2015
DOI: 10.1175/jhm-d-14-0137.1
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Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network

Abstract: Soil moisture affects the spatial variation of land–atmosphere interactions through its influence on the balance of latent and sensible heat fluxes. Wetter soils are more prone to flooding because a smaller fraction of rainfall can infiltrate into the soil. The Soil Moisture Ocean Salinity (SMOS) satellite carries a remote sensing instrument able to make estimates of near-surface soil moisture on a global scale. One way to validate satellite observations is by comparing them with observations made with sparse … Show more

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Cited by 75 publications
(64 citation statements)
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“…We expect thicker surface layer dynamics to be dampened when compared to a thinner layer (e.g., Rondinelli et al, 2015). However, changing Noah's layer one soil depth from 0-10 to 0-5 cm only increases soil drying rates by 6 % (Fig.…”
Section: Discussionmentioning
confidence: 88%
See 1 more Smart Citation
“…We expect thicker surface layer dynamics to be dampened when compared to a thinner layer (e.g., Rondinelli et al, 2015). However, changing Noah's layer one soil depth from 0-10 to 0-5 cm only increases soil drying rates by 6 % (Fig.…”
Section: Discussionmentioning
confidence: 88%
“…Drying dynamics may be affected by the depth of soil being sensed or modeled (Rondinelli et al, 2015;Shellito et al, 2016b). We use the six supplementary simulations described in Sect.…”
Section: Noah Simulation Depthmentioning
confidence: 99%
“…We expect thicker surface layer dynamics to be dampened when compared to a thinner layer (e.g., 25 Rondinelli et al, 2015). However, changing Noah's layer 1 soil depth from 0-10 cm to 0-5 cm only increases soil drying rates by 6 % (Figure 12), implying that the model structure itself prevents Noah from accurately reproducing the surface soil moisture dynamics observed by SMAP.…”
Section: Discussionmentioning
confidence: 96%
“…Drying dynamics may be affected by the depth of soil being sensed or modeled (Rondinelli et al, 2015;Shellito et al, 2016b). We use the six supplementary simulations described in Sect.…”
Section: Noah Simulation Depthmentioning
confidence: 99%
“…Burgin et al, 2017;Chan et al, 2016;Das et al, 2014;Kerr et al, 2016;Pathe et al, 2009). Earth observations in the microwave spectrum, which are most often used for the estimation of soil moisture by earth observations (Kornelsen and Coulibaly, 2013;Petropoulos et al, 2015), originate from the soil surface to 0.01-0.05 m depth Kornelsen and Coulibaly, 2013;Nolan and Fatland, 2003;Rondinelli et al, 2015;Ulaby et al, 1996). Measurement depth is controlled by the microwave wavelength, sensor type (active or passive) and moisture conditions Nolan and Fatland, 2003;Rondinelli et al, 2015;Ulaby et al, 1996).…”
Section: Introductionmentioning
confidence: 99%