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satellite precipitation product:Applicability and accuracy evaluation in diverse region

Science China(Technological Sciences) 2020年第5期63卷 819-828页

作者： MUHAMMAD Ehtsham MUHAMMAD Waseem AHMAD Ijaz MUHAMMAD KHAN Noor CHEN Si Centre of Excellence in Water Resources Engineering University of Engineering and TechnologyLahore 54890Pakistan Department of Civil Engineering University of Engineering and TechnologyLahore 54890Pakistan School of Resources and Environment Hubei UniversityWuhan 430062China Hubei Key Laboratory of Regional Development and Environmental Response Wuhan 430062China

satellite precipitation products,e.g.,Tropical Rainfall Measuring Mission version-07(hereafter TRMM)and its successor Integrated Multi-satellite Retrievals for Global Precipitation Measurement(hereafter IMERG)are being used at a global scale for rainfall ***,SM2RAIN-ASCAT(hereafter SM2RAIN)is a novel addition to satellite-based precipitation products which gives the rainfall estimates from the knowledge of soil moisture state and is based on‘bottom to top’approach.A comparative assessment of any newly developed product or a new version of the product is quite vital for algorithm developers and ***,this research work was carried out to evaluate the accuracy and applicability of SM2RAIN,in comparison to in-situ data,TRMM,and IMERG in diverse regions of *** comparative analysis was performed on a temporal scale(daily and monthly)and seasonal scale(spring,autumn,summer,and winter)using five performance metrics namely,root mean square error(RMSE),correlation coefficient(CC),false alarm ratio(FAR),the probability of detection(POD),and critical success index(CSI).The results showed that:(1)SM2RAIN is a better rainfall estimation product in the dry region(having ***>0.35),however,less effective in hilly and mountainous terrain having high rainfall intensity;(2)SM2RAIN provides more satisfactory estimates in winter and autumn seasons,while relative poor in the summer season;(3)SM2RAIN performs better in terms of rainfall detection with an average POD of 0.61;(4)the overall performance of SM2RAIN is very convincing and it was concluded that SM2RAIN can be a feasible satellite product for most of the areas of *** is noteworthy here to mention that this could be the preliminary assessment of SM2RAIN in diverse climatic zones of Pakistan.

关键词： SM2RAIN satellite product TRMM,IMERG Pakistan

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The Performance of Downward Shortwave Radiation products from satellite and Reanalysis over the Transect of Zhongshan Station to Dome A, East Antarctica

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Advances in Atmospheric Sciences 2024年第8期41卷 1574-1588,1671-1675页

作者： Jiajia JIA Zhaoliang ZENG Wenqian ZHANG Xiangdong ZHENG Yaqiang WANG Minghu DING State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China

The downward shortwave radiation(DSR) is an important part of the Earth's energy balance, driving Earth's system's energy, water, and carbon cycles. Due to the harsh Antarctic environment, the accuracy of DSR derived from satellite and reanalysis has not been systematically evaluated over the transect of Zhongshan station to Dome A, East ***, this study aims to evaluate DSR reanalysis products(ERA5-Land, ERA5, MERRA-2) and satellite products(CERES and ICDR) in this area. The results indicate that DSR exhibits obvious monthly and seasonal variations, with higher values in summer than in winter. The ERA5-Land(ICDR) DSR product demonstrated the highest(lowest) accuracy,as evidenced by a correlation coefficient of 0.988(0.918), a root-mean-square error of 23.919(69.383) W m^(–2), a mean bias of –1.667(–28.223) W m^(–2) and a mean absolute error of 13.37(58.99) W m^(–2). The RMSE values for the ERA5-Land reanalysis product at seven stations, namely Zhongshan, Panda 100, Panda 300, Panda 400, Taishan, Panda 1100, and Kunlun, were 30.938, 29.447, 34.507, 29.110, 20.339, 17.267, and 14.700 W m^(-2), respectively;with corresponding bias values of 9.887, –12.159, –19.181, –15.519, –8.118, 6.297, and 3.482 W m^(–2). Regarding seasonality, ERA5-Land, ERA5,and MERRA-2 reanalysis products demonstrate higher accuracies during spring and summer, while ICDR products are least accurate in autumn. Cloud cover, water vapor, total ozone, and severe weather are the main factors affecting DSR. The error of DSR products is greatest in coastal areas(particularly at the Zhongshan station) and decreases towards the inland areas of Antarctica.

关键词： downward shortwave radiation East Antarctic reanalysis product satellite product validation

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Validation of Three satellite Precipitation products in Two South-Western African Watersheds: Bandama (Ivory Coast) and Mono (Togo)

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Atmospheric and Climate Sciences 2020年第4期10卷 597-613页

作者： Salomon Obahoundje Vami Hermann Nguessan Bi Kouakou Lazare Kouassi Marc Youan Ta Ernest Amoussou Arona Diedhiou LAPAMF-African Centre of Excellence on Climate Change Biodiversity and Sustainable Development Université Félix Houphou&euml t Boigny Abidjan Ivory Coast Laboratoire Mixte International Nexus (LMI NEXUS) Université Félix Houphou&euml t Boigny Bingerville Abidjan Ivory Coast CURAT (Centre Universitaire de Recherche et d’Application en Télédétection) Université Félix Houphou&euml t Boigny Abidjan Ivory Coast UFR-Environnement Université Jean Lorougnon GUEDE Daloa Ivory Coast Département de Géographie et Aménagement de Territoire (DGAT/FLASH) Université de Parakou Parakou Benin IRD CNRS Grenoble INP IGE University Grenoble Alpes Grenoble France

satellite precipitation products are widely used in different domain, in area where there is a lack in observation. These have different spatio-temporal resolutions consequently resulting in different precipitation amounts depending on the product. The present study validates three satellite products, namely the Climate Hazard group Infrared Precipitation with Stations (CHIRPS), the Climate Research Unit (CRU) and the Global Precipitation Climatology Project (GPCP) over Bandama and Mono river basins for 1981-2005 and 1981-2016 respectively by comparing them to the observation precipitation of the basin. The available studies are focused on the regional scale but not on a watershed scale for hydrological studies. The analysis reveals that all the products are strongly correlated to each other as well as to the observed data at basin level. The Lamb coefficient test shows that most all the chosen basin namely Bandama and Mono presents the same climatic indices. All the products present the same variability and trend as the observation at basins scale. By comparing those products to observation, CHIRPS product following by GPCP give the lowest mean absolute error (MAE) at annual and seasonal time scales while CHIRPS is followed by CRU at monthly scale. Overall, all products overestimate the precipitation at Bandama basin while they underestimate it over Mono river basin. The comparison over 1981-2017 period of the total annual precipitation increasing southern ward (from Sahel to the coastal zone) for all the three studied products which varies from 300 mm to 2400 mm/year. All the three products are not significantly different from one another and they all highlight the same areas of hotspot rainfall in the region. The same conclusion is made at monthly and seasonal scales. Therefore, any of these products especially CHIRPS can be used for study in this region due to its lowest bias and MAE.

关键词： Precipitation satellite product West Africa Validation Mono and Bandama

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