Rainfall Estimation using Image Processing and Regression Model on DWR Rainfall Product for Delhi-NCR Region
Rainfall Estimation using Image Processing and Regression Model on DWR Rainfall Product for Delhi-NCR Region DOI: https://doi.org/10.30564/jasr.v3i1.1859 Abstract Observed rainfall is a very essential parameter for the analysis of rainfall, day to day weather forecast and its validation. The observed rainfall data is only available from five observatories of IMD; while no rainfall data is available at various important locations in and around Delhi-NCR. However, the 24-hour rainfall data observed by Doppler Weather Radar (DWR) for entire Delhi and surrounding region (up to 150 km) is readily available in a pictorial form. In this paper, efforts have been made to derive/estimate the rainfall at desired locations using DWR hydrological products. Firstly, the rainfall at desired locations has been estimated from the precipitation accumulation product (PAC) of the DWR using image processing in Python language. After this, a linear regression model using the least square method h...