Basic Satellite Course: Identify and interpret atmospheric phenomena 

Description

Description

Basic Satellite Course Introduction
The course aims to give an overview on the basics of satellite meteorology: image analysis i.e. the interpretation of patterns in satellite images that are related to various meteorological phenomena. During the course you will read, watch and answer questions about various surface features like vegetated ares, urban areas, difference between sea and land, you will identify cloud types and analyze their characteristics and you will learn to interpret atmospheric phenomena, like for example: dust storms, smoke and fires from satellite data.

The course is asynchronous, which means that you can take it at your own pace as all the lectures are pre-prepared. Quizzes are made for youto check your level of understanding.

This Module Atmospheric Phenomena

This module teaches you how to use satellite data to observe and analyse atmospheric phenomena. It will show you which products can be used to identify dust storms, smoke, fires, precipitation, etc.

Expected Learning Outcomes

At the end of this module students should be able to identify and locate the following:

  • Dust and sand storms and plumes and areas of raised dust.
  • Fires and smoke.
  • Moisture features, precipitation types and amounts.
  • Volcanic ash particulates, Sulfur Dioxide (SO2) and other chemical emissions.
  • Aerosol and particulate pollution.
  • Features indicating regions of clear air turbulence.

Target Audience

The primary audience for the training are forecasters in shifts who have access to different satellite (and model) products, though limited time or knowledge because of their schedule and the lack of training. Secondary audience are any other meteorologists and geoscientists that are working with satellite data in training, research, etc.

WMO Competency Framework:
Satellite Skills and Knowledge for Operational Meteorologists

Format:
Online lesson/guide

Language:
English

Link to resource: https://eumetcal.eu/en/ui#/catalog/course/ff1e8528-4a7a-4da0-a394-bbacabcdb42f
Author of resource: EUMeTrain
Copyright: 
CC BY-SA
Contact: info@eumetcal.eu

Added by Tomislav Marekovic
on 5 Nov 2024 (last modified on 14 Nov 2024)