A quarter-century of satellite polar mesospheric cloud observations

被引:98
|
作者
DeLand, MT
Shettle, EP
Thomas, GE
Olivero, JJ
机构
[1] SSAI, Lanham, MD 20706 USA
[2] USN, Res Lab, Remote Sensing Div, Washington, DC 20375 USA
[3] Univ Colorado, LASP, Boulder, CO 80309 USA
[4] Embry Riddle Aeronaut Univ, Dept Phys Sci, Daytona Beach, FL 32114 USA
基金
美国国家航空航天局;
关键词
polar mesospheric cloud; noctilucent cloud; remote sensing; scattering;
D O I
10.1016/j.jastp.2005.08.003
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Satellite observations of polar mesospheric clouds (PMCs) are extremely valuable because they typically have daily coverage to characterize seasonal variations, sufficient detections for each season to give good statistics, quantitative information for physical analysis, and coverage of both hemispheres to evaluate global behavior. Continuous spectral measurements in the ultraviolet provide information about particle size distributions. A typical PMC season begins approximately 20 days before summer solstice at 80 degrees latitude, rises rapidly in occurrence frequency to 80-90%, and remains at that level until 50-60 days after solstice. Both occurrence frequency and brightness are latitude dependent, with higher values observed toward the poles. PMCs are normally observed at altitudes of 82-83 km, with higher altitudes at the start and end of each season. Hemispheric differences in behavior are also observed. Northern Hemisphere PMCs are consistently both more frequent and brighter than Southern Hemisphere clouds. Cloud height is generally anti-correlated with cloud brightness. The availability of extended PMC data sets from satellites provides the opportunity to evaluate long-term PMC variations over the past few decades. Analysis of these lengthy data sets shows a clear anti-correlation between seasonally averaged PMC parameters (occurrence frequency and brightness) and solar UV activity over the past two solar cycles, in agreement with model predictions. A time lag of similar to 1 year between the solar cycle and the PMC response is present in several data sets (solar variation leads PMC response). The cause is unknown. Multiple regression analysis also indicates long-term increases in both occurrence frequency and brightness, although there is not yet a consensus on the magnitude of the increase. These results are compared with information about concurrent variations in plausible source mechanisms such as mesospheric water vapor and temperature. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:9 / 29
页数:21
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