An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model
The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this s...
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Online Access: | https://doi.org/10.17632/jky2frt4pk.1 https://doi.org/10.17632/JKY2FRT4PK.3 https://doi.org/10.17632/jky2frt4pk.4 https://doi.org/10.17632/jky2frt4pk.2 https://doi.org/10.17632/JKY2FRT4PK |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::574907e36a02f890272ebe0d59ec822a 2023-05-15T17:57:49+02:00 An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model Sun, Hao Li, Chuan-hua Wu, Xiaodong Han, Haiyan Li, Chuan-Hua Chuan-hua Li 2019-09-17 https://doi.org/10.17632/jky2frt4pk.1 https://doi.org/10.17632/JKY2FRT4PK.3 https://doi.org/10.17632/jky2frt4pk.4 https://doi.org/10.17632/jky2frt4pk.2 https://doi.org/10.17632/JKY2FRT4PK undefined unknown http://dx.doi.org/10.17632/jky2frt4pk.1 http://dx.doi.org/10.17632/JKY2FRT4PK.3 https://dx.doi.org/10.17632/jky2frt4pk.3 http://dx.doi.org/10.17632/jky2frt4pk.4 https://dx.doi.org/10.17632/jky2frt4pk.4 https://dx.doi.org/10.17632/jky2frt4pk.1 http://dx.doi.org/10.17632/jky2frt4pk.2 http://dx.doi.org/10.17632/JKY2FRT4PK https://dx.doi.org/10.17632/jky2frt4pk https://dx.doi.org/10.17632/jky2frt4pk.2 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134048 doi:10.17632/jky2frt4pk.3 10.17632/jky2frt4pk.3 10.17632/jky2frt4pk.4 oai:easy.dans.knaw.nl:easy-dataset:134082 doi:10.17632/jky2frt4pk.1 10.17632/jky2frt4pk.1 doi:10.17632/jky2frt4pk.4 oai:easy.dans.knaw.nl:easy-dataset:134043 oai:easy.dans.knaw.nl:easy-dataset:134044 oai:easy.dans.knaw.nl:easy-dataset:134048 doi:10.17632/jky2frt4pk.2 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134044 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134082 doi:10.17632/jky2frt4pk 10.17632/jky2frt4pk oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134043 10.17632/jky2frt4pk.2 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::db814dc656a911b556dba42a331cebe9 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 Interdisciplinary sciences Modelling envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2019 fttriple https://doi.org/10.17632/jky2frt4pk.1 https://doi.org/10.17632/JKY2FRT4PK.3 https://doi.org/10.17632/jky2frt4pk.3 https://doi.org/10.17632/jky2frt4pk.4 https://doi.org/10.17632/jky2frt4pk.2 https://doi.org/10.17632/JKY2FRT4PK https://doi.org/1 2023-01-22T16:53:05Z The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this study, we proposed a numerical simulation method for improving soil water during the freeze-thaw process based on the field observation data of soil water and temperature. This approach does not require new parameters and has no impact on other modules. The improvement of soil water content during the freeze-thaw process was then incorporated in the Biome-BGC model for NPP in an alpine meadow in the central Qinghai-Tibetan Plateau (QTP). In this data set, there are five files, The soil temperature was recorded using HMP45C temperature sensors. Soil water content was recorded using a CS616 L/Water Content.;The average sunshine shortwave radiant flux density and sunshine hours were calculated by the MTCLIM4.0 model;the original model results; the improved model results;and the analysis and validation data. Dataset permafrost Unknown |
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Open Polar |
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Unknown |
op_collection_id |
fttriple |
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unknown |
topic |
Interdisciplinary sciences Modelling envir geo |
spellingShingle |
Interdisciplinary sciences Modelling envir geo Sun, Hao An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model |
topic_facet |
Interdisciplinary sciences Modelling envir geo |
description |
The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this study, we proposed a numerical simulation method for improving soil water during the freeze-thaw process based on the field observation data of soil water and temperature. This approach does not require new parameters and has no impact on other modules. The improvement of soil water content during the freeze-thaw process was then incorporated in the Biome-BGC model for NPP in an alpine meadow in the central Qinghai-Tibetan Plateau (QTP). In this data set, there are five files, The soil temperature was recorded using HMP45C temperature sensors. Soil water content was recorded using a CS616 L/Water Content.;The average sunshine shortwave radiant flux density and sunshine hours were calculated by the MTCLIM4.0 model;the original model results; the improved model results;and the analysis and validation data. |
author2 |
Li, Chuan-hua Wu, Xiaodong Han, Haiyan Li, Chuan-Hua Chuan-hua Li |
format |
Dataset |
author |
Sun, Hao |
author_facet |
Sun, Hao |
author_sort |
Sun, Hao |
title |
An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model |
title_short |
An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model |
title_full |
An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model |
title_fullStr |
An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model |
title_full_unstemmed |
An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model |
title_sort |
approach for improving soil water content for modeling net primary production on the qinghai-tibetan plateau using biome-bgc model |
publishDate |
2019 |
url |
https://doi.org/10.17632/jky2frt4pk.1 https://doi.org/10.17632/JKY2FRT4PK.3 https://doi.org/10.17632/jky2frt4pk.4 https://doi.org/10.17632/jky2frt4pk.2 https://doi.org/10.17632/JKY2FRT4PK |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134048 doi:10.17632/jky2frt4pk.3 10.17632/jky2frt4pk.3 10.17632/jky2frt4pk.4 oai:easy.dans.knaw.nl:easy-dataset:134082 doi:10.17632/jky2frt4pk.1 10.17632/jky2frt4pk.1 doi:10.17632/jky2frt4pk.4 oai:easy.dans.knaw.nl:easy-dataset:134043 oai:easy.dans.knaw.nl:easy-dataset:134044 oai:easy.dans.knaw.nl:easy-dataset:134048 doi:10.17632/jky2frt4pk.2 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134044 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134082 doi:10.17632/jky2frt4pk 10.17632/jky2frt4pk oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:134043 10.17632/jky2frt4pk.2 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::db814dc656a911b556dba42a331cebe9 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 |
op_relation |
http://dx.doi.org/10.17632/jky2frt4pk.1 http://dx.doi.org/10.17632/JKY2FRT4PK.3 https://dx.doi.org/10.17632/jky2frt4pk.3 http://dx.doi.org/10.17632/jky2frt4pk.4 https://dx.doi.org/10.17632/jky2frt4pk.4 https://dx.doi.org/10.17632/jky2frt4pk.1 http://dx.doi.org/10.17632/jky2frt4pk.2 http://dx.doi.org/10.17632/JKY2FRT4PK https://dx.doi.org/10.17632/jky2frt4pk https://dx.doi.org/10.17632/jky2frt4pk.2 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.17632/jky2frt4pk.1 https://doi.org/10.17632/JKY2FRT4PK.3 https://doi.org/10.17632/jky2frt4pk.3 https://doi.org/10.17632/jky2frt4pk.4 https://doi.org/10.17632/jky2frt4pk.2 https://doi.org/10.17632/JKY2FRT4PK https://doi.org/1 |
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