PPT-Metadata and Associated Tools for the 5th Coupled Model

Author : min-jolicoeur | Published Date : 2018-10-29

Intercomparison Project Sarah Callaghan British Atmospheric Data Center Sylvia Murphy NOAACIRES CISL Seminar August 29 th National Center for Atmospheric Research

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Metadata and Associated Tools for the 5th Coupled Model: Transcript


Intercomparison Project Sarah Callaghan British Atmospheric Data Center Sylvia Murphy NOAACIRES CISL Seminar August 29 th National Center for Atmospheric Research Boulder CO CMIP5 Metadata and the Metafor project . Building an idealised coupled system. Polly Smith, Amos . Lawless, Alison Fowler*. School of Mathematical and Physical Sciences, University of Reading, UK. * funded by NERC. Outline. Recap. objectives. Michele . Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. WMO CAS Workshop. Sub-seasonal to Seasonal Prediction. Met Office, Exeter. 1 to 3 December 2010 . 2. What do we mean by “coupled data assimilation”?. isopycnic. grids. Rainer Bleck, Shan Sun, . Haiqin. Li, Stan Benjamin. NOAA Earth System Research Laboratory. Boulder, Colorado. April 2016. Design . goals. :. (some reached, some pending). Global domain. m. Simon Flower. Jürgen Matzka. Geomagnetic Observatory Metadata:. What we record. 180 active, 360 inactive observatories. 200 contacts in 125 institutions. Many instruments creating thousands of data sets. Working Group . Report at OCLCRLP Update, ARLIS/NA Annual Conference, New Orleans, February 8, 2017. Deborah Kempe, WAM WG member. THE . IMPERATIVE. “It is far easier to find an example of a film from 1924 than a website from 1994.”. Work package 17 - IT & DM:. . Metadata . Management and Data Continuum. Objectives:. choose, implement data management and metadata mining services and. establish . an environment permitting a data continuum from raw data to publications across the . calls. CW2015. Kristian. S. . Mogensen. Marine Prediction . Section. k.mogensen@ecmwf.int. Overview of talk:. Baseline:. The focus of this talk is going to be on coupling of IFS and WAM to NEMO. Motivation. 1. Saha-UMAC-09Aug2016. Atmosphere. , Land, Ocean, . Seaice. , Wave, . Chemistry, . Ionosphere. Data Assimilation cycle. Analysis frequency H. ourly. Forecast length . 9 . hours. Resolution . 10 . DEMO 1. MOHD ALIFF FAIZ BIN JEFFRY. A13CS0186. SUPERVISOR : HAZINAH KUTTY . MAMMI. Tuesday, 21 March 2017. CONTENT. Sub-experiment. Purpose. Research question. Experiment . Conducting the experiment. Brandon Kerns*, . Shuyi. S. Chen, . Chiaying. Lee, and . Falko. . Judt. RSMAS/University of Miami. I. nterdepartmental . H. urricane . C. onference Miami, Florida 28 February – 3 March 2011 . Asynchronous I/O. Navy ESPC (global coupled model). COAMPS (regional coupled model). Radiative transfer model (experimental). [New] NEPTUNE (global atmosphere). [New] NAAPS/aerosol model. Space Science Division . Participationin COREs(Coordinated Ocean-ice Coupled OceanCoupled Ocean--Ice Models Ice Models within the CSM Frameworkwithin the CSM Framework -HYCOM PanAm2.1 (hybri-Normally 2-26 vertical layers-CI In 2003, the U.S. Department of Energy (DOE) set up seven regional partnerships across the North American Region to study the technologies and strategies of CO. 2. sequestration and CO. 2. enhanced oil recovery (EOR). . Polly Smith, Alison . Fowler & Amos . Lawless. School of Mathematical and Physical . Sciences, . University of . Reading, UK.. Introduction (1). Typically, . initial conditions for coupled atmosphere-ocean model forecasts .

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