Výsledky vyhľadávania - computing climate model parameter uncertainties in parallel
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Data‐Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation
ISBN: 9780470072943, 0470072946Vydavateľské údaje: Hoboken, NJ, USA John Wiley & Sons, Inc 09.12.2009Vydané v 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, 1991-962XVydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 13.08.2019Vydané v 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, 2169-8996Vydavateľské údaje: Washington Blackwell Publishing Ltd 16.08.2020Vydané v 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, 1432-0894Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2016Vydané v 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, 1607-7938Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 24.07.2015Vydané v 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, 1573-1650Vydavateľské údaje: Dordrecht Springer Netherlands 01.01.2020Vydané v 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, 1879-2707Vydavateľské údaje: Elsevier B.V 01.10.2023Vydané v 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, 1944-7973Vydavateľské údaje: Washington John Wiley & Sons, Inc 01.03.2024Vydané v 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, 2076-3417Vydavateľské údaje: Basel MDPI AG 01.06.2020Vydané v 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, 1867-8548Vydavateľské údaje: Katlenburg-Lindau Copernicus GmbH 28.06.2023Vydané v 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, 1872-7107Vydavateľské údaje: Amsterdam Elsevier B.V 01.11.2018Vydané v 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, 2336-4335Vydavateľské údaje: Prague Institute of Information and Computer Technology 01.01.2015Vydané v 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, 1873-6726Vydavateľské údaje: Oxford Elsevier Ltd 01.12.2020Vydané v 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, 2045-2322Vydavateľské údaje: London Nature Publishing Group UK 10.07.2025Vydané v 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: 2375-9259Vydavateľské údaje: IEEE 01.11.2019Vydané v 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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Konferenčný príspevok.. -
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Prediction of Climate Change using SVM and Naïve Bayes Machine Learning Algorithms
ISSN: 1309-4653, 1309-4653Vydavateľské údaje: Gurgaon Ninety Nine Publication 11.04.2021Vydané v 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, 1434-4483Vydavateľské údaje: Vienna Springer Vienna 01.08.2025Vydané v 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, 1873-6726Vydavateľské údaje: Elsevier Ltd 01.05.2012Vydané v 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, 1873-2240Vydavateľské údaje: Elsevier B.V 15.09.2020Vydané v 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, 1099-095XVydavateľské údaje: England Blackwell Publishing Ltd 01.05.2015Vydané v 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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