Robust signals of future projections of Indian summer monsoon rainfall by IPCC AR5 climate models: Role of seasonal cycle and interannual variability

Coupled Model Intercomparison Project phase 5 (Fifth Assessment Report of Intergovernmental Panel on Climate Change) coupled global climate model Representative Concentration Pathway 8.5 simulations are analyzed to derive robust signals of projected changes in Indian summer monsoon rainfall (ISMR) and its variability. Models project clear future temperature increase but diverse changes in ISMR with substantial intermodel spread. Objective measures of interannual variability (IAV) yields nearly equal chance for future increase or decrease. This leads to discrepancy in quantifying changes in ISMR and variability. However, based primarily on the physical association between mean changes in ISMR and its IAV, and objective methods such as k‐means clustering with Dunn's validity index, mean seasonal cycle, and reliability ensemble averaging, projections fall into distinct groups. Physically consistent groups of models with the highest reliability project future reduction in the frequency of light rainfall but increase in high to extreme rainfall and thereby future increase in ISMR by 0.74 ± 0.36 mm d−1, along with increased future IAV. These robust estimates of future changes are important for useful impact assessments.

[1]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[2]  J. C. Dunn,et al.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .

[3]  Eastward Propagation of 30–60 Day Perturbations as Revealed from Outgoing Longwave Radiation Data , 1986 .

[4]  Kenneth R. Sperber,et al.  Interannual Tropical Rainfall Variability in General Circulation Model Simulations Associated with the Atmospheric Model Intercomparison Project , 1996 .

[5]  Sulochana Gadgil,et al.  Monsoon precipitation in the AMIP runs , 1998 .

[6]  M. Unkašević Statistical analysis of daily maximum and monthly precipitation at Belgrade , 2000 .

[7]  F. Giorgi,et al.  Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the reliability ensemble averaging (REA) method , 2002 .

[8]  R. Nanjundiah,et al.  The Impact of Surface Hydrology on the Simulation of Tropical Intraseasonal Oscillation in NCAR (CCM2) Atmospheric GCM , 2002 .

[9]  M. Rajeevan,et al.  High resolution daily gridded rainfall data for the Indian region: Analysis of break and active monsoon spells , 2006 .

[10]  Bin Wang,et al.  The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century , 2013, Climate Dynamics.

[11]  Jagannathan Srinivasan,et al.  Monsoon circulation interaction with Western Ghats orography under changing climate , 2012, Theoretical and Applied Climatology.

[12]  A. Kitoh,et al.  How dependent is climate change projection of Indian summer monsoon rainfall and extreme events on model resolution ? , 2013 .

[13]  K. Rajendran,et al.  Do CMIP5 simulations of Indian summer monsoon rainfall differ from those of CMIP3? , 2014 .