Title :
Assessing the quality of SeaWinds rain measurements
Author :
Draper, David W. ; Long, David G.
Author_Institution :
Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT, USA
fDate :
7/1/2004 12:00:00 AM
Abstract :
While SeaWinds was designed to measure ocean winds, it can also measure rain over the ocean. SeaWinds on QuikSCAT active measurements of integrated columnar rain rate obtained via simultaneous wind/rain retrieval are evaluated via Monte Carlo simulation and the Crame´r-Rao lower bound on estimate accuracy. Although sufficiently accurate in many conditions, the simultaneous wind/rain retrieval method used with SeaWinds on QuikSCAT data is ill-conditioned for certain wind directions and measurement geometries, sometimes yielding spurious rain rates in zero-rain conditions. To assess the validity of SeaWinds-derived rain rates, a simple empirically based rain thresholding scheme is presented, derived from simulated data. Thresholded QuikSCAT rain rates are compared to Tropical Rainfall Measuring Mission Microwave Imager monthly-averaged data, demonstrating good correlation for monthly-averaged data.
Keywords :
Monte Carlo methods; atmospheric techniques; hydrological techniques; meteorological radar; microwave measurement; rain; remote sensing by radar; wind; Cramer-Rao lower bound; Monte Carlo simulation; QuikSCAT; SeaWinds; Tropical Rainfall Measuring Mission Microwave Imager; integrated columnar rain rate; ocean winds; rain measurements; rain thresholding; scatterometer; simultaneous wind/rain retrieval; wind directions; Backscatter; Geometry; Information retrieval; Microwave measurements; Oceans; Radar measurements; Rain; Scattering; Sea measurements; Wind speed; Maximum likelihood; Microwave Imager; SeaWinds; TMI; TRMM; Tropical Rainfall Measuring Mission; scatterometer; simultaneous wind/rain retrieval;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2004.828194