Reanalysis

Results: 814



#Item
351Statistical forecasting / Statistics / Hindcast / Data assimilation / CLIMAT / Climate / ERA-40 / Special sensor microwave/imager / Meteorological reanalysis / Atmospheric sciences / Meteorology / Weather prediction

Recent Progress of Climate-related Researches at JMA Shingo Yamada Tokyo Climate Center Japan Meteorological Agency

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Source URL: ds.data.jma.go.jp

Language: English - Date: 2011-08-09 00:55:02
352Weather satellites / Japanese space program / Weather prediction / Statistical forecasting / Multi-Functional Transport Satellite / Data assimilation / CLIMAT / ERA-40 / Meteosat / Spaceflight / Earth / Atmospheric sciences

The JRA-55 Reanalysis: quality control and reprocessing of observational data Kazutoshi Onogi On behalf of JRA group

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Source URL: ds.data.jma.go.jp

Language: English - Date: 2014-12-18 04:10:18
353Science / Statistical forecasting / Weather prediction / Bayesian statistics / Estimation theory / Ocean reanalysis / Data assimilation / Numerical weather prediction / European Centre for Medium-Range Weather Forecasts / Atmospheric sciences / Meteorology / Oceanography

Australian Meteorological and Oceanographic Journal[removed] Ocean data assimilation: a case for ensemble optimal interpolation Peter R. Oke1,2 , Gary B. Brassington1,3, David A. Griffin1,2 and Andreas Schiller1,

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Source URL: www.cmar.csiro.au

Language: English - Date: 2010-02-06 04:52:32
354

Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency 24 July[removed]Completion of the Japanese 55-year Reanalysis

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Source URL: jra.kishou.go.jp

Language: English - Date: 2014-01-10 02:54:27
    355Statistical forecasting / Oceanography / Hindcast / Mathematical modeling / Physical oceanography / Ocean reanalysis / Atmospheric model / Global climate model / Data assimilation / Atmospheric sciences / Meteorology / Weather prediction

    The use of ocean reanalysis products to initialize ENSO predictions by Youmin Tang

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    Source URL: www.ensonetwork.org

    Language: English - Date: 2014-03-13 21:13:26
    356Akaike information criterion / Model selection / Viterbi algorithm / Autoregressive conditional heteroskedasticity / Statistics / Markov models / Error detection and correction

    Systematic southern hemisphere regime identification in NCEP reanalysis and ACCESS AMIP data sets Terence O’Kane* James Risbey* Christian Franzke#

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    Source URL: cawcr.gov.au

    Language: English - Date: 2011-08-18 22:00:26
    357Prediction / Statistical forecasting / NCEP/NCAR Reanalysis / Weather forecasting / Forecasting / Data assimilation / Hindcast / Forecast skill / Met Office / Atmospheric sciences / Meteorology / Weather prediction

    DYNAMICAL INTRA-SEASONAL PREDICTION Debbie Hudson, Andrew Marshall, Yonghong Yin, Oscar Alves, Harry Hendon, Matthew Wheeler, Harun Rashid, Guomin Wang, Guo Liu, Griffith Young, Peter Oke The Centre for Australian Weathe

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    Source URL: cawcr.gov.au

    Language: English - Date: 2011-12-11 22:17:00
    358Statistical forecasting / Computational science / NCEP/NCAR Reanalysis / ERA-40 / Meteorological reanalysis / Atmospheric model / Data assimilation / Numerical weather prediction / Global climate model / Atmospheric sciences / Meteorology / Weather prediction

    Japanese 25-year Reanalysis Plan 13/Aug/2001 JRA-25 working group

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    Source URL: jra.kishou.go.jp

    Language: English - Date: 2013-08-28 21:08:35
    359Statistical forecasting / Computational science / Numerical weather prediction / Weather forecasting / Data assimilation / Meteorological reanalysis / NCEP/NCAR Reanalysis / Atmospheric sciences / Meteorology / Weather prediction

    South Asian Regional Reanalysis (SARR)

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    Source URL: www.ncmrwf.gov.in

    Language: English - Date: 2010-08-03 02:24:06
    360Vortices / Tropical cyclone / Cyclone / Severe weather / Atlantic hurricane reanalysis project / Climate of Australia / Meteorology / Atmospheric sciences / Weather

    The Australian Journal of Emergency Management, Vol. 23 No. 4, November[removed]Assessing risk from meteorological phenomena using limited and biased databases Alan Sharp discusses a number of meteorological databases

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    Source URL: www.em.gov.au

    Language: English - Date: 2015-02-03 19:41:30
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