17th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface (IOAS-AOLS)
View by day or program, includes author index and personal scheduler
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 with the general meeting theme of advancing prediction will be given preference. For example: What purposes does a particular observing system serve uniquely to improve prediction? What other systems complement its capabilities in this context? How does an observing system or systems advance environmental understanding, monitoring, and prediction? What assimilation methods ensure that the observational data will be fully exploited in numerical 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: 1) Atmospheric and oceanic observations, in situ and remote: Advantages and shortcomings compared with other observing systems, and their influences on global and regional prediction. 2) Assimilation of observations (ocean, atmosphere, and land surface) into models; assimilation methods; minimization techniques; forward models and their adjoints; incorporation of constraints; error statistics; 3) Experiments involving observations, real or hypothetical: data impact tests (sensitivity of forecasts to a particular source of observations); observing system simulation experiments (OSSEs); 4) Application of the above technologies and concepts for severe weather and hurricane prediction; 5) Accelerating the transition from research to operations on use of assimilated data; 6) New uses of observations by operational forecasters; and 7) Field experiments: observational results from past field experiments; potential relevance of the field observations to operational prediction.
For additional information please contact the program chairpersons, Dr. Robert Atlas, NOAA Atlantic Oceanographic and Meteorological Laboratory, 4301 Rickenbacker Causeway, Miami FL 33149 (tel: 305-361-4300; email Robert.email@example.com); Prof. Sharanya Majumdar, RSMAS Division of Meteorology and Physical Oceanography, University of Miami, 4300 Rickenbacker Causeway, Miami FL 33149 (tel: 305-421-4779; email firstname.lastname@example.org); or Kenneth Carey, Earth Resources Technology (ERT, Inc.), 6100 Frost Place, Suite A, Laurel, MD 20707 (tel: 301-361-0626; email email@example.com)