Evaluating uncertainty in integrated environmental models: A review of concepts and tools

LS Matott, JE Babendreier… - Water Resources …, 2009 - Wiley Online Library
This paper reviews concepts for evaluating integrated environmental models and discusses
a list of relevant software‐based tools. A simplified taxonomy for sources of uncertainty and …

Automatic calibration tool for hydrologic simulation program-FORTRAN using a shuffled complex evolution algorithm

C Seong, Y Her, BL Benham - Water, 2015 - mdpi.com
Hydrologic Simulation Program-Fortran (HSPF) model calibration is typically done manually
due to the lack of an automated calibration tool as well as the difficulty of balancing objective …

Design of a component-based integrated environmental modeling framework

G Whelan, K Kim, MA Pelton, KJ Castleton… - … Modelling & Software, 2014 - Elsevier
Integrated environmental modeling (IEM) includes interdependent science-based
components that comprise an appropriate software modeling system and are responsible for …

Analytical solution of three-dimensional particle transport in porous media considering a dual deposition mode

S Tu, X Liu, H Cai, Z Yang - Advances in Water Resources, 2023 - Elsevier
Based on the classical one-dimensional particle transport model, a three-dimensional
particle transport model with a dual deposition mode considering sieving and adsorption …

Parameter estimation and predictive uncertainty in stochastic inverse modeling of groundwater flow: Comparing null‐space Monte Carlo and multiple starting point …

H Yoon, DB Hart, SA McKenna - Water Resources Research, 2013 - Wiley Online Library
Given a highly parameterized groundwater model in which the conceptual model of the
heterogeneity is stochastic, a set of inverse calibrations from multiple starting points (MSPs) …

Parallel inverse modeling and uncertainty quantification for computationally demanding groundwater-flow models using covariance matrix adaptation

AS Elshall, HV Pham, FTC Tsai, L Yan… - Journal of Hydrologic …, 2015 - ascelibrary.org
This study investigates the performance of the covariance matrix adaptation-evolution
strategy (CMA-ES), a stochastic optimization method, in solving groundwater inverse …

Comparative study of different types of hydrological models applied to hydrological simulation

H Gui, Z Wu, C Zhang - CLEAN–Soil, Air, Water, 2021 - Wiley Online Library
The hydrological model is one of the key methods in hydrological research and
management, which can be divided into physical model and mathematical model. In order to …

Cyber-enabled autocalibration of hydrologic models to support Open Science

A Rajib, IL Kim, MB Ercan, V Merwade, L Zhao… - … Modelling & Software, 2022 - Elsevier
Automatic calibration (autocalibration) of models is a standard practice in hydrologic
sciences. However, hydrologic modelers, while performing autocalibrations, spend …

Can Gauss‐Newton Algorithms Outperform Stochastic Optimization Algorithms When Calibrating a Highly Parameterized Hydrological Model? A Case Study Using …

Y Qin, D Kavetski, G Kuczera… - Water Resources …, 2022 - Wiley Online Library
The calibration of highly parameterized hydrological models is a major computational
challenge, especially for models with long run times. This challenge motivates the …

Optimizing soil hydraulic parameters in RZWQM2 under fallow conditions

QX Fang, TR Green, L Ma, RH Erskine… - Soil Science Society …, 2010 - Wiley Online Library
Robust estimation of soil hydraulic parameters is essential for predicting soil water dynamics
and related biogeochemical processes; however, uncertainties in estimated parameter …