About: Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling

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rdf:type	Item
description	article (en) հոդված (hy) wetenschappelijk artikel (nl) наукова стаття, опублікована в лютому 2009 (uk) im Februar 2009 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58213812-B7A3C365-2D49-448B-AF59-B8E038FE899F
publication date	2009-02-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q58213812-27DB2863-8266-445D-9F0A-063BA9CDDC34 wds:Q58213812-5E9A76C9-8EA3-4C09-84C1-7CCD39C47956 wds:Q58213812-6047A92D-0926-4BFE-ADDF-948B12D8B695 wds:Q58213812-73236012-BE0C-41A3-9608-C11B6D2120AA wds:Q58213812-84A2C40D-03F8-4918-A3E0-149465EA46C0 wds:Q58213812-B0C590C2-5BEA-4C8E-BD72-B7471B8F6ABD wds:Q58213812-C21C2E82-6C92-43C5-8632-DF12FF64FF92
cites work	Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information Stochastic parameter estimation procedures for hydrologie rainfall-runoff models: Correlated and heteroscedastic error cases Rainfall characteristics define the value of streamflow observations for distributed watershed model identification Advancing the identification and evaluation of distributed rainfall-runoff models using global sensitivity analysis A spatial regularization approach to parameter estimation for a distributed watershed model Understanding uncertainty in distributed flash flood forecasting for semiarid regions Characterization of watershed model behavior across a hydroclimatic gradient
author name string	wds:Q58213812-0F1FB290-FDD2-4261-A235-1D5FFCF64341 wds:Q58213812-DF57B085-EE4A-4D1E-BB2B-1333D0A017C9
author name string	Yong Tang Kathryn van Werkhoven
rdfs:label	Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (en) Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (nl)
skos:prefLabel	Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (en) Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (nl)
name	Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (en) Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (nl)
author	wds:Q58213812-03984DA5-79DB-4125-8D00-485C62E91D75 wds:Q58213812-A3E1DDDD-3F01-49B7-B3E2-89C45D31C4FD
author	Thorsten Wagener Patrick Reed
title	wds:Q58213812-3746C983-70CA-43A3-BEC6-0441A8CE9EA5
title	Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling (en)
instance of	wds:Q58213812-4CB633E3-DED6-451F-A76E-E894BE3A4E3B
instance of	scholarly article
main subject	wds:Q58213812-244BF2F6-D1A1-4E7F-8251-17FACEBAB887 wds:Q58213812-87209E71-43A5-416C-90C7-A86E8017129A
main subject	drainage basin information content
published in	wds:Q58213812-108BAC5C-E46F-4FF3-8FA9-76CE62AA78C5
published in	Water Resources Research
issue	wds:Q58213812-A853BC76-5336-4055-8EBC-4C97899E63DB
volume	wds:Q58213812-AB8C6514-D200-48B3-9B3B-F3DA94C11D8C
issue	2
volume	45
DOI	wds:Q58213812-A02C8CF1-3563-4855-8EC2-A5E59846380E
DOI	http://dx.doi.org/10.1029/2008WR007347
DOI	10.1029/2008WR007347
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58213812
is cites work of	A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range. Temporal dynamics of model parameter sensitivity for computationally expensive models with the Fourier amplitude sensitivity test Lumped parameter sensitivity analysis of a distributed hydrological model within tropical and temperate catchments On the use of spatial regularization strategies to improve calibration of distributed watershed models Sensitivity and Interaction Analysis Based on Sobol’ Method and Its Application in a Distributed Flood Forecasting Model Characterizing and reducing equifinality by constraining a distributed catchment model with regional signatures, local observations, and process understanding How do hydrologic modeling decisions affect the portrayal of climate change impacts? Comparison of Stationary and Dynamic Conceptual Models in a Mountainous and Data-Sparse Catchment in the South-Central Chilean Andes Modification of the National Weather Service Distributed Hydrologic Model for subsurface water exchanges between grids
is cites work of	wds:Q48109400-26BB8E97-0A3A-4783-8BAC-B9A7CD2DBF7C wds:Q61734347-249992BD-0D21-4985-88C1-7027EB635381 wds:Q57536135-44CD2F3C-0090-4B7F-B565-CF22A52FD06D wds:Q59102706-9CC3059A-B52E-4F85-B6CC-5095A293C68D wds:Q59814467-8AAC77B2-5E6A-4280-A033-D10EA78C92EF wds:Q58256923-D0F470F5-5C26-423B-979D-9A12934C0E06 wds:Q58057781-FAF573B7-F473-4AA8-97A5-7515319D848E wds:Q57866518-BB925890-54A4-4B08-87F1-1386232489EA wds:Q58393355-05C6E04E-BCC9-4338-9097-256C84FE1173

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