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

Time Series Processing and Analysis of Terrestrial Daily Snow Cover Datasets to Describe Status and Development of Global Snow Cover

Dietz, Andreas (2017) Time Series Processing and Analysis of Terrestrial Daily Snow Cover Datasets to Describe Status and Development of Global Snow Cover. In: 8th EARSeL workshop on Land Ice and Snow. 8th EARSeL workshop on Land Ice and Snow, 07.-09.Feb. 2017, Bern, Schweiz.

Full text not available from this repository.

Abstract

Global snow cover is an important environmental parameter, as is influences hydrology, vegetation, radiation balance, and the living space of humans and animals. Snow is an essential source for freshwater in many regions of the world and at the same time, snow cover depends on precipitation and temperature during the snow season. As climate and weather varies, also the amount as well as the onset, duration, and offset of snow cover changes throughout the years. It is important to analyze this variability in order to identify possible trends, but also to predict the impact of the snow cover situation on local freshwater availability, floods, or the influences on vegetation. Snow cover information derived from medium resolution remote sensing data such as AVHRR, MODIS, and now Sentinel 3 can help to understand and analyze both the current situation as well as possible long term tendencies of global snow cover. Such data is available on a daily basis which is essential as the snow cover extent can change rapidly during snow fall or snow melt events induced by sudden temperature increase. Data gaps caused by cloud cover or polar darkness can cause uncertainties, which make a processing of the time series necessary in order to estimate the snow cover status within these gaps. The Global SnowPack has been developed at DLR to overcome the problem of data gaps, provide information of global snow cover statistics through DLRs Geoservice, and to support analyzing the connections between snow cover and hydrological, climatological, and all the other aspects mentioned already above. The presentation will outline the processing and validation steps, the different products, and the availability of the data in DLRs Geoservice. Examples for possible applications will be given, and an outlook on future activities and developments will also be included.

Item URL in elib:https://elib.dlr.de/111094/
Document Type:Conference or Workshop Item (Speech)
Title:Time Series Processing and Analysis of Terrestrial Daily Snow Cover Datasets to Describe Status and Development of Global Snow Cover
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Dietz, Andreasandreas.dietz (at) dlr.deUNSPECIFIED
Date:February 2017
Journal or Publication Title:8th EARSeL workshop on Land Ice and Snow
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:snow cover, Global SnowPack, AVHRR, MODIS, Sentinel 3, Geoservice
Event Title:8th EARSeL workshop on Land Ice and Snow
Event Location:Bern, Schweiz
Event Type:international Conference
Event Dates:07.-09.Feb. 2017
Organizer:Universität Bern
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 Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Dietz, Andreas
Deposited On:15 Feb 2017 09:50
Last Modified:15 Feb 2017 09:50

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.