● Institution Contacts Prof. Minghua Zhang, ITPA Stony Brook University

1. New York Blue Climate Science SUMMARY New York Blue Climate Science is a climate science virtual institute that uses New York Blue to address challenges in understanding the atmospheric and oceanic processes that effect weather and climate. We are one of the six major areas engaged in research using NY Blue. Collaborative efforts are led by scientists from: ● Institute for Terrestrial and Planetary Atmospheres (ITPA) Stony Brook University (SBU) ● Atmospheric Sciences Division (ASD) Brookhaven National Laboratory (BNL) APPROACH We seek new approaches in modeling and data integration to address climate science challenges through a marriage of complementary strengths at ITPA and ASD: ● The numerical weather prediction and climate modeling at ITPA/SBU, ● Process-oriented studies at ASD/BNL that are based on cloud radar, satellite remote sensing, and in situ aircraft data. • NY Blue Climate Science Models • ITPA and ASD scientists research atmospheric and oceanic processes (below) that operate at multiple scales, and involve a range of disciplines that benefit from high-performance computing. • Above are the typical model domains (left), with the associated model classes (right), and model names (right) that are being ported to NY Blue (many of them community models). • Note that, as computer power increases, boundaries between model classes become blurred. For example, WRF is typically used for “regional” simulations, but now its domain can be expanded to be hemispheric for short-duration runs. • Model Names & Acronyms • ATHAM Active Tracer High-resolution Atmospheric Model • CAM Community Atmosphere Mode (NCAR) • CAM/MMF CAM/Multi-scale-Modeling Framework • CCSM Community Climate System Model (NCAR) • GCE Goddard Cumulus Ensemble Model • POP The Parallel Ocean Program (NCAR/LANL) • SAM System for Atmospheric Modeling • WRF Weather Research and Forecasting Model • WRF/Chem WRF Chemistry • Data Infusion into NY Blue Modeling • The modeling will be guided by new approaches in data analysis that will help develop and improve the simulations. Research areas include: • •Ensemble Modeling, •Data Assimilation, and • •Radar and Satellite Strategies. • The figure (left) summarizes one opportunity, by exploiting underutilized and/or emerging radar and satellite technologies. The resolutions of climate models (bottom axis) have improved the to point where they can run at scales comparable to the DOE-ARM cloud radar observations (middle axis) and EOS satellite data (top), both of which have been building extensive, valuable datasets over the last 15-20 years. With the high-resolution simulations, these datasets are ripe for integrated surface-satellite analysis with the models. • FURTHER INFORMATION • General Information: //wiki.bnl.gov/bg_climate_science • POINTS OF CONTACT • ● Research • Investigators listed at right, and • under “Investigator Contacts” on • the Climate Science Wiki (above). • ● Educational Opportunities • Contact: Gina Gartin, ITPA • Stony Brook University • ggartin@notes.cc.sunysb.edu • ● Institution Contacts • Prof. Minghua Zhang, ITPA • Stony Brook University • Minghua.Zhang@stonybrook.edu • Dr. Andrew Vogelmann, ASD • Brookhaven National Laboratory • vogelmann@bnl.gov • RESEARCH • Since NY Blue became operational at the end of the summer, 2007, several efforts have begun as models are ported and tested on NY Blue: • ● WRF Nature Run. Simulations conducted on NY Blue are presented at this conference, see paper by John Michalakes, J. Hacker, R. Loft, M. McCracken, A. Snavely, N. Wright, T. Spelce, B. Gorda, & R. Walkup on 14 November in the session for “Gordon Bell Finalists.” • ● Mesoscale Weather Prediction and Research, conducted using WRF. • Lead: Brian Colle, ITPA/SBU (colle@cyclone.msrc.sunysb.edu) • ● Interactions of Tropical Aerosols, Convection & Climate, examined using WRF and WRF/Chem. Research is conducted by a BNL-SBU co-Investigator team. Lead: Andrew Vogelmann, ASD/BNL(vogelmann@bnl.gov) • ● Aerosol Indirect Effects in Marine Boundary Layer Clouds, using large eddy simulations with the Goddard Cumulus Ensemble Model. Lead: Huan Guo and Yangang Liu, ASD/BNL (hguo@bnl.gov, lyg@bnl.gov) • ● Multi-scale Modeling of Climate Variability and Regional Climate Change under Global Warming, conducted with the CCSM and its component models for the atmosphere and ocean (CAM and POP). Lead: Minghua Zhang, ITPA/SBU (Minghua.Zhang@stonybrook.edu) TAKE ONE!