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Abstract: Arctic snowfall climatology produced from the version R05 of the CloudSat 2C-SNOW-PROFILE product is available. It covers the 2007-2010 period over the latitudes from 58.5°N to 82°S. The monthly snowfall rates in this file have been calculated using the observations with: - a snow retrieval status lower than 3 - and a snowfall rate surface confidence > 1 Additionnaly, the monthly surface snowfall rate uncertainties, number of CloudSat orbits as well as number of observations are available. The number of observations over these 4 years is not sufficient to consider snowfall rates monthly (Edel et al. 2020). If one wants to obtain monthly snowfall rates, it is necessary to average multiple years. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 90.000000 * LONGITUDE: 0.000000 * LOCATION: Arctic
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  • Software/Code
Abstract: We infer seafloor topography of the inner continental shelf of northeast Greenland from airborne gravity disturbance measured by National Aeronautics and Space Administration's Oceans Melting Greenland (OMG) mission through a nonlinear inversion method called simulated annealing, and results in a model with 1.95~3.9 km resolution and 73.69 m accuracy. The model provides a reliable view of the seafloor near Zachariæ Isstrøm glacier, where bathymetric survey tracks are sparse. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 76.500000 * LONGITUDE: -21.500000 * LOCATION: Greenland
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Abstract: This dataset contains merged monthly mean MODIS-AERONET aerosol optical depth data from January 2002 to December 2016. The method to merge the two datasets is based on the Ensemble Kalman Filter and is described in detail in doi:10.1029/2019JD031884. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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  • Dataset
Abstract: This dataset contains Greenland Ice Sheet snowfall climatologies derived from Release 5, Version P1 of the CloudSat snowfall product (2C-SNOW-PROFILE: http://www.cloudsat.cira.colostate.edu/data-products/level-2c/2c-snow-profile). Before gridding, we applied a filter to the 2C-SNOW-PROFILE product which excluded all snowfall rates that were greater than two standard deviations from a 50 km running median. Snowfall climatologies were produced by (1) averaging all valid CloudSat snowfall rate observations within 45 km of the grid cell center, (2) averaging these snowfall rates for each month, and (3) averaging all months to produce a snowfall climatology for the 2006-2016 study period. We also produced seasonal snowfall climatologies by averaging monthly snowfall rates from the following periods (e.g. Spring [MAM], Summer [JJA], Autumn [SON], and Winter [DJF]). The snowfall climatologies have a WGS84 / NSIDC Sea Ice Polar Stereographic North projection (EPSG:3413) with a spatial resolution of 15 x 15 km. Snowfall rate units are in meters per year. This dataset also contains a Greenland Ice Sheet summer precipitation phase climatology for the 2006-2016 study period which was produced from Release 5, Version P1 of the CloudSat precipitation product (2C-PRECIP-COLUMN: http://www.cloudsat.cira.colostate.edu/data-products/level-2c/2c-precip-column). This climatology was derived using the same sampling strategy as the snowfall climatologies but was produced by dividing the number of events classified as rain by the total number of precipitation events. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 73.000000 * LONGITUDE: -42.000000 * LOCATION: Greenland
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  • Software/Code
  • Dataset
Abstract: The dataset includes the (semi)landmark configurations for 41 specimens of the brackish-water gastropod genera Abeskunus and Zagrabica from Miocene to Holocene deposits of southeastern and eastern Europe/western Asia. The 83 points cover six landmarks (points 1, 2, 3, 4, 33, 34) and two semilandmark curves. The data were generated in the software tpsDIG v. 2.26. See linked paper for details about the specimens. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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  • Dataset
Abstract: The crossovers between global 132 GNSS derived Zenith Wet Delay (ZWD), ranging and HY-2A from January 2017 to 2018 Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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  • Software/Code
Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: 54.510000 * LONGITUDE START: 26.250000 * LATITUDE END: -3.800000 * LONGITUDE END: 150.000000 * LOCATION: Tibetan Plateau * METHOD/DEVICE: Model simulation
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  • Software/Code
Abstract: Current global warming is causing significant changes in snowfall in polar regions, directly impacting the mass balance of the ice caps. The only water supply in Antarctica, precipitation, is poorly estimated from surface measurements. The onboard cloud-profiling radar of the CloudSat satellite provided the first real opportunity to estimate precipitation at continental scale. Based on CloudSat observations, we propose to explore the vertical structure of precipitation in Antarctica over the 2007-2010 period. A first division of this dataset following a topographical approach (continent versus peripheral regions, with a 2250m topographical criterion) shows a high precipitation rate (275mm/yr at 1200meters above ground level) with low relative seasonal variation (+/-11%) over the peripheral areas. Over the plateau, the precipitation rate is low (34mm/yr at 1200m.a.g.l.) with a much larger relative seasonal variation (+/-143%). A second study that follows a geographical division highlights the average vertical structure of precipitation and temperature depending on the regions and their interactions with topography. In particular, over ice-shelves, we see a strong dependence of the distribution of precipitation on the sea-ice coverage. Finally, the relationship between precipitation and temperature is analyzed and compared with a simple analytical relationship. This study highlights that precipitation is largely dependent on the advection of air masses along the topographic slopes with an average vertical wind of 0.02m/s. This provides new diagnostics to evaluate climate models with a three-dimensional approach of the atmospheric structure of precipitation. Category: geoscientificInformation Source: Supplement to: Lemonnier, Florentin; Madeleine, Jean-Baptiste; Claud, Chantal; Palerme, Cyril; Genthon, Christophe; L'Ecuyer, Tristan; Wood, Norman B (2020): CloudSat‐Inferred Vertical Structure of Snowfall Over the Antarctic Continent. Journal of Geophysical Research: Atmospheres, 125(2), e2019JD031399, https://doi.org/10.1029/2019JD031399 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: -82.000000 * LONGITUDE START: -180.000000 * LATITUDE END: -60.000000 * LONGITUDE END: 180.000000 * LOCATION: Antarctica
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Abstract: Contains a .mat file with 5,000 synthetically generated pond surfaces (field Pond_Surface), each 100x100 grid points at a horizontal resolution of 5 meters. It also contains the statistics of their light field (fields I_ic,I_mp,I_net) and pond distribution dimension (field PDD) as described in Horvat et al (2019) - The effect of melt pond geometry on the distribution of solar energy under first-year sea ice. Category: geoscientificInformation Source: Supplement to: Horvat, Christopher; Flocco, Daniela; Rees Jones, D W; Roach, Lettie; Golden, Kenneth (2020): The Effect of Melt Pond Geometry on the Distribution of Solar Energy Under First‐Year Sea Ice. Geophysical Research Letters, 47(4), https://doi.org/10.1029/2019GL085956 Supplemental Information: Not Availble Coverage: Not Available
Data Types:
  • Software/Code
  • Dataset
Abstract: The GI-31 ice history is constructed based on the ICE-6G ice history (Peltier et al., 2015, doi:10.1002/2014JB011176). We construct an alternate ice model (GI-31) by modifying the deglaciation geometry of the ICE-6G model while requiring that the total ice volume (or global mean sea level) history of that model be preserved in order to satisfy far-field sea-level constraints. We delay ice loss in the CIS/western LIS region within the zone west of 110°W, preserving the ICE-6G ice distribution at 15 ka in this specific region until 13 ka. The ice distribution from 15-13 ka is modified to be consistent with the median ages reported in a large dataset (n= 818) constraining the deglaciation chronology of this region. In particular, we require that regions with minimum ages older than 13 ka must be ice-free by 13 ka in the GI-31 ice history. Peltier, W.R., Argus, D.F. and Drummond, R. (2015, doi:10.1002/2014JB011176). Available here: http://www.atmosp.physics.utoronto.ca/~peltier/data.php Category: geoscientificInformation Source: Supplement to: Pico, Tamara; Robel, Alexander; Powell, Evelyn; Mix, Alan C; Mitrovica, Jerry X (2019): Leveraging the Rapid Retreat of the Amundsen Gulf Ice Stream 13,000 Years Ago to Reveal Insight Into North American Deglaciation. Geophysical Research Letters, 46(21), 12101-12107, https://doi.org/10.1029/2019GL084789 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: 84.000000 * LONGITUDE START: -65.000000 * LATITUDE END: 60.000000 * LONGITUDE END: -15.000000 * LOCATION: Greenland
Data Types:
  • Software/Code
  • Dataset