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try again to get the interpolating fields to latlon field tutorial to have a title
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Tutorials_as_Jupyter_Notebooks/ECCO_v4_Interpolating_Fields_to_LatLon_Grid.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Interpolating from the model grid to lat-lon"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Interpolating fields from the model llc grid to lat-lon\n",
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"\n",
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"## Objectives\n",
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"\n",

Tutorials_as_Jupyter_Notebooks/ECCO_v4_Loading_LLC_compact_binary_files.ipynb

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"source": [
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"# ECCOv4 Loading llc binary files in the 'compact' format\n",
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"\n",
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"This section demonstrates loading ECCO binary files written in the so-called llc 'compact' format. Compact binary files have a non-intuitive layout of the 13 lat-lon-cap tiles required by the MITgcm. This tutorial demonstrates using the 'read_llc_to_tiles' routine to read and re-organize the llc compact binary files into a more familiar 13-tile layout."
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"## Objective\n",
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"\n",
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"To teach how to loading ECCO binary files written by the MITgcm in the llc 'compact' format. \n",
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"\n",
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"## Introduciton\n",
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"\n",
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"When the MITgcm saves diagnostic and other fields to files it does so using the so-called 'compact' format. The compact format distributes the arrays from the 13 lat-lon-cap tiles in a somewhat unintuitive manner. Fortunately, it is not difficult to extract the 13 tiles from 'compact' format files. This tutorial will show you how to use the 'read_llc_to_tiles' subroutine to read and re-organize MITgcm's files written in compact format into a more familiar 13-tile layout."
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{

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