Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions ...
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: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Dataset |
Language: | English |
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PANGAEA
2022
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Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.949789 https://doi.pangaea.de/10.1594/PANGAEA.949789 |
id |
ftdatacite:10.1594/pangaea.949789 |
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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 Date/Time of event ELEVATION Location ID Data source Vegetation type Land cover type Land cover classes Species present Number of vegetation types Shannon Diversity Index Shannon Diversity Index, maximum Zone Permafrost, type Permafrost extent Permafrost ice content, description Precipitation Precipitation, daily, maximum Humidity, relative Wind speed Vapour pressure deficit |
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 Date/Time of event ELEVATION Location ID Data source Vegetation type Land cover type Land cover classes Species present Number of vegetation types Shannon Diversity Index Shannon Diversity Index, maximum Zone Permafrost, type Permafrost extent Permafrost ice content, description Precipitation Precipitation, daily, maximum Humidity, relative Wind speed Vapour pressure deficit 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 - Environmental conditions ... |
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 Date/Time of event ELEVATION Location ID Data source Vegetation type Land cover type Land cover classes Species present Number of vegetation types Shannon Diversity Index Shannon Diversity Index, maximum Zone Permafrost, type Permafrost extent Permafrost ice content, description Precipitation Precipitation, daily, maximum Humidity, relative Wind speed Vapour pressure deficit |
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 describes the environmental conditions for 64 tundra and glacier sites (>=60°N latitude) across the Arctic, for which in situ measurements of surface energy budget components were harmonized (see Oehri et al. 2022). These environmental conditions are (proxies of) potential drivers of SEB-components and could therefore be called SEB-drivers. The associated environmental conditions, include the vegetation types graminoid tundra, prostrate dwarf-shrub tundra, ... : 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 - Environmental conditions ... |
title_short |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions ... |
title_full |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions ... |
title_fullStr |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions ... |
title_full_unstemmed |
Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions ... |
title_sort |
harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 arctic vegetation and glacier sites - environmental conditions ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.949789 https://doi.pangaea.de/10.1594/PANGAEA.949789 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ice permafrost Tundra |
genre_facet |
Arctic Ice permafrost Tundra |
op_relation |
https://dx.doi.org/10.1594/pangaea.949792 https://dx.doi.org/10.1016/j.rse.2019.111297 |
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.94978910.1594/pangaea.94979210.1016/j.rse.2019.111297 |
_version_ |
1795028878713946112 |
spelling |
ftdatacite:10.1594/pangaea.949789 2024-03-31T07:50:35+00:00 Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Environmental conditions ... 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.949789 https://doi.pangaea.de/10.1594/PANGAEA.949789 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.949792 https://dx.doi.org/10.1016/j.rse.2019.111297 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 Date/Time of event ELEVATION Location ID Data source Vegetation type Land cover type Land cover classes Species present Number of vegetation types Shannon Diversity Index Shannon Diversity Index, maximum Zone Permafrost, type Permafrost extent Permafrost ice content, description Precipitation Precipitation, daily, maximum Humidity, relative Wind speed Vapour pressure deficit dataset Dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94978910.1594/pangaea.94979210.1016/j.rse.2019.111297 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 describes the environmental conditions for 64 tundra and glacier sites (>=60°N latitude) across the Arctic, for which in situ measurements of surface energy budget components were harmonized (see Oehri et al. 2022). These environmental conditions are (proxies of) potential drivers of SEB-components and could therefore be called SEB-drivers. The associated environmental conditions, include the vegetation types graminoid tundra, prostrate dwarf-shrub tundra, ... : 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 Arctic Ice permafrost Tundra DataCite Metadata Store (German National Library of Science and Technology) Arctic |