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PHyDAP - Prairie Hydrology Design and Analysis Product
Federated Research Data Repository / dépôt fédéré de données de recherche
Shook, Kevin R.; He, Zhihua; Spence, Christopher; Whitfield, Colin; Pomeroy, John W — 2023-04-12 The PHyDAP datasets are outputs of CRHM virtual basin models forced by long-term climate data sets, for more than 4,000 basins on the Canadian Prairies. The intent is that the CRHM model outputs will be used for forcing small-scale hydraulic models in the region. By running the hydraulic models for long time periods, the effects of changes in local hydraulics, and/or climate change on return-period flows and/or flooded areas can be assessed. The basins used for the CRHM models are derived from HydroSHEDS (https://www.hydrosheds.org/) as described by Lehner and Grill (2013). The virtual basin models are based on the basin classification described in Wolfe et al. (2019). An example of the use of the virtual basin models is given by Spence et al. (2022). The use of long-term hydrological model outputs to force small-scale hydraulic models is demonstrated by Altraide (2020). Altraide, Kelvin. 2020. “Culvert Assessment and Flood Modelling in Rural Saskatchewan.” Capstone Report. University of Saskatchewan. Lehner, B., Grill, G., 2013. Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes 27, 2171–2186. https://doi.org/10.1002/hyp.9740 Spence, Christopher, Zhihua He, Kevin R. Shook, Balew A. Mekonnen, John W. Pomeroy, Colin J. Whitfield, and Jared D. Wolfe. 2022. “Assessing Hydrological Sensitivity of Grassland Basins in the Canadian Prairies to Climate Using a Basin Classification-Based Virtual Modelling Approach.” Hydrology and Earth System Sciences 26 (7): 1801–19. https://doi.org/10.5194/hess-26-1801-2022. Wolfe, Jared D., Kevin R. Shook, Chris Spence, and Colin J. Whitfield. 2019. “A Watershed Classification Approach That Looks Beyond Hydrology: Application to a Semi-Arid, Agricultural Region in Canada.” Hydrology and Earth System Sciences 23 (9): 3945–67. https://doi.org/10.5194/hess-23-3945-2019.
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Data and code for "Influence of assimilating surface snowpack observations to mountain snowpack simulation with a physically based model"
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Lv, Zhibang; Pomeroy, John W — 2024-02-09 These are the data and code for the manuscript titled 'Influence of assimilating surface snowpack observations on mountain snowpack simulation with a physically based model'  ALLsites_SR50vsUpscaledSnowDepth.csv contains the SR50 sensor measured and upscaled snow depth data at 4 sites in Marmot Creek Research Basin. The four *_ObservationVSSimulations.csv files contain SWE, snow depth, and density from snow survey and OL and DA simulations at the 4 sites in Marmot Creek Research Basin. DA_*_UCUF.m files contain the codes for the five DA experiments in the manuscript. GEM_marmot_array_obs_t,rh,u10,Qsi,Qli,p_13Nov2014-31Aug2017.obs contains the GEM HRDPS forcing data used in the research for Marmot Creek Research Basin. Marmot_Hourly_ArrayMetData_withT_g_13Novt14-31Aug17.obs contains the local observed meterological data in Marmot Creek Research Basin. https://creativecommons.org/licenses/by/4.0/legalcode
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Model code and observational data for the South Saskatchewan River Basin multi-physics CLASS
Federated Research Data Repository / dépôt fédéré de données de recherche
MacDonald, Matthew K.; Essery, Richard L. H.; Pomeroy, John W — 2024-03-27 A refined land surface scheme was developed for application over the South Saskatchewan River Basin. The Canadian Land Surface Scheme (CLASS) version 3.6 coupled to the Prairie Blowing Snow Model (PBSM) was used as the modelling platform within MESH. A multi-physics version of CLASS-PBSM was developed, consisting of two parameterisation options each for fifteen processes, with focus on winter hydrological processes. Energy balance, soil and snow processes were all considered, and each configuration of the multi-physics CLASS-PBSM was evaluated against field observations (snow water equivalent and soil moisture ) from four sites (Cypress Hills, Innisfail East and Kneehill Valley, Kenaston, and Marmot Creek). The model code is included in a zip file. The field observations are included in an excel spreadsheet.
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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.
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Warm-air entrainment and advection during alpine blowing snow events
Federated Research Data Repository / dépôt fédéré de données de recherche
Aksamit, Nikolas; Pomeroy, John W — 2024-03-27 This dataset includes 50 Hz sonic anemometry data, 3-Dimensional wind vectors and sonic temperature, used in the publication “Warm-air entrainment and advection during alpine blowing snow events.” doi.org/10.5194/tc-14-2795-2020. The observations were conducted at the Fortress Mountain Snow Laboratory as part of the PhD work of Nikolas Aksamit. Each file begins at midnight at the beginning of the recording day and runs until the end of the experiment, typically close to midnight. The two anemometers were located on the same steel mast above a constant snow cover. The data spans five days from Nov 20 2015 to Mar 3 2016. The depth of snow fluctuated between the days of observation causing the anemometer height above the snow to vary between 20 and 50 cm for the lower anemometer and 120 and 150 cm. The purpose of the study was to connect turbulent structures as identified in these time series with blowing snow transport measured immediately below the mast. No preprocessing of the data has been performed and caution should be taken to avoid measurements that were contaminated by blowing snow particles. https://creativecommons.org/licenses/by/4.0/
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A multi-scale meteorological dataset of the June 2013 flood in Southern Alberta, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Vionnet, Vincent; Fortin, Vincent; Gaborit, Étienne; Roy, Guy; Abrahamowicz, Maria; Gasset, Nicolas; Pomeroy, John W — 2024-03-27 From June 19 to June 22, 2013, intense rainfall and concurrent snowmelt led to devastating floods in the Canadian Rockies, foothills and downstream areas of southern Alberta (Canada). The complexity of the topography in the upper catchments and the presence of snow at high elevations made, among other factors, hydrological forecasting challenging for this extreme event. This dataset contains an ensemble of variables at different resolutions (10, 2.5 and 1 km) that can be used to drive hydrological models during this extreme event. The latest operational version of the Canadian Numerical Weather Prediction model GEM (Global Environmental Multi-scale) was used to recreate the atmospheric conditions during the flooding event. Short-term 12-h forecasts were produced 4 times per day from 18 June 2013 00 UTC to 22 June 2013 12 UTC. Four 6-h quantitative precipitation estimation products were then generated using the Canadian Precipitation Analysis (CaPA) system by varying (i) the station density (especially in the upper parts of the catchments) and (ii) the horizontal resolution of the GEM precipitation background. https://creativecommons.org/licenses/by/4.0/
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Virtual Watershed Model Simulations for Typified Prairie Watersheds in Pothole Till
Federated Research Data Repository / dépôt fédéré de données de recherche
He, Zhihua; Spence, Christopher; Shook, Kevin R.; Pomeroy, John W; Whitfield, Colin; Wolfe, Jared — 2024-03-27 The dataset is comprised of inputs to and outputs from the Cold Regions Hydrological Model (CRHM) when it was run as a virtual model of the Pothole Till class, as defined by Wolfe et al. (2019). These watersheds represented typified prairie watersheds based on physiogeography and coherent response to environmental change. Model parameters were informed by the results of Wolfe et al. (2019). The .prj files necessary to run the virtual models are included in the dataset. Climate forcing data are from the Adjusted and Homogenized Canadian Climate Dataset from a cohort of stations contained within each watershed class and cover a period from 1960-2006. There are a series of wetland drainage scenarios that progressively reduced the wetland depression area and storage capacity by increments of 10%. Model output includes hourly catchment outflow, and depression water storage in the HRUs for the baseline and each scenario. https://creativecommons.org/licenses/by/4.0/
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Virtual Watershed Model Simulations for Typified Prairie Watersheds in Seven Basin Classes
Federated Research Data Repository / dépôt fédéré de données de recherche
He, Zhihua; Shook, Kevin R.; Spence, Christopher; Pomeroy, John W; Whitfield, Colin — 2025-01-20 The dataset is comprised of inputs to and outputs from the Cold Regions Hydrological Model (CRHM) when it was run as a virtual model of the seven prairie basin classes, as defined by He et al. (2023). These watersheds represented typified prairie watersheds based on physiogeography and coherent response to environmental change. Model parameters were informed by the results of He et al. (2023). The .prj files necessary to run the virtual models are included in the dataset. Climate forcing data are from the Adjusted and Homogenized Canadian Climate Dataset from a cohort of stations contained within each watershed class and cover a period from 1960-2006. There are a series of climate sensitivity scenarios that include applying a delta method to the original climate data (i.e., 1°C increments of warming, and -20%, +10%, +20% and +30% of precipitation). Model output includes hourly catchment outflow, and depression water storage in the HRUs for the baseline and each scenario. There are also a series of wetland drainage scenarios that progressively reduced the wetland depression area. https://creativecommons.org/licenses/by/4.0/
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Virtual Watershed Model Simulations for Wetland Drainage and Restoration in Six Prairie Basin Classes
Federated Research Data Repository / dépôt fédéré de données de recherche
He, Zhihua; Shook, Kevin R.; Spence, Christopher; Pomeroy, John W; Whitfield, Colin — 2025-01-14 The dataset is comprised of inputs to and outputs from the Cold Regions Hydrological Model (CRHM) when it was run as a virtual model of six prairie basin classes, as defined by He et al. (2023). These watersheds represented typified prairie watersheds based on physiogeography and coherent response to environmental change. Model parameters were informed by the results of He et al. (2023). The .prj files necessary to run the virtual models are included in the dataset. Climate forcing data are from the Adjusted and Homogenized Canadian Climate Dataset from ten stations over the Prairies and cover a period from 1960-2006. There are a series of wetland drainage and restoration scenarios that progressively reduced and increased the wetland depression area. Model output includes hourly catchment outflow, snow sublimation, soil moisture, and depression water storage in the HRUs for the baseline and each wetland management scenario. https://creativecommons.org/licenses/by/4.0/
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UAV-borne gamma spectrometry and lidar observations of prairie snow water equivalent
Federated Research Data Repository / dépôt fédéré de données de recherche
Harder, Phillip; Helgason, Warren; Pomeroy, John W — 2024-03-27 Gamma and lidar observations from a UAV were collected over two seasons from shallow, wind-blown, prairie snowpacks in Saskatchewan, Canada with validation data collected from manual snow depth and density observations. The data included herein includes the snow survey point observations, the gamma spectrometer count rates, and raster’s of snow depth (at 0.25m resolution) and snow water equivalent from combining lidar snow depth and manual snow density observations at 0.25 and 22.5m resolutions, and snow water equivalent directly from gamma observations at 22.5m. This dataset provides the means to test the ability of UAV-gamma spectroscopy to resolve the areal average and spatial variability of snow water equivalent directly. Data processing and analysis is described in the associated submitted manuscript: Harder, P., Helgason, W.D., Pomeroy, J.W. 2023. Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar. Submitted to The Cryosphere November 2023. https://creativecommons.org/licenses/by/4.0/
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Virtual Watershed Model Simulations for Typified Prairie Watersheds in High Elevation Grasslands
Federated Research Data Repository / dépôt fédéré de données de recherche
He, Zhihua; Spence, Christopher; Shook, Kevin R.; Whitfield, Colin J.; Pomeroy, John W; Wolfe, Jared — 2024-03-27 The dataset is comprised of inputs to and outputs from the Cold Regions Hydrological Model (CRHM) when it was run as a virtual model of the High Elevation Grasslands class, as defined by Wolfe et al. (2019). These watersheds represented typified prairie watersheds based on physiogeography and coherent response to environmental change. Model parameters were informed by the results of Wolfe et al. (2019). The .prj files necessary to run the virtual models are included in the dataset. Climate forcing data are from the Adjusted and Homogenized Canadian Climate Dataset from a cohort of stations contained within each watershed class and cover a period from 1960-2006. There are a series of climate sensitivity scenarios that include applying a delta method to the original climate data (i.e., 1°C increments of warming, and -20%, +10%, +20% and +30% of precipitation). Model output includes hourly catchment outflow, rainfall, snowfall, snow sublimation and snow water equivalent for the baseline and each scenario.
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Characterization of high mountain glacier microbiota following inundation with wildfire soot
Federated Research Data Repository / dépôt fédéré de données de recherche
Esser, Milena; Ankley, Phillip; Aubry-Wake, Caroline; Xie, Yuwei; Baulch, Helen; Hoggarth, Cameron; Hecker, Markus; Hollert, Henner; Giesy, John; Pomeroy, John W; Brinkmann, Markus — 2024-03-27 Glacier ecosystems are shrinking at an accelerating rate due to changes in climate, but also due to increased deposition of soot, which has resulted in darkening of glacier surfaces and subsequent changes in absorption of light, associated heat, and altered microbial communities. In this study, compositions of microbial communities on surfaces of the Athabasca Glacier (Alberta, Canada) were measured by use of DNA metabarcoding. Three matrices, glacier ice, cryoconite hole, and glacial surface sediment, were analyzed. The samples were extracted for DNA and were PCR amplified targeting the hypervariable V3-V4 region of the 16S ribosomal RNA subunit I gene of prokaryotes, as well as the hypervariable V3 region of the 18S ribosomal RNA gene of eukaryotic organisms. Amplicons were sequenced performing a 600-cycle paired-end sequencing run on an Illumina® MiSeq sequencer. This dataset includes the demultiplexed sequencing output, the feature table with taxonomic annotation, and the sample metadata. https://creativecommons.org/licenses/by/4.0/

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(Author: Pomeroy, John W)

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