The Western Land Data Assimilation System (WLDAS) is a custom instance of the NASA Land Information System that combines land surface parameters, meteorological forcing data, and satellite products within a land surface model to produce daily estimates of the water and energy budget variables for the western United States. WLDAS was configured through discussions with partners, with the goal of groundwater sustainability planning for the state of California in mind. The publicly available output dataset has a 1-km grid resolution and spans 1979–present, which makes it suitable for water resources assessments. The data are also able to contextualize the recent drought events in California. Assimilation of Leaf Area Index, which is demonstrated herein to improve simulation over agricultural areas in California, specifically in terms of evapotranspiration in irrigation regions, will be included along with other data assimilation in subsequent releases of WLDAS.

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针对美国西部优化的高分辨率土地数据同化系统

西部土地数据同化系统 (WLDAS) 是 NASA 土地信息系统的一个自定义实例，它在一个地表模型中结合了地表参数、气象强迫数据和卫星产品，以生成每日水和能源预算变量的估计值。美国西部。WLDAS 通过与合作伙伴的讨论进行配置，其目标是为加利福尼亚州制定地下水可持续性规划。公开可用的输出数据集具有 1 公里的网格分辨率，跨越 1979 年至今，这使其适用于水资源评估。这些数据还能够将加利福尼亚最近的干旱事件联系起来。叶面积指数的同化，在本文中被证明是为了改进加利福尼亚农业区的模拟，