B ackground. Each spring during the climatological peak of the severe weather season in the United States, the Experimental Forecast Program (EFP) of the National Oceanic and Atmospheric Administration’s (NOAA) Hazardous Weather Testbed (HWT) conducts a multiagency collaborative forecasting experiment known as the HWT EFP Spring Experiment. Organized by the Storm Prediction Center (SPC) and Nat...

Ensemble techniques have been used to generate daily numerical weather forecasts since the 1990s in numerical centers around the world due to the increase in computation ability. One of the main purposes of numerical ensemble forecasts is to try to assimilate the initial uncertainty (initial error) and the forecast uncertainty (forecast error) by applying either the initial perturbation method ...

A watershed simulation and forecasting system is widely used in Finland for simulation of hydrological cycle and for making real-time forecasts. The system is based on a watershed model. This was based originally on the HBV-model and simulates the hydrological cycle using standard meteorological data. The model simulates the whole land area of Finland, including cross-border watersheds. This is...

Abstract We have built a weather app take the current location using latitude & longitude and sends this information to API next it gets temperature of popular areas along with them, then recommends coolest area near user shows location. To get we used listener. The is fetched through listener data arranged into an array list. Async Task method which access at any time required task ran con...

Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to...

To recognize application of Artificial Neural Networks (ANNs) in weather forecasting, especially in rainfall forecasting a comprehensive literature review from 1923 to 2012 is done and presented in this paper. And it is found that architectures of ANN such as BPN, RBFN is best established to be forecast chaotic behavior and have efficient enough to forecast monsoon rainfall as well as other wea...

Can a relatively small numerical weather prediction ensemble produce any more forecast information than can be reproduced by a Gaussian probability density function (PDF)? This question is examined using site-specific probability forecasts from the UK Met Office. These forecasts are based on the 51-member Ensemble Prediction System of the European Centre for Medium-range Weather Forecasts. Veri...

A similar historical load data search technique, which took the sum of meteorological load and secular trend load as clustering center, was put forward. This method can improve the similarity of the loads between forecast day and sample days, and so as to improve the reliability and precision of load forecast. Manifold load forecast methods assembled by optimal weight were also applied. Technic...