A new method for the comparison of trend data with an application to water vapor

Journal of Climate

Volumn 24, Issue 12, 2011, Pages 3124-3141

  Mieruch, Sebastian ^a   Noël, Stefan ^a   Reuter, Maximilian ^a   Bovensmann, Heinrich ^a   Burrows, John P ^a   Schröder, Marc ^b   Schulz, Jörg ^c  

^a UNIVERSITY OF BREMEN   (Germany)

^b DEUTSCHER WETTERDIENST   (Germany)

^c EUMETSAT   (Germany)

Author keywords

Hydrologic cycle; Radiosonde observations; Satellite observations; Statistical techniques; Trends; Water vapor

Indexed keywords

ATMOSPHERIC WATER VAPOR; BAYESIAN MODEL SELECTION; BAYESIAN POSTERIOR PROBABILITIES; BEHRENS FISHER PROBLEMS; COMPUTATIONALLY EFFICIENT; DIFFERENTIAL EVOLUTION; EARTH SURFACE TEMPERATURE; FREQUENTIST; GLOBAL CLIMATE CHANGES; GLOBAL OZONE MONITORING EXPERIMENTS; HYDROLOGIC CYCLES; HYDROLOGICAL CYCLES; HYPOTHESIS TESTING; LARGE DATASETS; MARKOV CHAIN; NATURALLY OCCURRING; POSTERIOR PROBABILITY; RADIOSONDE MEASUREMENTS; SATELLITE DATA; SATELLITE OBSERVATIONS; SCANNING IMAGING ABSORPTION SPECTROMETER FOR ATMOSPHERIC CHARTOGRAPHY; STANDARD DEVIATION; STATISTICAL SIGNIFICANCE; STATISTICAL TECHNIQUES; SURFACE TEMPERATURES; TAYLOR SERIES EXPANSIONS; TRENDS; WATER VAPOR MEASUREMENT;

ATMOSPHERIC TEMPERATURE; BAYESIAN NETWORKS; CARBON DIOXIDE; EVOLUTIONARY ALGORITHMS; GLOBAL WARMING; GREENHOUSE EFFECT; GREENHOUSE GASES; MARKOV PROCESSES; MONITORING; OZONE; QUALITY CONTROL; RADIOSONDES; SATELLITES; SPECTROMETERS; STATISTICAL TESTS; SURFACE PROPERTIES; TAYLOR SERIES; TIME SERIES; WATER ABSORPTION;

WATER VAPOR;

ALGORITHM; BAYESIAN ANALYSIS; COMPARATIVE STUDY; GEOSTATISTICS; GLOBAL CHANGE; GOME; GREENHOUSE EFFECT; HYDROLOGICAL CYCLE; HYPOTHESIS TESTING; MARKOV CHAIN; SCIAMACHY; SURFACE TEMPERATURE; TREND ANALYSIS; WATER VAPOR;

EID: 79959348809     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2011JCLI3669.1     Document Type: Article

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