CEOP Model Output for MOLTS(Model Output Location Time Series)


IDENTIFICATION INFORMATION

Name CEOP Model Output for MOLTS(Model Output Location Time Series)
Abbreviation Coordinated Energy and Water-Cycle Observation Project Model Output (MOLTS)Datasets
Metadata Identifier CEOP_Model_MOLTS20230727080154-DIAS20221121113753-en

CONTACT

CONTACT on DATASET

Name Michael Lautenschlager
Organization Max Planck Institute for Meteorology
Address Bundesstrasse 53,, Hamburg, 20 146, Germany
TEL +81-3-5841-6105
FAX +49-40-41173 297

CONTACT on PROJECT

Data Integration and Analysis System

Name DIAS Office
Organization Japan Agency for Marine-Earth Science and Technology
Address 3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan
E-mail dias-office@diasjp.net

DOCUMENT AUTHOR

Name Michael Lautenschlager
Organization Max Planck Institute for Meteorology

DATASET CREATOR

Name BoM: Bureau of Meteorology
Name CPTEC: Centro de Previsao de Tempo e Estudos Climaticos
Name ECMWF: European Centre for Medium-Range Weather Forecasts
Name EMC: EPSON Meteo Center (Centro EPSON Meteo)
Name GLDAS: Global Land Data Assimilation System
Name GMAO: NASA Global Modeling and Assimilation Office
Name JMA: Japan Meteorological Agency
Name MSC: Meteorological Service Canada
Name NCEP: National Centers for Environmental Prediction

DATE OF THIS DOCUMENT

2023-07-27

DATE OF DATASET

  • publication : 2010-03-26

DATASET OVERVIEW

Abstract

Ten operational Numerical Weather Prediction (NWP) and two data assimilation centers are currently contributing analysis/assimilation and forecast model products from global and regional NWP suites, including both operational and reanalysis systems to this component of CEOP. The contributing centers include:

BoM: Bureau of Meteorology

CPTEC: Centro de Previsao de Tempo e Estudos Climaticos

ECMWF: European Centre for Medium-Range Weather Forecasts

ECPC: Experimental Climate Prediction Center

EMC: EPSON Meteo Center (Centro EPSON Meteo)

GLDAS: Global Land Data Assimilation System

GMAO: NASA Global Modeling and Assimilation Office

JMA: Japan Meteorological Agency

MSC: Meteorological Service Canada

NCEP: National Centers for Environmental Prediction

NCMRWF: National Center for Medium Range Weather Forecasting

UKMO: UK Met Office

The Max-Planck Institute for Meteorology (MPIM) in coordination with the ICSU World Data Center for Climate (WDCC) in Hamburg, Germany was designated as the CEOP model output archive center. The WDCC is administered by the Model and Data Group (M&D) at MPIM and the German Climate Computing Center (DKRZ).

To assist with the organization of this activity during the Coordinated Enhanced Observing Period ('CEOP'), a Model Output Management Document was drafted as a guide for the participating centers to use in setting up their processes for meeting their commitments to 'CEOP'. The Guidance Document addressed the two issues of (1) the model output variables requested by 'CEOP' and (2) the two types of requested model output, namely global gridded (in GRIB format) and site-specific Model Output Location Time Series (MOLTS) at each of the 'CEOP' Reference Sites.

A new version of the Guidance Document will be compiled that clarifies what model output data will be generated by the NWP Centers and Groups contributing to the model output component of Coordinated Energy and Water Cycle Observations Project (CEOP) and how they will interface/transfer the data that will be handled and retained at the WDCC. The issues covered in the document will include: (1) global versus regional products; (2) desired assimilation output; Interval and length of free-running forecasts; (3) Operational versus reanalysis data; (4) the CEOP schedule/archive periods; (5) the number and locations of MOLTS sites; and (6) the homogenizing of the model output and metadata formats (i.e. standard parameters).

Results up to this point in the CEOP model output generation effort make it clear that the transfer aspect of the data handling effort has been progressing well. Data from all twelve Centers participating in CEOP have been received at the data archive center and has either been placed into the database at the Hamburg facility, or is in the process of being entered into the database. The current data holdings in the MPIM archive can be viewed http://www.mad.zmaw.de/fileadmin/extern/wdc/ceop/Data_timeline_L_12.pdf.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 2001-07-01
End Date 2004-12-31
Temporal Characteristics Depends on each NWPCs (Hourly, 3hourly, 6hourly, etc.) please see http://www.eol.ucar.edu/projects/ceop/dm/model/model_table.html for more detail

Geographic Bounding Box

North bound latitude 71.62
West bound longitude 148.15
Eastbound longitude -156.62
South bound latitude -35.66

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Climate GEOSS

Keywords on Project

Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

Online Resource

Distribution Information

name version specification
netCDF no information BMRC, ECPC
IEEE Binary no information CPTEC, NCEP
ASCII no information ECMWF, GLDAS, JMA, UKMet

DATA PROCESSING

Data Processing (1)

General Explanation of the data producer's knowledge about the lineage of a dataset

No information

DATA POLICY

Data Policy by the Project

Data Integration and Analysis System

If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/) and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.

If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider's policy shall prevail.

DATA SOURCE ACKNOWLEDGEMENT

Acknowledge the Project

Data Integration and Analysis System

If you plan to use this dataset for a conference presentation, paper, journal article, or report etc., please include acknowledgments referred to following examples. If the data provider describes examples of acknowledgments, include them as well.

" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset was also collected and provided under the Data Integration and Analysis System (DIAS), which was developed and operated by a project supported by the Ministry of Education, Culture, Sports, Science and Technology. "

REFERENCES

BMRC

Seaman, R. W. Bourke, P. Steinle, T. Hart,, G. Embery, M. Naughton, and L. Rikus, 1995: Evolution of the Bureau of Meteorology's global assimilation and prediction system. Part 1: analysis and initialisation. Aust. Met. Mag., 44, 1-18.

Bourke, W., T. Hart, P. Steinle, R. Seaman, G. Embery, M. Naughton, and L. Rikus, 1995: Evolution of the Bureau of Meteorology global assimilation and prediction system. Part 2: resolution enhancements and case studies. Aust. Met. Mag., 44, 19-40.

CPTEC

Cavalcanti IFA, Marengo JA, Satyamurty P, Nobre CA, Trosnikov I, Bonatti JP, Manzi AO, Tarasova T, Pezzi LP, D'Almeida C, Sampaio G, Castro CC, Sanches MB, Camargo L, 2002: Global climatological features in a simulation using the CPTEC-COLA AGCM. J. Climate, 15(21), 2965-2988

ECPC

Ruane, A.C., and J.O. Roads, 2007: The diurnal cycle of water and energy over the continental United States from three reanalyses. J. Meteor. Soc. Jpn. 85A, 117-143.

ECPC SFM

Kanamitsu, M., A. Kumar, H.-M. H. Juang, W. Wang, F. Yang, J. Schemm, S.-Y. Hong, P. Peng, W. Chen and M. Ji, 2002a: NCEP Dynamical Seasonal Forecast System 2000. Bull. Amer. Met. Soc., 83, 1019-1037.

JMA

Japan Meteorological Agency, 2007: Outline of the operational numerical weather prediction at the Japan Meteorological Agency. Appendix to WMO numerical weather prediction progress report. available on http://www.jma.go.jp/jma/jma-eng/jma-center/nwp/outline-nwp/index.htm

MSC

For the atmospheric model GEM that was used for CEOP

Côté J., S. Gravel, A. Méthot, A. Patoine, M. Roch, and A. Staniforth, 1998a: The operational CMC-MRB global environmental multiscale (GEM) model. Part I: Design considerations and formulation. Mon. Wea. Rev., 126, 1373-1393.

For the particular configuration of the global system that was used for CEOP:

Bélair, S., J. Mailhot, C. Girard, and P. Vaillancourt, 2005: Boundary layer and shallow cumulus clouds in a medium-range forecast of large-scale weather system. Mon. Wea. Rev., 133, 1938-1960.

Bélair, S., M. Roch, A.-M. Leduc, P.A. Vaillancourt, S. Laroche, and J. Mailhot, 2008: Medium-range quantitative precipitation forecasts from Canada's new 33-km deterministic global operational system. Wea. Forecasting (conditionnally accepted, but the revisions required are small).

NCEP_GFS

Global Climate and Weather Modeling Branch, EMC, Camp Springs, Maryland, 2003: The GFS Atmospheric Model. NCEP Office Note 442, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, National Centers for Environmental Prediction, 4700 Silver Hill Road, Mail Stop 9910, Washington D.C. 20233-9910

UK Met Office

Milton SF, Earnshaw P, 2007: Evaluation of surface water and energy >> cycles in the Met Office global NWP model using CEOP data. JMSJ, 85A, >> 43-72

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