Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases

Abstract Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) are unable to resolve the spatial and temporal characteristics of the South Asian Monsoon satisfactorily. A CGCM with the capability to reliably project the global as well as the regional clim...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Abhishek Anand, Saroj K. Mishra, Sandeep Sahany, Mansi Bhowmick, Janmejai Singh Rawat, S. K. Dash
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/84c0352839864d70bfa1c43062eee1b6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:84c0352839864d70bfa1c43062eee1b6
record_format	dspace
spelling	oai:doaj.org-article:84c0352839864d70bfa1c43062eee1b62021-12-02T16:08:14ZIndian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases10.1038/s41598-018-21865-12045-2322https://doaj.org/article/84c0352839864d70bfa1c43062eee1b62018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-21865-1https://doaj.org/toc/2045-2322Abstract Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) are unable to resolve the spatial and temporal characteristics of the South Asian Monsoon satisfactorily. A CGCM with the capability to reliably project the global as well as the regional climatic features would be a valuable tool for scientists and policymakers. Analysis of 28 CMIP5 models highlights varying degree of biases in precipitation and 2 m surface air temperature (T2m) over south Asia, and the Community Earth System Model (CESM) developed at the National Center for Atmospheric Research is found to be one of the best performing models. However, like all other CMIP5 models, CESM also has some inherent model biases. Using CESM, it is found that the precipitation and T2M biases reduce with increase in the model horizontal resolution from 2° to 0.5°. Further, a few deep convective parameters in the Zhang-McFarlane convection scheme are tuned for 2° and 1° model resolutions using both manual and semi-automatic model tuning methods. Comparing results from the two tuning methods we find that the performance of the manually tuned model is better than that of the semi-automated one.Abhishek AnandSaroj K. MishraSandeep SahanyMansi BhowmickJanmejai Singh RawatS. K. DashNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-14 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Abhishek Anand Saroj K. Mishra Sandeep Sahany Mansi Bhowmick Janmejai Singh Rawat S. K. Dash Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases
description	Abstract Coupled Global Climate Models (CGCMs) of the Coupled Model Intercomparison Project Phase 5 (CMIP5) are unable to resolve the spatial and temporal characteristics of the South Asian Monsoon satisfactorily. A CGCM with the capability to reliably project the global as well as the regional climatic features would be a valuable tool for scientists and policymakers. Analysis of 28 CMIP5 models highlights varying degree of biases in precipitation and 2 m surface air temperature (T2m) over south Asia, and the Community Earth System Model (CESM) developed at the National Center for Atmospheric Research is found to be one of the best performing models. However, like all other CMIP5 models, CESM also has some inherent model biases. Using CESM, it is found that the precipitation and T2M biases reduce with increase in the model horizontal resolution from 2° to 0.5°. Further, a few deep convective parameters in the Zhang-McFarlane convection scheme are tuned for 2° and 1° model resolutions using both manual and semi-automatic model tuning methods. Comparing results from the two tuning methods we find that the performance of the manually tuned model is better than that of the semi-automated one.
format	article
author	Abhishek Anand Saroj K. Mishra Sandeep Sahany Mansi Bhowmick Janmejai Singh Rawat S. K. Dash
author_facet	Abhishek Anand Saroj K. Mishra Sandeep Sahany Mansi Bhowmick Janmejai Singh Rawat S. K. Dash
author_sort	Abhishek Anand
title	Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases
title_short	Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases
title_full	Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases
title_fullStr	Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases
title_full_unstemmed	Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases
title_sort	indian summer monsoon simulations: usefulness of increasing horizontal resolution, manual tuning, and semi-automatic tuning in reducing present-day model biases
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/84c0352839864d70bfa1c43062eee1b6
work_keys_str_mv	AT abhishekanand indiansummermonsoonsimulationsusefulnessofincreasinghorizontalresolutionmanualtuningandsemiautomatictuninginreducingpresentdaymodelbiases AT sarojkmishra indiansummermonsoonsimulationsusefulnessofincreasinghorizontalresolutionmanualtuningandsemiautomatictuninginreducingpresentdaymodelbiases AT sandeepsahany indiansummermonsoonsimulationsusefulnessofincreasinghorizontalresolutionmanualtuningandsemiautomatictuninginreducingpresentdaymodelbiases AT mansibhowmick indiansummermonsoonsimulationsusefulnessofincreasinghorizontalresolutionmanualtuningandsemiautomatictuninginreducingpresentdaymodelbiases AT janmejaisinghrawat indiansummermonsoonsimulationsusefulnessofincreasinghorizontalresolutionmanualtuningandsemiautomatictuninginreducingpresentdaymodelbiases AT skdash indiansummermonsoonsimulationsusefulnessofincreasinghorizontalresolutionmanualtuningandsemiautomatictuninginreducingpresentdaymodelbiases
_version_	1718384541502013440

Indian Summer Monsoon Simulations: Usefulness of Increasing Horizontal Resolution, Manual Tuning, and Semi-Automatic Tuning in Reducing Present-Day Model Biases

Ejemplares similares