Global monitoring of the precipitation requires the full exploitation of all overpasses of present and future satellites carrying cross-track and conically scanning passive microwave (PMW) radiometers. Therefore, it is essential to achieve consistency and accuracy of passive microwave precipitation retrievals from the different sensors orbiting around the globe. Within the EUMETSAT H-SAF progra...

forecasting of temperature is a very important in meteorology. air temperature prediction is of a concern in environment, industry and agriculture. temperature with precipitation are important factors in meteorology and are used in classification of climate. in this paper we want to predict average monthly temperature for chosen station of isfahan province. an artificial neural network is a pow...

Typically, 50-70% of the total annual precipitation in New Mexico can be produced by convective thunderstorms during the period June through September. These thunderstorms are accompanied by intense lightning and characteristically produce heavy, localized rainfall resulting in high spatial variation in precipitation inputs. During other months precipitation over the entire Sevilleta ( lo5 ha) ...

Convolution-based recurrent neural networks and convolutional have been used extensively in spatiotemporal prediction. However, these methods tend to concentrate on fixed-scale state transitions disregard the complexity of motion. Through statistical analysis, we found that distribution sequence variety motion exhibit some regularity. In light statistics observations, propose Multi-scale Spatio...

1. introduction long-term climatic data are a prerequisite for hydro-meteorological studies and understanding of past climate. iran is mostly located in semi-arid to arid climate zones, so information on the natural long-term variability of the hydroclimate is of great relevance for land use planning, agriculture, and water supply of a growing population. however, the maximum length of recorded...

The lack of high-quality in situ surface precipitation data over the global ocean so far limits the capability to validate satellite precipitation retrievals. The first systematic ship-based surface precipitation data set OceanRAIN (Ocean Rainfall And Ice-phase precipitation measurement Network) aims at providing a comprehensive statistical basis of in situ precipitation reference data from opt...