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5 results for “rain-on-snow events”
Supplementary data: Rain-on-snow events in mountainous catchments under climate change
<p>The file in this record represents supplementary data for the journal paper Hotovy, O., Nedelcev, O., Seibert, J., Jenicek, M. (2024): Rain-on-snow events in mountainous catchments under climate change submitted to Hydrology and Earth System Sciences.<br>The presented files contain daily simulations of the HBV rainfall-runoff model for 93 mountain catchments in Czechia, Germany and Switzerland. The model simulated different water balance components, such as runoff, base flow, snow water equivalent, evapotranspiration, and soil and groundwater storages for the study period 1980-2010 as well as hydrological projections assuming different increases in air temperature and precipitation.</p>
The Application of a Snowpack Runoff Decision Support System for Rain-on-Snow Events Dataset
<p>This work was funded by the State of Nevada - Department of Transportation award No. P296-22-803 and UCAR COMET Outreach Program SUBAWD004566. </p>
Dataset from "Impact of intercepted and sub-canopy snow microstructure on snowpack response to rain-on-snow events under a boreal canopy"
<p>The dataset presented below is described in the paper "Impact of rain-on-snow events on snowpack structure and runoff under a boreal canopy" by Bouchard et al. (submitted in December 2023) in the journal The Cryosphere.</p><p>The original dataset includes <strong>sub-canopy snow monitoring data</strong> collected at the Montmorency Forest site (MF; 47.29°N, 71.17°W, elev. » 850 m above mean sea level (AMSL)) from 2018 to 2023 and at the Bernard River Valley site (BRV; 50.91°N; 63.37°W, elev. » 250 m. AMSL) from 2019 to 2023. MF is a balsam fir-white birch stand on a 12° northeast-facing slope. BRV is a valley surrounded by plateaus 200 m higher. The dataset covers the period from October 15 to June 15 of each year. In the monitoring dataset you can find the hourly time step:</p><ul><li>Snow height (cm) <i>– all years at both sites</i></li><li>Soil-snow interface temperature (°C) <i>– 2020 to 2023 at both sites</i></li><li>Snow temperature every 15 cm from the ground surface (°C)<i> – 2020 to 2023 at both sites</i></li><li>Snow surface temperature (°C) –<i> 2018-19 and from 2020 to 2023 at MF site</i></li><li>Air temperature (°C)<i> – 2020 to 2023 at both sites</i></li></ul><p>The dataset also includes a total of <strong>48 sub-canopy snow pit observations</strong> taken at the MF (42 snow pits) and BRV (6 snow pits) sites during the study period. Each snow pit contains the vertical profile of snow stratigraphy (grain type) and snow density. The snow pit height corresponds to the upper limit of the top snow layer in the stratigraphic profile. For density measurements, the height value corresponds to the center of the 3 cm thick box cutter. Grain type codes for the snowpack stratigraphy correspond to the International Classification for Seasonal Snow (Fierz et al., 2009):</p><ul><li>PP: precipitation particles</li><li>DF: decomposed and fragmented precipitation particles</li><li>RG: rounded grains</li><li>FC: faceted crystals</li><li>FCxr: rounding faceted particles</li><li>DH: depth hoar</li><li>MFpc: melt forms – rounded polycrystals</li><li>MF: melt forms – clustered rounded grains</li><li>MFcr: melt forms – melt-freeze crusts</li><li>IF: ice formations</li></ul><p>Finally, the dataset includes <strong>all observed rain-on-snow (ROS) events</strong> at both sites from November to March, covering the period 2018-2023 at the MF site and the period 2019-2023 at the BRV site. In the ROS dataset, we present the start and end dates, as well as the duration, rainfall amount, and mean air temperature of each event.</p>
Data for journal article: "Improving medium-range forecasts of rain-on-snow events in pre-alpine areas"
<p>This dataset contains scripts and data in R software environment format used for the journal article "Improving medium-range forecasts of rain-on-snow events in pre-alpine areas" submitted to Water Resources Research.</p>
Algorithmically Detected Rain-on-Snow Flood Events in Different Climate Datasets: A Case Study of the Susquehanna River Basin
<p>This archive contains masked data over the Susquehanna River Basin and associated Python code to reproduce the findings of the manuscript "Algorithmically Detected Rain-on-Snow Flood Events in Different Climate Datasets: A Case Study of the Susquehanna River Basin." Additional water year analysis not included in the manuscript are also tarred in this archive.</p>
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International Brain Laboratory public data
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OpenNeuro
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