Generative ai for bayesian computation
Bayesian Generative AI (BayesGen-AI) methods are developed and applied to Bayesian
computation. BayesGen-AI reconstructs the posterior distribution by directly modeling the …
computation. BayesGen-AI reconstructs the posterior distribution by directly modeling the …
Calibrating an ice sheet model using high-dimensional binary spatial data
Rapid retreat of ice in the Amundsen Sea sector of West Antarctica may cause drastic sea
level rise, posing significant risks to populations in low-lying coastal regions. Calibration of …
level rise, posing significant risks to populations in low-lying coastal regions. Calibration of …
Saving storage in climate ensembles: a model-based stochastic approach
While climate models are an invaluable tool for increasing our understanding and therefore,
the predictability of the Earth's system for decades, their increase in complexity and …
the predictability of the Earth's system for decades, their increase in complexity and …
High-fidelity hurricane surge forecasting using emulation and sequential experiments
High-fidelity hurricane surge forecasting using emulation and sequential experiments Page 1
The Annals of Applied Statistics 2021, Vol. 15, No. 1, 460–480 https://doi.org/10.1214/20-AOAS1398 …
The Annals of Applied Statistics 2021, Vol. 15, No. 1, 460–480 https://doi.org/10.1214/20-AOAS1398 …
[HTML][HTML] Reproducing internal variability with few ensemble runs
Reproducing Internal Variability with Few Ensemble Runs in: Journal of Climate Volume 32 Issue
24 (2019) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
24 (2019) Jump to Content Jump to Main Navigation Logo Logo Logo Logo Logo Logo …
A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet
We consider the scientifically challenging and policy-relevant task of understanding the past
and projecting the future dynamics of the Antarctic ice sheet. The Antarctic ice sheet has …
and projecting the future dynamics of the Antarctic ice sheet. The Antarctic ice sheet has …
[HTML][HTML] Monthly rainfall-runoff modeling at watershed scale: A comparative study of data-driven and theory-driven approaches
Data-driven machine learning approaches have been rapidly developed in the past 10 to 20
years and applied to various problems in the field of hydrology. To investigate the capability …
years and applied to various problems in the field of hydrology. To investigate the capability …
Constructing a simulation surrogate with partially observed output
Gaussian process surrogates are a popular alternative to directly using computationally
expensive simulation models. When the simulation output consists of many responses …
expensive simulation models. When the simulation output consists of many responses …
[HTML][HTML] Spatial probabilistic calibration of a high-resolution Amundsen Sea Embayment ice sheet model with satellite altimeter data
Probabilistic predictions of the sea level contribution from Antarctica often have large
uncertainty intervals. Calibration of model simulations with observations can reduce …
uncertainty intervals. Calibration of model simulations with observations can reduce …
[HTML][HTML] Exploration of diverse solutions for the calibration of imperfect climate models
S Peatier, BM Sanderson, L Terray - Earth System Dynamics, 2024 - esd.copernicus.org
The calibration of Earth system model parameters is subject to data, time, and computational
constraints. The high dimensionality of this calibration problem, combined with errors arising …
constraints. The high dimensionality of this calibration problem, combined with errors arising …