Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau
The thermal regime of the active layer temperature (ALT) is a key variable with which to monitor permafrost changes and to improve the precision of simulations and predictions of land surface processes. The dynamics of the active layer thermal regime can differ substantially under various land surfa...
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ftchinacadscimhe:oai:ir.imde.ac.cn:131551/26973 2023-05-15T13:02:50+02:00 Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau Chang, Juan Wang, Genxu Guo, Linmao 2019-07-01 http://ir.imde.ac.cn/handle/131551/26973 https://doi.org/10.1002/ppp.2003 英语 eng WILEY PERMAFROST AND PERIGLACIAL PROCESSES http://ir.imde.ac.cn/handle/131551/26973 doi:10.1002/ppp.2003 cn.org.cspace.api.content.CopyrightPolicy@2c2459fa alpine meadow ANN model Qinghai-Tibetan Plateau soil thermal dynamics RIVER SOURCE REGION CLIMATE-CHANGE ALGORITHM HYDROLOGY SUPPORT RUNOFF LAYER THAW Physical Geography Geology Geography Physical 期刊论文 2019 ftchinacadscimhe https://doi.org/10.1002/ppp.2003 2022-12-19T18:21:23Z The thermal regime of the active layer temperature (ALT) is a key variable with which to monitor permafrost changes and to improve the precision of simulations and predictions of land surface processes. The dynamics of the active layer thermal regime can differ substantially under various land surface types and climatic conditions. The proper simulation of these different processes is essential for accurately predicting the changes in water cycles and ecosystems under a warming climate scenario. In this paper, an artificial neural network (ANN) forecasting model system was developed using only two accessible parameters, air and ground surface temperatures, to predict and simulate the ALT thermal regime. The model results show that the ANN model has better real-time prediction capability than other physics-based models and performs well at simulating and forecasting variations in soil temperature with a step size of 12days in permafrost regions on the Qinghai-Tibetan Plateau. The influence of an increase in air temperature on the ALT thermal regime was more intense during the thawing process than during the freezing process, and this influence decreased with an increase in soil depth. Report Active layer temperature permafrost Permafrost and Periglacial Processes IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) Permafrost and Periglacial Processes 30 3 195 207 |
institution |
Open Polar |
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IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) |
op_collection_id |
ftchinacadscimhe |
language |
English |
topic |
alpine meadow ANN model Qinghai-Tibetan Plateau soil thermal dynamics RIVER SOURCE REGION CLIMATE-CHANGE ALGORITHM HYDROLOGY SUPPORT RUNOFF LAYER THAW Physical Geography Geology Geography Physical |
spellingShingle |
alpine meadow ANN model Qinghai-Tibetan Plateau soil thermal dynamics RIVER SOURCE REGION CLIMATE-CHANGE ALGORITHM HYDROLOGY SUPPORT RUNOFF LAYER THAW Physical Geography Geology Geography Physical Chang, Juan Wang, Genxu Guo, Linmao Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau |
topic_facet |
alpine meadow ANN model Qinghai-Tibetan Plateau soil thermal dynamics RIVER SOURCE REGION CLIMATE-CHANGE ALGORITHM HYDROLOGY SUPPORT RUNOFF LAYER THAW Physical Geography Geology Geography Physical |
description |
The thermal regime of the active layer temperature (ALT) is a key variable with which to monitor permafrost changes and to improve the precision of simulations and predictions of land surface processes. The dynamics of the active layer thermal regime can differ substantially under various land surface types and climatic conditions. The proper simulation of these different processes is essential for accurately predicting the changes in water cycles and ecosystems under a warming climate scenario. In this paper, an artificial neural network (ANN) forecasting model system was developed using only two accessible parameters, air and ground surface temperatures, to predict and simulate the ALT thermal regime. The model results show that the ANN model has better real-time prediction capability than other physics-based models and performs well at simulating and forecasting variations in soil temperature with a step size of 12days in permafrost regions on the Qinghai-Tibetan Plateau. The influence of an increase in air temperature on the ALT thermal regime was more intense during the thawing process than during the freezing process, and this influence decreased with an increase in soil depth. |
format |
Report |
author |
Chang, Juan Wang, Genxu Guo, Linmao |
author_facet |
Chang, Juan Wang, Genxu Guo, Linmao |
author_sort |
Chang, Juan |
title |
Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau |
title_short |
Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau |
title_full |
Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau |
title_fullStr |
Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau |
title_full_unstemmed |
Simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the Qinghai-Tibetan plateau |
title_sort |
simulation of soil thermal dynamics using an artificial neural network model for a permafrost alpine meadow on the qinghai-tibetan plateau |
publisher |
WILEY |
publishDate |
2019 |
url |
http://ir.imde.ac.cn/handle/131551/26973 https://doi.org/10.1002/ppp.2003 |
genre |
Active layer temperature permafrost Permafrost and Periglacial Processes |
genre_facet |
Active layer temperature permafrost Permafrost and Periglacial Processes |
op_relation |
PERMAFROST AND PERIGLACIAL PROCESSES http://ir.imde.ac.cn/handle/131551/26973 doi:10.1002/ppp.2003 |
op_rights |
cn.org.cspace.api.content.CopyrightPolicy@2c2459fa |
op_doi |
https://doi.org/10.1002/ppp.2003 |
container_title |
Permafrost and Periglacial Processes |
container_volume |
30 |
container_issue |
3 |
container_start_page |
195 |
op_container_end_page |
207 |
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