COSMIC Special Session at the American Meteorological Society Annual Meeting
January 14, 2009
Click Here for the Agenda
13th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface (IOAS-AOLS), 11 - 15 January 2009, Phoenix, Arizona
The 13th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface (IOAS-AOLS), sponsored by the American Meteorological Society will be held 11-15 January 2008, as part of the 89th AMS Annual Meeting in Phoenix, Arizona. Hotel information will be posted to the AMS Web site (http://www.ametsoc.org/meet/annual/) in the spring; registration and general information will be posted starting over the summer; and the preliminary programs will be posted in late-September 2008.
The IOAS-AOLS Symposium recognizes that observing the atmosphere, ocean, and land surface is crucial for understanding the interactions among all three and that assimilation of the observed information into models is crucial for weather and climate monitoring and forecasting. The symposium cuts across several allied disciplines and encourages interaction and collaboration among specialists in each. Papers emphasizing integrating aspects will be given preference, namely: How does a particular observing system mesh with others? What purposes does it serve uniquely? What other systems complement its capabilities? How does it advance environmental understanding, monitoring, and prediction? What assimilation methods ensure that the observational data will be fully exploited in numerical weather prediction models? What can assimilation and prediction systems tell us about the impact of current and future observing systems on forecast accuracy?
Sessions will be organized around the following topics.
- Ocean observations: How does a particular observing system complement other systems and contribute to a viable composite observing system appropriate for the ocean environment? What do the observations tell us about the ocean environment?
- Atmospheric observations, in situ and remote, including from satellites: Advantages and shortcomings compared with other observing systems.
- Land-surface observations, including urban areas: surface characteristics, surface fluxes and their effect on boundary layer depth; applications in public health, transport models, and emergency response.
- Assimilation of observations (ocean, atmosphere, and land surface) into models: assimilation methods; minimization techniques; forward models and their adjoints; incorporation of constraints; error statistics.
- Experiments involving observations, real or hypothetical: data impact tests (sensitivity of forecasts to a particular source of observations); observing system simulation experiments (OSSEs)
- Field experiments: observational results from past field experiments; potential relevance of the field observations to operational prediction.
Please submit your abstract electronically via the Web by 1 August 2008 (refer to the AMS Web page at http://www.ametsoc.org/meet/online_submit.html.) An abstract fee of 90 (payable by credit card or purchase order) is charged at the time of submission (refundable only if abstract is not accepted).
Authors of accepted presentations will be notified (via e-mail) by late-September 2008. All extended abstracts are to be submitted electronically and will be available on-line via the Web, Instructions for formatting extended abstracts will be posted on the AMS Web site. Manuscripts (up to 3MB) must be submitted electronically by 7 January 2009. All abstracts, extended abstracts and presentations will be available on the AMS Web site at no cost.
For additional information please contact the program chairpersons, Robert Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory, 4301 Rickenbacker Causeway, Miami FL 33149 (tel: 305-361-4300; email Robert.email@example.com) or Eugenia Kalnay, Department of Atmospheric and Oceanic Science, University of Maryland, 3431 CSS Building, College Park, MD, 20742-2425 (tel: 301-405-5370/5391; email: firstname.lastname@example.org). (2/08)