<div class="csl-bib-body">
<div class="csl-entry">Bechtold, M., Modanesi, S., Lievens, H., Baguis, P., Brangers, I., Carrassi, A., Getirana, A., Gruber, A., Heyvaert, Z., Massari, C., Scherrer, S. A., Vannitsem, S., & De Lannoy, G. (2022, December 2). <i>Improving streamflow simulation by assimilating Sentinel-1 backscatter into a land surface model with river routing</i> [Conference Presentation]. Land-Surface Data Assimilation, Austria. http://hdl.handle.net/20.500.12708/152640</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/152640
-
dc.description.abstract
Accurate streamflow simulations rely on good estimates of the catchment-scale soil moisture distribution. Here, we evaluated the potential of Sentinel-1 backscatter data assimilation (DA) to improve soil moisture and streamflow estimates. Our DA system consisted of the Noah-MP land surface model coupled to the HyMAP river routing model and the water cloud model as backscatter observation operator. The DA system was set up at 0.01° resolution for two contrasting catchments in Belgium: i) the Demer catchment dominated by agriculture, and ii) the Ourthe catchment dominated by mixed forests. We present results of two experiments with a one-dimensional ensemble Kalman filter updating either soil moisture only or soil moisture and Leaf Area Index (LAI). The DA experiments covered the period January 2015 through August 2021 and were evaluated with independent rainfall error estimates based on station data, LAI from optical remote sensing, soil moisture retrievals from passive microwave observations, and streamflow measurements. Our results indicate that the assimilation of Sentinel-1 backscatter observations can correct surface soil moisture for rainfall errors and overall improve surface soil moisture estimates. However, updating soil moisture and LAI simultaneously did not bring any benefit over updating soil moisture only. Our results further indicate that streamflow estimates can be improved through Sentinel-1 DA in a catchment with strong soil moisture-runoff coupling, as observed for the Ourthe catchment, suggesting that there is potential for Sentinel-1 DA even for forested catchments.
en
dc.language.iso
en
-
dc.subject
streamflow simulation
en
dc.subject
Sentinel-1
en
dc.title
Improving streamflow simulation by assimilating Sentinel-1 backscatter into a land surface model with river routing
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.contributor.affiliation
KU Leuven
-
dc.contributor.affiliation
National Research Council, Italy
-
dc.contributor.affiliation
Ghent University, Belgium
-
dc.contributor.affiliation
Royal Meteorological Institute of Belgium
-
dc.contributor.affiliation
KU Leuven
-
dc.contributor.affiliation
University of Reading; University of Bologna; University of Reading
-
dc.contributor.affiliation
KU Leuven
-
dc.contributor.affiliation
KU Leuven, Heverlee, Belgium
-
dc.type.category
Conference Presentation
-
tuw.publication.invited
invited
-
tuw.researchTopic.id
E4
-
tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung
-
tuw.author.orcid
0000-0002-8042-9792
-
tuw.author.orcid
0000-0003-4720-5233
-
tuw.author.orcid
0000-0002-5916-753X
-
tuw.author.orcid
0000-0003-0722-5600
-
tuw.author.orcid
0000-0001-9635-7220
-
tuw.author.orcid
0000-0002-9748-1124
-
tuw.author.orcid
0000-0002-1734-1042
-
tuw.event.name
Land-Surface Data Assimilation
-
tuw.event.startdate
02-12-2022
-
tuw.event.enddate
02-12-2022
-
tuw.event.online
Online
-
tuw.event.type
Event for scientific audience
-
tuw.event.country
AT
-
tuw.event.institution
International Symposium on Data Assimilation (ISDA)
-
tuw.event.presenter
Bechtold, Michel
-
tuw.presentation.online
Online
-
wb.sciencebranch
Geodäsie, Vermessungswesen
-
wb.sciencebranch
Informatik
-
wb.sciencebranch
Physische Geographie
-
wb.sciencebranch.oefos
2074
-
wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1054
-
wb.sciencebranch.value
70
-
wb.sciencebranch.value
15
-
wb.sciencebranch.value
15
-
item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cp
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
-
item.openairetype
conference paper not in proceedings
-
crisitem.author.dept
KU Leuven
-
crisitem.author.dept
National Research Council
-
crisitem.author.dept
Ghent University, Belgium
-
crisitem.author.dept
Royal Meteorological Institute of Belgium, Belgium
-
crisitem.author.dept
KU Leuven, Belgium
-
crisitem.author.dept
University of Reading
-
crisitem.author.dept
Science Applications International Corporation, USA
-
crisitem.author.dept
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung
-
crisitem.author.dept
KU Leuven, Belgium
-
crisitem.author.dept
Research Institute for Geo-Hydrological Protection
-
crisitem.author.dept
E120-08 - Forschungsbereich Klima- und Umweltfernerkundung
-
crisitem.author.dept
Royal Meteorological Institute of Belgium, Belgium