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WRF ( Weather Research Forecast ) Weather Model and CGM ( Global Circulation Model )


 WRF EMM, NEMS weather model



 WRF EMM, NEMS weather model

Datameteo WRF’s numerical weather forecasts cover 168-180 hours from the moment of initialization to the end, updated 2-4 times a day, depending on the area model domain.
The WRF model solvers used are the NEMS (numerical multiscale model) and EMM ( Eulerian Mass Model derived by the ARW architecture) .This means that a forecast for a specific time step is calculated 12 times ranging from the first model run ( 168 hours in advance ) till the closer one ( 12 hours in advance ) which is stored in the archive.

This enhances the value of the archived data by a factor 2,5 because there are much more “potential solutions” for that parameter at the selected time step. 4,5 Years of archived data, with 12 different deterministic solutions for each value, are in point of fact similar to more than 10 years of continues data series. Numerical models cover the entire world and enable the production of weather forecast for any place on Earth, irrespective of whether a meteorological recording station exists or not.
Through the high spatial resolution, which calculates forecast for every 1- 3- 10 km, we produce local forecasts which include the effects of local climate, topography and soil cover.

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Datameteo WRF 1 Km Datameteo WRF 3 Km Datameteo Mulimodel 10 Km
Model Type EMM ed Ensemble
NEMS
NEMS
Area Domain Mediterranean
Europe
Usa, India, NZ
S America, Asia (Rest of the World 20 Km)
Forecast Lenght
Updates
168 h
2-4
168 h
2-4
144 h
2-4
Step
10 min, hourly 10 min, hourly 10 min, hourly
Parameters
Included
All the weather model output available All the weather model output available All the weather model output available
Output XML, CSV, API XML, CSV , API XML, CSV, API
Nowcast Active Active Active
MOS (Model Output Statistic) Option Active Active
Note Massive raw data extraction via latitude and longitude by API Massive raw data extraction via latitude and longitude by API Massive raw data extraction via latitude and longitude by API
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The Wave Model (Wave Watch 3)

wave model

Datameteo has implemented a global scale WWIII model. The global model is initialized daily and is forced with NOAA/NCEP's global forecast system (GFS) winds for the oceans area while for area along the coast and the Mediterrean the wind forcing is given by WRF high resolution weather model outputs.

This model is designed to capture the large scale ocean waves, provide spectral boundary conditions for the Mediterrean sea regional WWIII model, and most importantly, a 180 hour (7.5 days) forecast.In order to capture the shallow water effects and the nearshore coastal dynamics such as refracting, shoaling, and smaller scale shadowing, a high resolution SWAN model is utilized to provide a 7.5 day forecast.
The Simulating Waves Nearshore SWAN model has a resolution of 1, 5 Km while deeeper resolutions can be applied to provide more detailed forecast including the harbour profiiles..


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Datameteo WW3 Off Shore Datameteo WW3 Near Shore
Type WW3
open water navigation
WW3
last mile navigation
Modello Dissipazione Onde WAM WAM
Domain
SWAN (Simulating Waves Nearshore)
Mediterranean 1 Km
Oceans 25 Km
near shore
500 m or below
Forecast lenght
Updates
180 h
2-4
48 h
2-4
Step
hourly hourly
Parameters
Includes
Wind, Wave Height, Wave Lenght, Sea T
Peak Period, Peak Direction etc..
Vento, Wave Height, Wave Lenght, Sea T
Peak Period, Peak Direction etc..
Other parameters
optional
All the wave model output available All the wave model output available
Nowcast Option Option
MOS (Model Output Statistic) Option Option
Note Massive raw data extraction via latitude and longitude by API Massive raw data extraction via latitude and longitude by API
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ENS ( Ensemble ) Model and CFS (Coupled Forecasting System )

 ENS ( Ensemble ) Model and CFS

Ensemble forecasting is a numerical prediction method that generates a representative sample of the possible future states of the weather.
Multiple numerical predictions (model runs) are conducted using slightly different initial conditions that are all plausible given the past and current set of observations, or measurements.Ensemble forecasts are mainly applied to large-scale weather conditions for the forecast range of 3 to 14 days. Applications to local forecasting in high resolution are limited, due to the very high computing effort required.

For a long trend prediction the CFSv2 climate model is used. The CFSv2 is run once daily at NCEP, at multiple time scales. The medium-range model forecasts in one-week intervals out to four weeks, while the longer-range scale forecasts on three-month moving averages out approximately nine months. The shorter scale has some overlap with the Global Forecast System.


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Datameteo CFS
Type CFS V2
Area domain
Resolution
World
110Km
Trend lenght
Updates
384-1080 h on 6 h than monthly
2-4
Step
6 h
Parameters
Included
All the climate outputs
All the anomalies
Output XML, CSV, API
Model calibration Via Ensemble
Note Massive raw data extraction via latitude and longitude by API
Request us a quotation!