Quantitative Precipitation Estimation using Overlapped Area in Radar Network

DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data

Accurate rainfall forecasting is critical because it has a great impact on people’s social and economic activities. Recent trends on various literatures shows that Deep Learning (Neural Network) is a promising methodology to tackle many challenging tasks. In this study, we introduce a brand-new data-driven precipitation prediction model called DeepRain. This model predicts the amount of rainfal...

Radar-based quantitative precipitation estimation over arid, semi- arid and Mediterranean climate regimes in Israel

1 Introduction Accurate quantitative precipitation estimation (QPE) is one of the most important elements in meteorological and hydrologic analyses. It has been long recognized, however, that rain gauge networks are usually inadequate because of their limited distribution. During the last decades intense scientific efforts have been devoted to utilize remote sensing information for the estimati...

Towards the use of Integral Radar Volume Descriptors for quantitative areal precipitation estimation - results from pseudo-radar observations

The central objective of our analysis is to significantly enhance the quality of radar derived precipitation estimates by as fully as possible exploiting the information contained in the spatial and temporal variability of 3D radar volume data. The results presented are yet based on pseudo-radar data and rain rates of a regional weather forecasting model and 12 true radiosoundings as well. We p...

Estimation of convective precipitation: the meteorological radar versus an automatic rain gauge network

The estimation of convective precipitation and its contribution to total precipitation is an important issue both in hydrometeorology and radio links. The greatest part of this kind of precipitation is related with high intensity values that can produce floods and/or damage and disturb radio propagation. This contribution proposes two approaches for the estimation of convective precipitation, u...

Quantitative Precipitation Estimation and Quantitative Precipitation Forecasting by the Japan Meteorological Agency