Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ...
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arcti...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2022
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.949791 https://doi.pangaea.de/10.1594/PANGAEA.949791 |
id |
ftdatacite:10.1594/pangaea.949791 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Arctic dry tundra Eddy covariance eddy heat flux glacier graminoids ground heat flux and net radiation harmonized data high latitude Land-Atmosphere Land-cover latent and sensible heat latent heat flux longwave radiation meteorological data observatory data Peat bog Radiation fluxes Radiative energy budget sensible heat flux shortwave radiation shrub tundra surface energy balance synthetic data tundra vegetation wetland Event label Type of study LATITUDE LONGITUDE ELEVATION DATE/TIME Data source Location ID Day of the year Month Year of observation Original variable Albedo Albedo, minimum Albedo, maximum Cloud coverage Cloud coverage, minimum Cloud coverage, maximum Ground heat, flux Ground heat, flux, maximum Ground heat, flux, minimum Heat, flux, sensible Heat, flux, sensible, maximum Heat, flux, sensible, minimum |
spellingShingle |
Arctic dry tundra Eddy covariance eddy heat flux glacier graminoids ground heat flux and net radiation harmonized data high latitude Land-Atmosphere Land-cover latent and sensible heat latent heat flux longwave radiation meteorological data observatory data Peat bog Radiation fluxes Radiative energy budget sensible heat flux shortwave radiation shrub tundra surface energy balance synthetic data tundra vegetation wetland Event label Type of study LATITUDE LONGITUDE ELEVATION DATE/TIME Data source Location ID Day of the year Month Year of observation Original variable Albedo Albedo, minimum Albedo, maximum Cloud coverage Cloud coverage, minimum Cloud coverage, maximum Ground heat, flux Ground heat, flux, maximum Ground heat, flux, minimum Heat, flux, sensible Heat, flux, sensible, maximum Heat, flux, sensible, minimum Oehri, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grünberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugénie S Reji Chacko, Merin Muscari, Giovanni Blanken, Peter D Dean, Joshua F di Sarra, Alcide Harding, Richard J Sobota, Ireneusz Kutzbach, Lars Plekhanova, Elena Riihelä, Aku Boike, Julia Miller, Nathaniel B Beringer, Jason López-Blanco, Efrén Stoy, Paul C Sullivan, Ryan C Kejna, Marek Parmentier, Frans-Jan W Gamon, John A Mastepanov, Mikhail Wille, Christian Jackowicz-Korczynski, Marcin Karger, Dirk N Quinton, William L Putkonen, Jaakko van As, Dirk Christensen, Torben R Hakuba, Maria Z Stone, Robert S Metzger, Stefan Vandecrux, Baptiste Frost, Gerald V Wild, Martin Hansen, Birger Ulf Meloni, Daniela Domine, Florent te Beest, Mariska Sachs, Torsten Kalhori, Aram Rocha, Adrian V Williamson, Scott N Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... |
topic_facet |
Arctic dry tundra Eddy covariance eddy heat flux glacier graminoids ground heat flux and net radiation harmonized data high latitude Land-Atmosphere Land-cover latent and sensible heat latent heat flux longwave radiation meteorological data observatory data Peat bog Radiation fluxes Radiative energy budget sensible heat flux shortwave radiation shrub tundra surface energy balance synthetic data tundra vegetation wetland Event label Type of study LATITUDE LONGITUDE ELEVATION DATE/TIME Data source Location ID Day of the year Month Year of observation Original variable Albedo Albedo, minimum Albedo, maximum Cloud coverage Cloud coverage, minimum Cloud coverage, maximum Ground heat, flux Ground heat, flux, maximum Ground heat, flux, minimum Heat, flux, sensible Heat, flux, sensible, maximum Heat, flux, sensible, minimum |
description |
Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models.This dataset comprises harmonized, standardized and aggregated in-situ observations of surface energy budget components measured at 64 sites on vegetated and glaciated sites north of 60° latitude, in the time period from 1994 till 2021. The surface energy budget components include net radiation, sensible heat flux, latent heat flux, ground heat flux, net shortwave radiation, net longwave radiation, surface temperature and albedo, which were aggregated to daily mean, minimum and ... : List of Ameriflux, AON and FLUXNET sites contained in this dataset and their corresponding siteid's and doi's: CA-SCB (https://doi.org/10.17190/AMF/1498754), FI-Lom (https://doi.org/10.18140/FLX/1440228), GL-NuF (https://doi.org/10.18140/FLX/1440222), GL-ZaF (https://doi.org/10.18140/FLX/1440223), GL-ZaH (https://doi.org/10.18140/FLX/1440224), RU-Che (https://doi.org/10.18140/FLX/1440181), RU-Cok (https://doi.org/10.18140/FLX/1440182), RU-Sam (https://doi.org/10.18140/FLX/1440185), RU-Tks (https://doi.org/10.18140/FLX/1440244), RU-Vrk (https://doi.org/10.18140/FLX/1440245), SE-St1 (https://doi.org/10.18140/FLX/1440187), SJ-Adv (https://doi.org/10.18140/FLX/1440241), SJ-Blv (https://doi.org/10.18140/FLX/1440242), US-A03 (https://doi.org/10.17190/AMF/1498752), US-A10 (https://doi.org/10.17190/AMF/1498753), US-An1 (https://doi.org/10.17190/AMF/1246142), US-An2 (https://doi.org/10.17190/AMF/1246143), US-An3 (https://doi.org/10.17190/AMF/1246144), US-Atq (https://doi.org/10.17190/AMF/1246029), US-Brw ... |
format |
Dataset |
author |
Oehri, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grünberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugénie S Reji Chacko, Merin Muscari, Giovanni Blanken, Peter D Dean, Joshua F di Sarra, Alcide Harding, Richard J Sobota, Ireneusz Kutzbach, Lars Plekhanova, Elena Riihelä, Aku Boike, Julia Miller, Nathaniel B Beringer, Jason López-Blanco, Efrén Stoy, Paul C Sullivan, Ryan C Kejna, Marek Parmentier, Frans-Jan W Gamon, John A Mastepanov, Mikhail Wille, Christian Jackowicz-Korczynski, Marcin Karger, Dirk N Quinton, William L Putkonen, Jaakko van As, Dirk Christensen, Torben R Hakuba, Maria Z Stone, Robert S Metzger, Stefan Vandecrux, Baptiste Frost, Gerald V Wild, Martin Hansen, Birger Ulf Meloni, Daniela Domine, Florent te Beest, Mariska Sachs, Torsten Kalhori, Aram Rocha, Adrian V Williamson, Scott N |
author_facet |
Oehri, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grünberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugénie S Reji Chacko, Merin Muscari, Giovanni Blanken, Peter D Dean, Joshua F di Sarra, Alcide Harding, Richard J Sobota, Ireneusz Kutzbach, Lars Plekhanova, Elena Riihelä, Aku Boike, Julia Miller, Nathaniel B Beringer, Jason López-Blanco, Efrén Stoy, Paul C Sullivan, Ryan C Kejna, Marek Parmentier, Frans-Jan W Gamon, John A Mastepanov, Mikhail Wille, Christian Jackowicz-Korczynski, Marcin Karger, Dirk N Quinton, William L Putkonen, Jaakko van As, Dirk Christensen, Torben R Hakuba, Maria Z Stone, Robert S Metzger, Stefan Vandecrux, Baptiste Frost, Gerald V Wild, Martin Hansen, Birger Ulf Meloni, Daniela Domine, Florent te Beest, Mariska Sachs, Torsten Kalhori, Aram Rocha, Adrian V Williamson, Scott N |
author_sort |
Oehri, Jacqueline |
title |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... |
title_short |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... |
title_full |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... |
title_fullStr |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... |
title_full_unstemmed |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... |
title_sort |
harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 arctic vegetation and glacier sites - surface energy budget componenent data ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.949791 https://doi.pangaea.de/10.1594/PANGAEA.949791 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic Tundra |
genre_facet |
albedo Arctic Tundra |
op_relation |
https://dx.doi.org/10.1594/pangaea.949792 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.94979110.1594/pangaea.949792 |
_version_ |
1795038174916902912 |
spelling |
ftdatacite:10.1594/pangaea.949791 2024-03-31T07:47:53+00:00 Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data ... Oehri, Jacqueline Schaepman-Strub, Gabriela Kim, Jin-Soo Grysko, Raleigh Kropp, Heather Grünberg, Inge Zemlianskii, Vitalii Sonnentag, Oliver Euskirchen, Eugénie S Reji Chacko, Merin Muscari, Giovanni Blanken, Peter D Dean, Joshua F di Sarra, Alcide Harding, Richard J Sobota, Ireneusz Kutzbach, Lars Plekhanova, Elena Riihelä, Aku Boike, Julia Miller, Nathaniel B Beringer, Jason López-Blanco, Efrén Stoy, Paul C Sullivan, Ryan C Kejna, Marek Parmentier, Frans-Jan W Gamon, John A Mastepanov, Mikhail Wille, Christian Jackowicz-Korczynski, Marcin Karger, Dirk N Quinton, William L Putkonen, Jaakko van As, Dirk Christensen, Torben R Hakuba, Maria Z Stone, Robert S Metzger, Stefan Vandecrux, Baptiste Frost, Gerald V Wild, Martin Hansen, Birger Ulf Meloni, Daniela Domine, Florent te Beest, Mariska Sachs, Torsten Kalhori, Aram Rocha, Adrian V Williamson, Scott N 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.949791 https://doi.pangaea.de/10.1594/PANGAEA.949791 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.949792 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Arctic dry tundra Eddy covariance eddy heat flux glacier graminoids ground heat flux and net radiation harmonized data high latitude Land-Atmosphere Land-cover latent and sensible heat latent heat flux longwave radiation meteorological data observatory data Peat bog Radiation fluxes Radiative energy budget sensible heat flux shortwave radiation shrub tundra surface energy balance synthetic data tundra vegetation wetland Event label Type of study LATITUDE LONGITUDE ELEVATION DATE/TIME Data source Location ID Day of the year Month Year of observation Original variable Albedo Albedo, minimum Albedo, maximum Cloud coverage Cloud coverage, minimum Cloud coverage, maximum Ground heat, flux Ground heat, flux, maximum Ground heat, flux, minimum Heat, flux, sensible Heat, flux, sensible, maximum Heat, flux, sensible, minimum dataset Dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94979110.1594/pangaea.949792 2024-03-04T14:08:12Z Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models.This dataset comprises harmonized, standardized and aggregated in-situ observations of surface energy budget components measured at 64 sites on vegetated and glaciated sites north of 60° latitude, in the time period from 1994 till 2021. The surface energy budget components include net radiation, sensible heat flux, latent heat flux, ground heat flux, net shortwave radiation, net longwave radiation, surface temperature and albedo, which were aggregated to daily mean, minimum and ... : List of Ameriflux, AON and FLUXNET sites contained in this dataset and their corresponding siteid's and doi's: CA-SCB (https://doi.org/10.17190/AMF/1498754), FI-Lom (https://doi.org/10.18140/FLX/1440228), GL-NuF (https://doi.org/10.18140/FLX/1440222), GL-ZaF (https://doi.org/10.18140/FLX/1440223), GL-ZaH (https://doi.org/10.18140/FLX/1440224), RU-Che (https://doi.org/10.18140/FLX/1440181), RU-Cok (https://doi.org/10.18140/FLX/1440182), RU-Sam (https://doi.org/10.18140/FLX/1440185), RU-Tks (https://doi.org/10.18140/FLX/1440244), RU-Vrk (https://doi.org/10.18140/FLX/1440245), SE-St1 (https://doi.org/10.18140/FLX/1440187), SJ-Adv (https://doi.org/10.18140/FLX/1440241), SJ-Blv (https://doi.org/10.18140/FLX/1440242), US-A03 (https://doi.org/10.17190/AMF/1498752), US-A10 (https://doi.org/10.17190/AMF/1498753), US-An1 (https://doi.org/10.17190/AMF/1246142), US-An2 (https://doi.org/10.17190/AMF/1246143), US-An3 (https://doi.org/10.17190/AMF/1246144), US-Atq (https://doi.org/10.17190/AMF/1246029), US-Brw ... Dataset albedo Arctic Tundra DataCite Metadata Store (German National Library of Science and Technology) Arctic |