For my PhD work, I am thinking about the hydrologic cycle in modern climate and climate change. I find it illuminating to think about the problem from the perspective of the energy budgets of the top of atmosphere, atmosphere, and surface, globally. I like to tinker with radiative feedback kernels.
In the past, I have worked on a variety of topics, ranging from fog and hurricanes to climate feedbacks to paleoclimate, using a range of models from a 0-D toy model to output from full GCMs, with many doses of probabilistic thinking.
PhD work at University of Washington - Department of Atmospheric
Sciences
(
pdf)
Pendergrass, A.G. and D.L. Hartmann: The atmospheric energy constraint
on global-mean precipitation change. Accepted at
Journal of
Climate.
(
GRL,
pdf)
Pendergrass, A.G. and D.L. Hartmann, 2012:
Global-mean precipitation and black carbon in AR4 simulations.
Geophysical Research Letters,
39, L01703, doi:10.1029/2011GL050067.
(Or read about it
here)
Masters work at University of Washington - Department of Atmospheric Sciences
(
J.Clim,
pdf)
Pendergrass, A.G., and G.J. Hakim, D.S. Battisti and G. Roe, 2012:
Coupled air-mixed-layer temperature predictability for climate
reconstruction.
Journal of Climate,
25, 459–472.
(
Masters thesis) Paleoclimate data
assimilation (David Battisti, Greg Hakim, Gerard
Roe)
Extended undergraduate class project from tropical meteorology
(
MWR)
Pendergrass, A.G., and H.E. Willoughby, 2009: Diabatically Induced
Secondary Flows in Tropical Cyclones. Part I: Quasi-Steady
Forcing.
Monthly Weather Review,
137, 805–821.
University of Miami - Department of Meteorology and Physical Oceanography
(
Honors thesis) Climate feedbacks in the surface radiation budget (Brian Soden)
(
Project writeup) Analysis and modeling of a sea fog event over the Yellow Sea (Gang
Fu)
(
Project writeup) Ensemble forecast bias correction (Kim Elmore)