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Basin Geometry and Mountain Snowpack Responses to Climate Change: Data, Code, and Figures
Federated Research Data Repository / dépôt fédéré de données de recherche
Shea, Joseph M.; Whitfield, Paul H.; Fang, Xing; Pomeroy, John W — 2024-03-27 This dataset contains the code and data files needed to produce the analyses and figures in Shea et al. (2021), doi:10.3389/frwa.2021.604275. The data used in this study are derived from publicly available data sets. These include global elevation data, river basin boundaries, climate normals, automated snow pillows, and manual snow course observations. The Cold Regions Hydrological Model (CRHM, v.05/15/19) was used to produce daily estimates of snowmelt for 50 basins using identical elevation ranges and bands, identical accumulation gradients, and identical climate inputs. Only the hypsometry (area-elevation distribution) was varied for each model run. Analysis of hypsometry, climate inputs, and CRHM outputs is given in a Jupyter notebook running Python 3.7.6.
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
EMDNA: Ensemble Meteorological Dataset for North America
Federated Research Data Repository / dépôt fédéré de données de recherche
Tang, Guoqiang; Clark, Martyn P.; Papalexiou, Simon Michael; Newman, Andrew J.; Wood, Andrew W.; Brunet, Dominique; Whitfield, Paul H. — 2024-04-25 The Ensemble Meteorological Dataset for North America (EMDNA) contains daily precipitation, mean daily temperature, and daily temperature range at the 0.1-degree resolution from 1979 to 2018. Minimum and maximum temperature can be calculated from mean temperature and temperature range. EMDNA merges station observations and reanalysis model outputs to improve the quality of estimates. The dataset is expected to be useful for hydrological and meteorological applications in North America. Two types of datasets are provided by EMDNA, including the probabilistic dataset and the deterministic dataset. The probabilistic dataset has 100 equally plausible ensemble members, which can be used to evaluate the impact of the uncertainties in a myriad of applications. The deterministic dataset is generated during the production of ensemble members and can be applied in studies that do not need uncertainty estimation. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Bow River at Banff (05BB001) Stage and Discharge Measurements
Federated Research Data Repository / dépôt fédéré de données de recherche
Whitfield, Paul H.; Pomeroy, John — 2024-03-27 Stage Discharge measurements and metadata for 1091 stage discharge measurements made from 1909 to 1986 were extracted from paper records and combined with the 387 made between 1987 and 2015 that were available in electronic form. Measurements had been recorded in Imperial units from 1909 to 1976; these were extracted and put into electronic form and then converted to metric units. https://creativecommons.org/publicdomain/zero/1.0/

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(auteur : Whitfield, Paul H.)

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