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Bob Kuligowski

Satellite Meteorology and Climatology Division

Environmental Monitoring Branch
Research Scientist

SMCD shield

Bob Kuligowski photoBob Kuligowski received a B.S. degree in Meteorology from Penn State University in 1991. Following three years as an operational weather forecaster at Accu-Weather, Inc., he returned to Penn State for graduate work, receiving his M.S. in Meteorology in 1996. To enhance his background in hydrology, he then switched to the Department of Civil and Environmental Engineering at Penn State for his Ph.D., which was completed in 2000. His primary research interest is in estimating and predicting precipitation, as evidenced by his Master's work on using artificial neural networks to predict short-term precipitation from recent observations, and his Ph.D. work on assimilating satellite-based sounding estimates into a mesoscale numerical weather prediction model to improve fine-scale precipitation forecasts.

Bob joined NESDIS in November 1999. Since then, his research has pursued numerous avenues related to satellite-based precipitation estimates:

Algorithm Development. Bob has developed the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR), which uses a combination of GOES-based variables and Eta model predictors to produce precipitation estimates, using microwave-based estimates from the SSM/I, AMSU, and TRMM to calibrate the estimates. Details are found in Kuligowski (2002) and additional information will be presented in an upcoming paper.

Algorithm Validation. Since April 2001, NESDIS personnel have archived precipitation estimates from six different algorithms and have performed quarterly intercomparison studies. An automated statistical evaluation is under development and can be found here.

Rain Rate Assimilation. Work has been performed by NESDIS and EMC personnel to assimilation SSM/I-based rain rate estimates into the NCEP Global Data Assimilation System (GDAS). Additional work in assimilating Hydro-Estimator precipitation estimates into the Eta Data Assimilation System (EDAS) is forthcoming.

Bob also was involved with the International H2O Project (IHOP_2002) as a field forecaster and in providing GOES-11 data for the project.

Most Recent Publications

Scofield, R., and R. J. Kuligowski, 2007: Satellite Precipitation Algorithms for Extreme Precipitation Events. Measuring Precipitation from Space – EURAINSAT and the Future (eds. V. Levizzani, P. Bauer, and F. J. Turk), Springer Publishing, pp. 485-496.

Tuleya, R. E., M. DeMaria, and R. J. Kuligowski, 2007: Evaluation of GFDL model rainfall forecasts for U.S. landfalling tropical storms. Wea. Forecasting, 22, 56-70.

Vasiloff, S. V., D.-.J. Seo, K. W. Howard, J. Zhang, D. H. Kitzmiller, M. G. Mullusky, W. F. Krajewski, E. A. Brandes, R. M. Rabin, D. S. Berkowitz, H. E. Brooks, J. A. McGinley, R. J. Kuligowski, and B. G. Brown, 2007: Improving QPE and very short term QPF: An initiative for a community-wide integrated approach. Bull. Amer. Meteor. Soc., 88, 1899-1911.

Ferraro, R., P. Pellegrino, M. Turk, W. Chen, S. Qiu, R. Kuligowski, S. Kusselson, A. Irving, S. Kidder, and J. Knaff, 2005: The Tropical Rainfall Potential (TRaP) Technique. Part 2: Validation. Wea. Forecasting, 20, 465-475.

Kidder, S. Q., S. J. Kusselson, J. A. Knaff, R. R. Ferraro, R. J. Kuligowski, and M. Turk, 2005: The Tropical Rainfall Potential (TRaP) Technique. Part 1: Description and examples. Wea. Forecasting, 20, 456-464.

Market, P., S. Allen, R. Scofield, R. Kuligowski, and A. Gruber, 2003: Precipitation efficiency of warm-season midwestern mesoscale convective systems. Wea. Forecasting, 18, 1273-1285.

Scofield, R. A., and R. J. Kuligowski, 2003: Status and outlook of operational satellite precipitation algorithms for extreme precipitation events. Wea. Forecasting, 18, 1037-1051.

Vila, D. A., R. A. Scofield, R. J. Kuligowski, and J. C. Davenport, 2003: Satellite rainfall estimation over South America: Evaluation of two major events. NOAA Tech. Rept. NESDIS 114, 17 pp.


E-mail: vog.aaon@ikswogiluK.boB