Precipitation Estimation from Infrared Satellite Imagery

Title

Precipitation Estimation from Infrared Satellite Imagery

 Author

Brasjen, A.M.

Contributor

Meirink, J.F. (mentor)
Siebesma, A.P. (mentor)

Faculty

Civil Engineering and Geosciences

 Department

Geoscience and Remote Sensing

 Date

2014-08-27

 Abstract

Over the years, estimation of precipitation from geostationary satellite imagery has proved to be a useful addition to weather radar and rain gauge networks. Despite the fact that precipitation estimates from geostationary satellites are inherently indirect, a single satellite is able to monitor an area much larger than any weather radar network, and also covers the oceans. Nowadays, many algorithms estimating precipitation from satellite imagery exist. A lot of these algorithms utilize visible imagery, which is only available during daytime and therefore cannot provide a continuous dataset. Other algorithms use infrared satellite imagery, but are only able to estimate precipitation for deep convective clouds. In this research a new algorithm is proposed which is able to estimate precipitation rates both during daytime and nighttime for all types of clouds, solely from infrared satellite imagery.

 Subject

precipitation
infrared satellite imagery

 To reference this document use:

http://resolver.tudelft.nl/uuid:63c4dc53-fdd2-47db-a9ed-d1ddc19366e8

 Part of collection

Student theses

 Document type

master thesis

 Rights

(c) 2014 Brasjen, A.M.
Files
PDF Thesis.pdf 6.32 MB
Close viewer