92nd American Meteorological Society Annual Meeting (January 22-26, 2012)

Thursday, 26 January 2012: 1:30 PM
From Jet Streams to Monsoons to Hurricanes: 50 Years of Leadership on Using Observations to Inform Model Improvements
Room 252/253 (New Orleans Convention Center )
E. J. Zipser, University of Utah, Salt Lake City, UT; and R. Kakar

We have had close contacts with Professor Krishnamurti in numerous areas of Atmospheric Science over many years. He is best known for his significant contributions to tropical weather prediction. His Ph.D. research at the University of Chicago established him as a force in our science a half-century ago, when he published his ground-breaking analysis of the subtropical jet stream (J. Meteor., Vol. 18, 1961). He published a first paper on tropical numerical weather prediction in 1969 (QJRMS, Vol. 95). This field has since matured and involved several thousand scientists who have published papers towards the advancement of this research area. In a 1999 (Science, Vol. 285) article he pioneered a concept known as the "multimodel superensemble" for weather and climate forecasts. This concept exploits the collective wisdom for many of the complex numerical prediction models and the diverse space and surface based data sets. This synthesis of multimodels has also become a major landmark for weather and seasonal climate forecasts. Professor Krishnamurti has been a strong advocate of the assimilation of satellite based meteorological data in numerical prediction models. He has been a member of the TRMM (Tropical Rainfall Measuring Mission) science team since its inception in the early 1990's and has participated in several NASA sponsored field experiments relating to TRMM and tropical storms and hurricanes. He has been a leader in direct assimilation of rainfall estimates from the Tropical Rainfall Measuring Mission (TRMM) into models and also in using them to derive vertical profiles of latent heating. He was quick to realize that the unique datasets being acquired by research aircraft could be used in model initialization and data assimilation, and helped design and guide the field programs. We will detail his long involvement with TRMM and his direct involvement in a long series of NASA field campaigns.

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