Weather forecasting has been a major challenge due to the uncertain nature of the weather. Numerical models, such as the "Action de Recherche Petite Echelle Grande Echelle" (ARPEGE), the "Global Forecasting System", the "European Center for Medium-Range Weather Forecasts", are widely adopted by...
For the forecast, I used a quantile regression forest approach using the solar variables provided by the Bureau of Meterology of Australia (BOM) and many of the weather variables from the European Centre for Medium-Range Weather Forecasting (ECMWF). Groups of buildings and all of the solar ...
Wetzel and Martin present an ingredients-based methodology for forecasting winter season precipitation. Although they are to be commended for offering a framework for winter-weather forecasting, disagreements arise with some of their specific recommendations. In particular, this paper clarifies the general...
Methodologically evolved from forecasting [4], nowcasting methods focus on predictions for the present, the immediate future, and the recent past [5,6]. Nowcasting methods use high-frequency indicators or preliminary measurements related to the value of interest and focus on updating predictions using...
Climate projections differ significantly from weather forecasting. Forecasts cannot predict weather with high accuracy beyond a few days. Numerical weather forecasts take observations as a starting point. The number of observations is limited as is the accuracy with which they are made. Small ...
Agrometeorological Crop Yield Forecasting Methods The impact of adverse weather conditions (AWCs) on crop production is random in both time and space and depends on factors such as severity, previous agrom... R Gommes 被引量: 10发表: 1998年 Separating out the influence of climatic trend, fluc...
1.Based on numerical weather prediction,as well as conventional and non-conventional meteorological data,the ingredients-based methodology was employed to perform diagnostic analyses on historical torrential rain events,trying to find a better way to select factors for the method in terms of heavy rain...
This paper presents PLEXOS modelling of the Nordic and Baltic low-carbon electricity market until 2030, using a total of 35 different weather years' (1982鈥 2016) ERAA profiles as inputs for the modelling and focusing on the occurrence of... T Koivunen,S Syri 被引量: 0发表: 2024年 Electr...
We test the methodology by assessing the performance of the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) against ground-based air quality observations over Cyprus, a member state of the European Union. Two nested domains are used (at 50- and 10-km horizontal grid ...
A proposed methodology for model-based feature-specific prediction designed for high impact weatherTimely and accurate delivery of weather information is an integral part of the forecasting process; however, forecasters continue to be presented with an ever-increasing volume of data. While convection-...