Research Projects
1. Pacific Northwest Analysis of Record (AOR) Project - This
project involves creating a Pacific Northwest analysis of record
down to 12-km resolution. Various configurations of the ensemble
Kalman filter (EnKF), which is currently being run at the U. of
Washington, are being tested to provide the best mesoscale
analysis. Future testing will include a four-dimensional variational
approach, in which the model supplies the covariance information
intrinsically instread of the EnKF sampling procedure. The plots
currently displayed on
this page show the EnKF mean analyses and forecasts for both a 36-km
and 12-km Pacific Northwest domain (12-km domain is being tested so
this portion of the page may be under construction).
Go to
Analysis of Record Homepage
2. Development of Adaptive Data Assimilation Techniques
- This work focuses on the development of effective oberservation
targeting methods using both ensemble and adjoint techniques. The
major goal is to improve the prediction of high-impact weather events
such as windstorms, snowstorms, and flooding. Examining observation
impact is also part of this project, as it will be important in the
future to keep or exclude large amounts of observations for optimal
real-time data assimilation. Currently, real-time observation
targeting locations are being calculated in conjunction with the UW
real-time EnKF, and plots of targeting locations can be found on the
AOR homepage as described above.
Go to
Adaptive Data Assimilation Homepage
Various examples of unmanned, adaptive observing platforms. From
left,
aerosonde, dropsonde, and rocketsonde.