Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR027588 |
Global Surface Soil Moisture Drydown Patterns | |
Vinit Sehgal; Nandita Gaur; Binayak P. Mohanty | |
2020-12-02 | |
发表期刊 | Water Resources Research
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出版年 | 2020 |
英文摘要 | Understanding the global soil moisture (SM) dynamics and its governing controls beyond the Darcy Scale is critical for various hydrologic, meteorological, agricultural, and environmental applications. In this study, we parameterize the pathways of the seasonal drydowns using global surface soil moisture (θRS) observation from SMAP satellite (between 2015 and 2019) at 36 km resolution. We develop a new data‐driven non‐parametric approach to identify the canonical forms of θRS 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 (SWRPeff), land‐atmospheric coupling strength and soil hydrologic regimes for SMAP footprint. Depending on 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 inter‐seasonal variability, especially in 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 θRS is low, specifically in arid and sparsely vegetated regions. The influence of soil texture on the inter‐seasonal variability of SWRPeff is low compared to landuse and climate at the RS‐footprint scale. The global understanding of SM drydown features at SMAP footprints provides a significant step towards a scale‐specific, effective soil hydrologic parameterization for various applications. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/305743 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Vinit Sehgal,Nandita Gaur,Binayak P. Mohanty. Global Surface Soil Moisture Drydown Patterns[J]. Water Resources Research,2020. |
APA | Vinit Sehgal,Nandita Gaur,&Binayak P. Mohanty.(2020).Global Surface Soil Moisture Drydown Patterns.Water Resources Research. |
MLA | Vinit Sehgal,et al."Global Surface Soil Moisture Drydown Patterns".Water Resources Research (2020). |
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