RegCM4 model sensitivity to horizontal resolution and domain size in simulating the Indian summer monsoon

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

doi:10.1016/j.atmosres.2018.04.010

Cited by 43 publications

(25 citation statements)

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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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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 model is simulated for three contrasting monsoon seasons, namely, 1987 (deficit), 1988 (excess) and 1989 (normal) with the two dynamic cores. The choice of the coarser resolution derives from the sensitivity studies of Maurya et al (2018), who indicated that the RegCM4.6 model has better skill at simulating the summer monsoon at a 36 km resolution. First, RegCM4.6 is used to simulate the ISM at a 36 km resolution with hydrostatic dynamics.…”

Section: Regional Climate Model Data Used and Methodologymentioning

confidence: 99%

“…With convection-permitting resolutions, the structural evolution of convective systems can be well captured (Skamarock et al, 1994), as well as cold air intrusion in mountainous regions (McNider and Pielke, 1984), and the land-sea breeze (Lebassi et al, 2009) can be simulated better. However, they also possess certain limitations in the form of the accuracy and intervals of initial and boundary conditions (ICBC) (Giorgi et al, 2012), choice of physical parameterizations (Mukhopadhyay et al, 2010;Sinha et al, 2019), tuning of physical processes (Mohanty et al, 2019a), choice of resolution and domain (Maurya et al, 2018), and land surface physics (Maurya et al, 2017).…”

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confidence: 99%

“…Real-time experiments using non-hydrostatic models also helped in the better simulation of convective bubble experiments (Engelbrecht et al, 2007). Nonhydrostatic models are being widely and successfully used in short-and medium-range forecasts of atmospheric events such as cyclones, monsoon depression and heavy rainfall events (Dudhia, 1993;Janjic et al, 2001;Trivedi et al, 2006;Osuri et al, 2017;Mohanty et al, 2018;Mukhopadhyay and Nanjundiah, 2018). Recent studies have been extended to seasonal-scale prediction using non-hydrostatic models (Lebassi-Habtezion and Diffenbaugh, 2013).…”

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confidence: 99%

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Performance of hydrostatic and non‐hydrostatic dynamical cores in RegCM4.6 for Indian summer monsoon simulation

Maurya

Mohanty

Sinha

et al. 2020

Meteorological Applications

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The efficacy of regional climate model RegCM4.6 using hydrostatic core resolutions at 36km (HY36) and 12km (HY12) and a non-hydrostatic core resolution at 12km (NH12) is investigated by simulating the normal, excess and deficit monsoon seasons. The ERA-Interim reanalysis data are used to drive the model and the India Meteorological Department (IMD) and modern-era retrospective analysis for research and applications (MERRA) rainfall data are used for precipitation verification. The heavy rainfall regions are well simulated in the high-compared with the coarse-resolution simulations, with the maximum in the NH12. The non-hydrostatic dynamics amalgamate the vertical acceleration with the orographic uplifting that causes more precipitation over hilly regions than that of the hydrostatic core. On the other hand, the lesser precipitation over northwest India is better portrayed in the HY12 than in the other two. Over central India, the HY36 performs better followed by the NH12; and the contrasting precipitation features are also well depicted in the HY36 and NH12. This is probably because of the better representation of large-scale monsoon features, such as a monsoon trough in the HY36 and local-scale convective activities in the NH12. Daily rainfall analysis also shows that the high-resolution model is capable of capturing the active and break phases during the El Niño and La Niña seasons. The non-hydrostatic model possesses good correlation co-efficients >0.5 over the hydrostatic model with co-efficients of 0.35. The analysis of upper air circulations and the derived parameters, including statistical tests, confirm that the RegCM4.6 with non-hydrostatics is useful for orographic regions, hydrostatic at a coarse resolution and non-hydrostatic at a finer resolution and could be suitable for plain regions.

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“…This shows a clear advantage of increasing horizontal resolution over SA. However, the ROM 0.11 shows an increase of dry bias over the central part of the NEI, probably due to the limitation of using the hydrostatic version at a higher resolution over the region with a complex interaction between the convective system and large-scale dynamics (Maurya et al, 2018). The magnitude of bias reported in this study is considerably less than that of the bias reported in earlier studies using RCM (Lucas-Picher et al, 2011;Kumar et al, 2014a, 2014b, 2014c, Bhatla et al, 2020Kumar and Dimri, 2020) and coupled regional atmosphere-ocean model/RESM (Misra et al, 2017(Misra et al, , 2018Di Sante et al, 2019;Mishra et al, 2021).…”

Section: Mean Monsoonal Characteristics and The Added Valuementioning

confidence: 99%

Impact of horizontal resolution on monsoon precipitation for CORDEX-South Asia: A regional earth system model assessment

Mishra

Kumar

Dubey

et al. 2021

Atmospheric Research

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For the first time for CORDEX-South Asia, a high-resolution regional earth system model (ROM) is adopted to assess the impact of horizontal resolution (0.22 • and 0.11 • ) in simulating the Indian summer monsoon rainfall (ISMR) and the underlying spatiotemporal variability. ROM at both resolutions bears a close resemblance to observations in simulating the mean precipitation climatology compared to other regional climate models (RCMs) participated in CORDEX-South Asia. ROM shows substantial improvement relative to the ensemble mean of the RCMs included in CORDEX-South Asia. While comparing both simulations with observations, some systematic wet and dry bias over Central India (CI) and Northern Western Ghats is noticed. In general, the wet/dry bias over India is mainly associated with the overestimation/underestimation of the large-scale/convective component. Increasing horizontal resolution from 0.22 • to 0.11 • significantly adds value in simulating the JJAS mean precipitation by reducing the wet bias over western central India (WCI) and southern peninsular India and dry bias over eastern CI. The reduction in wet/dry bias is mainly associated with suppression/enhancement of the large scale/convective precipitation. This improvement in mean precipitation is partially due to the improved representation of the propagation of mesoscale systems such as boreal summer intraseasonal oscillation (eastward and northward). Despite the above improvements, the wet precipitation bias, particularly over WCI, persists. The weaker Findlater Jet associated with weaker land-ocean thermal contrast caused by the warm sea surface temperature (SST) bias over the western Arabian Sea (AS) suggests that AS moisture transport does not contribute to the wet bias over India. The wet bias is possibly associated with favourable atmospheric conditions (atmospheric instability).

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RegCM4 model sensitivity to horizontal resolution and domain size in simulating the Indian summer monsoon

Cited by 43 publications

References 50 publications

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

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

Performance of hydrostatic and non‐hydrostatic dynamical cores in RegCM4.6 for Indian summer monsoon simulation

Impact of horizontal resolution on monsoon precipitation for CORDEX-South Asia: A regional earth system model assessment

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