Enhancing the USDA FAS Crop Forecasting System Using SMAP L3 Soil Moisture Observations

Mladenova, Iliana E ; Bolten, John D ; Crow, Wade ; Reynolds, Curt

关键词: AGRICULTURE;    SOIL MOISTURE;    CORRELATION;    CROP GROWTH;    WATER;    FORECASTING;    ESTIMATES;    SOILS;   

RP-ID  :  GSFC-E-DAA-TN65642

学科分类：地球科学(综合)

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

One of the U.S. Department of Agriculture-Foreign Agricultural Services (USDA-FAS) mission objectives is to provide current information on global crop supply and demand estimates. Crop growth and development is especially susceptible to the amount of water present in the root-zone portion of the soil profile. Therefore, accurate knowledge of the root-zone soil moisture (RZSM) is an essential for USDA-FAS global crop assessments. This paper focusses on the possibility of enhancing the USDA-FAS's RZSM estimates through the integration of passive-based soil moisture observations derived from the Soil Moisture Active Passive (SMAP) mission into the USDA-FAS Palmer model. Lag-correlation analysis, which explores the agreement between changes in RZSM and crop status indicated that the satellite-based observations can enhance the model-only estimates.