RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Constraining Conceptual Hydrological ModelsWith Multiple Information Sources
SMHI, Forskningsavdelningen, Hydrologi.ORCID-id: 0000-0002-3416-317X
SMHI, Forskningsavdelningen, Hydrologi.
Vise andre og tillknytning
2018 (engelsk)Inngår i: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 54, nr 10, s. 8332-8362Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The calibration of hydrological models without streamflow observations is problematic, and the simultaneous, combined use of remotely sensed products for this purpose has not been exhaustively tested thus far. Our hypothesis is that the combined use of products can (1) reduce the parameter search space and (2) improve the representation of internal model dynamics and hydrological signatures. Five different conceptual hydrological models were applied to 27 catchments across Europe. A parameter selection process, similar to a likelihood weighting procedure, was applied for 1,023 possible combinations of 10 different data sources, ranging from using 1 to all 10 of these products. Distances between the two empirical distributions of model performance metrics with and without using a specific product were determined to assess the added value of a specific product. In a similar way, the performance of the models to reproduce 27 hydrological signatures was evaluated relative to the unconstrained model. Significant reductions in the parameter space were obtained when combinations included Advanced Microwave Scanning Radiometer ‐ Earth Observing System and Advanced Scatterometer soil moisture, Gravity Recovery and Climate Experiment total water storage anomalies, and, in snow‐dominated catchments, the Moderate Resolution Imaging Spectroradiometer snow cover products. The evaporation products of Land Surface Analysis ‐ Satellite Application Facility and MOD16 were less effective for deriving meaningful, well‐constrained posterior parameter distributions. The hydrological signature analysis indicated that most models profited from constraining with an increasing number of data sources. Concluding, constraining models with multiple data sources simultaneously was shown to be valuable for at least four of the five hydrological models to determine model parameters in absence of streamflow.

sted, utgiver, år, opplag, sider
John Wiley & Sons, 2018. Vol. 54, nr 10, s. 8332-8362
HSV kategori
Forskningsprogram
Hydrologi
Identifikatorer
URN: urn:nbn:se:smhi:diva-5011DOI: 10.1029/2017WR021895OAI: oai:DiVA.org:smhi-5011DiVA, id: diva2:1265727
Tilgjengelig fra: 2018-11-26 Laget: 2018-11-26 Sist oppdatert: 2018-11-26bibliografisk kontrollert

Open Access i DiVA

fulltext(195 kB)18 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 195 kBChecksum SHA-512
fc47f5d10bcb4a0c7a6dbd4281f5017ab843cd2c7f6a81e23f1b1c7f6e9820d01a3dae2693d13168baec750d653dadacd71d7f1e2f56edff6e8b4559e4768d03
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Personposter BETA

Pechlivanidis, IliasCapell, RéneGustafsson, DavidArheimer, Berit

Søk i DiVA

Av forfatter/redaktør
Pechlivanidis, IliasCapell, RéneGustafsson, DavidArheimer, Berit
Av organisasjonen
I samme tidsskrift
Water resources research

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 18 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 116 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.7
|