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North American Multi-Model Ensemble (NMME) Seasonal Prediction System


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    dateStamp:  2023-06-23
    metadataStandardName:  ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
    metadataStandardVersion:  ISO 19115-2:2009(E)
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        citation:  (CI_Citation)
            title:  North American Multi-Model Ensemble (NMME) Seasonal Prediction System
            alternateTitle:  NMME
            date:  (CI_Date)
                date:  2018-12-01
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                code:  NCEI DSI 6196_01
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                code:  gov.noaa.ncdc:C01540
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        abstract:  The North American Multi-Model Ensemble (NMME) is a multi-model seasonal forecasting system consisting of coupled models from North American modeling centers. The contributing modeling centers are NOAA's National Centers for Environmental Prediction (NCEP), NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), NASA's Goddard Space Flight Center (GSFC), Environment Canada’s Centre for Climate Modeling and Analysis (CCCma), and the National Center for Atmospheric Research (NCAR). The models include the Climate Forecast System model version 2 (CFSv2-2011), the Forecast-oriented Low Ocean Resolution model using parameter set B (FLORB-01), the Goddard Earth Observing System Model version 5 (GEOS-5), the Canadian Coupled Climate Model versions 3 and 4 (CanCM3, CanCM4), the Community Earth System Model version 1 (CESM1) and the Community Climate System Model version 4 (CCSM4). It contains global, 12-month daily forecasts of key variables from the participating models at a 1-degree latitude by 1-degree longitude spatial resolution. The model variables are liquid water equivalent precipitation rate, 2-meter air temperature, maximum and minimum 2-meter air temperatures, zonal and meridional surface stress, air pressure at sea level, specific humidity at 850 hPa, zonal and meridional wind at 850 hPa, zonal and meridional wind at 200 hPa, geopotential height at 500 hPa, net solar flux at surface and net longwave flux at top of model. The data file format is netCDF.
        purpose:  Several studies have found that the multi-model ensemble (MME) approach has proven extremely effective at quantifying prediction uncertainty due to uncertainty in model formulation, and has proven to produce better prediction quality (on average) than a single model ensemble.
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                    administrativeArea:  NC
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            keyword:  Earth Science > Atmosphere > Altitude > Geopotential Height
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            keyword:  Earth Science > Atmosphere > Atmospheric Winds > Wind Dynamics > Wind Stress
            keyword:  Earth Science > Atmosphere > Atmospheric Winds > Boundary Layer Winds
            keyword:  Earth Science > Atmosphere > Atmospheric Winds > Surface Winds
            keyword:  Earth Science > Atmosphere > Atmospheric Winds > Upper Level Winds
            keyword:  Earth Science > Atmosphere > Precipitation > Precipitation Rate
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            otherConstraints:  Cite as: NOAA National Centers for Environmental Prediction. (2018): North American Multi-Model Ensemble (NMME) Seasonal Prediction System. [indicate subset used]. NOAA National Centers for Environmental Information. Accessed [date].
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            otherConstraints:  Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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                title:  The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction
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                    date:  2014
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                            description:  Kirtman, B.P., D. Min, J.M. Infanti, J.L. Kinter, D.A. Paolino, Q. Zhang, H. van den Dool, S. Saha, M.P. Mendez, E. Becker, P. Peng, P. Tripp, J. Huang, D.G. DeWitt, M.K. Tippett, A.G. Barnston, S. Li, A. Rosati, S.D. Schubert, M. Rienecker, M. Suarez, Z.E. Li, J. Marshak, Y. Lim, J. Tribbia, K. Pegion, W.J. Merryfield, B. Denis, and E.F. Wood, 2014: The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction. Bull. Amer. Meteor. Soc., 95, 585–601, https://doi.org/10.1175/BAMS-D-12-00050.1
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                    beginPosition:  2016-01-01
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                fees:  In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
                orderingInstructions:  Contact NCEI for other distribution options and instructions.
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                description:  NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
                dateTime:
                  DateTime:  2015-04-22T00:00:00
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        maintenanceNote:  Bulk metadata change applied on 2023-06-23. See version control repository history for metadata change details.