Parameter uncertainty quantification in an idealized GCM with a seasonal cycle

Parameter uncertainty quantification in an idealized GCM with a seasonal cycle

Bibliographic Details
Main Authors:	Howland, Michael F, Dunbar, Oliver RA, Schneider, Tapio
Other Authors:	Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2023
Online Access:	https://hdl.handle.net/1721.1/148537

Similar Items

Scaling of Precipitation Extremes over a Wide Range of Climates Simulated with an Idealized GCM
by: Schneider, Tapio, et al.
Published: (2011)

Oceanic control of multidecadal variability in an idealized coupled GCM
by: Jamet, Quentin, et al.
Published: (2016)

Ensemble‐Based Experimental Design for Targeting Data Acquisition to Inform Climate Models
by: Dunbar, Oliver RA, et al.
Published: (2023)

Sensitivities of deep-ocean heat uptake and heat content to surface fluxes and subgrid-scale parameters in an ocean GCM with idealized geometry
Published: (2003)

The influence of orography on an East Coast storm, as simulated by the NCAR GCM
by: Sheldon, John Palmer
Published: (2010)

Uncertainty Quantification In Population Models
by: Omar, Almbrok Hussin Alsonosi
Published: (2013)

Understanding Decreases in Land Relative Humidity with Global Warming: Conceptual Model and GCM Simulations
by: Byrne, Michael P., et al.
Published: (2017)

Supervised Calibration and Uncertainty Quantification of Subgrid Closure Parameters using Ensemble Kalman Inversion
by: Hillier, Adeline
Published: (2022)

Essays on Algorithmic Learning and Uncertainty Quantification
by: Vijaykumar, Suhas
Published: (2023)

Uncertainty quantification of photovoltaic power generation
by: Faranak Golestaneh
Published: (2017)

Uncertainty Quantification in ocean state estimation
by: Kalmikov, Alexander G
Published: (2013)

On the Seasonal Cycles of Tropical Cyclone Potential Intensity
by: Gilford, Daniel Michael, et al.
Published: (2018)

Efficacy of Geo-Cellular Mat (GCM) to mitigate settlement via field performance
by: Tuan Ismail, Tuan Noor Hasanah, et al.
Published: (2021)

Uncertainty quantification of leakages in a multistage simulation and comparison with experiments
by: Mazzoni, C, et al.
Published: (2017)

Uncertain of uncertainties? A comparison of uncertainty quantification metrics for chemical data sets
by: Rasmussen, Maria H., et al.
Published: (2024)

Trustworthy Learning and Uncertainty Quantification under Constraints
by: Shen, Maohao
Published: (2023)

Quantification of structural uncertainties in RANS turbulence models
by: Dow, Eric Alexander
Published: (2012)

Uncertainty quantification for integrated circuits and microelectrornechanical systems
by: Zhang, Zheng, Ph. D. Massachusetts Institute of Technology
Published: (2015)

Understanding decreases in land relative humidity with global warming: Conceptual model and GCM simulations
by: Byrne, M, et al.
Published: (2016)

Seasonal Variability of the Polar Stratospheric Vortex in an Idealized AGCM with Varying Tropospheric Wave Forcing
by: Sheshadri, Aditi, et al.
Published: (2016)

Uncertainty quantification of network availability for networks of optical ground stations
by: Del Portillo Barrios, Inigo, et al.
Published: (2018)

A dynamic study of self-induced seasonal cycles
by: Bates, Philip Knight
Published: (2005)

The nitrogen cycle and ecohydrology of seasonally dry grasslands
by: Parolari, Anthony Joseph
Published: (2013)

A decomposition-based approach to uncertainty quantification of multicomponent systems
by: Amaral, Sergio Daniel Marques
Published: (2016)

Uncertainty quantification for complex systems : application to the study of cities
by: Steentoft, Aike Alexander
Published: (2021)

Quantification of multiple sources of uncertainty in hydrologic and climate modelling
by: Vallam, Pramodh
Published: (2016)

Quantification of model uncertainty and variability in Newmark displacement analysis
by: Du, Wenqi, et al.
Published: (2020)

Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification
by: Wang, Jian, et al.
Published: (2021)

Uncertainty quantification in lattice QCD calculations for nuclear physics
by: Beane, Silas R, et al.
Published: (2017)

Molecular nonlinear dynamics and protein thermal uncertainty quantification
by: Xia, Kelin, et al.
Published: (2016)

Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification
by: Wang, Jian, et al.
Published: (2021)

Atmospheric Density Uncertainty Quantification for Satellite Conjunction Assessment
by: Gondelach, David J, et al.
Published: (2021)

Uncertainty quantification for integrated circuits: Stochastic spectral methods
by: Zhang, Zheng, et al.
Published: (2017)

Uncertainty Quantification and Structure Discovery for Scalable Behavior Science
by: Hayden, David S.
Published: (2022)

Inference and uncertainty quantification for unsupervised structural monitoring problems
by: Mohammadi Ghazi, Reza
Published: (2018)

Quantification of the impact of climate uncertainty on regional air quality
by: Liao, K.-J., et al.
Published: (2011)

Computational fluid dynamics and turbulence model uncertainty quantification for nuclear reactor safety applications
by: Acton, Michael (Michael John)
Published: (2021)

Two sources of uncertainty in estimating tephra volumes from isopachs: perspectives and quantification
by: Yang, Qingyuan, et al.
Published: (2023)

Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification
by: Wu, Xu, et al.
Published: (2020)

High-order retractions for reduced-order modeling and uncertainty quantification
by: Charous, Aaron (Aaron Solomon)
Published: (2021)