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 - Cloud types and their characterstics
In this part of the course you will not only learn more about the 
identification of clouds such as Stratus, Cumulus and Cirrus from 
satellite images, and you will also discover various methods to derive 
cloud height information. Microphysical properties of clouds like cloud 
phase and cloud particle size are also addressed.
Expected Learning Outcomes
At the end of this module students should be able to identify and locate the following:
- High and mid-level cumuliform and stratiform clouds.
 
- Low clouds like fog and stratus.
 
- Ship trails and contrails.
 
- How to assign cloud top height.
 
- How to identify and make use of cloud phase and cloud particle size information.
 
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/f1bd04f3-0180-445f-b5b7-87956867b2bc
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)