Title:

Processed data and code used to characterize rain storm intensity, duration, and size across an elevation gradient for assessment of post-fire hazards

Author(s):

White, Phoebe S.; Nelson, Peter A.

Publication Year:

2025

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

White, Phoebe S.; Nelson, Peter A. 2025. Processed data and code used to characterize rain storm intensity, duration, and size across an elevation gradient for assessment of post-fire hazards. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2025-0028

Abstract:

These data include pre-existing gridded precipitation datasets that have been processed to obtain the maximum seasonal hourly and daily precipitation accumulations over the specified geographic extent, on a consistent grid. The study area includes the mountainous area of Colorado, west of 104 degrees and the study period is constrained to 1980 through 2022. Additionally, two precipitation frequency studies have been regridded, with data extracted for the same geographic region. The gridded precipitation datasets are also sampled at gage locations to facilitate comparison with station data. Elevation data have been regridded to assess how precipitation trends vary with elevation. This data publication also includes the Python script files used to process these data. All program files used to download and manipulate publicly available data are included, as well as the resulting output data files. The associated Joint Fire Science Program report is included as well.

Keywords:

climatologyMeteorologyAtmosphere; Ecology, Ecosystems, & Environment; Hydrology, watersheds, sedimentation; orographic precipitation; Joint Fire Science Program; JFSP; Colorado

Related publications:

• Nelson, Peter A.; White, Phoebe S. 2024. Evaluation of sub-hourly MRMS quantitative precipitation estimates in mountainous terrain using machine learning. Water Resources Research. 60(12): e2024WR037437. https://doi.org/10.1029/2024wr037437
• White, Phoebe S.; Nelson, Peter A. 2024. Characterizing rain storm intensity, duration, and size across an elevation gradient for assessment of post-fire hazards. Joint Fire Science Program Final Report. Project ID: 22-1-01-21. (Included in data package: \Supplements\22-1-01-21_JFSP_final_report.pdf).

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