Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017
This dataset contains the hourly gap-filled meteorological data at nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: air temperature at 2 meters (m)...
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NSF Arctic Data Center
2020
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Online Access: | https://dx.doi.org/10.18739/a2hm52k87 https://arcticdata.io/catalog/view/doi:10.18739/A2HM52K87 |
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ftdatacite:10.18739/a2hm52k87 2023-05-15T16:27:18+02:00 Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 Vandecrux, Baptiste 2020 text/xml https://dx.doi.org/10.18739/a2hm52k87 https://arcticdata.io/catalog/view/doi:10.18739/A2HM52K87 en eng NSF Arctic Data Center Surface energy balance Surface mass balance Weather station, Greenland Ice Snow Climate dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2hm52k87 2021-11-05T12:55:41Z This dataset contains the hourly gap-filled meteorological data at nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: air temperature at 2 meters (m) height, relative humidity at 2 m height, wind speed at 10 m height, atmospheric pressure and adjusted snow fall rate from surface height sounder . The dataset also includes surface energy budget components: upward and downward shortwave and longwave radiative fluxes, sensible and latent heat fluxes (and subsequently sublimation/deposition), conductive heat flux into the subsurface, surface temperature and surface melt. These data were prepared for, and fully described in Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). For their calculation, raw data from the GC-Net stations (available at http://cires1.colorado.edu/steffen/gcnet/) were filtered from erroneous measurements and gap-filled using either nearby automatic weather stations or adjusted RACMO2.3p2 regional climate model output. Downward longwave radiation is not monitored by the GC-Net stations and is therefore directly taken from RACMO2.3p2. Upward shortwave radiation was gap-filled using gap-filled downward shortwave radiation and daily Moderate Resolution Imaging Spectroradiometer (MODIS) albedo. The surface energy budget calculation uses the Monin-Obukhov similarity theory accounting for the near-surface atmosphere stratification. Dataset Greenland Tunu DataCite Metadata Store (German National Library of Science and Technology) Crawford ENVELOPE(-86.467,-86.467,-77.717,-77.717) Crawford Point ENVELOPE(-97.562,-97.562,57.876,57.876) Greenland |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Surface energy balance Surface mass balance Weather station, Greenland Ice Snow Climate |
spellingShingle |
Surface energy balance Surface mass balance Weather station, Greenland Ice Snow Climate Vandecrux, Baptiste Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 |
topic_facet |
Surface energy balance Surface mass balance Weather station, Greenland Ice Snow Climate |
description |
This dataset contains the hourly gap-filled meteorological data at nine Greenland Climate Network (GC-Net) stations: Crawford Point 1 (CP1), Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: air temperature at 2 meters (m) height, relative humidity at 2 m height, wind speed at 10 m height, atmospheric pressure and adjusted snow fall rate from surface height sounder . The dataset also includes surface energy budget components: upward and downward shortwave and longwave radiative fluxes, sensible and latent heat fluxes (and subsequently sublimation/deposition), conductive heat flux into the subsurface, surface temperature and surface melt. These data were prepared for, and fully described in Vandecrux et al. (2020, https://doi.org/10.1017/jog.2020.30). For their calculation, raw data from the GC-Net stations (available at http://cires1.colorado.edu/steffen/gcnet/) were filtered from erroneous measurements and gap-filled using either nearby automatic weather stations or adjusted RACMO2.3p2 regional climate model output. Downward longwave radiation is not monitored by the GC-Net stations and is therefore directly taken from RACMO2.3p2. Upward shortwave radiation was gap-filled using gap-filled downward shortwave radiation and daily Moderate Resolution Imaging Spectroradiometer (MODIS) albedo. The surface energy budget calculation uses the Monin-Obukhov similarity theory accounting for the near-surface atmosphere stratification. |
format |
Dataset |
author |
Vandecrux, Baptiste |
author_facet |
Vandecrux, Baptiste |
author_sort |
Vandecrux, Baptiste |
title |
Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 |
title_short |
Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 |
title_full |
Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 |
title_fullStr |
Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 |
title_full_unstemmed |
Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017 |
title_sort |
gap-filled meteorological data and surface energy balance at nine greenland climate network (gc-net) stations over 1998-2017 |
publisher |
NSF Arctic Data Center |
publishDate |
2020 |
url |
https://dx.doi.org/10.18739/a2hm52k87 https://arcticdata.io/catalog/view/doi:10.18739/A2HM52K87 |
long_lat |
ENVELOPE(-86.467,-86.467,-77.717,-77.717) ENVELOPE(-97.562,-97.562,57.876,57.876) |
geographic |
Crawford Crawford Point Greenland |
geographic_facet |
Crawford Crawford Point Greenland |
genre |
Greenland Tunu |
genre_facet |
Greenland Tunu |
op_doi |
https://doi.org/10.18739/a2hm52k87 |
_version_ |
1766016429233012736 |