On robust estimation of low-frequency variability trends in discrete markovian sequences of atmospheric circulation patterns

Journal of the Atmospheric Sciences

Volumn 66, Issue 7, 2009, Pages 2059-2072

  Horenko, Illia ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS RESULTS; ATMOSPHERIC CIRCULATION PATTERNS; ATMOSPHERIC PROCESS; CONFIDENCE INTERVAL; DISCRETE TIME SERIES; GAUSSIAN KERNELS; HISTORICAL OBSERVATION; LONG-TERM EFFECTS; LOW FREQUENCY VARIABILITY; MARKOVIAN; MARKOVIAN MODEL; MARKOVIAN SEQUENCES; MODEL SENSITIVITY; NONSTATIONARY; NUMERICAL PROBLEMS; NUMERICAL TECHNIQUES; ROBUST ESTIMATION; SEASONAL PATTERNS; SIMPLE MODEL; STANDARD ANALYSIS; TEMPORAL TRENDS; TRANSITION PROCESS; TREND ESTIMATION; UNITED KINGDOM;

CLIMATE CHANGE; ESTIMATION; FREQUENCY ESTIMATION; MARKOV PROCESSES; METEOROLOGY; TIME SERIES; TIME SERIES ANALYSIS;

NUMERICAL METHODS;

ALGORITHM; ANTICYCLONE; ATMOSPHERIC CIRCULATION; ATMOSPHERIC MODELING; CONFIDENCE INTERVAL; CYCLONE; ESTIMATION METHOD; GAUSSIAN METHOD; MARKOV CHAIN; NUMERICAL MODEL; OBSERVATIONAL METHOD; PREDICTION; SMOOTHING; TEMPORAL VARIATION; TIME SERIES; TREND ANALYSIS; WEATHER FORECASTING;

EURASIA; EUROPE; UNITED KINGDOM; WESTERN EUROPE;

EID: 69949148733     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JAS2959.1     Document Type: Article

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