Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ...
This dataset contains continuous time series of land surface temperature (LST) at spatial resolution of 300m around the 12 experimental sites of the PAGE21 project (grant agreement number 282700, funded by the EC seventh Framework Program theme FP7-ENV-2011). This dataset was produced from hourly LS...
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ftdatacite:10.1594/pangaea.843151 2024-03-31T07:50:53+00:00 Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... André, Cyrille Ottlé, Catherine Mechri, Rihab Pannekoucke, Olivier Maignan, Fabienne 2015 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.843151 https://doi.pangaea.de/10.1594/PANGAEA.843151 en eng PANGAEA Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 air temperature Surface Temperature Event label DATE/TIME Latitude of event Longitude of event File name File size Uniform resource locator/link to file Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 dataset Dataset Supplementary Dataset 2015 ftdatacite https://doi.org/10.1594/pangaea.843151 2024-03-04T13:49:28Z This dataset contains continuous time series of land surface temperature (LST) at spatial resolution of 300m around the 12 experimental sites of the PAGE21 project (grant agreement number 282700, funded by the EC seventh Framework Program theme FP7-ENV-2011). This dataset was produced from hourly LST time series at 25km scale, retrieved from SSM/I data (André et al., 2015, doi:10.1016/j.rse.2015.01.028) and downscaled to 300m using a dynamic model and a particle smoothing approach. This methodology is based on two main assumptions. First, LST spatial variability is mostly explained by land cover and soil hydric state. Second, LST is unique for a land cover class within the low resolution pixel. Given these hypotheses, this variable can be estimated using a land cover map and a physically based land surface model constrained with observations using a data assimilation process. This methodology described in Mechri et al. (2014, doi:10.1002/2013JD020354) was applied to the ORCHIDEE land surface model (Krinner ... : Supplement to: André, Cyrille; Ottlé, Catherine; Mechri, Rihab; Pannekoucke, Olivier; Maignan, Fabienne (2015): SSM/I Land Surface Temperature downscaling over Arctic sites. ... Dataset Arctic permafrost DataCite Metadata Store (German National Library of Science and Technology) Arctic |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
air temperature Surface Temperature Event label DATE/TIME Latitude of event Longitude of event File name File size Uniform resource locator/link to file Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 |
spellingShingle |
air temperature Surface Temperature Event label DATE/TIME Latitude of event Longitude of event File name File size Uniform resource locator/link to file Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 André, Cyrille Ottlé, Catherine Mechri, Rihab Pannekoucke, Olivier Maignan, Fabienne Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... |
topic_facet |
air temperature Surface Temperature Event label DATE/TIME Latitude of event Longitude of event File name File size Uniform resource locator/link to file Multiple investigations Changing Permafrost in the Arctic and its Global Effects in the 21st Century PAGE21 |
description |
This dataset contains continuous time series of land surface temperature (LST) at spatial resolution of 300m around the 12 experimental sites of the PAGE21 project (grant agreement number 282700, funded by the EC seventh Framework Program theme FP7-ENV-2011). This dataset was produced from hourly LST time series at 25km scale, retrieved from SSM/I data (André et al., 2015, doi:10.1016/j.rse.2015.01.028) and downscaled to 300m using a dynamic model and a particle smoothing approach. This methodology is based on two main assumptions. First, LST spatial variability is mostly explained by land cover and soil hydric state. Second, LST is unique for a land cover class within the low resolution pixel. Given these hypotheses, this variable can be estimated using a land cover map and a physically based land surface model constrained with observations using a data assimilation process. This methodology described in Mechri et al. (2014, doi:10.1002/2013JD020354) was applied to the ORCHIDEE land surface model (Krinner ... : Supplement to: André, Cyrille; Ottlé, Catherine; Mechri, Rihab; Pannekoucke, Olivier; Maignan, Fabienne (2015): SSM/I Land Surface Temperature downscaling over Arctic sites. ... |
format |
Dataset |
author |
André, Cyrille Ottlé, Catherine Mechri, Rihab Pannekoucke, Olivier Maignan, Fabienne |
author_facet |
André, Cyrille Ottlé, Catherine Mechri, Rihab Pannekoucke, Olivier Maignan, Fabienne |
author_sort |
André, Cyrille |
title |
Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... |
title_short |
Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... |
title_full |
Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... |
title_fullStr |
Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... |
title_full_unstemmed |
Downscaled land surface temperatures obtained by a particle smoothing approach, with links to NetCDF files ... |
title_sort |
downscaled land surface temperatures obtained by a particle smoothing approach, with links to netcdf files ... |
publisher |
PANGAEA |
publishDate |
2015 |
url |
https://dx.doi.org/10.1594/pangaea.843151 https://doi.pangaea.de/10.1594/PANGAEA.843151 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.843151 |
_version_ |
1795029360943562752 |