2020
DOI: 10.3390/rs12122037
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Long-Term Trends in Root-Zone Soil Moisture across CONUS Connected to ENSO

Abstract: Root zone soil moisture (RZSM) is one of the least-monitored variables within the hydrologic cycle. Given the importance of RZSM to agriculture, more effort is needed to understand the potential impacts of the El Niño southern oscillation (ENSO), Pacific decadal oscillation (PDO), and Atlantic multidecadal oscillation (AMO) on this critical variable. This study focused on the CONtiguous United States (CONUS) RZSM (0 to 40 cm depth) over nearly three decades (1992 to 2018). Basic trend analysis with the Mann–Ke… Show more

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Cited by 6 publications
(3 citation statements)
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“…Wavelet coherence is a bi-variate framework that is useful for exploring interactions between time series within a continuous time and frequency space [ 25 ]. Prior studies that have used WTC to document teleconnections between ENSO and soil moisture include [ 26 , 27 ], which also provide more information about this methodology. WTC was applied on a county basis.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Wavelet coherence is a bi-variate framework that is useful for exploring interactions between time series within a continuous time and frequency space [ 25 ]. Prior studies that have used WTC to document teleconnections between ENSO and soil moisture include [ 26 , 27 ], which also provide more information about this methodology. WTC was applied on a county basis.…”
Section: Methodsmentioning
confidence: 99%
“…A r 2 value of 0.5 was set as the minimum value at which phase relationships can be discerned with confidence [ 28 ]. A 12-month lag was applied between the ENSO and soil moisture consistent with the fact that hydrologic response can lag up to 12 months behind atmospheric forcing [ 27 , 29 ]. An additional 12 months (total 24 months) of lag was applied between ENSO and coccidioidomycosis cases, which has been noted in prior studies [ 7 , 11 ].…”
Section: Methodsmentioning
confidence: 99%
“…We use the flash drought of 2012 to compare model results to multiple ground and remotely sensed observations. Modeled soil moisture (SM) fluxes are compared to SoilMERGE (SMERGE), a 0.125 degree root-zone (0-40 cm) SM product obtained from 'merging' NLDAS-2 outputs with European Space Agency Climate Change Initiative surface satellite data which can predict vegetation health anomalies (Tobin et al, 2019). We also validate SM estimates against simulated SM from Noah land-…”
Section: Validation Data Setsmentioning
confidence: 99%