3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Nonstationary Spatial Modeling of Massive Global Satellite Data
Huang Huang, Lewis R. Blake, Matthias Katzfuss +1
Earth-observing satellite instruments obtain a massive number of observations every day. For example, tens of millions of sea surface temperature (SST) observations on a global sca…
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks
Huang Huang, Stefano Castruccio, Marc G. Genton
Fast and accurate hourly forecasts of wind speed and power are crucial in quantifying and planning the energy budget in the electric grid. Modeling wind at a high resolution brings…
Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach
Huang Huang, Dorit Hammerling, Bo Li +1
Projections of future climate change rely heavily on climate models, and combining climate models through a multi-model ensemble is both more accurate than a single climate model a…
Visualization and Assessment of Spatio-temporal Covariance Properties
Huang Huang, Ying Sun
Spatio-temporal covariances are important for describing the spatio-temporal variability of underlying random processes in geostatistical data. For second-order stationary processe…