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fixed some links
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‎Tutorials_as_Jupyter_Notebooks/ECCO_v4_Example_MHT.ipynb‎

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"- **ECCO_L4_GEOMETRY_LLC0090GRID_V4R4**\n",
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"- **ECCO_L4_OCEAN_3D_TEMPERATURE_FLUX_LLC0090GRID_MONTHLY_V4R4** (1992-2017)\n",
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"\n",
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"If you haven't yet been through the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) or used the [ecco_download module](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module), it may help you to review that information before downloading the datasets."
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"If you haven't yet been through the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) or used the [ecco_download module](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module:-the-quick-and-easy-method), it may help you to review that information before downloading the datasets."
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‎Tutorials_as_Jupyter_Notebooks/ECCO_v4_Example_OSNAP.ipynb‎

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"- **ECCO_L4_OCEAN_3D_VOLUME_FLUX_LLC0090GRID_MONTHLY_V4R4** (1992-2017)\n",
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"- **ECCO_L4_OCEAN_3D_TEMPERATURE_FLUX_LLC0090GRID_MONTHLY_V4R4** (1992-2017)\n",
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"\n",
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"If you need to download ECCO output and haven't yet been through the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) or used the [ecco_download module](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module), it may help you to review that information before downloading the datasets."
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"If you need to download ECCO output and haven't yet been through the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) or used the [ecco_download module](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module:-the-quick-and-easy-method), it may help you to review that information before downloading the datasets."
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‎Tutorials_as_Jupyter_Notebooks/ECCO_v4_Heat_budget_closure.ipynb‎

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"- **ECCO_L4_SSH_LLC0090GRID_SNAPSHOT_V4R4** (1993/1/1-2017/1/1, 1st of each month)\n",
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"- **ECCO_L4_TEMP_SALINITY_LLC0090GRID_SNAPSHOT_V4R4** (1993/1/1-2017/1/1, 1st of each month)\n",
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"\n",
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"If you haven't yet been through the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) or used the [ecco_download module](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module), it may help you to review that information before downloading the datasets. If you are downloading the snapshots, you may also find the [snaps_monthly_textlist](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_v4_Salt_and_salinity_budget.html#Load-monthly-snapshots) function helpful; it generates a file list of only the snapshot files for the 1st of each month, which you can then download using `wget`."
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"If you haven't yet been through the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) or used the [ecco_download module](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module:-the-quick-and-easy-method), it may help you to review that information before downloading the datasets. If you are downloading the snapshots, you may also find the [snaps_monthly_textlist](https://ecco-v4-python-tutorial.readthedocs.io/ECCO_v4_Salt_and_salinity_budget.html#Load-monthly-snapshots) function helpful; it generates a file list of only the snapshot files for the 1st of each month, which you can then download using `wget`."
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‎Tutorials_as_Jupyter_Notebooks/ECCO_v4_Loading_the_ECCOv4_native_model_grid_parameters.ipynb‎

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"The ECCOv4 model grid parameters are provided as a single NetCDF file. It can be downloaded using the `ecco_podaac_download` function as described in the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module). The ShortName for the dataset is **ECCO_L4_GEOMETRY_LLC0090GRID_V4R4**. The grid parameters file has no time dimension, but `ecco_podaac_download` requires a StartDate and EndDate to be specified; any date in the range 1992-2017 can be used."
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"The ECCOv4 model grid parameters are provided as a single NetCDF file. It can be downloaded using the `ecco_podaac_download` function as described in the [download tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module:-the-quick-and-easy-method). The ShortName for the dataset is **ECCO_L4_GEOMETRY_LLC0090GRID_V4R4**. The grid parameters file has no time dimension, but `ecco_podaac_download` requires a StartDate and EndDate to be specified; any date in the range 1992-2017 can be used."
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‎Tutorials_as_Jupyter_Notebooks/ECCO_v4_Loading_the_ECCOv4_state_estimate_fields_on_the_native_model_grid.ipynb‎

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"ECCOv4 native-grid state estimate fields are packaged together as NetCDF files. The ECCOv4 release 4 output files are available from PO.DAAC Cloud via NASA Earthdata, see [this tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more information on access. If you already have a NASA Earthdata account, you can download and use the [ecco_download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module) module to access ECCOv4r4 datasets, specifying the dataset [ShortName](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#Dataset-ShortNames-and-variables-associated-with-them) you want to download.\n",
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"ECCOv4 native-grid state estimate fields are packaged together as NetCDF files. The ECCOv4 release 4 output files are available from PO.DAAC Cloud via NASA Earthdata, see [this tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more information on access. If you already have a NASA Earthdata account, you can download and use the [ecco_download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#ECCO_download-module:-the-quick-and-easy-method) module to access ECCOv4r4 datasets, specifying the dataset [ShortName](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html#Dataset-ShortNames-and-variables-associated-with-them) you want to download.\n",
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"For this tutorial, you will need to have downloaded the grid file used in the previous tutorial. You will also need to have downloaded the monthly mean SSH, OBP, and temperature/salinity datasets from 2010-2012. The ShortNames for these datasets are **ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4**, **ECCO_L4_OBP_LLC0090GRID_MONTHLY_V4R4**, and **ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4**.\n",
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