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 GC-Net stations: CP1, Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: adjusted snow fall rate from surface height sounder air temperature at 2 meter...

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Main Author: Vandecrux, Baptiste
Format: Dataset
Language:English
Published: Arctic Data Center 2020
Subjects:
Online Access:https://dx.doi.org/10.18739/a2v698c33
https://arcticdata.io/catalog/view/doi:10.18739/A2V698C33
id ftdatacite:10.18739/a2v698c33
record_format openpolar
spelling ftdatacite:10.18739/a2v698c33 2023-05-15T16:29:32+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/a2v698c33 https://arcticdata.io/catalog/view/doi:10.18739/A2V698C33 en eng Arctic Data Center dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2v698c33 2021-11-05T12:55:41Z This dataset contains the hourly gap-filled meteorological data at nine GC-Net stations: CP1, Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: adjusted snow fall rate from surface height sounder air temperature at 2 meter (m) height, relative humidity at 2 m hieight, wind speed at 10 m height. The dataset also comprises surface energy budget components: upward and doward 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 from 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 MODIS albedo. The surface energy budget calculation uses the Monin-Obhukov similarity theory accounting for the near-surface atmosphere stratification. Dataset Greenland Tunu DataCite Metadata Store (German National Library of Science and Technology) Greenland
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description This dataset contains the hourly gap-filled meteorological data at nine GC-Net stations: CP1, Dye-2, NASA-SE, Saddle, South Dome, NASA-E, NASA-U, Summit, Tunu-N for the period 1998-2017. Meteorological variables include: adjusted snow fall rate from surface height sounder air temperature at 2 meter (m) height, relative humidity at 2 m hieight, wind speed at 10 m height. The dataset also comprises surface energy budget components: upward and doward 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 from 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 MODIS albedo. The surface energy budget calculation uses the Monin-Obhukov similarity theory accounting for the near-surface atmosphere stratification.
format Dataset
author Vandecrux, Baptiste
spellingShingle Vandecrux, Baptiste
Gap-filled meteorological data and surface energy balance at nine Greenland Climate Network (GC-Net) stations over 1998-2017
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 Arctic Data Center
publishDate 2020
url https://dx.doi.org/10.18739/a2v698c33
https://arcticdata.io/catalog/view/doi:10.18739/A2V698C33
geographic Greenland
geographic_facet Greenland
genre Greenland
Tunu
genre_facet Greenland
Tunu
op_doi https://doi.org/10.18739/a2v698c33
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