Premium
Tropical Rainfall Measuring Mission microwave imaging capabilities for the observation of rain clouds
Author(s) -
Bauer P.,
Bennartz R.
Publication year - 1998
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/97rs02049
Subject(s) - brightness temperature , image resolution , remote sensing , environmental science , brightness , microwave , noise (video) , resolution (logic) , pixel , microwave imaging , range (aeronautics) , temporal resolution , dynamic range , meteorology , geology , physics , optics , materials science , computer science , composite material , quantum mechanics , artificial intelligence , image (mathematics)
Brightness temperature simulations were used to assess the information loss due to the coarse spatial sampling of the Tropical Rainfall Measuring Mission (TRMM) microwave imager (TMI). While the high‐resolution simulation of a three‐dimensional rain cloud clearly identifies the 10.7‐GHz channel to be superior for surface rainfall measurements, its comparably poor spatial resolution reduces the dynamic range of observable brightness temperatures and associated area‐averaged rain rates considerably. This problem can be partly overcome by applying deconvolution techniques as demonstrated by Robinson et al. [1992]. When the sensitivity of resolution enhancement to noise amplification is investigated, an optimum configuration of key parameters was identified. Using an 11×11 matrix of neighboring pixels and noise reduction parameter of γ = 0.5° provides a 42×26 km resolution, compared with the original resolution of 63×38 km. Thus a noise amplification by a factor of 3 is introduced. Although this method does not match the resolution of the 19.35‐GHz channel, the dynamic range of brightness temperatures and area‐averaged rain rates could be increased by a factor of 2.7 and 2.2, respectively. Further resolution enhancement leads to noise levels which seem unacceptable with respect to the retrieval of geophysical parameters.