Showing 1 - 6 of 6
In this paper, impact of Indian Doppler Weather Radar (DWR) data, i.e., reflectivity (Z), radial velocity (Vr) data individually and in combination has been examined for simulation of mesoscale features of a land-falling cyclone with Advance Regional Prediction System (ARPS) Model at 9-km...
Persistent link: https://www.econbiz.de/10010995764
Extreme weather events such as cloudburst and thunderstorms are great threat to life and property. It is a great challenge for the forecasters to nowcast such hazardous extreme weather events. Mesoscale model (ARPS) with real-time assimilation of DWR data has been operationally implemented in...
Persistent link: https://www.econbiz.de/10010996173
One very specific operational requirement of the Tropical Cyclone (TC) Programme of the Regional Specialized Meteorological Centre, New Delhi is to provide 12-hourly forecasts valid up to 48 h (preferably 72 h) on the intensity of cyclones over the southern Indian Seas. In this paper, a simple...
Persistent link: https://www.econbiz.de/10010996164
The life cycle of Bay of Bengal cyclone GIRI, characterized by a rapid intensification during 36-h interval, is investigated. The cyclone under study underwent a period of explosive cyclogenesis from 0000 UTC 21 October to 1200 UTC 22 October 2010. During this period, the sea level pressure...
Persistent link: https://www.econbiz.de/10010996719
A cyclone genesis parameter, termed the genesis potential parameter (GPP), for the Indian Sea is proposed. The parameter is defined as the product of four variables, namely vorticity at 850 hPa, middle tropospheric relative humidity, middle tropospheric instability, and the inverse of vertical...
Persistent link: https://www.econbiz.de/10010996844
The Hurricane Weather Research and Forecast (HWRF) model, which was operational at the US National Centers for Environmental Prediction, was ported in India Meteorological Department (IMD) for its operational tropical cyclone (TC) track and intensity forecast at Regional Specialised...
Persistent link: https://www.econbiz.de/10011151594