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| 1 | A review of the estimation of downward surface shortwave radiation based on satellite data:Methods, progress and problems显示文摘The estimation of downward surface shortwave radiation(DSSR)is important for the Earth’s energy budget and climate change studies.This review was organised from the perspectives of satellite sensors,algorithms and future trends,retrospects and summaries of the satellite-based retrieval methods of DSSR that have been developed over the past 10 years.The shortwave radiation reaching the Earth’s surface is affected by both atmospheric and land surface parameters.In recent years,studies have given detailed considerations to the factors which affect DSSR.It is important to improve the retrieval accuracy of cloud microphysical parameters and aerosols and to reduce the uncertainties caused by complex topographies and high-albedo surfaces(such as snow-covered areas)on DSSR estimation.This review classified DSSR retrieval methods into four categories:empirical,parameterisation,look-up table and machine-learning methods,and evaluated their advantages,disadvantages and accuracy.Further efforts are needed to improve the calculation accuracy of atmospheric parameters such as cloud,haze,water vapor and other land surface parameters such as albedo of complex terrain and bright surface,organically combine machine learning and other methods,use the new-generation geostationary satellite and polar orbit satellite data to produce highresolution DSSR products,and promote the application of radiation products in hydrological and climate models. | Husi LETU Jiancheng SHI Ming LI Tianxing WANG Huazhe SHANG Yonghui LEI Dabin JI Jianguang WEN Kun YANG Liangfu CHEN | 2020 | Science China Earth Sciences2020，63，6： | 8 |
| 2 | Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau显示文摘With themostmassive snow and ice globally between 60°S and 60°S ,the Tibetan Plateau(TP),also called the third pole of the world,plays significant roles in the weather,climate and lives in South Asia and East Asia and even the world[1–3].Investigating the variation of weather and the climate system over the TP has long been carried out,which is significant for fresh water supplies for over 1.4 billion people in Asia.Actually,the‘Third Pole Environment’program was initiated to call international efforts to understand both climate and environment changes on the plateau[1],which has already shown rapid warming and intensified cryospheric melt and water cycle. | Chuanfeng Zhao Yikun Yang Hao Fan Jianping Huang Yunfei Fu Xiaoye Zhang Shichang Kang Zhiyuan Cong Husi Letu Massimo Menenti | 2020 | National Science Review2020，7，3： | 7 |
| 3 | An Introduction to the Chinese High-Resolution Earth Observation System:Gaofen-1~7 Civilian Satellites显示文摘The Chinese High-resolution Earth Observation System(CHEOS)program has successfully launched 7 civilian satellites since 2010.These satellites are named by Gaofen(meaning high resolution in Chinese,hereafter noted as GF).To combine the advantages of high temporal and comparably high spatial resolution,diverse sensors are deployed to each satellite.GF-1 and GF-6 carry both high-resolution cameras(2m resolution panchromatic and 8m resolution multispectral camera),providing high spatial imaging for land use monitoring;GF-3 is equipped with a C-band multipolarization synthetic aperture radar with a spatial resolution of up to 1 meter,mostly monitoring marine targets;GF-5 carried 6 sensors including hyperspectral camera and directional polarization camera,dedicated to environmental remote sensing and climate research,such as aerosol,clouds,and greenhouse gas monitoring;and GF-7 laser altimeter system payload enables a three-dimensional surveying and mapping of natural resource and land surveying,facilitating the accumulation of basic geographic information.This study provides an overview of GF civilian series satellites,especially their missions,sensors,and applications. | Liangfu Chen Husi Letu Meng Fan Huazhe Shang Jinhua Tao Laixiong Wu Ying Zhang Chao Yu Jianbin Gu Ning Zhang Jin Hong Zhongting Wang Tianyu Zhang | 2022 | Journal of Remote Sensing2022，，1： | 1 |
| 4 | Spatiotemporal Variations of Microwave Land Surface Emissivity(MLSE)over China Derived from Four-Year Recalibrated Fengyun 3B MWRI Data显示文摘Microwave Land Surface Emissivity(MLSE)over China under both clear and cloudy sky conditions was retrieved using measurements of recalibrated microwave brightness temperatures(Tbs)from Fengyun-3B Microwave Radiation Imager(FY-3B MWRI),combined with cloud properties derived from Himawari-8 Advanced Himawari Imager(AHI)observations.The contributions from cloud particles and atmospheric gases to the upwelling Tbs at the top of atmosphere were calculated and removed in radiative transfer.The MLSEs at horizontal polarizations at 10.65,18.7,and 36.5 GHz during 7 July 2015 to 30 June 2019 over China showed high values in the southeast vegetated area and low values in the northwest barren,or sparsely vegetated,area.The maximum values were found in the belt area of the Qinling-Taihang Mountains and the eastern edge of the Qinghai-Tibet Plateau,which is highly consistent with MLSEs derived from AMSR-E.It demonstrates that the measurements of FY-3B MWRI Tbs,including its calibration and validation,are reliable,and the retrieval algorithm developed in this study works well.Seasonal variations of MLSE in China are mainly driven by the combined effects of vegetation,rainfall,and snow cover.In tropical and southern forest regions,the seasonal variation of MLSE is small due to the enhancement from vegetation and the suppression from rainfall.In the boreal area,snow causes a significant decrease of MLSE at 36.5 GHz in winter.Meanwhile,the MLSE at lower frequencies experiences less suppression.In the desert region in Xinjiang,increases of MLSEs at all frequencies are observed with increasing snow cover. | Rui LI Jiheng HU Shengli WU Peng ZHANG Husi LETU Yu WANG Xuewen WANG Yuyun FU Renjun ZHOU Ling SUN | 2022 | Advances in Atmospheric Sciences2022，39，9： | 1 |
| 5 | New Progress and Challenges in Cloud–Aerosol–Radiation–Precipitation Interactions:Preface for a Special Issue※显示文摘Clouds play essential roles in the Earth’s radiative energy balance and global hydrological cycle.Aerosols,the particles suspended in the air,can change cloud properties by interacting with radiation or serving as cloud condensation nuclei.However,the variations in cloud properties subjected to aerosol context,and their impacts on radiation and precipitation,are related to many complicating factors such as land types,meteorological conditions,cloud types,aerosol properties,and their co-varied relationships.Complication of cloud-aerosol-radiation-precipitation interactions makes representation of clouds one of the largest uncertainties in climate models for future climate prediction.It has also become a prevailing topic in atmospheric sciences over the past several decades. | Chuanfeng ZHAO Yuan WANG Husi LETU | 2022 | Advances in Atmospheric Sciences2022，39，12： | 0 |
| 6 | Cloud Top Pressure Retrieval Using Polarized and Oxygen A-band Measurements from GF5 and PARASOL Satellites显示文摘Cloud top pressure(CTP)is one of the critical cloud properties that significantly affects the radiative effect of clouds.Multi-angle polarized sensors can employ polarized bands(490 nm)or O_(2)A-bands(763 and 765 nm)to retrieve the CTP.However,the CTP retrieved by the two methods shows inconsistent results in certain cases,and large uncertainties in low and thin cloud retrievals,which may lead to challenges in subsequent applications.This study proposes a synergistic algorithm that considers both O_(2)A-bands and polarized bands using a random forest(RF)model.LiDAR CTP data are used as the true values and the polarized and non-polarized measurements are concatenated to train the RF model to determine CTP.Additionally,through analysis,we proposed that the polarized signal becomes saturated as the cloud optical thickness(COT)increases,necessitating a particular treatment for cases where COT<10 to improve the algorithm's stability.The synergistic method was then applied to the directional polarized camera(DPC)and Polarized and Directionality of the Earth’s Reflectance(POLDER)measurements for evaluation,and the resulting retrieval accuracy of the POLDER-based measurements(RMSEPOLDER=205.176 hPa,RMSEDPC=171.141 hPa,R^(2)POLDER=0.636,R^(2)DPC=0.663,respectively)were higher than that of the MODIS and POLDER Rayleigh pressure measurements.The synergistic algorithm also showed good performance with the application of DPC data.This algorithm is expected to provide data support for atmosphere-related fields as an atmospheric remote sensing algorithm within the Cloud Application for Remote Sensing,Atmospheric Radiation,and Updating Energy(CARE)platform. | Lesi WEI Huazhe SHANG Jian XU Chong SHI Gegen TANA Kefu CHAO Shanhu BAO Liangfu CHEN Husi LETU | 2024 | Advances in Atmospheric Sciences2024，41，4： | 0 |
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