Point probabilistic prediction of precipitation and quantitative precipitation forecast in Western Himalayas

نویسندگان

چکیده

Northwest India is comprised of various Himalayan mountain ranges. These ranges are having different altitude and orientations all along this region. During winter season enormous amount precipitation received in region due to westward moving low pressure synoptic weather systems called Western Disturbances (WD). Variable terrain gives rise level circulation during the passage these systems. Surface elements like temperature, relative humidity highly dependent on local topography. To draw projected weather, uncertainties involved relationship between upper surface tried be formally expressed statistical terms. Perfect Prognostic Method (PPM) used forecast Probability Precipitation (PoP) occurrence, followed by Quantitative Forecast (QPF) model. The objective give lead time 24 hour at one specific sites, Sonamarg, situated Great range. Analysis data from National Center for Environmental Prediction (NCEP), US station three stations Meteorological Department (IMD), development Data December, January, February March (DJFM) months 12 year (1984-96) taken developmental mode. Whereas IMD with (i) NCEP analysis, (ii) NCMRWF analysis (iii) NCMRWF’s T80 day 1 DJFM 1996-97 considered verification purpose. Result shows that PoP model could predict 90.4% accuracy set, whereas cases best prediction made 86.8%. In case QPF percentage correct 45.0% maximum 54.2% achieved sample.

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ژورنال

عنوان ژورنال: Mausam

سال: 2022

ISSN: ['0252-9416']

DOI: https://doi.org/10.54302/mausam.v56i3.981