Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data
International audience Land surface temperature (LST) and its annual or inter-annual variations play an important role in understanding global climate change, urban heat island, and the process of land-atmosphere energy exchange. Many annual temperature cycle (ATC) models [i.e., ATC with three or fi...
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Online Access: | https://doi.org/10.1109/ACCESS.2020.3003990 https://hal.archives-ouvertes.fr/hal-03005958/file/Xingzf-IEEE%20Access-July.pdf https://hal.archives-ouvertes.fr/hal-03005958 |
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geo envir Xing, Zefeng Yu, Yanru Duan, Si-Bo Li, Zhao-Liang Gao, Maofang Leng, Pei Zhang, Xia Shang, Guofei Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data |
topic_facet |
geo envir |
description |
International audience Land surface temperature (LST) and its annual or inter-annual variations play an important role in understanding global climate change, urban heat island, and the process of land-atmosphere energy exchange. Many annual temperature cycle (ATC) models [i.e., ATC with three or five parameters (ACP3 or ACP5)] have been proposed to analyze the annual variations of LST in the past decades. In this study, two year-to-year continuous and derivable models (YYCD_ACP3 and YYCD_ACP5 models) were proposed to model several years of ATCs. The fitting results of the YYCD_ACP3 model with global Aqua/MODIS daytime LSTs from 2014 to 2018 show that the YYCD_ACP3 model achieved a good performance in fitting the time-series LSTs with an overall normalized root-mean-square error (NRMSE) of 0.21, coefficient of determination (R 2) of 0.74, and refined index of agreement (d) of 0.85. In addition, the modeling results of ten representative samples covering different climatic conditions and land cover worldwide show that, except for two sites located in tropical and Antarctic, the YYCD_ACP3 model could show a good performance with R 2 greater than 0.6. Although the ACP3 model shows similar performance to the YYCD_ACP3 model, the fitting curve of the YYCD_ACP3 model is continuous and smooth for describing the interannual variations of LST. When the LSTs of 2014-2018 are fitted as a whole by using both models, the YYCD_ACP3 model shows a slightly better performance than that of the ACP3 model. The application of the YYCD_ACP3 model with the global MODIS LSTs from 2003 to 2018 indicates that the results of the YYCD_ACP3 model have the potential to reveal the interannual variations of LST. Therefore, we conclude that the YYCD models are valuable for modeling the variations of LST over several years and can be widely applied. INDEX TERMS Land surface temperature, annual temperature cycle, modeling, MODIS. |
author2 |
Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube) École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE) Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA) Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences (CAAS) |
format |
Article in Journal/Newspaper |
author |
Xing, Zefeng Yu, Yanru Duan, Si-Bo Li, Zhao-Liang Gao, Maofang Leng, Pei Zhang, Xia Shang, Guofei |
author_facet |
Xing, Zefeng Yu, Yanru Duan, Si-Bo Li, Zhao-Liang Gao, Maofang Leng, Pei Zhang, Xia Shang, Guofei |
author_sort |
Xing, Zefeng |
title |
Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data |
title_short |
Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data |
title_full |
Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data |
title_fullStr |
Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data |
title_full_unstemmed |
Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data |
title_sort |
modeling year-to-year variations of clear-sky land surface temperature using aqua/modis data |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://doi.org/10.1109/ACCESS.2020.3003990 https://hal.archives-ouvertes.fr/hal-03005958/file/Xingzf-IEEE%20Access-July.pdf https://hal.archives-ouvertes.fr/hal-03005958 |
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Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 2169-3536 EISSN: 2169-3536 IEEE Access IEEE Access, IEEE, 2020, 8, pp.114541-114553. ⟨10.1109/ACCESS.2020.3003990⟩ |
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hal-03005958 doi:10.1109/ACCESS.2020.3003990 10670/1.dmv9yx https://hal.archives-ouvertes.fr/hal-03005958/file/Xingzf-IEEE%20Access-July.pdf https://hal.archives-ouvertes.fr/hal-03005958 |
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https://doi.org/10.1109/ACCESS.2020.3003990 |
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fttriple:oai:gotriple.eu:10670/1.dmv9yx 2023-05-15T13:33:19+02:00 Modeling Year-to-Year Variations of Clear-Sky Land Surface Temperature Using Aqua/MODIS Data Xing, Zefeng Yu, Yanru Duan, Si-Bo Li, Zhao-Liang Gao, Maofang Leng, Pei Zhang, Xia Shang, Guofei Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube) École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg) Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE) Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA) Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences (CAAS) 2020-07-01 https://doi.org/10.1109/ACCESS.2020.3003990 https://hal.archives-ouvertes.fr/hal-03005958/file/Xingzf-IEEE%20Access-July.pdf https://hal.archives-ouvertes.fr/hal-03005958 en eng HAL CCSD IEEE hal-03005958 doi:10.1109/ACCESS.2020.3003990 10670/1.dmv9yx https://hal.archives-ouvertes.fr/hal-03005958/file/Xingzf-IEEE%20Access-July.pdf https://hal.archives-ouvertes.fr/hal-03005958 other Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 2169-3536 EISSN: 2169-3536 IEEE Access IEEE Access, IEEE, 2020, 8, pp.114541-114553. ⟨10.1109/ACCESS.2020.3003990⟩ geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.1109/ACCESS.2020.3003990 2023-01-22T17:55:49Z International audience Land surface temperature (LST) and its annual or inter-annual variations play an important role in understanding global climate change, urban heat island, and the process of land-atmosphere energy exchange. Many annual temperature cycle (ATC) models [i.e., ATC with three or five parameters (ACP3 or ACP5)] have been proposed to analyze the annual variations of LST in the past decades. In this study, two year-to-year continuous and derivable models (YYCD_ACP3 and YYCD_ACP5 models) were proposed to model several years of ATCs. The fitting results of the YYCD_ACP3 model with global Aqua/MODIS daytime LSTs from 2014 to 2018 show that the YYCD_ACP3 model achieved a good performance in fitting the time-series LSTs with an overall normalized root-mean-square error (NRMSE) of 0.21, coefficient of determination (R 2) of 0.74, and refined index of agreement (d) of 0.85. In addition, the modeling results of ten representative samples covering different climatic conditions and land cover worldwide show that, except for two sites located in tropical and Antarctic, the YYCD_ACP3 model could show a good performance with R 2 greater than 0.6. Although the ACP3 model shows similar performance to the YYCD_ACP3 model, the fitting curve of the YYCD_ACP3 model is continuous and smooth for describing the interannual variations of LST. When the LSTs of 2014-2018 are fitted as a whole by using both models, the YYCD_ACP3 model shows a slightly better performance than that of the ACP3 model. The application of the YYCD_ACP3 model with the global MODIS LSTs from 2003 to 2018 indicates that the results of the YYCD_ACP3 model have the potential to reveal the interannual variations of LST. Therefore, we conclude that the YYCD models are valuable for modeling the variations of LST over several years and can be widely applied. INDEX TERMS Land surface temperature, annual temperature cycle, modeling, MODIS. Article in Journal/Newspaper Antarc* Antarctic Unknown Antarctic IEEE Access 8 114541 114553 |