Global Satellite Mapping of Precipitation (GSMaP) products in the GPM era
Abstract As the Japanese Global Precipitation Measurement (GPM) product, the Global
Satellite Mapping of Precipitation (GSMaP) has been provided by the Japan Aerospace …
Satellite Mapping of Precipitation (GSMaP) has been provided by the Japan Aerospace …
Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data
Nowcasting of precipitation is a difficult spatiotemporal task because of the non-uniform
characterization of meteorological structures over time. Recently, convolutional LSTM has …
characterization of meteorological structures over time. Recently, convolutional LSTM has …
Northwest monsoon upwelling within the Indonesian seas
The previous studies of upwelling within the Indonesian seas only focused on the Southeast
Monsoon (SEM) season. The western coast of Sumatra Island; the southern coast of Java …
Monsoon (SEM) season. The western coast of Sumatra Island; the southern coast of Java …
Adaptive covariance relaxation methods for ensemble data assimilation: Experiments in the real atmosphere
Covariance inflation plays an important role in the ensemble Kalman filter because the
ensemble‐based error variance is usually underestimated due to various factors such as the …
ensemble‐based error variance is usually underestimated due to various factors such as the …
Sensitivity to localization radii for an ensemble filter numerical weather prediction system with 30-second update
A sensitivity analysis for the horizontal localization scale is performed for a numerical
weather prediction (NWP) system that uses a 30-s update to refresh a 500-m mesh with …
weather prediction (NWP) system that uses a 30-s update to refresh a 500-m mesh with …
[HTML][HTML] Global precipitation forecasts by merging extrapolation-based nowcast and numerical weather prediction with locally optimized weights
Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather
Prediction with Locally Optimized Weights in: Weather and Forecasting Volume 34 Issue 3 …
Prediction with Locally Optimized Weights in: Weather and Forecasting Volume 34 Issue 3 …
DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes
Due to the increasing number of severe phenomena in many regions of the world, weather
nowcasting, which is the weather forecast for a short time period, is one of the most …
nowcasting, which is the weather forecast for a short time period, is one of the most …
Global assessment of the capability of satellite precipitation products to retrieve landslide-triggering extreme rainfall events
Rainfall-induced landsliding is a global and systemic hazard that is likely to increase with
the projections of increased frequency of extreme precipitation with current climate change …
the projections of increased frequency of extreme precipitation with current climate change …
Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
This paper presents a deep supervised learning architecture for 30 min global precipitation
nowcasts with a 4-hour lead time. The architecture follows a U-Net structure with …
nowcasts with a 4-hour lead time. The architecture follows a U-Net structure with …
GSMaP RIKEN Nowcast: Global precipitation nowcasting with data assimilation
Since January 2016, RIKEN has run an extrapolation-based nowcasting system of global
precipitation in real time. Although our previous paper reported the effectiveness of using …
precipitation in real time. Although our previous paper reported the effectiveness of using …