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Kuo-Nan Liou

Researcher at University of California, Los Angeles

Publications -  289
Citations -  20734

Kuo-Nan Liou is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Radiative transfer & Cirrus. The author has an hindex of 62, co-authored 289 publications receiving 19025 citations. Previous affiliations of Kuo-Nan Liou include Goddard Institute for Space Studies & University of Utah.

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Modeling Study of the Air Quality Impact of Record-Breaking Southern California Wildfires in December 2017.

TL;DR: Investigation of the air quality impact of record-breaking wildfires in Southern California during 5-18 December 2017 using the Weather Research and Forecasting model with Chemistry in combination with satellite and surface observations reveals that using a high spatial resolution for fire emissions and a reasonable treatment of plume rise is important for achieving decent PM2.5 simulation results.
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Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model

TL;DR: In this paper, the authors estimate black carbon (BC) emissions in the western United States for July-September 2006 by inverting surface BC concentrations from the Interagency Monitoring of Protected Visual Environments (IMPROVE) network using a global chemical transport model and its adjoint.
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Cirrus cloud top temperatures retrieved from radiances in the National Polar-Orbiting Operational Environmental Satellite System--Visible Infrared Imager Radiometer Suite 8.55 and 12.0 μm bandpasses

TL;DR: Based upon initial results, the new approach to retrieve improved VIIRS cloud top properties has been incorporated into the ground-based data processing segment of the NPOESS system where prelaunch testing of all VIIRS algorithms continues.
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A Numerical Experiment on the Interactions of Radiation, Clouds and Dynamic Processes in a General Circulation Model

TL;DR: In this paper, the physical interactions of radiation, cloud formation and dynamic processes are investigated utilizing a general circulation model designed for short and medium range prediction, which is a seven-level spectral model in the σ coordinate system for the Northern Hemisphere with the generation of clouds in four σ layers through the predicted relative humidity field.