Soil Saturation - Warning Decision Training Division (WDTD)
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Soil Saturation
Short Description
A comparison of the current model output of the water content in the top-layer soils at model initialization time to the maximum storage capacity of those top-layer soils.
Subproducts
CREST and SAC-SMA. The FLASH EF5 framework runs multiple hydrological models using a common input. For MRMS Version 12, there is a soil saturation product for the 2 models listed above.
Primary Users
NWS: WFO, RFC
Input Sources
MRMS Radar-Only QPE
Resolution
Spatial: ~1 km x 1 km
Temporal: 10 minutes
Product Creation
The FLASH EF5 model framework uses MRMS Radar-Only QPE as input into the 2 hydrological models (CREST and SAC-SMA) which then use a subset of these hydrological principles (infiltration, storage, interflow, evapotranspiration, and runoff) to route the precipitation through the basins. The amount of modeled water content in the top-layer soils at model initialization time for each grid point is compared to the maximum storage capacity of those top-layer soils in each grid point. The result is a percentage value of maximum storage capacity.
Technical Details
Latest Update: MRMS Version 12
NOTE: In version 12, all FLASH products now use the instantaneous rainfall rates from the Dual-pol radar synthetic QPE product.
Accessible on:
- Operational AWIPS
- V11.5 -- MRMS menu
- V12 -- via LDM, if set-up
- MRMS Development site
References
Gourley, J., Z. Flamig, H. Vergara, P. Kirstetter, R. Clark III, E. Argyle, A. Arthur, S. Martinaitis, G. Terti, J. Erlingis, Y. Hong, and K. Howard, 2016: The Flooded Locations And Simulated Hydrographs (FLASH) project: improving the tools for flash flood monitoring and prediction across the United States. Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-15-00247.1, in press.
Jiahu Wang , Yang Hong , Li Li , Jonathan J. Gourley , Sadiq I. Khan , Koray K. Yilmaz , Robert F. Adler , Frederick S. Policelli , Shahid Habib , Daniel Irwn , Ashutosh S. Limaye , Tesfaye Korme & Lawrence Okello (2011) The coupled routing and excess storage (CREST) distributed hydrological model, Hydrological Sciences Journal, 56:1, 84-98, DOI: 10.1080/02626667.2010.543087