The toolbox works by mashing ECV data into a Common Data Model.
Users operate on this model, then visualise the results.
Access and process ESA climate data through a command shell or console terminal. Use it to write your own batch scripts.
The Cate Desktop application provides a graphical user interface to the same functionality provided by the Command Line Interface.
The Python API allows you to use Cate in your own Python programs, and make up new functions for the toolbox too.
Cate Desktop, the CCI Toolbox graphical user interface, provides access to remote & local CCI data sources and a suite of operations to act on the data. This typically results in an in-memory means of holding the data, which we call a "resource". The desktop also provides a means to visualise the data under analysis.
Installers for Cate Desktop, the CCI
Toolbox' graphical user interface,
are available for the Windows, Linux & Mac operating systems:
Windows users get
cate-desktop-setup-<v>.exe
and double-click.
Mac users get
cate-desktop-<v>.dmg
and double-click.
Linux users get
cate-desktop-<v>.AppImage
and execute in a terminal window.
Details on the Cate system requirements, installation,
and configuration can be found
here.
Now, let's talk about documentation.
Our documentation is online. This includes a Quick Start to help you get going with the Command Line Interface. The User Manual chapter describes each of the user interfaces, plus details of the available Operations. You can add operations to the CCI Toolbox through the API. Other technical information includes CCI Toolbox Architecture, Developer Guide and Detailed Design. And we'll have more YouTube training videos for you soon.
Take a plunge into the CCI Toolbox and watch our tutorials.
This quick start video will introduce you to the fundamentals of using the CCI Toolbox.
Subscribe to our CCI Toolbox
news
and
we'll let you know when big things happen.
Read our Newsletter #1 [20.12.2017]
All ESA CCI datasets published through the
ESA CCI Open Data Portal
can be typically accessed by Cate's
Python API
and
Command Line Interface.
Note, that in Cate Desktop, the Graphical User Interface, some datasets do not have an obvious graphical representation, e.g. the display of datasets on a 2D map or 3D globe is naturally limited to the ones having a spatial coverage.
The CCI Toolbox gets its data directly from the
CCI Open Data Portal, so you don't have to.
But if you're curious, then do feel free to browse
the portal at cci.esa.int/data. It's free and open.
It provides WMS, WCS, and OpeNDAP access to ESA climate
data through our CCI
Dashboard
and CCI Search facilities.
If you prefer ftp however, we
have that too.
We also provide support on the data via email.
Please feel free posting any support and feature requests in the
User Forum and
consider reporting trouble and bugs in Cate's
Issue Tracker.
We'll then take it from there.
If you haven't yet, please consider to complete our short
Online Survey.
It doesn't take long.
We develop the CCI Toolbox by using Agile methodologies,
working side by side with users.
This enables us to
quickly respond to your needs. Let us know what you think
via the toolbox User
Forum or
drop us an
email at
climate.office@esa.int. We're listening.
The CCI Toolbox is built through international cooperation, across science and industry.
The project partners comprise
Brockmann Consult (Lead Partner),
Telespazio Vega,
S[&]T Norway,
Deutscher Wetterdienst,
University of Reading, and
University of Zurich.
These "Champion Users" - led by Rainer Hollman of Deutscher Wetterdienst (DWD) - define, drive
and validate the CCI Toolbox development direction. Here, Rainer talks about his work on the Cloud Essential
Climate Variable (ECV) dataset production in the Climate Change Initiative (CCI).
The ESA Climate Office is responsible for defining the CCI programme of work and
overseeing its implementation.
Here, Pascal Lecomte (Head of ESA Climate Office) describes how it all began.