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other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. 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The main objectives of the journal include: providing an intellectual platform for Vietnamese and international scholars; promoting interdisciplinary studies in social sciences and humanities; becoming the leading journal in social sciences and humanities in Vietnam; being indexed by worldwide databases and having academic recognition internationally in the near future.\\nThe journal is currently indexed by Google Scholar, WorldCat, Open Archives, Cosmos Impact Factor, Advanced Sciences Index, Scientific Indexing Services, CrossRef, EBSCO Information Services and Vietnam National University’s digital archive.\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Journal of Social Sciences and Humanities-Vietnam\"},{\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"ISSN 2354-1172, email: tapchikhxhnv@gmail.com, tckhxhnv@vnu.edu.vn\"},{\"insert\":\"\\n\"}]}","{\"ops\":[{\"insert\":\"Được thành lập ngày 31\u002F8\u002F2015 (giấy phép hoạt động số 155\u002FGP-BVHTT ngày 11 tháng 5 năm 2015 của Bộ Thông tin và Truyền thông, mã số tiêu chuẩn quốc tế ISSN 2354-1172), Tạp chí Khoa học Xã hội và Nhân văn (Journal of Social Sciences and Humanities) là ấn phẩm khoa học chính thức, duy nhất của Trường Đại học Khoa học Xã hội và Nhân văn, ĐHQG Hà Nội, phát triển và kế thừa Chuyên san Khoa học Xã hội và Nhân văn, Tạp chí Khoa học, ĐHQG Hà Nội.\\nTạp chí xuất bản định kỳ (04 số tiếng Việt\u002Fnăm và 02 số tiếng Anh\u002Fnăm), có nhiệm vụ \"},{\"attributes\":{\"italic\":true},\"insert\":\"công bố, giới thiệu các công trình nghiên cứu khoa học khoa học xã hội và nhân văn của các tác giả là các nhà khoa học trong và ngoài nước, phục vụ giảng dạy, học tập và nghiên cứu khoa học\"},{\"insert\":\". 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And the first issue was published in January 1998 with ISSN 1859-0128. Since then, STDJ has become the most important scientific forum of scientists from VNU-HCM as well as other universities. The magazine has undergone 20 years of development and has become a bridge for scientific exchanges, as well as enriching reference materials for the faculty, doctoral students, students of VNU-HCM in particular and other universities, institutes...\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Science and Technology Development Journal - Health Sciences (STDJ-HS) is a subjournal of Science and Technology Development Journal since 2020.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\" \"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"2. 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Bằng cách phối hợp thiết kế và phân phối các mô phỏng mô hình khí hậu toàn cầu về khí hậu trong quá khứ, hiện tại và tương lai, Dự án So sánh Mô hình Liên kết (CMIP) đã trở thành một trong những yếu tố nền tảng của khoa học khí hậu. Tuy nhiên, nhu cầu giải quyết một loạt các câu hỏi khoa học ngày càng mở rộng xuất phát từ nhiều cộng đồng nghiên cứu đã làm cho việc điều chỉnh tổ chức của CMIP là cần thiết. Sau một quá trình tham vấn cộng đồng lâu dài và rộng rãi, một cấu trúc mới và phân quyền hơn đã được thiết lập. Nó bao gồm ba yếu tố chính: (1) một số thí nghiệm chung, DECK (Chẩn đoán, Đánh giá và Đặc trưng khí hậu) và các mô phỏng lịch sử CMIP (1850 - gần hiện tại) sẽ duy trì tính liên tục và giúp ghi lại các đặc điểm cơ bản của các mô hình qua các giai đoạn khác nhau của CMIP; (2) các tiêu chuẩn chung, sự phối hợp, cơ sở hạ tầng và tài liệu sẽ tạo điều kiện thuận lợi cho việc phân phối đầu ra của mô hình và đặc trưng của tập hợp các mô hình; và (3) một tập hợp các Dự án So sánh Mô hình Được CMIP phê duyệt (MIPs) sẽ cụ thể cho một giai đoạn nhất định của CMIP (nay là CMIP6) và sẽ dựa trên DECK và các mô phỏng lịch sử CMIP để giải quyết một loạt các câu hỏi cụ thể và lấp đầy các khoảng trống khoa học của các giai đoạn CMIP trước. DECK và các mô phỏng lịch sử CMIP, cùng với việc sử dụng các tiêu chuẩn dữ liệu CMIP, sẽ là thẻ vào cho các mô hình tham gia vào CMIP. Sự tham gia vào các MIPs Được CMIP6 phê duyệt của các nhóm mô hình sẽ tùy thuộc vào quyết định của chính họ và sẽ phụ thuộc vào các lĩnh vực và ưu tiên khoa học của họ. Với những Thách thức Khoa học Lớn trong Chương trình Nghiên cứu Khí hậu Thế giới (WCRP) làm bối cảnh khoa học, CMIP6 sẽ giải quyết ba câu hỏi rộng: – Hệ thống Trái đất phản ứng như thế nào đối với tác động? – Nguồn gốc và hậu quả của các sai lệch mô hình có hệ thống là gì? – Làm thế nào chúng ta có thể đánh giá các thay đổi khí hậu trong tương lai khi xem xét biến đổi khí hậu nội tại, khả năng dự đoán và những bất định trong các kịch bản? Bài báo tổng quan về CMIP6 này trình bày bối cảnh và lý do cho cấu trúc mới của CMIP, cung cấp một mô tả chi tiết về DECK và các mô phỏng lịch sử CMIP6, và bao gồm một giới thiệu ngắn gọn về 21 MIPs Được CMIP6 phê duyệt.\u003C\u002Fjats:p>","\u003Cjats:p>Abstract. By coordinating the design and distribution of global climate model simulations of the past, current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experiments, the DECK (Diagnostic, Evaluation and Characterization of Klima) and CMIP historical simulations (1850–near present) that will maintain continuity and help document basic characteristics of models across different phases of CMIP; (2) common standards, coordination, infrastructure, and documentation that will facilitate the distribution of model outputs and the characterization of the model ensemble; and (3) an ensemble of CMIP-Endorsed Model Intercomparison Projects (MIPs) that will be specific to a particular phase of CMIP (now CMIP6) and that will build on the DECK and CMIP historical simulations to address a large range of specific questions and fill the scientific gaps of the previous CMIP phases. The DECK and CMIP historical simulations, together with the use of CMIP data standards, will be the entry cards for models participating in CMIP. Participation in CMIP6-Endorsed MIPs by individual modelling groups will be at their own discretion and will depend on their scientific interests and priorities. With the Grand Science Challenges of the World Climate Research Programme (WCRP) as its scientific backdrop, CMIP6 will address three broad questions:  – How does the Earth system respond to forcing? – What are the origins and consequences of systematic model biases?  – How can we assess future climate changes given internal climate variability, predictability, and uncertainties in scenarios? This CMIP6 overview paper presents the background and rationale for the new structure of CMIP, provides a detailed description of the DECK and CMIP6 historical simulations, and includes a brief introduction to the 21 CMIP6-Endorsed MIPs.\n                    \u003C\u002Fjats:p>",{"VI":772,"EN":773},"Tổng quan về thiết kế thí nghiệm và tổ chức của Dự án So sánh Mô hình Liên kết Giai đoạn 6 (CMIP6)","Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6)  experimental design and organization",{"VOID":775},"10.5194\u002Fgmd-9-1937-2016","PUBLICATION","2024-09-11T12:20:56.931+00:00","Auto Verify",[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F9\u002F1937\u002F2016\u002F",[783,804,826,847,869,891,912],{"id":784,"sortIndex":135,"researcher":26,"roles":785,"affiliations":786,"properties":797},"d8f130bc-f1f5-4bb6-ad55-4d399958cae7",[],[787],{"id":788,"sortIndex":36,"affiliation":789,"properties":26},"2ae148f7-7ef9-4238-b31d-479d3c186125",{"id":790,"createTime":791,"updateTime":791,"relativeEntities":792,"slug":793,"properties":794,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"0e3d1884-1063-4a90-bb16-99a0ef55bf6f","2024-09-11T12:20:57.158+00:00",[],"Program-for-Climate-Model-Diagnosis-and-Intercomparison-United-States-",{"title":795},{"EN":796},"Program for Climate Model Diagnosis and Intercomparison (United States)",{"openalex":798,"orcid":800,"title":802},{"VOID":799},"A5070265114",{"VOID":801},"https:\u002F\u002Forcid.org\u002F0000-0002-6491-2135",{"EN":803},"Karl E. 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J., and Malyshev, S.: Time Scales of Terrestrial Carbon Response Related to Land-Use Application: Implications for Initializing an Earth System Model, Earth Interact., 15, 1–16, 2011.",{"doi":1116},"10.1175\u002F2011EI401.1",{"id":26,"text":1118,"url":26,"identifiers":1119},"Sherwood, S. C., Bony, S., Boucher, O., Bretherton, C., Forster, P. M., Gregory, J. M., and Stevens, B.: Adjustments in the Forcing-Feedback Framework for Understanding Climate Change, B. Am. Meteorol. Soc., 96, 217–228, 2015.",{"doi":1120},"10.1175\u002FBAMS-D-13-00167.1",{"id":26,"text":1122,"url":26,"identifiers":1123},"Stevens, B.: Rethinking the Lower Bound on Aerosol Radiative Forcing, J. Climate, 28, 4794–4819, 2015.",{"doi":1124},"10.1175\u002FJCLI-D-14-00656.1",{"id":26,"text":1126,"url":26,"identifiers":1127},"Stott, P. A., Mitchell, J. F. B., Allen, M. R., Delworth, T. L., Gregory, J. M., Meehl, G. A., and Santer, B. D.: Observational constraints on past attributable warming and predictions of future global warming, J. Climate, 19, 3055–3069, 2006.",{"doi":1128},"10.1175\u002FJCLI3802.1",{"id":26,"text":1130,"url":26,"identifiers":1131},"Stouffer, R. J., Weaver, A. J., and Eby, M.: A method for obtaining pre-twentieth century initial conditions for use in climate change studies, Clim. Dynam., 23, 327–339, 2004.",{"doi":1132},"10.1007\u002Fs00382-004-0446-5",{"id":26,"text":1134,"url":26,"identifiers":1135},"Stouffer, R. J., Eyring, V., Meehl, G. A., Bony, S., Senior, C., Stevens, B., and Taylor, K. E.: CMIP5 Scientific Gaps and Recommendations for CMIP6, B. Am. Meteorol. Soc., submitted, 2015.",{},{"id":26,"text":1137,"url":26,"identifiers":1138},"Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: A Summary of the CMIP5 Experiment Design, available at: http:\u002F\u002Fcmip.llnl.gov\u002Fcmip5\u002Fdocs\u002FTaylor_CMIP5_design.pdf (last access: 13 May 2016), 2009.",{},{"id":26,"text":1140,"url":26,"identifiers":1141},"Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of Cmip5 and the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498, 2012.",{"doi":1142},"10.1175\u002FBAMS-D-11-00094.1",{"id":26,"text":1144,"url":26,"identifiers":1145},"Teixeira, J., Waliser, D., Ferraro, R., Gleckler, P., Lee, T., and Potter, G.: Satellite Observations for CMIP5: The Genesis of Obs4MIPs, B. Am. Meteorol. Soc., 95, 1329–1334, 2014.",{"doi":1146},"10.1175\u002FBAMS-D-12-00204.1",{"id":26,"text":1148,"url":26,"identifiers":1149},"Trenberth, K. and Asrar, G.: Challenges and Opportunities in Water Cycle Research: WCRP Contributions, Surv. Geophys., 35, 515–532, 2014.",{"doi":1150},"10.1007\u002Fs10712-012-9214-y",{"id":26,"text":1152,"url":26,"identifiers":1153},"van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview, Climatic Change, 109, 5–31, 2011.",{"doi":1154},"10.1007\u002Fs10584-011-0148-z",{"id":26,"text":1156,"url":26,"identifiers":1157},"Williams, D. N., Balaji, V., Cinquini, L., Denvil, S., Duffy, D., Evans, B., Ferraro, R., Hansen, R., Lautenschlager, M., and Trenham, C.: A Global Repository for Planet-Sized Experiments and Observations, B. Am. Meteorol. Soc., https:\u002F\u002Fdoi.org\u002F10.1175\u002Fbams-d-15-00132.1, online first, 2015.",{"doi":1158},"10.1175\u002FBAMS-D-15-00132.1",{"id":26,"text":1160,"url":26,"identifiers":1161},"Williams, K. and Webb, M.: A quantitative performance assessment of cloud regimes in climate models, Clim. Dynam., 33, 141–157, 2009.",{"doi":1162},"10.1007\u002Fs00382-008-0443-1",false,{"id":1165,"createTime":1166,"updateTime":1167,"relativeEntities":1168,"slug":1169,"properties":1170,"entityType":776,"verifyStatus":25,"verifyTime":1166,"verifyNote":778,"syncStatus":28,"languages":1185,"translateLanguages":1186,"viewCount":36,"primaryUrl":1187,"fullTextUrl":26,"authors":1188,"publicationType":934,"publisherRelationship":1239,"citationCount":1277,"citationInfo":1278,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":1289,"isForceReanalyzing":1163},"59b42323-6dae-46d7-bdc0-809cce96f035","2024-10-05T04:23:32.965+00:00","2024-12-25T12:47:25.808+00:00",[],"Root-mean-square-error-RMSE-or-mean-absolute-error-MAE-Arguments-against-avoiding-RMSE-in-the-literature",{"mag":1171,"keywords":1173,"openalex":1175,"abstract":1177,"title":1180,"doi":1183},{"VOID":1172},"2102148524",{"VI":1174},"Sai số bình phương trung bình, sai số tuyệt đối trung bình, đánh giá mô hình, phân phối Gaussian, thống kê dựa trên tổng bình phương, bất đẳng thức tam giác, hiệu suất mô hình.",{"VOID":1176},"W2102148524",{"EN":1178,"VI":1179},"\u003Cjats:p>Abstract. Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error, and thus the MAE would be a better metric for that purpose. While some concerns over using RMSE raised by Willmott and Matsuura (2005) and Willmott et al. (2009) are valid, the proposed avoidance of RMSE in favor of MAE is not the solution. Citing the aforementioned papers, many researchers chose MAE over RMSE to present their model evaluation statistics when presenting or adding the RMSE measures could be more beneficial. In this technical note, we demonstrate that the RMSE is not ambiguous in its meaning, contrary to what was claimed by Willmott et al. (2009). The RMSE is more appropriate to represent model performance than the MAE when the error distribution is expected to be Gaussian. In addition, we show that the RMSE satisfies the triangle inequality requirement for a distance metric, whereas Willmott et al. (2009) indicated that the sums-of-squares-based statistics do not satisfy this rule. In the end, we discussed some circumstances where using the RMSE will be more beneficial. However, we do not contend that the RMSE is superior over the MAE. Instead, a combination of metrics, including but certainly not limited to RMSEs and MAEs, are often required to assess model performance.\n                    \u003C\u002Fjats:p>","\u003Cjats:p>Tóm tắt. Cả sai số bình phương trung bình (RMSE) và sai số tuyệt đối trung bình (MAE) đều thường được sử dụng trong các nghiên cứu đánh giá mô hình. Willmott và Matsuura (2005) đã đề xuất rằng RMSE không phải là một chỉ số tốt về hiệu suất trung bình của mô hình và có thể là một chỉ báo gây hiểu lầm về sai số trung bình, do đó MAE sẽ là một chỉ số tốt hơn cho mục đích đó. Mặc dù một số lo ngại về việc sử dụng RMSE được Willmott và Matsuura (2005) và Willmott et al. (2009) nêu ra là có cơ sở, sự đề xuất tránh sử dụng RMSE thay vì MAE không phải là giải pháp. Trích dẫn những bài báo đã nói ở trên, nhiều nhà nghiên cứu đã chọn MAE thay vì RMSE để trình bày thống kê đánh giá mô hình của họ khi việc trình bày hoặc thêm các chỉ số RMSE có thể có lợi hơn. Trong ghi chú kỹ thuật này, chúng tôi chứng minh rằng RMSE không mơ hồ trong ý nghĩa của nó, trái ngược với những gì được Willmott et al. (2009) tuyên bố. RMSE thích hợp hơn để đại diện cho hiệu suất của mô hình khi phân phối sai số được kỳ vọng là phân phối Gaussian. Ngoài ra, chúng tôi chỉ ra rằng RMSE thỏa mãn yêu cầu bất đẳng thức tam giác cho một chỉ số đo khoảng cách, trong khi Willmott et al. (2009) chỉ ra rằng các thống kê dựa trên tổng bình phương không thỏa mãn quy tắc này. Cuối cùng, chúng tôi đã thảo luận về một số tình huống mà việc sử dụng RMSE sẽ có lợi hơn. Tuy nhiên, chúng tôi không tranh cãi rằng RMSE ưu việt hơn MAE. Thay vào đó, một sự kết hợp của các chỉ số, bao gồm nhưng chắc chắn không giới hạn ở RMSEs và MAEs, thường cần thiết để đánh giá hiệu suất của mô hình.\\n                    \u003C\u002Fjats:p>",{"EN":1181,"VI":1182},"Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature","Sai số bình phương trung bình (RMSE) hay sai số tuyệt đối trung bình (MAE)? - Lập luận chống lại việc tránh sử dụng RMSE trong tài liệu",{"VOID":1184},"10.5194\u002Fgmd-7-1247-2014",[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F7\u002F1247\u002F2014\u002F",[1189,1222],{"id":1190,"sortIndex":36,"researcher":26,"roles":1191,"affiliations":1192,"properties":1215},"89d5892c-24aa-47a0-8b04-79fc6c7056ac",[],[1193,1204],{"id":1194,"sortIndex":36,"affiliation":1195,"properties":26},"d4cebdc9-3ac5-4dcd-b668-e1b482f2a4ec",{"id":1196,"createTime":1197,"updateTime":1198,"relativeEntities":1199,"slug":1200,"properties":1201,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"546aa543-00c4-4bd9-968b-f7a9c8a0e5fc","2024-02-05T16:10:06.308+00:00","2024-10-05T04:23:33.040+00:00",[],"Cooperative-Institute-for-Climate-and-Satellites-University-of-Maryland-College-Park-MD-20740-USA",{"title":1202},{"VI":1203},"Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD 20740, USA",{"id":1205,"sortIndex":115,"affiliation":1206,"properties":26},"1f867fa2-e795-4f02-93de-6a2902bac3c7",{"id":1207,"createTime":1208,"updateTime":1209,"relativeEntities":1210,"slug":1211,"properties":1212,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"e698541a-dc28-4dd4-9a51-49883f359911","2024-02-05T16:10:06.333+00:00","2024-10-05T04:23:33.043+00:00",[],"NOAA-Air-Resources-Laboratory-ARL-NOAA-Center-for-Weather-and-Climate-Prediction-5830-University-Research-Court-College-Park-MD-20740-USA",{"title":1213},{"VI":1214},"NOAA Air Resources Laboratory (ARL), NOAA Center for Weather and Climate Prediction, 5830 University Research Court College Park, MD 20740, USA",{"openalex":1216,"orcid":1218,"title":1220},{"VOID":1217},"A5024305824",{"VOID":1219},"https:\u002F\u002Forcid.org\u002F0000-0003-3520-2641",{"EN":1221},"Tianfeng Chai",{"id":1223,"sortIndex":115,"researcher":26,"roles":1224,"affiliations":1225,"properties":1232},"de99f03f-e061-4dc6-a66e-a89d93da9101",[],[1226],{"id":1227,"sortIndex":36,"affiliation":1228,"properties":26},"a69eccdf-8d93-491a-b216-1445e1fcbed4",{"id":1207,"createTime":1208,"updateTime":1209,"relativeEntities":1229,"slug":1211,"properties":1230,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":1231},{"VI":1214},{"openalex":1233,"orcid":1235,"title":1237},{"VOID":1234},"A5014171003",{"VOID":1236},"https:\u002F\u002Forcid.org\u002F0000-0001-7081-9992",{"EN":1238},"Roland R. 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R., Tang, Y., Sandu, A., Heckel, A., Richter, A., and Burrows, J. P.: Regional NOx emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 column observations, Atmos. Environ., 43, 5046–5055, 2009.",{"doi":1293},"10.1016\u002Fj.atmosenv.2009.06.052",{"id":26,"text":1295,"url":26,"identifiers":1296},"Chai, T., Kim, H.-C., Lee, P., Tong, D., Pan, L., Tang, Y., Huang, J., McQueen, J., Tsidulko, M., and Stajner, I.: Evaluation of the United States National Air Quality Forecast Capability experimental real-time predictions in 2010 using Air Quality System ozone and NO2 measurements, Geosci. Model Dev., 6, 1831–1850, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fgmd-6-1831-2013, 2013.",{"doi":1297},"10.5194\u002Fgmd-6-1831-2013",{"id":26,"text":1299,"url":26,"identifiers":1300},"Chatterjee, A., Engelen, R. J., Kawa, S. R., Sweeney, C., and Michalak, A. M.: Background error covariance estimation for atmospheric CO2 data assimilation, J. Geophys. Res., 118, 10140–10154, 2013.",{"doi":1301},"10.1002\u002Fjgrd.50654",{"id":26,"text":1303,"url":26,"identifiers":1304},"Horn, R. A. and Johnson, C. R.: Matrix Analysis, Cambridge University Press, 1990.",{},{"id":26,"text":1306,"url":26,"identifiers":1307},"Huber, P. and Ronchetti, E.: Robust statistics, Wiley New York, 2009.",{"doi":1308},"10.1002\u002F9780470434697",{"id":26,"text":1310,"url":26,"identifiers":1311},"Jerez, S., Pedro Montavez, J., Jimenez-Guerrero, P., Jose Gomez-Navarro, J., Lorente-Plazas, R., and Zorita, E.: A multi-physics ensemble of present-day climate regional simulations over the Iberian Peninsula, Clim. Dynam., 40, 3023–3046, 2013.",{"doi":1312},"10.1007\u002Fs00382-012-1539-1",{"id":26,"text":1314,"url":26,"identifiers":1315},"McKeen, S. A., Wilczak, J., Grell, G., Djalalova, I., Peckham, S., Hsie, E., Gong, W., Bouchet, V., Menard, S., Moffet, R., McHenry, J., McQueen, J., Tang, Y., Carmichael, G. R., Pagowski, M., Chan, A., Dye, T., Frost, G., Lee, P., and Mathur, R.: Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of 2004, J. Geophys. Res., 110, D21307, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2005JD005858, 2005.",{"doi":1316},"10.1029\u002F2005JD005858",{"id":26,"text":1318,"url":26,"identifiers":1319},"Savage, N. H., Agnew, P., Davis, L. S., Ordóñez, C., Thorpe, R., Johnson, C. E., O'Connor, F. M., and Dalvi, M.: Air quality modelling using the Met Office Unified Model (AQUM OS24-26): model description and initial evaluation, Geosci. Model Dev., 6, 353–372, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fgmd-6-353-2013, 2013.",{"doi":1320},"10.5194\u002Fgmd-6-353-2013",{"id":26,"text":1322,"url":26,"identifiers":1323},"Taylor, M. H., Losch, M., Wenzel, M., and Schroeter, J.: On the sensitivity of field reconstruction and prediction using empirical orthogonal functions derived from gappy data, J. Climate, 26, 9194–9205, 2013.",{"doi":1324},"10.1175\u002FJCLI-D-13-00089.1",{"id":26,"text":1326,"url":26,"identifiers":1327},"Tukey, J. W.: Exploratory Data Analysis, Addison-Wesley, 1977.",{},{"id":26,"text":1329,"url":26,"identifiers":1330},"Willmott, C. and Matsuura, K.: Advantages of the Mean Absolute Error (MAE) over the Root Mean Square Error (RMSE) in assessing average model performance, Clim. Res., 30, 79–82, 2005.",{"doi":1331},"10.3354\u002Fcr030079",{"id":26,"text":1333,"url":26,"identifiers":1334},"Willmott, C. J., Matsuura, K., and Robeson, S. M.: Ambiguities inherent in sums-of-squares-based error statistics, Atmos. Environ., 43, 749–752, 2009.",{"doi":1335},"10.1016\u002Fj.atmosenv.2008.10.005",{"id":1337,"createTime":1338,"updateTime":1339,"relativeEntities":1340,"slug":1341,"properties":1342,"entityType":776,"verifyStatus":25,"verifyTime":1356,"verifyNote":778,"syncStatus":28,"languages":1357,"translateLanguages":1358,"viewCount":36,"primaryUrl":1359,"fullTextUrl":26,"authors":1360,"publicationType":934,"publisherRelationship":1494,"citationCount":1531,"citationInfo":1532,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":1543,"isForceReanalyzing":1163},"1b703b0d-f49b-433c-8924-abe1004b0586","2024-09-19T11:32:26.577+00:00","2025-02-03T01:01:57.738+00:00",[],"The-Model-of-Emissions-of-Gases-and-Aerosols-from-Nature-version-2-1-MEGAN2-1-an-extended-and-updated-framework-for-modeling-biogenic-emissions",{"mag":1343,"keywords":1345,"openalex":1346,"abstract":1348,"title":1351,"doi":1354},{"VOID":1344},"2955601895",{"VI":765},{"VOID":1347},"W2955601895",{"VI":1349,"EN":1350},"\u003Cjats:p>Tóm tắt. Mô hình phát thải khí và aerosol từ tự nhiên phiên bản 2.1 (MEGAN2.1) là một khung mô hình nhằm ước lượng lưu lượng các hợp chất sinh học giữa các hệ sinh thái đất và khí quyển bằng cách sử dụng các thuật toán cơ học đơn giản để tính đến các quá trình chủ yếu đã biết kiểm soát phát thải sinh học. Nó có sẵn dưới dạng mã offline và cũng đã được kết hợp vào các mô hình hóa bề mặt đất và hóa học khí quyển. MEGAN2.1 là bản cập nhật từ các phiên bản trước đó, bao gồm MEGAN2.0, được mô tả cho phát thải isoprene bởi Guenther và cộng sự (2006) và MEGAN2.02, được mô tả cho phát thải monoterpene và sesquiterpene bởi Sakulyanontvittaya và cộng sự (2008). Isoprene chiếm khoảng một nửa tổng lượng phát thải hợp chất hữu cơ bay hơi sinh học (BVOC) toàn cầu ước tính 1 Pg (1000 Tg hoặc 10^15 g) sử dụng MEGAN2.1. Methanol, ethanol, acetaldehyde, acetone, α-pinene, β-pinene, t-β-ocimene, limonene, ethene, và propene góp phần thêm khoảng 30% vào lượng phát thải ước tính của MEGAN2.1. Thêm vào đó, 20 hợp chất (chủ yếu là terpenoid) liên quan đến ước tính của MEGAN2.1 về 17% tổng phát thải còn lại, với 3% còn lại phân bổ cho hơn 100 hợp chất. Phát thải của 41 monoterpene và 32 sesquiterpene cùng chiếm khoảng 15% và 3%, tương ứng, trong tổng phát thải BVOC toàn cầu được ước tính. Các loại cây nhiệt đới phủ khoảng 18% bề mặt đất toàn cầu và được ước tính chịu trách nhiệm cho khoảng 80% phát thải terpenoid và khoảng 50% phát thải VOC khác. Các loại cây khác phủ khoảng cùng một khu vực nhưng được ước tính chỉ đóng góp khoảng 10% tổng phát thải. Độ lớn của phát thải ước tính với MEGAN2.1 nằm trong khoảng các ước tính được báo cáo bằng các phương pháp khác và phần lớn sự khác biệt giữa các giá trị báo cáo có thể được quy cho độ che phủ đất và các biến điều khiển khí tượng. Phiên bản offline của mã nguồn MEGAN2.1 và các biến điều khiển có sẵn từ\n                \u003C\u002Fjats:p>","\u003Cjats:p>Abstract. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) is a modeling framework for estimating fluxes of biogenic compounds between terrestrial ecosystems and the atmosphere using simple mechanistic algorithms to account for the major known processes controlling biogenic emissions. It is available as an offline code and has also been coupled into land surface and atmospheric chemistry models. MEGAN2.1 is an update from the previous versions including MEGAN2.0, which was described for isoprene emissions by Guenther et al. (2006) and MEGAN2.02, which was described for monoterpene and sesquiterpene emissions by Sakulyanontvittaya et al. (2008). Isoprene comprises about half of the total global biogenic volatile organic compound (BVOC) emission of 1 Pg (1000 Tg or 1015 g) estimated using MEGAN2.1. Methanol, ethanol, acetaldehyde, acetone, α-pinene, β-pinene, t-β-ocimene, limonene, ethene, and propene together contribute another 30% of the MEGAN2.1 estimated emission. An additional 20 compounds (mostly terpenoids) are associated with the MEGAN2.1 estimates of another 17% of the total emission with the remaining 3% distributed among >100 compounds. Emissions of 41 monoterpenes and 32 sesquiterpenes together comprise about 15% and 3%, respectively, of the estimated total global BVOC emission. Tropical trees cover about 18% of the global land surface and are estimated to be responsible for ~80% of terpenoid emissions and ~50% of other VOC emissions. Other trees cover about the same area but are estimated to contribute only about 10% of total emissions. The magnitude of the emissions estimated with MEGAN2.1 are within the range of estimates reported using other approaches and much of the differences between reported values can be attributed to land cover and meteorological driving variables. The offline version of MEGAN2.1 source code and driving variables is available from \n                    \u003C\u002Fjats:p>",{"VI":1352,"EN":1353},"Mô hình phát thải khí và aerosol từ tự nhiên phiên bản 2.1 (MEGAN2.1): khung mô hình mở rộng và cập nhật cho phát thải sinh học","The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions",{"VOID":1355},"10.5194\u002Fgmd-5-1471-2012","2024-09-19T11:32:26.576+00:00",[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F5\u002F1471\u002F2012\u002F",[1361,1383,1404,1421,1438,1453,1475],{"id":1362,"sortIndex":135,"researcher":26,"roles":1363,"affiliations":1364,"properties":1376},"31b77a71-60be-4ed1-b2a6-71a0642513fb",[],[1365],{"id":1366,"sortIndex":36,"affiliation":1367,"properties":26},"842a1045-b481-4293-8ab4-af78270b7f72",{"id":1368,"createTime":1369,"updateTime":1370,"relativeEntities":1371,"slug":1372,"properties":1373,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"0b088bd2-0dc7-4d0c-872e-e48fcd0ba649","2024-01-09T16:15:57.714+00:00","2025-06-11T23:55:27.095+00:00",[],"School-of-Environmental-Science-and-Engineering-Sun-Yat-sen-University-Guangzhou-510275-China",{"title":1374},{"VI":1375},"School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China",{"openalex":1377,"orcid":1379,"title":1381},{"VOID":1378},"A5103036870",{"VOID":1380},"https:\u002F\u002Forcid.org\u002F0000-0002-2472-6485",{"EN":1382},"Xin Wang",{"id":1384,"sortIndex":162,"researcher":26,"roles":1385,"affiliations":1386,"properties":1397},"faef1d58-a062-406f-a83e-a7f5ce66f815",[],[1387],{"id":1388,"sortIndex":36,"affiliation":1389,"properties":26},"29854705-1b0e-4327-979e-6bea904b491d",{"id":1390,"createTime":1391,"updateTime":1391,"relativeEntities":1392,"slug":1393,"properties":1394,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"5dc369f5-c282-401a-9687-1197ec5ee8e8","2024-09-19T11:32:26.588+00:00",[],"Atmospheric-Chemistry-Division-NCAR-Earth-System-Laboratory-Boulder-CO-USA",{"title":1395},{"EN":1396},"Atmospheric Chemistry Division, NCAR Earth System Laboratory, Boulder, CO, USA",{"openalex":1398,"orcid":1400,"title":1402},{"VOID":1399},"A5047345295",{"VOID":1401},"https:\u002F\u002Forcid.org\u002F0000-0003-2325-6212",{"EN":1403},"L. 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Chem., 45, 173–196, 2003.",{},{"id":26,"text":2039,"url":26,"identifiers":2040},"Wilkinson, M. J., Monson, R. K., Trahan, N., Lee, S., Brown, E., Jackson, R. B., Polley, H. W. , Fay, P. A., and Fall, R.: Leaf isoprene emission rate as a function of atmospheric CO2 concentration, Glob. Change Biol., 15, 1189–1200, 2009.",{"doi":2041},"10.1111\u002Fj.1365-2486.2008.01803.x",{"id":26,"text":2043,"url":26,"identifiers":2044},"Yani, A., Pauly, G., Faye, M., Salin, F., and Gleizes, M.: The effect of a long-term water stress on the metabolism and emission of terpenes of the foliage of Cupressus sempervirens, Plant Cell Environ., 16, 975–981, 1993.",{"doi":2045},"10.1111\u002Fj.1365-3040.1993.tb00521.x",{"id":26,"text":2047,"url":26,"identifiers":2048},"Yoshida, Y., Wang, Y., Shim, C., Cunnold, D., Blake, D. R., and Dutton, G. S.: Inverse modeling of the global methyl chloride sources, J. Geophys. 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Các dự đoán về biến đổi khí hậu trong tương lai đóng vai trò cơ bản trong việc cải thiện sự hiểu biết về hệ thống khí hậu cũng như xác định các rủi ro xã hội và các tùy chọn đáp ứng. Dự án So Sánh Mô Hình Kịch Bản (ScenarioMIP) là hoạt động chính trong Giai đoạn 6 của Dự án So Sánh Mô Hình Ghép (CMIP6) nhằm cung cấp các dự đoán khí hậu đa mô hình dựa trên các kịch bản thay thế về sự phát thải trong tương lai và biến đổi sử dụng đất do các mô hình đánh giá tích hợp tạo ra. Trong bài báo này, chúng tôi mô tả các mục tiêu, thiết kế thử nghiệm của ScenarioMIP và mối quan hệ của nó với các hoạt động khác trong CMIP6. Thiết kế của ScenarioMIP là một thành phần trong một quy trình kịch bản lớn hơn nhằm tạo điều kiện cho một loạt các nghiên cứu tích hợp trong cộng đồng khoa học khí hậu, mô hình đánh giá tích hợp, và tác động, thích ứng và tính dễ bị tổn thương, và sẽ là một phần quan trọng trong cơ sở bằng chứng trong các đánh giá sắp tới của Ủy ban Liên chính phủ về Biến đổi Khí hậu (IPCC). Đồng thời, nó sẽ cung cấp cơ sở để điều tra một số câu hỏi khoa học và chính sách cụ thể có liên quan đến phân tích dựa trên kịch bản, bao gồm vai trò của các yếu tố tác động cụ thể như sử dụng đất và aerosol, tác động của sự đạt đỉnh và giảm bớt trong các yếu tố tác động, hậu quả của các kịch bản giới hạn sự nóng lên dưới 2 °C, đóng góp tương đối vào sự không chắc chắn từ các kịch bản, các mô hình khí hậu và biến đổi nội bộ, và kết quả của hệ thống khí hậu lâu dài vượt ra ngoài thế kỷ 21. Để phục vụ cho một loạt các cộng đồng khoa học và giải quyết những câu hỏi này, một thiết kế đã được xác định bao gồm tám kịch bản thế kỷ 21 thay thế cho nhau cộng với một tập hợp điều kiện bắt đầu lớn và một bộ các phần mở rộng dài hạn, chia thành hai cấp độ được xác định theo ưu tiên tương đối. Một số kịch bản này cũng sẽ cung cấp cơ sở cho các biến thể dự kiến sẽ được thực hiện trong các MIP khác được CMIP6 chấp thuận để điều tra các câu hỏi liên quan đến các yếu tố tác động cụ thể. Các kịch bản phát thải và sử dụng đất được chi tiết không gian, hài hòa, được tạo ra bằng các mô hình đánh giá tích hợp sẽ được cung cấp cho các nhóm mô hình khí hậu tham gia vào cuối năm 2016, với các mô phỏng mô hình khí hậu được thực hiện trong khung thời gian từ 2017–2018, và đầu ra từ các dự đoán mô hình khí hậu sẽ được cung cấp và phân tích thực hiện trong thời gian từ 2018–2020.\u003C\u002Fjats:p>","\u003Cjats:p>Abstract. Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017–2018 time frame, and output from the climate model projections made available and analyses performed over the 2018–2020 period.\n                    \u003C\u002Fjats:p>",{"VI":2066,"EN":2067},"Dự án So Sánh Mô Hình Kịch Bản (ScenarioMIP) cho CMIP6","The Scenario Model Intercomparison Project (ScenarioMIP) for 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Mô hình Bay hơi Đất Toàn cầu Amsterdam (GLEAM) là một tập hợp các thuật toán dành cho việc ước lượng bay hơi trên đất và độ ẩm đất trong vùng rễ từ dữ liệu vệ tinh. Kể từ khi phát triển vào năm 2011, mô hình này đã được chỉnh sửa định kỳ, nhằm tối ưu hóa việc kết hợp các biến địa vật lý mới quan sát từ vệ tinh, và cải thiện việc mô phỏng các quá trình vật lý. Trong nghiên cứu này, phiên bản tiếp theo của mô hình này (v3) được trình bày. Các thay đổi chính so với phiên bản trước bao gồm (1) một công thức điều chỉnh lại áp lực bay hơi, (2) thuật toán thoát nước được tối ưu hóa, và (3) một hệ thống đồng bộ hóa dữ liệu độ ẩm đất mới. GLEAM v3 được sử dụng để sản xuất ba bộ dữ liệu mới về bay hơi trên đất và độ ẩm đất trong vùng rễ, bao gồm một bộ dữ liệu 36 năm kéo dài từ 1980 đến 2015, được gọi là v3a (dựa trên độ ẩm đất quan sát từ vệ tinh, độ sâu quang học thực vật và tương đương nước tuyết, nhiệt độ không khí tái phân tích và bức xạ, cùng với một sản phẩm mưa đa nguồn), và hai bộ dữ liệu dựa trên vệ tinh. Hai bộ dữ liệu sau chia sẻ phần lớn các yếu tố kiểm soát của chúng, ngoại trừ độ sâu quang học thực vật và độ ẩm đất, được dựa trên các quan sát từ các cảm biến vi sóng thụ động và chủ động khoảng C- và L-band (Sáng kiến Biến đổi Khí hậu của Cơ quan Vũ trụ Châu Âu, ESA CCI) cho bộ dữ liệu v3b (từ 2003-2015) và các quan sát từ vệ tinh Độ ẩm và Độ mặn Đại dương (SMOS) trong bộ dữ liệu v3c (từ 2011-2015). Tại đây, ba bộ dữ liệu này được mô tả chi tiết, so sánh với các bộ dữ liệu tương tự được tạo ra bằng phiên bản trước của GLEAM (v2), và được xác nhận so với các phép đo từ 91 tháp covarience quay và 2325 cảm biến độ ẩm đất trên một loạt hệ sinh thái đa dạng. Các kết quả chỉ ra rằng chất lượng độ ẩm đất v3 tốt hơn đáng kể so với v2: hệ số tương quan trung bình so với các phép đo độ ẩm đất bề mặt tại chỗ tăng từ 0.61 lên 0.64 trong trường hợp của bộ dữ liệu v3a và sự biểu diễn độ ẩm đất trong lớp thứ hai cũng được cải thiện, với các hệ số tương quan tăng từ 0.47 lên 0.53. Cải thiện tương tự được quan sát đối với các bộ dữ liệu v3b và c. Mặc dù có sự khác biệt khu vực, chất lượng của các luồng bay hơi vẫn tương tự như phiên bản trước của GLEAM, với các hệ số tương quan trung bình so với các phép đo covarience quay dao động từ 0.78 đến 0.81 cho các bộ dữ liệu khác nhau. Các bộ dữ liệu toàn cầu về bay hơi trên đất và độ ẩm đất trong vùng rễ này hiện đã có sẵn công khai tại www.GLEAM.eu và có thể được sử dụng cho các ứng dụng thủy văn quy mô lớn, các nghiên cứu khí hậu, hoặc nghiên cứu về phản hồi giữa đất và khí quyển.\u003C\u002Fjats:p>","\u003Cjats:p>Abstract. The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1) a revised formulation of the evaporative stress, (2) an optimized drainage algorithm, and (3) a new soil moisture data assimilation system. GLEAM v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980–2015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C- and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003–2015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011–2015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land–atmosphere feedbacks.\n                    \u003C\u002Fjats:p>",{"VI":2726,"EN":2727},"GLEAM v3: bay hơi từ mặt đất và độ ẩm đất trong vùng rễ dựa trên dữ liệu vệ tinh","GLEAM v3: satellite-based land evaporation and root-zone soil moisture",{"VOID":2729},"10.5194\u002Fgmd-10-1903-2017",[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F10\u002F1903\u002F2017\u002F",[2734,2756,2777,2796,2817,2845,2870,2898,2921],{"id":2735,"sortIndex":36,"researcher":26,"roles":2736,"affiliations":2737,"properties":2749},"6defbc92-148a-4f22-b39b-3c7a3930ad8c",[],[2738],{"id":2739,"sortIndex":36,"affiliation":2740,"properties":26},"574ebffb-a774-404d-bd8b-1e64cf90cc6a",{"id":2741,"createTime":2742,"updateTime":2743,"relativeEntities":2744,"slug":2745,"properties":2746,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"cd982f5a-4101-4d06-b2a1-efc9abe2f3b5","2024-01-03T15:44:42.842+00:00","2024-09-17T13:48:44.855+00:00",[],"Laboratory-of-Hydrology-and-Water-Management-Ghent-University-Coupure-links-653-9000-Ghent-Belgium",{"title":2747},{"VI":2748},"Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium",{"openalex":2750,"orcid":2752,"title":2754},{"VOID":2751},"A5036096971",{"VOID":2753},"https:\u002F\u002Forcid.org\u002F0000-0002-7368-7953",{"EN":2755},"Brecht Martens",{"id":2757,"sortIndex":111,"researcher":26,"roles":2758,"affiliations":2759,"properties":2770},"d6576186-f13b-4125-82e2-166a3770a602",[],[2760],{"id":2761,"sortIndex":36,"affiliation":2762,"properties":26},"380d67e1-e1d4-4a00-9308-db9ea8534da4",{"id":2763,"createTime":2764,"updateTime":2764,"relativeEntities":2765,"slug":2766,"properties":2767,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"1a8e9cb7-68cb-4aa1-bd0d-9e84f7bda577","2024-09-02T23:11:54.934+00:00",[],"Transmissivity-VanderSat-B-V-Space-Technology-Center-Huygensstraat-34-2201-DK-Noordwijk-Netherlands",{"title":2768},{"EN":2769},"Transmissivity\u002FVanderSat B.V., Space Technology Center, Huygensstraat 34, 2201 DK Noordwijk, Netherlands",{"openalex":2771,"orcid":2773,"title":2775},{"VOID":2772},"A5086850291",{"VOID":2774},"https:\u002F\u002Forcid.org\u002F0000-0002-4498-8984",{"EN":2776},"Richard de Jeu",{"id":2778,"sortIndex":162,"researcher":26,"roles":2779,"affiliations":2780,"properties":2791},"88819fa9-2a62-4de0-811d-c6f4265c6800",[],[2781],{"id":2782,"sortIndex":36,"affiliation":2783,"properties":26},"54033ccb-f718-4817-ac05-782ad79c3956",{"id":2784,"createTime":2785,"updateTime":2785,"relativeEntities":2786,"slug":2787,"properties":2788,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"25603069-95ab-4fd9-9147-0b7351dd1580","2024-09-02T23:11:55.030+00:00",[],"European-Space-Research-Institute-ESRIN-European-Space-Agency-ESA-Via-Galileo-Galilei-64-00044-Frascati-Italy",{"title":2789},{"EN":2790},"European Space Research Institute (ESRIN), European Space Agency (ESA), Via Galileo Galilei 64, 00044 Frascati, Italy",{"openalex":2792,"title":2794},{"VOID":2793},"A5040326608",{"EN":2795},"Diego Fernández‐Prieto",{"id":2797,"sortIndex":135,"researcher":26,"roles":2798,"affiliations":2799,"properties":2810},"aa50a95b-1a75-46bf-b04e-2bbad40d8e3f",[],[2800],{"id":2801,"sortIndex":36,"affiliation":2802,"properties":26},"709b7d51-b290-4dd5-aa3f-c3dc841793d9",{"id":2803,"createTime":2804,"updateTime":2804,"relativeEntities":2805,"slug":2806,"properties":2807,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"1befc0e1-05eb-4dd4-9adf-7a59527a79dd","2024-09-02T23:11:55.100+00:00",[],"Joint-Research-Centre-JRC-European-Comission-Via-Enrico-Fermi-2749-21027-Ispra-Italy",{"title":2808},{"EN":2809},"Joint Research Centre (JRC), European Comission, Via Enrico Fermi 2749, 21027 Ispra, Italy",{"openalex":2811,"orcid":2813,"title":2815},{"VOID":2812},"A5057753834",{"VOID":2814},"https:\u002F\u002Forcid.org\u002F0000-0003-2553-9566",{"EN":2816},"Hylke E. 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Forest Meteorol., 50, 519–530, 2010.",{"doi":3470},"10.1016\u002Fj.agrformet.2010.01.011",{"id":26,"text":3472,"url":26,"identifiers":3473},"Zhang, K., Kimball, J. S., Nemani, R. R., and Running, S. W.: A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006, Water Resour. Res., 46, W09522, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2009WR008800, 2010.",{"doi":3474},"10.1029\u002F2009WR008800",{"id":26,"text":3476,"url":26,"identifiers":3477},"Zhang, Y., Peña-Arancibia, J. L., McVicar, T. R., Chiew, F. H. S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y. Y., Miralles, D. G., and Pan, M.: Multi-decadal trends in global terrestrial evapotranspiration and its components, Scientific reports, 6, 19124, https:\u002F\u002Fdoi.org\u002F10.1038\u002Fsrep19124, 2016.",{"doi":3478},"10.1038\u002Fsrep19124",{"id":3480,"createTime":3481,"updateTime":3482,"relativeEntities":3483,"slug":3484,"properties":3485,"entityType":776,"verifyStatus":25,"verifyTime":3481,"verifyNote":778,"syncStatus":28,"languages":3498,"translateLanguages":3499,"viewCount":36,"primaryUrl":3500,"fullTextUrl":26,"authors":3501,"publicationType":934,"publisherRelationship":3640,"citationCount":3677,"citationInfo":3678,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":3686,"isForceReanalyzing":1163},"949a8706-8ff0-4332-b579-621f2c6f25d2","2024-10-14T06:35:40.135+00:00","2025-01-08T16:56:21.045+00:00",[],"The-Fire-INventory-from-NCAR-FINN-a-high-resolution-global-model-to-estimate-the-emissions-from-open-burning",{"mag":3486,"keywords":3488,"openalex":3489,"abstract":3491,"title":3494,"doi":3497},{"VOID":3487},"2152811544",{"VI":765},{"VOID":3490},"W2152811544",{"VI":3492,"EN":3493},"\u003Cjats:p>Tóm tắt. Kho dữ liệu Lửa từ phiên bản NCAR 1.0 (FINNv1) cung cấp ước tính hàng ngày với độ phân giải 1 km về khí trace và các hạt phát thải từ việc đốt mở biomass, bao gồm cháy rừng, lửa nông nghiệp và đốt theo quy định, không bao gồm việc sử dụng nhiên liệu sinh học và đốt rác thải. Các yếu tố phát thải được sử dụng trong các phép tính đã được cập nhật với dữ liệu gần đây, đặc biệt là đối với các hợp chất hữu cơ không chứa methane (NMOC). Các ước tính phát thải NMOC toàn cầu hàng năm الناتج lên tới 5 lần hơn một số ước tính trước đây. Các hồ sơ phân loại hóa học, cần thiết để phân bổ tổng số ước tính phát thải NMOC cho các loài tổng hợp để sử dụng trong các mô hình vận chuyển hóa học, được cung cấp cho ba cơ chế hóa học được sử dụng rộng rãi: SAPRC99, GEOS-CHEM và MOZART-4. Sử dụng các hồ sơ này, FINNv1 cũng cung cấp các ước tính toàn cầu về các hợp chất hữu cơ quan trọng, bao gồm formaldehyde và methanol. Sự không chắc chắn trong các ước tính phát thải phát sinh từ một số bước phương pháp. Việc sử dụng các điểm nóng về hỏa hoạn, khu vực bị cháy, bản đồ che phủ đất, các ước tính tiêu thụ biomass và các yếu tố phát thải đều làm gia tăng lỗi trong các ước tính mô hình. Sự không chắc chắn trong các ước tính phát thải FINNv1 khoảng 2 lần; nhưng, các ước tính toàn cầu phù hợp khá tốt với các kho dữ liệu toàn cầu khác về phát thải từ đốt biomass cho CO, CO2, và các loài khác với các yếu tố phát thải ít biến đổi hơn. Các ước tính phát thải FINNv1 đã được phát triển đặc biệt để mô hình hóa hóa học khí quyển và chất lượng không khí trong một khung thống nhất từ quy mô địa phương đến toàn cầu. Sản phẩm này độc đáo vì độ phân giải không gian và thời gian cao, phạm vi toàn cầu và số lượng các loài được ước tính. FINNv1 có thể được sử dụng cho cả các ứng dụng mô hình dự đoán và hồi cứu hoặc gần thời gian thực, và kết quả đang được đánh giá nghiêm túc với các mô hình và quan sát bất cứ khi nào có thể.\u003C\u002Fjats:p>","\u003Cjats:p>Abstract. The Fire INventory from NCAR version 1.0 (FINNv1) provides daily, 1 km resolution, global estimates of the trace gas and particle emissions from open burning of biomass, which includes wildfire, agricultural fires, and prescribed burning and does not include biofuel use and trash burning. Emission factors used in the calculations have been updated with recent data, particularly for the non-methane organic compounds (NMOC). The resulting global annual NMOC emission estimates are as much as a factor of 5 greater than some prior estimates. Chemical speciation profiles, necessary to allocate the total NMOC emission estimates to lumped species for use by chemical transport models, are provided for three widely used chemical mechanisms: SAPRC99, GEOS-CHEM, and MOZART-4. Using these profiles, FINNv1 also provides global estimates of key organic compounds, including formaldehyde and methanol. Uncertainties in the emissions estimates arise from several of the method steps. The use of fire hot spots, assumed area burned, land cover maps, biomass consumption estimates, and emission factors all introduce error into the model estimates. The uncertainty in the FINNv1 emission estimates are about a factor of two; but, the global estimates agree reasonably well with other global inventories of biomass burning emissions for CO, CO2, and other species with less variable emission factors. FINNv1 emission estimates have been developed specifically for modeling atmospheric chemistry and air quality in a consistent framework at scales from local to global. The product is unique because of the high temporal and spatial resolution, global coverage, and the number of species estimated. FINNv1 can be used for both hindcast and forecast or near-real time model applications and the results are being critically evaluated with models and observations whenever possible.\n                    \u003C\u002Fjats:p>",{"VI":3495,"EN":3496},"Kho dữ liệu Lửa từ NCAR (FINN): một mô hình toàn cầu có độ phân giải cao để ước lượng khí thải từ việc đốt mở","The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning",{"VOID":2034},[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F4\u002F625\u002F2011\u002F",[3502,3524,3549,3569,3588,3609,3624],{"id":3503,"sortIndex":114,"researcher":26,"roles":3504,"affiliations":3505,"properties":3517},"3f81d0f8-9d4a-4163-b303-72d6bc1eb922",[],[3506],{"id":3507,"sortIndex":36,"affiliation":3508,"properties":26},"c77aa9ad-4d2d-43c8-80bf-6e5701c3aecd",{"id":3509,"createTime":3510,"updateTime":3511,"relativeEntities":3512,"slug":3513,"properties":3514,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"a5405912-f91a-4ba8-9064-faed49f24097","2024-09-02T19:47:14.178+00:00","2024-10-14T06:35:40.164+00:00",[],"University-of-Montana-Department-of-Chemistry-Missoula-MT-USA",{"title":3515},{"EN":3516},"University of Montana, Department of Chemistry, Missoula, MT, USA",{"openalex":3518,"orcid":3520,"title":3522},{"VOID":3519},"A5035061794",{"VOID":3521},"https:\u002F\u002Forcid.org\u002F0000-0002-8415-6808",{"EN":3523},"R. 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E.: Trace gas and particle emissions from open biomass burning in Mexico, Atmos. Chem. Phys., 11, 6787–6808, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-11-6787-2011, 2011.",{"doi":3961},"10.5194\u002Facp-11-6787-2011",{"id":3963,"createTime":3964,"updateTime":3965,"relativeEntities":3966,"slug":3967,"properties":3968,"entityType":776,"verifyStatus":25,"verifyTime":3983,"verifyNote":778,"syncStatus":28,"languages":3984,"translateLanguages":3985,"viewCount":36,"primaryUrl":3986,"fullTextUrl":26,"authors":3987,"publicationType":934,"publisherRelationship":4369,"citationCount":4407,"citationInfo":4408,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":4416,"isForceReanalyzing":1163},"6f969ec6-9e39-4e58-ad40-59f29d06274d","2024-09-02T19:47:06.527+00:00","2025-02-03T01:04:57.138+00:00",[],"Historical-1750-2014-anthropogenic-emissions-of-reactive-gases-and-aerosols-from-the-Community-Emissions-Data-System-CEDS-",{"mag":3969,"keywords":3971,"openalex":3973,"abstract":3975,"title":3978,"doi":3981},{"VOID":3970},"2600399632",{"VI":3972},"khí phản ứng hóa học, hạt carbon, phát thải nhân tạo, Hệ thống Dữ liệu Phát thải Cộng đồng (CEDS), dữ liệu lịch sử, ước tính phát thải",{"VOID":3974},"W2600399632",{"VI":3976,"EN":3977},"\u003Cjats:p>Tóm tắt. Chúng tôi giới thiệu một tập dữ liệu mới về các khí phản ứng hóa học nhân tạo hàng năm (1750–2014) (CO, CH4, NH3, NOx, SO2, NMVOCs), hạt carbon (carbon đen - BC, và carbon hữu cơ - OC), và CO2 được phát triển với Hệ thống Dữ liệu Phát thải Cộng đồng (CEDS). Chúng tôi cải thiện các bảng kê hiện có với một phương pháp luận nhất quán và có thể tái lập hơn, áp dụng cho tất cả các loại phát thải, những yếu tố phát thải được cập nhật, và các ước tính gần đây đến năm 2014. Hệ thống dữ liệu dựa trên các tập dữ liệu tiêu thụ năng lượng hiện có, cùng với các bảng kê theo vùng và quốc gia để tạo ra xu hướng trong những thập kỷ gần đây. Tất cả các loại phát thải được ước tính một cách nhất quán bằng cách sử dụng cùng một dữ liệu hoạt động trong tất cả các giai đoạn thời gian. Các số liệu phát thải được cung cấp hàng năm ở cấp độ quốc gia và ngành công nghiệp và được phân chia theo tháng trong năm. Những ước tính này có thể so sánh với, nhưng thường thì hơi cao hơn một chút so với, các bảng kê toàn cầu hiện có. Các số liệu phát thải trong những năm gần đây có độ không chắc chắn cao hơn, đặc biệt ở các khu vực thu nhập thấp và trung bình, nơi mà các bảng kê phát thải theo quốc gia ít được cung cấp hơn. Công việc trong tương lai sẽ bao gồm việc tinh chỉnh và cập nhật những ước tính phát thải này, ước tính độ không chắc chắn trong phát thải, và xuất bản hệ thống dưới dạng phần mềm mã nguồn mở.\u003C\u002Fjats:p>","\u003Cjats:p>Abstract. We present a new data set of annual historical (1750–2014) anthropogenic chemically reactive gases (CO, CH4, NH3, NOx, SO2, NMVOCs), carbonaceous aerosols (black carbon – BC, and organic carbon – OC), and CO2 developed with the Community Emissions Data System (CEDS). We improve upon existing inventories with a more consistent and reproducible methodology applied to all emission species, updated emission factors, and recent estimates through 2014. The data system relies on existing energy consumption data sets and regional and country-specific inventories to produce trends over recent decades. All emission species are consistently estimated using the same activity data over all time periods. Emissions are provided on an annual basis at the level of country and sector and gridded with monthly seasonality. These estimates are comparable to, but generally slightly higher than, existing global inventories. Emissions over the most recent years are more uncertain, particularly in low- and middle-income regions where country-specific emission inventories are less available. Future work will involve refining and updating these emission estimates, estimating emissions' uncertainty, and publication of the system as open-source software.\n                    \u003C\u002Fjats:p>",{"VI":3979,"EN":3980},"Nghiên cứu phát thải khí và aerosol phản ứng nhân tạo từ Hệ thống Dữ liệu Phát thải Cộng đồng (CEDS) giai đoạn lịch sử (1750–2014)","Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS)",{"VOID":3982},"10.5194\u002Fgmd-11-369-2018","2024-09-02T19:47:06.526+00:00",[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F11\u002F369\u002F2018\u002F",[3988,4009,4031,4050,4067,4084,4101,4118,4137,4159,4174,4195,4210,4229,4257,4274,4291,4308,4330,4352],{"id":3989,"sortIndex":51,"researcher":26,"roles":3990,"affiliations":3991,"properties":4002},"7ffa6b8f-2f51-441c-89aa-d7dd4bc52c64",[],[3992],{"id":3993,"sortIndex":36,"affiliation":3994,"properties":26},"2c216c0c-2158-4753-a88d-1a0b258d265a",{"id":3995,"createTime":3996,"updateTime":3996,"relativeEntities":3997,"slug":3998,"properties":3999,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"e77d3661-87ff-4135-8bde-9addc2c44e58","2024-09-02T19:47:06.715+00:00",[],"Dept-of-Civil-Environmental-Engineering-University-of-Illinois-at-Urbana-Champaign-Urbana-IL-USA",{"title":4000},{"EN":4001},"Dept. of Civil & Environmental Engineering, University of Illinois\nat Urbana-Champaign, Urbana, IL, USA",{"openalex":4003,"orcid":4005,"title":4007},{"VOID":4004},"A5100322348",{"VOID":4006},"https:\u002F\u002Forcid.org\u002F0000-0002-0978-5647",{"EN":4008},"Liang Liu",{"id":4010,"sortIndex":50,"researcher":26,"roles":4011,"affiliations":4012,"properties":4024},"b9dc9051-3de6-4f4a-b6d5-6373dfc88350",[],[4013],{"id":4014,"sortIndex":36,"affiliation":4015,"properties":26},"e6672aec-5fd8-41c5-96f8-fdb01c4acdef",{"id":4016,"createTime":4017,"updateTime":4018,"relativeEntities":4019,"slug":4020,"properties":4021,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"97cff88b-e3e4-472d-96cc-c34fc1352d4a","2024-09-02T19:47:06.693+00:00","2024-10-03T15:41:31.091+00:00",[],"Carbon-Dioxide-Information-Analysis-Center-Oak-Ridge-National-Laboratory-Oak-Ridge-TN-USA",{"title":4022},{"EN":4023},"Carbon Dioxide Information Analysis Center, Oak Ridge\nNational Laboratory, Oak Ridge, TN, USA",{"openalex":4025,"orcid":4027,"title":4029},{"VOID":4026},"A5088310894",{"VOID":4028},"https:\u002F\u002Forcid.org\u002F0000-0001-8781-4979",{"EN":4030},"R. 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P.: The effects of recent control policies on trends in emissions of anthropogenic atmospheric pollutants and CO2 in China, Atmos. Chem. Phys., 13, 487–508, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-13-487-2013, 2013b.",{"doi":4894},"10.5194\u002Facp-13-487-2013",{"id":26,"text":4896,"url":26,"identifiers":4897},"Zhou, Y., Li, J., Chang, C.-C., Wei, S., Ni, Y., and Zhang, Y.: Status and development for municipal wastewater reuse in China, IEEE, 3183–3186, 2011.",{},{"id":4899,"createTime":4900,"updateTime":4901,"relativeEntities":4902,"slug":4903,"properties":4904,"entityType":776,"verifyStatus":25,"verifyTime":4900,"verifyNote":778,"syncStatus":28,"languages":4918,"translateLanguages":4919,"viewCount":36,"primaryUrl":4920,"fullTextUrl":26,"authors":4921,"publicationType":934,"publisherRelationship":5227,"citationCount":5263,"citationInfo":5264,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":5267,"isForceReanalyzing":1163},"98d11343-f064-4c16-ae8f-7233de64442a","2024-10-02T04:13:08.001+00:00","2025-02-03T01:05:53.270+00:00",[],"MIROC-ESM-2010-model-description-and-basic-results-of-CMIP5-20c3m-experiments",{"mag":4905,"keywords":4907,"openalex":4908,"abstract":4910,"title":4913,"doi":4916},{"VOID":4906},"2066305270",{"VI":765},{"VOID":4909},"W2066305270",{"VI":4911,"EN":4912},"\u003Cjats:p>Tóm tắt. Một mô hình hệ thống trái đất (MIROC-ESM 2010) được mô tả đầy đủ về từng thành phần mô hình và các tương tác của chúng. Kết quả cho mô phỏng lịch sử CMIP5 (Dự án so sánh mô hình tích hợp pha 5) được trình bày nhằm thể hiện hiệu suất của mô hình từ nhiều góc độ: khí quyển, đại dương, băng biển, bề mặt đất, hóa sinh đại dương và đất, cũng như hóa học khí quyển và các hạt aerosol. Phiên bản MIROC-ESM kết hợp hóa học khí quyển (MIROC-ESM-CHEM 2010) tái tạo khá chính xác các biến động tạm thời trong nhiệt độ không khí bề mặt cho giai đoạn 1850–2005, cũng như khí hậu hiện tại cho gió và nhiệt độ trung bình theo vùng từ bề mặt đến tầng bình lưu. Sự tiến hóa lịch sử và phân bố toàn cầu của tầng ozone và lượng aerosol trong tầng đối lưu được mô hình giả lập khá hợp lý dựa trên các phát thải lịch sử của các precursor trong các Đường dẫn nồng độ đại diện (RCP). Phân bố các tham số hóa sinh đất và biển được mô phỏng phù hợp với các quan sát gần đây, điều này khuyến khích việc sử dụng mô hình để dự đoán các biến đổi toàn cầu trong tương lai.\u003C\u002Fjats:p>","\u003Cjats:p>Abstract. An earth system model (MIROC-ESM 2010) is fully described in terms of each model component and their interactions. Results for the CMIP5 (Coupled Model Intercomparison Project phase 5) historical simulation are presented to demonstrate the model's performance from several perspectives: atmosphere, ocean, sea-ice, land-surface, ocean and terrestrial biogeochemistry, and atmospheric chemistry and aerosols. An atmospheric chemistry coupled version of MIROC-ESM (MIROC-ESM-CHEM 2010) reasonably reproduces transient variations in surface air temperatures for the period 1850–2005, as well as the present-day climatology for the zonal-mean zonal winds and temperatures from the surface to the mesosphere. The historical evolution and global distribution of column ozone and the amount of tropospheric aerosols are reasonably simulated in the model based on the Representative Concentration Pathways' (RCP) historical emissions of these precursors. 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Environ., 95, 164–176, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rse.2004.12.011, 2005.",{"doi":5706},"10.1016\u002Fj.rse.2004.12.011",{"id":5708,"createTime":5709,"updateTime":5710,"relativeEntities":5711,"slug":5712,"properties":5713,"entityType":776,"verifyStatus":25,"verifyTime":5709,"verifyNote":778,"syncStatus":28,"languages":5727,"translateLanguages":5728,"viewCount":36,"primaryUrl":5729,"fullTextUrl":26,"authors":5730,"publicationType":934,"publisherRelationship":6006,"citationCount":6042,"citationInfo":6043,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":6048,"isForceReanalyzing":1163},"51318003-5ca8-4aa0-8fd2-18cf5a26a458","2024-10-09T18:50:29.609+00:00","2025-01-08T16:59:18.614+00:00",[],"The-Joint-UK-Land-Environment-Simulator-JULES-model-description-Part-2-Carbon-fluxes-and-vegetation-dynamics",{"mag":5714,"keywords":5716,"openalex":5717,"abstract":5719,"title":5722,"doi":5725},{"VOID":5715},"2097896815",{"VI":765},{"VOID":5718},"W2097896815",{"VI":5720,"EN":5721},"\u003Cjats:p>Tóm tắt. Mô hình Mô phỏng Môi trường Đất Liên hợp Vương quốc Anh (JULES) là một mô hình dựa trên quy trình mô phỏng các dòng chảy carbon, nước, năng lượng và động lượng giữa bề mặt đất và bầu khí quyển. Nhiều nghiên cứu đã chứng minh vai trò quan trọng của bề mặt đất trong chức năng của Hệ thống Trái Đất. Các phiên bản khác nhau của JULES đã được sử dụng để định lượng các tác động của biến đổi khí hậu, nồng độ carbon dioxide trong khí quyển tăng, sự thay đổi của các hạt khí quyển và ozone tầng đối lưu, cũng như phản ứng của các phát thải methane từ đất ngập nước trước biến đổi khí hậu đối với bể chứa carbon trên đất. Bài báo này mô tả sự củng cố các tiến bộ trong mô hình hóa các dòng chảy và kho carbon, cả trong thực vật và đất, trong phiên bản 2.2 của JULES. Các tính năng bao gồm một sơ đồ vòm đa tầng cho việc hấp thụ ánh sáng, bao gồm một sơ đồ thâm nhập ánh sáng mặt trời, một sơ đồ liên kết giữa quá trình quang hợp lá và độ dẫn khí của khí khổng, biểu diễn các tác động của ozone lên sinh lý học lá, và mô tả các phát thải methane từ đất ngập nước. JULES thể hiện việc phân bổ carbon, tăng trưởng và động lực học quần thể của năm loại chức năng thực vật. Quá trình trao đổi carbon từ các mô thực vật sống được đưa vào một mô hình carbon đất 4 bể. Những mô tả dựa trên quy trình của các quá trình sinh thái chính và các dòng khí vi trace trong JULES có nghĩa là mô hình cộng đồng này rất phù hợp để sử dụng trong chu trình carbon, biến đổi khí hậu và các nghiên cứu tác động, hoặc ở chế độ độc lập, hoặc như một thành phần đất của một mô hình hệ thống trái đất liên kết.","\u003Cjats:p>Abstract. The Joint UK Land Environment Simulator (JULES) is a process-based model that simulates the fluxes of carbon, water, energy and momentum between the land surface and the atmosphere. Many studies have demonstrated the important role of the land surface in the functioning of the Earth System. Different versions of JULES have been employed to quantify the effects on the land carbon sink of climate change, increasing atmospheric carbon dioxide concentrations, changing atmospheric aerosols and tropospheric ozone, and the response of methane emissions from wetlands to climate change.  This paper describes the consolidation of these advances in the modelling of carbon fluxes and stores, in both the vegetation and soil, in version 2.2 of JULES. Features include a multi-layer canopy scheme for light interception, including a sunfleck penetration scheme, a coupled scheme of leaf photosynthesis and stomatal conductance, representation of the effects of ozone on leaf physiology, and a description of methane emissions from wetlands. JULES represents the carbon allocation, growth and population dynamics of five plant functional types. The turnover of carbon from living plant tissues is fed into a 4-pool soil carbon model.  The process-based descriptions of key ecological processes and trace gas fluxes in JULES mean that this community model is well-suited for use in carbon cycle, climate change and impacts studies, either in standalone mode or as the land component of a coupled Earth system model.\n                    \u003C\u002Fjats:p>",{"VI":5723,"EN":5724},"Mô hình Mô phỏng Môi trường Đất Liên hợp Vương quốc Anh (JULES), mô tả mô hình - Phần 2: Flux carbon và động lực học thực vật","The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics",{"VOID":5726},"10.5194\u002Fgmd-4-701-2011",[102],[101],"https:\u002F\u002Fgmd.copernicus.org\u002Farticles\u002F4\u002F701\u002F2011\u002F",[5731,5752,5774,5791,5813,5835,5850,5872,5899,5916,5938,5955,5972,5989],{"id":5732,"sortIndex":135,"researcher":26,"roles":5733,"affiliations":5734,"properties":5745},"6957775b-78ca-4fb3-b973-14e29f342b84",[],[5735],{"id":5736,"sortIndex":36,"affiliation":5737,"properties":26},"bf2ef090-e460-4b85-84cf-fe624de1eac5",{"id":5738,"createTime":5739,"updateTime":5739,"relativeEntities":5740,"slug":5741,"properties":5742,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"c33f4f17-3e20-417b-9c43-64dcba0bc4a8","2024-10-09T18:50:29.695+00:00",[],"Met-Office-Joint-Centre-for-Hydro-Meteorological-Research-Wallingford-OX10-8BB-UK",{"title":5743},{"EN":5744},"Met Office, Joint Centre for Hydro-Meteorological Research, Wallingford OX10 8BB, UK",{"openalex":5746,"orcid":5748,"title":5750},{"VOID":5747},"A5025729046",{"VOID":5749},"https:\u002F\u002Forcid.org\u002F0000-0002-6129-5477",{"EN":5751},"Milton Pryor",{"id":5753,"sortIndex":50,"researcher":26,"roles":5754,"affiliations":5755,"properties":5767},"4c694e33-a6ae-423c-8ab3-f80ce86aae89",[],[5756],{"id":5757,"sortIndex":36,"affiliation":5758,"properties":26},"faa86325-be85-4fad-8beb-ed7e888bbd9f",{"id":5759,"createTime":5760,"updateTime":5761,"relativeEntities":5762,"slug":5763,"properties":5764,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"84a37757-f0b7-4b4b-91fa-0371cdd85acb","2024-01-10T00:02:15.370+00:00","2024-10-09T18:50:29.742+00:00",[],"School-of-GeoSciences-University-of-Edinburgh-EH9-3JW-Edinburgh-UK",{"title":5765},{"VI":5766},"School of GeoSciences, University of Edinburgh, EH9 3JW Edinburgh, UK",{"openalex":5768,"orcid":5770,"title":5772},{"VOID":5769},"A5003718432",{"VOID":5771},"https:\u002F\u002Forcid.org\u002F0000-0003-1756-9095",{"EN":5773},"Richard Essery",{"id":5775,"sortIndex":111,"researcher":26,"roles":5776,"affiliations":5777,"properties":5784},"c1754a75-811d-4e8c-a2a9-d27e9e69cda0",[],[5778],{"id":5779,"sortIndex":36,"affiliation":5780,"properties":26},"903708a4-0768-43f6-9825-edad2610e1cf",{"id":5738,"createTime":5739,"updateTime":5739,"relativeEntities":5781,"slug":5741,"properties":5782,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":5783},{"EN":5744},{"openalex":5785,"orcid":5787,"title":5789},{"VOID":5786},"A5054845721",{"VOID":5788},"https:\u002F\u002Forcid.org\u002F0000-0002-2165-5239",{"EN":5790},"Nicola Gedney",{"id":5792,"sortIndex":158,"researcher":26,"roles":5793,"affiliations":5794,"properties":5806},"e2769d1d-f75f-48cf-8567-962d1f8e6e45",[],[5795],{"id":5796,"sortIndex":36,"affiliation":5797,"properties":26},"992b1af8-bad3-4668-8017-14244be5545f",{"id":5798,"createTime":5799,"updateTime":5800,"relativeEntities":5801,"slug":5802,"properties":5803,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"6ed257e4-c687-4ec6-81e2-dad9b728564a","2024-01-19T02:06:21.387+00:00","2024-10-12T21:13:40.508+00:00",[],"Met-Office-Hadley-Centre-Exeter-EX1-3PB-UK",{"title":5804},{"VI":5805},"Met Office Hadley Centre, Exeter EX1 3PB, UK",{"openalex":5807,"orcid":5809,"title":5811},{"VOID":5808},"A5066565453",{"VOID":5810},"https:\u002F\u002Forcid.org\u002F0000-0002-3787-1198",{"EN":5812},"G. 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U., Flynn, H., Killham, K., Rangel-Castro, I., Foereid, B., Aitkenhead, M., Chapman, S., Towers, W., Bell, J., Lumsdon, D., Milne, R., Thomson, A., Simmons, I., Skiba, U., Reynolds, B., Evans, C., Frogbrook, Z., Bradley, I., Whitmore, A., and Falloon, P.: ECOSSE: Estimating Carbon in Organic Soils – Sequestration and Emissions, Final Report., Tech. rep., SEERAD, http:\u002F\u002Fwww.scotland.gov.uk\u002FPublications\u002F2007\u002F03\u002F16170508\u002F16, (last access: 21 February 2011), 2007.",{},{"id":26,"text":6326,"url":26,"identifiers":6327},"Sokolov, A., Kicklighter, D., Melillo, J., Felzer, B., Schlosser, C., and Cronin, T.: Consequences of considering carbonnitrogen interactions on the feedbacks between climate and the terrestrial carbon cycle, J. Climate, 21, 3776–3796, https:\u002F\u002Fdoi.org\u002F10.1175\u002F2008JCLI2038.1, 2008.",{"doi":6328},"10.1175\u002F2008JCLI2038.1",{"id":26,"text":6330,"url":26,"identifiers":6331},"Stephens, B. B., Gurney, K. R., Tans, P. P., Sweeney, C., Peters, W., Bruhwiler, L., Ciais, P., Ramonet, M., Bousquet, P., Nakazawa, T., Aoki, S., Machida, T., Inoue, G., Vinnichenko, N., Lloyd, J., Jordan, A., Heimann, M., Shibistova, O., Langenfelds, R. L., Steele, L. P., Francey, R. J., and Denning, A. S.: Weak northern and strong tropical land carbon uptake from vertical profiles of atmospheric CO2, Science, 316, 1732–1735, https:\u002F\u002Fdoi.org\u002F10.1126\u002Fscience.1137004, 2007.",{"doi":6332},"10.1126\u002Fscience.1137004",{"id":26,"text":6334,"url":26,"identifiers":6335},"Thonicke, K., Spessa, A., Prentice, I. C., Harrison, S. P., Dong, L., and Carmona-Moreno, C.: The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model, Biogeosciences, 7, 1991–2011, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fbg-7-1991-2010, 2010.",{"doi":6336},"10.5194\u002Fbg-7-1991-2010",{"id":26,"text":6338,"url":26,"identifiers":6339},"Thornton, P. E., Lamarque, J. F., Rosenbloom, N., and Mahowald, N.: Influence of carbon-nitrogen cycle coupling on land model response to CO2 fertilization and climate variability, Global Biogeochem. Cy., 21, GB4018, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2006GB002868, 2007.",{"doi":6340},"10.1029\u002F2006GB002868",{"id":6342,"createTime":6343,"updateTime":6343,"relativeEntities":6344,"slug":6345,"properties":6346,"entityType":776,"verifyStatus":25,"verifyTime":6358,"verifyNote":778,"syncStatus":28,"languages":6359,"translateLanguages":26,"viewCount":36,"primaryUrl":6360,"fullTextUrl":26,"authors":6361,"publicationType":934,"publisherRelationship":6758,"citationCount":620,"citationInfo":6795,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":6800,"isForceReanalyzing":1163},"8c4d6e41-1088-4757-8989-148816287f6b","2025-02-10T16:42:21.956+00:00",[],"The-Canadian-Earth-System-Model-version-5-CanESM5-0-3-",{"mag":6347,"keywords":6349,"openalex":6350,"abstract":6352,"title":6354,"doi":6356},{"VOID":6348},"2962764966",{},{"VOID":6351},"W2962764966",{"EN":6353},"\u003Cjats:p>Abstract. The Canadian Earth System Model version 5 (CanESM5) is a global\nmodel developed to simulate historical climate change and variability, to\nmake centennial-scale projections of future climate, and to produce\ninitialized seasonal and decadal predictions. This paper describes the model\ncomponents and their coupling, as well as various aspects of model\ndevelopment, including tuning, optimization, and a reproducibility strategy.\nWe also document the stability of the model using a long control simulation,\nquantify the model's ability to reproduce large-scale features of the\nhistorical climate, and evaluate the response of the model to external\nforcing. CanESM5 is comprised of three-dimensional atmosphere (T63 spectral\nresolution equivalent roughly to 2.8∘) and ocean (nominally 1∘) general\ncirculation models, a sea-ice model, a land surface scheme, and explicit\nland and ocean carbon cycle models. The model features relatively coarse\nresolution and high throughput, which facilitates the production of large\nensembles. CanESM5 has a notably higher equilibrium climate sensitivity\n(5.6 K) than its predecessor, CanESM2 (3.7 K), which we briefly discuss, along\nwith simulated changes over the historical period. 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Change Biol.,\n11, 39–59, 2005.",{"doi":6823},"10.1111\u002Fj.1365-2486.2004.00890.x",{"id":26,"text":6825,"url":26,"identifiers":6826},"Arora, V. K. and Boer, G. J.: Uncertainties in the 20th century carbon budget\nassociated with land use change, Glob. Change Biol., 16, 3327–3348,\n2010.",{"doi":6827},"10.1111\u002Fj.1365-2486.2010.02202.x",{"id":26,"text":6829,"url":26,"identifiers":6830},"Arora, V. K. and Scinocca, J. F.: Constraining the strength of the terrestrial CO2 fertilization effect in the Canadian Earth system model version 4.2 (CanESM4.2), Geosci. Model Dev., 9, 2357–2376, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fgmd-9-2357-2016, 2016.",{"doi":6831},"10.5194\u002Fgmd-9-2357-2016",{"id":26,"text":6833,"url":26,"identifiers":6834},"Arora, V. K., Boer, G. J., Christian, J. R., Curry, C. L., Denman, K. L.,\nZahariev, K., Flato, G. M., Scinocca, J. F., Merryfield, W. 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