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[click here](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/Examples/Dec2017.ipynb) to view Example 5.
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[click here](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%205/TMIN.png) to view the graphic created in Example 5.
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[click here](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%205/TMIN.png) to view the graphic created in Example 5.
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6) **Winter 2024-2025 Sea-Level Pressure Analysis Northern Hemispheric View**
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In this example we will create 5 graphics showing the following:
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i) Mean Sea-Level Pressure for the period
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ii) EOF1 (1st Principle Component/1st Empirical Orthogonal Function) for the period
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iii) EOF2 (2nd Principle Component/2nd Empirical Orthogonal Function) for the period
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iv) EOF1 Scores for the period
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v) EOF2 Scores for the period
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[click here](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/Examples/Winter_2024_2025_Analysis_NH.ipynb) to view Example 6.
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Example 6 Graphics:
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1) [Mean Sea Level Pressure](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%206/MEAN%20SEA%20LEVEL%20PRESSURE%20%5BhPa%5D.png)
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2) [EOF1 Sea Level Pressure](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%206/EOF1%20SEA%20LEVEL%20PRESSURE.png)
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3) [EOF2 Sea Level Pressure](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%206/EOF2%20SEA%20LEVEL%20PRESSURE.png)
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4) [EOF1 Scores](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%206/EOF1%20Scores.png)
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5) [EOF2 Scores](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%206/EOF2%20Scores.png)
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7) **Plotting the Monthly Normal Maximum Vapor Pressure Deficit for July using a Custom Reference System and Importing a Locally Hosted GeoJSON File**
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In this example we will plot the monthly normal for the maximum vapor pressure Deficit for July and use a custom reference system and give it a name for the image.
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We will also import a locally hosted GeoJSON file that has the geometry for the Southern California Edison (SCE) service area and overlay the SCE service area with counties.
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This data is from PRISM Climate Group.
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[click here](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/Examples/July_prism_normals.ipynb) to view Example 7.
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[click here](https://github.com/edrewitz/PyClimo-Jupyter-Lab-Examples/blob/main/graphics/Example%207/VPDMAX.png) to view the graphic created in Example 7.
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# Documentation
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