Suchergebnisse - computing climate model parameter uncertainties in parallel

Data‐Directed Importance Sampling for Climate Model Parameter Uncertainty Estimation von Jackson, Charles S., Sen, Mrinal K., Stoffa, Paul L., Huerta, Gabriel

“… 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 von Wang, Jiali, Wang, Cheng, Rao, Vishwas, Orr, Andrew, Yan, Eugene, Kotamarthi, Rao

“… 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 von Li, Lijuan, Dong, Li, Xie, Jinbo, Tang, Yanli, Xie, Feng, Guo, Zhun, Liu, Hongbo, Feng, Tao, Wang, Lu, Pu, Ye, Sun, Wenqi, Xia, Kun, Liu, Li, Xie, Zhenghui, Wang, Yan, Wang, Longhuan, Shi, Xiangjun, Jia, Binghao, Liu, Juanjuan, Wang, Bin

“… 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 von De La Chevrotière, Michèle, Khouider, Boualem, Majda, Andrew J.

“… 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 von Chaney, N. W., Herman, J. D., Reed, P. M., Wood, E. F.

“… , 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) von Budamala, Venkatesh, Mahindrakar, Amit Baburao

“… 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 von Yang, Shuo, Tsai, Frank T.-C., Bacopoulos, Peter, Kees, Christopher E.

“… •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 von Engdahl, Nicholas B.

“… ” 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 von Vidmar, Andrej, Brilly, Mitja, Sapač, Klaudija, Kryžanowski, Andrej

“… 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 von Matar, Christian, Cornet, Céline, Parol, Frédéric, C.-Labonnote, Laurent, Auriol, Frédérique, Nicolas, Marc

“… 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 von Huang, Xiao, Yu, Chaoqing, Fang, Jiarui, Huang, Guorui, Ni, Shaoqiang, Hall, Jim, Zorn, Conrad, Huang, Xiaomeng, Zhang, Wenyuan

“… •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 von Golasowski, M, Litschmannova, M, Kuchar, S, Podhorányi, M, Martinovic, J

“… 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 von Huang, Xiao, Ni, Shaoqiang, Wu, Chao, Zorn, Conrad, Zhang, Wenyuan, Yu, Chaoqing

“… 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 von Adabi, Vahid, Etedali, Hadi Ramezani, Azizian, Asghar, Gorginpaveh, Faraz, Salem, Ali, Elbeltagi, Ahmed

“… 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 von Lu, Dan, Ricciuto, Daniel

“… 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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Prediction of Climate Change using SVM and Naïve Bayes Machine Learning Algorithms von Karthikeyan, C, Sunitha, Gurram, Avanija, J, Madhavi, K Reddy, Madhan, E S

“… 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 von Wang, Zhaocai, Ma, Chao, Wu, Junhao, Wu, Tunhua

“… 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 von Rouholahnejad, E., Abbaspour, K.C., Vejdani, M., Srinivasan, R., Schulin, R., Lehmann, A.

“… 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 von Schmidt-Walter, Paul, Trotsiuk, Volodymyr, Meusburger, Katrin, Zacios, Martina, Meesenburg, Henning

“… ) 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 von Zammit-Mangion, Andrew, Rougier, Jonathan, Schön, Nana, Lindgren, Finn, Bamber, Jonathan

“… 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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