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Numerical Weather Forecasting Model Articles & Analysis
19 articles found
NetCDF files are widely used in multiple applications, for example, most of the Numerical Prediction Model Weather Research Forecast (WRF) input and output files are written in this format. ...
This data is collected over a period of time to identify patterns and trends, which are then used to predict future weather conditions. Information collected from weather stations is also used to validate numerical weather prediction models, which increasingly rely on real-time data for accurate predictions. ...
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By comparing the performance of models to real-life data, researchers hope to isolate problem areas and produce more accurate air quality forecasts. ...
Abstract Developing operational numerical weather prediction models to improve wind energy forecasts by leveraging a multi-scale dataset from the second Wind Forecast Improvement Project field campaign in the northwest U.S. ...
The 2% efficiency increase at La Africana was achieved “using only the direct normal irradiance (DNI) maps for the time of the image acquisition," he noted. The combination of short-term weather forecasting and smart technology could significantly boost CSP revenues. ...
In this study we show the effectiveness of the combined use of numerical weather predictions and hydrological modelling to forecast soil moisture and crop water requirement in order to optimize irrigation scheduling. This system combines state of the art mathematical models and new technologies for environmental ...
In order to prepare cities for these types of flood events – especially in the future climate – it is valuable to be able to simulate these events numerically, both historically and in real-time. There is a rather untested potential in real-time prediction of urban floods. In this paper, radar data observations with different spatial and temporal resolution, radar nowcasts of 0–2 ...
This study compares two different types of rainfall forecast – a radar rainfall extrapolation-based nowcast model and a numerical weather prediction model. ...
The complex nature of quantitative precipitation forecasts (QPFs) from numerical weather prediction (NWP) models has facilitated a need to model and manage uncertainty. This paper presents a probabilistic approach for modelling uncertainty from single-valued QPFs at different ...
One–year (2006) WRF model simulations performed at a European scale and ECMWF–IFS forecasts are compared with 10 m wind speed and 2 m temperature observations from around 1,200 surface stations. ...
The Authority for Electricity Regulation in Oman has recently announced the implementation of a 500 kW wind farm pilot project in Masirah Island. Detailed wind resource assessment is then required to identify the most suitable location for this project. This paper presents wind resource assessment using nested ensemble numerical weather prediction (NWP) model's approach at 2.8 km resolution and ...
There are several statistical downscaling methods available for generating local-scale meteorological variables from large-scale model outputs. There is still no universal single method, or group of methods, that is clearly superior, particularly for downscaling daily precipitation. This paper compares different statistical methods for downscaling daily precipitation from numerical weather ...
Regulatory dispersion modelling uses hourly synoptic observations (OBS) from a nearby station. Alternatively, hourly Numerical Weather Prediction (NWP) data are useable in air quality management. In parallel runs, OBS data and NWP (two grid scales, ∼60 km and ∼12 km) were input to the meteorological pre–processor of the Met Office NAME III dispersion model. Frequency distribution results for ...
A coupled Eulerian photochemical reaction-transport model and a detailed ozone dry deposition model have been utilised for the estimation of stomatal ozone fluxes over Hungary. Ozone concentrations were modelled on an unstructured triangular grid using a method of lines approach to the solution of the reaction-diffusion-advection equations describing ozone formation, transport and deposition. The ...
Urban dispersion models have parameters for the turbulence and mixing height. We identify the parameters in meteorological pre-processors, which are, in principle, measurable by pulsed Doppler lidar. ...
A new method of four-dimensional data assimilation based on Singular Value Decomposition (SVD) is proposed. In it, a set of atmospheric states is obtained by integrating a numerical weather prediction model and simulated observations are taken and calculated from the model variables. Then the SVD technique is used to create the base vectors from this coupled data set. Finally, the analysis is ...
The application of the bulk Richardson number approach to determine the height of the marine atmospheric boundary layer from standard output of Numerical Weather Prediction models is discussed. It is argued that over smooth surfaces like the sea, the critical Richardson number can be expected to be smaller than over land. Based on 4 days of intensive measurements of the height of the marine ...
Numerical weather prediction (NWP) models are being used to provide inputs of wind fields, vertical temperature and stability structure, surface heat and momentum fluxes, mixing depths, and other parameters to atmospheric dispersion models. However, previous evaluations of NWP models tended to focus more on predictions of weather related parameters, such as rainfall and 500 mb height. An ...
Several numerical weather prediction models that generate these comprehensive data sets are routinely being run by the National Oceanic and Atmospheric Administration (NOAA) to support forecast operations of the National Weather Service (NWS). ...