Detection of hidden model errors by combining single and multi-criteria calibration
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Detection of hidden model errors by combining single and multi-criteria calibration
Authors
Keywords
Multi-criteria, Model assessment, Uncertainty, Hydrology, Biogeochemistry
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 777, Issue -, Pages 146218
Publisher
Elsevier BV
Online
2021-03-06
DOI
10.1016/j.scitotenv.2021.146218
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On the Robustness of Conceptual Rainfall‐Runoff Models to Calibration and Evaluation Data Set Splits Selection: A Large Sample Investigation
- (2020) Danlu Guo et al. WATER RESOURCES RESEARCH
- High-Resolution, In Situ Monitoring of Stable Isotopes of Water Revealed Insight into Hydrological Response Behavior
- (2020) Amir Sahraei et al. Water
- Global CO2 emissions from dry inland waters share common drivers across ecosystems
- (2020) P. S. Keller et al. Nature Communications
- Calibration and quantifying uncertainty of daily water quality forecasts for large lakes with a Bayesian joint probability modelling approach
- (2020) Zhaoliang Peng et al. WATER RESEARCH
- Automatic Model Structure Identification for Conceptual Hydrologic Models
- (2020) Diana Spieler et al. WATER RESOURCES RESEARCH
- Livestock enclosures in drylands of Sub-Saharan Africa are overlooked hotspots of N2O emissions
- (2020) Klaus Butterbach-Bahl et al. Nature Communications
- Towards dynamic and process–based modelling of radionuclides cycling in terrestrial radioecology
- (2020) Talal Almahayni et al. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
- A novel dynamic multi-criteria ensemble selection mechanism applied to drinking water quality anomaly detection
- (2020) Victor Henrique Alves Ribeiro et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Storm event impacts on in-stream nitrate concentration and discharge dynamics: A comparison of high resolution in-situ measured data with model simulations
- (2020) Bano Mehdi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Towards a methodology for testing models as hypotheses in the inexact sciences
- (2019) Keith Beven PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Response of maize biomass and soil water fluxes on elevated CO 2 and drought—From field experiments to process‐based simulations
- (2019) Juliane Kellner et al. GLOBAL CHANGE BIOLOGY
- Uncertainty analysis in a large-scale water quality integrated catchment modelling study
- (2019) Antonio M. Moreno-Rodenas et al. WATER RESEARCH
- Equifinality and Flux Mapping: a new approach to model evaluation and process representation under uncertainty
- (2019) Sina Khatami et al. WATER RESOURCES RESEARCH
- Trade-offs between parameter constraints and model realism: a case study
- (2019) Florian U. Jehn et al. Scientific Reports
- Effects of Input Data Content on the Uncertainty of Simulating Water Resources
- (2018) Carla Camargos et al. Water
- Multi-Source Uncertainty Analysis in Simulating Floodplain Inundation under Climate Change
- (2018) Nadine Maier et al. Water
- Recent insights on uncertainties present in integrated catchment water quality modelling
- (2018) Franz Tscheikner-Gratl et al. WATER RESEARCH
- Rejecting hydro-biogeochemical model structures by multi-criteria evaluation
- (2017) T. Houska et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Fine-scale temporal characterization of trends in soil water dissolved organic carbon and potential drivers
- (2016) K. Sawicka et al. ECOLOGICAL INDICATORS
- Comparing molecular composition of dissolved organic matter in soil and stream water: Influence of land use and chemical characteristics
- (2016) Anne-Gret Seifert et al. SCIENCE OF THE TOTAL ENVIRONMENT
- New Seasonal Shift in In-Stream Diurnal Nitrate Cycles Identified by Mining High-Frequency Data
- (2016) Alice H. Aubert et al. PLoS One
- Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall–runoff model calibration
- (2015) Mahyar Shafii et al. JOURNAL OF HYDROLOGY
- SPOTting Model Parameters Using a Ready-Made Python Package
- (2015) Tobias Houska et al. PLoS One
- A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems
- (2014) David Kraus et al. PLANT AND SOIL
- Process consistency in models: The importance of system signatures, expert knowledge, and process complexity
- (2014) M. Hrachowitz et al. WATER RESOURCES RESEARCH
- Linking Spatial Patterns of Groundwater Table Dynamics and Streamflow Generation Processes in a Small Developed Catchment
- (2014) Natalie Orlowski et al. Water
- Nitrous oxide emissions from soils: how well do we understand the processes and their controls?
- (2013) K. Butterbach-Bahl et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Characterising performance of environmental models
- (2012) Neil D. Bennett et al. ENVIRONMENTAL MODELLING & SOFTWARE
- LandscapeDNDC: a process model for simulation of biosphere–atmosphere–hydrosphere exchange processes at site and regional scale
- (2012) Edwin Haas et al. LANDSCAPE ECOLOGY
- CMF: A Hydrological Programming Language Extension For Integrated Catchment Models
- (2011) Philipp Kraft et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Quantification of nitrate leaching from German forest ecosystems by use of a process oriented biogeochemical model
- (2011) Ralf Kiese et al. ENVIRONMENTAL POLLUTION
- Uncertainty-based calibration and prediction with a stormwater surface accumulation-washoff model based on coverage of sampled Zn, Cu, Pb and Cd field data
- (2011) E. Lindblom et al. WATER RESEARCH
- One decade of multi-objective calibration approaches in hydrological modelling: a review
- (2010) Andreas Efstratiadis et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Multi-criteria evaluation of wastewater treatment plant control strategies under uncertainty
- (2008) Xavier Flores-Alsina et al. WATER RESEARCH
- Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models
- (2008) Martyn P. Clark et al. WATER RESOURCES RESEARCH
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started