DocumentCode :
786957
Title :
Toward improved characterization of remotely sensed precipitation regimes with MODIS/AMSR-E blended data techniques
Author :
Turk, F. Joseph ; Miller, Steven D.
Author_Institution :
Marine Meteorol. Div., Naval Res. Lab., Monterey, CA, USA
Volume :
43
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
1059
Lastpage :
1069
Abstract :
The multispectral sensing capabilities afforded by the 36-channel Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard the Earth Observing System (EOS) Terra and Aqua satellites have the potential to improve satellite-derived cloud and precipitation products. Included in this channel suite are spectral bands having particular sensitivity to both cloud vertical distribution and near cloud-top microphysics. EOS Aqua, the local afternoon crossing satellite, carries in addition to MODIS the Advanced Microwave Scanning Radiometer for EOS (AMSR-E), a conically scanning passive microwave (PMW) instrument with 12 channels between 6.9 and 89 GHz. While limited by revisit time from low-earth orbit, Aqua provides an ideal test bed for investigating high refresh-rate, geostationary-based blended PMW/optical-spectrum techniques related to improved cloud characterization and precipitation. As the need for improved subdaily quantitative precipitation analysis has grown in recent years, blended-satellite techniques have taken on added relevance. In this paper, we present an application of the MODIS/AMSR-E sensor combination related to potential improvements to the Naval Research Laboratory (NRL)-developed blended-satellite precipitation technique, involving the characterization of cirrus clouds. The presence of cirrus clouds above and nearby to both convective and stratiform precipitation imposes a limit to the utilization of longwave (>10 μm wavelength) thermal infrared channels for precipitation techniques. The established "split window" technique involving the 11-12-μm brightness temperature difference (BTD) perform well for thin cirrus. We demonstrate that the 1.38- μm channel (and the 3.7-11-μm BTD at night) on MODIS, when combined with additional channels, is capable of decoupling thin surrounding cirrus from thicker ice clouds. This information may be useful for screening thin cirrus that is often falsely interpreted as light precipitation. Radiative transfer simulations are used to demonstrate the theoretical basis for the selected multispectral channel combinations, and examples involving daytime and nighttime Aqua overpasses are presented.
Keywords :
artificial satellites; atmospheric precipitation; atmospheric techniques; clouds; microwave measurement; radiometry; remote sensing; 6.9 to 89 GHz; Advanced Microwave Scanning Radiometer for EOS; Aqua satellite; MODIS instruments; MODIS/AMSR-E blended data techniques; Moderate Resolution Imaging Spectroradiometer; Naval Research Laboratory; Terra satellite; Tropical Rainfall Measuring Mission; brightness temperature difference; cirrus clouds; cloud characterization; cloud vertical distribution; cloud-top microphysics; conically scanning passive microwave; multispectral sensing; precipitation analysis; radiative transfer simulations; remote sensing; split window technique; thermal infrared channels; Clouds; Earth Observing System; Instruments; Laboratories; MODIS; Microwave radiometry; Optical sensors; Satellite broadcasting; Sensor phenomena and characterization; Testing; Advanced Microwave Scanning Radiometer (AMSR); Moderate Resolution Imaging Spectroradiometer (MODIS); Tropical Rainfall Measuring Mission (TRMM); cirrus; microwave; multispectral; precipitation; satellite;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.841627
Filename :
1424282
Link To Document :
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