Technical Working Group, II Teruko Manabe Steven Worley Miroslaw Mietus Shawn Smith Simon Tett Volker Wagner Scott Woodruff David Berry Liz Kent.

Slides:



Advertisements
Similar presentations
Use of VOS data in Climate Products Elizabeth Kent and Scott Woodruff National Oceanography Centre, Southampton NOAA Earth System Research Laboratory.
Advertisements

1 GCOS Steering Committee, Geneva. September 29, 2010 The Commission for Climatology and GCOS Thomas C. Peterson President, WMO Commission for Climatology.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
World Meteorological OrganizationIntergovernmental Oceanographic Commission of UNESCO Ship Observations Team ~ integrating and coordinating international.
1 NOAA’S NATIONAL CLIMATIC DATA CENTER – ASHEVILLE, NORTH CAROLINA NCDC Report to US Port Meteorological Officers August 2014 Eric Freeman 1,2, Scott.
National facility concerned with looking after and distributing marine data Part of NOC National Marine Facilities Serve science, education and industry,
Navigating Risk, Challenge and Opportunity Promise of the Arctic, Seattle, WA Drummond Fraser Transport Canada, Marine Safety & Security May 29, 2013.
ICOADS Archive Practices at NCAR JCOMM ETMC-III 9-12 February 2010 Steven Worley.
The Integrated Surface Hourly (ISH) Global Database ESDIM/OGP funded, FCC effort 2 QC phases thus far Full POR online via FTP, partial POR via CDO ISH.
JCOMM Expert Team on Marine Climatology - Task Team on Marine-Meteorological and Oceanographic Summaries (TT-MOCS) Elizabeth Kent National Oceanography.
Surface Marine Data International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Steven Worley, NCAR Scott Woodruff, NOAA/ERSL Eric Freeman, NOAA/NCDC.
1 NODC, Russia GISC & DCPC developers meeting Langen, 29 – 31 March E2EDM technology implementation for WIS GISC development S. Sukhonosov, S. Belov.
Report from the GCOS Archive/Analysis Center Matthew Menne NOAA/National Centers for Environmental Information Center for Weather and Climate (NCEI-Asheville)
AMVERSEAS Status and Plans Francis Bringas NOAA / Atlantic Oceanographic and Meteorological Laboratory (AOML), Miami, FL AMVERSEAS.
JCOMM in situ Observing Platform Support Centre JCOMMOPS
TRENDS IN MARINE WINDS ADJUSTED FOR CHANGES IN OBSERVATION METHOD, Bridget R. Thomas 1, Elizabeth C. Kent 2, Val R. Swail 3 and David I. Berry.
U.S. Surface Archives Sent to China ( ) 7 th PRC-U.S. Joint Coordination Panel for Data and Information Cooperation 29 Nov. – 1 Dec, 2000 Steven.
Session 16: Distribution of Geospatial Data 1 Distribution of Geospatial Data in the Public Environment Hazard Mapping and Modeling.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
Metadata Guides for Smarties Marine Metadata Initiative URL:
CORDEX Scope, or What is CORDEX?  Provide a set of regional climate scenarios (including uncertainties) covering the period , for the majority.
April nd IBTrACS Workshop 1 Operational Procedures How can we build consistent, homogeneous, well- documented climate quality data?
John T. Gunn, AVDS Manager Earth & Space Research 1910 Fairview Ave. E., Suite 210 Seattle, WA Ph: ; 1 st Joint GOSUD/SAMOS.
The Value of Geospatial Metadata Metadata has tremendous value to Individuals within your organization, as well as to individuals outside of your organization.
Coordination Group for Meteorological Satellites - CGMS CEOS SIT Technical Workshop, Darmstadt 16 Sep 2015 Coordination Group for Meteorological Satellites.
IVAD development supported through a grant from the NOAA Climate Program Office. IVAD – Enhancing Marine Climate Data Records Shawn R. Smith 1, Scott D.
Surface Marine Metadata Prepared for 1st meeting of WCRP Working Group on Surface Fluxes Halifax, October 2004.
SAMOS-GOSUD Meeting. Boulder 2-4 May Potential collaboration between the Coriolis project and the Samos initiative L. Petit de la Villéon. Ifremer-France-
IV-3.1 JCOMMOPS SOT Technical Coordinator. 2 JCOMMOPS structure Programmes currently supported –Ship Observations Team (30% Mathieu Belbeoch) –Argo Profiling.
Marine Climatology from Research Vessels Shawn R. Smith 1, Scott D. Woodruff 2, and Steve Worley 3 1 Center for Ocean-Atmospheric Prediction Studies, FSU,
Data Access to Marine Surface Observations and Products from COADS 29 January, 2002 Steven Worley National Center for Atmospheric Research.
M u l t I b e a m III W o r k s h o p M u l t I b e a m III W o r k s h o p National Geophysical Data Center / World Data Centers NOAA Slide 1 End-to-End.
Page 1© Crown copyright Report of the Global Collecting Centres Elanor Gowland, GCC UK SOT-IV, 16 th - 21 st April 2007.
Automated Weather Observations from Ships and Buoys: A Future Resource for Climatologists Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies.
Topics describe the Data Buoy Cooperation Panel (DBCP) –aims, –achievements and –Challenges network status developments of data buoy technology JCOMM.
International Argo structure Argo TC M. Belbeoch Accra, Ghana.
ICOADS: Update Status and Data Distribution Steven J. Worley Scott D. Woodruff Sandra J. Lubker Ziahua Ji J. Eric Freeman NCAR, NOAA/ESRL, NOAA/NCDC CLIMAR-III,
WE Surface-based GOS for Weather January 2008 Up-date.
Guidelines to Port Meteorological Officers By S P Joshi Assistant Meteorologist.
MEDIN Work Plan for By March 2011 MEDIN will be 3 years into the original 5 year development plan started in Would normally ask for continued.
RAINEX Data Management UCAR Joint Office for Science Support José Meitín Jim Moore Dick Dirks UCAR Joint Office for Science Support José Meitín Jim Moore.
Deutscher Wetterdienst Climate Monitoring CCl Expert Team Meeting – Marine Climate Monitoring relevant to WMO / CCl Christiana Lefebvre DWD.
Silver Spring HRMM Workshop April Global Ocean Surface Underway Data project (GOSUD) Theirry Carval – Coriolis Ifremer Bob Keely – MEDS Thierry.
Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative: A Key Component of an Ocean Observing System Shawn R. Smith Center for.
Ocean Analysis and Reanalysis: Phil Arkin, ESSIC, University of Maryland Background Concept and Implementation Issues.
Outcomes of CLIMAR-IV DAVID I. BERRY ETMC-V, 22 – 25 JUNE 2015.
Robert Grumbine National Weather Service RA-IV WIGOS Implementation Workshop (English), December, Willemstad Curaçao United.
Copyright 2010, The World Bank Group. All Rights Reserved. Recommended Tabulations and Dissemination Section B.
© Crown copyright Met Office Upgrading VOS to VOSClim Sarah North.
Marine Surface and Climate Data Gaps in the archives at the National Center for Atmospheric Research for 15 th U.S. – China Marine and Fishery Science.
Global Collecting Centres ETMC-5 Activities of the GCCs Geneva 2015 Activities of the GCCs ETMC-5 22 nd – 25 th June 2015, Geneva, Switzerland.
JCOMM: Perspectives & Contributions 1 Val Swail - Environment Canada, Toronto 2 Scott Woodruff - NOAA Earth System Research Laboratory, Boulder Elizabeth.
I-COADS Data and Products Steven J. Worley Scott D. Woodruff Richard W. Reynolds.
Data Management System to Collect, Quality Control, Distribute, and Archive Near Real-time Marine Data Jeremy J. Rolph, Jacob T. Rettig, Mark A. Bourassa,
REPORT OF RESPONSIBLE MEMBERS – HONG KONG, CHINA Expert Team on Marine Climatology 5th Session Geneva, Switzerland, June 2015.
Report of Responsible Members (RM) Hildrun Otten-Balaccanu (DE), Hing-yim Mok (Hong Kong, CH), Dr G.Krishnakumar (IN), Tomoko Sakama (JP), Jan Rozema (NL),
1. 2 NOAA’s Mission To describe and predict changes in the Earth’s environment. To conserve and manage the Nation’s coastal and marine resources to ensure.
WE Surface-based GOS for Weather May 2008 Up-date.
GOSUD 5 th meeting Boulder, USA 2-4 May, Status GOSUD Meeting 2-4 May, 2006 Review of progress has been extracted from the Annual Report prepared.
2nd Workshop on WIGOS Data Quality Monitoring and Incident Management (Geneva, December 2015) JCOMM Quality Monitoring and the role of JCOMMOPS Etienne.
Implementing the New JCOMM Marine Climate Data System (MCDS)
Monitor & review Implementation of EGOS- IP in RAII
What is JCOMMOPS JCOMMOPS occupies a unique place as the focal point for the practical coordination of the in-situ ocean observing systems defined by JCOMM.
Data Management: Documentation & Metadata
Guidance for managing international precipitation data
GODAE Quality Control Pilot Project
Technical Coordinator - Data Buoy Cooperation Panel
Coding issues BUFR Binary Universal code Form for the Representation of meteorological data Binary Table driven code form (BUFR, CREX) Efficient compression.
JCOMM Submitted by: TT-MOWIS (Doc 03b)
System Reengineering Restructuring or rewriting part or all of a system without changing its functionality Applicable when some (but not all) subsystems.
Presentation transcript:

Technical Working Group, II Teruko Manabe Steven Worley Miroslaw Mietus Shawn Smith Simon Tett Volker Wagner Scott Woodruff David Berry Liz Kent

Introduction / Mission The current digitization and archive rescue taking place around the world are making a significant contribution to the global marine surface data collection. These data are critical for a wide variety of climate studies, model initializations, and verification for remotely sensed measurements. Observations held in collections from meteorological or oceanographic services, navies, and merchant marine sources are all valuable.

Introduction / Mission Every effort should be made to find more digital and non-digital data. All data not included in current archives are important. However, data prior to 1960, data from high southern latitudes, data from inland seas and lakes, and any information specifically from the two world war periods would be especially beneficial. These regions and periods are currently under represented in the archives. Metadata coincident with the observations are very important. Independent metadata regarding instrument types and positions on ships and buoys are essential. Moreover, requirements included metadata describing shipping fleets, observational procedures and methods, and coding schemes.

Recommendations We recommend that data to be selected for digitization are those which add most information to the growing IDATA database. Rescue of data from all aging media is vital to prevent permanent loss of important archives. WMO committees should enhance the search effort by promoting world wide surveys –Appendices attached show the current data sources in IDATA, data sources that are known to be available, and a time series of annual numbers of reports. –Figure x shows the improved decadal station distribution resultant from data rescue and digitization currently in IDATA. Figure y is an example of data to be included and shows the station distribution of the Japanese Whaling Data.

Recommendations We recommend providing access to preliminary or interim data prior to inclusion in IDATA. This will better serve the research community with more current and all available data. –Version and product identification for the following data categories should be added to all data records to clearly distinguish IDATA and its interim products. This information is vital to track which data have been used for research. IDATA Real-time ship and buoy data from GTS Delayed mode data from the Global Collection Centers Newly digitized or rescued digital data –Clear documentation must be posted to advise user of potential duplication and lack of QC in the interim products.

Recommendations We recommend that a new format be used for the interim data and when possible for newly digitized or transcribed data. –This will facilitate data exchanges and decrease the update cycle for IDATA. –The IMMA format being develop under JCOMM is a candidate and should be completely and accurately documented. –Software support in the form of example codes and “frequently asked questions” should be made readily available.

Recommendations We recommend that: the real-time data collection centers (e.g. MO, DWD, NCDC) keep original copies of the GTS data stream, NCDC serve as the source for real-time interim data for IDATA, and a comparison of GTS receipts at these collection centers be made to insure archive integrity. –We recommend a pilot project to compare monthly files and expect one year of archive comparison to be sufficient to insure integrity of a single source for IDATA. –A comparison format is to be determined by mutual agreement, IMMA is a candidate for consideration.

Recommendations Concerning global blended land and ocean surface data sets: We recommend this NOT be part of the technical tasks related to marine surface database development. –Database development should focus on providing quality controlled uniformly formatted marine collections. –Summaries of the observations should be provided as standard products. –Analysis experts are required to create full global analyses

Recommendations We recommend including modern high quality data in IDATA. –Include data at a higher observational frequency than standard synoptic periods, e.g. WOCE surface meteorological archive and data from other past and forthcoming national and international research programs. –Near surface measurements from oceanographic collections received at NODC, e.g. ARGO –Measurements from new automated VOS systems as they become available, e.g. VOSClim, VOS IMET

Recommendations We recommend at least one mirror data site. –The mirror insures IDATA security and safe guards against accidental loss. –The mirror should be located such to facilitate easy distribution worldwide.

Recommendations We recommend continued development and application of new QC techniques and utilization of metadata. –Systematic inclusion of platform metadata should be implemented as a part of IDATA observational records. The adaptive capability of the IMMA format may be suitable. –New time varying statistical QC is required to improve the observational archive. –Cross comparison of observations with advanced analyses could further enhance the detection of outlier data.

Recommendations We recommend continued wide distribution of all data in appropriate formats, and encourage sharing of software to access and analyze the data. We recommend data should be freely available or available at a minimum cost for media.