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The independent service validation in GMES RESPOND:the flood validation exercise

International Journal of Digital Earth 2011年第S01期4卷 58-76页

作者： M.Shimoni M.Crosetto S.Lang P.Bally F.Boubila Electrical Engineering Department Signal and Image CentreBelgian Royal Military Academy30Ave de la Renaissance1000BrusselsBelgium Active Remote Sensing Unit Institute of GeomaticsCastelldefelsAvinguda Gauss11E-08860CastelldefelsBarcelonaSpain Z_GIS-Centre for Geoinformatics University of SalzburgSchillerstr 305020SalzburgAustria Science Applications and Future Technologies DepartmentDirectorate of EO ProgrammesEuropean Space AgencyVia Galileo Galileisnc00044Frascati(Roma)Italy

This article is aimed at providing a detailed description of the Flood validation Exercise organised by the Independent Service validation Group of the Global Monitoring for Environment and Security(GMES)RESPOND *** aims of the validation exercise were:(1)providing a practical example of validation procedures in the frame of the GMES Emergency Response services;(2)executing a full-scale validation exercise able to cope with the requirements of an emergency service;and(3)better understanding the performances and limitations of Earth observation services for Flood Damage *** validation exercise is a first step of the main task to define the whole validation process for GMES *** this is achieved,there will be knowledge concerning how well services meet the service specifications derived from the user *** present exercise has the purpose of gathering this *** output of this validation exercise can be used to characterise and qualify the performance and timeliness of Crisis and Damage Mapping *** paper summarises the methodology for the flood exercise validation and the results of product validation and inter-comparison.

关键词： flood mapping validation exercise product validation inter-comparison

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Evaluation and intercomparison of multiple satellite-derived and reanalysis downward shortwave radiation products in China

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International Journal of Digital Earth 2023年第1期16卷 1853-1884页

作者： Liu Tong Tao He Yichuan Ma Xiaotong Zhang Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere School of Remote Sensing and Information EngineeringWuhan UniversityWuhanPeople’s Republic of China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityPeople’s Republic of China State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal UniversityBeijingPeople’s Republic of China Beijing Engineering Research Center for Global Land Remote Sensing products Institute of Remote SensingScience and EngineeringFaculty of Geographical ScienceBeijing Normal UniversityBeijingPeople’s Republic of China

Downward shortwave radiation(DSR)is a critical variable in energy balance driving Earth’s surface ***-derived and reanalysis DSR products have been developed and continuously improved during the last ***,as those products have different temporal resolutions,their performances in different time scales have not been well-documented,particularly in *** study intended to evaluate several DSR products across multiple time scales(***,1-hourly,daily,and monthly average)and ecosystems in *** DSR products,including GLASS,BESS,CLARA-A2,MCD18A1,ERA5 and MERRA-2,were evaluated against ground measurements at Chinese Ecosystem Research Network(CERN)and integrated land-atmosphere interaction observation(TPDC)sites from 2009 to *** instantaneous DSR of MCD18 showed a root mean square error(RMSE)of 146.02 W/m^(2).The hourly RMSE of ERA5(155.52 W/m^(2))was largely smaller than MERRA-2(188.53 W/m^(2)).On the daily and monthly scale,BESS had the most optimized accuracy among the six products(RMSE of 36.82 W/m^(2)).For the satellite-derived DSR products,the monthly accuracy at CERN can meet the threshold accuracy requirement set by World Meteorological Organization(WMO)for Global Numerical Weather Prediction(20 W/m^(2)).

关键词： Downward shortwave radiation product validation remote sensing products reanalysis products

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Fengyun Meteorological Satellite products for Earth System Science Applications

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Advances in Atmospheric Sciences 2021年第8期38卷 1267-1284页

作者： Di XIAN Peng ZHANG Ling GAO Ruijing SUN Haizhen ZHANG Xu JIA National Satellite Meteorological Center China Meteorological AdministrationBeijing 100081China

Following the progress of satellite data assimilation in the 1990s, the combination of meteorological satellites and numerical models has changed the way scientists understand the earth. With the evolution of numerical weather prediction models and earth system models, meteorological satellites will play a more important role in earth sciences in the future. As part of the space-based infrastructure, the Fengyun (FY) meteorological satellites have contributed to earth science sustainability studies through an open data policy and stable data quality since the first launch of the FY-1A satellite in 1988. The capability of earth system monitoring was greatly enhanced after the second-generation polar orbiting FY-3 satellites and geostationary orbiting FY-4 satellites were developed. Meanwhile, the quality of the products generated from the FY-3 and FY-4 satellites is comparable to the well-known MODIS products. FY satellite data has been utilized broadly in weather forecasting, climate and climate change investigations, environmental disaster monitoring, etc. This article reviews the instruments mounted on the FY satellites. Sensor-dependent level 1 products (radiance data) and inversion algorithm-dependent level 2 products (geophysical parameters) are introduced. As an example, some typical geophysical parameters, such as wildfires, lightning, vegetation indices, aerosol products, soil moisture, and precipitation estimation have been demonstrated and validated by in-situ observations and other well-known satellite products. To help users access the FY products, a set of data sharing systems has been developed and operated. The newly developed data sharing system based on cloud technology has been illustrated to improve the efficiency of data delivery.

关键词： Fengyun meteorological satellite sensor-dependent level 1 product inversion algorithm-dependent level 2 product product validation

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