Codes
- Weather Research and Forecasting Model code-wrapper (python)
- WRF-Hydro Model Calibration/wrapper (python)
- Atmospheric River Identification Code (python)
- NRCS Snotel Data Downloader (python)
- Py-Ncviewer (python) beta
Datasets
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Rudisill W ; Vincent A ; Nash C ; Flores A (2022): Dynamically Downscaled (WRF) 1km, Hourly Meteorological Conditions 1987-2020. East/Taylor Watersheds. Science Area 1: Standard Award: Model-Data Fusion to Examine Multiscale Dynamical Controls on Snow Cover and Critical Zone Moisture Inputs, ESS-DIVE repository. Dataset. doi:10.15485/1845448 accessed via https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1845448 on 2022-04-24
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Houser, P., W. Rudisill, J. Johnston, K. Elder, H. Marshall, C. M. Vuyovich, E. J. Kim, and M. Mason. (2022). SnowEx Meteorological Station Measurements from Grand Mesa, CO, Version 1 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/497NQVJ0CBEX. Date Accessed 02-28-2023.
Conference Materials
- AGU 2023 Poster 1 (PDF)
- AGU 2023 Poster 2 (PDF)
- ARM/ASR Meeting 2023 Poster (PDF)
- AGU 2021. Recorded Talk (youtube link)
- AMS 2021. Poster (PDF)
- AGU 2019. Poster (PDF)
Peer-Reviewed Manuscripts
- Alan M. Rhoades et al. “Anticipating how rain-on-snow events will change through the 21st century: lessons from the 1997 new year’s flood event”. Clim. Dyn. (2024), pp. 1–23. doi: 10.1007/s00382- 024-07351-7.
- William Rudisill et al. “Are atmospheric models too cold in the mountains? The state of science and insights from the SAIL field campaign”. Bull. Am. Meteorol. Soc. -1.aop (2024). doi: 10.1175/BAMS- D-23-0082.1.
- D. R. Feldman et al. “The Surface Atmosphere Integrated Field Laboratory (SAIL) campaign”. Bull. Am. Meteorol. Soc. -1.aop (2023). doi: 10.1175/bams-d-22-0049.1.
- William Rudisill, Alejandro Flores, and Rosemary Carroll. “Evaluating 3 decades of precipitation in the Upper Colorado River basin from a high-resolution regional climate model”. Geosci. Model Dev. 16.22 (2023), pp. 6531–6552. doi: 10.5194/gmd-16-6531-2023.
- William Rudisill et al. “Cold-Season Precipitation Sensitivity to Microphysical Parameterizations: Hy- drologic Evaluations Leveraging Snow Lidar Datasets”. J. Hydrometeorol. 1.aop (2023). doi: 10.1175/ JHM-D-22-0217.1.
- William Rudisill, Kendra Kaiser, and Alejandro Flores. “Evaluating long-term One-Way Atmosphere- Hydrology simulations and the impacts of Two-Way coupling in four mountain watersheds”. Hydrol. Process. 36.5 (2022). doi: 10.1002/hyp.14578.
- William Rudisill, Alejandro Flores, and James McNamara. “The Impact of Initial Snow Conditions on the Numerical Weather Simulation of a Northern Rockies Atmospheric River”. J. Hydrometeorol. 22.1 (2021), pp. 155–167. doi: 10.1175/JHM-D-20-0018.1