In order to reduce the effect of numerical weather prediction (NWP) error on short term load forecasting (STLF) and improve the forecasting accuracy, a new hybrid model based on support vector regression (SVR) optimized by an artificial bee colony (ABC) algorithm (ABC-SVR) and seasonal autoregressive integrated moving average (SARIMA) model is proposed. According to the different day types and ...

This paper describes a software environment to facilitate the use of cluster computing for Numerical Weather Prediction (NWP) models. It presents an empirical study based on the NCAR/Penn State MM5 model and another mesoscale model developed at the Pacific Northwest National Laboratory (PNNL). Without appropriate tools, it is tedious and difficult to work with the legacy codes for NWP models. W...

[1] Atmospheric phase delays are considered to be one of the main performance limitations for high-quality satellite radar techniques, especially when applied to ground deformation monitoring. Numerical weather prediction (NWP) models are widely seen as a promising tool for the mitigation of atmospheric delays as they can provide knowledge of the atmospheric conditions at the time of Synthetic ...

In the paper two models implemented to forecast the hourly solar irradiance with a day in advance are described. The models, based on Artificial Neural Networks (ANN), are generated by a master optimization process that defines the best number of neurons and selects a suitable ensemble of ANN. The two models consist of a Statistical (ST) model that uses only local measured data and a Model Outp...

The Sebastes Cuvier, 1829 subgenus Pteropodus Eigenmann and Beeson, 1893 includes six species from the northeastern Pacific Ocean (NEP) and four species from the northwestern Pacific Ocean (NWP). Several NEP species assigned to other subgenera are similar to NEP Pteropodus species. Restriction site variation in the mitochondrial NADH dehydrogenase subunit 3 and 4 genes and the 12S and 16S ribos...

Bell S, Milton S, Wilson C, Davies T. 2002. A New Unified Model, NWP Gazette, pp 3–7. Fawbush EJ, Miller RC. 1953. A method for forecasting hailstone size at the earth’s surface. Bull. Am. Meteorol. Soc. 34: 235–244. Golding BW. 1995. Formulation and performance of an algorithm for determining precipitation type from a rain rate forecast, using NWP model parameters. Forecasting Research Technic...

The EUMETSAT Metop-B satellite with onboard the Advanced Scatterometer (ASCAT) has been successfully launched on September 17, 2012. ASCAT-B onboard Metop-B is identical to the already operational scatterometer ASCAT-A onboard Metop-A which was launched in 2006. KNMI has further developed an ocean calibration method for ASCAT-A, based on Numerical Weather Prediction (NWP) wind inputs, the so-ca...

Ensemble Kalman Filtering is a sequential Monte Carlo method commonly used in meteorology to track atmospheric states and make numerical weather predictions (NWP). With the intent to introduce statisticians to this important area of application we address some of the practical aspects of the ensemble Kalman Filter in dynamic systems. We focus on three topics related to NWP: extending the ensemb...

Temperature and humidity retrievals from an international network of ground-based microwave radiometers (MWR) have been collected and synchronized to exploit the potential for data assimilation into Numerical Weather Prediction (NWP) modeling. This activity is carried on in preparation to the HyMeX Special Observing Period starting in September 2012. The domain under analysis is the HyMeX West ...

The Marine Meteorology Division of the Naval Research Laboratory (NRL MMD) is actively involved in the field of Numerical Weather Prediction (NWP) to provide continuous weather suDoort to the U. S. Navy for both wartime and peacetime missions. This support extends from the Surface of the earth to altitudes exceeding 10 km, and for time scales ranging from a few hours up to 7 days The NWP produc...