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
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