elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

The life cycle of anvil cirrus clouds from a combination of passive and active satellite remote sensing

Strandgren, Johan (2018) The life cycle of anvil cirrus clouds from a combination of passive and active satellite remote sensing. Dissertation, DLR, Institut für Physik der Atmosphäre und LMU München.

[img] PDF
15MB

Official URL: https://edoc.ub.uni-muenchen.de/22789/

Abstract

In this thesis the temporal evolution of the anvil cirrus properties throughout their life cycle is investigated, as is their relationship with the meteorological conditions. For a comprehensive retrieval of the anvil cirrus properties, a new algorithm for the remote sensing of cirrus clouds called CiPS (Cirrus Properties from SEVIRI) is developed. Utilising a set of artificial neural networks, CiPS combines the large spatial coverage and high temporal resolution of the imaging radiometer SEVIRI aboard the geostationary satellites Meteosat Second Generation, with the high vertical resolution and sensitivity to thin cirrus clouds of the lidar CALIOP aboard the polar orbiting satellite CALIPSO. In comparison to CALIOP, CiPS detects 71 % and 95 % of all cirrus clouds with an ice optical thickness (IOT) of 0.1 and 1.0 respectively. Furthermore, CiPS retrieves the corresponding cloud top height, IOT, ice water path (IWP) and, by parameterisation, effective ice crystal radius. This way, macrophysical, microphysical and optical properties can be combined to interpret the temporal evolution of the anvil cirrus clouds

Item URL in elib:https://elib.dlr.de/123519/
Document Type:Thesis (Dissertation)
Title:The life cycle of anvil cirrus clouds from a combination of passive and active satellite remote sensing
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Strandgren, JohanDLR, IPAhttps://orcid.org/0000-0001-7876-5845
Date:2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:148
Status:Published
Keywords:satellite remote sensing, cirrus clouds, anvil cirrus, life cycle, neural networks
Institution:DLR, Institut für Physik der Atmosphäre und LMU München
Department:Atmosphärische Spurenstoffe
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Remote Sensing
Deposited By: Strandgren, Johan
Deposited On:21 Nov 2018 12:35
Last Modified:31 Jul 2019 20:21

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.