28 citations · 34 across the 7 of their papers we have counts for
7 papers
Tracing the impacts of Mount Pinatubo eruption on regional climate using spatially-varying changepoint detection
Samantha Shi-Jun, Lyndsay Shand, Bo Li
Significant events, such as volcanic eruptions, can have global and long-lasting impacts on climate. These global impacts, however, are not uniform across space and time. Understan…
Autocalibration of the E3SM version 2 atmosphere model using a PCA-based surrogate for spatial fields
Drew Yarger, Benjamin Wagman, Lyndsay Shand +1
Global Climate Model (GCM) tuning (calibration) is a tedious and time-consuming process, with high-dimensional input and output fields. Experts typically tune by iteratively runnin…
Simulating cloud-aerosol interactions made by ship emissions
Lekha Patel, Lyndsay Shand
Satellite imagery can detect temporary cloud trails or ship tracks formed from aerosols emitted from large ships traversing our oceans, a phenomenon that global climate models cann…
Spatio-temporal extreme event modeling of terror insurgencies
Lekha Patel, Lyndsay Shand, J. Derek Tucker +1
Extreme events with potential deadly outcomes, such as those organized by terror groups, are highly unpredictable in nature and an imminent threat to society. In particular, quanti…
An optical flow approach to tracking ship track behavior using GOES-R satellite imagery
Kelsie M. Larson, Lyndsay Shand, Andrea Staid +3
Ship emissions can form linear cloud structures, or ship tracks, when atmospheric water vapor condenses on aerosols in the ship exhaust. These structures are of interest because th…
Multimodal Bayesian Registration of Noisy Functions using Hamiltonian Monte Carlo
J. Derek Tucker, Lyndsay Shand, Kenny Chowdhary
Functional data registration is a necessary processing step for many applications. The observed data can be inherently noisy, often due to measurement error or natural process unce…
Elastic depths for detecting shape anomalies in functional data
Trevor Harris, James Derek Tucker, Bo Li +1
We propose a new family of depth measures called the elastic depths that can be used to greatly improve shape anomaly detection in functional data. Shape anomalies are functions th…