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ESI Special Topic: Tropical Storms
Publication Date: July 2006

Tropical Storms

ESI Special Topics: October 2006
Citing URL: http://esi-topics.com/tropical/interviews/PeterYau.html

An INTERVIEW with Dr. Peter Yau
In the interview below, Dr. M.K. (Peter) Yau talks about his highly cited work on tropical storms. In our analysis of tropical storms research over the past decade, Dr. Yau’s work ranks at #3, with 14 papers cited a total of 255 times. His most-cited paper, "Multiscale numerical study of Hurricane Andrew (1992). 1. Explicit simulation and verification," (Monthly Weather Review 125: 3073-93, 1997), ranks at #6, with 74 cites. Dr. Yau hails from McGill University, where his work centers on cloud physics and dynamics.

ST:  What first interested you in storm research?

I first got interested in storms when I worked in a weather office (Hong Kong Royal Observatory) for two years before I started my university education. At that time, the Observatory built its own satellite picture receiving equipment and captured some of the early spectacular typhoon pictures from the Tiros and Nimbus satellites. I was intrigued by the spiral bands, the strong winds, and heavy rainfall from these storms.

ST:  Tell us about the extensive series of studies you and your colleagues did on Hurricane Andrew—what did you learn about Andrew in particular, and about hurricanes in general?


“ 
We showed using a high-resolution numerical model with explicit representation of cloud and precipitation processes, that the observed evolution and inner-core structures of Andrew can be well simulated from observed initial conditions.

Our Hurricane Andrew studies started as a team effort when Yubao Liu (now at the National Center for Atmospheric Research [NCAR]), Da-Lin Zhang (now at the University of Maryland), and I were colleagues at McGill University. We showed using a high-resolution numerical model with explicit representation of cloud and precipitation processes, that the observed evolution and inner-core structures of Andrew can be well simulated from observed initial conditions. These results demonstrate the feasibility of predicting reasonably well the track, intensity, and inner-core structures of hurricanes from tropical synoptic conditions if a model has high grid resolution and realistic physics. (Read an interview with the coauthor of this paper: Zhang, DL )

The numerical model output also furnished us with a consistent dataset to understand how the storm operates. Extensive analysis of this dataset led to a series of papers on Andrew’s detailed inner-core structures, an explanation of the subsidence warming in the eye, a study of the thermodynamics of the storm, and an investigation of the strong winds in the eyewall and spiral bands. With Yongsheng Chen (now at NCAR) and Gilbert Brunet (at Environment Canada), we showed convincingly the presence of propagating waves, so called vortex Rossby waves, in the simulated hurricane. These waves represent a new way of understanding the dynamics of hurricanes and they may affect significantly the change of hurricane intensity with time.

ST:  Please talk a little bit about your 2004 Monthly Weather Review paper examining Hurricanes Danielle and Earl.

Hurricanes Danielle and Earl were tropical storms that moved into the mid-latitudes. Their characteristics then changed from a tropical storm to an extratropical one. The so-called extratropical transition is difficult to forecast. In our 2004 paper, we examined how the moisture and circulation associated with the tropical remnant of Danielle and Earl affected the transition process. We found that for ex-Hurricane Danielle, the remnant tropical circulation and moisture were important for rapid redevelopment as it moved into the mid-latitudes. However, the rapid reintensification of ex-Hurricane Earl was not sensitive to the moisture and circulation of the tropical remnant.

ST:  For the uninitiated, how does one go about modeling hurricanes? Is it computer simulated or done in a lab? What elements go into planning such a model?

Nowadays, it is much more common to simulate hurricanes in a computer. To build such a numerical model, we first gather the equations governing the wind, temperature, pressure, and various hydrometeors like cloud droplets, rain drops, ice and snow, and graupel. We then divide the storm into little boxes and write the equations for each box in a form that can be solved by a computer utilizing a particular numerical method. The calculated results like winds, temperature, pressure, etc., for all the boxes at discrete time intervals then tell us how the hurricane develops and moves.

ST:  What are your current projects?

I am trying to understand how hurricanes change their intensity especially when more than one eyewall forms in a hurricane. Other projects include investigating how cloud and precipitation form in storms and how to improve their representation in numerical models.End

Dr. M.K. (Peter) Yau
McGill University
Montreal, Quebec, Canada


 
Read an interview with the coauthor of this paper: Da-Lin Zhang.

ESI Special Topics: October 2006
Citing URL: http://esi-topics.com/tropical/interviews/PeterYau.html

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