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Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: Theory, concepts and applications

https://doi.org/10.1016/j.advwatres.2012.04.002
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0470011815.b2a14021openalex-snapshot
M arkov Chain M onte C arlo
inferredcites →https://doi.org/10.1002/0471667196.ess1594openalex-snapshot
Measures of Information
inferredcites →https://doi.org/10.1002/0471781819.ch4openalex-snapshot
Parameter Estimation Methods
inferredcites →https://doi.org/10.1002/9781118665671.ch14openalex-snapshot
Multicriteria Calibration of Hydrologic Models
inferredcites →https://doi.org/10.1002/hyp.1135openalex-snapshot
Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
inferredcites →https://doi.org/10.1002/hyp.3360060305openalex-snapshot
The future of distributed models: Model calibration and uncertainty prediction
inferredcites →https://doi.org/10.1002/hyp.6294openalex-snapshot
Towards dynamic catchment modelling: a Bayesian hierarchical mixtures of experts framework
inferredcites →https://doi.org/10.1002/wrcr.20068openalex-snapshot
Hypothetico‐inductive data‐based mechanistic modeling of hydrological systems
inferredcites →https://doi.org/10.1007/978-1-4757-3437-9openalex-snapshot
Sequential Monte Carlo Methods in Practice
inferredcites →https://doi.org/10.1007/978-1-4757-3437-9_13openalex-snapshot
Auxiliary Variable Based Particle Filters
inferredcites →https://doi.org/10.1007/978-1-4757-3437-9_2openalex-snapshot
Particle Filters — A Theoretical Perspective
inferredcites →https://doi.org/10.1007/bf02428423openalex-snapshot
A bivariate meta-Gaussian density for use in hydrology
inferredcites →https://doi.org/10.1007/bf02530508openalex-snapshot
Parameter estimation in general state-space models using particle methods
inferredcites →https://doi.org/10.1007/s00477-008-0274-yopenalex-snapshot
Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
inferredcites →https://doi.org/10.1007/s11222-008-9104-9openalex-snapshot
Differential Evolution Markov Chain with snooker updater and fewer chains
inferredcites →https://doi.org/10.1016/0005-1098(70)90010-5openalex-snapshot
Monte Carlo techniques for prediction and filtering of non-linear stochastic processes
inferredcites →https://doi.org/10.1016/0022-1694(85)90167-2openalex-snapshot
The relationship between data and the precision of parameter estimates of hydrologic models
inferredcites →https://doi.org/10.1016/0022-1694(95)02918-4openalex-snapshot
Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data
inferredcites →https://doi.org/10.1016/j.advwatres.2004.09.002openalex-snapshot
Dual state–parameter estimation of hydrological models using ensemble Kalman filter
inferredcites →https://doi.org/10.1016/j.advwatres.2007.06.004openalex-snapshot
What drives high flow events in the Swiss Alps? Recent developments in wavelet spectral analysis and their application to hydrology
inferredcites →https://doi.org/10.1016/j.cageo.2005.10.015openalex-snapshot
Application of parallel computing to stochastic parameter estimation in environmental models
inferredcites →https://doi.org/10.1016/j.jhydrol.2003.12.006openalex-snapshot
A groundwater-based, objective-heuristic parameter optimisation method for a precipitation-runoff model and its application to a semi-arid basin
inferredcites →https://doi.org/10.1016/j.jhydrol.2004.03.037openalex-snapshot
Towards the characterization of streamflow simulation uncertainty through multimodel ensembles
inferredcites →https://doi.org/10.1016/j.jhydrol.2004.03.042openalex-snapshot
An evaluation of the impact of model structure on hydrological modelling uncertainty for streamflow simulation
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.07.007openalex-snapshot
A manifesto for the equifinality thesis
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.07.012openalex-snapshot
Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts
inferredcites →https://doi.org/10.1016/j.jhydrol.2005.10.041openalex-snapshot
Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model
inferredcites →https://doi.org/10.1016/j.jhydrol.2006.05.010openalex-snapshot
Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
inferredcites →https://doi.org/10.1016/j.jhydrol.2009.07.051openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0022-1694(00)00279-1openalex-snapshot
Automatic calibration of a conceptual rainfall–runoff model using multiple objectives
inferredcites →https://doi.org/10.1016/s0022-1694(01)00421-8openalex-snapshot
Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
inferredcites →https://doi.org/10.1016/s0022-1694(97)00107-8openalex-snapshot
Multi-objective global optimization for hydrologic models
inferredcites →https://doi.org/10.1016/s0022-1694(98)00198-xopenalex-snapshot
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inferredcites →https://doi.org/10.1017/cbo9780511617652.004openalex-snapshot
Predictability – a problem partly solved
inferredcites →https://doi.org/10.1017/s0305004100036227openalex-snapshot
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inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
inferredcites →https://doi.org/10.1023/a:1008935410038openalex-snapshot
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inferredcites →https://doi.org/10.1029/2000wr900207openalex-snapshot
Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
inferredcites →https://doi.org/10.1029/2000wr900363openalex-snapshot
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inferredcites →https://doi.org/10.1029/2000wr900405openalex-snapshot
Bayesian recursive parameter estimation for hydrologic models
inferredcites →https://doi.org/10.1029/2001wr001118openalex-snapshot
Toward improved identifiability of hydrologic model parameters: The information content of experimental data
inferredcites →https://doi.org/10.1029/2002wr001642openalex-snapshot
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inferredcites →https://doi.org/10.1029/2002wr001746openalex-snapshot
Effective and efficient algorithm for multiobjective optimization of hydrologic models
inferredcites →https://doi.org/10.1029/2003wr002013openalex-snapshot
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inferredcites →https://doi.org/10.1029/2003wr002122openalex-snapshot
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inferredcites →https://doi.org/10.1029/2003wr002540openalex-snapshot
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inferredcites →https://doi.org/10.1029/2004wr003041openalex-snapshot
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inferredcites →https://doi.org/10.1029/2004wr003059openalex-snapshot
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inferredcites →https://doi.org/10.1029/2004wr003604openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005gl025604openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004093openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004368openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004376openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004661openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004723openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004745openalex-snapshot
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inferredcites →https://doi.org/10.1029/2005wr004838openalex-snapshot
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inferredcites →https://doi.org/10.1029/2006wr005072openalex-snapshot
Development of a possibilistic method for the evaluation of predictive uncertainty in rainfall‐runoff modeling
inferredcites →https://doi.org/10.1029/2006wr005098openalex-snapshot
A comparison of alternative multiobjective calibration strategies for hydrological modeling
inferredcites →https://doi.org/10.1029/2006wr005184openalex-snapshot
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inferredcites →https://doi.org/10.1029/2007wr005866openalex-snapshot
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inferredcites →https://doi.org/10.1029/2007wr006720openalex-snapshot
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inferredcites →https://doi.org/10.1029/2007wr006726openalex-snapshot
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inferredcites →https://doi.org/10.1029/2007wr006735openalex-snapshot
Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models
inferredcites →https://doi.org/10.1029/2008wr006839openalex-snapshot
A novel method to estimate model uncertainty using machine learning techniques
inferredcites →https://doi.org/10.1029/2008wr006897openalex-snapshot
Estimating the uncertainty of hydrological forecasts: A statistical approach
inferredcites →https://doi.org/10.1029/2009wr007814openalex-snapshot
Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time‐dependent parameters
inferredcites →https://doi.org/10.1029/2009wr008648openalex-snapshot
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inferredcites →https://doi.org/10.1029/2009wr008896openalex-snapshot
Ancient numerical daemons of conceptual hydrological modeling: 2. Impact of time stepping schemes on model analysis and prediction
inferredcites →https://doi.org/10.1029/2009wr008933openalex-snapshot
A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors
inferredcites →https://doi.org/10.1029/2009wr008985openalex-snapshot
A limited‐memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models
inferredcites →https://doi.org/10.1029/2010wr009614openalex-snapshot
Correcting the mathematical structure of a hydrological model via Bayesian data assimilation
inferredcites →https://doi.org/10.1029/2010wr010173openalex-snapshot
Predictive uncertainty of chaotic daily streamflow using ensemble wavelet networks approach
inferredcites →https://doi.org/10.1029/2010wr010292openalex-snapshot
Multivariate calibration of a water and energy balance model in the spectral domain
inferredcites →https://doi.org/10.1029/2011wr010643openalex-snapshot
Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation
inferredcites →https://doi.org/10.1029/2011wr011011openalex-snapshot
Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting
inferredcites →https://doi.org/10.1029/2011wr011607openalex-snapshot
Bayesian model averaging using particle filtering and Gaussian mixture modeling: Theory, concepts, and simulation experiments
inferredcites →https://doi.org/10.1029/91wr01305openalex-snapshot
The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall‐Runoff Models
inferredcites →https://doi.org/10.1029/91wr02985openalex-snapshot
Effective and efficient global optimization for conceptual rainfall‐runoff models
inferredcites →https://doi.org/10.1029/94jc00572openalex-snapshot
Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics
inferredcites →https://doi.org/10.1029/95wr03723openalex-snapshot
Bayesian Estimation of Uncertainty in Runoff Prediction and the Value of Data: An Application of the GLUE Approach
inferredcites →https://doi.org/10.1029/97wr03495openalex-snapshot
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information
inferredcites →https://doi.org/10.1029/wr006i006p01737openalex-snapshot
Simulation and Evaluation of Complex Water Systems Operations
inferredcites →https://doi.org/10.1029/wr016i002p00430openalex-snapshot
Stochastic parameter estimation procedures for hydrologie rainfall‐runoff models: Correlated and heteroscedastic error cases
inferredcites →https://doi.org/10.1029/wr018i001p00146openalex-snapshot
On the relationship between the reliability of parameter estimates and hydrologic time series data used in calibration
inferredcites →https://doi.org/10.1029/wr019i001p00251openalex-snapshot
Evaluation of Maximum Likelihood Parameter estimation techniques for conceptual rainfall‐runoff models: Influence of calibration data variability and length on model credibility
inferredcites →https://doi.org/10.1029/wr019i005p01151openalex-snapshot
Improved parameter inference in catchment models: 1. Evaluating parameter uncertainty
inferredcites →https://doi.org/10.1049/ip-rsn:19990255openalex-snapshot
Improved particle filter for nonlinearproblems
inferredcites →https://doi.org/10.1061/(asce)0733-9496(1994)120:4(485)openalex-snapshot
Flow‐Duration Curves. I: New Interpretation and Confidence Intervals
inferredcites →https://doi.org/10.1063/1.1699114openalex-snapshot
Equation of State Calculations by Fast Computing Machines
inferredcites →https://doi.org/10.1063/1.1741967openalex-snapshot
Monte Carlo Calculation of the Average Extension of Molecular Chains
inferredcites →https://doi.org/10.1073/pnas.0610471104openalex-snapshot
Improved evolutionary optimization from genetically adaptive multimethod search
inferredcites →https://doi.org/10.1080/00031305.1992.10475856openalex-snapshot
Bayesian Statistics without Tears: A Sampling-Resampling Perspective
inferredcites →https://doi.org/10.1080/01621459.1990.10476213openalex-snapshot
Sampling-Based Approaches to Calculating Marginal Densities
inferredcites →https://doi.org/10.1080/01621459.1997.10473661openalex-snapshot
Dynamic Conditional Independence Models and Markov Chain Monte Carlo Methods
inferredcites →https://doi.org/10.1080/01621459.1999.10474153openalex-snapshot
Filtering via Simulation: Auxiliary Particle Filters
inferredcites →https://doi.org/10.1080/02626668509490989openalex-snapshot
The probability-distributed principle and runoff production at point and basin scales
inferredcites →https://doi.org/10.1080/10618600.1996.10474692openalex-snapshot
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models
inferredcites →https://doi.org/10.1080/10618600.1998.10474772openalex-snapshot
Estimating Mixture of Dirichlet Process Models
inferredcites →https://doi.org/10.1093/acprof:oso/9780199641178.003.0003openalex-snapshot
Linear state space models
inferredcites →https://doi.org/10.1093/bioinformatics/bti319openalex-snapshot
Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data
inferredcites →https://doi.org/10.1093/biomet/57.1.97openalex-snapshot
Monte Carlo sampling methods using Markov chains and their applications
inferredcites →https://doi.org/10.1098/rsta.2002.1008openalex-snapshot
Advances in real–time flood forecasting
inferredcites →https://doi.org/10.1109/78.984773openalex-snapshot
A survey of convergence results on particle filtering methods for practitioners
inferredcites →https://doi.org/10.1109/tevc.2008.924428openalex-snapshot
Self-Adaptive Multimethod Search for Global Optimization in Real-Parameter Spaces
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1111/1467-9868.00280openalex-snapshot
Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models
inferredcites →https://doi.org/10.1111/j.1467-9868.2006.00553.xopenalex-snapshot
Sequential Monte Carlo Samplers
inferredcites →https://doi.org/10.1111/j.1467-9868.2009.00736.xopenalex-snapshot
Particle Markov Chain Monte Carlo Methods
inferredcites →https://doi.org/10.1111/j.2517-6161.1954.tb00145.xopenalex-snapshot
Poor Man’s Monte Carlo
inferredcites →https://doi.org/10.1111/j.2517-6161.1964.tb00553.xopenalex-snapshot
An Analysis of Transformations
inferredcites →https://doi.org/10.1115/1.3662552openalex-snapshot
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1175/1520-0469(1963)020<0130:dnf>2.0.co;2openalex-snapshot
Deterministic Nonperiodic Flow
inferredcites →https://doi.org/10.1175/1520-0469(1994)051<1037:adaisn>2.0.co;2openalex-snapshot
Advanced Data Assimilation in Strongly Nonlinear Dynamical Systems
inferredcites →https://doi.org/10.1175/1520-0469(1998)055<0399:osfswo>2.0.co;2openalex-snapshot
Optimal Sites for Supplementary Weather Observations: Simulation with a Small Model
inferredcites →https://doi.org/10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2openalex-snapshot
A Practical Guide to Wavelet Analysis
inferredcites →https://doi.org/10.1175/1520-0493(2000)128<1852:aeksfn>2.0.co;2openalex-snapshot
An Ensemble Kalman Smoother for Nonlinear Dynamics
inferredcites →https://doi.org/10.1175/jhm504.1openalex-snapshot
Real-Time Data Assimilation for Operational Ensemble Streamflow Forecasting
inferredcites →https://doi.org/10.1175/jhm505.1openalex-snapshot
Snow Data Assimilation via an Ensemble Kalman Filter
inferredcites →https://doi.org/10.1214/193940307000000518openalex-snapshot
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems
inferredcites →https://doi.org/10.1214/ss/1015346320openalex-snapshot
Optimal scaling for various Metropolis-Hastings algorithms
inferredcites →https://doi.org/10.1214/ss/1028905934openalex-snapshot
Simulating normalizing constants: from importance sampling to bridge sampling to path sampling
inferredcites →https://doi.org/10.1214/ss/1177011136openalex-snapshot
Inference from Iterative Simulation Using Multiple Sequences
inferredcites →https://doi.org/10.1515/ijnsns.2009.10.3.273openalex-snapshot
Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
inferredcites →https://doi.org/10.2307/2669847openalex-snapshot
Sequential Monte Carlo Methods for Dynamic Systems
inferredcites →https://doi.org/10.3133/wsp1542aopenalex-snapshot
Flow-duration curves
inferredcites →https://doi.org/10.3182/20090706-3-fr-2004.00129openalex-snapshot
An Overview of Sequential Monte Carlo Methods for Parameter Estimation in General State-Space Models
inferredcites →https://doi.org/10.5194/hess-11-483-2007openalex-snapshot
The PDM rainfall-runoff model
inferredcites →https://doi.org/10.5194/hess-4-215-2000openalex-snapshot
Multi-criteria calibration of a conceptual runoff model using a genetic algorithm

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inferred← citeshttps://doi.org/10.2139/ssrn.4671142openalex-extracted
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inferred← citeshttps://doi.org/10.1002/2013wr014583openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2014jd022895openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2014wr016460openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2014wr016667openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2014wr016718openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2015wr017192openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2015wr018425openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/2016wr020144openalex-snapshot
Development of a copula‐based particle filter ( C op PF ) approach for hydrologic data assimilation under consideration of parameter interdependence
inferred← citeshttps://doi.org/10.1002/2017wr022135openalex-snapshot
Uncertainty Quantification of Medium‐Term Heat Storage From Short‐Term Geophysical Experiments Using Bayesian Evidential Learning
inferred← citeshttps://doi.org/10.1002/asmb.2262openalex-snapshot
A marginal contribution coefficient for sequences of nonstationary continuous Markov chains
inferred← citeshttps://doi.org/10.1002/hyp.9677openalex-snapshot
Response of hydrology to climate change in the southern Appalachian Mountains using Bayesian inference
inferred← citeshttps://doi.org/10.1002/wrcr.20169openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/wrcr.20291openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/wrcr.20354openalex-snapshot
Toward diagnostic model calibration and evaluation: Approximate Bayesian computation
inferred← citeshttps://doi.org/10.1007/978-3-030-47845-2_16openalex-snapshot
Bayesian Estimation of State-Space Models and Particle MCMC
inferred← citeshttps://doi.org/10.1007/978-3-031-84736-3_18openalex-snapshot
The 2019–2020 Rise of the Lake’s Water Level
inferred← citeshttps://doi.org/10.1007/978-3-319-19066-2_37openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-39925-1_25openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-39925-1_33openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-40457-3_25-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-40457-3_33-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-40457-3_33-2openalex-snapshot
Assimilation of Streamflow Observations
inferred← citeshttps://doi.org/10.1007/978-94-017-8789-5_8openalex-snapshot
Closing the Gaps in Our Knowledge of the Hydrological Cycle over Land: Conceptual Problems
inferred← citeshttps://doi.org/10.1007/978-981-10-2663-8_40openalex-snapshot
Equipment Residual Useful Life Prediction Oriented Parallel Simulation Framework
inferred← citeshttps://doi.org/10.1007/s00521-022-07528-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10661-018-7145-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10712-013-9221-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11222-024-10499-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11269-019-02368-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12145-022-00869-6openalex-snapshot
Geodetic first order data assimilation using an extended Kalman filtering technique
inferred← citeshttps://doi.org/10.1016/b978-0-12-821961-4.00012-9openalex-snapshot
Sequential Monte-Carlo methods in hydroclimatology
inferred← citeshttps://doi.org/10.1016/j.advwatres.2015.05.017openalex-snapshot
A particle batch smoother for soil moisture estimation using soil temperature observations
inferred← citeshttps://doi.org/10.1016/j.advwatres.2015.06.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.advwatres.2015.08.003openalex-snapshot
Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation
inferred← citeshttps://doi.org/10.1016/j.advwatres.2015.09.007openalex-snapshot
Reduction of Used Memory Ensemble Kalman Filtering (RumEnKF): A data assimilation scheme for memory intensive, high performance computing
inferred← citeshttps://doi.org/10.1016/j.advwatres.2016.04.021openalex-snapshot
Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation
inferred← citeshttps://doi.org/10.1016/j.advwatres.2016.06.002openalex-snapshot
Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling
inferred← citeshttps://doi.org/10.1016/j.advwatres.2017.07.001openalex-snapshot
Assessing sequential data assimilation techniques for integrating GRACE data into a hydrological model
inferred← citeshttps://doi.org/10.1016/j.advwatres.2017.07.024openalex-snapshot
Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization
inferred← citeshttps://doi.org/10.1016/j.advwatres.2018.02.007openalex-snapshot
A new moving strategy for the sequential Monte Carlo approach in optimizing the hydrological model parameters
inferred← citeshttps://doi.org/10.1016/j.advwatres.2019.06.004openalex-snapshot
Development and evaluation of a hydrologic data-assimilation scheme for short-range flow and inflow forecasts in a data-sparse high-latitude region using a distributed model and ensemble Kalman filtering
inferred← citeshttps://doi.org/10.1016/j.advwatres.2019.103470openalex-snapshot
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale
inferred← citeshttps://doi.org/10.1016/j.advwatres.2019.103471openalex-snapshot
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models
inferred← citeshttps://doi.org/10.1016/j.ages.2026.100029openalex-snapshot
Benchmark-aware Ensemble Kalman Filter assimilation of soil moisture and nitrate for water conditioned leaching risk diagnosis in semi-arid maize
inferred← citeshttps://doi.org/10.1016/j.agwat.2022.108119openalex-snapshot
Modeling Actual Water Use Under Different Irrigation Regimes at District Scale: Application to the FAO-56 Dual Crop Coefficient Method
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.108704openalex-snapshot
Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.108746openalex-snapshot
Progress in joint application of crop models and hydrological models
inferred← citeshttps://doi.org/10.1016/j.apm.2019.06.028openalex-snapshot
Prediction of soil water retention curve using Bayesian updating from limited measurement data
inferred← citeshttps://doi.org/10.1016/j.catena.2017.12.022openalex-snapshot
Obtaining soil hydraulic parameters from soil water content data assimilation under different climatic/soil conditions
inferred← citeshttps://doi.org/10.1016/j.csda.2025.108304openalex-snapshot
Sequential hierarchical Bayesian model and particle filter estimation with two-step RJMCMC resampling
inferred← citeshttps://doi.org/10.1016/j.earscirev.2020.103487openalex-snapshot
Review of assimilating GRACE terrestrial water storage data into hydrological models: Advances, challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.ecolind.2022.109057openalex-snapshot
How long is the memory of forest growth to rainfall in asynchronous climates?
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2017.07.011openalex-snapshot
A Markov Chain Monte Carlo technique for parameter estimation and inference in pesticide fate and transport modeling
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2021.109608openalex-snapshot
Sequential Monte-Carlo algorithms for Bayesian model calibration – A review and method comparison✰
inferred← citeshttps://doi.org/10.1016/j.envsoft.2015.02.010openalex-snapshot
Assessment of the different sources of uncertainty in a SWAT model of the River Senne (Belgium)
inferred← citeshttps://doi.org/10.1016/j.envsoft.2015.08.013openalex-snapshot
Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation
inferred← citeshttps://doi.org/10.1016/j.envsoft.2016.02.027openalex-snapshot
Probabilistic runoff volume forecasting in risk-based optimization for RTC of urban drainage systems
inferred← citeshttps://doi.org/10.1016/j.envsoft.2016.09.012openalex-snapshot
Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method
inferred← citeshttps://doi.org/10.1016/j.envsoft.2016.11.010openalex-snapshot
A real-time probabilistic channel flood-forecasting model based on the Bayesian particle filter approach
inferred← citeshttps://doi.org/10.1016/j.envsoft.2019.03.022openalex-snapshot
Impact of measurement error and limited data frequency on parameter estimation and uncertainty quantification
inferred← citeshttps://doi.org/10.1016/j.envsoft.2020.104654openalex-snapshot
Integrated Bayesian Multi-model approach to quantify input, parameter and conceptual model structure uncertainty in groundwater modeling
inferred← citeshttps://doi.org/10.1016/j.envsoft.2022.105331openalex-snapshot
A fast and effective parameterization of water quality models
inferred← citeshttps://doi.org/10.1016/j.envsoft.2022.105382openalex-snapshot
Particle filter for high frequency oxygen data assimilation in river systems
inferred← citeshttps://doi.org/10.1016/j.ese.2026.100703openalex-snapshot
Physics-guided networks for probabilistic hydrodynamic forecasting in canal systems
inferred← citeshttps://doi.org/10.1016/j.geoderma.2022.115923openalex-snapshot
Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture
inferred← citeshttps://doi.org/10.1016/j.idairyj.2022.105467openalex-snapshot
Quantitative inversion model of protein and fat content in milk based on hyperspectral techniques
inferred← citeshttps://doi.org/10.1016/j.ijsrc.2023.06.001openalex-snapshot
Improving hydrodynamic modeling of river networks by incorporating data assimilation using a particle filter
inferred← citeshttps://doi.org/10.1016/j.istruc.2023.105565openalex-snapshot
Bayesian model updating for bridge engineering applications based on DREAMKZS algorithm and Kriging model
inferred← citeshttps://doi.org/10.1016/j.jcp.2014.11.035openalex-snapshot
An iterative particle filter approach for coupled hydro-geophysical inversion of a controlled infiltration experiment
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2013.10.029openalex-snapshot
Information loss in approximately Bayesian estimation techniques: A comparison of generative and discriminative approaches to estimating agricultural productivity
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.01.026openalex-snapshot
Soil moisture at local scale: Measurements and simulations
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.07.054openalex-snapshot
Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.08.009openalex-snapshot
An integrated error parameter estimation and lag-aware data assimilation scheme for real-time flood forecasting
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.08.038openalex-snapshot
Sequential streamflow assimilation for short-term hydrological ensemble forecasting
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2014.12.061openalex-snapshot
Evaluation of different parameterizations of the spatial heterogeneity of subsurface storage capacity for hourly runoff simulation in boreal mountainous watershed
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2015.05.039openalex-snapshot
Recursively updating the error forecasting scheme of a complementary modelling framework for improved reservoir inflow forecasts
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2016.03.026openalex-snapshot
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2016.06.022openalex-snapshot
Effect of formal and informal likelihood functions on uncertainty assessment in a single event rainfall-runoff model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.03.027openalex-snapshot
Towards robust quantification and reduction of uncertainty in hydrologic predictions: Integration of particle Markov chain Monte Carlo and factorial polynomial chaos expansion
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.05.010openalex-snapshot
Development of integrated approaches for hydrological data assimilation through combination of ensemble Kalman filter and particle filter methods
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.07.036openalex-snapshot
A generalized Gaussian distribution based uncertainty sampling approach and its application in actual evapotranspiration assimilation
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.09.027openalex-snapshot
Assimilation of water temperature and discharge data for ensemble water temperature forecasting
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2017.10.032openalex-snapshot
A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.02.026openalex-snapshot
Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.06.043openalex-snapshot
A new efficient Bayesian parameter inference strategy: Application to flow and pesticide transport through unsaturated porous media
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2018.11.038openalex-snapshot
Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124708openalex-snapshot
Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.125729openalex-snapshot
Comparison of ensemble data assimilation methods for the estimation of time-varying soil hydraulic parameters
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2021.127166openalex-snapshot
Monitoring water storage decline over the Middle East
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127683openalex-snapshot
Development of a stochastic hydrological modeling system for improving ensemble streamflow prediction
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128057openalex-snapshot
Application of stochastic time dependent parameters to improve the characterization of uncertainty in conceptual hydrological models
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128136openalex-snapshot
Towards reliable uncertainty quantification for hydrologic predictions, part II: Characterizing impacts of uncertain factors through an iterative factorial data assimilation framework
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.128163openalex-snapshot
Towards reliable uncertainty quantification for hydrologic predictions, Part I: Development of a particle copula Metropolis Hastings method
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.131812openalex-snapshot
Assimilating multivariate remote sensing data into a fully coupled subsurface-land surface hydrological model
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2024.132119openalex-snapshot
Lead-time-dependent calibration of a flood forecasting model
inferred← citeshttps://doi.org/10.1016/j.jsv.2014.10.002openalex-snapshot
The estimation of time-invariant parameters of noisy nonlinear oscillatory systems
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118536openalex-snapshot
Investigating the effect of correlation between random variables in improving the state estimation in SLAM problem using copula-based particle filter
inferred← citeshttps://doi.org/10.1016/j.rse.2018.04.034openalex-snapshot
Deriving daily water levels from satellite altimetry and land surface temperature for sparsely gauged catchments: A case study for the Mekong River
inferred← citeshttps://doi.org/10.1016/j.rse.2019.111622openalex-snapshot
Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2017.12.289openalex-snapshot
A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.08.032openalex-snapshot
Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.08.079openalex-snapshot
The application of multi-mission satellite data assimilation for studying water storage changes over South America
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2024.172009openalex-snapshot
Improved data assimilation for algal bloom dynamics simulation in the Three Gorges Reservoir using particle filter
inferred← citeshttps://doi.org/10.1016/j.simpa.2024.100728openalex-snapshot
PEM-SMC: An algorithm for optimizing model parameters
inferred← citeshttps://doi.org/10.1016/j.spa.2019.03.012openalex-snapshot
Posterior consistency for partially observed Markov models
inferred← citeshttps://doi.org/10.1016/j.tust.2025.107168openalex-snapshot
Sequential data assimilation for digital twin modeling of shield tunnel structure-soil interaction systems
inferred← citeshttps://doi.org/10.1016/j.watres.2019.115021openalex-snapshot
Oxygen data assimilation for estimating micro-organism communities’ parameters in river systems
inferred← citeshttps://doi.org/10.1029/2011wr011607openalex-snapshot
Bayesian model averaging using particle filtering and Gaussian mixture modeling: Theory, concepts, and simulation experiments
inferred← citeshttps://doi.org/10.1029/2012wr012144openalex-snapshot
Evolution of ensemble data assimilation for uncertainty quantification using the particle filter‐Markov chain Monte Carlo method
inferred← citeshttps://doi.org/10.1029/2017wr021857openalex-snapshot
Estimation and Impact Assessment of Input and Parameter Uncertainty in Predicting Groundwater Flow With a Fully Distributed Model
inferred← citeshttps://doi.org/10.1029/2018wr022854openalex-snapshot
Nonparametric Data Assimilation Scheme for Land Hydrological Applications
inferred← citeshttps://doi.org/10.1029/2019ms001797openalex-snapshot
Soil Moisture Data Assimilation to Estimate Irrigation Water Use
inferred← citeshttps://doi.org/10.1029/2019ms001924openalex-snapshot
Bayesian Model Averaging With Fixed and Flexible Priors: Theory, Concepts, and Calibration Experiments for Rainfall‐Runoff Modeling
inferred← citeshttps://doi.org/10.1029/2019wr025474openalex-snapshot
Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution
inferred← citeshttps://doi.org/10.1029/2019wr025721openalex-snapshot
Surrogate‐Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error
inferred← citeshttps://doi.org/10.1029/2019wr026541openalex-snapshot
A Calibration Framework for High‐Resolution Hydrological Models Using a Multiresolution and Heterogeneous Strategy
inferred← citeshttps://doi.org/10.1029/2019wr026777openalex-snapshot
Quasi‐Online Groundwater Model Optimization Under Constraints of Geological Consistency Based on Iterative Importance Sampling
inferred← citeshttps://doi.org/10.1029/2020jd032688openalex-snapshot
Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model
inferred← citeshttps://doi.org/10.1029/2020rg000715openalex-snapshot
Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis
inferred← citeshttps://doi.org/10.1029/2020wr028400openalex-snapshot
Potential and Challenges of Investigating Intrinsic Uncertainty of Hydrological Models With Stochastic, Time‐Dependent Parameters
inferred← citeshttps://doi.org/10.1029/2020wr028499openalex-snapshot
Jointly Calibrating Hydrologic Model Parameters and State Adjustments
inferred← citeshttps://doi.org/10.1029/2020wr029339openalex-snapshot
Non‐Gaussian Parameter Inference for Hydrogeological Models Using Stein Variational Gradient Descent
inferred← citeshttps://doi.org/10.1029/2021ms002882openalex-snapshot
An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation
inferred← citeshttps://doi.org/10.1029/2022rg000801openalex-snapshot
Land Data Assimilation: Harmonizing Theory and Data in Land Surface Process Studies
inferred← citeshttps://doi.org/10.1029/2023ms003821openalex-snapshot
An Efficient and Robust Estimation of Spatio‐Temporally Distributed Parameters in Dynamic Models by an Ensemble Kalman Filter
inferred← citeshttps://doi.org/10.1029/2023rg000816openalex-snapshot
Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
inferred← citeshttps://doi.org/10.1029/2023wr036549openalex-snapshot
Quantifying Landfill Emission Potential Using a Weakly Coupled Particle Filter
inferred← citeshttps://doi.org/10.1029/2023wr036610openalex-snapshot
Rare Event Probability Estimation for Groundwater Inverse Problems With a Two‐Stage Sequential Monte Carlo Approach
inferred← citeshttps://doi.org/10.1029/2024wr039665openalex-snapshot
A Hybrid Data Assimilation Approach Integrating Kalman With Deep Learning‐Based Updates for Nonlinear and Non‐Gaussian Groundwater Systems
inferred← citeshttps://doi.org/10.1029/2025wr040933openalex-snapshot
A Novel Sequential Monte Carlo Algorithm for Parameter Estimation in Eco‐Hydrological Models
inferred← citeshttps://doi.org/10.1061/(asce)he.1943-5584.0001013openalex-snapshot
Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting
inferred← citeshttps://doi.org/10.1061/(asce)he.1943-5584.0002220openalex-snapshot
Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures
inferred← citeshttps://doi.org/10.1061/jenmdt.emeng-7783openalex-snapshot
An Efficient Bayesian Updating Method and Its Application in the Structural Analysis of Underground Tunnels
inferred← citeshttps://doi.org/10.1061/jhyeff.heeng-6263openalex-snapshot
Integrated Multisource Data Assimilation and NSGA-II Multiobjective Optimization Framework for Streamflow Simulations
inferred← citeshttps://doi.org/10.1080/02626667.2016.1234712openalex-snapshot
Are modern metaheuristics successful in calibrating simple conceptual rainfall–runoff models?
inferred← citeshttps://doi.org/10.1080/02626667.2020.1761021openalex-snapshot
Remote sensing data assimilation
inferred← citeshttps://doi.org/10.1080/02626667.2023.2180375openalex-snapshot
A fusion-based data assimilation framework for runoff prediction considering multiple sources of precipitation
inferred← citeshttps://doi.org/10.1080/08120099.2019.1620855openalex-snapshot
Integrating satellite soil-moisture estimates and hydrological model products over Australia
inferred← citeshttps://doi.org/10.1080/09537287.2020.1833377openalex-snapshot
Proposition of a method for stochastic analysis of value streams
inferred← citeshttps://doi.org/10.1080/13241583.2017.1398365openalex-snapshot
Parameter estimation for a large catchment
inferred← citeshttps://doi.org/10.1109/cac51589.2020.9326588openalex-snapshot
Gibbs Parameter Sampling Algorithm Based on Finite Mixture Model of Random Point Pattern
inferred← citeshttps://doi.org/10.1109/ijcnn.2015.7280427openalex-snapshot
Comparison between inverse modelling and data assimilation to estimate rainfall from runoff using the multilayer perceptron
inferred← citeshttps://doi.org/10.1109/jstars.2014.2322096openalex-snapshot
An Improved Particle Filter Algorithm Based on Ensemble Kalman Filter and Markov Chain Monte Carlo Method
inferred← citeshttps://doi.org/10.1109/jstsp.2015.2509940openalex-snapshot
Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems
inferred← citeshttps://doi.org/10.1111/ele.12876openalex-snapshot
Probing the limits of predictability: data assimilation of chaotic dynamics in complex food webs
inferred← citeshttps://doi.org/10.1111/sjos.12136openalex-snapshot
Uniform Ergodicity of the Particle Gibbs Sampler
inferred← citeshttps://doi.org/10.11144/javeriana.10554.19580openalex-snapshot
Forecasting of uv-vis spectrometry time series for online water quality monitoring in operating urban sewer systems
inferred← citeshttps://doi.org/10.1190/segam2021-3580979.1openalex-snapshot
Bayesian evidential learning: An alternative to hydrogeophysical coupled inversion
inferred← citeshttps://doi.org/10.1214/15-aihp695openalex-snapshot
On particle Gibbs samplers
inferred← citeshttps://doi.org/10.1515/johh-2016-0002openalex-snapshot
Bayesian estimation of the hydraulic and solute transport properties of a small-scale unsaturated soil column
inferred← citeshttps://doi.org/10.1590/2318-0331.241920180031openalex-snapshot
Data assimilation using the ensemble Kalman filter in a distributed hydrological model on the Tocantins River, Brasil
inferred← citeshttps://doi.org/10.18637/jss.v100.i03openalex-snapshot
Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages
inferred← citeshttps://doi.org/10.21168/rbrh.v19n4.p148-159openalex-snapshot
Avaliação bayesiana das incertezas nas estimativas dos parâmetros de um modelo chuva-vazão conceitual
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1179932/v1openalex-snapshot
An Extended Kalman Filtering Technique for Geodetic First Order Data Assimilation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1922882/v1openalex-snapshot
Modeling actual irrigation water use regimes at district scale: application to the FAO-56 dual crop coefficient method
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2118063/v1openalex-snapshot
A Hybrid Approach to Forecasting Water Quality in Urban Drainage Systems
inferred← citeshttps://doi.org/10.2166/nh.2014.051openalex-snapshot
Comparative evaluation of performances of different conceptualisations of distributed HBV runoff response routines for prediction of hourly streamflow in boreal mountainous catchments
inferred← citeshttps://doi.org/10.22215/etd/2013-08572openalex-snapshot
Bayesian inference for complex and large-scale engineering systems
inferred← citeshttps://doi.org/10.22564/brjg.v38i2.2042openalex-snapshot
Artificial Neural Network for Data Assimilation by WRF Model in Rio de Janeiro, Brazil
inferred← citeshttps://doi.org/10.22564/rbgf.v38i2.2042openalex-snapshot
Artificial Neural Network for Data Assimilation by WRF Model in Rio de Janeiro, Brazil
inferred← citeshttps://doi.org/10.31223/osf.io/bygufopenalex-snapshot
Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?
inferred← citeshttps://doi.org/10.3150/14-bej629openalex-snapshot
On particle Gibbs sampling
inferred← citeshttps://doi.org/10.3389/fenvs.2014.00016openalex-snapshot
Data assimilation: making sense of Earth Observation
inferred← citeshttps://doi.org/10.3390/agronomy12112793openalex-snapshot
Uncertainty Analysis of HYDRUS-1D Model to Simulate Soil Salinity Dynamics under Saline Irrigation Water Conditions Using Markov Chain Monte Carlo Algorithm
inferred← citeshttps://doi.org/10.3390/rs12101556openalex-snapshot
Assimilating SMOS Brightness Temperature for Hydrologic Model Parameters and Soil Moisture Estimation with an Immune Evolutionary Strategy
inferred← citeshttps://doi.org/10.3390/rs13214459openalex-snapshot
Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems
inferred← citeshttps://doi.org/10.3390/rs9030273openalex-snapshot
Improving Soil Moisture Estimation with a Dual Ensemble Kalman Smoother by Jointly Assimilating AMSR-E Brightness Temperature and MODIS LST
inferred← citeshttps://doi.org/10.3390/s21134304openalex-snapshot
The 2019–2020 Rise in Lake Victoria Monitored from Space: Exploiting the State-of-the-Art GRACE-FO and the Newly Released ERA-5 Reanalysis Products
inferred← citeshttps://doi.org/10.3390/s23041848openalex-snapshot
Land Surface Model Calibration Using Satellite Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/w11020211openalex-snapshot
Immune Evolution Particle Filter for Soil Moisture Data Assimilation
inferred← citeshttps://doi.org/10.3390/w11081615openalex-snapshot
The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review
inferred← citeshttps://doi.org/10.3390/w17202932openalex-snapshot
Beyond Deterministic Forecasts: A Scoping Review of Probabilistic Uncertainty Quantification in Short-to-Seasonal Hydrological Prediction
inferred← citeshttps://doi.org/10.3808/jeil.201900019openalex-snapshot
Uncertainty Quantification in Hydrologic Predictions: A Brief Review
inferred← citeshttps://doi.org/10.48550/arxiv.1401.0604openalex-snapshot
Particle Gibbs with Ancestor Sampling
inferred← citeshttps://doi.org/10.48550/arxiv.1404.5733openalex-snapshot
On particle Gibbs Markov chain Monte Carlo models
inferred← citeshttps://doi.org/10.48550/arxiv.1505.06356openalex-snapshot
Particle ancestor sampling for near-degenerate or intractable state transition models
inferred← citeshttps://doi.org/10.48550/arxiv.1703.06206openalex-snapshot
Sequential Monte Carlo Methods in the nimble R Package
inferred← citeshttps://doi.org/10.48550/arxiv.1801.03125openalex-snapshot
Mathematical modeling of cholera epidemics in South Sudan
inferred← citeshttps://doi.org/10.48550/arxiv.1806.06520openalex-snapshot
Stability of Conditional Sequential Monte Carlo
inferred← citeshttps://doi.org/10.5194/acp-15-5987-2015openalex-snapshot
Reliable, robust and realistic: the three R's of next-generation land-surface modelling
inferred← citeshttps://doi.org/10.5194/egusphere-egu2020-6765openalex-snapshot
Potential and Challenges of Investigating Intrinsic Uncertainty of Hydrological Models with Stochastic, Time-Dependent Parameters
inferred← citeshttps://doi.org/10.5194/gmd-12-2009-2019openalex-snapshot
Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy
inferred← citeshttps://doi.org/10.5194/hess-17-1265-2013openalex-snapshot
Snow glacier melt estimation in tropical Andean glaciers using artificial neural networks
inferred← citeshttps://doi.org/10.5194/hess-17-3455-2013openalex-snapshot
Resolving structural errors in a spatially distributed hydrologic model using ensemble Kalman filter state updates
inferred← citeshttps://doi.org/10.5194/hess-17-4831-2013openalex-snapshot
Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation
inferred← citeshttps://doi.org/10.5194/hess-18-2521-2014openalex-snapshot
Kalman filters for assimilating near-surface observations into the Richards equation – Part 2: A dual filter approach for simultaneous retrieval of states and parameters
inferred← citeshttps://doi.org/10.5194/hess-18-2543-2014openalex-snapshot
Kalman filters for assimilating near-surface observations into the Richards equation – Part 3: Retrieving states and parameters from laboratory evaporation experiments
inferred← citeshttps://doi.org/10.5194/hess-18-3923-2014openalex-snapshot
Improving streamflow predictions at ungauged locations with real-time updating: application of an EnKF-based state-parameter estimation strategy
inferred← citeshttps://doi.org/10.5194/hess-20-4949-2016openalex-snapshot
Identification of hydrological model parameter variation using ensemble Kalman filter
inferred← citeshttps://doi.org/10.5194/hess-2015-407openalex-snapshot
Identification of hydrological model parameters variation using ensemble Kalman filter
inferred← citeshttps://doi.org/10.5194/hess-2016-42-rc2openalex-snapshot
Review
inferred← citeshttps://doi.org/10.5194/hess-2019-324openalex-snapshot
Do surface lateral flows matter for data assimilation of soil moisture observations into hyperresolution land models?
inferred← citeshttps://doi.org/10.5194/hess-2020-19openalex-snapshot
Socio-hydrologic data assimilation: Analyzing human-flood interactions by model-data integration
inferred← citeshttps://doi.org/10.5194/hess-2022-95-ac1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/hess-2022-95-ac2openalex-snapshot
Reply on RC2
inferred← citeshttps://doi.org/10.5194/hess-2022-95-cc1openalex-snapshot
Reply on RC1
inferred← citeshttps://doi.org/10.5194/hess-2022-95-rc2openalex-snapshot
Comment on hess-2022-95
inferred← citeshttps://doi.org/10.5194/hess-21-4927-2017openalex-snapshot
State and parameter estimation of two land surface models using the ensemble Kalman filter and the particle filter
inferred← citeshttps://doi.org/10.5194/hess-23-1163-2019openalex-snapshot
Covariance resampling for particle filter – state and parameter estimation for soil hydrology
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