Assessment of a Long-Term High-Resolution Hydroclimatic Dataset for the U.S. Midwest

Earth Interactions

DevNiyogi¹ 

关键词: Physical meteorology and climatology;    Evapotranspiration;    Soil moisture;    Soil temperature;    Models and modeling;    Data assimilation;    Land surface model;    Model evaluation;   

DOI  :  10.1175/EI-D-16-0022.1

学科分类：地球科学(综合)

来源: American Geophysical Union

【 摘 要 】

AbstractA new, high-resolution (4 km), gridded land surface dataset produced with the Land Information System (LIS) is introduced, and the first set of synthesis of key hydroclimatic variables is reported. The dataset is produced over a 33-yr time period (1980–2012) for the U.S. Midwest with the intent to aid the agricultural community in understanding hydroclimatic impacts on crop production and decision-making in operational practices. While approximately 20 hydroclimatic variables are available through the LIS dataset, the focus here is on soil water content, soil temperature, and evapotranspiration. To assess the performance of the model, the LIS dataset is compared with in situ hydrometeorological observations across the study domain and with coarse-resolution reanalysis products [NARR, MERRA, and NLDAS-2 (phase 2 of the North American Land Data Assimilation System)]. In agricultural regions such as the U.S. Midwest, finescale hydroclimatic mapping that links the regional scale to the field scale is ...

【 授权许可】

Unknown