<--- Back to Details
First PageDocument Content
Estimation theory / Atmospheric sciences / Prediction / Control theory / Linear filters / Data assimilation / Ensemble Kalman filter / Forecasting / Covariance / Statistics / Statistical forecasting / Bayesian statistics
Date: 2011-10-31 18:50:09
Estimation theory
Atmospheric sciences
Prediction
Control theory
Linear filters
Data assimilation
Ensemble Kalman filter
Forecasting
Covariance
Statistics
Statistical forecasting
Bayesian statistics

Microsoft PowerPoint - HFIP-HYBDA-TC-xuguang-wang.pptx

Add to Reading List

Source URL: rammb.cira.colostate.edu

Download Document from Source Website

File Size: 2,31 MB

Share Document on Facebook

Similar Documents

Constraining regional-scale CO2 fluxes using a coupled meteorological–carbon ensemble Kalman filter Hans W. Chen, Fuqing Zhang, Thomas Lauvaux, Richard B. Alley, and Kenneth J. Davis

DocID: 1vaGB - View Document

High-rank Ensemble Transform Kalman Filter (HETKF) Bo Huang and Xuguang Wang Multi-scale data Assimilation and Predictability (MAP) Laboratory School of Meteorology, University of Oklahoma, Norman, OK

DocID: 1uOhU - View Document

Progress toward estimating surface carbon dioxide fluxes at the regional scale using an augmented Ensemble Kalman Filter 1,2 Hans W. Chen

DocID: 1uJvA - View Document

HFIP Publications 2015 Journals and Periodicals Aberson, S. D., A. Aksoy, K. J. Sellwood, T. Vukicevic, and X. Zhang, 2015: Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter usi

DocID: 1tP0x - View Document

Ensemble Kalman Filter Based Data Assimilation in Wave Models Paula Etala Naval Hydrographi Servi e

DocID: 1rKZ9 - View Document