Article
Water Resources
Roja K. Garna, Daniel R. Fuka, Joshua W. Faulkner, Amy S. Collick, Zachary M. Easton
Summary: This study focuses on three watersheds in the Lake Champlain Basin of Vermont, USA, and proposes a new calibration technique called simultaneous multi-basin calibration (MBC) to estimate model parameters in low data environments. By aggregating observed flows from multiple initializations, a combined streamflow record of sufficient length is generated for parameter calibration. The results demonstrate improved model performance and more realistic parameter values, providing important insights for watershed management.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
L. Chen, W. Z. Wang, G. Y. Wei, K. Wang, H. B. Liu, L. M. Zhai, Z. Y. Shen
Summary: A universal calibration platform based on advanced genetic algorithms was constructed for watershed models, and successfully tested in two real cases studies using HSPF and SWMM models. The results showed good model calibrations for both models, indicating its effectiveness and robustness for model calibration in various watershed models and catchments.
JOURNAL OF ENVIRONMENTAL INFORMATICS
(2021)
Article
Thermodynamics
Hansol Shin, Cheol-Soo Park
Summary: Parameter estimation methods can be classified into manual, numerical optimization, Bayesian inference, and machine learning. Bayesian calibration is widely used but can be biased by prior distribution, imperfect likelihood function, and computation time for posterior distribution approximation. This paper presents a new approach using GRcGAN to estimate uncertain parameters.
BUILDING SIMULATION
(2023)
Article
Engineering, Electrical & Electronic
Jonas Gedschold, Sebastian Semper, Reiner S. Thomae, Michael Doebereiner, Giovanni Del Galdo
Summary: This publication proposes a parametric data model and a gradient-based maximum likelihood estimator for delay-dispersive responses of multiple dynamic UWB-radar targets. The target responses are estimated jointly with the global target parameters range and velocity. An efficient description and estimation of the extended response is proposed by a FIR structure imposing a restriction on the target's dispersiveness in range.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Automation & Control Systems
Konstantinos Gatsis, Hamed Hassani, George J. Pappas
Summary: This article introduces a new abstraction between communication and control, characterized by a tradeoff curve between latency, reliability, and rate. By examining the tradeoffs between latency and reliability for estimating dynamical systems over communication channels, and utilizing different latency-reliability curves, a cross-layer design methodology is developed to optimize system performance.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Geosciences, Multidisciplinary
Maruti K. K. Mudunuru, Kyongho Son, Peishi Jiang, Glenn Hammond, Xingyuan Chen
Summary: This study presents a deep learning-based inverse model for calibrating the SWAT model and validates it on the American River Watershed. The results show that the proposed method is more accurate than traditional parameter estimation methods.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Engineering, Civil
Juliane Mai
Summary: Model calibration is the process of finding model settings that produce model outputs that closely match observed data. This is especially important for environmental models where parameters cannot be directly measured. This study provides a step-by-step guide for model calibration, including techniques for sensitivity analysis, handling constrained parameters, selecting appropriate data and objective functions, and evaluating calibration success. The strategies outlined in this study aim to help both experienced and novice modelers succeed in calibrating environmental models.
JOURNAL OF HYDROLOGY
(2023)
Article
Transportation Science & Technology
Alex Cunillera, Nikola Besinovic, Niels van Oort, Rob M. P. Goverde
Summary: This article discusses the online calibration problem in train motion modeling, with a specific focus on energy-efficient on-board applications. By using a real-time parameter estimation algorithm and a post-processing module, the speed and location measurements of trains can be accurately tracked, and the parameters that model the running resistance can be estimated.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Water Resources
Hongli Liu, Bryan A. Tolson, Andrew J. Newman, Andrew W. Wood
Summary: This study examines the potential of using a forcing ensemble to identify robust parameters through model calibration, comparing ensemble forcing-based calibration with deterministic forcing-based calibration. Results show that ensemble calibration generates less biased parameter estimates and improves the overall reliability and simulation skill of ensemble simulation results by reducing the risk of inaccurate flow simulation caused by poor-quality meteorological inputs.
HYDROLOGICAL PROCESSES
(2021)
Article
Computer Science, Interdisciplinary Applications
Mirac Eryigit
Summary: This study aimed to improve the optimization model for groundwater flow modeling under more difficult conditions, successfully estimating groundwater flow parameters and demonstrating good performance.
JOURNAL OF HYDROINFORMATICS
(2021)
Article
Astronomy & Astrophysics
Junaid Yousuf, Shivaraj Kandhasamy, Manzoor A. Malik
Summary: Gravitational-wave backgrounds are expected to arise from a large number of unresolved sources and stochastic processes in the early Universe. Although we haven't detected any background yet, future improvements in detector sensitivity should make detection possible. The detection and analysis of the background will depend on the source model, search methods, and data generation in the detectors.
Article
Engineering, Electrical & Electronic
Dayong Yu
Summary: This paper proposes a new kinematic calibration method to improve the pose accuracy of parallel robots. The method includes a new pose error model with 60 error parameters and a different kinematic parameter error identification algorithm based on L-infinity parameter estimation. Simulation and experimental results demonstrate the effectiveness of the proposed method.
Article
Geochemistry & Geophysics
Xuebin Chen, Chunmao Ye, Chunzhu Dong, Yong Wang, Qingrong Hu
Summary: This letter presents a novel parameter estimation algorithm for precession targets with intermittent observation. The algorithm utilizes the correlation method of echo signal's envelope to estimate the coning frequency and self-spinning frequency, and adopts phase unwrapping and range history reconstruction for effective estimation of precession parameter.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Hongyu Wei, Tao Zhang, Liang Zhang
Summary: The integrated navigation of visual and inertial measurement is a research hotpot, with analytical solution-based algorithms improving real-time performance but sacrificing accuracy, while iterative algorithms achieve high accuracy but at the cost of running time. The proposed method in this study provides a fast initial parameter estimation method for improving both real-time performance and accuracy.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Environmental Sciences
Nicholas J. Elmer, James McCreight, Christopher Hain
Summary: The study assesses the utility of SWOT for model parameter selection in regions without in situ gauge networks, concluding that multi-point parameter selection is more robust than single-point selection and can yield reliable results nearly independent of observation frequency.
WATER RESOURCES RESEARCH
(2021)
Article
Water Resources
Salini Sasidharan, Scott A. Bradford, Jiri Simunek, Bill DeJong, Stephen R. Kraemer
ADVANCES IN WATER RESOURCES
(2018)
Article
Ecology
John M. Johnston, Daniel J. McGarvey, M. Craig Barber, Gerry Laniak, Justin Babendreier, Rajbir Parmar, Kurt Wolfe, Stephen R. Kraemer, Michael Cyterski, Chris Knightes, Brenda Rashleigh, Luis Suarez, Robert Ambrose
ECOLOGICAL MODELLING
(2011)
Article
Water Resources
Katie Price, S. Thomas Purucker, Stephen R. Kraemer, Justin E. Babendreier, Chris D. Knightes
HYDROLOGICAL PROCESSES
(2014)
Article
Green & Sustainable Science & Technology
Jens T. Birkholzer, Jean Philippe Nicot, Curtis M. Oldenburg, Quanlin Zhou, Stephen Kraemer, Karl Bandilla
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2011)
Article
Green & Sustainable Science & Technology
Karl W. Bandilla, Stephen R. Kraemer, Jens T. Birkholzer
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2012)
Letter
Green & Sustainable Science & Technology
Jens T. Birkholzer, Jean Philippe Nicot, Curtis M. Oldenburg, Quanlin Zhou, Stephen Kraemer, Karl Bandilla
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2013)
Article
Environmental Sciences
Abdullah Cihan, Quanlin Zhou, Jens T. Birkholzer, Stephen R. Kraemer
WATER RESOURCES RESEARCH
(2014)
Article
Engineering, Civil
Salini Sasidharan, Scott A. Bradford, Jiri Simunek, Stephen R. Kraemer
JOURNAL OF HYDROLOGY
(2019)
Article
Engineering, Civil
Salini Sasidharan, Scott A. Bradford, Jiri Simunek, Stephen R. Kraemer
JOURNAL OF HYDROLOGY
(2020)
Article
Engineering, Environmental
Salini Sasidharan, Scott A. Bradford, Jiri Simunek, Stephen R. Kraemer
Summary: This study systematically investigated virus fate in drywells under various removal scenarios and subsurface heterogeneity. It was found that the general assumption of a 1.5-12 meter separation distance may not be adequate to protect water quality in some instances, emphasizing the need for site-specific microbial risk assessment.
Article
Engineering, Civil
Salini Sasidharan, Scott A. Bradford, Jiri Simunek, Stephen R. Kraemer
Summary: The study compared the performance of infiltration basins and drywells under constant head conditions, finding that drywells can achieve higher infiltration and recharge volumes. Infiltration basins can reduce the depth of water percolation, while drywells can penetrate tight clay layers and facilitate rapid infiltration and recharge.
JOURNAL OF HYDROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Stephen R. Kraemer
Summary: Physics-based groundwater flow modeling is a useful tool for designing and optimizing pump-and-treat systems for groundwater cleanup. Different methods for assigning boundary conditions to the numerical models were demonstrated in a case study in Torrance, California. The study showed the importance of accurately choosing the appropriate boundary conditions to obtain meaningful results.
Article
Geosciences, Multidisciplinary
Stephen R. Kraemer