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Global Surface Soil Moisture Drydown Patterns
Author(s) -
Sehgal Vinit,
Gaur Nandita,
Mohanty Binayak P.
Publication year - 2021
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2020wr027588
Subject(s) - environmental science , footprint , water content , soil water , arid , hydrology (agriculture) , soil texture , soil science , atmospheric sciences , geography , geology , paleontology , archaeology , geotechnical engineering
Understanding the global soil moisture (SM) dynamics and its governing controls beyond the Darcy Scale is critical for various hydrological, meteorological, agricultural, and environmental applications. In this study, we parameterize the pathways of global surface SM ( θ RS ) drydowns using seasonal observation from Soil Moisture Active Passive (SMAP) satellite (between 2015 and 2019) at 36 km resolution. We develop a new data‐driven nonparametric approach to identify the canonical forms of θ RS drydown, followed by a nonlinear least squares parameterization of the seasonal drydown pathways at each SMAP footprint. The derived parameters provide the effective soil water retention parameters (SWRP eff ), land‐atmospheric coupling strength and soil hydrologic regimes for SMAP footprint. Depending on the footprint heterogeneity, climate, and season, the characteristics curves comprising different drydown phases are discovered at SMAP footprints. Drydown curves respond to the within‐footprint changes in the meteorological drivers, land‐surface characteristics, and the soil‐vegetative and atmospheric dynamics. Drydown parameters display high interseasonal variability, especially in the grasslands, croplands, and savannah landscapes due to significant changes in the landscape characteristics and moisture patterns at the subgrid‐scale. Soil texture exerts influence on the soil water retention and drydown parameters only when the footprint mean θ RS is low, specifically in arid and sparsely vegetated regions. The interseasonal variability of the SWRP eff is primarily driven by the landuse and climate of the SMAP footprint. A global understanding of the SM drydown features at SMAP footprint provides a significant step toward a scale‐specific, effective soil hydrologic parameterization for various applications.