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Exploring the MetCoOp-Ensemble Prediction System data

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

12 Downloads

Updated 15 Apr 2021

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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

Cite As

E. Cheynet (2021). Exploring the MetCoOp-Ensemble Prediction System data (https://github.com/ECheynet/GMetCoOp/releases/tag/v1.03), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with R2016b and later releases
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.