Oakley, Nina. S.; Liu, Tao; McGuire, Luke A.; Simpson, Matthew; Hatchett, Benjamin J.; Tardy, Alex; Kean, Jason W.; Castellano, Chris; Laber, Jayme L.; Steinhoff, Daniel (2022). Data from: Toward probabilistic post-fire debris-flow hazard decision support. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0251JCQ

This dataset consists of 5-minute precipitation accumulation for a 48-hour period for a simulation with 24-hour forecast lead time ahead of an impactful event. This simulation from the Weather Research and Forecasting (WRF) model (Version 4.3) features 100 ensemble members for two storm events on a 1-km horizontal grid for a Southern California study area (see "Cartographic" section below).

The selected storm events are: 1) 12 UTC 8 January 2018 to 12 UTC 10 January 2018, providing a 24-hour forecast leading up to the debris flow event that occurred at approximately 12 UTC 9 January 2018 on the Thomas Fire burn area in Montecito, California, as well as 24 hours following the event. 2) 12 UTC 1 February 2019 to 12 UTC 3 February 2019, providing a 24-hour forecast leading up to the enhanced runoff event that occurred at approximately 12 UTC 2 February 2019 on the Thomas Fire burn area in Montecito, California, as well as 24 hours following the event.

Details of the configuration of the WRF ensemble simulation are provided in the associated publication and the readme file.

• 2022-01-01 to 2022-02-28

• 2022

• Oakley, Nina S.

• Castellano, Chris
• Hatchett, Benjamin J.
• Kean, Jason W.
• Laber, Jayme
• Liu, Tao
• McGuire, Luke A.
• Simpson, Matthew
• Steinhoff, Daniel
• Tardy, Alex

These data were generated using the Weather Research and Forecasting model, Version 4.3.

This work was supported by the California Department of Water Resources Atmospheric River Program (4600013361) and the NOAA Collaborative Science, Technology, and Applied Research (CSTAR) program (NA19NWS4680004).

• Southern California

• Debris flow
• Extreme rainfall
• Narrow cold-frontal rainband
• Precipitation
• Weather Research and Forecasting (WRF) model

Polygon: 31.25124,-123.1214 36.47876,-123.0815 36.17228,-114.6144 30.96056,-115.1219 31.25124,-123.1214

• data
• text

• English

Primary associated publication

• Oakley, N. S., Liu, T., McGuire, L. A., Simpson, M., Hatchett, B. J., Tardy, A., Kean, J. W., Castellano, C., Laber, J. L., & Steinhoff, D. (2023). Toward Probabilistic Post-Fire Debris-Flow Hazard Decision Support. Bulletin of the American Meteorological Society, 104(9), E1587-E1605. https://doi.org/10.1175/BAMS-D-22-0188.1

Described by

• Skamarock, W. C., and Coauthors, 2019: A description of the advanced research WRF model version 4. NCAR Technical Notes No. NCAR/TN-556+STR. http://doi.org/10.5065/1dfh-6p97

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2024-07-11