Marine boundary layer depth and relative humidity estimates using multispectral satellite measurements
Smolinski, Steven P.
MetadataShow full item record
A technique is presented to estimate surface relative humidity and boundary layer depth from multispectral satellite measurements using the AVHRR sensor on TIROS-N generation satellites. A sensitivity study quantifies the effect of a combination of input measurement errors of sea-surface temperature, optical depth and total water vapor used in the technique to produce outputs of surface relative humidity and boundary layer depth under simulated conditions and model atmospheres. Technique verification is then accomplished with satellite data compared to ship and aircraft vertical soundings and sea-surface temperature measurements. The root mean square differences between the surface relative humidity/boundary layer depth satellite-measured estimates and verified measurements are 6% and 75 m respectively. Finally, synoptic-scale mapping of the surface relative humidity and boundary layer depth fields based on the satellite derived estimates is accomplished with monochromatic and color enhanced satellite images. Horizontal variability of surface relative humidity and boundary layer depth on the order of kilometers can be visually detected from these images. Keywords: Remote sensing; MABL(Marine Boundary Layer); Marine atmospheres; Air ocean interface; Advanced very high resolution radiometers; Theses. (edc)
Showing items related by title, author, creator and subject.
Estimation of marine boundary layer depth and relative humidity with multispectral satellite measurements Kren, Richard J. (1987-06);estimating marine boundary layer depth and relative humidity structure from satellite inferred measurements of aerosol optical depth, total water vapor and sea-surface temperature. The data originate from radiance ...
Walsh, David J. (Monterey, California. Naval Postgraduate School, 1994-06);Satellite derived images of surface relative humidity and boundary layer height are generated from AVHRR data collected in a coastal region during the Variability of Coastal Atmospheric Refractivity (VOCAR) IOP (24 August ...
Teadt, Troy L. (Monterey, California. Naval Postgraduate School, 1996-03);Satellite derived images of boundary layer properties are generated from AVHRR data collected during SHAREM 110 (6 February-18 February 1995) and during Naval Postgraduate School cruise (16 May 1995) for comparison with ...