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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Online Access: | http://dx.doi.org/10.3389/fenvs.2021.628999 https://www.frontiersin.org/articles/10.3389/fenvs.2021.628999/full |
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crfrontiers:10.3389/fenvs.2021.628999 2024-06-23T07:53:23+00:00 Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation Zhao, Shanshan He, Wenping Dong, Tianyun Zhou, Jie Xie, Xiaoqiang Mei, Ying Wan, Shiquan Jiang, Yundi 2021 http://dx.doi.org/10.3389/fenvs.2021.628999 https://www.frontiersin.org/articles/10.3389/fenvs.2021.628999/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Environmental Science volume 9 ISSN 2296-665X journal-article 2021 crfrontiers https://doi.org/10.3389/fenvs.2021.628999 2024-06-04T05:53:20Z 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 Frontiers (Publisher) Greenland Frontiers in Environmental Science 9 |
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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 |
Zhao, Shanshan He, Wenping Dong, Tianyun Zhou, Jie Xie, Xiaoqiang Mei, Ying Wan, Shiquan Jiang, Yundi |
spellingShingle |
Zhao, Shanshan He, Wenping Dong, Tianyun Zhou, Jie Xie, Xiaoqiang Mei, Ying Wan, Shiquan Jiang, Yundi Evaluation of the Performance of CMIP5 Models to Simulate Land Surface Air Temperature Based on Long-Range Correlation |
author_facet |
Zhao, Shanshan He, Wenping Dong, Tianyun Zhou, Jie Xie, Xiaoqiang Mei, Ying Wan, Shiquan Jiang, Yundi |
author_sort |
Zhao, Shanshan |
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 SA |
publishDate |
2021 |
url |
http://dx.doi.org/10.3389/fenvs.2021.628999 https://www.frontiersin.org/articles/10.3389/fenvs.2021.628999/full |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
Frontiers in Environmental Science volume 9 ISSN 2296-665X |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fenvs.2021.628999 |
container_title |
Frontiers in Environmental Science |
container_volume |
9 |
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1802644998182666240 |