A cloud optical and microphysical property product for the advanced geosynchronous radiation imager onboard China's Fengyun-4 satellites: The first version

Atmospheric and Oceanic Science Letters - Tập 16 - Trang 100337 - 2023
Chao Liu1,2, Yuxing Song1,2, Ganning Zhou3, Shiwen Teng4, Bo Li2, Na Xu2, Feng Lu2, Peng Zhang2
1Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/China Meteorological Administration Aerosol-Cloud-Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, China
2Innovation Center for FengYun Meteorological Satellite (FYSIC), National Satellite Meteorological Center (National Center for Space Weather), Beijing, China
3Jiangsu Yangzhou Meteorological Bureau, Yangzhou, China
4College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China

Tài liệu tham khảo

Baker, 2008, Small-scale cloud processes and climate, Nature, 451, 299, 10.1038/nature06594 Bessho, 2016, An introduction to Himawari-8/9-Japan's new-generation geostationary meteorological satellites, J. Meteorol. Soc. Jpn., 94, 151, 10.2151/jmsj.2016-009 Heymsfield, 2018, Toward improving ice water content and snow-rate retrievals from radars. Part II: results from three wavelength radar-collocated in situ measurements and cloudSat-GPM-TRMM radar data, J. Appl. Meteorol. Clim., 57, 365, 10.1175/JAMC-D-17-0164.1 Lai, 2019, Comparison of cloud properties from Himawari-8 and FengYun-4A geostationary satellite radiometers with MODIS cloud retrievals, Remote Sens., 11, 10.3390/rs11141703 Lenaerts, 2017, Polar clouds and radiation in satellite observations, reanalyses, and climate models, Geophys. Res. Lett., 44, 3355, 10.1002/2016GL072242 Letu, 2020, High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite, Remote Sens. Environ., 239, 111583, 10.1016/j.rse.2019.111583 Liu, 2014, A two-habit model for the microphysical and optical properties of ice clouds, Atmos. Chem. Phys., 14, 13719, 10.5194/acp-14-13719-2014 Liu, 2021, A machine learning-based cloud detection algorithm for the Himawari-8 spectral image, Adv. Atmos. Sci., 39, 1994, 10.1007/s00376-021-0366-x Marquardt, 1963, An algorithm for least-squares estimation of nonlinear parameters, J. Soc. Indust. Appl. Math., 11, 431, 10.1137/0111030 Min, 2017, Developing the science product algorithm testbed for Chinese next-generation geostationary meteorological satellites: Fengyun-4 series, J. Meteorol. Res., 31, 708, 10.1007/s13351-017-6161-z Nakajima, 1990, Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part I: theory, J. Atmos. Sci., 47, 1878, 10.1175/1520-0469(1990)047<1878:DOTOTA>2.0.CO;2 Platnick, 2017, The MODIS cloud optical and microphysical products: collection 6 updates and examples from terra and aqua, IEEE Trans. Geosci. Electron., 55, 502, 10.1109/TGRS.2016.2610522 Rodgers, 2000, 240 Schmit, 2005, Introducing the next-generation Advanced Baseline Imager on GOES-R, Bull. Am. Meteorol. Soc., 86, 1079, 10.1175/BAMS-86-8-1079 Stamnes, 1988, Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media, Appl. Opt., 27, 2502, 10.1364/AO.27.002502 Stowe, 1989, Nimbus-7 global cloud climatology. Part II: First year results, J. Clim., 2, 671, 10.1175/1520-0442(1989)002<0671:NGCCPI>2.0.CO;2 Vaughan, 2005, CALIOP algorithm theoretical basis document, part 2: Feature detection and layer properties algorithms. No. PC-SCI-202 Part 2, Release 1.01 Wang, 2021, An algorithm for retrieving cloud top height cased on geostationary satellite data of Fengyun-4, J. Sichuan Norm. Univ. (Nat. Sci.), 44, 412 Wang, 2018, Effects and applications of satellite radiometer 2.25-µm channel on cloud property retrievals, IEEE Trans. Geos. Remote Sen., 56, 5207, 10.1109/TGRS.2018.2812082 Wang, 2019, Intercomparisons of cloud mask products among Fengyun-4A, Himawari-8, and MODIS, IEEE Trans. Geos. Remote Sen., 57, 8827, 10.1109/TGRS.2019.2923247 Wang, 2007, 50 Yang, 2017, Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4, Bull. Am. Meteorol. Soc., 98, 1637, 10.1175/BAMS-D-16-0065.1 Yang, 2015, On the radiative properties of ice clouds: light scattering, remote sensing, and radiation parameterization, Adv. Atmos. Sci., 32, 32, 10.1007/s00376-014-0011-z Yao, 2020, An. accurate and efficient radiative transfer model for simulating all-sky images from Fengyun satellite radiometers, Sci. China: Earth Sci., 63, 1701, 10.1007/s11430-020-9617-9 Zhang, 2019, General comparison of FY-4A/AGRI with other GEO/LEO instruments and its potential and challenges in non-meteorological applications, Front. Earth Sci., 6, 224, 10.3389/feart.2018.00224