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ECCO Version 4 Python Tutorial

4.4

Getting Started

The ECCO Ocean and Sea-Ice State Estimate
ECCO v4 state estimate ocean, sea-ice, and atmosphere fields
Python and Python Packages
The ecco_access library
Using wget to Download ECCO Datasets from PO.DAAC
AWS Cloud: getting started and retrieving ECCO datasets
Tutorial Overview

ECCO Data Structures

The Dataset and DataArray objects used in the ECCOv4 Python package.
Coordinates and Dimensions of ECCOv4 NetCDF files

Input/Output, Data Structure Manipulation

Loading the ECCOv4 native model grid parameters
Loading the ECCOv4 state estimate fields on the native model grid
ECCOv4 Loading llc binary files in the ‘compact’ format
Combining multiple Datasets
Saving Datasets and DataArrays to NetCDF

Operating on Data Variables

Accessing and Subsetting Variables
Operating on Numpy arrays
Memory management in Python

Plotting & Interpolation

Plotting Tiles
Interpolating fields from the model llc grid to a regular lat lon grid

Scalar and Vector Calculations

Example calculations with scalar quantities
Calculating gradients and curl on the ECCO native grid

Intro to PO Tutorials

Intro to PO Tutorials: Getting Started
Part 1: Geostrophic balance
Part 2: Thermal Wind
Part 3a: Steric height
Part 3b: Steric height from SSH and OBP

More Advanced Calculations

Compute meridional heat transport
Compute MOC along the approximate OSNAP array from ECCO
ECCOv4 Global Volume and Sea Level Budget
Global Heat Budget Closure
Salt, Salinity and Freshwater Budgets
Calculate ocean thermal forcing from ECCOv4r4 data, direct from PO.DAAC S3 storage

Support

Getting Help

ECCO Version 4 Python Tutorial

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Index

Index

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