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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Bibliographic Details
Main Author: Lihui Luo
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2018
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1220663
https://zenodo.org/record/1220663
id ftdatacite:10.5281/zenodo.1220663
record_format openpolar
spelling 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)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id 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
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