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 - Evaluate basic NWP output fields using satellite data and model output
Meteorologists rely on numerical weather prediction models when
preparing their forecasts. Forecasts always incorporate a certain
amount of uncertainty due to missing or inexact data at the model
initiation time. The degree of uncertainty increases generally with
increasing forecast length. There are many ways to assess this
uncertainty (e.g., ensemble models, model inter-comparision, comparing
different model runs, ...). In this module, we will compare model output
fields with satellite data, i.e., we compare the latest model runs with
timely coincident satellite observations. There might be only small
differences in the comparison between simulation and observation but
they can help the forecasters in assessing the quality of the model
output. This module presents some of the satellite data and products
that can be used for assessing the model output and shows application
examples.
Expected Learning Outcomes
After
finishing this module you will be able to use satellite data to verify
the accuracy of your latest model run for very specific applications
such as the position of frontal systems, the predicted onset of
convection, the expansion of low cloud cover and direction and intensity
of near surface winds.
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/103ef521-a89e-4f25-a1a5-96ebb64263f2
Author of resource: EUMeTrain
Copyright: CC BY-SA
Contact: info@eumetcal.eu
Added by Tomislav Marekovic on 27 May 2025 (last modified on 27 May 2025)