Title :
Space and time aliasing structure in mean polar-orbiting satellite data
Author :
Zeng, Lixin ; Levy, Gad
Author_Institution :
Dept. of Atmos. Sci., Washington Univ., Seattle, WA, USA
Abstract :
Monthly mean wind fields from the European Remote Sensing Satellite (ERS-1) scatterometer are calculated and presented. A banded structure which resembles the satellite subtrack is clearly and consistently apparent in the isotachs as well as the u- and v-components of the wind with a typical variation (amplitude) of 4 ms-1. An experiment is designed to trace the cause of the banded structure; the European Centre for Medium Range Weather Forecasting (ECMWF) surface wind analyses are used to form a control (synoptic) set and a simulated scatterometer wind set sampled with the ERS-1 temporal/spatial sampling pattern. Both sets are used to create monthly averages. The banded structures appear in the simulated scatterometer set but do not appear in the control set. It is concluded that the source of the banded structure is in the spatial and temporal sampling of the polar-orbiting satellite. The nature of the problem and some means to control it are discussed. The problem is rather complicated and involves multiple time and space scales, over and under sampling in space, aliasing of time to space domain, and intraseasonal variability which is preferentially sampled. Therefore, common means of controlling the undesirable effects of aliasing address only part of the problem. While some of these control methods produce visually pleasing results, they may bias the true mean.
Keywords :
atmospheric boundary layer; atmospheric techniques; geophysical signal processing; meteorological radar; oceanographic techniques; radar applications; radar signal processing; remote sensing; remote sensing by radar; spaceborne radar; wind; ERS-1; European Remote Sensing Satellite; banded structure; boundary layer; isotach; marine atmosphere; measurement technique; meteorology; ocean sea surface; polar-orbiting satellite; radar remote sensing; radar scattering; satellite subtrack; scatterometer; signal processing; space aliasing error; time aliasing structure; wind field; Analytical models; Pattern analysis; Predictive models; Radar measurements; Remote sensing; Sampling methods; Satellites; Spaceborne radar; Weather forecasting; Wind forecasting;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399314