18 citations · 47 across the 11 of their papers we have counts for
5 papers · 1 filter
Locally stationary Argo ocean heat content estimates: Modeling, validation and uncertainty quantification
Thea Sukianto, Mikael Kuusela, Donata Giglio +3
Argo profiling floats measure seawater temperature and salinity in the upper 2000 meters of the ocean. These floats are uniquely capable of measuring the global Ocean Heat Content…
Spline-Based Bayesian Emulators for Large Scale Spatial Inverse Problems
Anirban Mondal, Bani Mallick
A Bayesian approach to nonlinear inverse problems is considered where the unknown quantity (input) is a random spatial field. The forward model is complex and non-linear, therefore…
Bayesian Uncertainty Quantification of Local Volatility Model
Kai Yin, Anirban Mondal
Local volatility is an important quantity in option pricing, portfolio hedging, and risk management. It is not directly observable from the market; hence calibrations of local vola…
Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments
Pulong Ma, Anirban Mondal, Bledar Konomi +3
Observing system uncertainty experiments (OSUEs) have been recently proposed as a cost-effective way to perform probabilistic assessment of retrievals for NASA's Orbiting Carbon Ob…
Computer model calibration based on image warping metrics: an application for sea ice deformation
Yawen Guan, Christian Sampson, J. Derek Tucker +4
Arctic sea ice plays an important role in the global climate. Sea ice models governed by physical equations have been used to simulate the state of the ice including characteristic…