ECOPERSIA
ECOPERSIA
ECOPERSIA
Basic Sciences
http://ecopersia.modares.ac.ir
1
admin
2322-2700
2538-2152
10.22034/ecopersia
en
jalali
1393
9
1
gregorian
2014
12
1
2
4
online
1
fulltext
en
Prediction of Precipitation for Considering Climate Change and GCM Outputs: Satluj River
<span style="font-size: 10pt; font-family: 'Times New Roman','serif'; line-height: 115%; mso-ascii-theme-font: major-bidi; mso-fareast-font-family: 'MS Mincho'; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Precipitation data is of utmost importance to carry out many hydro-meteorological studies. Observed warming over several decades has been linked to changes in the large-scale hydrological cycle such as: increasing atmospheric water vapour content, changing precipitation patterns, intensity and extremes, reduced snow cover and widespread melting of ice, and changes in soil moisture and runoff. Precipitation changes show substantial spatial and inter-decadal variability. General Circulation Models (GCMs), representing physical processes in the atmosphere, ocean, cryosphere and land surface, are the most advanced tools currently available for simulating the response of the global climate system. Recent interest in global warming has also increased concerns about the possible changes in rainfall amount including floods and drought patterns. This study is based on statistical downscaling, which provide good example of focusing on predicting the rainfall using the input of coarse GCM outputs. In this study, we have used GCM outputs for predicting the rainfall. It is obtained from the study that predicted rain values are higher for the first 30 years in compared to remaining prediction periods. The result has shown that winter rainfall may highly decrease in compared to monsoon, post monsoon and pre-monsoon seasons</span>
Downscaling,General circulation model,Global warning,Rainfall Prediction
757
765
http://ecopersia.modares.ac.ir/browse.php?a_code=A-24-1000-1557&slc_lang=en&sid=24
Narayan
Gautam
Narayan
Gautam
100319475328460057593
100319475328460057593
Yes
Lecturer, Department of Meteorology, Tri-Chandra M. Campus, Tribhuvan University, Kathmandu, Nepal
Lecturer, Department of Meteorology, Tri-Chandra M. Campus, Tribhuvan University, Kathmandu, Nepal
Manohar
Arora
Manohar
Arora
100319475328460057310
100319475328460057310
No
Scientist, National Institute of Hydrology, Roorkee, India
Scientist, National Institute of Hydrology, Roorkee, India
NK
Goel
NK
Goel
100319475328460057309
100319475328460057309
No
Professor, Department of Hydrology, IIT Roorkee, India
Professor, Department of Hydrology, IIT Roorkee, India