Faculty
Xiaoqing Wu
Associate Professor
Cloud and Climate System Modeling
3011 Agronomy
Dept. of Geological and Atmospheric Sciences
Iowa State University
Ames, IA 50011
515-294-9872
Email: wuxq@iastate.edu
Education
Ph.D. UCLA , 1992
M.S. Institute of Atmospheric Physics, Chinese Academy of Sciences,
1986
B.S. Hangzhou University, 1983
Research
My research interests include diagnostic, theoretical, and
numerical modeling studies to understand fundamental physical processes
of convection-cloud-radiation interaction and improve their representation
in general circulation models (GCMs) for predicting future climate.
Studying and modeling of clouds are motivated by the profound effects
of clouds on the global radiation budget and surface temperature,
and the need for improved climate models and data for policy makers
to determine safe levels of greenhouse gases for the Earth system.
Convection and clouds affect atmospheric temperature, moisture and
wind through the heat of condensation and evaporation and through
redistributions of heat, moisture and momentum. Clouds strongly affect
the planetary energy budget and surface temperature through the reflection
of sunlight, the absorption of infrared radiation from the surface
and the emission of radiation to the surface as part of greenhouse
effect. Since individual clouds have a spatial scale of less than
10 km that is much smaller than the conventional grid size of several
hundred kilometers in climate and weather prediction models, they
must be quantitatively formulated in terms of resolved variables in
the prognostic equations of temperature, moisture and wind. Deriving
such formulations for convection and clouds has been a major challenge
for the climate modeling community due to the lack of observations
of cloud and microphysical properties. To address this problem, my
collaborators at NCAR and I have developed a cloud-resolving model
(CRM) which resolves individual clouds but covers a large horizontal
domain to generate cloud-scale datasets. The diagnostic and theoretical
studies applying the high-resolution datasets generated by the CRM
have lead to the improved representation of convection and cloud-radiation
interaction in the climate models.
Research Projects
Wu, X., and X.-Z. Liang (Co-PI), 2002-2006: Application of Seasonal
CRM Integrations to Develop Statistics and Improved GCM Parameterization
of Subgrid Cloud-Radiation Interactions. DOE/ARM.
Wu, X., G.J. Zhang (Co-PI), and R.W. Arritt (Co-I), 2004-2007: Evaluating
the representation and impact of convective momentum transport in
CCSM atmosphere model. DOE/CCPP.
Teaching
Atmosperic Physics I (Mteor 341)
Atmosperic Physics II (Mteor 342)
Atmosperic Physics (Mteor 542)
Selected Refereed Papers
Wu, X., and X.-Z. Liang, Effect of subgrid cloud-radiation interaction
on climate simulations. Geophys. Res. Lett., submitted, 08/2005.
Wu, X., and X.-Z. Liang, Effects of cloud distributions on radiative
flux and heating rate in the cloud-resolving model simulation over
the ARM SGP. Quart. J. Roy. Meteor. Soc.,submitted, 05/2005.
Grabowski, W.W., X. Wu, and Co-authors, Daytime convective development
over land: A model intercomparison based on LBA observations. Quart.
J. Roy. Meteor. Soc., under second review, 2005.
Wu, X., and S. Guimond, 2005: Two- and three-dimensional cloud-resolving
model simulations of the mesoscale enhancement of surface heat fluxes
by precipitating deep convection. J. Climate, in press.
Wu, X., and X.-Z. Liang, 2005: Radiative effects of cloud horizontal
inhomogeneity and vertical overlap identified from a month-long cloud-resolving
simulation. J. Atmos. Sci., in press.
Liang, X.-Z., and X. Wu, 2005: Evaluation of a GCM subgrid cloud-radiation
interaction parameterization using cloud-resolving model simulations.
Geophys. Res. Lett., 32, L06801, doi:10.1029/2004GL022301.
Xu, K.-M., X. Wu, and Co-authors, 2005: Modeling springtime shallow
frontal clouds with cloud-resolving and single-column models,
J. Geophys. Res., 110, D15S04,doi:10.1029/2004JD005153.
Xie, S., X. Wu, and Co-authors, 2005: Simulations of midlatitude frontal
clouds by SCMs and CRMs during the ARM March 2000 cloud IOP. J.
Geophys. Res., 110, D15S03, doi:10.1029/2004JD005119.
Publications