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AEROSOLS AND CALIBRATION
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Background The atmosphere affects the signal received at a satellite instrument both by scattering light into the field of view of the instrument, and by attenuating light reflected from the Earth's surface. Three atmospheric components are relevant to these atmospheric effects; these are the permanent gases, particulates known as aerosols, and clouds. Visible and infra-red remote sensing in cloudy conditions is subject to many problems, and we shall restrict attention to cloud free conditions. Scattering of electromagnetic radiation by the permanent gases is well understood and the fact that they are well mixed, and that the vertical air mass is fairly uniform over large areas, and the scattering properties are simple means that the contribution of the permanent gases to the at-satellite signal is readily calculated. The situation with regard to the aerosols is more difficult. The aerosol concentration can be highly variable in space and time, with fluctuations on scales as short as a few kilometres (although usually longer). The scattering function is not known exactly, whereas it is for gases, and another factor is the strong forward component to the aerosol scattering, which makes accurate radiative transfer modelling difficult. Experience with ATSR2 suggests that we can correct for aerosols more readily if the dataset is not simply a multispectral image, but consist of a directional set of such measurements. The multi-directional viewing afforded us by the CHRIS-PROBA system thus makes possible a data-driven atmospheric correction of the satellite images. By observing the surface through different air masses, the separate contributions from the surface and the atmosphere can be accounted for if we make a reasonable assumption about surface reflection properties. The ATSR2 work is described in (Godsalve 1996; Flowerdew and Haigh 1996; North, 1996; Mackay et al., 1998; North et al. 1999). Similar sentiments underlie the approach taken to atmospheric correction of data from the MISR instrument on Terra-1. Compared to the ATSR2 instrument, CHRIS-PROBA offers additional look angles, more bands and a higher spatial resolution. Extending the ATSR2 algorithms to CHRIS-PROBA data should make the correction both more accurate and, because sub-pixel cloud and heterogeneous land surfaces will be less of a problem, more robust. In addition to being needed to correct the satellite data to ground reflectance values, aerosol information is important in its own right. For example, it is believed that sulphate particles have had a significant cooling effect over Europe and China in recent decades, counteracting some of the local climate change that would have been expected from observed increases in atmospheric carbon. A particular source of uncertainty in modelling radiation transfer in the atmosphere is the interaction between aerosols and clouds. While some global climatologies exist for aerosols, these are based on limited numbers of observations and only recently has a network of observing stations been set up that tries to monitor aerosol properties over sensible periods and a widely distributed area. However, the existing distribution is heavily skewed towards the continental United States, and there is little coverage of Asia, the southern hemisphere or the open oceans. The only way to obtain estimates over un-instrumented areas is via measurements from space, and this is perhaps the only way that long term, global monitoring of aerosols can happen. The aim of this science investigation is to develop further the methods developed in the earlier ATSR2 investigations to the more highly specified data from CHRIS. In that earlier investigation the technique was found to be quite robust to the aerosol optical depth, which means the method can be regarded as a retrieval method for aerosols in distinction to its being an atmospheric correction method.
Validation
Marine sites
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Sites for continental aerosols
Sites for desert aerosols
Sites for urban aerosols
Other sites Data requirements Ground and satellite data over these sites are required monthly over the length of the mission to give a full range of sun-surface -sensor geometries, humidity profiles and seasonal loading effects. A full year's data would be the ideal. A restricted swath will generally suffice with the full spectrum acquired except over Venice, where the whole swath is needed. The full pointing capability of the platform will be exercised in this experiment, and the maximum number of angles will be needed. It is particularly important that at least one measurement be taken at about 60 degrees (at ground). The default for aerosol studies will be monthly acquisitions of one set of 5 images with along track ground incidence angles of 0°, +/-25° and +/-44° at any single across track angle (n.b. it is assumed that the across track viewing angles will vary month to month primarily to take advantage of cloud free viewing opportunities). The full spectral coverage of 62 bands will be acquired at a spatial resolution of 50m x 50m.
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Summary A complete list of these 13 sites is provided below. Of these sites, three are also being used for land surface studies, a fourth can be used to build up a data set for coastal studies, and another is primarily used for an air quality experiment. Two might not be acquired (McMurdo may not be manned, because of budget cuts, and the NW Australia site might not be ready, or may not be approved). The experiment therefore has a core set amounting to 6 sites (1 continental, 2 marine, 2 desert and 1 urban) where data is acquired purely for the aerosol retrieval study.
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