Hence, each day of the RCM had its wind speed hourly values multiplied by a factor to match the cumulative frequency of the observational data daily mean values. For Abu Dhabi, data on atmospheric pressure could not be found; a static standard atmospheric pressure was used since the city is...
Hourly meteorological data on temperature (°C), wind speed (m/s), water vapor pressure (hPa) and precipitation (mm) were derived from the observations of the Spanish Meteorological Agency (AEMET) weather monitoring network. The selection of these weather parameters was done accordingly to the ou...
In the tropical region of Ghana where convective precipitation prevails, the model presented low performance in forecasting the 6-hourly precipitation accumulations (\(\ge 5 mm\)) during the examined period at all distances (Fig.14a). Skillful forecasts were provided at distances greater than or ...
chemical sources/sinks, and atmospheric transport. Here we use the Copernicus Atmosphere Monitoring Service (CAMS) high-resolution forecast of CO2, CH4and CO (https://atmosphere.copernicus.eu/charts/cams/carbon-dioxide-forecasts) which has been demonstrated to produce realistic ...
A hybrid method for one-day ahead hourly forecasting of PV power output. In Proceedings of the 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014, Hangzhou, China, 9–11 June 2014; pp. 526–531. [Google Scholar] [CrossRef] Trombe, P.J.; Pinson, P.; Madsen, H....
This publication was extended in 2015 by the Saxon State Agency for Environment, Agriculture and Geology [16] to 1961–2010 (comparing 1961–1990 and 1981–2010) and expanded by evaluations based on hourly data for 1991–2010. Besides those comprehensive reports on Saxon climatology, several ...
On the other hand, for short time series, aimed at studying storms, we used all the methods listed above, both differential and PPP techniques, and compared hourly differential and fast (5 min) and very fast (30 s) PPP solutions. These faster techniques could, in the future, play a ...
of days and Forecast Lead Time (FLT)s, is proposed. Specifically, temperature forecasts from the NAM-NMM Numerical Weather Prediction model at 12 km are downscaled using 83 Private Weather Stations data over Manhattan, New York City, New York. Forecasts for 84 h are generated, hourly for ...