| Issue |
E3S Web Conf.
Volume 101, 2019
2019 10th International Conference on Environmental Science and Development (ICESD 2019)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 5 | |
| Section | Air and Climate | |
| DOI | https://doi.org/10.1051/e3sconf/201910103004 | |
| Published online | 14 June 2019 | |
Study of Monsoonal Features Using Regional Climate Model over Heterogeneous Monsoon Dominated Region
Pandit Deendayal Petroleum University, Raisan, Gandhinagar – 382007, India
* Corresponding author: rohit.prl@gmail.com
Global warming is an increase in average global temperature of the earth which lead to climate change. Heterogeneity in the earth-atmosphere system becomes difficult to capture at low resolution (1°x1°) by satellite. Such features may be captured by using high resolution model such as regional climate model (0.5°x 0.5°). This type of study is quite important for a monsoon dominated country like India where Indo-Gangetic Plains (IGP) faces highest heterogeneity due to its geographic location. Present study compares high resolution model features with satellite data over IGP for monsoon season during a normal rainfall year 2010 to understand the actual performance of model. Almost whole IGP simulates relative humidity (RH) with wide range (~50-100%), whereas satellite shows it with narrow range (~60-80%) during September, 2010. Thus model is able to pick the features which were missed by satellite. Hence further model simulation extends over India and adjoining oceanic regions which simulates data of southwest monsoon with high (~70-100%) RH, high (~0.4-0.7) cloud fraction (CF) and low (~80-200 W/m2) outgoing longwave radiation (OLR) over Arabian Sea during June, 2010. Such type of study can be useful to understand heterogeneity at regional scale with the help of high resolution model generated data.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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