Search Results - computing climate model parameter uncertainties in parallel
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Data‐Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation
ISBN: 9780470072943, 0470072946Published: Hoboken, NJ, USA John Wiley & Sons, Inc 09.12.2009Published in Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications (09.12.2009)“…This chapter contains sections titled: Introduction Computing Climate Model Parameter Uncertainties in Parallel Stochastic Inversion Application to Climate…”
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A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States
ISSN: 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962XPublished: Katlenburg-Lindau Copernicus GmbH 13.08.2019Published in Geoscientific Model Development (13.08.2019)“…The Weather Research and Forecasting Hydrological (WRF-Hydro) system is a state-of-the-art numerical model that models the entire hydrological cycle based on physical principles…”
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The GAMIL3: Model Description and Evaluation
ISSN: 2169-897X, 2169-8996Published: Washington Blackwell Publishing Ltd 16.08.2020Published in Journal of geophysical research. Atmospheres (16.08.2020)“…The Grid‐point Atmospheric Model of the IAP LASG version 3 (GAMIL3) has been developed by upgrading the horizontal resolution, methods of parallel computation…”
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Stochasticity of convection in Giga-LES data
ISSN: 0930-7575, 1432-0894Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016Published in Climate dynamics (01.09.2016)“…The poor representation of tropical convection in general circulation models (GCMs) is believed to be responsible for much of the uncertainty in the predictions of weather and climate in the tropics…”
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Flood and drought hydrologic monitoring: the role of model parameter uncertainty
ISSN: 1607-7938, 1027-5606, 1607-7938Published: Katlenburg-Lindau Copernicus GmbH 24.07.2015Published in Hydrology and earth system sciences (24.07.2015)“…, floods and droughts). However, uncertainties in the meteorological forcings, model structure, and parameter identifiability limit the reliability of model predictions…”
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Approximation of Metro Water District Basin Using Parallel Computing of Emulator Based Spatial Optimization (PCESO)
ISSN: 0920-4741, 1573-1650Published: Dordrecht Springer Netherlands 01.01.2020Published in Water resources management (01.01.2020)“… 3.5 million people of Atlanta Metro Region. In this study, Parallel Computing of Emulator based Spatial Optimization ( PCESO…”
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Comparative analyses of covariance matrix adaptation and iterative ensemble smoother on high-dimensional inverse problems in high-resolution groundwater modeling
ISSN: 0022-1694, 1879-2707Published: Elsevier B.V 01.10.2023Published in Journal of hydrology (Amsterdam) (01.10.2023)“…•ES-LM outperforms the CMA-ES in calibrating high-resolution groundwater model. Parameter estimation is an inverse problem which is crucial to reliable groundwater model predictions and management…”
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Impacts of Permeability Uncertainty in a Coupled Surface‐Subsurface Flow Model Under Perturbed Recharge Scenarios
ISSN: 0043-1397, 1944-7973Published: Washington John Wiley & Sons, Inc 01.03.2024Published in Water resources research (01.03.2024)“…” studies, but, as parallel computing continues to improve, IHMs are approaching the point where they might also be useful as predictive tools…”
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Efficient Calibration of a Conceptual Hydrological Model Based on the Enhanced Gauss–Levenberg–Marquardt Procedure
ISSN: 2076-3417, 2076-3417Published: Basel MDPI AG 01.06.2020Published in Applied sciences (01.06.2020)“… Models contain many parameters that cannot be directly measured. The values of most of these parameters are determined in the calibration process conditioning the efficiency of such models…”
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Liquid cloud optical property retrieval and associated uncertainties using multi-angular and bispectral measurements of the airborne radiometer OSIRIS
ISSN: 1867-8548, 1867-1381, 1867-8548Published: Katlenburg-Lindau Copernicus GmbH 28.06.2023Published in Atmospheric measurement techniques (28.06.2023)“… as the corresponding uncertainties related to the measurement errors, the non-retrieved parameters, and the cloud model assumptions…”
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A dynamic agricultural prediction system for large-scale drought assessment on the Sunway TaihuLight supercomputer
ISSN: 0168-1699, 1872-7107Published: Amsterdam Elsevier B.V 01.11.2018Published in Computers and electronics in agriculture (01.11.2018)“…•Further acceleration of crop models and high-performance computing for large-scale crop modeling…”
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UNCERTAINTY MODELLING IN RAINFALL-RUNOFF SIMULATIONS BASED ON PARALLEL MONTE CARLO METHOD
ISSN: 1210-0552, 2336-4335Published: Prague Institute of Information and Computer Technology 01.01.2015Published in Neural Network World (01.01.2015)“…This article describes statistical evaluation of the computational model for precipitation forecast and proposes a method for uncertainty modelling of rainfall-runoff models in the Floreon…”
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GDNDC: An integrated system to model water-nitrogen-crop processes for agricultural management at regional scales
ISSN: 1364-8152, 1873-6726Published: Oxford Elsevier Ltd 01.12.2020Published in Environmental modelling & software : with environment data news (01.12.2020)“… However, few models are available that offer high computing efficiencies for region-scale simulations, integrated decision support tools, and a structure that allows for easy extension…”
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Aqua-MC as a simple open access code for uncountable runs of AquaCrop
ISSN: 2045-2322, 2045-2322Published: London Nature Publishing Group UK 10.07.2025Published in Scientific reports (10.07.2025)“… Monte Carlo simulations are widely used for uncertainty and sensitivity analysis, but their application to closed-source models like AquaCrop presents significant challenges due to the lack of direct…”
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Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction
ISSN: 2375-9259Published: IEEE 01.11.2019Published in IEEE ... International Conference on Data Mining workshops (01.11.2019)“… in complex forward models. This inversion-based prediction approach is infeasible for complex models with heterogeneous parameter uncertainties and incapable of rapid integration of streaming and multiple sources of data…”
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Conference Proceeding -
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Prediction of Climate Change using SVM and Naïve Bayes Machine Learning Algorithms
ISSN: 1309-4653, 1309-4653Published: Gurgaon Ninety Nine Publication 11.04.2021Published in Turkish journal of computer and mathematics education (11.04.2021)“… implemented. We come across a continuous crashes in simulation of Parallel Ocean Program (POP2) component of the Community Climate System Model (CCSM4…”
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Extreme precipitation risk assessment with improved WOA-Optimized copula model under composite conditions
ISSN: 0177-798X, 1434-4483Published: Vienna Springer Vienna 01.08.2025Published in Theoretical and applied climatology (01.08.2025)“… This research presents a model using an enhanced whale optimization algorithm to estimate Copula parameters (CLCWOA-Copula…”
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A parallelization framework for calibration of hydrological models
ISSN: 1364-8152, 1873-6726Published: Elsevier Ltd 01.05.2012Published in Environmental modelling & software : with environment data news (01.05.2012)“…Large-scale hydrologic models are being used more and more in watershed management and decision making…”
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Advancing simulations of water fluxes, soil moisture and drought stress by using the LWF-Brook90 hydrological model in R
ISSN: 0168-1923, 1873-2240Published: Elsevier B.V 15.09.2020Published in Agricultural and forest meteorology (15.09.2020)“…) models are important for the quantification of water fluxes, soil water availability, drought stress and their uncertainties under climate change…”
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Multivariate spatio-temporal modelling for assessing Antarctica's present-day contribution to sea-level rise
ISSN: 1180-4009, 1099-095XPublished: England Blackwell Publishing Ltd 01.05.2015Published in Environmetrics (London, Ont.) (01.05.2015)“… Constraining the contribution of the ice sheets to present‐day SLR is vital both for coastal development and planning, and climate projections…”
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