Rootzone Soil Moisture Dynamics Using Terrestrial Water‐Energy Coupling

• Published in: Geophysical research letters Vol. 51; no. 19
• Main Authors: Sehgal, Vinit, Mohanty, Binayak P., Reichle, Rolf H.
• Format: Journal Article
• Language: English
• Published: Washington John Wiley & Sons, Inc 16.10.2024; Wiley
• Subjects: Agricultural drought; Agricultural ecosystems; Atmospheric forcing; Coupling; Drought; Drought monitoring; Dynamics; Energy coupling; Environmental impact; Environmental monitoring; Estimates; evapotranspiration; Fluid filters; Hydrologic processes; MODIS; Moisture content; Moisture stress; Parameter estimation; Parameters; Passive imaging; Remote sensing; Satellites; SMAP; Soil; Soil dynamics; Soil layers; Soil moisture; Soil moisture dynamics; Soil moisture estimation; Soil moisture stress; Soil stresses; Soil surfaces; Spatial data; Spectroradiometers; Thresholds; Variability; Vegetation; Water purification; water‐energy coupling; United States > US
• ISSN: 0094-8276; 1944-8007
• DOI: 10.1029/2024GL110342

A lack of high‐density rootzone soil moisture (θRZ) observations limits the estimation of continental‐scale, space‐time contiguous θRZ dynamics. We derive a proxy of daily θRZ dynamics — active rootzone degree of saturation (SRZ) — by recursive low‐pass (LP) filtering of surface soil moisture (θS) within a terrestrial water‐energy coupling (WEC) framework. We estimate the LP filter parameters and WEC thresholds for the piecewise‐linear coupling between SRZ and evaporative fraction (EF) at remote sensing and field scale over the Contiguous U.S. We use θS from the Soil Moisture Active‐Passive (SMAP) satellite and 218 in‐situ stations, with EF from the Moderate Resolution Imaging Spectroradiometer. The estimated SRZ compares well against SMAP Level‐4 estimates and in‐situ θRZ, at the corresponding scale. The instantaneous hydrologic state (SRZ) vis‐à‐vis the WEC thresholds is proposed as a rootzone soil moisture stress index (SMSRZ) for near‐real‐time operational agricultural drought monitoring and agrees well with established drought metrics. Plain Language Summary Rootzone soil moisture plays a vital role in agricultural, hydrological, and ecosystem processes. The available spaceborne satellites for monitoring soil moisture can only capture variability in a shallow soil layer at the surface, typically limited to the top 5 cm. Hence, spatiotemporally continuous estimation of rootzone soil moisture dynamics typically relies on soil moisture estimates from land‐surface models, which are subject to errors in the surface meteorological forcing data, process formulations, and model parameters. Some studies suggest that the rootzone soil moisture dynamics can be estimated by filtering the high‐frequency variability in the surface soil moisture. However, such “filters” require observed rootzone data (often unavailable at high spatial density) for calibration. This study uses the relationship between surface soil moisture and evaporative fraction derived using spaceborne observations from the Soil Moisture Active Passive mission and the Moderate Resolution Imaging Spectroradiometer to estimate rootzone soil moisture dynamics for the Contiguous U.S. at 9 km grid resolution. We further demonstrate that this approach can be extended into a near‐real‐time agricultural drought monitor to assess drought impacts on vegetation using surface soil moisture observations. Key Points Terrestrial water‐energy coupling is used to parameterize low‐pass filter to estimate rootzone dynamics from surface soil moisture Rootzone degree of saturation and water‐energy coupling thresholds are estimated using evaporative fraction and surface soil moisture SMAP‐based rootzone degree of saturation can used for operational, near‐real‐time agricultural drought monitoring over Contiguous U.S