GHRSST specified/formatted products: Which SST products in GHRSST specification are the most suitable for me?
This training was held as in-person training on 20 October 2023, at the GHRSST24 symposium, in Ahmedabad. The training material is now available for those who would like to learn at their own pace. All the modules have been recorded and the materials are accessiblein the Moodle.
Read the instructions below on how to access the training contents.
GHRSST coordinates an extensive catalogue of Sea Surface Temperature (SST) produced by many data producers, each with its advantages and caveats. For a potential user, with a given application in mind, this landscape can be confusing and intimidating, often resulting in reaching for the most convenient product, irrespective of its suitability.
This course aims to connect users to the catalogue more appropriately, outlining the ramifications for selecting level-4 gridded products of a given type (e.g. IR, microwave, blended) and therefore allowing them to make better-informed choices for their applications. It will consider practical examples of a broad range of applications from the meso- to global scale, from event-based to climate variability. The course will provide a basic introduction to L2, L3 and L4 fields as many potential users have very little knowledge about these, and need guidance to decide what they need for their studies and many are unaware of the consequences of their choices.
How to benefit from this training?
Self-enrol for this training on Moodle: https://training.eumetsat.int/course/view.php?id=490§ion=11
On this page, you will find the modules of the training, with the relevant materials and the recordings made available by the trainers.
Specific objectives of the training
Increase knowledge on GHRSST coordinated products for SST users.
Target audience and level of experience
Newcomers (e.g., undergraduates, stakeholders such as small-scale fishers, environmental managers, and early career scientists) who are interested in learning how to use satellite-derived SST data. Participants should have minimum familiarity with Python.
Please read the following information before attending the training. You should ensure that you bring the right equipment and prepare a few things before get the most out of the training. The training will be hands-on and in-person.
There will be hands-on exercises throughout the training, therefore, you must work on your computer during the training.
What to do before the training
Please ensure that you have the following installed on your computer:
- Jupyter Framework: Project Jupyter | Home
Please register and set-up an account for the following:
- Create an WEkEO account: Copernicus and Sentinel data at your fingertips | WEkEO
- Register to Copernicus Marine Service (Register to Copernicus Marine Service | CMEMS). You should have your username and password.
- Set-up a Gmail Account if you don’t already have one
In-depth introduction to GHRSST specified/formatted products.
All the presentations are in Moodle. All the videos are on the YouTube playlist.
|Intro to GHRSST. What are the GHRSST-specified products? Introduction to L2, L3 and L4 fields.
|GPO (Jacob L. Høyer)
|What are the SST factors to consider for applications? Criteria for selecting products, and how to use them?
Prompt questions that help refine the most suitable product (e.g. based on resolution, coverage, and applications) formatted products to support their further development.
|Overall introduction on tools and services that can help in data set selection: visualization, data extraction for multiple data sets.
How to use the GHRSST Central catalogue: Exploring the catalogue https://www.ghrsst.org/ghrsst-data-services/ghrsst-catalogue/
How to provide feedback to GHRSST-specified products?
|Demonstration of tools and services:
|Demonstration of the GMPE tool (https://www.ghrsst.org/latest-sst-map / and https://ghrsst-pp.metoffice.gov.uk/ostia-website/gmpe-monitoring.html )
|Demonstration on Copernicus Marine SST products and services
|Image processing exercises (e.g. with SNAP & SeaDAS) to get trainees to the data and help them quickly apply this to their own analysis
|“Just plot” exercise: Trainees will be asked to pick a region, zoom in and compare, to see weaknesses, resolutions etc
|How to use the “ARMS” ACSPO tool to show different products to new SST users:
|Working with GHRSST data from the NASA Earthdata Cloud and beyond.
|Wrap-up: GHRSST plans for further capacity-building activities in 2024
|GPO (Chiara Bearzotti)