Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ...
The dataset provides climate scenario data as time series based on an ensemble of EURO-CORDEX regional climate model (RCM) simulations for each LTER site location throughout Europe. The EURO-CORDEX ensemble used here consists of dynamically downscaled CMIP5 global climate models (GCMs) for different...
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https://b2share.eudat.eu
2019
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Online Access: | https://dx.doi.org/10.23728/b2share.2d7e2f4b30c34ec58d73dae4e9ebebba https://b2share.eudat.eu/records/2d7e2f4b30c34ec58d73dae4e9ebebba |
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ftdatacite:10.23728/b2share.2d7e2f4b30c34ec58d73dae4e9ebebba 2024-04-28T08:38:10+00:00 Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... H2020_eLTER_Project Project_Team 2019 https://dx.doi.org/10.23728/b2share.2d7e2f4b30c34ec58d73dae4e9ebebba https://b2share.eudat.eu/records/2d7e2f4b30c34ec58d73dae4e9ebebba unknown https://b2share.eudat.eu Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) open climate modeling meteorology air humidity air temperature atmospheric pressure incoming radiation intensity wind speed precipitation meteorological geographical feature dataset Dataset 2019 ftdatacite https://doi.org/10.23728/b2share.2d7e2f4b30c34ec58d73dae4e9ebebba 2024-04-02T12:51:59Z The dataset provides climate scenario data as time series based on an ensemble of EURO-CORDEX regional climate model (RCM) simulations for each LTER site location throughout Europe. The EURO-CORDEX ensemble used here consists of dynamically downscaled CMIP5 global climate models (GCMs) for different greenhouse gas concentration trajectories, the representative concentration pathways (RCPs: RCP2.6 (6), RCP4.5 (14) and RCP8.5 (14)). The datasets cover the following, non-bias adjusted variables: tas = near-surface air temperature [degC], tasmin = daily minimum near-surface air temperature [degC], tasmax = daily minimum near-surface air temperature [degC], pr = precipitation sum [mm day-1], psl = mean sea level pressure [Pa], huss = near-surface specific humidity [kg kg-1], rsds = surface downwelling shortwave radiation [W m-2], and sfcWind = near-surface wind speed [m s-1] in txt and netCDF data format at daily, monthly and yearly temporal resolution. Each ZIP-file data package contains the data file as well as ... Dataset Sodankylä DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
climate modeling meteorology air humidity air temperature atmospheric pressure incoming radiation intensity wind speed precipitation meteorological geographical feature |
spellingShingle |
climate modeling meteorology air humidity air temperature atmospheric pressure incoming radiation intensity wind speed precipitation meteorological geographical feature H2020_eLTER_Project Project_Team Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... |
topic_facet |
climate modeling meteorology air humidity air temperature atmospheric pressure incoming radiation intensity wind speed precipitation meteorological geographical feature |
description |
The dataset provides climate scenario data as time series based on an ensemble of EURO-CORDEX regional climate model (RCM) simulations for each LTER site location throughout Europe. The EURO-CORDEX ensemble used here consists of dynamically downscaled CMIP5 global climate models (GCMs) for different greenhouse gas concentration trajectories, the representative concentration pathways (RCPs: RCP2.6 (6), RCP4.5 (14) and RCP8.5 (14)). The datasets cover the following, non-bias adjusted variables: tas = near-surface air temperature [degC], tasmin = daily minimum near-surface air temperature [degC], tasmax = daily minimum near-surface air temperature [degC], pr = precipitation sum [mm day-1], psl = mean sea level pressure [Pa], huss = near-surface specific humidity [kg kg-1], rsds = surface downwelling shortwave radiation [W m-2], and sfcWind = near-surface wind speed [m s-1] in txt and netCDF data format at daily, monthly and yearly temporal resolution. Each ZIP-file data package contains the data file as well as ... |
format |
Dataset |
author |
H2020_eLTER_Project Project_Team |
author_facet |
H2020_eLTER_Project Project_Team |
author_sort |
H2020_eLTER_Project Project_Team |
title |
Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... |
title_short |
Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... |
title_full |
Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... |
title_fullStr |
Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... |
title_full_unstemmed |
Pallas-Sodankylä LTER Observatory - Regional climate model data from EURO-CORDEX for the eLTER project ... |
title_sort |
pallas-sodankylä lter observatory - regional climate model data from euro-cordex for the elter project ... |
publisher |
https://b2share.eudat.eu |
publishDate |
2019 |
url |
https://dx.doi.org/10.23728/b2share.2d7e2f4b30c34ec58d73dae4e9ebebba https://b2share.eudat.eu/records/2d7e2f4b30c34ec58d73dae4e9ebebba |
genre |
Sodankylä |
genre_facet |
Sodankylä |
op_rights |
Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) open |
op_doi |
https://doi.org/10.23728/b2share.2d7e2f4b30c34ec58d73dae4e9ebebba |
_version_ |
1797569337030082560 |