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ecco_access update to steric height tutorial
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Intro_to_PO_Tutorials/Steric_height.ipynb

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"- **ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
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"- **ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4** (Jan 2000)\n",
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"\n",
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"To download these datasets to your local machine, you can use the [ecco_download.py](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/ecco_access/ecco_download.py) module. See the [previous tutorial](https://ecco-v4-python-tutorial.readthedocs.io/Geostrophic_balance.html#Download-the-ECCO-output) or the [ECCO download](https://ecco-v4-python-tutorial.readthedocs.io/Downloading_ECCO_Datasets_from_PODAAC_Python.html) for more info on how to use this module. If you are working on an AWS instance, just set `incloud_access = True` in the 2nd cell below and the datasets will be downloaded or opened remotely using the `ecco_s3_retrieve.py` module."
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"To download these datasets to your local machine or open them within the AWS Cloud, this notebook uses [ecco_access](https://ecco-v4-python-tutorials.readthedocs.io/ECCO_access_intro.html). If you are working on an AWS instance, just set `incloud_access = True` in the 2nd cell below to access the data within the AWS Cloud (rather than via the internet)."
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"source": [
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"### Sea surface height file\n",
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"\n",
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"To look at the impact of steric height variations, we will also be looking at the actual sea surface height field from ECCOv4. To compare steric height with sea surface height, we of course need to download and retrieve sea surface height output. You can do this by importing the **ecco_download** module and calling the function *ecco_podaac_download* (see the Geostrophic Balance tutorial for an example). Consulting the [variable list](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/varlist/v4r4_nctiles_monthly_varlist.txt) for monthly mean output, we find that the datasets containing sea surface height have ShortName ```ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4```. To start, download the granule of that dataset corresponding to January 2000 (2000-01). Once you have this file downloaded, view its structure using the code below."
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"To look at the impact of steric height variations, we will also be looking at the actual sea surface height field from ECCOv4. Consulting the [variable list](https://raw.githubusercontent.com/ECCO-GROUP/ECCO-v4-Python-Tutorial/master/varlist/v4r4_nctiles_monthly_varlist.txt) for monthly mean output, we find that the datasets containing sea surface height have ShortName ```ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4```. To start, we access the granule of that dataset corresponding to January 2000 (2000-01)."
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