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Simulation of Northeast Monsoon in a coupled regional model framework

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Simulation of Northeast Monsoon in a coupled regional model framework. / Maharana, P.; Kumar, D.; Rai, P.; Tiwari, P. R.; Dimri, A. P.

In: Atmospheric Research, Vol. 266, 105960, 03.2022.

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Maharana, P. ; Kumar, D. ; Rai, P. ; Tiwari, P. R. ; Dimri, A. P. / Simulation of Northeast Monsoon in a coupled regional model framework. In: Atmospheric Research. 2022 ; Vol. 266.

Bibtex

@article{daf5723f5d8143c09123ee7658cb9410,
title = "Simulation of Northeast Monsoon in a coupled regional model framework",
abstract = "The rainfall during Northeast Monsoon (NEM) meets most of the water demand and influences the socioeconomic condition of the population in the southern part of India. The present study focuses to identify a better, coupled land-atmosphere combination using regional downscaling experiments with RegCM4 for representing the mean characteristics of the NEM rainfall. Three suites of model integrations are made using three different land-surface schemes such as Biosphere-Atmosphere Transfer Scheme (BATS), Subgrid-BATS (SUB), and Community Land Model version 4.5 (CLM). The CLM experiment shows a better spatial representation of the rainfall due to the better representation of the moisture flux and convection, whereas the BATS and SUB experiments show strong wet bias (1–6 mm/yr) over Tamilnadu and Kerala. The spatial correlation of the climatological rainfall with respect to observation is maximum (0.5–0.6) for the CLM. However, the model experiments fail to reproduce the interannual variability of rainfall. The better representation of climatological rainfall, evaporation and turbulent fluxes (sensible and latent heat flux) leads to an improved temperature climatology in the CLM experiment. The study illustrates that the CLM land-surface scheme performs better in representing the northeast monsoon as compared to others however there is a need to explore avenues for further improvements in the performance of the coupled model framework.",
keywords = "CLM4.5, Land-surface schemes, Moisture flux, Northeast Monsoon, RegCM4",
author = "P. Maharana and D. Kumar and P. Rai and Tiwari, {P. R.} and Dimri, {A. P.}",
note = "Funding Information: The authors thank the anonymous reviewers for their useful comments which helped to shape the manuscript to the present form. The authors thank the International Centre for Theoretical Physics (ICTP) for freely providing the RegCM4 code. DK thanks UGC for providing timely financial assistance (UGC-SRF). PM thanks Climate Research and Simulation Laboratory (CRSL), SES, JNU for providing the necessary infrastructure for model simulation. Funding Information: The authors thank the anonymous reviewers for their useful comments which helped to shape the manuscript to the present form. The authors thank the International Centre for Theoretical Physics (ICTP) for freely providing the RegCM4 code. DK thanks UGC for providing timely financial assistance (UGC-SRF). PM thanks Climate Research and Simulation Laboratory (CRSL), SES, JNU for providing the necessary infrastructure for model simulation. Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2022",
month = mar,
doi = "10.1016/j.atmosres.2021.105960",
language = "English",
volume = "266",
journal = "Atmospheric Research",
issn = "0169-8095",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Simulation of Northeast Monsoon in a coupled regional model framework

AU - Maharana, P.

AU - Kumar, D.

AU - Rai, P.

AU - Tiwari, P. R.

AU - Dimri, A. P.

N1 - Funding Information: The authors thank the anonymous reviewers for their useful comments which helped to shape the manuscript to the present form. The authors thank the International Centre for Theoretical Physics (ICTP) for freely providing the RegCM4 code. DK thanks UGC for providing timely financial assistance (UGC-SRF). PM thanks Climate Research and Simulation Laboratory (CRSL), SES, JNU for providing the necessary infrastructure for model simulation. Funding Information: The authors thank the anonymous reviewers for their useful comments which helped to shape the manuscript to the present form. The authors thank the International Centre for Theoretical Physics (ICTP) for freely providing the RegCM4 code. DK thanks UGC for providing timely financial assistance (UGC-SRF). PM thanks Climate Research and Simulation Laboratory (CRSL), SES, JNU for providing the necessary infrastructure for model simulation. Publisher Copyright: © 2021 Elsevier B.V.

PY - 2022/3

Y1 - 2022/3

N2 - The rainfall during Northeast Monsoon (NEM) meets most of the water demand and influences the socioeconomic condition of the population in the southern part of India. The present study focuses to identify a better, coupled land-atmosphere combination using regional downscaling experiments with RegCM4 for representing the mean characteristics of the NEM rainfall. Three suites of model integrations are made using three different land-surface schemes such as Biosphere-Atmosphere Transfer Scheme (BATS), Subgrid-BATS (SUB), and Community Land Model version 4.5 (CLM). The CLM experiment shows a better spatial representation of the rainfall due to the better representation of the moisture flux and convection, whereas the BATS and SUB experiments show strong wet bias (1–6 mm/yr) over Tamilnadu and Kerala. The spatial correlation of the climatological rainfall with respect to observation is maximum (0.5–0.6) for the CLM. However, the model experiments fail to reproduce the interannual variability of rainfall. The better representation of climatological rainfall, evaporation and turbulent fluxes (sensible and latent heat flux) leads to an improved temperature climatology in the CLM experiment. The study illustrates that the CLM land-surface scheme performs better in representing the northeast monsoon as compared to others however there is a need to explore avenues for further improvements in the performance of the coupled model framework.

AB - The rainfall during Northeast Monsoon (NEM) meets most of the water demand and influences the socioeconomic condition of the population in the southern part of India. The present study focuses to identify a better, coupled land-atmosphere combination using regional downscaling experiments with RegCM4 for representing the mean characteristics of the NEM rainfall. Three suites of model integrations are made using three different land-surface schemes such as Biosphere-Atmosphere Transfer Scheme (BATS), Subgrid-BATS (SUB), and Community Land Model version 4.5 (CLM). The CLM experiment shows a better spatial representation of the rainfall due to the better representation of the moisture flux and convection, whereas the BATS and SUB experiments show strong wet bias (1–6 mm/yr) over Tamilnadu and Kerala. The spatial correlation of the climatological rainfall with respect to observation is maximum (0.5–0.6) for the CLM. However, the model experiments fail to reproduce the interannual variability of rainfall. The better representation of climatological rainfall, evaporation and turbulent fluxes (sensible and latent heat flux) leads to an improved temperature climatology in the CLM experiment. The study illustrates that the CLM land-surface scheme performs better in representing the northeast monsoon as compared to others however there is a need to explore avenues for further improvements in the performance of the coupled model framework.

KW - CLM4.5

KW - Land-surface schemes

KW - Moisture flux

KW - Northeast Monsoon

KW - RegCM4

UR - http://www.scopus.com/inward/record.url?scp=85121102667&partnerID=8YFLogxK

U2 - 10.1016/j.atmosres.2021.105960

DO - 10.1016/j.atmosres.2021.105960

M3 - Article

AN - SCOPUS:85121102667

VL - 266

JO - Atmospheric Research

JF - Atmospheric Research

SN - 0169-8095

M1 - 105960

ER -