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16 results for “CryoSat-2”
Arctic sea ice radar freeboard from ERS-1, ERS-2, Envisat and CryoSat-2
<p>This dataset presents a radar freeboard time series from 1993 to 2021 for Arctic sea ice. Envisat, ERS-2 and ERS-1 radar freeboards have been estimated using CryoSat-2 as a reference, they are "SAR-like" estimations as they have been calibrated on CS-2 SAR TFMRA50 radar freeboard. </p>
University of Tromso Arctic Ocean freeboard and snow depth product from CryoSat-2, AltiKa and ICESat-2
<p>Dual-frequency snow depth estimates for the Arctic Ocean in Oct-Apr 2018-2023 derived from gridded 25-km resolution CryoSat-2 and SARAL AltiKa radar freeboards and ICESat-2 laser freeboards. Waveform modelling approach applied to radar altimeters, ICESat-2 laser altimetry freeboards from ATL20 r004. See acompanying publication in The Cryosphere for further details.</p>
Antarctic Sea Ice Thickness Estimates from CryoSat-2: 2010-2021
<p><strong>*Preliminary data associated with manuscript submission to The Cryosphere*</strong></p> <p>Gridded estimates of Antarctic sea ice physical properties derived from CryoSat-2 Baseline-D SAR and SARIn data spanning July 2010 through August 2021. Data are generated using the CryoSat-2 Waveform-Fitting method for Antarctic sea ice (CS2WFA). Files include:</p> <ul> <li>CS2WFA_25km_YYYYMM.nc: Monthly mean values gridded on the NSIDC 25km polar stereographic grid. Each file represents 1 month of data (134 files total).</li> </ul> <p>Each monthly file contains:</p> <ul> <li>latitude, longitude, and time (in months since January 2000)</li> <li>Grids of retrieved snow depth, snow freeboard, ice freeboard, and sea ice concentration</li> <li>Grids of seasonal snow, sea ice, and seawater density</li> <li>Grids of sea ice thickness and estimated thickness uncertainty, as well as thickness estimated using a 70% threshold retracker and using a zero-ice-freeboard assumption.</li> </ul>
Climate Record of Wintertime Wave-Affected Marginal Ice Zones in the Atlantic Arctic based on CryoSat-2,2010-2022
<p>This record contains data related to article "A 12-Year Climate Record of Wintertime Wave-Affected Marginal Ice Zones in the Atlantic Arctic based on CryoSat-2 ". Wave-affected marginal ice zone (MIZ) is an integral part of the sea ice cover, and a key region for air-ice-sea interactions in polar regions. We develop a novel retrieval algorithm for wave-affected MIZs based on the delay-Doppler radar altimeter onboard CryoSat-2 (CS2). CS2 waveform power and the waveform stack statistics are used to determine the MIZ locations. Based on the CS2 data since 2010, we generate a record of wave-affected MIZs in the Atlantic Arctic, spanning 12 winters between 2010 and 2022.</p> <p>The dataset contains two parts. First, the txt file contains retrieved MIZ locations obtained from each single track. Each column of data is represented by the corresponding CS2 product name, year, month, day, hour, regional flag (1:GS region,2:NS region,3:BS region), the start longitude and latitude of the marginal ice zone on each track, the end longitude and latitude of the marginal ice zone.</p> <p>Second,the gridded dataset is based on the along-track MIZ retrieval results, and it records the presence of the MIZ on the monthly basis. The latitude-longitude grid is adopted, with 2 degrees of longitude spacing and 1 degree of latitude spacing. Each file contains the following variables: the time, the MIZ flag, and the location flag. In this new version, we provide files in both NetCDF and GeoTIFF formats for users to download.</p>
Dataset (CryoSat-2 altimetry data over Brahmaputra River, river masks, model cross sections) used in Schneider et al., 2017. doi:10.5194/hess-2016-243
<p>Dataset used in</p> <p>Schneider, R., Nygaard Godiksen, P., Villadsen, H., Madsen, H., Bauer-Gottwein, P., 2017. Application of CryoSat-2 altimetry data for river analysis and modelling. Hydrol. Earth Syst. Sci.rticle. doi:10.5194/hess-2016-243</p> <p>The dataset contains</p> <ul> <li>CryoSat-2 satellite altimetry data over the Brahmaputra River from 2010 to 2013</li> <li>River masks, derived from Landsat NDVI imagery, used to filter the CryoSat-2 data</li> <li>Results from the cross section calibration described in Schneider et al., 2017</li> </ul> <p>All data is provided as a .zip file which includes a README.txt with more details on the data.</p> <p> </p>
SDUST2024MSS_AO: a mean sea surface model of the Arctic Ocean based on CryoSat-2 SAR altimeter data
<p>This model is a mean sea surface model for ice-covered regions, using CryoSat-2 satellite SAR mode altimeter data from July 2010 to December 2023. The heights are referenced to the WGS-84 ellipsoid, and the grid size is 5 km × 5 km.</p>
10-year glacier mass changes from CryoSat-2 radar altimetry
<p>We generate a record of ice loss across glaciers from CryoSat-2 swath interferometric radar altimetry. We resolve changes at 500m resolution for Arctic Canada North and South, Greenland periphery glaciers, Iceland, Svalbard, Franz Josef Land, Novaya Zemlya, Severnaya Zemlya, Southern Andes and Antarctic periphery glaciers between 2010 and 2020.</p>
A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era: Data
<p>Data for:</p> <p>Anheuser, J., Liu, Y., and Key, J.: A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era, submitted to: The Cryosphere. 2022</p> <p>Code can be found at:</p> <pre>https://doi.org/10.5281/zenodo.7987926</pre>
Dataset used in Kittel et al., 2017 (https://doi.org/10.5194/hess-2017-549), including model files and processed remote sensing observations (CryoSat-2 radar altimetry and GRACE total water storage)
<p>Dataset used in</p> <p>Kittel, C. M. M., Nielsen, K., Tøttrup, C., Bauer-Gottwein, P., 2017.Informing a hydrological model of the Ogooué with multi-mission remote sensing data. Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-549</p> <p>The dataset contains</p> <p>Model files:</p> <ul> <li>River delineation of the Ogooué river based on the SRTM 3 arc-second DEM </li> <li>Climate input data for the Ogooué model subbasins (TRMM and FEWS-RFE precipitation and ECMWF temperature)</li> <li>Parameter files</li> </ul> <p>Processed remote sensing data:</p> <ul> <li>CryoSat-2 satellite altimetry data over the Ogooué River from July 2010 to February 2015</li> <li><strong> </strong>Water mask derived from Sentinel-1 SAR, used to filter CryoSat-2 data</li> <li>GRACE TWS time series for the Ogooué basin</li> </ul> <p>The data is provided in a .zip file with a README.txt file providing additional information and details on the data, including where to obtain similar/original datasets.</p> <p>(c) Author(s) and Technical University of Denmark (DTU) 2018</p>
Updated sea ice thickness from CryoSat-2 (2013-2018)
Open the record for dataset details and reuse information.
Arctic and Antarctic sea ice thickness climate data record from ERS-1, ERS-2, Envisat and CryoSat-2
Open the record for dataset details and reuse information.
Monthly glacier mass changes from CryoSat-2 radar altimetry
<p>We generate a record of ice loss across glaciers globally for the first time from CryoSat-2 swath interferometric radar altimetry. CryoSat-2’s orbital sub-cycle of 30 days allows us to resolve changes at high temporal resolution for Alaska, Arctic Canada North and South, Greenland periphery glaciers, Iceland, Svalbard, Franz Josef Land, Novaya Zemlya, Severnaya Zemlya, High Mountain Asia, Southern Andes and Antarctic periphery glaciers between 2010 and 2020.</p>
CryoSat-2 Sea Ice Freeboard, Thickness, and Snow Depth Quick Look, Version 1
This data set contains sea ice thickness and other derived geophysical parameters measured over the Arctic sea ice cover. The data are primarily based on ESA's CryoSat-2 Level-1B SAR/SarIn Baseline B data products for March 2014 and March 2015. Ancillary data include snow depth, snow density, sea ice concentration, sea ice freeboard, and sea ice roughness. This quick look product is experimental and designed to aid in seasonal sea ice forecasting and other time-sensitive projects. The data were collected as part of Operation IceBridge funded campaigns.Note: This data set is the Quick Look counterpart to the <a href="https://nsidc.org/data/RDEFT4">CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness</a> data set.
Antarctic sea ice radar freeboard from ERS-1, ERS-2, Envisat and CryoSat-2
<p>This dataset presents a radar freeboard time series from 1993 to 2021 for Antarctic sea ice. Envisat, ERS-2, ERS-1 radar freeboards have been estimated using CryoSat-2 as a reference, they are "SAR-like" estimations as they have been calibrated on CS-2 SAR TFMRA50 radar freeboard.</p>
CryoSat-2 Level-1B Waveforms, Sea Ice Elevation, and Surface Roughness V001
This data set contains surface elevations from retracked CryoSat-2 waveforms, as well as model fitting parameters used to retrack the waveform. The primary data set used in the production of these data come from the ESA CryoSat-2 satellite.
CryoSat-2 Level-4 Sea Ice Elevation, Freeboard, and Thickness V001
This data set contains estimates of Arctic sea ice thickness and concentration, ice freeboard and surface roughness, as well as snow density and depth, derived from the ESA CryoSat-2 Synthetic Aperture Interferometric Radar Altimeter (SIRAL). The data are provided daily on a 25 km grid as 30-day averages for the months between September and May.
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