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...

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Main Authors: 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
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Ice
Online Access:https://dx.doi.org/10.1594/pangaea.949789
https://doi.pangaea.de/10.1594/PANGAEA.949789
id ftdatacite:10.1594/pangaea.949789
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