Parameters of Global Surface Soil Moisture Drydown using SMAP

We provide the pathways and parameters of surface soil moisture (SM) drydown using global observations from NASA's Soil Moisture Active Passive (SMAP) at 36 KM spatial resolution. Globally dominant canonical shapes of SM drydowns are identified using a non-parametric approach. A pixel-wise fitting of the selected canonical forms using a non-linear least-squares approach provide the pathways and parameters of SM drydown. The data generated from this study can be used for diverse applications including (and not limited to) identification of dominant soil hydrologic regimes, understanding land-surface coupling strength, and estimating effective soil water retention parameters at remote-sensing footprint scale etc.
Details can be found in our paper: Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588

本数据集提供了利用美国宇航局土壤湿度主动被动（SMAP）全球观测数据，以36公里空间分辨率所得的表层土壤湿度（SM）干燥路径和参数。通过非参数方法确定了全球主导的土壤湿度干燥的典型形状。采用非线性最小二乘法对选定的典型形状进行像素级拟合，从而得出土壤湿度干燥的路径和参数。本研究生成数据可用于多种应用，包括但不限于识别主导土壤水文状态、理解地表耦合强度以及估算遥感足迹尺度下的有效土壤水分保持参数等。具体细节可参考我们的论文：Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). 全球表层土壤湿度干燥模式. 水资源研究，56，e2020WR027588. https://doi.org/10.1029/2020WR027588