Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation
The daily average land surface air temperature (SAT) simulated by 8 CMIP5 models historical experiments and that from NCEP data during 1960–2005, are used to evaluate the performance of the CMIP5 model based on detrended fluctuation analysis (DFA) method. The DFA results of NCEP data show that SAT i...
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ftdoajarticles:oai:doaj.org/article:b005c850826541a5a0076d9b780077f8 2023-05-15T16:30:04+02:00 Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation Shanshan Zhao Wenping He Tianyun Dong Jie Zhou Xiaoqiang Xie Ying Mei Shiquan Wan Yundi Jiang 2021-02-01T00:00:00Z https://doi.org/10.3389/fenvs.2021.628999 https://doaj.org/article/b005c850826541a5a0076d9b780077f8 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fenvs.2021.628999/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2021.628999 https://doaj.org/article/b005c850826541a5a0076d9b780077f8 Frontiers in Environmental Science, Vol 9 (2021) detrended fluctuation analysis long-range correlation CMIP5 model intercomparision surface air temperature Environmental sciences GE1-350 article 2021 ftdoajarticles https://doi.org/10.3389/fenvs.2021.628999 2022-12-31T13:38:39Z The daily average land surface air temperature (SAT) simulated by 8 CMIP5 models historical experiments and that from NCEP data during 1960–2005, are used to evaluate the performance of the CMIP5 model based on detrended fluctuation analysis (DFA) method. The DFA results of NCEP data show that SAT in most regions of the world exhibit long-range correlation. The scaling exponents of NCEP SAT show the zonal distribution characteristics of larg in tropics while small in medium and high latitudes. The distribution characteristics of the zonal average scaling exponents of CMCC-CMS, GFDL-ESM2G, IPSL-CM5A-MR are similar to that of NCEP data. From the DFA errors of model-simulated SAT, the performance of IPSL-CM5A-MR is the best among the 8 models throughout the year, the performance of FGOALS-g2 is good in spring and summer, GFDL-ESM2G is the best in autumn, CNRM-CM5 and CMCC-CMS is good in winter. The scaling exponents of model-simulated SAT are closer to that of NCEP data in most areas of the mid-high latitude on the northern hemisphere. However, simulations of SAT in East Asia and Central North American are generally less effective. In spring, most models have better performance in Siberian (SIB), Central Asia (CAS) and Tibetan (TIB). SAT in Northern Europe area are well simulated by most models in summer. In autumn, areas with better performance of most models are Mediterranean, SIB and TIB regions. In winter, SAT in Greenland, SIB and TIB areas are well simulated by most models. Generally speaking, the performance of CMIP5 models for SAT on global continents varies in different seasons and different regions. Article in Journal/Newspaper Greenland Directory of Open Access Journals: DOAJ Articles Greenland Frontiers in Environmental Science 9 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
detrended fluctuation analysis long-range correlation CMIP5 model intercomparision surface air temperature Environmental sciences GE1-350 |
spellingShingle |
detrended fluctuation analysis long-range correlation CMIP5 model intercomparision surface air temperature Environmental sciences GE1-350 Shanshan Zhao Wenping He Tianyun Dong Jie Zhou Xiaoqiang Xie Ying Mei Shiquan Wan Yundi Jiang Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
topic_facet |
detrended fluctuation analysis long-range correlation CMIP5 model intercomparision surface air temperature Environmental sciences GE1-350 |
description |
The daily average land surface air temperature (SAT) simulated by 8 CMIP5 models historical experiments and that from NCEP data during 1960–2005, are used to evaluate the performance of the CMIP5 model based on detrended fluctuation analysis (DFA) method. The DFA results of NCEP data show that SAT in most regions of the world exhibit long-range correlation. The scaling exponents of NCEP SAT show the zonal distribution characteristics of larg in tropics while small in medium and high latitudes. The distribution characteristics of the zonal average scaling exponents of CMCC-CMS, GFDL-ESM2G, IPSL-CM5A-MR are similar to that of NCEP data. From the DFA errors of model-simulated SAT, the performance of IPSL-CM5A-MR is the best among the 8 models throughout the year, the performance of FGOALS-g2 is good in spring and summer, GFDL-ESM2G is the best in autumn, CNRM-CM5 and CMCC-CMS is good in winter. The scaling exponents of model-simulated SAT are closer to that of NCEP data in most areas of the mid-high latitude on the northern hemisphere. However, simulations of SAT in East Asia and Central North American are generally less effective. In spring, most models have better performance in Siberian (SIB), Central Asia (CAS) and Tibetan (TIB). SAT in Northern Europe area are well simulated by most models in summer. In autumn, areas with better performance of most models are Mediterranean, SIB and TIB regions. In winter, SAT in Greenland, SIB and TIB areas are well simulated by most models. Generally speaking, the performance of CMIP5 models for SAT on global continents varies in different seasons and different regions. |
format |
Article in Journal/Newspaper |
author |
Shanshan Zhao Wenping He Tianyun Dong Jie Zhou Xiaoqiang Xie Ying Mei Shiquan Wan Yundi Jiang |
author_facet |
Shanshan Zhao Wenping He Tianyun Dong Jie Zhou Xiaoqiang Xie Ying Mei Shiquan Wan Yundi Jiang |
author_sort |
Shanshan Zhao |
title |
Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
title_short |
Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
title_full |
Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
title_fullStr |
Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
title_full_unstemmed |
Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
title_sort |
evaluation of the performance of cmip5 models to simulate land surface air temperature based on long-range correlation |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doi.org/10.3389/fenvs.2021.628999 https://doaj.org/article/b005c850826541a5a0076d9b780077f8 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Frontiers in Environmental Science, Vol 9 (2021) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fenvs.2021.628999/full https://doaj.org/toc/2296-665X 2296-665X doi:10.3389/fenvs.2021.628999 https://doaj.org/article/b005c850826541a5a0076d9b780077f8 |
op_doi |
https://doi.org/10.3389/fenvs.2021.628999 |
container_title |
Frontiers in Environmental Science |
container_volume |
9 |
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1766019774591008768 |