Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.13262
Cited By
v1
v2
v3 (latest)
Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
24 December 2020
Oliver R. A. Dunbar
A. Garbuno-Iñigo
T. Schneider
Andrew M. Stuart
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM"
14 / 14 papers shown
The Ensemble Kalman Inversion Race
Rebecca Gjini
Matthias Morzfeld
Oliver R. A. Dunbar
T. Schneider
138
1
0
19 Nov 2025
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
Pritthijit Nath
Sebastian Schemm
Henry Moss
Peter Haynes
Emily Shuckburgh
Mark Webb
AI4CE
155
0
0
19 Aug 2025
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models
Caroline Tatsuoka
Minglei Yang
Dongbin Xiu
Guannan Zhang
DiffM
346
5
0
02 Apr 2025
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features
Oliver R. A. Dunbar
Nicholas H. Nelsen
Maya Mutic
758
15
0
30 Jun 2024
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence
R. Mojgani
Daniel Waelchli
Yifei Guan
Petros Koumoutsakos
Pedram Hassanzadeh
AI4Cl
AI4CE
273
6
0
01 Dec 2023
Interpretable structural model error discovery from sparse assimilation increments using spectral bias-reduced neural networks: A quasi-geostrophic turbulence test case
Journal of Advances in Modeling Earth Systems (JAMES), 2023
R. Mojgani
Ashesh Chattopadhyay
Pedram Hassanzadeh
276
11
0
22 Sep 2023
Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures
T. Helin
Andrew M. Stuart
A. Teckentrup
K. Zygalakis
235
6
0
09 Feb 2023
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model
Journal of Advances in Modeling Earth Systems (JAMES), 2022
Redouane Lguensat
Julie Deshayes
Homer Durand
Venkatramani Balaji
320
9
0
11 Aug 2022
An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation
Journal of Advances in Modeling Earth Systems (JAMES), 2021
Y. Sawada
228
6
0
24 Oct 2021
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning
Md Shakil Zaman
Jwala Dhamala
Pradeep Bajracharya
J. Sapp
B. Horácek
Katherine C. Wu
Natalia A. Trayanova
Linwei Wang
188
13
0
13 Oct 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning
Environmental Research Letters (ERL), 2021
Maike Sonnewald
Redouane Lguensat
Daniel C. Jones
P. Dueben
J. Brajard
Venkatramani Balaji
AI4Cl
AI4CE
346
125
0
26 Apr 2021
Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods
SIAM Journal on Applied Dynamical Systems (SIADS), 2021
Oliver R. A. Dunbar
Andrew B. Duncan
Andrew M. Stuart
Marie-Therese Wolfram
303
29
0
07 Apr 2021
Learning Stochastic Closures Using Ensemble Kalman Inversion
Transactions of Mathematics and Its Applications (TMIA), 2020
T. Schneider
Andrew M. Stuart
Jin-Long Wu
384
46
0
17 Apr 2020
Calibrate, Emulate, Sample
Journal of Computational Physics (JCP), 2020
Emmet Cleary
A. Garbuno-Iñigo
Shiwei Lan
T. Schneider
Andrew M. Stuart
304
122
0
10 Jan 2020
1
Page 1 of 1
