DocumentCode :
66610
Title :
Evaluating Instrumental Inhomogeneities in Global Radiosonde Upper Tropospheric Humidity Data Using Microwave Satellite Data
Author :
Moradi, I. ; Buehler, S.A. ; John, V.O. ; Reale, Andrea ; Ferraro, R.R.
Author_Institution :
Earth Syst. Sci. Interdiscipl. Center (ESSIC), Univ. of Maryland, College Park, MD, USA
Volume :
51
Issue :
6
fYear :
2013
fDate :
Jun-13
Firstpage :
3615
Lastpage :
3624
Abstract :
In this paper, the overall quality of the water vapor profiles of global operational radiosonde data for the period 2000-2009 is investigated using upper tropospheric humidity (UTH) retrieved from microwave satellite data. Overall, the nighttime radiosonde data showed a dry bias (- 5% to -15%) over Europe, Australia, and New Zealand and systematically moist bias (greater than 30%) over China and the former Soviet Union. The nighttime sonde data from the U.S. and Canada showed a bias between -10% and 20%. Most stations indicated a daytime radiation dry bias, except for a few stations from the U.S. and the former Soviet Union. A sensorwise comparison showed a large nighttime wet bias for the Russian (MRZ-3A and MARS) and Chinese GZZ-2 sensors, a relatively small nighttime wet bias for the U.S. Sippican and VIZ-B2 sensors, and a nighttime dry bias for the Chinese GTS1, Vaisala (RS80-A, RS80-H, RS90, RS92K, and RS92-SGP), and the U.S. VIZ-MKII sensors. All sensors had a daytime radiation dry bias, except for the Russian MRZ-3A sensor that had a daytime radiation wet bias that could be because of the daytime radiation bias correction. Because of the large differences between different radiosonde sensors, it is essential for UTH studies to only use the data measured using a single type of sensor at any given station.
Keywords :
atmospheric humidity; atmospheric radiation; radiosondes; remote sensing; troposphere; AD 2000 to 2009; Australia; Canada; China; Chinese GTS1 sensor; Chinese GZZ-2 sensor; Europe; New Zealand; Russian sensor; US; US VIZ-MKII sensor; VIZ-B2 sensors; daytime radiation dry bias; former Soviet Union; global operational radiosonde data; global radiosonde upper tropospheric humidity data; instrumental inhomogeneities; microwave satellite data; nighttime radiosonde data; nighttime sonde data; water vapor profiles; Clouds; Humidity; Humidity measurement; Satellite broadcasting; Satellites; Sensors; Uncertainty; Microwave remote sensing (RS); radiosonde data; satellite data; tropospheric humidity; water vapor;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2220551
Filename :
6353203
Link To Document :
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