Open AccessCMIP5 multimodel projections of extreme weather events in the humid subtropical Gangetic Plain region of India
Author(s) -
Nath Reshmita,
Cui Xuefeng,
Nath Debashis,
Graf Hans F.,
Chen Wen,
Wang Lin,
Gong Hainan,
Li Qian
Publication year - 2017
Publication title -
earth's future
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.641
H-Index - 39
ISSN - 2328-4277
DOI - 10.1002/2016ef000482
Subject(s) - precipitation , environmental science , evapotranspiration , subtropics , coupled model intercomparison project , climatology , population , flood myth , tropics , aridity index , atmospheric sciences , climate change , geography , climate model , meteorology , geology , ecology , biology , demography , archaeology , sociology
Since 1960s, India experiences a series of extreme drought and flood events during the summer months. The Humid Subtropical Climatic Zone ( HSTC ), which comprises the Indo‐Gangetic Plain region of India, is highly vulnerable to the climatic extremities. This region is the home for approximately 40% of total population and yields approximately 50% of total agricultural production of India. We investigate the historical variation in dry/wet conditions and project the future changes in extreme events under two different scenarios of the Coupled Model Inter‐comparison Project 5 models. First, the model parameters, that is, precipitation ( P ) and temperature ( T ) are bias corrected with respect to observation data and finally six models are selected, which are in right phase with the observation for composite analysis. Next, we calculate the potential evapotranspiration (PET) and the Standardized Potential Evapotranspiration Index to characterize the extreme events. Both P and PET are projected to increase in the HSTC zone; however, both the wet and dry conditions demonstrate a persistent increase in future. In relative terms, P increases faster than PET along the Gangetic Plain region (wet condition) and decreases in the southern and eastern part of the region (dry condition). The mitigating effect (RCP4.5 scenario) of precipitation increase will be overridden by strengthened PET and extreme dry condition project markedly under RCP8 .5 scenario. The features are consistent with the increase/ decrease in multimodel mean SPEI , consistent with the spatial pattern of P −PET. The area affected due to wet and dry events will be relatively higher under the RCP4 .5 and RCP8 .5 scenario, respectively.