iffylaw/PIC: Permafrost Indices Computing ...
An R package permafrost indices computing (PIC) was developed, which integrates meteorological observations, remote sensing data, and field measurements to compute the factors or indices of permafrost and seasonal frozen soil. At present, 16 temperature/depth-related indices are integrated into the...
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Online Access: | https://dx.doi.org/10.5281/zenodo.1220663 https://zenodo.org/record/1220663 |
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ftdatacite:10.5281/zenodo.1220663 2023-06-11T04:02:54+02:00 iffylaw/PIC: Permafrost Indices Computing ... Lihui Luo 2018 https://dx.doi.org/10.5281/zenodo.1220663 https://zenodo.org/record/1220663 unknown Zenodo https://github.com/iffylaw/PIC/tree/1.1 https://github.com/iffylaw/PIC/tree/1.1 https://dx.doi.org/10.5281/zenodo.1220662 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2018 ftdatacite https://doi.org/10.5281/zenodo.122066310.5281/zenodo.1220662 2023-05-02T10:58:38Z An R package permafrost indices computing (PIC) was developed, which integrates meteorological observations, remote sensing data, and field measurements to compute the factors or indices of permafrost and seasonal frozen soil. At present, 16 temperature/depth-related indices are integrated into the R package PIC to estimate the possible change trends of frozen soil in the Qinghai–Tibet Plateau (QTP). These indices include the mean annual air temperature, mean annual ground surface temperature, mean annual ground temperature, seasonal thawing/freezing n factor (nt/nf), thawing/freezing degree-days of air and ground surface (DDTa/DDTs/DDFa/DDFs), temperature at the top of the permafrost, active layer thickness, and maximum seasonal freeze depth. ... Article in Journal/Newspaper Active layer thickness permafrost DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
An R package permafrost indices computing (PIC) was developed, which integrates meteorological observations, remote sensing data, and field measurements to compute the factors or indices of permafrost and seasonal frozen soil. At present, 16 temperature/depth-related indices are integrated into the R package PIC to estimate the possible change trends of frozen soil in the Qinghai–Tibet Plateau (QTP). These indices include the mean annual air temperature, mean annual ground surface temperature, mean annual ground temperature, seasonal thawing/freezing n factor (nt/nf), thawing/freezing degree-days of air and ground surface (DDTa/DDTs/DDFa/DDFs), temperature at the top of the permafrost, active layer thickness, and maximum seasonal freeze depth. ... |
format |
Article in Journal/Newspaper |
author |
Lihui Luo |
spellingShingle |
Lihui Luo iffylaw/PIC: Permafrost Indices Computing ... |
author_facet |
Lihui Luo |
author_sort |
Lihui Luo |
title |
iffylaw/PIC: Permafrost Indices Computing ... |
title_short |
iffylaw/PIC: Permafrost Indices Computing ... |
title_full |
iffylaw/PIC: Permafrost Indices Computing ... |
title_fullStr |
iffylaw/PIC: Permafrost Indices Computing ... |
title_full_unstemmed |
iffylaw/PIC: Permafrost Indices Computing ... |
title_sort |
iffylaw/pic: permafrost indices computing ... |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.1220663 https://zenodo.org/record/1220663 |
genre |
Active layer thickness permafrost |
genre_facet |
Active layer thickness permafrost |
op_relation |
https://github.com/iffylaw/PIC/tree/1.1 https://github.com/iffylaw/PIC/tree/1.1 https://dx.doi.org/10.5281/zenodo.1220662 |
op_rights |
Open Access info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.122066310.5281/zenodo.1220662 |
_version_ |
1768382488980226048 |