Exploring the MetCoOp-Ensemble Prediction System data

versión 1.03 (1.82 MB) por E. Cheynet
Automated and remote data extraction of MetCoOp-Ensemble Prediction System data

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Actualizada 15 Apr 2021

De GitHub

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Exploring the MetCoOp-Ensemble Prediction System data

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Summary

The data from MEPS (MetCoOp-Ensemble Prediction System) [1] are extracted from the THREDDS Data Server of the Norwegian Meteorological Institute [2]. The data source is made of netcdf files. The OPeNDAP framework is used to read the data without downloading them. The data are resampled as gridded data.

Content

The repository contains:

An example file Documentation.mlx as a Matlab live script The function MET3P.m, which read and extract the data remotely and resample them as gridded data

This is the first version of the submission. Several bugs may be present. Future versions will improve the example file.

References

[1] https://www.met.no/en/projects/metcoop

[2] https://thredds.met.no

Example 1 (Storam Aina in Scandinavia)

The fitting of the extended SEIR model to real data provides the following results:

stormAina

Example 2 (Temperature Map)

The fitting of the extended SEIR model to real data provides the following results:

Temperature map during storm Aina

Example 3 (Animation of storm Aina. from 1 am to 3 pm on 08-12-2017)

nice gif

Citar como

E. Cheynet (2022). Exploring the MetCoOp-Ensemble Prediction System data (https://github.com/ECheynet/GMetCoOp/releases/tag/v1.03), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020b
Compatible con la versión R2016b y siguientes
Compatibilidad con las plataformas
Windows macOS Linux

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Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o informar de algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.