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A global daily soil moisture dataset derived from Chinese FengYun Microwave Radiation Imager (MWRI)(2010-2019).
Yao, Panpan; Lu, Hui; Zhao, Tianjie; Wu, Shengli; Peng, Zhiqing; Cosh, Michael H; Jia, Li; Yang, Kun; Zhang, Peng; Shi, Jiancheng.
Afiliación
  • Yao P; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Lu H; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Zhao T; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China. luhui@tsinghua.edu.cn.
  • Wu S; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China. zhaotj@aircas.ac.cn.
  • Peng Z; National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China.
  • Cosh MH; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Jia L; Hydrology and Remote Sensing Laboratory (HRSL), United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Beltsville, MD, 20705, USA.
  • Yang K; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China.
  • Zhang P; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
  • Shi J; National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China.
Sci Data ; 10(1): 133, 2023 03 14.
Article en En | MEDLINE | ID: mdl-36918527
ABSTRACT
Surface soil moisture (SSM) is an important variable in drought monitoring, floods predicting, weather forecasting, etc. and plays a critical role in water and heat exchanges between land and atmosphere. SSM products from L-band observations, such as the Soil Moisture Active Passive (SMAP) Mission, have proven to be optimal global estimations. Although X-band has a lower sensitivity to soil moisture than that of L-band, Chinese FengYun-3 series satellites (FY-3A/B/C/D) have provided sustainable and daily multiple SSM products from X-band since 2008. This research developed a new global SSM product (NNsm-FY) from FY-3B MWRI from 2010 to 2019, transferred high accuracy of SMAP L-band to FY-3B X-band. The NNsm-FY shows good agreement with in-situ observations and SMAP product and has a higher accuracy than that of official FY-3B product. With this new dataset, Chinese FY-3 satellites may play a larger role and provide opportunities of sustainable and longer-term soil moisture data record for hydrological study.

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Data Año: 2023 Tipo del documento: Article País de afiliación: China