Marat Khairoutdinov
· ProfessorStony Brook University · Mathematics
Active 1995–2025
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About
Marat Khairoutdinov is a Professor in the Department of Marine & Atmospheric Sciences at Stony Brook University. His main research goal is to better understand the role of clouds in the Earth climate system through high-resolution cloud modeling. His modeling activities focus on microphysics processes, cloud mixing and entrainment, the life-cycle of boundary layer clouds, drizzle, turbulence, shallow and deep convection, and interactions of clouds with radiation and atmospheric aerosol. Khairoutdinov has been interested in clouds and numerical cloud modeling since his undergraduate and graduate years at Moscow Institute of Physics and Technology in the late 1980s, and gained valuable experience at the Central Aerological Observatory in Moscow, where he developed a numerical model of aircraft dry-ice seeding of orographic clouds using explicit or bin microphysics, as well as a 3-D cloud-resolving model with bulk microphysics. During his Ph.D. studies at the University of Oklahoma, he developed one of the first Large-Eddy Simulation (LES) models with explicit/bin microphysics to study drizzling marine stratocumulus clouds, and created a bulk microphysics parameterization for LES models based on his findings. After earning his Ph.D. in 1997, he redesigned his LES model to handle deep convective clouds, resulting in the development of the System for Atmospheric Modeling (SAM), a cloud-resolving model capable of running on massively parallel computers. SAM has been applied to…
Research topics
- Computer Science
- Climatology
- Meteorology
- Geology
- Environmental science
- Atmospheric sciences
- Geography
- Physics
Selected publications
Journal of Advances in Modeling Earth Systems · 2020 · 200 citations
The Radiative-Convective Equilibrium Model Intercomparison Project (RCEMIP) is an intercomparison of multiple types of numerical models configured in radiative-convective equilibrium (RCE). RCE is an idealization of the tropical atmosphere that has long been used to study basic questions in climate science. Here, we employ RCE to investigate the role that clouds and convective activity play in determining cloud feedbacks, climate sensitivity, the state of convective aggregation, and the equilibr…
Tropical Cyclones in Global Storm-Resolving Models
Journal of the Meteorological Society of Japan Ser II · 2021 · 88 citations
Recent progress in computing and model development has initiated the era of global storm-resolving modeling, and with it the potential to transform weather and climate prediction. Within the general theme of vetting this new class of models, the present study evaluates nine global-storm resolving models in their ability to simulate tropical cyclones (TCs). Results indicate that, broadly speaking, the models produce realistic TCs and remove longstanding issues known from global models such as the…
Global System for Atmospheric Modeling: Model Description and Preliminary Results
Journal of Advances in Modeling Earth Systems · 2022-06-01 · 36 citations
articleOpen access1st authorCorrespondingAbstract The extension of a cloud‐resolving model, the System for Atmospheric Modeling (SAM), to global domains is described. The resulting global model, gSAM, is formulated on a latitude‐longitude grid. It uses an anelastic dynamical core with a single reference profile (as in SAM), but its governing equations differ somewhat from other anelastic models. For quasihydrostatic flows, they are isomorphic to the primitive equations (PE) in pressure coordinates but with the globally uniform referenc…
Atmospheric measurement techniques · 2020-09-15 · 22 citations
articleOpen accessAbstract. The intrinsic small spatial scales and low-reflectivity structure of oceanic warm precipitating clouds suggest that millimeter spaceborne radars are best suited to providing quantitative estimates of cloud and rain liquid water paths (LWPs). This assertion is based on their smaller horizontal footprint; high sensitivities; and a wide dynamic range of path-integrated attenuations associated with warm-rain cells across the millimeter wavelength spectrum, with diverse spectral responses t…
AGU Advances · 2022-03-04 · 21 citations
articleOpen accessAbstract In clouds containing both liquid and ice with temperatures between −3°C and −8°C, liquid droplets collide with large ice crystals, freeze, and shatter, producing a plethora of small ice splinters. This process, known as Hallett‐Mossop rime splintering, and other forms of secondary ice production, can cause clouds to reflect less sunlight and to have shorter lifetimes. We show its impact on Southern Ocean shallow cumuli using a novel suite of five global storm‐resolving simulations, whic…
Recent grants
Frequent coauthors
- 44 shared
Christopher S. Bretherton
Allen Institute for Artificial Intelligence
- 31 shared
David A. Randall
Colorado State University
- 29 shared
Björn Stevens
Max Planck Institute for Meteorology
- 23 shared
Steven K. Krueger
- 22 shared
A. Pier Siebesma
Royal Netherlands Meteorological Institute
- 20 shared
Andreas Chlond
Max Planck Institute for Meteorology
- 17 shared
Peter N. Blossey
Allen Institute for Artificial Intelligence
- 16 shared
H. A. Rand
Max Planck Institute for Meteorology
Education
- 2005
Ph.D., Computational Science
University of Texas at Austin
- 2002
M.S., Computational Science
University of Texas at Austin
- 2000
B.S., Mathematics
University of Texas at Austin
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