Larry Di Girolamo
University of Illinois at Urbana-Champaign
Jan 2021 - Jun 2021
Feb 2019 - Dec 2019
Aug 2016 - Jun 2018
May 2013 - May 2014
Yi Wang: Seasonal Bias of Retrieved Ice Cloud Optical Properties Based on MISR and MODIS Measurements
American Geophysical Union (AGU) Fall 2017 Meeting; New Orleans, Louisiana, U.S.A., Dec 13, 2017
Dongwei Fu: The Observed Behavior of the Bias in MODIS-retrieved Cloud Droplet Effective Radius through MISR-MODIS Data Fusion
American Geophysical Union (AGU) Fall 2017 Meeting; New Orleans, Louisiana, U.S.A., Dec 12, 2017
American Geophysical Union (AGU) Fall 2017 Meeting; New Orleans, Louisiana, U.S.A., Dec 11, 2017
Blue Waters Symposium 2016, Jun 13, 2016
Blue Waters Symposium 2015, May 12, 2015
University of Illinois Atmospheric Sciences Colloquia Series, Apr 1, 2015
Alexandra Jones and L. Di Girolamo: A New Spectrally Integrating 3D Monte Carlo Radiative Transfer Model
American Meteorological Society 14th Conference on Atmospheric Radiation; Boston, Massachusetts, U.S.A., Jul 10, 2014
Larry Di Girolamo: New Advances in Cloud Modeling: How 3D Radiation Impacts Cloud Dynamics and Properties
Blue Waters Symposium 2014, May 13, 2014
Dec 15, 2017
Researchers are using the Blue Waters supercomputer at NCSA to process new data from NASA’s Terra Satellite. Approximately the size of a small school bus, the Terra satellite explores the connections between Earth’s atmosphere, land, snow and ice, ocean, and energy balance to understand Earth’s climate and climate change and to map the impact of human activity and natural disasters on communities and ecosystems.
May 11, 2015
Fourteen faculty members at the University of Illinois at Urbana-Champaign have been selected to receive one-year fellowships that will enable their research teams to pursue collaborative projects with the National Center for Supercomputing Applications. NCSA's fellowship program aims to catalyze and develop long-term collaborations between the center and campus researchers, particularly in the center's six thematic areas of research: Bioinformatics and Health Sciences, Computing and Data Sciences, Culture and Society, Earth and Environment, Materials and Manufacturing, and Physics and Astronomy.
Jun 9, 2014
So while we're not able to control the weather, better forecasting will allow us to make more informed plans that can limit financial losses, provide new business opportunities, reduce government spending, and even save lives. Unfortunately, improving our ability to predict the weather is challenging, both scientifically and computationally. Supercomputing has played a major role in enabling predictive models since the 1950s and remains at the cornerstone of today's weather and climate modeling. Constantly improving computational capabilities have allowed scientists and forecasters to produce results faster than ever while also investigating increasingly complex phenomena and producing specialized forecast products. From model performance to system and data management, weather prediction presents unique high-performance computing challenges.
Feb 4, 2014
Twelve University of Illinois faculty members from a range of fields have been selected as Blue Waters Professors, an honor that comes with substantial computing and data resources on the Blue Waters supercomputer at the university’s National Center for Supercomputing Applications (NCSA).
Jun 11, 2013
The University of Illinois at Urbana-Champaign has awarded access to the Blue Waters supercomputer—which is capable of performing quadrillions of calculations every second and of working with quadrillions of bytes of data—to 22 campus research teams from a wide range of disciplines. The computing and data capabilities of Blue Waters, which is operated by the National Center for Supercomputing Applications (NCSA), will assist researchers in their work on understanding DNA, developing biofuels, simulating climate, and more.
- Satellite remote sensing and 3-D radiative transfer modeling for improved weather and climate predictions (DiGirolamoBWprofAnnualReport_0118.pdf)
- Satellite remote sensing and 3-D radiative transfer modeling for improved weather and climate predictions (2017) (DiGirolamoBWprofAnnualReport_0117.pdf)
- 3-D radiative transfer modeling for improved weather and climate predictions and satellite remote sensing of the cloudy atmosphere (2016) (DiGirolamoBWprofAnnualReport_01_16.pdf)
- 3-D Radiative Transfer Model Coupled to The Weather Research and Forecasting Model (2015) (DiGirolamoBWprofAnnualReport.pdf)
- Satellite remote sensing and 3D radiative transfer modeling for improved weather and climate predictions (2019) (DiGirolamoBWprofAnnualReport_0119.pdf)