SIZONET Snow depths on sea ice from data interpolation and modeling
Monthly grids of on-sea ice snow depths are derived through the combination of gridded sea ice surface snow accumulation rates and sea ice surface freeze/melt dates in a model. Localized values of sea ice surface snow accumulation rates are created using on-sea ice and coastal based in-situ measurem...
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Arctic Data Center
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Online Access: | https://doi.org/10.18739/A22Q01 |
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dataone:doi:10.18739/A22Q01 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW DEPTH IN SITU/LABORATORY INSTRUMENTS > PROBES > SNOW MEASURING ROD EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > PROFILERS/SOUNDERS > TOVS > TIROS OPERATIONAL VERTICAL SOUNDER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SSMI > SPECIAL SENSOR MICROWAVE/IMAGER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SMMR > SCANNING MULTICHANNEL MICROWAVE RADIOMETER DRIFTING ICE CAMP MANNED PERMANENT STATION OTHER SATELLITE GRID 10 KILOMETERS TO 50 KILOMETERS WEEKLY TO MONTHLY climatologyMeteorologyAtmosphere |
spellingShingle |
EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW DEPTH IN SITU/LABORATORY INSTRUMENTS > PROBES > SNOW MEASURING ROD EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > PROFILERS/SOUNDERS > TOVS > TIROS OPERATIONAL VERTICAL SOUNDER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SSMI > SPECIAL SENSOR MICROWAVE/IMAGER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SMMR > SCANNING MULTICHANNEL MICROWAVE RADIOMETER DRIFTING ICE CAMP MANNED PERMANENT STATION OTHER SATELLITE GRID 10 KILOMETERS TO 50 KILOMETERS WEEKLY TO MONTHLY climatologyMeteorologyAtmosphere Mette Kaufman SIZONET Snow depths on sea ice from data interpolation and modeling |
topic_facet |
EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW DEPTH IN SITU/LABORATORY INSTRUMENTS > PROBES > SNOW MEASURING ROD EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > PROFILERS/SOUNDERS > TOVS > TIROS OPERATIONAL VERTICAL SOUNDER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SSMI > SPECIAL SENSOR MICROWAVE/IMAGER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SMMR > SCANNING MULTICHANNEL MICROWAVE RADIOMETER DRIFTING ICE CAMP MANNED PERMANENT STATION OTHER SATELLITE GRID 10 KILOMETERS TO 50 KILOMETERS WEEKLY TO MONTHLY climatologyMeteorologyAtmosphere |
description |
Monthly grids of on-sea ice snow depths are derived through the combination of gridded sea ice surface snow accumulation rates and sea ice surface freeze/melt dates in a model. Localized values of sea ice surface snow accumulation rates are created using on-sea ice and coastal based in-situ measurements of snow depth. These values are interpolated to a grid using estimates of net precipitation, derived from TIROS Operational Vertical Sounder (TOVS) satellite water vapor and winds retrievals [Groves and Francis, 2002] as a background field. A model is then used to accumulate snow at each grid point based upon whether ice is present and its surface is not melting. Ice surface melt/freeze date data is derived from Scanning Multi-channel Microwave Radiometer (SMMR) - Special Sensor Microwave Imager (SSM/I) passive microwave satellites and is available with approx. one to two day resolution [Markus et al, 2009]. Monthly gridded model output is representative of mid-month snow depths. Net precipitation, ice surface freeze/melt products and model output are all at 25 km grid spacing, using the northern hemispheric Equal-Area Scalable Earth projection [see: http://nsidc.org/data/ease/]. Model output includes the Arctic Ocean and its peripheral seas including the Bering Sea, Okhotsk Sea, Canadian Archipelago and Hudson Bay. Primary on-ice snow depths are from measurements taken at the Soviet North Pole drifting stations, described by Warren et al. [1999]. Coastal snow depth measurements are from a variety of international sources including the Alaska Climate Research Center, National Snow and Ice Data Center, National Climatic Data Center, Environment Canada and the Norwegian Meteorological Service. Data compilation, interpolation and snow-deposition modeling procedures are described in detail in Harbeck and Eicken (in prep.). References: - Groves, D. G., and J. A. Francis, Moisture budget of the Arctic atmosphere from TOVS satellite data, J. Geophys. Res., 107(D19), 4391, doi:10.1029/2001JD001191, 2002. - Harbeck, J. P. and Eicken, H. (in prep.), Effects of a changing Arctic sea ice cover upon on-ice snow depths, Univ. of Alaska Fairbanks press, Thesis - Markus, T., J. C. Stroeve, and J. Miller (2009), Recent changes in Arctic sea ice melt onset, freezeup, and melt season length, J. Geophys. Res., 114, C12, doi:10.1029/2009JC005436. - Warren, S. G., Rigor, I.G., Untersteiner, N., Radionov, V.F., Bryazgin, N. N., Aleksandrov, Y. I., and Colony, R. (1999), Snow Depth on Arctic Sea Ice, J. Climate, 14, 1814 - 1829.*****These data were compiled in conjunction with the Sunlight and the Arctic atmosphere-ice-ocean system (Synthesis of Arctic System Science, SASS) project.***** |
format |
Dataset |
author |
Mette Kaufman |
author_facet |
Mette Kaufman |
author_sort |
Mette Kaufman |
title |
SIZONET Snow depths on sea ice from data interpolation and modeling |
title_short |
SIZONET Snow depths on sea ice from data interpolation and modeling |
title_full |
SIZONET Snow depths on sea ice from data interpolation and modeling |
title_fullStr |
SIZONET Snow depths on sea ice from data interpolation and modeling |
title_full_unstemmed |
SIZONET Snow depths on sea ice from data interpolation and modeling |
title_sort |
sizonet snow depths on sea ice from data interpolation and modeling |
publisher |
Arctic Data Center |
publishDate |
|
url |
https://doi.org/10.18739/A22Q01 |
op_coverage |
ARCTIC OCEAN ENVELOPE(-180.0,180.0,90.0,50.0) BEGINDATE: 1979-08-15T00:00:00Z ENDDATE: 2008-07-15T00:00:00Z |
long_lat |
ENVELOPE(-180.0,180.0,90.0,50.0) |
geographic |
Arctic Arctic Ocean Bering Sea Hudson Bay Okhotsk Fairbanks Canada Hudson North Pole |
geographic_facet |
Arctic Arctic Ocean Bering Sea Hudson Bay Okhotsk Fairbanks Canada Hudson North Pole |
genre |
Archipelago Arctic Arctic Ocean Bering Sea Canadian Archipelago Hudson Bay National Snow and Ice Data Center North Pole okhotsk sea Sea ice Alaska |
genre_facet |
Archipelago Arctic Arctic Ocean Bering Sea Canadian Archipelago Hudson Bay National Snow and Ice Data Center North Pole okhotsk sea Sea ice Alaska |
op_doi |
https://doi.org/10.18739/A22Q01 |
_version_ |
1782012198938214400 |
spelling |
dataone:doi:10.18739/A22Q01 2023-11-08T14:14:14+01:00 SIZONET Snow depths on sea ice from data interpolation and modeling Mette Kaufman ARCTIC OCEAN ENVELOPE(-180.0,180.0,90.0,50.0) BEGINDATE: 1979-08-15T00:00:00Z ENDDATE: 2008-07-15T00:00:00Z 2016-10-20T23:24:32.185Z https://doi.org/10.18739/A22Q01 unknown Arctic Data Center EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW DEPTH IN SITU/LABORATORY INSTRUMENTS > PROBES > SNOW MEASURING ROD EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > PROFILERS/SOUNDERS > TOVS > TIROS OPERATIONAL VERTICAL SOUNDER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SSMI > SPECIAL SENSOR MICROWAVE/IMAGER EARTH REMOTE SENSING INSTRUMENTS > PASSIVE REMOTE SENSING > SPECTROMETERS/RADIOMETERS > IMAGING SPECTROMETERS/RADIOMETERS > SMMR > SCANNING MULTICHANNEL MICROWAVE RADIOMETER DRIFTING ICE CAMP MANNED PERMANENT STATION OTHER SATELLITE GRID 10 KILOMETERS TO 50 KILOMETERS WEEKLY TO MONTHLY climatologyMeteorologyAtmosphere Dataset dataone:urn:node:ARCTIC https://doi.org/10.18739/A22Q01 2023-11-08T13:39:11Z Monthly grids of on-sea ice snow depths are derived through the combination of gridded sea ice surface snow accumulation rates and sea ice surface freeze/melt dates in a model. Localized values of sea ice surface snow accumulation rates are created using on-sea ice and coastal based in-situ measurements of snow depth. These values are interpolated to a grid using estimates of net precipitation, derived from TIROS Operational Vertical Sounder (TOVS) satellite water vapor and winds retrievals [Groves and Francis, 2002] as a background field. A model is then used to accumulate snow at each grid point based upon whether ice is present and its surface is not melting. Ice surface melt/freeze date data is derived from Scanning Multi-channel Microwave Radiometer (SMMR) - Special Sensor Microwave Imager (SSM/I) passive microwave satellites and is available with approx. one to two day resolution [Markus et al, 2009]. Monthly gridded model output is representative of mid-month snow depths. Net precipitation, ice surface freeze/melt products and model output are all at 25 km grid spacing, using the northern hemispheric Equal-Area Scalable Earth projection [see: http://nsidc.org/data/ease/]. Model output includes the Arctic Ocean and its peripheral seas including the Bering Sea, Okhotsk Sea, Canadian Archipelago and Hudson Bay. Primary on-ice snow depths are from measurements taken at the Soviet North Pole drifting stations, described by Warren et al. [1999]. Coastal snow depth measurements are from a variety of international sources including the Alaska Climate Research Center, National Snow and Ice Data Center, National Climatic Data Center, Environment Canada and the Norwegian Meteorological Service. Data compilation, interpolation and snow-deposition modeling procedures are described in detail in Harbeck and Eicken (in prep.). References: - Groves, D. G., and J. A. Francis, Moisture budget of the Arctic atmosphere from TOVS satellite data, J. Geophys. Res., 107(D19), 4391, doi:10.1029/2001JD001191, 2002. - Harbeck, J. P. and Eicken, H. (in prep.), Effects of a changing Arctic sea ice cover upon on-ice snow depths, Univ. of Alaska Fairbanks press, Thesis - Markus, T., J. C. Stroeve, and J. Miller (2009), Recent changes in Arctic sea ice melt onset, freezeup, and melt season length, J. Geophys. Res., 114, C12, doi:10.1029/2009JC005436. - Warren, S. G., Rigor, I.G., Untersteiner, N., Radionov, V.F., Bryazgin, N. N., Aleksandrov, Y. I., and Colony, R. (1999), Snow Depth on Arctic Sea Ice, J. Climate, 14, 1814 - 1829.*****These data were compiled in conjunction with the Sunlight and the Arctic atmosphere-ice-ocean system (Synthesis of Arctic System Science, SASS) project.***** Dataset Archipelago Arctic Arctic Ocean Bering Sea Canadian Archipelago Hudson Bay National Snow and Ice Data Center North Pole okhotsk sea Sea ice Alaska Arctic Data Center (via DataONE) Arctic Arctic Ocean Bering Sea Hudson Bay Okhotsk Fairbanks Canada Hudson North Pole ENVELOPE(-180.0,180.0,90.0,50.0) |