International audienceRainfall forecasting is a major issue for anticipating severe meteorological events and for agriculture management. Weather radar imaging has been identified in the literature as the best way to measure rainfall on a large domain, with a fine spatial and temporal resolution. This paper describes two methods allowing to improve rain nowcast from radar images at two different scales. These methods are further compared to an operational chain relying on only one type of radar observation. The comparison is led with regional and local criteria. For both, significant improvements are quantified compared to the original method
Rainfall is not only one of the most natural processes on the earth, but also an important factor of...
International audienceA new approach for the nowcasting of precipitation has been developed at the G...
In order to improve conventional rainfall nowcasting, radar extrapolation and high-resolution numeri...
International audienceRainfall forecasting is a major issue for anticipating severe meteorological e...
International audienceThe paper describes an operational method of rainfall now-casting based on gro...
The forecast of precipitation takes a special place, in view of their direct economic impact. Thes...
La prévision du taux de précipitations occupe une place particulière, compte tenu de leur impact dir...
International audienceThe paper describes a rain nowcasting method, based on multi-resolution radar ...
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis...
Radar rainfall nowcasting, the process of statistically extrapolating the most recent rainfall obser...
Accurate and robust short-term rainfall forecasts (nowcasts) are useful in operational flood forecas...
Nowcasting precipitation, that is, accurately predicting its location and intensity minutes to a few...
Quantitative precipitation nowcasting (QPN) has become an essential technique in various application...
This work introduces a new variational Bayes data assimilation method for the stochastic estimation ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
Rainfall is not only one of the most natural processes on the earth, but also an important factor of...
International audienceA new approach for the nowcasting of precipitation has been developed at the G...
In order to improve conventional rainfall nowcasting, radar extrapolation and high-resolution numeri...
International audienceRainfall forecasting is a major issue for anticipating severe meteorological e...
International audienceThe paper describes an operational method of rainfall now-casting based on gro...
The forecast of precipitation takes a special place, in view of their direct economic impact. Thes...
La prévision du taux de précipitations occupe une place particulière, compte tenu de leur impact dir...
International audienceThe paper describes a rain nowcasting method, based on multi-resolution radar ...
As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis...
Radar rainfall nowcasting, the process of statistically extrapolating the most recent rainfall obser...
Accurate and robust short-term rainfall forecasts (nowcasts) are useful in operational flood forecas...
Nowcasting precipitation, that is, accurately predicting its location and intensity minutes to a few...
Quantitative precipitation nowcasting (QPN) has become an essential technique in various application...
This work introduces a new variational Bayes data assimilation method for the stochastic estimation ...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
Rainfall is not only one of the most natural processes on the earth, but also an important factor of...
International audienceA new approach for the nowcasting of precipitation has been developed at the G...
In order to improve conventional rainfall nowcasting, radar extrapolation and high-resolution numeri...