Bob Kuligowski

Satellite Meteorology and Climatology Division

Environmental Monitoring Branch
Research Scientist

Publications

To view Dr. Kuligowski's publications, visit:

ResearcherID:

C-6981-2009

ORCID:

0000-0002-6909-2252

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Bob Kuligowski photo Bob Kuligowski has been at NOAA/NESDIS STAR since November 1999 and has a Ph.D. from Penn State University. His work focuses on estimating precipitation with very short latencies to support applications such as flash flood forecasting that require timely information. He is the primary developer of the operational NESDIS Enterprise Rainfall Rate algorithm which produces real-time estimates of rainfall for the entire globe from 60°S to 70°N with a latency of under half an hour using geostationary infrared data. In addition to continuing to refine the current algorithm, he is currently working on a next-generation algorithm that will use more sophisticated machine learning techniques to improve accuracy.

Algorithm Development:

Developed the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) / Enterprise Rain Rate, which retrieves rain rate estimates using infrared data from geostationary satellites for flash flood applications; calibration is automatically updated in real time using microwave- based rainfall rate estimates as target data.
Improving Ensemble Tropical Rainfall Potential (eTRaP), which predicts 0-24h rainfall for tropical systems by extrapolating satellite-estimated rainfall along the official forecast storm track for an ensemble of satellite sensors and forecast tracks. Additional sensors are being added to the ensemble, and the orographic correction from the Rainfall Climatology and Persistence (R-CLIPER) model is also being added to the ensemble members.

Validation:

Developed an automated Web page for validating STAR's satellite-based estimates of rainfall. This page includes regional validation statistics against rain gauge and Stage IV/MPE (radar/rain gauge) data and an archive of digital data that has found a number of research users.

International Collaboration:

Collaborating with the Hydrologic Research Center to provide satellite-derived rainfall rates as input to a Global Flash Flood Guidance system which provides forecasts of flash flood potential.

E-mail: vog.aaon@ikswogiluK.boB