Coupling of Community Land Model with RegCM4 for Indian Summer Monsoon Simulation

Maurya, Rajendra P; Sinha, P. C.; Mohanty, M. R.; Mohanty, U. C.

doi:10.1007/s00024-017-1641-8

Cited by 30 publications

(11 citation statements)

References 74 publications

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“…The period for the calculation of the metrics has been considered as 1975-2005 after discarding the initial 5 years as a spin-up period. From previous studies, it is well known that the 5-year spin-up period is sufficient for the regional climate model to achieve the dynamic equilibrium in the landsurface hydrology (Ratnam and Krishna Kumar 2005;Lim et al 2011;Maurya et al 2017).…”

Section: Methodsmentioning

confidence: 99%

“…In addition, the sensitivity of the convective parameterization (Ratnam and Krishna Kumar 2005;Mukhopadhyay et al 2010;Ali et al 2015;Raju et al 2015;Maity et al 2017;Nayak et al 2017;Kumar and Dimri 2019;Sinha et al 2019), land-surface schemes (Park and Hong 2004;Rockel and Geyer 2008;Maurya et al 2017;Kumar and Dimri 2019), planetary boundary layer (Ajay et al 2019), horizontal resolution (Ratnam and Cox 2006;Maurya et al 2018), boundary forcing (Ghosh et al 2019), the importance of representation of landsurface such as Tibetan snow depth, irrigation, etc. (Dash et al 2006;Douglas et al 2009;Saeed et al 2009;Halder et al 2016), parameter tuning within the parameterization scheme (Mohanty et al 2019), the importance of air-sea coupling (Ratnam et al 2009), etc.…”

Section: Introductionmentioning

confidence: 99%

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Context of the added value in coupled atmosphere-land RegCM4–CLM4.5 in the simulation of Indian summer monsoon

Kumar

Dimri

2020

Clim Dyn

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The potential of the RegCM4-CLM4.5 model for value addition over the MIROC5 GCM for Indian Summer Monsson (ISM) simulation for the present climate has been examined. The added value has been investigated in terms of the added value index (AV) and the Modified Brier Skill Score (MBSS). In general, a strong dry (wet) bias > 5 mm/day in the RegCM4 (MIROC5) dataset was prevalent over different parts of India. Additional precipitation statistics such as the area-averaged mean, standard deviation, correlation coefficient, and percentage bias over the homogeneous region of precipitation suggest that the RegCM4 occasionally improves over the MIROC5, depending upon the region and the metric under consideration. Further, a comparable tropospheric temperature gradient and the vertical wind shear have been found for both the dataset. However, this does not hold for the large-scale moisture transport as the RegCM4 shows an advantage in representing the magnitude and the location of the low-level jet. The dominant unrealistic moisture transport and associated stronger Bay of Bengal branch of circulation causes heavy precipitation (> 12 mm/day), thus leading to improved precipitation statistics for MIROC5. A quantifiable added value over the GCM in terms of the positive indices have been found in the RegCM4. The AV (MBSS) suggests positive values i.e. 0.6-0.8 (0.2-0.5) over major parts of India, signifying added information and/or the improvement upon the downscaling. The experiment certainly provides additional information in the precipitation simulation over the major part of India however the two indices do not necessarily agree over certain areas.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Context of the added value in coupled atmosphere-land RegCM4–CLM4.5 in the simulation of Indian summer monsoon

Kumar

Dimri

2020

Clim Dyn

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“…The regional climate models (RCMs) have been found to realistically simulate the ISMR due to improved regional model physics, better representation of regional topography and land surface processes and better interaction mechanism among different regional model components (i.e., atmosphere, ocean and land) (Gao et al ., ; Bukovsky et al ., ; Dash et al ., ; ; Feng and Fu, ; Pattnayak et al ., ; ; ; Raju et al ., ; Maurya et al ., ; ; Ngo Duc et al ., ; Bhatla et al ., ; Choudhary et al ., ; Devanand et al ., ; Ghimire et al ., ; Ghosh et al ., ; Hassan and Du, ; Mishra and Dwivedi, ; Nayak et al ., ). It has been argued that the rainfall distribution simulated by the downscaled high‐resolution RCMs also capture at local scales (and physical processes) which are not resolved by the general circulation models (GCMs) (Giorgi et al ., ; Dobler and Ahrens, ; Lucas‐Picher et al ., ; Dash et al ., ; ; Mishra and Dwivedi, ).…”

Section: Introductionmentioning

confidence: 99%

Role of Arabian Sea warming on the Indian summer monsoon rainfall in a regional climate model

Mishra

Dwivedi

Das

2019

Intl Journal of Climatology

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The role of the Arabian Sea (AS) warming on the Indian summer monsoon rainfall is investigated using regional climate model‐Regional Climate Model version 4.7 of International Centre for Theoretical Physics. The model realistically simulates the rainfall, temperature, low‐level winds and vertically integrated moisture flux over the Indian region during the years 2006–2015. It is found that the AS warming decreases the rainfall over most parts of the India, which is mainly due to decrease in the convective precipitation over these regions. The AS warming reduces the magnitude of westerly winds in the southern Bay of Bengal and AS; enhances the moisture convergence over the AS; and causes the prohibition of the moisture‐laden winds from the AS to reach to the Indian land regions resulting into decreased precipitation. The effect of anti‐cyclonic circulation produced over the central India as a result of the AS warming is to further reduce the monsoon rainfall. It is also shown that the AS warming increases the extreme rainfall over most parts of India.

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“…Also, it captures the mean patterns and climatological features other meteorological parameters (temperature, wind, precipitation etc.) over Indian regions (Ajay et al, 2019;Maurya et al, 2017;Mohanty et al, 2019;Pattnayak et al, 2018;Tiwari et al, 2015). RegCM4.5 has both online dust and anthropogenic aerosol modules, hence is widely used to study the aerosol-climate interactions (Abish and Arun, 2019;Ajay et al, 2019;Das et al, 2015b;Maharana et al, 2019;Nair et al, 2012;Solmon et al, 2006).…”

Section: Methodsmentioning

confidence: 99%

Assessment of Recent Changes in Dust over South Asia Using RegCM

Acharya¹,

Sk²,

Vinoj³

2021

Preprint

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Pre-monsoon dust aerosols over Indian regions are closely linked to the monsoon dynamics and Indian summer monsoon rainfall. Past observational studies have shown a decline in dust loading over the Indian landmass potentially caused by changing rainfall patterns over the desert regions. Such changes are expected to have far reaching impact on regional energy balance and monsoon rainfall. Using a regional climate-chemistry model, RegCM4.5 with an updated land module, we have simulated the long-term (2001-2015) changes in dust over the arid and semi-arid dust source regions of the North-Western part of the sub-continent. It is found that the area-averaged dust aerosol optical depth (AOD) over the arid and semi-arid desert regions has declined by 17% since the start of this millennium. The rainfall over these regions exhibits a positive trend of 0.1 mm day-1year-1 and a net increase of > 50%. The wet deposition is found to be dominant and ~5 fold larger in magnitude over dry deposition and exhibits total changes of ~ 79 % and 48% in the trends in atmospheric dust. As a response, significant change in the surface (11%), top of the atmosphere radiative forcing (7%), and widespread atmospheric cooling are observed in short wave domain of radiation spectrum, over the Northern part of the Indian landmass. Such quantification and long term change studies are necessary for understanding the regional climate change and the water cycle.

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Coupling of Community Land Model with RegCM4 for Indian Summer Monsoon Simulation

Cited by 30 publications

References 74 publications

Context of the added value in coupled atmosphere-land RegCM4–CLM4.5 in the simulation of Indian summer monsoon

Context of the added value in coupled atmosphere-land RegCM4–CLM4.5 in the simulation of Indian summer monsoon

Role of Arabian Sea warming on the Indian summer monsoon rainfall in a regional climate model

Assessment of Recent Changes in Dust over South Asia Using RegCM

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