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T8.5_Satellite_SST_Validation_UniB/README.md

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@@ -34,7 +34,7 @@ We also consider the impacts of upgrading the NEMO code base to that developed i
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## Purpose of tutorial
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<div style="text-align: justify">
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The objective of this exercise is to use satellite Sea Surface Temperature (SST) data (<a href="https://data.marine.copernicus.eu/product/SST_MED_SST_L4_NRT_OBSERVATIONS_010_004">SST_MED_SST_L4_NRT_OBSERVATIONS_010_004</a> product) to perform the validation of the high-resolution nested model implemented in the Galicia coastal area (NW of Spain). The simulation started on 7 November 2002 at 00:00 and ran until 17 November 2002 at 24:00. This tutorial consists of one jupyter notebooks (to be found in ./UniB/satsst_validation/satsst_valid.ipynb) which will:
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The objective of this exercise is to use satellite Sea Surface Temperature (SST) data (<a href="https://data.marine.copernicus.eu/product/SST_MED_SST_L4_NRT_OBSERVATIONS_010_004">SST_MED_SST_L4_NRT_OBSERVATIONS_010_004</a> product) to perform the validation of the high-resolution nested model implemented in the Galicia coastal area (NW of Spain). The simulation started on 7 November 2002 at 00:00 and ran until 17 November 2002 at 24:00. This tutorial consists of one jupyter notebooks (to be found in Downstream-Users-Toolbox/T8.5_Satellite_SST_Validation_UniB/satsst_valid.ipynb) which will:
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<ul>
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<li>download and extract SST data from zenodo repository</li>
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<li>read model and satellite SST data</li>
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</code>
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If some packages are missing you can install them into the current environment using the "conda install" command type the following:
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<code>
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conda install PACKAGES-LIST
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conda install numpy xarray matplotlib cartopy python-wget scipy
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</code>
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</div>
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</li>
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<li>
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Clone the repository in your local system and navigate to UniB folder
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<code>
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git clone https://github.com/immerse-project/Downstream-Users-Toolbox.git
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cd Downstream-Users-Toolbox/UniB/satsst_validation
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cd Downstream-Users-Toolbox/T8.5_Satellite_SST_Validation_UniB/
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</code>
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</li>
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<li>
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</li>
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</ol>
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</div>
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</div>

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