Climate Dynamics

, Volume 53, Issue 1–2, pp 329–352 | Cite as

Obtaining best parameterization scheme of RegCM 4.4 for aerosols and chemistry simulations over the CORDEX South Asia

  • P. Ajay
  • B. PathakEmail author
  • F. Solmon
  • P. K. Bhuyan
  • F. Giorgi


The regional climate model RegCM 4.4 at 50 km resolution is used to conduct a sensitivity study over South Asia Coordinated Regional climate Downscaling Experiment domain during the period 1998–2002, in order to investigate the best cumulus convective precipitation scheme, planetary boundary layer (PBL) and land-surface scheme. The inferences obtained from 11 sensitivity experiments include the better performance of community land model version 4.5 (CLM 4.5) over biosphere–atmosphere transfer scheme, Tiedtke as cumulus convective precipitation scheme and University of Washington (UW) as PBL scheme. The simulation with these parameterization schemes well captures the monsoon precipitation pattern over India ~ 7 mm/day and North Eastern Region of India (NER) ~ 12 mm/day, which are comparable to observations with a significant correlation of R2 > 0.93. The observed temperatures are also well simulated by the model. Therefore, RegCM 4.4 with these parameterization schemes is further used to simulate the aerosol fields (aerosol optical depth, AOD and black carbon, BC) and aerosol direct radiative forcing (DRF) for the period 2011–2014 over the same domain with special emphasis on NER. The model captures the seasonality in AOD and BC over the Indian Subcontinent and NER. BC hotspots in the Indo-Gangetic Plain and China are well captured by the model. The observed to simulated BC ratio over Dibrugarh (located in NER) is found to be improved. The model underestimation is significant in the dry season when burning over the region is predominant, which has not been considered by the emission inventories properly. Simulated DRF is found to exhibit seasonality qualitatively as well as a North–South latitudinal gradient.


Regional climate model CORDEX South Asia Sensitivity test Aerosol DRF 



The authors are thankful to the RegCM, ERA-Interim, TRMM, CRU, IMD, GPCP and MODIS science team. The ground based data are obtained from four ARFINET stations maintained by ISRO under its Geosphere-Biosphere Programme, in North-East India. BP is a Junior Associate in the ICTP, Trieste and thankful to ICTP for providing access to their computational system. AP is grateful to ISRO-GBP ARFI for providing him fellowship to undertake the work. This work is partly supported by the UGC SAP DRS II programme. PKB is an Emeritus Professor under UGC. Authors are sincerely grateful to the anonymous referees for their valuable suggestions in improving the manuscript.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • P. Ajay
    • 1
  • B. Pathak
    • 1
    • 2
    Email author
  • F. Solmon
    • 3
  • P. K. Bhuyan
    • 1
    • 2
  • F. Giorgi
    • 4
  1. 1.Centre for Atmospheric StudiesDibrugarh UniversityDibrugarhIndia
  2. 2.Department of PhysicsDibrugarh UniversityDibrugarhIndia
  3. 3.Laboratoir d’Aerologie, Observatoir Midi-PyreneesToulouseFrance
  4. 4.Earth System Physics SectionInternational Centre for Theoretical PhysicsTriesteItaly

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