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Total backscatter-coefficient inversion error bounds for the two-component lidar inversion algorithm (so-called Fernald's or Klett-Fernald-Sasano's method) are derived in analytical form in response to the following three error sources: 1) the measurement noise; 2) the user uncertainty in the backscatter-coefficient calibration; and 3) the aerosol extinction-to-backscatter ratio. The following two different types of error bounds are presented: 1) approximate error bounds using first-order error propagation and 2) exact error bounds using a total-increment method. Both error bounds are formulated in explicit analytical form, which is of advantage for practical physical sensitivity analysis and computational implementation. A Monte Carlo approach is used to validate the error bounds at 355-, 532-, and 1064-nm wavelengths., Peer Reviewed, Postprint (published version)

New methods have been investigated which use fully polarimetric synthetic aperture radar (POLSAR) image data to measure ocean wave slopes. Independent techniques have been developed to measure wave slope spectra in both the radar azimuth and range directions. Wave spectra measured using the new methods are compared with spectra developed using conventional SAR intensity-based methods, and with spectra from in situ buoys. Wave-current interactions may also be measured using the same measurement techniques [1]. NASA/JPL/AIRSAR L-band image data from California coastal waters and from the New York Bight are used in the studies. NRL has also recently lead two collaborative field experiments that feature Along-Track Interferometric SAR (AT-INSAR) systems. In April, 2003, NRL, NASA JPL and UCLA collaborated in a study of sub-mesoscale coastal eddies that featured the NASA/JPL/AIRSAR. NRL has also recently collaborated with the University of Massachusetts in a deployment of their Dual Beam Interferometer on the west coast of Florida. This paper presents preliminary data from both of these experiments., See also ADM002146. Presented at Oceans 2003 MTS/IEEE Conference, held in San Diego, California on September 22-26, 2003. Published in proceedings of the same, p1829-1834. ISBN 0-933957-31-9. U.S. Government or Federal Purpose Rights License., The original document contains color images.

Following the purchase of a new TEP data acquisition system, TEP was deployed, along with UMass' FMCW profiler, during the CASES'99 Nocturnal Boundary Layer experiment near Leon, KS. During and following the experiment, several problems were identified in the new data acquisition system, and transmitter. During 2000, data acquisition problems were debugged, and a replacement transmitter was obtained in Spring 2001. TEP and the FMCW were deployed at a local field site in Amherst, MA. Coordinated operations confirmed successful operation of TEP, and collaborations with researchers at NQAA/ETL and U Nebraska are underway.