Recommendations from the High-Resolution Marine Meteorology Workshop

Slides:



Advertisements
Similar presentations
Future Directions and Initiatives in the Use of Remote Sensing for Water Quality.
Advertisements

Use of VOS data in Climate Products Elizabeth Kent and Scott Woodruff National Oceanography Centre, Southampton NOAA Earth System Research Laboratory.
Rolling Deck to Repository: Transforming the United States Academic Fleet Into an Integrated Global Observing System Suzanne M. Carbotte, Robert Arko,
World Meteorological Organization Working together in weather, climate and water WMO Commission for Atmospheric Sciences: Quality Management Framework.
Meteorological Service of Canada – Update Meteorological Service of Canada – Update NOAA Satellite Proving Ground/User-Readiness June 2, 2014 David Bradley.
1 st Joint GOSUD/SAMOS Workshop The Florida State University 1 Sensitivity of Surface Turbulent Fluxes to Observational Errors  or.
2 nd international Conference for GODAR-WESTPAC JODC, Japan Coast Guard, Tokyo 2004.
Climate quality data and datasets from VOS and VOSClim Elizabeth Kent and David Berry National Oceanography Centre, Southampton.
2010 CEOS Field Reflectance Intercomparisons Lessons Learned K. Thome 1, N. Fox 2 1 NASA/GSFC, 2 National Physical Laboratory.
JCOMM Data Buoy Cooperation Panel October 16, 2006 National Data Buoy Center 2006 Review: A Year of Growth Paul F. Moersdorf, PhD, Director.
The role of gliders in sustained observations of the ocean Deliverable 4.1 or WP 4.
Ocean Synthesis and Air-Sea flux evaluation Workshop Global Synthesis and Observations Panel (GSOP) Organized by Lisan Yu, Keith Haines, Tony Lee WHOI,
Comparison of Surface Turbulent Flux Products Paul J. Hughes, Mark A. Bourassa, and Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies & Department.
15-18 October 2002 Greenville, North Carolina Global Terrestrial Observing System GTOS Jeff Tschirley Programme director.
Surface Marine Metadata Prepared for 1st meeting of WCRP Working Group on Surface Fluxes Halifax, October 2004.
Technical Working Group, II Teruko Manabe Steven Worley Miroslaw Mietus Shawn Smith Simon Tett Volker Wagner Scott Woodruff David Berry Liz Kent.
The Science Requirements for Coastal and Marine Spatial Planning Dr. Robert B. Gagosian President and CEO Ocean Studies Board November 10, 2009.
Symposium on multi-hazard early warning systems for integrated disaster risk management A JCOMM perspective Enhanced early warning for better coastal or.
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,
Recommendations from the High-Resolution Marine Meteorology Workshop 3-5 March 2003 Center for Ocean-Atmospheric Prediction Studies Florida State University.
GLOSS Global Sea Level Observing System Bernie Kilonsky University of Hawaii (GLOSS Group of Experts) Thorkild Aarup Intergovernmental Oceanographic Commission.
High-Resolution Climate Data from Research and Volunteer Observing Ships: A Strategic Intercalibration and Quality Assurance Program A Joint ETL/WHOI Initiative.
Automated Weather Observations from Ships and Buoys: A Future Resource for Climatologists Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies.
Future Perspectives of Ocean Observatories in Germany [Name of the infrastructure / site / time series…] Contact person: [name, ] [Institution(s)
Working Group on Surface Fluxes In situ issues Elizabeth Kent National Oceanography Centre, Southampton.
Shipboard Automated Meteorological and Oceanographic System (SAMOS) Initiative: A Key Component of an Ocean Observing System Shawn R. Smith Center for.
The Science Requirements for Coastal and Marine Spatial Planning Dr. Robert B. Gagosian President and CEO September 24, 2009.
Evaluation of the Accuracy of in situ Sources of Surface Flux Observations for Model Validation: Buoys and Research Vessels in the Eastern Pacific C. W.
4th IPWG Workshop Chinese Meteorological Agency, Beijing, China, October, 2008 MAINSTREAMING THE OPERATIONAL USE OF SATELLITE PRECIPITATION DATA.
CryoNet Design Principles draft 3. background From the Abridged Final Report of the 17 th World Meteorological Congress mandates (§ 8.8): “Global Cryosphere.
Data Management System to Collect, Quality Control, Distribute, and Archive Near Real-time Marine Data Jeremy J. Rolph, Jacob T. Rettig, Mark A. Bourassa,
QA4EO in 10 Minutes! A presentation to the 10 th GHRSST Science Team Meeting.
Information on a potential CEOS Sea Surface Temperature Virtual Constellation (SST-VC) Craig Donlon (ESA) Kenneth S. Casey (NOAA) CEOS Plenary, Rio De.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 STAR Enterprise Synthesis.
Incoming Themes for 2017 Frank Kelly, USGS
Autonomous Ocean and Weather Monitoring Systems: Modular Sensors for Oceanographic Research on Platforms of Opportunity I The International.
Ocean Prediction Center
Report on Argo User’s Workshop at INCOIS
SAMOS Data Management System
Strategies for NIS Development
What is a buoy? bu·oy ˈbo͞oē,boi/
Implementing the New JCOMM Marine Climate Data System (MCDS)
NOAA Report on Ocean Parameters - SST Presented to CGMS-43 Working Group 2 session, agenda item 9 Author: Sasha Ignatov.
Multi-year Trends and Event Response
Associate Director for Research, Education and Marine Operations
JCOMM in-situ Observations Programme Support Centre www. jcommops
Document 5.4.1(3) Observing System Design and Evolution
The WMO Rolling Review of Requirements and the OSCAR tools
Validation of Satellite-derived Lake Surface Temperatures
High-Resolution Climate Data from Research and Volunteer Observing Ships: A Strategic Intercalibration and Quality Assurance Program A Joint ETL/WHOI Initiative.
Marine Meteorology Quality Control at the Florida State University
Candyce Clark JCOMM Observations Programme Area Coordinator
IMPROVING GLOBAL FORECASTS OF WEATHER & OCEAN CONDITIONS
Dr Sue Barrell, Australia
Steps towards evaluating the cost-benefit of observing systems
Panel: Bill Large, Bob Weller, Tim Liu, Huug Van den Dool, Glenn White
JCOMM in-situ Observations Programme Support Centre www. jcommops
Prepared by: Jennifer Saleem Arrigo, Program Manager
Contributions to WIGOS David Meldrum, vice chair, JCOMM OCG
WGISS Working Group for Information Systems & Services
The GEO AquaWatch Initiative CEOS “Freshwater from Space” Workshop
Capacity Building Initiatives close related with SOT Activities
Recent activities of OCR-VC
GODAE Quality Control Pilot Project
JCOMM in-situ Observations Programme Support Centre www. jcommops
Drivers of Change Challenges and Consequences
Report from the 9th Meeting of the Ozone Research Managers of the Parties to the Vienna Convention for the Protection of the Ozone Layer Michael J. Kurylo.
JCOMM SOT 8 TT-Training …PMO’s play an important role in all the observing programs of the SOT… Paula M. Rychtar SOT Chair on the Task Team for Training.
AWS Network Requirements Analysis and Network Planning
Presentation transcript:

Recommendations from the High-Resolution Marine Meteorology Workshop 3-5 March 2003 Center for Ocean-Atmospheric Prediction Studies Florida State University Tallahassee, FL USA

Foreword A new initiative is underway to insure routine delivery (real-time and delayed) of calibrated, quality assured, surface meteorological data collected using automated weather system on research vessels, VOS, and additional moored buoys. The initiative resulted from the recommendations of the High-Resolution Marine Meteorology Workshop. Workshop participants noted that high-quality surface observations are ideal for validating model-derived fields (e.g., Smith, S. R., D. M. Legler, and K. V. Verzone, 2001: Quantifying uncertainties in NCEP reanalyses using high quality research vessel observations. J. Climate, 14, 4062-4072.) A need for further collaboration between the in-situ observing and modeling communities was raised by the workshop participants. The recommendations are being presented to the JOSS PSG stimulate interest in this initiative and to open the door for future collaboration. Interested parties are encouraged to talk with James J. O’Brien at the JOSS PSG meeting or to email Shawn R. Smith (smith@coaps.fsu.edu).

Participants Co-chairs: Shawn R. Smith (FSU/COAPS), R. Michael Reynolds (BNL) Sponsor: Michael Johnson (NOAA OGP) Host: James J. O’Brien (FSU/COAPS) CSIRO, Australia Dr. Frank Bradley FSU/COAPS Dr. Mark A. Bourassa Ms. Ruth Pryor FSU/Meteorology Dr. Carol Anne Clayson NOAA/AOML Mr. Steven K. Cook Dr. Rik H.Wanninkhof NOAA/ETL Dr. Christopher W. Fairall NOAA/CDC Mr. Scott Woodruff NOAA/PMEL Mr. Paul Freitag NRL Dr. Jeff Reid OSU/COAS Ms. Linda Fayler SOC, UK Dr. Elizabeth C. Kent UCSD/SIO Mr. Carl Mattson Mr. Woody Sutherland U. Miami/RSMAS Dr. Edward J. Kearns Dr. Peter Minnett U. S. CLIVAR Office Dr. David M. Legler U. S. Coast Guard Dr. Phil McGillivary WHOI Mr. Frank K. Bahr Mr. David S. Hosom Dr. Robert A. Weller

Definitions High-resolution meteorological data Sampling rates 1-60 minutes Collected by continuously recording automated weather station (AWS)

Definitions Platforms of primary interest U. S. sponsored research vessels (R/Vs) Volunteer Observing Ships (VOS) equipped with AWS Operational and Research moorings with AWS

Workshop Objectives Identify science objectives addressable with high-resolution (HR) marine meteorology Provide current status of U. S. sponsored HR marine data collection Identify technical issues related to instrument accuracy, calibration, and inter-calibration Outline a plan to insure routine delivery (real-time and delayed) of calibrated, high quality surface meteorological data consistent with science objectives Determine areas where sustained HR observing system can evolve to meet science objectives in future Identify areas where collaborative and joint activities would increase quantity and quality of data

Where We Are Today U. S. currently supports Dozens of R/Vs (Universities, Navy, Coast Guard, etc.) Initiatives to install AWS on VOS Mooring arrays (e.g., TAO) Network of operational moorings Each vessel/array generally operates independently Data collection, calibration, distribution methods differ Quality control may or may not exist Long term archival lacking in some cases Although R/Vs provide far-reaching platform, they are generally under-utilized for meteorological observations

Issues Need to consider individual platforms (R/Vs, VOS, moorings) as part of a global data system Build partnerships to develop instrumentation, data and communication systems, calibrations methods, etc. Improve data quality A key concern to achieve flux accuracy desired by international climate programs Better calibration methods Uniform metadata Regular evaluation of both instrument systems and data collected Improve data access for research and operations Include data streams not readily available Collect all necessary parameters to estimate quality air-sea fluxes

Recommendations Develop a sustained system of calibrated, quality-assured marine meteorological observations built around the surface flux reference sites, drifting buoys, research vessels (R/Vs), and volunteer observing ships (VOS) to support science objectives of national and international climate programs. Improve global data coverage, especially from important but data sparse regions (e.g., Southern Ocean), by working with and making use of national and international observing efforts, research programs, and infrastructure development initiatives.

Recommendations R/V data currently lacking unified data system Establish a data assembly center (DAC) for U.S. R/V (e.g., UNOLS, NOAA, Navy, Coast Guard) meteorological observations to unify data collection, quality assurance (QA), and distribution. The DAC will also provide for permanent data archiving and long-term availability of data at national archive centers. R/V data currently lacking unified data system Real-time and delayed- mode data from multiple sources would receive common formatting and QA Providers would be notified when problems are detected DAC would provide service to user community and be responsive to user needs

Recommendations Establish standards for sensor calibration and data collection on ships and moorings, including accuracy and resolution, sampling rates and averaging periods, data acquisition and display software, data transmission, recommended instrument siting, and provision of metadata. Standards essential to achieve science goals set by climate initiatives Plan to work with existing programs to set standards (e.g., VOSClim, GOOS) Produce a reference manual of best procedures and practices for the observation and documentation of meteorological parameters in the marine environment. The manual will be maintained online and will be a resource for marine weather system standards. Flexible reference manual essential to disseminate standards, recommendations, and procedures to marine technicians, system designers, and scientists

Recommendations Develop a portable, state-of-the-art, standard instrument suite and implement on-board inter-comparison between the portable standard and shipboard instruments to improve R/V and VOS automated meteorological observations. A big step towards onboard inter-calibration of vessel’s instrumentation System envisioned to include: Flux instrument suite optimally mounted to evaluate ship’s operational system Set of individual standards to be sited next to ship’s instruments for direct sensor-to-sensor comparisons Envisioned to be deployed on vessel for a period of days to weeks System technician will work with R/V technician to evaluate inter- comparison in the field and recommend improvements to R/V AWS

Recommendations Endorse development of robust sensors for use in severe environments to improve data accuracy and allow accurate data to be collected from data sparse regions. Measurements from remote and severe environments (e.g., Southern Ocean) are key to understanding air-sea interactions and are essential to future climate studies. Icing, severe platform motion, large seas all contribute to the challenge. Current technology does not allow adequate sampling in these regions and resources are needed to improve sensor and platform design.

Recommendations Implement a program in computational fluid dynamics (CFD) modeling of the wind flow regime over ships to determine optimal wind sensor siting, wind correction factors, and effective measurement heights. Distortion of air flowing over a ship impacts most atmospheric measurements CFD modeling allows corrections factors to be determined for each vessel CFD models should be run as part of the design process for new research vessel to ensure optimal instrument siting

Recommendations Encourage (i.e. fund) R/Vs to schedule meteorological inter-comparisons with surface flux reference sites and, where appropriate, with one another. TOGA/COARE and EPIC have shown the advantages of inter-comparing observations from ships and buoy Take advantage of repeat hydrographic lines when placing surface flux reference sites Vessels should be encouraged to spend at least one diurnal cycle at reference site With early cruise scheduling, may be possible to have several vessels near reference site for multi-platform inter-calibration

Recommendations Recommend that certain ship data not currently logged be made available to the research crew (e.g., pitch/roll, heading, currents, speed of ship in water). These data should be routinely recorded to improve flux calculations and QA. Many measurements are made with AWS that are not part of standard meteorology report. Where possible, these data should be made available.

Recommendations Encourage funding agencies to require that new shipboard meteorological instrumentation purchased within research grants be installed and operated, and the measurements distributed and archived according to the principles embodied in points 3-6 above. Opportunity to rethink policy, provide funds not only for hardware, but also maintenance and data management. Funding agencies are in a good position to influence data management practices. By setting some requirements on data collected with agency funded instruments, the agency will add value to their investment (in the form of high-quality, user accessible data).

Recommendations Establish sources/contacts where expertise can be obtained by operators and made available for QA development. Technical expertise desired to ensure that sensors are properly installed, sited, and calibrated Sources needed for various parameters to aide the design of QA techniques Resources will be provide and updated using the online manual

Recommendations Strongly encourage funding agencies to support human capital development through education and training. Marine technicians are heavily tasked to maintain oceanographic and atmospheric instrumentation Current shipboard priorities often limit time spent monitoring atmospheric instruments Technicians concerned with the need for improved training related to siting, calibration, and desired accuracy for marine weather systems Marine technicians are on the front lines of data collection, agencies need to invest resources to educate technicians

Benefits Increase access to high-quality, high-resolution marine meteorological data to Anchor surface flux fields Validate new satellite sensors Evaluate numerical ocean and atmosphere models High-quality estimates of fine spatial and temporal resolution variability Critical knowledge for data assimilation Vessels operators and technicians will have access to timely feedback Instrument malfunctions Inadequate placement of instrumentation

Next Steps Disseminate recommendations to scientific, observational, and programmatic communities to build support Seek resources for ocean reference sites, building R/V portable standard instrument suite, and establishing R/V data assembly center. Work with existing programs to establish data collection, calibration, distribution, and archival standards

Full Recommendations Develop a sustained system of calibrated, quality-assured marine meteorological observations built around the surface flux reference sites, drifting buoys, research vessels (R/Vs), and volunteer observing ships (VOS) to support science objectives of national and international climate programs. Improve global data coverage, especially from important but data sparse regions (e.g., Southern Ocean), by working with and making use of national and international observing efforts, research programs, and infrastructure development initiatives. Establish a data assembly center (DAC) for U.S. R/V (e.g., UNOLS, NOAA, Navy, Coast Guard) meteorological observations to unify data collection, quality assurance (QA), and distribution. The DAC will also provide for permanent data archiving and long-term availability of data at national archive centers. Establish standards for sensor calibration and data collection on ships and moorings, including accuracy and resolution, sampling rates and averaging periods, data acquisition and display software, data transmission, recommended instrument siting, and provision of metadata. Produce a reference manual of best procedures and practices for the observation and documentation of meteorological parameters, including radiative and turbulent fluxes, in the marine environment. The manual will be maintained online and will be a resource for marine weather system standards.

Full Recommendations Develop a portable, state-of-the-art, standard instrument suite and implement on-board inter-comparison between the portable standard and shipboard instruments to improve R/V and VOS automated meteorological observations. Endorse development of robust sensors for use in severe environments to improve data accuracy and allow accurate data to be collected from data sparse regions. Implement a program in computational fluid dynamics (CFD) modeling of the wind flow regime over ships to determine optimal wind sensor siting, wind correction factors, and effective measurement heights. Encourage (i.e. fund) R/Vs to schedule meteorological inter-comparisons with surface flux reference sites and, where appropriate, with one another. Recommend that certain ship data not currently logged be made available to the research crew (e.g., pitch/roll, heading, currents, speed of ship in water). These data should be routinely recorded to improve flux calculations and QA. Encourage funding agencies to require that new shipboard meteorological instrumentation purchased within research grants be installed and operated, and the measurements distributed and archived according to the principles embodied in points 3-6 above. Establish sources/contacts where expertise can be obtained by operators and made available for QA development. Strongly encourage funding agencies to support human capital development through education and training.