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Archivo - ECMWF - Viento 10 m P

Tiempo básico
Día Mes Año
Base
mié 24.04 00 UTC

Viento 10 m ECMWF Modelo

Modelo:

ECMWF: Global weather forecast model from the "European Centre for Medium-Range Weather Forecasts"

Actualizado:
4 times per day, from 06:00, 12:00, 18:00 and 00:00 UTC
Copyright:
This service is based on data and products of the European Centre for Medium-Range Weather Forecasts (ECMWF)
Source: https://www.ecmwf.int
Licence Statement:
This ECMWF data is published under a Creative Commons Attribution 4.0 International (CC BY 4.0).
Link: https://creativecommons.org/licenses/by/4.0/

The maps produced by WeatherOnline are subject to the Terms and Conditions.
Disclaimer:
ECMWF does not accept any liability whatsoever for any error or omission in the data, their availability, or for any loss or damage arising from their use.
Tiempo medio de Greenwich:
12:00 UTC = 13:00 CET
Resolutión:
0.4° x 0.4°
Parámetro:
Wind 10 meters above the ground
Descripción:
This chart displays the modeled average wind vector in 10 m above the ground for every grid point of the model (ca. every 80 km). In general, the actual observed wind velocity at 10 m above ground is a little bit lower than the modeled one. However, usually the computed wind velocity is pretty close to the reality. Therefore this chart is very useful for sailors, gliders, hang gliders and balloon pilots. (wind-converter)
NWP:
Numerical weather prediction uses current weather conditions as input into mathematical models of the atmosphere to predict the weather. Although the first efforts to accomplish this were done in the 1920s, it wasn't until the advent of the computer and computer simulation that it was feasible to do in real-time. Manipulating the huge datasets and performing the complex calculations necessary to do this on a resolution fine enough to make the results useful requires the use of some of the most powerful supercomputers in the world. A number of forecast models, both global and regional in scale, are run to help create forecasts for nations worldwide. Use of model ensemble forecasts helps to define the forecast uncertainty and extend weather forecasting farther into the future than would otherwise be possible.

Wikipedia, Numerical weather prediction, http://en.wikipedia.org/wiki/Numerical_weather_prediction(as of Feb. 9, 2010, 20:50 UTC).
Viento 10 m ECMWF mié 24.04.2024 00 UTC
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