Data assimilation in the low noise regime with application to the kuroshio

Monthly Weather Review

Volumn 141, Issue 6, 2013, Pages 1822-1841

  Vanden Eijnden, Eric ^a   Weare, Jonathan ^b  

^a NEW YORK UNIVERSITY   (United States)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

Bayesian methods; Filtering techniques; Kalman filters; Numerical analysis modeling; Numerical weather prediction forecasting; Time series

Indexed keywords

BAYESIAN METHODS; DATA ASSIMILATION TECHNIQUES; ENSEMBLE KALMAN FILTER; FILTERING TECHNIQUE; LARGE DEVIATION THEORY; NUMERICAL ANALYSIS/MODELING; NUMERICAL WEATHER PREDICTION/FORECASTING; SURROUNDING REGIONS;

BAYESIAN NETWORKS; KALMAN FILTERS; TIME SERIES;

OCEAN CURRENTS;

ACCURACY ASSESSMENT; DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; NUMERICAL MODEL; STOCHASTICITY; TESTING METHOD; TIME SERIES ANALYSIS; WEATHER FORECASTING;

JAPAN; KUROSHIO CURRENT; PACIFIC OCEAN;

EID: 84880175097     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-12-00060.1     Document Type: Article

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