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Getting your money's worth: Testing the value of data for hydrological model calibration


Seibert, Jan; Clerc‐Schwarzenbach, Franziska M; van Meerveld, H J (2024). Getting your money's worth: Testing the value of data for hydrological model calibration. Hydrological Processes, 38(2):e15094.

Abstract

Despite the big data era, observational data continue to be a limiting factor in the environmental sciences. To collect the most informative field data, studies on the value of data are essential. This article describes a model‐based approach to assess the value of data. While we discuss the approach for hydrological model calibration, the approach is applicable across the environmental sciences. The overall goal is to provide guidance on optimal data collection strategies, that is, what to measure, where, and when.

Abstract

Despite the big data era, observational data continue to be a limiting factor in the environmental sciences. To collect the most informative field data, studies on the value of data are essential. This article describes a model‐based approach to assess the value of data. While we discuss the approach for hydrological model calibration, the approach is applicable across the environmental sciences. The overall goal is to provide guidance on optimal data collection strategies, that is, what to measure, where, and when.

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2 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Water Science and Technology
Uncontrolled Keywords:Water Science and Technology
Language:English
Date:7 February 2024
Deposited On:18 Mar 2024 16:18
Last Modified:30 Jun 2024 03:39
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0885-6087
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1002/hyp.15094
Project Information:
  • : FunderSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
  • : Grant ID
  • : Project Title
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)