Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 3
Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-691-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-691-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 3
Research article
 | 
16 Feb 2024
Research article |  | 16 Feb 2024

Seasonal prediction of end-of-dry-season watershed behavior in a highly interconnected alluvial watershed in northern California

Claire Kouba and Thomas Harter

Data sets

DWR Periodic Groundwater Level Measurements Dataset CNRA https://data.cnra.ca.gov/dataset/periodic-groundwater-level-measurements

"Snow Course Dataset'', Snow Course Historical Data CDEC - California Data Exchange Center https://cdec.water.ca.gov/dynamicapp/snowQuery

Spatial CIMIS Dataset, California Irrigation Management Information System DWR https://cimis.water.ca.gov/SpatialData.aspx

CIMIS Station Reports, California Irrigation Management Information System DWR https://cimis.water.ca.gov/WSNReportCriteria.aspx

Scott R NR Fort Jones CA - 11519500 - Daily Flow Dataset USGS - US Geological Survey https://waterdata.usgs.gov/monitoring-location/11519500

Global Historical Climatological Network (GHCN) Daily Dataset, Daily Weather Records National Climatic Data Center, NESDIS, NOAA, and US Department of Commerce https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ncdc:C00781/html

EoDS_MS_HESS Claire Kouba https://github.com/cmkouba/EoDS_MS_HESS

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Short summary
In some watersheds, the severity of the dry season has a large impact on aquatic ecosystems. In this study, we design a way to predict, 5–6 months in advance, how severe the dry season will be in a rural watershed in northern California. This early warning can support seasonal adaptive management. To predict these two values, we assess data about snow, rain, groundwater, and river flows. We find that maximum snowpack and total wet season rainfall best predict dry season severity.
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