Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century

This study evaluates the performance of 13 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for simulating the temperature over Thailand during 2000–2014, for land-only, sea-only, and both land and sea. Both observation and reanalysis datasets are employed...

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Autores principales:	Suchada Kamworapan, Pham Thi Bich Thao, Shabbir H. Gheewala, Sittichai Pimonsree, Kritana Prueksakorn
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Global climate models CMIP6 Temperature Thailand Science (General) Q1-390 Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/b730bc1bef9148a18d5a8b165a816458
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spelling	oai:doaj.org-article:b730bc1bef9148a18d5a8b165a8164582021-12-02T05:02:20ZEvaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century2405-844010.1016/j.heliyon.2021.e08263https://doaj.org/article/b730bc1bef9148a18d5a8b165a8164582021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405844021023665https://doaj.org/toc/2405-8440This study evaluates the performance of 13 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for simulating the temperature over Thailand during 2000–2014, for land-only, sea-only, and both land and sea. Both observation and reanalysis datasets are employed to compare with the GCMs, evaluated by five performance metrics including mean annual temperature, mean bias errors, mean seasonal cycle amplitude, correlation coefficient, and root mean square error. GCMs are ranked by relative error of all performance metrics. Results show that the temperatures from most GCM simulations are below the mean reference data (i.e., average of ground-based and reanalysis datasets), with north to south gradient in the range from 19 °C to 33 °C. In addition, all the GCM biases range from -0.07 °C to 2.78 °C and show severity of the temperature changes in spatial pattern ranging from -5 °C to 15 °C. The correlations of most GCMs range from 0.70 to 0.95, while the magnitudes of error are less than 2 °C. Study cases point out that the 13-MODEL ENSEMBLE, CESM2, and CNRM-CM6-1 perform better than the other models in simulating the temperature over Thailand for land-only and sea-only, and both land and sea cases, respectively, while MIROC6 performs the worst for all study cases in this study area. From the designed methodology, CNRM-CM6-1 has the best performance and is the most appropriate choice to simulate the temperature for the overall Thailand area.Suchada KamworapanPham Thi Bich ThaoShabbir H. GheewalaSittichai PimonsreeKritana PrueksakornElsevierarticleGlobal climate modelsCMIP6TemperatureThailandScience (General)Q1-390Social sciences (General)H1-99ENHeliyon, Vol 7, Iss 11, Pp e08263- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Global climate models CMIP6 Temperature Thailand Science (General) Q1-390 Social sciences (General) H1-99
spellingShingle	Global climate models CMIP6 Temperature Thailand Science (General) Q1-390 Social sciences (General) H1-99 Suchada Kamworapan Pham Thi Bich Thao Shabbir H. Gheewala Sittichai Pimonsree Kritana Prueksakorn Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century
description	This study evaluates the performance of 13 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) for simulating the temperature over Thailand during 2000–2014, for land-only, sea-only, and both land and sea. Both observation and reanalysis datasets are employed to compare with the GCMs, evaluated by five performance metrics including mean annual temperature, mean bias errors, mean seasonal cycle amplitude, correlation coefficient, and root mean square error. GCMs are ranked by relative error of all performance metrics. Results show that the temperatures from most GCM simulations are below the mean reference data (i.e., average of ground-based and reanalysis datasets), with north to south gradient in the range from 19 °C to 33 °C. In addition, all the GCM biases range from -0.07 °C to 2.78 °C and show severity of the temperature changes in spatial pattern ranging from -5 °C to 15 °C. The correlations of most GCMs range from 0.70 to 0.95, while the magnitudes of error are less than 2 °C. Study cases point out that the 13-MODEL ENSEMBLE, CESM2, and CNRM-CM6-1 perform better than the other models in simulating the temperature over Thailand for land-only and sea-only, and both land and sea cases, respectively, while MIROC6 performs the worst for all study cases in this study area. From the designed methodology, CNRM-CM6-1 has the best performance and is the most appropriate choice to simulate the temperature for the overall Thailand area.
format	article
author	Suchada Kamworapan Pham Thi Bich Thao Shabbir H. Gheewala Sittichai Pimonsree Kritana Prueksakorn
author_facet	Suchada Kamworapan Pham Thi Bich Thao Shabbir H. Gheewala Sittichai Pimonsree Kritana Prueksakorn
author_sort	Suchada Kamworapan
title	Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century
title_short	Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century
title_full	Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century
title_fullStr	Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century
title_full_unstemmed	Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century
title_sort	evaluation of cmip6 gcms for simulations of temperature over thailand and nearby areas in the early 21st century
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b730bc1bef9148a18d5a8b165a816458
work_keys_str_mv	AT suchadakamworapan evaluationofcmip6gcmsforsimulationsoftemperatureoverthailandandnearbyareasintheearly21stcentury AT phamthibichthao evaluationofcmip6gcmsforsimulationsoftemperatureoverthailandandnearbyareasintheearly21stcentury AT shabbirhgheewala evaluationofcmip6gcmsforsimulationsoftemperatureoverthailandandnearbyareasintheearly21stcentury AT sittichaipimonsree evaluationofcmip6gcmsforsimulationsoftemperatureoverthailandandnearbyareasintheearly21stcentury AT kritanaprueksakorn evaluationofcmip6gcmsforsimulationsoftemperatureoverthailandandnearbyareasintheearly21stcentury
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Evaluation of CMIP6 GCMs for simulations of temperature over Thailand and nearby areas in the early 21st century

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