<--- Back to Details
First PageDocument Content
Estimation theory / Covariance and correlation / Bayesian statistics / Control theory / Linear filters / Vorticity / Data assimilation / Covariance matrix / Covariance / Meteorology / Atmospheric sciences / Statistics
Date: 2008-12-22 13:45:14
Estimation theory
Covariance and correlation
Bayesian statistics
Control theory
Linear filters
Vorticity
Data assimilation
Covariance matrix
Covariance
Meteorology
Atmospheric sciences
Statistics

Allen Press Name /amsm/7_108 •

Add to Reading List

Source URL: www.atmos.washington.edu

Download Document from Source Website

File Size: 3,14 MB

Share Document on Facebook

Similar Documents

Intrinsic versus Practical Limits of Multi-Scale Atmospheric Predictability Professor Fuqing Zhang Director, Penn State Center for Advanced Data Assimilation and Predictability

DocID: 1vs3e - View Document

NCMRWF Unified Model and Data Assimilation System NCMRWF Unified model (NCUM) is being used for generating10-day numerical weather forecasts routinely sinceThe NCUM system is based on the Unified Model (UM) develo

DocID: 1vh7f - View Document

HFIP Publications 2017 Journals and Periodicals Aksoy, A., S. Lorsolo, T. Vukicevic, K. J. Sellwood, S. D. Aberson, and F. Zhang, 2012: The HWRF hurricane ensemble data assimilation system (HEDAS) for high-resolution dat

DocID: 1v3Or - View Document

Quantitative Precipitation Forecasting with Polarimetric Radar Data Assimilation: Typhoon SoudelorCHIH-CHIEN TSAI AND YOUNGSUN JUNG 1Taiwan

DocID: 1uUER - 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