Mathematics – Logic
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusm.a21a..05m&link_type=abstract
American Geophysical Union, Spring Meeting 2002, abstract #A21A-05
Mathematics
Logic
6297 Instruments And Techniques, 0343 Planetary Atmospheres (5405, 5407, 5409, 5704, 5705, 5707), 0394 Instruments And Techniques
Scientific paper
In the Solar System there are the planets (e.g. Venus etc.) whose surface environment and general atmospheric circulation differs from Earth_fs one. If we can understand the meteorology of these planets, we get the information of meteorological mechanism which completely differs from the Earth_f one. By returning this information to the Earth's meteorology we more deeply understand the meteorological phenomenon of the Earth than now. Therefore, it is important to research the meteorology of these planets. In past meteorological researches of the atmospheric planets they had not reached to detailed understanding. This reason is that in many cases target physical phenomenon is covered with the error because of data shortage. For solving this problem we must obtain the many data. However, examining the past research, I notice that the possibility of overestimate of error. Concretely, it is like below. In past meteorological researches of the atmospheric planets except the Earth, in which the Atmospheric Motion Vectors (AMVs) are derived from their cloud images, the AMVs' accuracy is evaluated from the spatial and time adjustment. The AMVs which depart the permissible range are deleted, which is decided in view of the spatial and time scale of the target physical phenomenon and the possibility of miss-matching. The error of AMVs is defined as the standard deviation of neighboring AMVs. In this definition, however, the error of AMVs depends on the permissible range and is anticipated to be as large as the target physical phenomenon. In fact, there were some researches that they couldn't prove whether the target physical phenomenon existed because of the large error of itself. The proper error evaluation as well as the observation method is important for proving the existence of the target physical phenomenon. The purpose of this study is to establish the error evaluation of AMVs, which reflects influence of the image spatial resolution and the change of cloud shape upon AMVs. I think that the error of AMVs depends on the image spatial resolution and the change of cloud shape largely not on the spatial and time fluctuation of AMVs. By the change of cloud shape we can_ft track the cloud motion precisely. By the image spatial resolution the error of 1 pixel is attached to the AMVs. In this study, by statistical presumption technique I evaluate the error of AMVs, which reflects influence of the image spatial resolution and the change of cloud shape upon AMVs. In order to verify this method, I make test patterns, and calculate the AMVs and the error with error evaluation by statistical presumption technique using these patterns. This result is that the error of AMVs by this method is almost equivalent to the expected error of the change of cloud shape, and relies on the change rate of cloud shape. In addition, using Venus' cloud images I calculate the AMVs and the error with error evaluation by statistical presumption technique and the error with past error evaluation, which calculate the standard deviation of neighboring AMVs. The result is that the error by statistical presumption technique is smaller than the error of past. In this study, by statistical presumption technique the error evaluation of AMVs that reflects influence of the image spatial resolution and the change of cloud shape upon AMVs is established.
Higuchi Takeo
Imamura Takashi
Murachi Tetsunori
Nakamura Maho
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