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36 results for “snow on sea ice”
ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4)
This dataset provides daily-averaged sea-ice and snow horizontal volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
ECCO Sea-Ice and Snow Concentration and Thickness - Snapshot llc90 Grid (Version 4 Release 4)
This dataset provides instantaneous sea-ice and snow concentration, thickness, and pressure loading on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4)
This dataset provides monthly-averaged sea-ice and snow horizontal volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
ECCO Sea-Ice and Snow Concentration and Thickness - Monthly Mean 0.5 Degree (Version 4 Release 4)
This dataset contains monthly-averaged sea-ice and snow concentration and thickness interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
Arctic sea ice snow melt onset dates from the Advanced Horizontal Range Algorithm, version 5 (1979 - 2022)
<h2>Data</h2><p>This data set includes one NetCDF (.nc) file containing the full set of annual Arctic sea ice melt onset dates and statistical summaries for the 1979 - 2022 period derived with the Advanced Horizontal Range Algorithm (AHRA) V5. The remaining .png files include browse images of each data layer contained within the primary NetCDF file.</p><p>A full description of the data provided herein can be found in the following publication: </p><p>Bliss, A. C. (submitted 2023), Passive microwave observations of Arctic sea ice melt onset from the Advanced Horizontal Range Algorithm 1979 – 2022, <i>Scientific Data</i>.</p><h2>Future updates</h2><p>This data set is distributed on an ongoing basis by the NASA Distributed Active Archive Center at the National Snow and Ice Data Center. Future updates to the AHRA V5 data set including annual updates of the data product will be available at the NSIDC archive below:</p><p>Bliss, A. C., M. Anderson, and S. Drobot. (2022). Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures, Version 5. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. <a href="https://doi.org/10.5067/TRGWQ0ONTQG5">https://doi.org/10.5067/TRGWQ0ONTQG5</a>.</p>
Lagrangian Snow Distributions for Sea-Ice Applications, Version 1
This data set provides daily estimates of snow depth and snow density for snow-on-sea-ice in the Arctic Ocean over a 41-year period using a Lagrangian snow-evolution model forced with NASA’s Modern Era Retrospective-Analysis for Research Applications Version 2 (MERRA-2) and the European Centre for Medium Range Weather Forecasts (ECMWF) Reanalysis, generation 5 (ERA5).
Snow Melt Onset Over Arctic Sea Ice from SMMR and SSM/I-SSMIS Brightness Temperatures, Version 5
This data set includes yearly snow melt onset dates over Arctic sea ice derived from Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), and the Special Sensor Microwave Imager/Sounder (SSMIS) brightness temperature measurements. The data are gridded to the 25 km Northern Hemisphere Polar Stereographic projection and available from 1979 through 2022. One browse image is available for each year. This data set also contains value-added statistics for each grid cell, including: mean melt onset date, latest (maximum) melt onset date, earliest (minimum) melt onset date, range of melt onset dates (the difference between maximum and minimum onset dates), and the standard deviation of melt onset dates. One browse image is also provided for each statistical field.
Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent, Version 4
The main parameters for this data set are snow cover and sea ice extent; both parameters are derived from SMMR and DMSP-F8, -F11, -F13, and -F17 SSM/I and SSMIS brightness temperature data. These data are provided on the Northern Hemisphere EASE-Grid 2.0 projection and at a grid cell size of 25 x 25 km. This product is designed to provide a consistent weekly time series of snow cover from October 1966 through January 2023 and sea ice from October 1978 through January 2023.
Simulated Sea Ice (weighted by the Sea ice concentration) and Snow Thickness along the MOSAiC drift trajectory, from AWI-CM-1 and AWI-CM-3 nudged simulations.
<p>Sea ice thickness (weighted by the Sea ice concentration<i>)</i> and snow (on sea ice) thickness from nudged simulations performed using the coupled climate models AWI-CM-1 (zonal wavenumber truncated at 20) and AWI-CM-3 (T20 truncation; Pithan et al., 2023) with a 1h relaxation time. The model data is collocated to the drift trajectory of the Multidisciplinary Drifting Observatory for the Study of the Arctic Climate (MOSAIC) across the Arctic Ocean, from 01 September 2019 until 31 August 2020. The collocation is done daily, by finding all model grid cells within the area covered by the distributed network of snow and sea ice measuring instruments deployed and maintained during MOSAIC. The sea ice and snow thickness is then spatially averaged for each day. </p><p>Data is provided in three .nc files for each model and variable (wm_ice for sea ice thickness, m_snow for snow thickness) representing ensemble members 1 to 3.</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.
IceBridge Sea Ice Freeboard, Snow Depth, and Thickness Quick Look, Version 1
This data set is an evaluation product containing derived geophysical data products retrieved over the Arctic sea ice cover, using the IceBridge Airborne Topographic Mapper (ATM), Snow Radar, Digital Mapping System (DMS), and KT19 pyrometer. This quick look product is experimental and designed to be applicable for time-sensitive projects such as sea ice forecasting. 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/idcsi4">IceBridge L4 Sea Ice Freeboard, Snow Depth, and Thickness</a> data set.
AMSR-E/Aqua Daily L3 12.5 km Brightness Temperature, Sea Ice Concentration, & Snow Depth Polar Grids V003
This Level-3 gridded product (AE_SI12) includes brightness temperatures at 18.7 through 89.0 GHz, sea ice concentration, and snow depth over sea ice.
IceBridge L4 Sea Ice Freeboard, Snow Depth, and Thickness V001
This data set contains derived geophysical data products including sea ice freeboard, snow depth, and sea ice thickness measurements in Greenland and Antarctica retrieved from IceBridge Snow Radar, Digital Mapping System (DMS), Continuous Airborne Mapping By Optical Translator (CAMBOT), and Airborne Topographic Mapper (ATM) data sets. The data were collected as part of Operation IceBridge funded campaigns.
AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids V001
This data set reports average daily horizontally and vertically polarized brightness temperatures; sea ice concentrations; and snow depths over sea ice on 12.5 km resolution north and south polar stereographic grids. Ungridded sea ice motion data are also available for the Arctic. The data are derived from observations acquired by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments that have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to unify the AMSR-E and AMSR2 missions. Brightness temperatures are available at 18.7 GHz, 23.8 GHz, 36.5 GHz and 89.0 GHz for ascending and descending orbits, and as a single daily average. Sea ice concentrations are generated with the Enhanced NASA Team (NT2) algorithm; a separate variable reports the daily sea ice concentration difference between the legacy AMSR Basic Bootstrap Algorithm (ABA) and the NT2.
AMSR-E/Aqua Daily L3 12.5 km Brightness Temperature, Sea Ice Concentration, & Snow Depth Polar Grids V003
This Level-3 gridded product (AE_SI12) includes brightness temperatures at 18.7 through 89.0 GHz, sea ice concentration, and snow depth over sea ice.
AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids V001
This data set reports average daily horizontally and vertically polarized brightness temperatures; sea ice concentrations; and snow depths over sea ice on 12.5 km resolution north and south polar stereographic grids. Ungridded sea ice motion data are also available for the Arctic. The data are derived from observations acquired by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments that have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to unify the AMSR-E and AMSR2 missions. Brightness temperatures are available at 18.7 GHz, 23.8 GHz, 36.5 GHz and 89.0 GHz for ascending and descending orbits, and as a single daily average. Sea ice concentrations are generated with the Enhanced NASA Team (NT2) algorithm; a separate variable reports the daily sea ice concentration difference between the legacy AMSR Basic Bootstrap Algorithm (ABA) and the NT2.
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