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53 results for “Snow Water Equivalent”
Dataset for: Neutrons on Rails -- trans-regional monitoring of soil moisture and snow water equivalent
<p>Using the railway system for regular environmental monitoring could extend the measurement capability to trans-regional and nationwide scales. Cosmic-ray neutron detectors in trains respond to spatial patterns of water content in their environment. Three distinct real world experiments support a proof of concept for soil and snow water monitoring using trains on short and long-range tracks across Germany:</p> <ul> <li>Supplement S4: Data (raw and processed) for the train journey from Leipzig to Berlin.</li> <li>Supplement S5: Data (raw and processed) for the train journey from Dessau to Zerbst, the subsequent car-borne Rover measurements, and the TDR measurements.</li> <li>Supplement S6: Data (raw and processed) for the train journey from Garmisch-Partenkirchen to Munich to Leipzig.</li> </ul> <p>This is the dataset supplementing the corresponding GRL publication "Neutrons on Rails -- trans-regional monitoring of soil moisture and snow water equivalent", preprint available from: https://doi.org/10.1002/essoar.10507363.1</p>
Snow water equivalent at the Gruvebadet Snow Resarch Site ( NY-Alesund, Svalbard, Norway)
<p>The automated nivological station was installed in November 2020 in a flat area over the tundra about 80 meters far from the Gruvebadet Atmospheric Laboratory and nearby a snow sampling site from where weekly snow samples are collected for chemical analysis. Sensors have been calibrated by their companies before installation and are connected to a datalogger for continuous acquisition. For all the parameters, data are logged with 10-minute time resolution and then averaged over 1 hour.</p>
Historical Daily Snow Water Equivalent (SWE) Estimations over the Western US and the Rocky Mountains
<p>model weights: DL model weights for SWE prediction for SNOTEL stations over the Western US. </p> <p>prediction: DL model predictions for SNOTEL SWE observations. </p> <p>[model]_clean_lats: SWE estimation over the Rocky Mountains with models trained on SNOTEL stations. </p> <p>[model]_hist_clean_lats: Historical SWE estimation over the Rocky Mountains with models trained on SNOTEL stations. </p> <p>[model]_relative_clean_lats: SWE fraction estimation over the Rocky Mountains with models trained on SNOTEL SWE fractions. </p> <p>code_SWE_main: necessary code for SWE modeling. </p> <p>corresponding code repository: https://github.com/ShihengDuan/code-SWE</p> <p> </p>
Review data for: SnowQM 1.0: A fast R Package for bias-correcting spatial fields of snow water equivalent using quantile mapping
<p>Climatology of snow water equivalent of Switzerland between winters 1962 and 2021. Obtained using quartile mapping between a model using data assimilation since 1998 and a model without data assimilation. This version of the dataset corresponds to the publication revision time. The publication has been submitted to GMD Copernicus journal as: <em>SnowQM 1.0: A fast R Package for bias-correcting spatial fields of snow water equivalent using quantile mapping</em></p>
L-band InSAR snow water equivalent retrievals over Fraser Experimental Forest, Colorado
Open the record for dataset details and reuse information.
End-Century Daily Snow Water Equivalent (SWE) Projections with LSTM model
<p>CMIP5 climate models: CESM-CAM5 (CESM), CNRM-CM5 (CNRM), EC-EARTH (EC), HadGEM2-ES (HadGEM), MIROC5, and GFDL-ESM2M (GFDL). LOCA downscaled forcings are used as inputs to the LSTM model. 'RCP' stands for RCP8.5 and 'hist' for historical simulations. </p> <p>Corresponding code repository: https://github.com/ShihengDuan/code-SWE</p>
Data and GrADS scripts for "Changes in March mean snow water equivalent since the mid-twentieth century and the contributing factors in reanalyses and CMIP6 climate models", submitted to The Cryosphere
<p>Data and GrADS (Grid Analysis and Display System) scripts for reproducing the figures and numerical results included in the manuscript "Changes in March mean snow water equivalent since the mid-twentieth century and the contributing factors in reanalyses and CMIP6 climate models". Revised for The Cryosphere in March 2023.</p> <p>In addition to the README file, there are two zipped archives:</p> <p>swe_trends.zip (2.3 GB) includes both the data (mostly as GrADS binaries), the GrADS data descriptor files and the scripts.</p> <p>swe_trends_no_data.zip (74 kB) includes just the scripts and the data descriptor files.</p> <p>Please see the README file for further details on the content and use of the archives.</p>
SWECA: High-resolution daily Snow Water Equivalent estimates for Mountainous Central Asia (1979–2016)
<p>The dataset provides daily estimates of snow water equivalent (SWE) for Central Asia, at a spatial resolution of 1km, covering the period from 1979 to 2016. The dataset were generated within the <a href="https://www.iamo.de/en/research/research-projects/details/sweca/">SWECA</a> project, supported by GEO Mountains under the Adaptation at Altitude Programme (Swiss Agency for Development and Cooperation Project Number: 7F-10208.01.02).</p> <p><strong>Spatial Domain:</strong><br>The dataset encompasses the Central Asian region within the bounding coordinates 61W, 81E, 44N, 34S, which covers the Tian-Shan and Pamir mountains, a larger extent of the Hindukush mountains, and the northern part of the Karakoram mountains.</p> <p><strong>Data Generation and Validation:</strong><br>The SWE data was generated using the <a href="../records/10161423">GEMS snow mode</a>l (Umirbekov, Essery, and Müller, 2024), forced by CHELSA-W5E5 daily climate data (Karger et al., 2023). Simulated SWE was validated using historical records of SWE from 1980 to 1992 from Central Asian Snow Survey database (Bedford and Tsarev, 2001), and by comparing extent of the modelled SWE with MODIS derived snowcover for two consecutive hydrological years (2015-2016). Data generation procedures and validation results will be provided in upcoming data description paper (TBD).</p> <p><strong>File Descriptions:</strong><br>The daily SWE estimates (in millimeters) are compiled into 37 GeoTIFF files, each corresponding to a hydrological year from 1979 to 2016. The hydrological year begins on October 1st and concludes on September 30th of next year. To avoid the need for auxiliary files, the corresponding date of each layer in the GeoTIFF file is incorporated as a layer`s name. </p> <p>References: </p> <ul> <li>Bedford, D. and Tsarev, B. (2001) ‘Central Asian Snow Cover from Hydrometeorological Surveys, Version 1 [Dataset]’. Boulder, Colorado USA.: National Snow and Ice Data Center. doi: <a href="https://doi.org/10.7265/N51Z4291">10.7265/N51Z4291</a>.</li> <li>Karger, D. N. et al. (2023) ‘CHELSA-W5E5: daily 1km meteorological forcing data for climate impact studies’, Earth System Science Data, 15(6), pp. 2445–2464. doi: <a href="https://doi.org/10.5194/essd-15-2445-2023">10.5194/essd-15-2445-2023</a>.</li> <li>Riggs, G., Hall, D. and Salomonson, V. (2019) ‘MODIS snow products user guide to collection 6.1: MODIS-derived snow cover retrievals using the cloud-gap-filled MOD10A1F product’.</li> <li>Umirbekov, A., Essery, R. and Müller, D. (2024) ‘GEMS v1.0: Generalizable Empirical Model of Snow Accumulation and Melt, based on daily snow mass changes in response to climate and topographic drivers’, Geoscientific Model Development, 17(2), pp. 911–929. doi: <a href="https://doi.org/10.5194/gmd-17-911-2024">10.5194/gmd-17-911-2024</a>. </li> </ul>
30-years (1991-2021) Snow Water Equivalent Dataset in the Po River District, Italy
<p>This project hosts SWE data over the Po River District. For more information about the data and its usage, please refer to the corresponding data paper, which is submitted to the Scientific Data Journal.</p> <p>This spatial dataset is distributed as daily over a period of 30 years from 1991 to 2021, beginning on October 3rd of each year up to July 1th of next year. The data is distributed in GeoTIFF format with a spatial resolution of 500 m by 500 m. The data is organised into folders labelled with corresponding years, such as, “1991_1992”, which means within the particular folder, there are for example the data from October 3, 1991 to July 1, 1992 and so on for the subsequent years. Moreover, each daily data file follows a consistent naming convention, such as SWE on October 3, 1991 is named as “SWE_1991-10-03.tif”.<br>The data is being distributed as a georeferenced temporal raster data and therefore, can be processed and visualised using any GIS; furthermore, any programming language with GIS capabilities can be used to analyse and visualise the data</p>
CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2
This data set is a daily gridded terrestrial snow water equivalent (SWE) dataset based on five component SWE products:<ul><li><a href="http://www.globsnow.info">GlobSnow combined SWE product (passive microwave/ground-based weather station, version 2)</a></li><li><a href="http://apps.ecmwf.int/datasets/.">ERA-Interim/Land reanalysis SWE product</a></li><li><a href="http://gmao.gsfc.nasa.gov/pubs/docs/Reichle541.pdf">MERRA reanalysis SWE product </a></li><li>Crocus SWE data set: output from the Crocus snowpack model, driven by ERA-Interim meteorology (<a href="http://dx.doi.org/10.1175/JHM-D-12-012.1">Brun et al. 2013</a>)</li><li>GLDAS SWE product (version 2) (<a href="http://dx.doi.org/10.1175/BAMS-85-3-381">Rodell et al. 2004</a>; <a href="http://dx.doi.org/10.5067/0JNJQ8ZDZRBA">Rodell and Beaudoing 2013</a>)</li></ul>
BOREAS HYD-03 Snow Water Equivalent Data
The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of snow depth, snow density in 3-cm intervals, an integrated snow pack density and snow water equivalent (SWE), and snow pack physical properties from snow pit evaluation taken in 1994 and 1996. The data were collected from several sites in both the SSA and the NSA. A variety of standard tools were used to measure the snowpack properties, including a meter stick (snow depth), a 100 cc snow density cutter, a dial stem thermometer and the Canadian snow sampler as used by HYD-04 to obtain a snow pack-integrated measure of SWE. This study was undertaken to predict spatial distributions of snow properties important to the hydrology, remote sensing signatures, and the transmissivity of gases through the snow.
BOREAS HYD-03 Snow Water Equivalent: 1996
The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of snow depth, snow density in 3-cm intervals, an integrated snow pack density and snow water equivalent (SWE), and snow pack physical properties from snow pit evaluation taken in 1994 and 1996. The data were collected from several sites in both the SSA and the NSA. A variety of standard tools were used to measure the snowpack properties, including a meter stick (snow depth), a 100 cc snow density cutter, a dial stem thermometer and the Canadian snow sampler as used by HYD-04 to obtain a snow pack-integrated measure of SWE. This study was undertaken to predict spatial distributions of snow properties important to the hydrology, remote sensing signatures, and the transmissivity of gases through the snow.
NRT AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V2
The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Global Daily Snow Water Equivalent data set contains snow water equivalent (SWE) data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/daysnow/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science.
BOREAS HYD-02 Estimated Snow Water Equivalent (SWE) from Microwave Measurements
The surface meteorological data collected at the BOREAS tower and ancillary sites are being used as inputs to an energy balance model to monitor the amount of snow storage in the boreal forest region. The BOREAS HYD-02 team used snow water equivalent (SWE) derived from an energy balance model and in situ observed SWE to compare the SWE inferred from airborne and spaceborne microwave data, and to assess the accuracy of microwave retrieval algorithms. The major external measurements that are needed are snowpack temperature profiles, and in situ snow areal extent and snow water equivalent data. The data in this data set were collected during February 1994 and cover portions of the SSA, NSA, and the transect areas.
Global Monthly EASE-Grid Snow Water Equivalent Climatology, Version 1
This data set comprises global, monthly satellite-derived Snow Water Equivalent (SWE) climatologies from November 1978 through May 2007, with periodic updates released as resources permit. Global data are gridded to the Northern and Southern 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Global snow water equivalent is derived from Scanning Multichannel Microwave Radiometer (SMMR) and selected Special Sensor Microwave/Imagers (SSM/I). Northern Hemisphere data are enhanced with snow cover frequencies derived from the Northern Hemisphere EASE-Grid Weekly Snow Cover and Sea Ice Extent Version 2 data (these data were not produced for the Southern Hemisphere). The data are binary data files and PNG images, and are available via HTTPS.
Snow water equivalent for reference date April 1 for Wägital catchment, 1943-2025
<p>Total water reserves of the snow cover [mio m3] for Wägital catchment, Switzerland, for reference date April 1. Data is separated in 2 elevation zones 900m-1500m asl and 1500m-2300m asl. Time period 1943-2025, status 2025-04-30.</p><p>Funded currently or in the past by</p><ul><li>Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland</li><li>Meteodat GmbH</li><li>Institute of Geography, University of Zurich</li><li>WSL Institute for Snow and Avalanche Research SLF</li><li>Institute of Geography, ETH Zurich (IAC ETH Zurich)</li><li>AG Kraftwerk Wägital (AXPO and EWZ)</li></ul><br><p>See also <a href="https://www.meteodat.ch/waegital.html">https://www.meteodat.ch/waegital.html</a></p>
SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR CMP Snow Water Equivalent V001
This data set was collected during the SnowEx 2020 Intensive Observation Period (IOP) in Grand Mesa, Colorado. These data contain snow water equivalent (SWE) estimates. SWE is derived from Sensors & Software pulseEKKO PRO 1 GHz multi-polarization ground penetrating radar (GPR) two-way travel times. Data were collected at three locations around Grand Mesa IOP snow pits 2N12 and 1S8 (see DOI: 10.5067/DUD2VZEVBJ7S for more details on Grand Mesa IOP snow pits). Data at snow pit 2N12 were acquired on the groomed snowmobile road (CMP1), in the fresh snow behind the snow pit wall (CMP2), and in the right rut of the SUSV track (CMP3). Data at snow pit 1S8 were acquired in the right rut of the SUSV track (CMP1), in the left rut of the SUSV track (CMP2), and in the fresh snow behind the snow pit wall (CMP3). The raw version of these data (DOI: 10.5067/CL5ZRBCEF8G3) are also archived at NSIDC.
AMSR-E/Aqua 5-Day L3 Global Snow Water Equivalent EASE-Grids V002
These Level-3 Snow Water Equivalent (SWE) data sets contain SWE data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids).
AMSR-E/AMSR2 Unified L3 Global Monthly 25 km EASE-Grid Snow Water Equivalent V001
This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides monthly mean estimates of Snow Water Equivalent (SWE). SWE was derived from brightness temperature measurements acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on board the JAXA GCOM-W1 satellite. The SWE data is rendered to an azimuthal 25 km Equal-Area Scalable Earth Grid (EASE-Grid) for both the Northern and Southern Hemisphere. Note: This data set uses JAXA AMSR2 Level-1R (L1R) input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 L1R products.
AMSR-E/AMSR2 Unified L3 Global 5-Day 25 km EASE-Grid Snow Water Equivalent V001
This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides 5-day maximum estimates of Snow Water Equivalent (SWE). SWE was derived from brightness temperature measurements acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on board the JAXA GCOM-W1 satellite. The SWE data is rendered to an azimuthal 25 km Equal-Area Scalable Earth Grid (EASE-Grid) for both the Northern and Southern Hemisphere. Note: This data set uses JAXA AMSR2 Level-1R (L1R) input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 L1R products.
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