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Journal of Medicine and Pharmacy","Tạp chí Y Dược học Cần Thơ",{"EN":487,"VI":488},"\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">04\u002F10\u002F2015 Ministry of Information and Communications allowed Can Tho journal of medicine and pharmacy to operate (102 \u002FGP-BTTTT)\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">07\u002F16\u002F2015 Can Tho journal of medicine and pharmacy is internationally recognized: ISSN 2354-1210\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">In 2016, The journal has been included in the list of medical science journals by The State Council for professorship which is awarded a work score of 0-0.5 points for a published article.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Can Tho Journal of Medicine and Pharmacy welcome original works that haven’t been submitted or published in other medical journals. Posts must contain content related to one of the journal’s categories.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The content published\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The journal is divided into 3 categories:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Scientific research article: are valuable scientific works, which have been researched and accepted.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Overview of medicine, biology and pharmacy: serving the objective of continuing training in the fields of medicine, biology and pharmacy; to systematize classical and modern knowledge.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Update information on new knowledge about medicine, biology, pharmacy in the country and in the world.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Scope\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Publication and introduction of scientific research in the fields:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Medicine (internal medicine, surgery, pediatrics, obstetrics and gynecology, odonto-stomatology, laboratory, oncology, traditional medicine, nursing).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Biology (genetics, biotechnology).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">+ Pharmacology (pharmaceutics, drug quality analysis-control, synthetic pharmaceutical chemistry, biochemistry, pharmacognosy, botany, clinical pharmacy).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- To enhance the quality of undergraduate, postgraduate education, scientifically researching and meet the necessary treatment in hospital.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Introducing the updated domestic and oversea information about science technology to promote scientific research and exchanging technology in local, other universities.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">- Exchanging pharmaceutical and medical information for social health developing in the Mekong Delta and Vietnam.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">The object\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Postgraduate students, student of Can Tho University of Medicine and Pharmacy, scientists from schools, research institutes, hospitals, health centers, pharmaceutical companies of the Mekong Delta; 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. Danh sách bài báo theo số Tạp chí được in ấn và phát hành trong năm định kỳ được công bố chính thức trên website: https:\u002F\u002Ftapchi.ctump.edu.vn\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>",{"VOID":490},"wcQ1uqwAAAAJ","2023-05-30T08:17:21.868+00:00",[],[494],{"id":495,"createTime":28,"updateTime":28,"relativeEntities":496,"slug":28,"properties":497,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":507,"parentIds":508,"statistic":28},"6413896b-eca9-442b-a73f-182a58a0ce40",[],{"title":498,"address":501,"country":504,"abbreviation":505},{"EN":499,"VI":500},"Can Tho University of Medicine and Pharmacy","Trường Đại học Y Dược Cần Thơ",{"EN":502,"VI":503},"No 179, Nguyen Van Cu street, An Khanh ward, Ninh Kieu district, Can Tho city, Vietnam","Số 179, đường Nguyễn Văn Cừ, phường An Khánh, quận Ninh Kiều, thành phố Cần Thơ, Việt Nam",{"VOID":15},{"VOID":506},"ctump","http:\u002F\u002Fwww.ctump.edu.vn\u002F",[],[],"https:\u002F\u002Ftapchi.ctump.edu.vn\u002Findex.php\u002Fctump",{"impactFactor":32,"impactFactorByYear":512,"i10Index":32,"i10IndexLast5Year":32,"totalPublication":514,"totalPublicationByYear":515,"totalCitation":520,"totalCitationByYear":521,"totalCitationPerPublication":108,"totalCitationPerPublicationByYear":523,"hindexLast5Year":45,"hindex":45},{"2022":513,"2023":111,"2024":106},0.01,1556,{"2020":47,"2021":516,"2022":517,"2023":518,"2024":519,"2025":122},57,306,801,358,161,{"2021":146,"2022":280,"2023":522},99,{"2021":524,"2022":318,"2023":104},0.23,{"impactFactor":28,"impactFactorByYear":28,"i10Index":123,"i10IndexLast5Year":123,"totalPublication":526,"totalPublicationByYear":527,"totalCitation":526,"totalCitationByYear":528,"totalCitationPerPublication":40,"totalCitationPerPublicationByYear":531,"hindexLast5Year":49,"hindex":49},476,{"0":205,"2019":123,"2021":139,"2022":459,"2023":451,"2024":357,"2025":49,"2026":48},{"2021":42,"2022":123,"2023":161,"2024":529,"2025":360,"2026":530},136,83,{"2021":105,"2022":513,"2023":532,"2024":127,"2025":533,"2026":534},0.62,25.43,13.83,{"id":536,"createTime":537,"updateTime":382,"relativeEntities":538,"slug":539,"properties":540,"entityType":25,"verifyStatus":26,"verifyTime":28,"verifyNote":28,"languages":552,"translateLanguages":28,"viewCount":133,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":556,"thumbnailPath":557,"statistic":558,"gsStatistic":594,"type":55,"analyzePriority":28},"6984a56a-db70-403b-9cc4-4013e1ceaffa","2023-05-09T06:47:40.346+00:00",[],"T%E1%BA%A1p%20ch%C3%AD%20Nghi%C3%AAn%20c%E1%BB%A9u%20n%C6%B0%E1%BB%9Bc%20ngo%C3%A0i",{"country":541,"issn":542,"title":544,"introduce":547,"gsId":550},{"VOID":15},{"VOID":543},"25252445",{"EN":545,"VI":546},"VNU Journal of Foreign Studies","Tạp chí Nghiên cứu nước ngoài",{"EN":548,"VI":549},"{\"ops\":[{\"insert\":\"\\n\\nThe \\n\"},{\"attributes\":{\"italic\":true},\"insert\":\"VNU Journal of Science\"},{\"insert\":\"\\n was established in 1985 for the publication of national and international research papers in all fields of natural sciences and technology, social sciences and humanities. 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When an intense hurricane is present, the regional circulation is dominated by upper easterly flow over the Caribbean and central Atlantic and a surge of low-level westerly anomalies across the tropics. Warm SST anomalies extend along the coast of Venezuela, doubling the convective energy available to Caribbean hurricanes. Intensifying hurricanes tend to propagate westward with an atmospheric ridge over the Gulf Stream, in an environment with aerosol optical depth \u003C0.6. Hurricanes form and strengthen in the east-shear phase of the Madden Julian Oscillation. Sinking motions and dry air appear in an anti-cyclonic gyre behind intensifying hurricanes. Numerical model 48-h forecasts of Caribbean hurricane tracks are analyzed over the period 2000–2010. A “slow right” bias is found east of Puerto Rico in comparison with observed.",{"EN":1033},"Caribbean hurricanes: changes of intensity and track prediction",{"VOID":1035},"Aberson SD (2001) The ensemble of tropical cyclone track forecasting models in the North Atlantic basin (1976–2000). Bull Amer Meteor Soc 82:1895–1904\nAiyyer AR, Thorncroft C (2006) Climatology of vertical wind shear over the tropical Atlantic. J Climate 19:2969–2983\nBender MA (1997) The effect of relative flow on the asymmetric structure of the interior of hurricanes. J Atmos Sci 54:703–724\nBlack ML, Willoughby HE (1992) The concentric eyewall cycle of Hurricane Gilbert. Mon Weather Rev 120:947–957\nBraun SA (2002) A cloud-resolving simulation of Hurricane Bob (1991): Storm structure and eyewall buoyancy. Mon Weather Rev 130:1573–1592\nBriegel LM, Frank WM (1997) Large-scale influences on tropical cyclogenesis in the Western North Pacific. Mon Weather Rev 125:1397–1413\nChan JCL, Williams RT (1987) Analytical and Numerical Studies of the Beta-Effect in Tropical Cyclone Motion. Part I: Zero Mean Flow. J Atmos Sci 44:1257–1265\nDeMaria M, Lawrence MB, Kroll JT (1989) An error analysis of Atlantic tropical cyclone track guidance models. Weather Forecast 5:47–61\nDeMaria M, Mainelli M, Shay LK, Knaff JA, Kaplan J (2005) Further Improvements to the Statistical Hurricane Intensity Prediction Scheme (SHIPS). Wea Forecasting 20:531–543\nElsberry RL (1995) Recent advancements in dynamical tropical cyclone track predictions. Meteor Atmos Phys 56:81–99\nElsner JB, Kara AB, Owens MA (1999) Fluctuations in north Atlantic hurricane frequency. J Climate 12:427–437\nElsner JB, Jagger TH, Niu X (2000) Shifts in the rates of major hurricane activity over the North Atlantic during the 20th century. Geophys Res Lett 27:1743–1746\nElsner JB, Tsonis AA, Jagger TH (2006) High-frequency variability in hurricane power dissipation and its relationship to global temperature. Bull Amer Met Soc 87:763–768\nEmanuel KA (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436:686–688\nFerreira RN, Schubert WH, Hack JJ (1996) Dynamical aspects of twin tropical cyclones associated with the Madden-Julian Oscillation. J Atmos Sci 53:929–945\nFiorino M, Elsberry RL (1989) Some Aspects of Vortex Structure Related to Tropical Cyclone Motion. J Atmos Sci 46:975–990\nFrank WM, Ritchie EA (2001) Effects of Vertical Wind Shear on Hurricane Intensity and Structure. Mon Weather Rev 129:2249–2269\nFranklin JL, McAdie CJ, Lawrence MB (2003) Trends in Track Forecasting for Tropical Cyclones Threatening the United States, 1970–2001. Bull Amer Meteor Soc 84:1197–1203\nGoerss JS (2000) Tropical cyclone track forecasts using an ensemble of dynamical models. 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J Geophys Res 112:D16107. doi:10.1029\u002F2006JD007541\nKimball SK, Mulekar MS (2004) A 15-Year Climatology of North Atlantic Tropical Cyclones. Part I: Size Parameters. J Climate 17:3555–3575\nKnaff JA, Kossin JP, DeMaria M (2003) Annular Hurricanes. Weather Forecasting 18:204–223\nKruizinga S, Murphy AH (1983) Use of an analog procedure to formulate objective temperature forecasts in Netherlands. Mon Weather Rev 111:2244–2254\nLandsea CW (1993) A Climatology of Intense Atlantic Hurricanes. Mon Weather Rev 121:1703–1713\nLandsea CW et al (2004) The Atlantic (hurricane) database re-analysis project: documentation for the 1851–1910 alterations and additions to HURDAT. In: Murnane RJ, Liu K-B (eds) Hurricanes and Typhoons: Past, Present and Future. University Press, Columbia, p 464\nMaloney ED, Hartman DL (2000) Modulation of hurricane activity in the Gulf of Mexico by the Madden-Julian oscillation. 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J Appl Met Clim 46:1053–1066\nSampson CR, Schrader AJ (2000) The Automated Tropical Cyclone Forecast system (v3.2). Bull Amer Meteor Soc 81:1231–1240\nTuleya RE, Kurihara Y (1981) A numerical study on the effects of environmental flow on tropical cyclone genesis. Mon Weather Rev 109:2487–2506\nVan den Dool HM (1994) Searching for analogues, how long must one wait? Tellus 46A:314–324\nVislocky RL, Young GS (1989) The use of perfect prog forecasts to improve model output statistical forecasts of precipitation. Wea Forecasting 4:202–209\nWebster PJ, Holland GJ, Curry JA, Chang H-R (2005) Changes in tropical cyclone number, duration, and intensity in a warming environment. Science 309:1844–1846\nWong MLM, Chan JCL (2004) Tropical Cyclone Intensity in Vertical Wind Shear. 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evapotranspiration,PE, is calculated for West Africa using a modified form of Penman's evaporation formula. The modification is obtained by substituting the theoretically calculated net radiation, using ordinary meteorological parameters such as temperature, cloudiness and sunshine for his net radiation formula. Maps showing the distribution ofPE for January and July have been drawn. The difference between rainfallP and potential evapotranspirationPE is used to delimit areas of water surplus and\u002For water deficit for four months. The vegetational zones of West Africa have been delimited by using theP-PE index. A linear relationship was also found between the aerodynamic component and measured values of evaporation from the Piché evaporimeter. The distribution ofPE shows an increase from the coast toward inland areas in zonal pattern. The water surplus-water deficit is found to be a function of the movement of the Intertropical Convergence Zone (ITC). The forest-savanna boundary is delimited byP−PE=0 and the savanna-desert boundary byP−PE=−3000 mm.",{"EN":1156},"Potential evapotranspiration and the water balance in West Africa",{"EN":1158},"",{"VOID":1160},"Chang, Jen-Hu: An Evaluation of the 1948 Thornthwaite Classification. A. A. A. G.49, 24–30 (1959).\nChang, Jen-Hu: On the Study of Evapotranspiration and Water Balance. Erdkunde19, 141–150 (1960).\nChapas, L. C., andA. R. Rees: Evaporation and Evapotranspiration in Southern Nigeria. Quart. J. Roy. Met. Soc.90, 313–319 (1964).\nChurch Harrison, R. J.: West Africa: A Study of the Environment and of Man's Use of It. London, 1957.\nDavies, J. A.: Evaporation and Potential Evapotranspiration at Ibadan. Nig. Geog. Journ.8, 17–31 (1965).\nDavies, J. A.: Estimation of Insolation for West Africa. Quart. J. Roy. Met. Soc.91, 359–363 (1965).\nDavies, J. A.: The Assessment of Evapotranspiration for Nigeria. Geografiska Annaler48, 3 (1966).\nDavies, J. A.: A Note on the Relationship Between Net Radiation and Solar Radiation. Quart. J. Roy. Met. Soc.93, 395, 109–115 (1967).\nDeacon, E. L., C. H. B. Priestley, andW. C. Swinbank: Evaporation and the Water Balance. In: Climatology, UNESCO (1958).\nFitzpatrick, E. A., andW. R. Stern: Estimates of Potential Evaporation Using Alternative Data in Penman's Formula. Agric. Met.3, 225–239 (1966).\nGarnier, B. J.: A Method of Computing Potential Evapotranspiration. Bull. de l'IFAN18, 665–676 (1956).\nGarnier, B. J.: Maps of Water Balance of West Africa. Bull. de l'IFAN22, 709–722 (1961).\nOguntoyinbo, J. S.: Rainfall, Evaporation and Cotton Production in Nigeria. Nig. Geog. Jour.10, 1 (1967).\nOjo, S. Oyediran: The Seasonal March of the Spatial Patterns of Global and Net Radiation in West Africa. Journ. of Trop. Geog.31 (in Press).\nPenman, H. L.: Natural Evaporation from Open Water, Bare Soil, and Grass. Proc. Roy. Soc., Ser. A,193, 120–145 (1948).\nPenman, H. L.: Evaporation—An Introductory Survey. Neth. J. Agric. Sci.4, 9–29 (1956).\nPrescott, J. A.: Indices of Agricultural Climatology. Jour. Australian Inst. Agric. Sci.4, 33–40 (1938).\nQuinn-Young, C. T., andT. Herdman: Geography of Nigeria. Longmans, Green & Co., 1953.\nSalvador, O.: La température et le flux de chaleur dans le sol à Dakar. Ann. Fac. Sc. Dakar4, 47–54 (1959).\nStanhill, G.: The Accuracy of Meteorological Estimates of Evapotranspiration. Jour. Inst. Water Engineers12, 377 (1958).\nStanhill, G.: The Use of Piche Evaporimeter in the Calculation of Evaporation. Quart. J. Roy. Met. Soc.88, 80–82 (1962).\nTanner, C. B., andW. L. Pelton: Potential Evapotranspiration Estimates by the Approximate Energy Balance Method of Penman. Jour. Geophys. Res.65, 10 (1960).\nThornthwaite, C. W.: An Approach Toward a Rational Classification of Climate. Geog. Rev.38, 55–94 (1948).\nThornthwaite, W.: A Re-examination of the Concept and Measurement of Potential Evapotranspiration. InJ. R. Mather: The Measurement of Potential Evapotranspiration. Publ. in Climatology, Drexel Inst. of Tech. Lab. of Climatology7, Seabrook, 1954.\nThornthwaite, C. W.: Average Climatic Water Balance of the Continents. Part 1, Africa, Publ. in Climatol.,C. W. Thornthwaite Associates, Lab. of Climatol.15, Centerton, 1961.\nTrewartha, G. T.: The Earth's Problem Climates. Madison: University of Wisconsin Press, 1961.\nWalker, H. O.: Weather and Climate of Ghana. Ghana Met. Dept., Departmental Note5 (1957).\nWernstedt, F. L.: World Climatic Data—Africa Dept. of Geography, Pennsylvania State University.",{"VOID":1162},"10.1007\u002FBF02243168","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF02243168",[1165],{"id":1166,"sortIndex":32,"researcher":28,"roles":1167,"affiliations":1168,"properties":1177,"displayName":1179,"givenName":28,"familyName":28},"3ee4bc04-d043-4823-9491-9d706bd92307",[1045],[1169],{"id":1170,"sortIndex":32,"affiliation":1171,"properties":28},"423e9fc7-dc05-443d-b87e-c8efbe49bddc",{"id":1170,"createTime":28,"updateTime":28,"relativeEntities":1172,"slug":28,"properties":1173,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1176,"statistic":28},[],{"title":1174},{"VI":1175},"Department of Geography, University of California, Los Angeles, USA",[],{"title":1178},{"VI":1179},"Oyediran Ojo",{"url":28,"publisher":1181,"properties":28},{"id":868,"createTime":869,"updateTime":870,"relativeEntities":1182,"slug":872,"properties":1183,"entityType":25,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":32,"subjectFields":1187,"manageAffiliations":1192,"indexDatabases":1203,"url":28,"thumbnailPath":28,"statistic":1218,"gsStatistic":28,"type":28,"analyzePriority":28},[],{"issn":1184,"title":1185,"eissn":1186},{"VOID":875},{"EN":877},{"VOID":879},[1188],{"id":883,"createTime":28,"updateTime":28,"relativeEntities":1189,"label":1190,"description":1191,"parentId":28,"standard":28,"scholarHubFieldId":28},[],{"EN":886},{},[1193,1198],{"id":890,"createTime":28,"updateTime":28,"relativeEntities":1194,"slug":28,"properties":1195,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1197,"statistic":28},[],{"title":1196},{"EN":894},[896],{"id":898,"createTime":28,"updateTime":28,"relativeEntities":1199,"slug":28,"properties":1200,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1202,"statistic":28},[],{"title":1201},{"EN":902},[896],[1204,1211],{"id":906,"indexDatabase":1205,"url":912,"indexYears":913,"academicFieldIds":1210,"indexDatabaseRanking":916},{"id":775,"createTime":28,"updateTime":28,"relativeEntities":1206,"label":1207,"description":1208,"key":781,"publicationTags":1209,"standard":28},[],{"EN":778,"VI":778},{"EN":778,"VI":780},[783],[915],{"id":918,"indexDatabase":1212,"url":930,"indexYears":28,"academicFieldIds":1217,"indexDatabaseRanking":28},{"id":920,"createTime":28,"updateTime":28,"relativeEntities":1213,"label":1214,"description":1215,"key":927,"publicationTags":1216,"standard":28},[],{"EN":923,"VI":923},{"EN":925,"VI":926},[929,813],[932],{"impactFactor":32,"impactFactorByYear":1219,"i10Index":936,"i10IndexLast5Year":937,"totalPublication":938,"totalPublicationByYear":1220,"totalCitation":948,"totalCitationByYear":1221,"totalCitationPerPublication":978,"totalCitationPerPublicationByYear":1222,"hindexLast5Year":560,"hindex":560},{"2012":582,"2013":117,"2014":840,"2015":284,"2016":316,"2017":169,"2018":840,"2019":229,"2020":348,"2021":178,"2022":935,"2023":347},{"1948":46,"1949":47,"1950":357,"1951":122,"1952":199,"1953":128,"1954":133,"1955":131,"1956":323,"1957":134,"1958":136,"1959":145,"1960":130,"1961":205,"1962":129,"1963":323,"1964":145,"1965":127,"1966":46,"1967":129,"1968":128,"1969":127,"1970":130,"1971":131,"1972":130,"1973":135,"1974":323,"1975":136,"1976":135,"1977":135,"1978":147,"1979":135,"1980":140,"1981":129,"1982":202,"1983":147,"1984":140,"1985":357,"1986":131,"1987":128,"1988":205,"1989":148,"1990":152,"1991":202,"1992":137,"1993":352,"1994":139,"1995":138,"1996":280,"1997":150,"1998":201,"1999":200,"2000":137,"2001":137,"2002":196,"2003":201,"2004":50,"2005":281,"2006":560,"2007":50,"2008":156,"2009":937,"2010":690,"2011":940,"2012":213,"2013":684,"2014":941,"2015":216,"2016":942,"2017":614,"2018":943,"2019":944,"2020":945,"2021":946,"2022":596,"2023":947,"2024":329},{"1948":40,"1949":40,"1951":147,"1952":145,"1953":136,"1954":278,"1955":323,"1956":199,"1957":135,"1958":46,"1959":357,"1960":48,"1961":199,"1962":154,"1964":123,"1965":129,"1967":201,"1968":122,"1969":196,"1970":137,"1971":131,"1972":136,"1973":201,"1974":599,"1975":128,"1976":151,"1977":49,"1978":141,"1979":132,"1980":48,"1986":352,"1987":48,"1988":45,"1989":137,"1990":950,"1991":47,"1992":951,"1993":282,"1994":206,"1995":952,"1996":953,"1997":954,"1998":955,"1999":937,"2000":956,"2001":957,"2002":958,"2003":959,"2004":960,"2005":961,"2006":962,"2007":963,"2008":964,"2009":965,"2010":966,"2011":967,"2012":968,"2013":969,"2014":970,"2015":857,"2016":971,"2017":972,"2018":973,"2019":974,"2020":975,"2021":976,"2022":977,"2023":611,"2024":145},{"1948":194,"1949":111,"1951":188,"1952":980,"1953":589,"1954":981,"1955":980,"1956":982,"1957":983,"1958":113,"1959":230,"1960":316,"1961":705,"1962":984,"1964":167,"1965":695,"1967":985,"1968":335,"1969":986,"1970":987,"1971":40,"1972":988,"1973":185,"1974":989,"1975":348,"1976":990,"1977":169,"1978":981,"1979":589,"1980":524,"1986":232,"1987":169,"1988":222,"1989":991,"1990":992,"1991":319,"1992":993,"1993":994,"1994":995,"1995":996,"1996":997,"1997":630,"1998":998,"1999":343,"2000":999,"2001":1000,"2002":1001,"2003":1002,"2004":1003,"2005":1004,"2006":1005,"2007":1006,"2008":1007,"2009":1008,"2010":1009,"2011":1010,"2012":1011,"2013":1012,"2014":1013,"2015":1014,"2016":1015,"2017":593,"2018":1016,"2019":1017,"2020":634,"2021":190,"2022":1018,"2023":121,"2024":108},"1969-06-01",1969,[929],{"id":1227,"createTime":1228,"updateTime":1229,"relativeEntities":1230,"slug":1231,"properties":1232,"entityType":1038,"verifyStatus":880,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":1242,"viewCount":32,"primaryUrl":1243,"fullTextUrl":28,"authors":1244,"publicationType":1093,"publisherRelationship":1286,"citationCount":28,"citationInfo":28,"publishDate":1334,"publishYear":1335,"citationAnalyzeStatus":880,"lastCitationAnalyze":28,"indexDatabases":1336,"openAccess":28,"references":28,"isForceReanalyzing":1145},"0018b398-9aa5-418c-b5d4-c5dd7961a4eb","2024-01-18T23:22:16.752+00:00","2026-09-08T10:14:39.484+00:00",[],"Characterization-of-ultraviolet-radiation-UVA-in-the-desert-climate-of-the-Central-Arabian-Peninsula",{"abstract":1233,"title":1235,"references":1238,"doi":1240},{"EN":1234},"Knowledge of ultraviolet radiation (UVA) at the Earth’s surface is of great importance in different technological and scientific applications. In this study, UVA (315–400 nm) and global solar radiation (G, 400–1100 nm) data from Riyadh (Central Saudi Arabia) for the period between 2015 and April 2020 are used to characterize the UVA at different cloudiness levels. The sky was classified into several categories according to the clearness index. For all sky conditions, the mean values of UVA, G, and the ratio UVA\u002FG were 11.58 ± 6.1 W\u002Fm2, 549.35 ± 264.55 W\u002Fm2, and 0.021 ± 0.003, respectively. While the mean UVA and G values under totally overcast skies were 5.51 ± 2.7 W\u002Fm2 and 267.90120.44 W\u002Fm2, respectively, the UVA was 21.63 ± 2.14 W\u002Fm2 and G was 933.19 ± 39.94 under clear skies. For partly cloudy skies, the amount of UVA and G increases as the sky gets clearer. The annual mean value of UVA decreased gradually from 2016 to 2018. In comparison with the mean value of UVA in 2016, the mean values of UVA were down about 7% and 18% in 2017 and 2018, respectively. This may be due to the heavy dust storms that occurred in those two years. The monthly and hourly variations in UVA and G are investigated and discussed. The distribution of the monthly values of UVA and G exhibits high symmetry. The UVA and G are at the maximum in summer and the minimum in winter. The amount of radiation appears similar in spring and summer and in autumn and winter. This may be explained by the seasonal symmetry of the summer and winter solstices. The hourly variations in the average UVA and G attain their minimum values in the early morning (06:00 local time) and reach their maximum values at around midday. Finally, several empirical models relating ultraviolet (UV), with solar global radiation (G), and the clearness index (Kt) under all sky conditions are established. The results reveal that the proposed empirical models accurately predict hourly values.",{"EN":1236,"VI":1237},"Characterization of ultraviolet radiation (UVA) in the desert climate of the Central Arabian Peninsula","Đặc trưng hóa bức xạ tử ngoại (UVA) trong khí hậu sa mạc tại miền trung bán đảo Ả Rập",{"VOID":1239},"Alados I, Mellado J, Ramos F, Alados-Arboledas I (2004) Estimating UV erythemal irradiance by means of neural networks. J Photochem Photobiol 80:351–358\nAl-Aruri SD (1990) The empirical relationship between global radiation and global ultraviolet (0.290–0.385) mm solar radiation components. Sol Energy 45:61–64\nBilbao J, Mateos D, Miguel A (2011) Analysis and cloudiness influence on UV total irradiation. Int J Climatol 31:451–460\nBarbero FJ, López G, Batles FJ (2006) Determination of daily solar ultraviolet radiation using statistical models and artificial neural networks. Ann Geophys 24:2105–2114\nBilbao J et al (2015) Global, diffuse, beam and ultraviolet solar irradiance recorded in Malta and atmospheric component influences under cloudless skies. Sol Energy 121:131–138\nCañada J, Pedros G, Bosca J (2003) Relationships between UV (0.290-0.385 μm) and broad band solar radiation hourly values in Valencia and Córdoba. Spain Energy 28:199–217\nCañada J, Pedrós G, López A, Boscà J (2000) Influence of the clearness index for the whole spectrum and of the relative optical air mass on UV solar irradiance for two locations in the Mediterranean area, Valencia and Córdoba. J of Geophys Res 110:4759–4766\nCasale G, Meloni D, Miano S, Palmieri S, Siani A (2000) Solar UV-B irradiance and total ozone in Italy: fluctuations and trends. J Geophys Res 105:4895–4901\nDi Sarra A, Cacciani M, Chamard P et al (2018) Effects of desert dust on ozone on the ultraviolet irradiance at the Mediterranean island of Lampedusa during PAUR II. J Geophys Res 107(D18):2–14\nDiffey B (1991) Solar ultraviolet effects on biological systems. Phys Med Biol 36:299–328\nFeister U, Grasnick KH (1992) Solar UV radiation measurements at Postdam (528229N, 13859E). Sol Energy 49:541–548\nFioletov E et al (2009) On the relationship between erythemal and vitamin D action spectrum weighted ultraviolet radiation. J Photochem Photobiol B 95:9–16\nFoyo-Moreno I, Vida J, Alados-Arboledas L (1999) A simple all weather model to estimate ultraviolet solar radiation (290–385 nm). J Appl Meteorol 38:1020–1026\nFoyo-Moreno I, Alados I, Olmo F, Alados-Arboledas L (2003) The influence of cloudiness on UV global irradiance (295–385 nm). Agri and Forest Meteorol 120:101–111\nFoyo-Moreno I, Vida J, Alados-Arboledas I (1998) Ground-based ultraviolet (290–385 nm) and broadband solar radiation measurements in south-eastern Spain. Int J Climatol 18:1389–1400\nGueymard C (2004) The sun’s total and spectral irradiance for solar energy applications and solar radiation models. Sol Energy 76:423–453\nHe Y, Zheng Y, He D (2002) A summary of research on the effects of enhanced ultraviolet radiation on field ecosystems. Chinese J Agrometeorol 1:47–52\nIqbal M (1983) An introduction to solar radiation. Academic Press, New York\nJacovides C, Tymvios F, Assimakopoulos D et al (2009) Solar UVB (280–315 nm) and UVA (315–380 nm) radiant fluxes and their relationships with broadband global radiant flux at an eastern Mediterranean site. Agricultural and Forest Meteorol 149:1188–1200\nJacovides C, Tymvios F, Boland J, Tsitouri M (2015) Artificial neural network models for estimating daily solar global UV, PAR and broadband radiant fluxes in an eastern Mediterranean site. Atmos Res 152:138–145\nKaskaoutis D, Kambezidis H, Jacovides C, Steven M (2006) Modification of solar radiation components under different atmospheric conditions in the Greater Athens Area, Greece. J Atmos Sol-Terr Phys 68:1043–1052\nKrzyscin J, Puchalsky S (1998) Aerosol impact on the surface UV radiation from the groundbased measurements taken at Belsk. Poland J Geophys Res 103(D13):16175–16181\nKudish A, Lyubanksky V, Evseev E, Ianetz A (2005) Statistical analysis and intercomparison of the solar UVB, UVA and global radiation for Beer Sheva and Neve Zohar (Dead Sea), Israel. Ther Appl Climatol 80:1–15\nMacKie R (2006) Long-term health risk to the skin of ultraviolet radiation. Prog Biophys Mol Bio 92:92–96\nMaghrabi A (2012) Modification of the IR sky temperature under different atmospheric conditions in an arid region in central Saudi Arabia: experimental and theoretical justification. J Geophys Res 117:D19207\nMartinez-Lozano J, Tena F, Utrillas P (1996) Measurement and analysis of ultraviolet solar irradiation in Valencia. Spain in J Climatol 16:947–955\nMartínez-Lozano J, Tena F, Utrillas M (1999) Ratio of UV to global broad band irradiation in Valencia, Spain. Int J Climatol 19:903–911\nMateos D, Miguel A, Bilbao J (2010) Empirical models of UV total radiation and cloud effect study. J Climatol 30:1407–1415\nMurillo W, Cañada J, Pedrós G (2003) Correlation between global ultraviolet (290–385 nm) and global irradiation in Valencia and Córdoba (Spain). Renew Energy 28:409–418\nOgunjobi K, Kim Y (2004) Ultraviolet (0.280-0.400) and broadband solar hourly radiation at Kwangju, South Korea: analysis of their correlation with aerosol optical depth and clearness index. Atmos Res 71:193–214\nPashiardis S, Kalogirou SA, Pelengaris A (2017) Statistical analysis and inter-comparison of solar UV and global radiation for Athalassa and Larnaca. Cyprus SM J Biometrics Biostat 2(2):1012\nRobaa SM (2004) A study of ultraviolet solar radiation at Cairo urban area. Egypt Sol Energy 77:251–259\nRoyal Commission of Riyadh City (2020) Riyadh Environment. https:\u002F\u002Fwww.riyadhenv.gov.sa\u002F\nSkye Instrument (2014). http:\u002F\u002Fwww.skyeinstruments.info\u002Findex_htm_files\u002FUVA%20SENSOR%20v3.pdf\nHeuklon V (1979) Estimating atmospheric ozone for solar radiation models. Sol Energy 22:63\nZerefos CS, Bais AF (1997) Solar ultraviolet radiation, modeling, measurements and effects. 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any given region, climate change can be manifested in the form of various characteristics of climatic elements. In the present study, the frequency of different duration of rainy days was examined to investigate the precipitation variations as a sign of climate change. To this end, gridded precipitation data were used from 1971 through 2016, and days with more than 1 mm of precipitation were considered rainy days. According to the rainy days’ frequency, it was revealed that during the study period, 1 to 36 days of duration occurred in the country. The 1-day duration had the highest frequencies and covered the vastest areas, while 36-day duration had the lowest frequencies and covered the minor areas. Accordingly, the 1-day duration played the most significant role in annual precipitation. The proportion of these rainfall events in some country’s dry and semi-dry parts was more than 80%. The findings also revealed an increased frequency of short-term, especially 2-day duration, in large parts of the country and a decrease in the long-term duration. The results showed that latitude and longitude had the most significant impact on the frequency distribution of the duration of rainy days. Latitude had a direct effect (excluding the 1-day duration of annual precipitation), and longitude had an inverse effect (except the 1-day duration of annual precipitation) on the precipitation duration.",{"EN":1418},"Variation in frequency and proportion of duration of rainy days in Iran’s precipitation",{"VOID":1420},"Agha Razi H, Telvari A, Davoudi Rad AA (2007) Drawing depth–area–duration in Markazi Province. Pajouhesh Va Sazandegi 20:94–98\nAlijani B (1996) Climate of Iran. Payam Noor University Press, Tehran\nAlijani B (2008) Effect of the Zagros Mountains on the spatial distribution of precipitation. J Mt Sci 5:218–231. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11629-008-0126-8\nAlijani B, O’Brien J, Yarnal B (2008) Spatial analysis of precipitation intensity and concentration in Iran. Theor Appl Climatol 94:107–124. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-007-0344-y\nAlijani B, Mahmoudi P, Shahvazni A, Mohammadi A (2014) Investigating the probability of rainy days’ duration in Iran. Geogr Environ Plann 25:N 56\nAsakereh H (2006) Climate change. Zanjan University Press, Zanjan\nAsakereh H (2008) Kriging application in climatic element interpolation a case study: Iran precipitation in 1996.12.16. Geography and Development 6:25–42. https:\u002F\u002Fdoi.org\u002F10.22111\u002Fgdij.2008.1241\nAlizadeh A (2009) Principles of applied hydrology. Imam Reza University Press, Mashhad\nAsakereh H (2011) Foundations of statistical climatology. Zanjan University Press, Zanjan\nAsakereh H (2013) Analyses the trend of dry and wet winds in Zanjan. Geography and Development 11:47–56. https:\u002F\u002Fdoi.org\u002F10.22111\u002Fgdij.2013.793\nAsakereh H, Tarkarani F (2020) Some descriptive features and long-term changes of dry season over Iran. Geogr Dev 18(58):113–132. https:\u002F\u002Fdoi.org\u002F10.22111\u002Fgdij.2020.5324\nAsakereh H, Jahanbakhsh S, Ashrafi S (2019) On the frequency changes of cyclones affecting precipitation in the Rood Zard basin, Iran. Arab J Geosci 12:413. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12517-019-4523-9\nAsakereh H, Masoudian SA, Tarkarani F (2020) Long - term trend detection of annual precipitation over Iran in relation with changes in frequencies of daily extreme precipitation. J Geography and Environmental Hazard 9:123–143. https:\u002F\u002Fdoi.org\u002F10.22067\u002Fgeoeh.2021.67028.0\nAsakereh H, Masoudian SA, Tarkarani F (2021a) A discrimination of roles of internal and external factors on the decadal variation of annual precipitation in Iran over recent four decades (1975–2016). Phys Geogr Res 53:91–107. https:\u002F\u002Fdoi.org\u002F10.22059\u002Fjphgr.2021.304776.1007529\nAsakereh H, Masoudian SA, Tarkarani F (2021b) An investigation of decadal variation of Iran precipitation over four decades (1976-2016). Geogr Plan 25:187–202. https:\u002F\u002Fdoi.org\u002F10.22034\u002Fgp.2020.41308.2680\nBehyar MB, Khazaei M, Ghaemi H (2013) The analysis of precipitation time regime in Great Karoon Basin. GeoRes 28(1):1–12\nBichet A, Diedhiou A (2018) West African Sahel has become wetter during the last 30 years, but dry spells are shorter and more frequent. Clim Res 75(2):155–162. https:\u002F\u002Fdoi.org\u002F10.3354\u002Fcr01515\nBox GEP, Jenkins GM, Reinsel GC, Ljung GM (2016) Time series analysis forecasting and control, 5th edn. John Wiley & Sons Publication, London\nDarand M (2018) Spatial analysis of precipitation persistency in Kurdistan Province. Geography and Development 52:247–266. https:\u002F\u002Fdoi.org\u002F10.22111\u002Fgdij.2018.4125\nDostkamyan M, MohammadiBigdeli F, kohpayehi N, (2015) The analysis of monthly moisture advection changes in Iran’s atmosphere over the recent half-century. Res Geogr Sci 15(39):139–152\nDouguedroit A (1987) The variation of dry spells in Marseilles from 1865 to 1984. J Climatol 7:541–551. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.3370070603\nDuan Y, Ma Z, Yang Q (2017) Characteristics of consecutive dry days variations in China. Theor Appl Climatol 130:701–709. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-016-1984-6\nFatahi I, Hejazi Zadeh Z (2006) Temporal and spatial air masses and its application in monitoring dry and wet periods (spells) in southwest basins of Iran. Geogr Res 21:99–120\nGhafouriam R, Telvari A (2010) Determination of depth – area – duration rainfall curves and relationships in Khorasan Province. Range and Watershed Management 63:219–234\nGholizadeh MH, Hamidi S (2020) The evaluation of rainfall duration variability in Kurdistan Province. Geography and Planing 24:197–217. https:\u002F\u002Fdoi.org\u002F10.22034\u002Fgp.2020.10541\nJahanbakhsh S, Ashrafi S, Asakereh H (2021) Examining decadal changes in cyclones associated with precipitation in the Zard Rud basin. Geography and Planing 75:101–112. https:\u002F\u002Fdoi.org\u002F10.22034\u002Fgp.2021.10842\nKavyani MR, Alijani B (2001) The foundations of climatology. Samt Press, Tehran\nKutiel H, Trigo RM (2014) The rainfall regime in Lisbon in the last 150 years. Theoret Appl Climatol 118(3):387–403. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-013-1066-y\nLashkari H, Mohammadi F (2019) Investigation of rainfall variation of Sudan low during the historical process in southwestern Iran. Physical Geography Research 51:373–387. https:\u002F\u002Fdoi.org\u002F10.22059\u002Fjphgr.2019.272706.1007323\nLázaro R, Rodrigo FS, Gutirrez L, Domingo F, Puigdefáfragas J (2001) Analysis of a 30-year rainfall record in semi-arid SE Spain for implications on vegetation. J Arid Environ 48:373–395. https:\u002F\u002Fdoi.org\u002F10.1006\u002FJARE.2000.0755\nLiu C (2011) Rainfall contributions from precipitation systems with different sizes, convective intensities, and durations over the tropics and subtropics. J Hydrometeorol 12:394–412. https:\u002F\u002Fdoi.org\u002F10.1175\u002F2010JHM1320.1\nMansuri S, Doostan R (2019) Atmospheric patterns of rainfall duration in west of Iran. Phys Geogr 12:141–159\nMasoudian SA (2008) On precipitation mapping in Iran. J Humanit 30(2):69–80\nMasoudian SA, Kavyani MR (2008) Climatology of Iran. Isfahan Univercity Press, Isfahan\nMasoudian SA, Rayatpishe F, Keykhosravi Kiani MS (2015) Introducing the TRMM and Asfezari precipitation database: a comparative study. Iranian Journal of Geophysics 4:15–31\nMudelsee M (2019) Trend analysis of climate time series: a review of methods. Earth Sci Rev 190:310–322. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.earscirev.2018.12.005\nNaseri M, Modarres R (2009) Dry spell trend analysis of Isfahan Province. Iran. Int J Climatol 29:1430–1438. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjoc.1805\nNazaripour H (2014) Regions of Iran with persistence of precipitation. Geography and Development 12:195–208. https:\u002F\u002Fdoi.org\u002F10.22111\u002Fgdij.2014.1718\nNazaripour H, Karimi Z (2013) Detection changes in precipitation daily Persistence's share in the supply of Iran's rainy days and precipitation amount. J Geogr Sci 12:53–75\nNazaripour H, Khosravi M, Masoodin SA (2011) Spatial patterns of importance of Iranian rainfall persistency. Arid Regions Geographic Studies 1(3):37–58\nNunn R (1929) Duration of rainfall at Baltimore, MD. Mon Weather Rev 752:50–52\nRahim Zadeh F, Hedayati Dezfuli A, Pour Asgharian A (2011) Assessments of the process and mutation of limit indices of temperature and precipitation in Hormozgan Province. Geography and Development 9(21):97–116. https:\u002F\u002Fdoi.org\u002F10.22111\u002Fgdij.2011.583\nRatan R, Venugopal V (2013) Wet and dry spell characteristics of global tropical rainfall. Water Resour Res 49:3830–3841. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fwrcr.20275\nRomero R, Guijarro AJ, Ramis C, Alonso S (1998) A 30-year (1964–1993) daily rainfall data base for the Spanish Mediterranean regions: first exploratory study. Int J Climatol 18:541–560. https:\u002F\u002Fdoi.org\u002F10.1002\u002F(SICI)1097-0088\nShands AL (1947) Maximum observed rainfalls in the United States for durations to 72 hours and areas to 100000 square miles. Bull Am Meteorol Soc 28:233–236\nSingh N, Ranade A (2010) The wet and dry spells across India during 1951–2007. J Hydrometeorol 11:26–45. https:\u002F\u002Fdoi.org\u002F10.1175\u002F2009JHM1161.1\nSotoudeh F, Alijani B, Saligheh M, Akbari M (2019) The influence of Zagros Mountains on Iran's rainfall cyclones. Physical Geography Research 50(4):639–653. https:\u002F\u002Fdoi.org\u002F10.22059\u002Fjphgr.2019.245032.1007142\nVaittinada Ayar P, Mailhot A (2021) Evolution of dry and wet spells under climate change over north-eastern North America. J Geophys Res Atmos 126:e2020JD033740. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2020JD033740\nVinnarasi R, Dhanya CT (2016) Changing characteristics of extreme wet and dry spells of Indian monsoon rainfall. J Geophys Res Atmos 121:2146–2160. https:\u002F\u002Fdoi.org\u002F10.1002\u002F2015JD024310\nYe H, Fetzer EJ (2019) Asymmetrical shift toward longer dry spells associated with warming temperatures during Russian summers. Geophys Res Lett 46(11):455–462. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2019GL084748",{"VOID":1422},"10.1007\u002Fs00704-022-04352-6","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00704-022-04352-6",[1425,1440],{"id":1426,"sortIndex":32,"researcher":28,"roles":1427,"affiliations":1428,"properties":1437,"displayName":1439,"givenName":28,"familyName":28},"46fa22c9-6af7-4614-8b93-23f7633bf131",[1045],[1429],{"id":1430,"sortIndex":32,"affiliation":1431,"properties":28},"4d293a52-dd07-4823-875f-3ca6ba3e7c80",{"id":1430,"createTime":28,"updateTime":28,"relativeEntities":1432,"slug":28,"properties":1433,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1436,"statistic":28},[],{"title":1434},{"VI":1435},"Department of Geography, University of Zanjan, Zanjan, Iran",[],{"title":1438},{"VI":1439},"Hossein 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paper is part of a series earlier studies in which the precipitation enhancement potential in central and northern Greece is assessed. A drought analysis is performed in this study. In particular, the Palmer Drought Severity Index (PDSI) is used for the quantitative estimation of droughts on a monthly basis. Emphasis is placed on drought identification and estimation as well as the severity and areal extent of the phenomenon. The results indicate that there are several drought periods which are common to all stations in central and northern Greece, characterized by significant severity and time duration. There are also a large number of drought periods during the summer months as well as during the winter months.",{"EN":1514},"Drought assessment for the potential of precipitation enhancement in northern Greece",{"VOID":1516},"Alley, W. M., 1984: The Palmer Drought Severity Index: limitations and assumptions.J. Climate Appl. Meteor. 23, 1100–1109.\nAlley, W. M., 1985: The Palmer Drought Severity Index as a measure of hydrological drought.Water Res. Bull. 21, 105–114.\nBalafoutis, C. H., 1988: Water balance over Greece. Sci. Annals, Fac. Physics and Math., Arist. Univ. of Thessaloniki, No1 (3), 142 pp (in Greek).\nBurnash, R. J., Ferral, L., 1973: Generalized hydrologic modeling. A key to Drought analysis. Water Res. Publ., Fort Collins, Colo., 503–514.\nChristodoulou, M., Dalezios, N. R., 1988: Rainfall characteristics and cloud climatology for rain enhancement in northern Greece. Intern. Symp.\u002FWorkshop on Weather Modif., OGA, 1–4 Aug., Thessaloniki, Greece.\nDalezios, N. R., 1975: Droughts and their computation. Presented at the Symposium on Meteorology and Agriculture, University of Athens, Greece, 1–6 December.\nDalezios, N. R., 1988: The Palmer Drought Severity Index (PDSI) for rain enhancement in northern Greece. Intern. Symp.\u002FWorkshop on Weather Modif., OGA, 1–4 Aug., Thessaloniki, Greece.\nDalezios, N. R., Christodoulou, M., 1989: Feasibility of rain enhancement for northern Greece. Preceedings, 5th WMO Scient. Conf. on Weather Modif. and Applied Cloud Physics, Bejing, China, WMO, May 8–12, 325–328.\nFarazulis, G. N., Krauss, T. W., Dalezios, N. R., 1988: Rain experiments in northern Greece: a case study. Int. Symp.\u002FWorkshop on Weather Modif., OGA, 1–4 Aug., Thessaloniki, Greece.\nGiles, B. D., Flocas, A. A., 1990: Diurnal rainfall variations at Thessaloniki, Greece.Theor. Appl. Climatol. 41, 221–225.\nHowell, W. E., Grant, L. O., 1973: The role of weather modification in Drought relief. Water Res. Publ., Fort Collins, Colo., 551–560.\nKaracostas, T. S., Ganniaris-Papageorgiou, C., 1985: The effects of mountainous topography upon the convective clouds development during the National Hail Suppression Program in Greece. Zbornik No 11, Meteoroloskih i Hidroloskih Radova, 55–58.\nKarl, T. R., 1986: The sensitivity of the Palmer Drought Severity Index and Palmer's Z-index to their calibration coefficients including potential evapotranspiration.J. Climate Appl. Meteor. 25, 77–86.\nKarras, G., 1973: Climatic classification of Greece according to Thornthwaite. Ph.D. Dissertation, Univ. of Athens, Greece (in Greek).\nKochtubajda, B., Issaac, G. A., 1986: A summertime cloud climatology of central and southern Alberta. Interim Report, Alberta Research Council, 12 pp.\nLouie, P. Y. T., 1986: An Operational Palmer Drought Severity Index Program for Canadian Synoptic Stations. Proceedings, Canadian Hydrology Symposium (CHS: 86), Regina, Sask., 3–6 June, NSERC, 101–112.\nPalmer, W. C., 1965: Meteorological Drought. Research Paper No 45, U.S. Weather Bureau, Washington, D.C., Feb., 58 pp.\nPapazafiriou, Z., 1989: Experimental application of new irrigation methods. Progress Rept. to Min. of Agriculture, Arist. Univ. of Thessaloniki, 95 pp. (in Greek).\nProut, N., Dalezios N., Manore M., Tracey J., Brown R., Walker G., 1986: Agricultural Drought: precipitation deficiency and NOAA AVHRR Indice Comparisons. Proceedings, Canadian Hydrology Symposium (CHS: 86), Regina, Sask., 3–6 June, NSERC, 91–100.\nThornthwaite, W. C., 1948: An approach toward a rational classification of climate.Geogr. Rev. 38, 55–94.\nThornthwaite, W. C., Mather, J. R., 1957: Instructions and tables for computing potential evapotranspiration and the water balance. Publications in Climatology, John Hopkins Univ., Vol.10.",{"VOID":1518},"10.1007\u002FBF00867995","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002FBF00867995",[1521,1536,1551,1564],{"id":1522,"sortIndex":32,"researcher":28,"roles":1523,"affiliations":1524,"properties":1533,"displayName":1535,"givenName":28,"familyName":28},"9ddf221a-135c-42e3-9b54-9df078ca9bb7",[1045],[1525],{"id":1526,"sortIndex":32,"affiliation":1527,"properties":28},"4c6c142b-27ec-48ca-bb29-462d560fa954",{"id":1526,"createTime":28,"updateTime":28,"relativeEntities":1528,"slug":28,"properties":1529,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1532,"statistic":28},[],{"title":1530},{"VI":1531},"Envirotech Ltd, Thessaloniki, Greece",[],{"title":1534},{"VI":1535},"N. R. 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precipitation time series of 155 synoptic stations distributed over Iran, covering 1990–2014 time period, were used to identify areas with different precipitation time variability and regimes utilizing S-mode principal component analysis (PCA) and cluster analysis (CA) preceded by T-mode PCA, respectively. Taking into account the maximum loading values of the rotated components, the first approach revealed five sub-regions characterized by different precipitation time variability, while the second method delineated eight sub-regions featured with different precipitation regimes. The sub-regions identified by the two used methods, although partly overlapping, are different considering their areal extent and complement each other as they are useful for different purposes and applications. Northwestern Iran and the Caspian Sea area were found as the two most distinctive Iranian precipitation sub-regions considering both time variability and precipitation regime since they were well captured with relatively identical areas by the two used approaches. However, the areal extents of the other three sub-regions identified by the first approach were not coincident with the coverage of their counterpart sub-regions defined by the second approach. Results suggest that the precipitation sub-region identified by the two methods would not be necessarily the same, as the first method which accounts for the variance of the data grouped stations with similar temporal variability while the second one which considers a fixed climatology defined by the average over the period 1990–2014 clusters stations having a similar march of monthly precipitation.",{"EN":1640},"A precipitation regionalization and regime for Iran based on multivariate analysis",{"VOID":1642},"Alexandersson H (1986) A homogeneity test applied to precipitation data. J Climatol 6:661–675\nAmante C, Eakins BW (2009) ETOPO1 1 arc-minute global relief model: procedures, data sources and analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, NOAA. doi:10.7289\u002FV5C8276M\nAndrade dos Santos JC (2004) Climate variability in Europe and its connection to the tropospheric and stratospheric circulations: a case study for Portugal. Ph.D. dissertation, university of lisboa, Portugal\nBuishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58:11–27\nCattel RB (1966) The scree test for the number of factors. Multivar Behav Res 1:245–276\nCerny CA, Kaiser HF (1977) A study of a measure of sampling adequacy for factor-analytic correlation matrices. Multivar Behav Res 12(1):43–47\nChen LJ, Chen DL, Wang HJ, Yan JH (2009) Regionalization of precipitation regimes in China. Atmospheric and Oceanic Science Letters 2(5):301–307\nComrie AC, Glenn EC (1998) Principal components-based regionalization of precipitation regimes across the southwest United States and northern Mexico, with an application to monsoon precipitation variability. Clim Res 10:201–215\nDarand M, Mansouri Daneshvar MR (2014) Regionalization of precipitation regimes in Iran using principal component analysis and hierarchical clustering analysis. Environ Process 1:517. doi:10.1007\u002Fs40710-014-0039-1\nDezfuli AK, Karamouz M, Araghinejad S (2010) On the relationship of regional meteorological drought with SOI and NAO over southwest Iran. Theor Appl Climatol 100:57–66\nDinpashoh Y, Fakheri-Fard A, Moghaddam M, Jahanbakhsh S, Mirnia M (2004) Selection of variables for the purpose of regionalization of Iran’s precipitation climate using multivariate methods. J Hydrol 297:109–123\nDomroes M, Kaviani M, Schaefer D (1998) An analysis of regional and intra-annual precipitation variability over Iran using multivariate statistical methods. Theor Appl Climatol 61:151–159\nDrosdowsky W (1993) An analysis of Australian seasonal rainfall anomalies: 1950-1987. I: spatial patterns. Int J Climatol 13:1–30\nFernández Mills G (1995) Principal component analysis of precipitation and rainfall regionalization in Spain. Theor Appl Climatol 50(3):169–183\nGhorbani-Aghdam M, Dinpashoh Y, Mostafaeipour A (2013) Application of factor analysis in defining drought prone areas in Lake Urmia Basin. Nat Hazards 69(1):267–277\nGreen MC, Flocchini G, Myrup LO (1993) Use of temporal principal components analysis to determine seasonal periods. J Appl Meteorol 32(5):986–995\nHuth R (1997) Continental-scale circulation in the UKHI GCM. J Clim 10:1545–1561\nKansakar SR, Hannah DM, Gerrard AJ, Rees G (2004) Spatial pattern in the precipitation regime of Nepal. Int J Climatol 24:1645–1659\nKashani M, Dinpashoh Y (2012) Evaluation of efficiency of different estimation methods for missing climatological data. Stoch Env Res Risk A 26(1):59–71\nLawley DN (1956) Tests for significance for the latent roots of covariance and correlation matrices. Biometrica 43:128–136\nMiller JA, Goodrich GB (2007) Regionalization and trends in winter precipitation in the northwestern USA. Clim Res 33:215–227\nModarres R, Sarhadi A (2011) Statistically-based regionalization of rainfall climates of Iran. Glob Planet Chang 75:67–75\nNorth GR, Bell TL, Cahalan RF (1982) Sampling errors in the estimation of empirical orthogonal functions. Mon Wea Rev 110:699–706\nPettitt AN (1979) A non-parametric approach to the change-point detection. Appl Stat 28:126–135\nRao AR, Srinivas VV (2006) Regionalization of watersheds by hybrid-cluster analysis. J Hydrol 318:37–56\nRaziei T, Sotoudeh F, (2016) Investigation of the accuracy of the European Center for Medium Range Weather Forecast (ECMWF) in forecasting observed precipitation in different climates of Iran. Journal of earth and space physics (Accepted for publication)\nRaziei T, Bordi I, Pereira LS (2008) A precipitation-based regionalization for western Iran and regional drought variability. Hydrol Earth Syst Sci 12:1309–1321\nRaziei T, Bordi I, Pereira LS (2011) An application of GPCC and NCEP\u002FNCAR datasets for drought variability analysis in Iran. Water Resour Manag 25:1075–1086\nRaziei T, Mofidi A, Santos JA, Bordi I (2012) Spatial patterns and regimes of daily precipitation in Iran in relation to large-scale atmospheric circulation. Int J Climatol 32:1226–1237\nRaziei T, Bordi I, Pereira LS (2013) Regional drought modes in Iran using the SPI: the effect of time scale and spatial resolution. Water Resour Manag 27:1661–1674\nRichman MB (1986) Rotation of principal components. J Climatol 6:293–335\nRichman MB, Lamb PJ (1985) Climatic pattern analysis of three- and seven-day summer rainfall in the central United States: some methodological considerations and a regionalization. J Climate Appl Meteor 24:1325–1343\nRichman MB, Lamb PJ (1987) Pattern analysis of growing season precipitation in southern Canada, Atmos. Ocean 25(2):137–158\nRousseeuw PJ (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53–65\nSaraçli S, Doğan N, Doğan I (2013) Comparison of hierarchical cluster analysis methods by cophenetic correlation. Journal of Inequalities and Applications 2013:203. doi:10.1186\u002F1029-242X-2013-203\nSaris F, Hannah DM, Eastwood WJ (2010) Spatial variability of precipitation regimes over Turkey. Hydrol Sci J 55(2):234–249\nSarmadi F, Shokoohi AR (2015) Regionalizing precipitation in Iran using GPCC gridded data via multivariate analysis and L-moment methods. Theor Appl Climatol 122:121–128\nShen SSP, Wied O, Weithmann A, Regele T, Bailey BA, Lawrimore JH (2015) Six temperature and precipitation regimes of the contiguous United States between 1895 and 2010: a statistical inference study. Theor Appl Climatol 125(1):197–211\nSokal RR, Rohlf FJ (1962) The comparison of dendrograms by objective methods. Taxon 11:33–40\nSoltani S, Modarres R, Eslamian SS (2007) The use of time series modelling for the determination of rainfall climates of Iran. Int J Climatol 27:819–829\nVon Neumann J (1941) Distribution of the ratio of the mean square successive difference to the variance. Ann Math Stat 13:367–395\nWang W, Chen X, Shi P, van Gelder PHAJM (2008) Detecting changes in extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China. Hydrol Earth Syst Sci 12:207–221\nWhite D, Richman M, Yarnal B (1991) Climate regionalization and rotation of principal components. Int J Climatol 11:1–25\nYarnal B (1993) Synoptic climatology in environmental analysis: a primer. Belhaven Press, London\nYatagai A, Xie P, Alpert P (2008) Development of a daily gridded precipitation data set for the Middle East. Journal of Advances in Geosciences 12:165–170\nYatagai A, Arakawa O, Kamiguchi K, Kawamoto H, Nodzu MI, Hamada A (2009) A 44-year daily gridded precipitation dataset for Asia based on a dense network of rain gauges. SOLA 5:137–140",{"VOID":1644},"10.1007\u002Fs00704-017-2065-1","2024-12-16T00:14:40.278+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00704-017-2065-1",[1648],{"id":1649,"sortIndex":32,"researcher":28,"roles":1650,"affiliations":1651,"properties":1660,"displayName":1662,"givenName":28,"familyName":28},"f99a386a-a218-4c29-96a0-fa5aebf58a18",[1045],[1652],{"id":1653,"sortIndex":32,"affiliation":1654,"properties":28},"eee43c3e-5b47-493d-8285-5fcb67d53c09",{"id":1653,"createTime":28,"updateTime":28,"relativeEntities":1655,"slug":28,"properties":1656,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1659,"statistic":28},[],{"title":1657},{"VI":1658},"Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization (AREO), Tehran, Iran",[],{"title":1661},{"VI":1662},"Tayeb 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paper discusses the interannual variation of winter cold surges (CSs) over East Asia (EA) from the perspective of the cold air path and its relationship with autumn Barents Sea ice concentration (BSIC). Flexible particle dispersion model for large-scale atmospheric transport process simulation is used to track the cold air path of 301 CSs in EA in winters from 1979 to 2017, and the probability density distribution of cold air path is calculated by kernel density estimation. The cold air mainly originates from the Ural Mountains, and is continuously cooled by the impact of cold land, then accumulates and strengthens near the Lake Baikal, and finally invades EA under the guidance of the northwest airflow. The autumn BSIC has a significant negative correlation with CSs over EA. The decreased autumn BSIC hinders the spread of zonal warm advection over Eurasia and makes the soil temperature near Lake Baikal drop, and the negative anomaly of soil temperature persists from autumn to winter, strengthening cold source therein, which provides suitable thermal conditions for occurring more CSs over EA. Moreover, the decreased autumn BSIC can also persist to winter, which leads to the positive anomaly of the geopotential height over the polar region. Through the propagation of Rossby wave, the negative geopotential height anomaly over EA is excited and provides the appropriate dynamic conditions for forming more CSs in EA. The simulations from the Community Atmosphere Model version 5.3 (CAM5.3) further confirm the proposed possible mechanism.",{"EN":1724},"Linkage between interannual variation of winter cold surge over East Asia and autumn sea ice over the Barents Sea",{"VOID":1726},"Chan J, Li C (2004) The East Asia winter monsoon. East Asian Monsoon, C.-P. Chang, Ed., World Scientific 54–106\nCohen J, Zhang X, Francis J, Jung T, Kwok R, Overland J, Ballinger TJ, Bhatt US, Chen HW, Coumou D, Feldstein S, Gu H, Handorf D, Henderson G, Ionita M, Kretschmer M, Laliberte F, Lee S, Linderholm HW, Maslowski W, Peings Y, Pfeiffer K, Rigor I, Semmler T, Stroeve J, Taylor PC, Vavrus S, Vihma T, Wang S, Wendisch M, Wu Y, Yoon J (2020) Divergent consensuses on Arctic amplification influence on midlatitude severe winter weather. Nat Clim Chang 10:20–29. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41558-019-0662-y\nCompo G, Kiladis G, Webster P (1999) The horizontal and vertical structure of East Asian winter monsoon pressure surges. Q J R Meteorol Soc 125:29–54. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fqj.49712555304\nDai H, Fan K, Liu J (2019) Month-to-month variability of winter temperature over northeast China linked to sea ice over the Davis Strait–Baffin Bay and the Barents–Kara Sea. J Clim 32:6365–6384. https:\u002F\u002Fdoi.org\u002F10.1175\u002FJCLI-D-18-0804.1\nDee D et al (2011) The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fqj.828\nDing Y (1990) Build-up, air mass transformation and propagation of Siberian high and its relations to cold surge in East Asia. Meteorl Atmos Phys 44:281–292. https:\u002F\u002Fdoi.org\u002F10.1007\u002FBF01026822\nDing Y, Krishnamurti T (1987) Heat budget of the Siberian high and the winter monsoon. Mon Weather Rev 115:2428–2449. https:\u002F\u002Fdoi.org\u002F10.1175\u002F1520-0493(1987)115\u003C2428:HBOTSH>2.0.CO;2\nFan K, Xie Z, Wang H, Xu Z, Liu J (2018) Frequency of spring dust weather in North China linked to sea ice variability in the Barents Sea. Climate Dynamics 51(11-12):4439–4450\nFereday D, Maidens A, Arribas A, Scaife A, Knight J (2012) Seasonal forecasts of northern hemisphere winter 2009\u002F10. 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J Clim 25:2561–2568. https:\u002F\u002Fdoi.org\u002F10.1175\u002FJCLI-D-11-00449.1\nInouye D (2000) The ecological and evolutionary significance of frost in the context of climate change. Ecol Lett 3:457–463. https:\u002F\u002Fdoi.org\u002F10.1046\u002Fj.1461-0248.2000.00165.x\nIPCC (2013) The physical sciences basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 1535\nJeong J, Ho C (2005) Changes in occurrence of cold surges over East Asia in associated with Arctic Oscillation. Geophys Res Lett 32:L14704. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2005GL023024\nJi L, Fan K (2019) Interannual linkage between wintertime sea-ice cover variability over the Barents Sea and springtime vegetation over Eurasia. Clim Dyn 53:5637–5652. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00382-019-04884-0\nKim B, Son S, Min S et al (2014) Weakening of the stratospheric polar vortex by Arctic sea-ice loss. Nat Commun 5:4646. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fncomms5646\nLi X (1955) A study of cold waves in East Asia. Offprints of Scientific Works in Modern China-Meteorology (1919-1949). Science Press, Beijing, pp 35–117\nLiu Y, Wang L, Zhou W, Chen W (2014) Three Eurasian teleconnection patterns: spatial structures, temporal variability, and associated winter climate anomalies. Clim Dyn 42:2817–2839. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00382-014-2163-z\nLuo D, Chen X, Overland J, Simmonds I, Wu Y, Zhang P (2019a) Weakened potential vorticity barrier linked to recent winter Arctic sea ice loss and midlatitude cold extremes. J Clim 32:4235–4261. https:\u002F\u002Fdoi.org\u002F10.1175\u002FJCLI-D-18-0449.1\nLuo D, Zhang W, Zhong L, Dai A (2019b) A nonlinear theory of atmospheric blocking: a potential vorticity gradient view. J Atmos Sci 76:2399–2427. https:\u002F\u002Fdoi.org\u002F10.1175\u002FJAS-D-18-0324.1\nMori M, Kosaka Y, Watanabe M, Nakamura H, Kimoto M (2019a) A reconciled estimate of the influence of Arctic sea-ice loss on recent Eurasian cooling. Nat Clim Chang 9:123–129. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41558-018-0379-3\nMori M, Kosaka Y, Watanabe M, Taguchi B, Nakamura H, Kimoto M (2019b) Reply to: is sea-ice-driven Eurasian cooling too weak in models? Nat Clim Chang 9:937–939. https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41558-019-0636-0\nNakamura T, Yamazaki K, Sato T, Ukita J (2019) Memory effects of Eurasian land processes cause enhanced cooling in response to sea ice loss. 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Geophys Res Lett 37:L09707. https:\u002F\u002Fdoi.org\u002F10.1029\u002F2010GL042659\nWang L, Chen W (2014) The East Asian winter monsoon: re-amplification in the mid-2000s. Chin Sci Bull 59:430–436. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11434-013-0029-0\nWang Z, Ding Y (2006) Climate change of the cold wave frequency of China in the last 53 years and the possible reasons (in Chinese). Chin J Atmos Sci 30:1068–1076. https:\u002F\u002Fdoi.org\u002F10.3878\u002Fj.issn.1006-9895.2006.06.02\nWu B, Handorf D, Dethloff K, Rinke A, Hu A (2013) winter weather patterns over Northern Eurasia and arctic sea ice loss. Mon Weather Rev 141:3786–3800. https:\u002F\u002Fdoi.org\u002F10.1175\u002FMWR-D-13-00046.1\nYanai M, Esbensen S, Chu J (1973) Determination of bulk properties of tropical cloud clusters from large-scale heat and moisture budgets. J Atmos Sci 30:611–627. https:\u002F\u002Fdoi.org\u002F10.1175\u002F1520-0469(1973)030\u003C0611:DOBPOT>2.0.CO;2\nYang X, Zeng G, Zhang G, Li Z (2020) Interdecadal variation of winter cold surge path in East Asia and its relationship with Arctic sea ice. J Clim 33(11):4907–4925. https:\u002F\u002Fdoi.org\u002F10.1175\u002FJCLI-D-19-0751.1\nZhang P, Wu Y, Simpson I, Smith K, Zhang X, De B, Callaghan P (2018) A stratospheric pathway linking a colder Siberia to Barents-Kara Sea sea ice loss. Sci Adv 4(7):eaat6025. https:\u002F\u002Fdoi.org\u002F10.1126\u002Fsciadv.aat6025\nZhou B, Gu L, Ding Y, Shao L, Wu Z, Yang X, Li C, Li Z, Wang X, Cao Y, Zeng B, Yu M, Wang M, Wang S, Sun H, Duan A, An Y, Wang X, Kong W (2011) The great 2008 Chinese ice storm: Its socioeconomic–ecological impact and sustainability lessons learned. Bull Amer Meteor Soc 92:47–60. https:\u002F\u002Fdoi.org\u002F10.1175\u002F2010BAMS2857.1",{"VOID":1728},"10.1007\u002Fs00704-021-03545-9","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs00704-021-03545-9",[1731,1746,1759,1772],{"id":1732,"sortIndex":32,"researcher":28,"roles":1733,"affiliations":1734,"properties":1743,"displayName":1745,"givenName":28,"familyName":28},"a1a6f286-0ce7-40b6-84c9-a5500a86b07a",[1045],[1735],{"id":1736,"sortIndex":32,"affiliation":1737,"properties":28},"25a25ebf-4695-44ba-84b1-f9b61672784d",{"id":1736,"createTime":28,"updateTime":28,"relativeEntities":1738,"slug":28,"properties":1739,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1742,"statistic":28},[],{"title":1740},{"VI":1741},"Key Laboratory of Meteorological Disaster of Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, China",[],{"title":1744},{"VI":1745},"Xiaoye Yang",{"id":1747,"sortIndex":40,"researcher":28,"roles":1748,"affiliations":1749,"properties":1756,"displayName":1758,"givenName":28,"familyName":28},"a384ac9b-fefc-4276-86f1-bcd988afcc34",[1045],[1750],{"id":1736,"sortIndex":32,"affiliation":1751,"properties":28},{"id":1736,"createTime":28,"updateTime":28,"relativeEntities":1752,"slug":28,"properties":1753,"entityType":28,"verifyStatus":28,"verifyTime":28,"verifyNote":28,"languages":28,"translateLanguages":28,"viewCount":28,"url":28,"parentIds":1755,"statistic":28},[],{"title":1754},{"VI":1741},[],{"title":1757},{"VI":1758},"Gang 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mountain regions, important differences in the time trends of climate series can be detected even within relatively small areas, leading to uncertainty when assessing climate change. The paper deals with a structured algorithm for high-resolution downscaling of climate characterisation in a region (precipitation and temperature), leading to a twofold application: increasing spatial resolution of past climate definition for the area and attaining high-resolution downscaling for climate projections. In the first stage, multi-variate analysis (‘partial least squares’ regression) was applied to a number of time series (10) in order to obtain climate averages for a larger number of sites. Predictions made with single-site values (such as seasonal means) can in some cases be improved by applying ‘random perturbation’ of the value and averaging single predictions in the ensemble. This analysis laid the foundation for implementing the same technique to the output of statistical downscaling of multi-model climate projections. Climate shift in the study area (Trentino), located in the north-eastern Italian Alps, was simulated for two 30-year time windows: 2021–2050 and 2071–2099. Progressive warming is predicted, being stronger in the summer, along with a mixed, seasonally differentiated trend for precipitation.",{"EN":1847},"Increasing resolution of climate assessment and projection of temperature and precipitation in an alpine area",{"VOID":1849},"Auer I, Böhm R, Schöner W (2001) Austrian long-term climate 1767-2000. Multiple instrumental climate time series from Central Europe. Zentralanstalt für Meteorologie und Geodynamik (ZAMG), Publ.Nr. 395. ISSN 1016-6254. Vienna\nBegert M, Schlegel T, Kirchhofer W (2005) Homogeneous temperature and precipitation series of Switzerland from 1864 to 2000. Int J Climatol 25(1):65–80\nBellin A, Zardi D (2004) Analisi climatologica di serie storiche delle precipitazioni e temperature in Trentino. Quaderni di idronomia montana n. 23. Provincia Autonoma di Trento\nBohm R et al (2001) Regional temperature variability in the European Alps: 1760-1998 from homogenized instrumental time series. Int J Climatol 21(14):1779–1801\nBrugnara Y, Brunetti M, Maugeri M, Nanni T, Simolo C (2011) High-resolution analysis of daily precipitation trends in the central Alps over the last century. Int J Climatol. doi:10.1002\u002Fjoc.2363\nBrunetti M et al (2009a) Climate variability and change in the Greater Alpine Region over the last two centuries based on multi-variable analysis. Int J Climatol 29(15):2197–2225\nBrunetti M, Lentini G, Maugeri M, Nanni T, Simolo C, Spinoni J (2009b) Estimating local records for Northern and Central Italy from a sparse secular temperature network and from 1961–1990 climatologies. Adv Sci Res 3:63–71\nBrunetti M, Lentini G, Maugeri M, Nanni T, Simolo C, Spinoni J (2009c) 1961-1990 high-resolution Northern and Central Italy monthly precipitation climatologies. Adv Sci Res 3:73–78\nCacciamani C, Nanni S, Tibaldi S (1994) Mesoclimatology of winter temperature and precipitation in the Po Valley of Northern Italy. Int J Climatol 14:777–814\nCiccarelli N et al (2008) Climate variability in north-western Italy during the second half of the 20th century. Glob Planet Chang 63(2–3):185–195\nDi Piazza A, Eccel E (2012) Analisi di serie giornaliere di temperatura e precipitazione in Trentino nel periodo 1958-2010. Provincia Autonoma di Trento and Fondazione E. Mach, Trento\nDi Piazza A, Lo Conti F, Noto LV, Viola F, La Loggia G (2011) Comparative analysis of different techniques for spatial interpolation of rainfall data to create a serially complete monthly time series of precipitation for Sicily, Italy. International Journal of Applied Earth Observation and Geoinformation 13(3):396–408\nEccel E, Saibanti S (2007) Inquadramento climatico dell’Altopiano di Lavarone-Vezzena nel contesto generale trentino. Studi Trentini di Scienze Naturali, Acta Biol 82:111–121\nEccel E, Cau P, Ranzi R (2012) Data reconstruction and homogenization for reducing uncertainties in high-resolution climate analysis in Alpine regions. Theor Appl Climatol 32:503–517. doi:10.1007\u002Fs00704-012-0624-z\nFaggian P, Giorgi F (2009) An analysis of global model projections over Italy, with particular attention to the Italian Greater Alpine Region (GAR). Clim Chang 96:239–258. doi:10.1007\u002Fs10584-009-9584-4\nFeng S, Hub Q, Huang W, Ho CH, Li R, Tang Z (2014) Projected climate regime shift under future global warming from multi-model, multi-scenario CMIP5 simulations. Glob Planet Chang 112:41–52\nFischer AM, Weigel AP, Buser CM, Knutti R, Künsch HR, Liniger MA, Schär C, Appenzeller C (2012) Climate change projections for Switzerland based on a Bayesian multi-model approach. Int J Climatol 32:2348–2371. doi:10.1002\u002Fjoc.3396\nFowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modelling to impact studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 27:1547–1578\nHaylock MR et al (2008) A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. J Geophys Res-Atmos 113(D20)\nMaraun D, Wetterhall F, Ireson AM, Chandler RE, Kendon EJ, Widmann M, Brienen S, Rust HW, Sauter T, Themessl M, Venema VKC, Chun KP, Goodess CM, Jones RG, Onof C, Vrac M, Thiele-Eich I (2010) Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Rev Geophys 48, RG3003. doi:10.1029\u002F2009RG000314\nMartens H, Naes T (1989) Multivariate calibration. J. Wiley, UK\nMevik BK, Wehrens R (2007) The pls package: principal component and partial least squares regression in R. J Stat Softw 18(2)\nMitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Climatol 25:693–712\nNew M, Hulme M, Jones PD (1999) Representing twentieth-century space–time climate variability. Part I: development of a 1961–90 mean monthly terrestrial climatology. J Climate 12:829–856\nNew M, Hulme M, Jones P (2000) Representing twentieth-century space–time climate variability. Part II: development of 1901–96 monthly grids of terrestrial surface climate. J Clim 13(13):2217–2238\nR Development Core Team (2008) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0 URL http:\u002F\u002Fwww.R-project.org (Accessed 11th Dec 2012)\nSansom J, Tait A (2004) Estimation of long-term climate information at locations with short-term data records. J Appl Meteorol 43(6):915–923\nSimolo C, Brunetti M, Maugeri M, Nanni T (2010) Improving estimation of missing values in daily precipitation series by a probability density function-preserving approach. Int J Climatol 30(10):1564–1576\nSoncini A, Bocchiola D (2011) Assessment of future snowfall regimes within the Italian Alps using general circulation models. Cold Reg Sci Technol 68(3):113–123\nTomozeiu R, Agrillo G, Cacciamani C, Pavan V (2013a) Statistically downscaled climate change projections of surface temperature over Northern Italy for the periods 2021-2050 and 2071-2099. Nat Hazards. doi:10.1007\u002Fs11069-013-0552-y\nTomozeiu R., Cacciamani C., Botarelli L., Pasqui M., S.Quaresima (2013b) Climate change scenarios of minimum, maximum temperature and precipitation over Italian areas, period 2021-2050. Proceedings of the First Annual Conference: “Climate change and its implications on ecosystem and society” Lecce, 23-24 September 2013, ISBN 978 – 88 – 97666 – 08 – 0, pp. 496-506\nToreti A, Desiato F, Fioravanti G, Perconti W (2010) Seasonal temperatures over Italy and their relationship with low-frequency atmospheric circulation patterns. Clim Chang 99:211–227\nvan der Linden P, Mitchell JFB (2009) ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, Exeter\nVon Storch H (1995) Spatial patterns: EOFs and CCA. In: von Storch H & Navarra A (eds) Analysis of climate variability. Application of statistical techniques. Springer, p 227–258\nWilks DS (2006) Statistical methods in the atmospheric sciences, 2nd Ed. International Geophysics Series, vol 59. 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