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Profiling of Soil Moisture Variability and Its Role in Rainfall-Runoff Generation in Northern California's Russian River Watershed
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  • Edwin Sumargo,
  • Rachel Weihs,
  • Anna Wilson,
  • Hilary McMillan
Edwin Sumargo
Scripps Institution of Oceanography

Corresponding Author:[email protected]

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Rachel Weihs
Scripps Institution of Oceanography
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Anna Wilson
Scripps Institution of Oceanography
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Hilary McMillan
San Diego State University
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Abstract

Capturing watershed-scale runoff response remains difficult, in part because of heterogeneous land surface characteristics in mountainous regions. This challenge has impacted our progress in understanding soil moisture role in modulating rainfall-runoff process. Situated in Northern California, the Russian River watershed is frequented by atmospheric rivers (ARs) that bring most of the significant rainfall events to the area and are associated with almost all of the floods. To observe the precipitation in this watershed, NOAA Hydrometeorology Testbed has installed 14 telemetered stations across the watershed since 2005, each with 2-minute soil moisture volumetric water content (VWC) sensors at 6 depths. The Center for Western Weather and Water Extremes at the University of California San Diego has installed 6 more stations since 2017. Understanding soil moisture variability is crucial for hydrologic modeling and operations, particularly flood prediction. This high resolution soil moisture observation network allows comprehensive analysis of soil moisture variability. For instance, correlation analysis of 2-minute VWC at 10-cm depth reveals a uniform shallow-layer soil moisture behavior with correlations of >0.8 at most locations and across different seasons, demonstrating the network’s utility in capturing spatial and temporal soil moisture variabilities. Following this result, we investigate how antecedent soil moisture condition modulates the rainfall-runoff process. We include precipitation and stream discharge records from the same stations and nearby USGS gauges. A series of AR events in February 2019 offers a prime example. The February 2nd and Valentine’s Day ARs saturated the soil in most parts of the watershed and resulted in minor flooding. Percentile rank analysis indicated the subsequent February 26th-27th ARs recorded the highest event total rainfalls since 2017 at most gauges. Consequently, the February 26th-27th ARs resulted in rapid runoff responses and widespread flooding. This example also reveals the spatial variation in antecedent soil moisture VWC “threshold” where runoff generation becomes efficient. Work is ongoing to profile this threshold variation within the watershed, and preliminary analysis suggests a range from <0.2 to >0.5 at 10-cm depth.