2013
DOI: 10.1007/s00382-013-1963-x
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Uncertainties in the regional climate models simulations of South-Asian summer monsoon and climate change

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Cited by 53 publications
(43 citation statements)
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“…It is pertinent to mention here that though CORDEX-SA experiments provide high resolution present and future climate simulations, however, their ability to reproduce the observed hydro-climatology over the steep HKH topography is by hardly any means better than their forcing CMIP5 GCMs, which being consistent to their older versions and downscaled experiments, substantially over-(under-) estimate precipitation (temperatures) and fail to reproduce summer cooling [7,15,16,[82][83][84][85][86][87]. Such cold and wet biases in the CORDEX-SA and their CMIP5 forcing experiments are larger than their projected end of 21st century climatic changes under RCP8.5, indicating huge climatic uncertainty over the UIB [16].…”
Section: Near-future Climate Change Scenariomentioning
confidence: 96%
“…It is pertinent to mention here that though CORDEX-SA experiments provide high resolution present and future climate simulations, however, their ability to reproduce the observed hydro-climatology over the steep HKH topography is by hardly any means better than their forcing CMIP5 GCMs, which being consistent to their older versions and downscaled experiments, substantially over-(under-) estimate precipitation (temperatures) and fail to reproduce summer cooling [7,15,16,[82][83][84][85][86][87]. Such cold and wet biases in the CORDEX-SA and their CMIP5 forcing experiments are larger than their projected end of 21st century climatic changes under RCP8.5, indicating huge climatic uncertainty over the UIB [16].…”
Section: Near-future Climate Change Scenariomentioning
confidence: 96%
“…Weakening of the zonal temperature gradient in equatorial Pacific sea surface temperature (SST) in the model leading to increase in monsoon rainfall in response to warming has been attributed to wet bias (Turner and Annamalai 2012). A climate change study over India showed the Q0 and Q14 simulations to have a wet bias and Q1 a dry bias (Kumar et al 2011), whereas other similar studies over India showed a wet bias (Rupa Kumar et al 2006;Syed et al 2013). The PRECIS simulations also overestimated the number of rainy days in a year (a day with area average rainfall C1.0 mm).…”
Section: Precipitationmentioning
confidence: 99%
“…Seasonal rainfall statistics for the three simulations for three time slices and a baseline are given in Kumar et al 2006;Kumar et al 2011;Syed et al 2013). Rupa Kumar et al (2006) suggested that wet bias may be partly due to the procedures used in determining the spatially averaged observed rainfall quantities.…”
Section: Precipitationmentioning
confidence: 99%
“…Syed et al [4] found the uncertainties in the south Asian summer monsoon using RegCM4 and PRECIS RCMs after downscaling from same global dataset and concluded that the biases appear to come from the difference in the RCM Physics. Islam et al [5] investigated the frequency of cold and warm spells duration over Pakistan using PRECIS regional climate model.…”
Section: Introductionmentioning
confidence: 99%
“…South Asia has diverse climate and characterize by complex topographical features and marked extensive mountain ranges of HKH. Precipitation and temperature regimes of the region are complex due to different weather systems that prevail during the whole year and pose a great challenge to the regional climate models in reproducing the observed climatology [3,4].…”
Section: Introductionmentioning
confidence: 99%