CARE product： cloud microphysics and shortwave radiation forcing algorithms and applications

MA Run; HUSI Letu

doi:10.11834/jrs.20232450

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CARE product： cloud microphysics and shortwave radiation forcing algorithms and applications
Pages: 1-13(2023)
Published Online： 03 March 2023 ，
DOI： 10.11834/jrs.20232450

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马润，胡斯勒图.XXXX.CARE产品：云微物理和短波辐射强迫算法及应用.遥感学报，XX（XX）： 1-13

MA Run，HUSI Letu. XXXX. CARE product： cloud microphysics and shortwave radiation forcing algorithms and applications. National Remote Sensing Bulletin， XX（XX）：1-13
马润，胡斯勒图.XXXX.CARE产品：云微物理和短波辐射强迫算法及应用.遥感学报，XX（XX）： 1-13 DOI： 10.11834/jrs.20232450.

MA Run，HUSI Letu. XXXX. CARE product： cloud microphysics and shortwave radiation forcing algorithms and applications. National Remote Sensing Bulletin， XX（XX）：1-13 DOI： 10.11834/jrs.20232450.

摘要

云微物理参数的准确获取对辐射收支计算具有重要的研究意义。本研究首先基于新一代静止气象卫星葵花-8（Himawari-8）数据，结合辐射传输理论与最优化方法反演获得了水云和冰云的光学厚度和粒子有效半径，并将反演结果与MODIS二级云产品进行了对比，发现两者具有较好的一致性。之后，利用反演获得的云光学厚度和粒子有效半径进一步计算获得了地表和大气层顶的短波辐射强迫，并将结果与CERES三级辐射产品进行了对比，发现本研究计算得到的结果与CERES产品均具有较高的相关性，地表和大气层顶短波辐射强迫相关系数R分别高达0.97和0.98，均方根误差RMSE分别为15 Wm

-2

和15.6Wm

-2

，表明具有较高的精度。本文在以往地表短波辐射估算研究基础上，首次将非球形冰晶模型Voronoi拓展至卫星的地表以及大气层顶短波辐射强迫的估算，并通过CERES辐射产品证实了其有效性，该研究可为后续完整辐射收支（短波、长波）估算提供重要参考。相关产品详见CARE主页（

http：//www.slrss.cn/care/

http://www.slrss.cn/care/

）。

Abstract

The accurate acquisition of cloud microphysical parameters

cloud optical thickness (COT) and cloud effective radius (CER)

is of great significance to the calculation of surface or top-of-atmosphere (TOA) radiation budget. However

most of the studies consider little about the cloud phase. Even if the cloud phase state is considered

the ice cloud is assumed to be spherical

which brings errors to the subsequent radiation calculation. In addition

few studies focus on cloud shortwave radiation forcing (SWRF) from satellites

but on downward shortwave radiation at the surface. To solve above problems

this study proposes methods for retrieving COT and CER for water and ice clouds as well as estimation of SWRF from the Himawari-8 satellite.In this study

we proposed a novel method for retrieval of COT and CER for water and ice clouds from the new-generation geostationary satellite Himawari-8 measurements

based on the radiative transfer theory and optimal method. The irregularly shaped model named Voronoi

which was widely used in Japan Aerospace Exploration Agency (JAXA) satellite missions like Himawari-8

GCOMC-C

etc.

was used in our ice cloud model. In addition

a method for estimation of SWRF at the surface and the TOA was proposed

based on the look-up-table (calculated by the radiative transfer model - RSTAT) method

as inputs of retrieved COT and CER above. Finally

validation of retrieved COT and CER from Himawari-8 in this study was performed with Moderate-resolution Imaging Spectroradiometer (MODIS) collection-6 (C6) cloud product

as well as estimated SWRF from Himawari-8 by this study with Clouds and the Earth’s Radiant Energy System (CERES) level-3 (L3) SYN product

respectively.Validation with MODIS C6 cloud product for 4 days in different seasons (2016-01-01

2016-04-01

2016-07-01

2016-10-01) shows that our retrieved COT and CER for water and ice clouds from Himawari-8 have a good agreement with MODIS product

with correlation coefficient (R) values of COT of 0.68 and 0.77

respectively. While for CER

due to the different ice cloud model used in MODIS and this study show a lower R value. While for validation of SWRF with the CERES L3 SYN product

estimated SWRF at the surface and the TOA by this study show very good agreement

with R values of 0.97 and 0.98

root-mean-square-error (RMSE) values of 15.0 Wm

-2

and 16.6 Wm

-2

. While

mean-bias-error (MBE) values of -5.6 Wm

-2

and -8.5 Wm

-2

indict that our SWRF results have a slightly under-estimation.Our proposed methods for retrieving COT and CER

as well as SWRF at the surface and the TOA from Himawari-8 are effective. Although our ice cloud model (Voronoi) is different with MODIS

the finial SWRF validation still shows that our cloud products have high accuracy in other aspects. This research can provide important reference for the subsequent full radiation budget (shortwave plus longwave) estimation. Detailed products please see our homepage (

http://www.slrss.cn/care_zh/

).Objective:Method：Result：Conclusion

关键词

Himawari-8云光学厚度云粒子有效半径短波辐射强迫

Keywords

Himawari-8cloud optical thicknesscloud effective radiusshortwave radiation forcing

references

Aler R, Galván I M, Ruiz-Arias J A and Gueymard C A . 2017. Improving the separation of direct and diffuse solar radiation components using machine learning by gradient boosting. Solar Energy, 150: 558 - 569. [DOI: 10.1016/j.solener.2017.05.018http://dx.doi.org/10.1016/j.solener.2017.05.018 ]

Bessho K, Date K, Hayashi M, Ikeda A, Imai T, Inoue H, Kumagai Y, Miyakawa T, Murata H, Ohno T, Okuyama A, Oyama R, Sasaki Y, Shimazu Y, Shimoji K, Sumida Y, Suzuki M, Taniguchi H, Tsuchiyama H, Uesawa D, Yokota H and Yoshida R . 2016. An Introduction to Himawari-8/9—Japan’s New-Generation Geostationary Meteorological Satellites. Journal of the Meteorological Society of Japan. Ser. II, 94(2): 151-183. [DOI: 10.2151/jmsj.2016-009http://dx.doi.org/10.2151/jmsj.2016-009 ]

Cess R D, Jiang F, Dutton E G and Deluisi J J . 1991. Determining Surface Solar Absorption from Broadband Satellite Measurements for Clear Skies: Comparison with Surface Measurements. Journal of Climate, 4(2). [DOI: 10.1175/1520-0442(1991)004<0236:DSSAFB>2.0.CO;2http://dx.doi.org/10.1175/1520-0442(1991)004<0236:DSSAFB>2.0.CO;2 ]

Chou M D, Ji G L, Liou K N and Ou S C S . 1992. Calculations of Surface Radiation in Arid Regions—A Case Study. Journal of Applied Meteorology, 31(9): 1084-1095. [DOI: 10.1175/1520-0450(1992)0312.0.CO;2http://dx.doi.org/10.1175/1520-0450(1992)0312.0.CO;2 ]

Fan J L, Wu L F, Zhang F C, Cai H J, Zeng W Z, Wang X K and Zou H Y . 2019. Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China. Renewable and Sustainable Energy Reviews, 100(C): 186-212. [DOI: 10.1016/j.rser.2018.10.018http://dx.doi.org/10.1016/j.rser.2018.10.018 ]

Forster P, Storelvmo T, Armour K, Collins W, Dufresne J L, Frame D, Lunt D J, Mauritsen T, Palmer M D, Watanabe M, Wild M and Zhang H , 2021. The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity. Cambridge University Press, 923-1054 [2022-08-01]. https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter07.pdfhttps://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter07.pdf

Gautier C and Frouin R . 1992. Net Surface Solar Irradiance Variability in the Central Equatorial Pacific during 1982–1985. Journal of Climate, 5(1): 30-55. [DOI: 10.1175/1520-0442(1992)005<0030:Nssivi>2.0.Co;2http://dx.doi.org/10.1175/1520-0442(1992)005<0030:Nssivi>2.0.Co;2 ]

Illingworth A J, Barker H W, Beljaars A, Ceccaldi M, Chepfer H, Clerbaux N, Cole J, Delanoe J, Domenech C, Donovan D P, Fukuda S, Hirakata M, Hogan R J, Huenerbein A, Kollias P, Kubota T, Nakajima T, Nakajima T Y, Nishizawa T, Ohno Y, Okamoto H, Oki R, Sato K, Satoh M, Shephard M W, Velazquez A, Wandinger U, Wehr T and van Zadelhoff G J . 2015. The EarthCARE Satellite: The Next Step Forward in Global Measurements of Clouds, Aerosols, Precipitation, and Radiation. Bulletin of the American Meteorological Society, 96(8): 1311-1332. [DOI: 10.1175/BAMS-D-12-00227.1http://dx.doi.org/10.1175/BAMS-D-12-00227.1 ]

Ishimoto H, Masuda K, Mano Y, Orikasa N and Uchiyama A . 2012. Irregularly shaped ice aggregates in optical modeling of convectively generated ice clouds. Journal of Quantitative Spectroscopy and Radiative Transfer, 113(8): 632 - 643. [DOI: 10.1016/j.jqsrt.2012.01.017http://dx.doi.org/10.1016/j.jqsrt.2012.01.017 ]

Jia H L, Ma X Y, Yu F Q and Quaas J . 2021. Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods. Nature Communications, 12(1): 3649. [DOI: 10.1038/s41467-021-23888-1http://dx.doi.org/10.1038/s41467-021-23888-1 ]

Kawamoto K, Nakajima T and Nakajima T Y . 2001. A Global Determination of Cloud Microphysics with AVHRR Remote Sensing. Journal of Climate, 14(9): 2054-2068. [DOI: 10.1175/1520-0442(2001)014<2054:AGDOCM>2.0.CO;2http://dx.doi.org/10.1175/1520-0442(2001)014<2054:AGDOCM>2.0.CO;2 ]

Kikuchi N, Nakajima T, Kumagai H, Kuroiwa H, Kamei A, Nakamura R and Nakajima T Y . 2006. Cloud optical thickness and effective particle radius derived from transmitted solar radiation measurements: Comparison with cloud radar observations. Journal of Geophysical Research: Atmospheres, 111(D07205): 1-10. [DOI: 10.1029/2005JD006363http://dx.doi.org/10.1029/2005JD006363 ]

King M D . 1987. Determination of the Scaled Optical Thickness of Clouds from Reflected Solar Radiation Measurements. Journal of the Atmospheric Sciences, 44(13): 1734-1751. [DOI: 10.1175/1520-0469(1987)0442.0.CO;2http://dx.doi.org/10.1175/1520-0469(1987)0442.0.CO;2 ]

Letu H, Ishimoto H, Riedi J, Nakajima T Y, Labonnote L, Baran A J, Nagao T M and Sekiguchi M . 2016. Investigation of ice particle habits to be used for ice cloud remote sensing for the GCOM-C satellite mission. Atmospheric Chemistry and Physics, 16(18): 12287-12303. [DOI: 10.5194/acp-16-12287-2016http://dx.doi.org/10.5194/acp-16-12287-2016 ]

Letu H, Nagao T M, Nakajima T Y, Riedi J, Ishimoto H, Baran A J, Shang H Z, Sekiguchi M and Kikuchi M . 2019. Ice Cloud Properties From Himawari-8/AHI Next-Generation Geostationary Satellite: Capability of the AHI to Monitor the DC Cloud Generation Process. IEEE Transactions on Geoscience and Remote Sensing, 57(6): 11. [DOI: 10.1109/TGRS.2018.2882803http://dx.doi.org/10.1109/TGRS.2018.2882803 ]

Letu H, Nakajima T Y, Wang T X, Shang H Z, Ma R, Yang K, Baran A J, Riedi J, Ishimoto H, Yoshida M, Shi C, Khatri P, Du Y H, Chen L F and Shi J C . 2021. A new benchmark for surface radiation products over the East Asia-Pacific region retrieved from the Himawari-8/AHI next-generation geostationary satellite. Bulletin of the American Meteorological Society: 103(3): E873-E888. [DOI: 10.1175/BAMS-D-20-0148.1http://dx.doi.org/10.1175/BAMS-D-20-0148.1 ]

Letu H, Yang K, Nakajima T Y, Ishimoto H, Nagao T M, Riedi J, Baran A J., Ma R, Wang T X, Shang H Z, Khatri P, Chen L F, Shi C X and Shi J C . 2020. High-resolution retrieval of cloud microphysical properties and surface solar radiation using Himawari-8/AHI next-generation geostationary satellite. Remote Sensing of Environment, 239(15): 111583. [DOI: 10.1016/j.rse.2019.111583http://dx.doi.org/10.1016/j.rse.2019.111583 ]

Li M, Letu H, Peng Y R, Ishimoto H, Lin Y L, Nakajima T Y, Baran A J, Guo Z Y, Lei Y H and Shi J C . 2022. Investigation of ice cloud modeling capabilities for the irregularly shaped Voronoi ice scattering models in climate simulations. Atmospheric Chemistry and Physics, 22(7): 4809–4825. [DOI: 10.5194/acp-22-4809-2022http://dx.doi.org/10.5194/acp-22-4809-2022 ]

Ma R, Husi L T, Shang H Z, A’na R, He J, Han X and Wang Z M . 2019. Estimation of downward surface shortwave radiation from Himawari-8 atmospheric products. Journal of Remote Sensing, 23(5): 924–934.

马润, 胡斯勒图, 尚华哲, 阿娜日, 赫杰, 韩旭, 王子明 . 2019. 基于葵花-8卫星大气产品的地表下行短波辐射计算. 遥感学报, 23(5): 924–934 [DOI:10.11834/jrs.20198033http://dx.doi.org/10.11834/jrs.20198033 ]

Ma R, Letu H, Yang K, Wang T X, Shi C, Xu J, Shi J C, Shi C X and Chen L F . 2020. Estimation of Surface Shortwave Radiation From Himawari-8 Satellite Data Based on a Combination of Radiative Transfer and Deep Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 58(4): 5304-5316. [DOI: 10.1109/TGRS.2019.2963262http://dx.doi.org/10.1109/TGRS.2019.2963262 ]

Nakajima T and Tanaka M . 1986. Matrix formulations for the transfer of solar radiation in a plane-parallel scattering atmosphere. Journal of Quantitative Spectroscopy and Radiative Transfer, 35(1) 13 - 21. [DOI: 10.1016/0022-4073(86)90088-9http://dx.doi.org/10.1016/0022-4073(86)90088-9 ]

Nakajima T and Tanaka M . 1988. Algorithms for radiative intensity calculations in moderately thick atmospheres using a truncation approximation. Journal of Quantitative Spectroscopy and Radiative Transfer, 40(1): 51 - 69. [DOI: 10.1016/0022-4073(88)90031-3http://dx.doi.org/10.1016/0022-4073(88)90031-3 ]

Nakajima T Y, Ishida H, Nagao T M, Hori M, Letu H, Higuchi R, Tamaru N, Imoto N and Yamazaki A . 2019. Theoretical basis of the algorithms and early phase results of the GCOM-C (Shikisai) SGLI cloud products. Progress in Earth and Planetary Science, 6(1): 52. [DOI: 10.1186/s40645-019-0295-9http://dx.doi.org/10.1186/s40645-019-0295-9 ]

Nakajima T Y and Nakajima T . 1995. Wide-Area Determination of Cloud Microphysical Properties from NOAA AVHRR Measurements for FIRE and ASTEX Regions. Journal of the Atmospheric Sciences, 52(23): 4043-4059. [DOI: 10.1175/1520-0469(1995)052<4043:WADOCM>2.0.CO;2http://dx.doi.org/10.1175/1520-0469(1995)052<4043:WADOCM>2.0.CO;2 ]

Nakajima T Y, Suzuki K and Stephens G L . 2010a. Droplet Growth in Warm Water Clouds Observed by the A-Train. Part I: Sensitivity Analysis of the MODIS-Derived Cloud Droplet Sizes. Journal of the Atmospheric Sciences, 67(6): 1884-1896. [DOI: 10.1175/2009JAS3280.1http://dx.doi.org/10.1175/2009JAS3280.1 ]

Nakajima T Y, Suzuki K and Stephens G L . 2010b. Droplet Growth in Warm Water Clouds Observed by the A-Train. Part II: A Multisensor View. Journal of the Atmospheric Sciences, 67(6): 1897-1907. [DOI: 10.1175/2010JAS3276.1http://dx.doi.org/10.1175/2010JAS3276.1 ]

Nakajima T and King M D . 1990. Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part I: Theory. Journal of the Atmospheric Sciences, 47(15): 1878-1893. [DOI: 10.1175/1520-0469(1990)047<1878:DOTOTA>2.0.CO;2http://dx.doi.org/10.1175/1520-0469(1990)047<1878:DOTOTA>2.0.CO;2 ]

Nakajima T and King M D, Spinhirne J D, Radke L F . 1991. Determination of the Optical Thickness and Effective Particle Radius of Clouds from Reflected Solar Radiation Measurements. Part II: Marine Stratocumulus Observations. Journal of the Atmospheric Sciences, 48(5): 728-751. [DOI: 10.1175/1520-0469(1991)048<0728:DOTOTA>2.0.CO;2http://dx.doi.org/10.1175/1520-0469(1991)048<0728:DOTOTA>2.0.CO;2 ]

Norris J R, Allen R J, Evan A T, Zelinka M D, Dell C W and Klein S A . 2016. Evidence for climate change in the satellite cloud record. Nature, 536: 72-75. [DOI: 10.1038/nature18273http://dx.doi.org/10.1038/nature18273 ]

Peng Z, Letu H, Wang T X, Shi C, Zhao C F, Tana G, Zhao N Z, Dai T, Tang R L, Shang H Z, Shi J C and Chen L F . 2020. Estimation of shortwave solar radiation using the artificial neural network from Himawari-8 satellite imagery over China. Journal of Quantitative Spectroscopy and Radiative Transfer, 240: 106672. [DOI: 10.1016/j.jqsrt.2019.106672http://dx.doi.org/10.1016/j.jqsrt.2019.106672 ]

Pinker R T and Ewing J A . 1985. Modeling Surface Solar Radiation: Model Formulation and Validation. Journal of Climate and Applied Meteorology, 24: 389-401. [DOI: 10.1175/1520-0450(1985)024<0389:MSSRMF>2.0.CO;2http://dx.doi.org/10.1175/1520-0450(1985)024<0389:MSSRMF>2.0.CO;2 ]

Platnick S, Meyer K G, King M D, Wind G, Amarasinghe N, Marchant B, Arnold G T, Zhang Z B, Hubanks P A, Holz R E, Yang P, Ridgway W L and Riedi J . 2017. The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua. IEEE Transactions on Geoscience and Remote Sensing, 55(1): 502-525. [DOI: 10.1109/TGRS.2016.2610522http://dx.doi.org/10.1109/TGRS.2016.2610522 ]

Qin J, Tang W J, Yang K, Lu N, Niu X L and Liang S L . 2015. An efficient physically based parameterization to derive surface solar irradiance based on satellite atmospheric products. Journal of Geophysical Research: Atmospheres, 120(10): 4975-4988. [DOI: 10.1002/2015JD023097http://dx.doi.org/10.1002/2015JD023097 ]

Rodgers Clive D . Inverse Methods for Atmospheric Sounding. 2000. World Scientific. [ISBN: 9789810227401]

Sekiguchi M and Nakajima T . 2008. A k-distribution-based radiation code and its computational optimization for an atmospheric general circulation model. Journal of Quantitative Spectroscopy and Radiative Transfer, 109(17): 2779-2793. [DOI: 10.1016/j.jqsrt.2008.07.013http://dx.doi.org/10.1016/j.jqsrt.2008.07.013 ]

Shang H Z, Chen L F, Letu H, Zhao M, Li S S and Bao S H . 2017. Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China: Detection of Haze and Clouds From AHI. Journal of Geophysical Research: Atmospheres, 122(6): 3528-3543. [DOI: 10.1002/2016JD025659http://dx.doi.org/10.1002/2016JD025659 ]

Shang H Z, Letu H, Chen L F, Riedi J, Ma R, Wei L S, Labonnote L C, Hioki S, Liu C, Wang Z T and Wang J J . 2020. Cloud thermodynamic phase detection using a directional polarimetric camera (DPC). Journal of Quantitative Spectroscopy and Radiative Transfer, 253: 107179. [DOI: 10.1016/j.jqsrt.2020.107179http://dx.doi.org/10.1016/j.jqsrt.2020.107179 ]

Stanfield R E, Dong X Q, Xi B K, Del G A D, Minnis P, Doelling D and Loeb N . 2015. Assessment of NASA GISS CMIP5 and Post-CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations. Part II: TOA Radiation Budget and CREs. Journal of Climate, 28(5): 1842-1864. [DOI: 10.1175/JCLI-D-14-00249.1http://dx.doi.org/10.1175/JCLI-D-14-00249.1 ]

Takenaka H, Nakajima T Y, Higurashi A, Higuchi A, Takamura T, Pinker R T and Nakajima T . 2011. Estimation of solar radiation using a neural network based on radiative transfer. Journal of Geophysical Research: Atmospheres, 116. [DOI: 10.1029/2009JD013337http://dx.doi.org/10.1029/2009JD013337 ]

Tang W, Qin J, Yang K, Liu S M, Lu N and Niu X L . 2016. Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data. Atmospheric Chemistry and Physics, 16(4): 2543-2557. [DOI 10.5194/acp-16-2543-2016http://dx.doi.org/10.5194/acp-16-2543-2016 ]

Wang T X, Shi J C, Ma Y, Letu H and Li X C . 2020. All-sky longwave downward radiation from satellite measurements: General parameterizations based on LST, column water vapor and cloud top temperature. ISPRS Journal of Photogrammetry and Remote Sensing, 161: 52-60. [DOI: 10.1016/j.isprsjprs.2020.01.011http://dx.doi.org/10.1016/j.isprsjprs.2020.01.011 ]

Yang P, Bi L, Baum B A, Liou K N, Kattawar G W, Mishchenko M I and Cole B . 2013. Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 μm. Journal of the Atmospheric Sciences, 70(1): 330-347. [DOI: 10.1175/JAS-D-12-039.1http://dx.doi.org/10.1175/JAS-D-12-039.1 ]

Yu Y C, Shi J C, Wang T X, Letu H and Zhao C J . 2021. All-sky total and direct surface Shortwave Downward Radiation (SWDR) estimation from satellite: Applications to MODIS and Himawari-8. International Journal of Applied Earth Observation and Geoinformation, 102: 102380. [DOI: 10.1016/j.jag.2021.102380http://dx.doi.org/10.1016/j.jag.2021.102380 ]

Zhang H L, Huang C, Yu S S, Li L, Xin X Z and Liu Q H . 2018. A Lookup-Table-Based Approach to Estimating Surface Solar Irradiance from Geostationary and Polar-Orbiting Satellite Data. Remote Sensing, 10(3):411. [DOI: 10.3390/rs10030411http://dx.doi.org/10.3390/rs10030411 ]

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