Cloud Processes Research Group

Susan C. van den Heever

Monfort Professor

Who we are

Hello and welcome to the homepage of Professor Sue van den Heever's research group. Our research focuses on cloud processes, specifically the microphysical and dynamical characteristics of deep convective cloud systems, aerosol-cloud feedbacks, convective organization and the representation of these processes in numerical models. More detailed information on the scientific questions we are currently addressing can be found on our research webpage and from our publications publications. We use numerical models to achieve our scientific goals, in particular the open source Regional Atmospheric Modeling System (RAMS) that is now developed and maintained by the van den Heever research group. We also utilize satellite and radar data to conduct our research, and numerous members of our research group have participated in a number of field campaigns. Our group, together with students from the Schumacher, Schubert, Rasmussen and Rutledge groups, recently completed C3LOUD-Ex, a field campaign to investigate updraft and cold pool characteristics of convective storms over NE Colorado. The field campaign utilized drones, radiosondes and radar data from the CSU-CHILL facility to address the campaign science goals and was recently described in the Colorado State University Magazine and on SOURCE.

Recent News


October 12: Congratulations to Sue for being elected as Secretary of Physics, Dynamics, and Climate for the American Geophysical Union Atmospheric Sciences section for 2019-2020. Sue will begin her term in December at the AGU annual meeting. More information can be found on the department website here.

October 11: Congratulations to Sean for defending his Masters thesis entitled "Assessing the Impacts of Microphysical and Environmental Controls on Simulated Supercell Storms".

September 6: Ben leaves for Palau to participate in the Propagation of Intra-Seasonal Oscillations field campaign. While on the campaign, Ben will be aboard the R/V Roger Revelle in the Pacific Ocean launching soundings from the ship. The goals of the PISTON campaign are to examine the roles of localized features in influencing large-scale intraseasonal oscillations and examining variability in intraseasonal oscillations. More information can be found on the PISTON website.

Sean at ASP Summer Colloquium 2018: As part of the program, Sean visited the NEON instruments atop Niwot Ridge. Pictured here is Sean at 11,500 ft in front of an instrumented tower

August 21: Yasutaka Murakami joins our group as a MS student. He joins us from the Japanese Meteorological Agency and is co-advised by Chris Kummerow. Welcome Yasutaka!

August 10: Congratulations to Jennie, Leah, and Peter for being on the CSU Atmospheric Cyclists Bike to Work challenge team, which won the Bike to Work challenge this summer! Jennie, Leah, and Peter joined 38 others from the Department of Atmospheric Science and CIRA to bike 7,367 miles this summer. More information can be found on the department website here.

August 6: Alex Sokolowsky joins our group as a PhD student. He joins us from Pennsylvania State University, where he received his MS. Welcome Alex!

July 14-20 Minnie participates in the Second Department of Energy Advanced Radiation Measurement Summer Training and Science Applications event on Observations and Modeling of Clouds and Precipitation. Minnie spent the week working as part of the "Boundary Layer Cloud Group" investigating "Boundary Layer Structure during Different Cloud Conditions at the ARM Eastern North Atlantic Site". More information about the program can be found here.

July 9-13 Sean and Peter present at the 2018 American Meteorological Society Cloud Physics and Radiation Conference in Vancouver, BC, Canada.

June 4-15 Sean participates in this year's NCAR Advanced Study Program Summer Colloquium, entitled "Synthesis of Observations and Models in Studies of Shallow and Deep Clouds". Sean spent the two weeks learning and understanding how to use data from the CSET aircraft field campaign and comparing that data to CAM6.

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What we do