Komurcu et al., 2018
Snapshots of Heat Index in NE US at various years from my 3km resolution simulations
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Northeastern U.S.
I used Weather Research and Forecasting Model with three nested domains (27-9-3km) and a convection resolving approach to obtain climate variables at 3 km horizontal resolution saved at hourly intervals for three time slices (2006-2020, 2040-2060, 2080-2100). I used a unique WRF model setup and obtain improved historical precipitation rates and temperatures. The resulting climate dataset (~2 Petabytes, 3 km horizontal resolution climate projections, including more than 200 climate variables saved hourly for 65 years are available for public use). See Komurcu et al., 2018 for details, i.e. comparison with historical observations and reanalysis; CESM vs. WRF projections. Check out the Climate Projections tab above to see projected changes for the Northeastern U.S. I completed all simulations on NCAR's Yellowstone High Performance Computing System utilizing a 12 million core hour allocation granted to me for this work. |
Komurcu et al., 2014, JGR Atmospheres
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Global Modeling of
Clouds and Aerosol Indirect Effects While general circulation models (GCMs) are widely used to project future changes in climate, there are significant disagreements in simulated cloud phase (ice vs. liquid) among different models. Clouds affect the energy at the Earth's surface, warming/ cooling rates of the surface and this radiative influence depends on the phase of the clouds (and number concentration and size of the cloud particles in each phase).
I led the FIRST inter-comparison of cloud water phase among different GCMs. We found that simulated cloud liquid is under-predicted compared to satellite retrievals. Based on sensitivity tests, results of this work show that cloud microphysics parameterizations affecting phase (ice vs liquid) of the cloud particles (i.e. growth and fall out rates of particles) need to be improved. |
Copyright Muge Komurcu
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LES Modeling of Surface Fluxes -Aeorosol-Boundary Layer-Cloud Interactions in
Arctic Mixed-Phase Clouds I studied interactions between cloud microphysics and dynamics lead to persistent clouds in the Arctic that can last for several days and affect the radiation reaching the surface (hence potentially affecting the recovery/melting of the underlying sea ice surface, in turn the regional climate).
During transition seasons, Arctic clouds can be of mixed phase (cloud particles are composed of both ice and liquid phases, and both phases coexist). I investigated the interactions between cloud microphysics and cloud dynamics that lead to persistent clouds in the Arctic using large eddy simulation modeling and sensitivity tests on ice nuclei concentrations, ice formation mechanisms, growth and precipitation rates of ice crystals. |
Wind Driven Optimization (WDO) Algorithm
During my doctoral studies, I collaborated with Penn State researchers to develop a novel nature inspired optimization algorithm, the wind driven optimization algorithm. Since then we developed new versions of the algorithm for different applications and published multiple highly cited papers. Three versions of our WDO algorithm are:
1) Classical WDO 2) Adaptive WDO 3) Multiobjective WDO For more information on the WDO algorithm, publications on the WDO, and the WDO source codes that we are providing in various different languages, please visit: www.thewdo.com |
Komurcu 2004
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Characterizing pollutant emission sources, pollutant transport via atmospheric advection is essential for Turkey to comply with the European Union directives on pollutant emissions and legal limit pollutant concentrations. This study provides a categorization of pollutant sources and their transport in Turkey utilizing various observational sites measuring different pollutant concentrations.
Selected Publications: (Please see publications tab above for more publications/presentations on this research).
Muge Komurcu, 2004, Bachelor's Thesis, Characterization of Pollutant Sources in Istanbul using PM10 and EU Directives. Kadir Alp and Muge Komurcu, Characterization of Pollutant Sources in Istanbul with PM10 and EU Directives, International Journal of Environment and Pollution, 2009, Volume 39, No.3/4, pp.204-212. |
Simulating Extreme Precipitation/Flood Events in Istanbul
Using the Mesoscale Meteorological Model (MM5), older generation of WRF, I studied effects of lateral boundaries and horizontal resolution on simulating flood events in Istanbul. Heavy precipitation events in Istanbul produce costly damages to houses, businesses and infrastructure and are are challenging to simulate/predict because the events are highly localized due to varying steepness of the local topography and the circulations affecting the Bosphorus region.
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