Royal Netherlands Meteorological Institute; Ministery of Infrastructure and the Environment

Research
Regional Climate
Clouds and aerosols
CLARIFI

CLouds and Aerosol Radiative Interaction and Forcing Investigation (2010-2011)

Purpose

The Clarifi project aims at quantifying the absorption of solar radiation by tropospheric aerosols in the presence of underlying clouds, using space-borne passive imagery. Clarifi is part of ESA’s Changing Earth Science Network

Motivation

Aerosols absorb and scatter solar energy in the atmosphere and modify solar radiation transport indirectly by modifying cloud properties. These effects of aerosols could potentially partially offset or even amplify the global warming due to greenhouse gases, but the relative contribution of aerosols to climate change is still largely unquantified (IPCC, 2007). Since many sources of tropospheric aerosols are heterogeneously distributed and often located in remote areas, the observation of aerosol distributions in the atmosphere can be challenging. Space-based observations from Earth-orbiting satellites have proved to be essential for the continuous monitoring of aerosols in the Earth’s atmosphere (Kaufman, 2002). However, most space-based aerosol retrieval schemes rely on cloud screening algorithms before retrieving aerosol properties from an observed scene, considering cloud contaminated scenes too bright to allow aerosol retrievals (e.g. Veefkind, 2000; King, 2003). Therefore, direct studies of cloud and aerosol interactions are often not possible from these observations. Furthermore, most aerosol retrieval schemes rely on aerosol microphysical property assumptions, which often introduce large uncertainties in the retrieved aerosol parameters.

Both these problems can be avoided using the Absorbing Aerosol Index (AAI), which uses radiation measurements in the UltraViolet (UV) in order to detect absorbing aerosols (Torres, 1998, De Graaf, 2005) . The AAI from the space-based spectrometer ENVISAT/SCIAMACHY (Bovensmann, 1999) can be used to detect absorbing aerosols that absorb solar radiation over land and ocean surfaces, both in the presence of clouds (if the absorbing aerosol layer overlies the cloud) and cloud-free scenes (De Graaf, 2007). An example is shown in Figure 1, where smoke from the African continent is advected over a permanent cloud deck over the South Atlantic ocean. This can be detected using the AAI.

Fig. 1: MODIS RGB image of biomass burning on 9 September 2004 over eastern South Atlantic Ocean and SCIAMACHY AAI, showing UV-absorbing aerosols over clouds. The reflectance spectra of the rectangles are shown in Figure 2.

SCIAMACHY has the unique feature of measuring over a large spectral range in the UV, visible and InfraRed (IR), a range that contains almost all of the solar energy. Figure 2 shows the reflectance spectra of the rectangle areas in Figure 1 as measured by SCIAMACHY. An indication of the amount of energy that is absorbed by the aerosols in the UV can be obtained by comparing the ‘clean’ cloud reflectance and the ‘polluted’ cloud reflectance, as indicated in Figure 2. The reflectance of the polluted cloud scene is much lower in the UV than the clean cloud scene reflectance due to the absorption by the aerosols.

Fig. 2: Reflectance spectra of the rectangular areas in Figure 1 as measured by SCIAMACHY

The two cloud scene reflectance shown in Figure 2 are rather arbitrary, CLARIFI aims at accurately quantifying the amount of aerosol absorption using reflectance measurements of SCIAMACHY, and a Radiative Transfer Model (RTM) to simulate the clean cloud reflectance. The aerosols in the scene can be detected using the AAI, the cloud parameters can be retrieved from the IR, where the optical thickness of the aerosols is negligible. Using the RTM and the measured cloud parameters, the reflectance spectrum in the UV of the scene without aerosols can be simulated. The effect of the UV-absorbing aerosols on the reflectance spectrum can then be determined directly, by comparing the measured and the simulated scene. From this the direct effect of aerosols may be quantified, which is the amount of absorbed radiation by aerosols in a scene. Currently, this quantity can be determined when aerosol microphysical properties are known, which, using passive satellite imagery, can be done in cloud-free scenes only, as explained above.

SCIAMACHY data that is available since 2002 will be screened for the aerosol direct effect above clouds, to investigate the semi-direct effect of aerosols: the absorption of the solar radiation by the aerosols heats the atmosphere locally, which can influence the vertical stability of the atmosphere and the cloud layer and can evaporate cloud droplets.

The semi-direct effect is known to be dependent on the vertical distribution of the aerosols and clouds. Active space-based sensors, like the space-based lidar CALIPSO/CALIOP and the planned EarthCare instrument, provide a vertical profile of the scattering and absorbing properties of the atmosphere and aerosols above a cloud, or down to the surface in the absence of clouds. Therefore, co-located measurements from SCIAMACHY and CALIPSO may give detailed measurements of the aerosol direct effect, and the relative location of the clouds and the aerosols.

References

Bovensmann, H., J. P. Burrows, M. Buchwitz, J. Frerick, S. Noel, V. V. Rozanov, K. V. Chance and A. P. H. Goede, SCIAMACHY: Mission Objectives and Measurement Modes, J. Atmos. Sci., 56(2), 127-150, DOI: 10.1175/1520-0469, 1999.
De Graaf, M., P. Stammes, O. Torres and R. B. A. Koelemeijer, Absorbing Aerosol Index: Sensitivity Analysis, application to GOME and comparison with TOMS, J. Geophys. Res., 110, D01201, DOI: 10.1029/2004JD005178, 2005.
De Graaf, M., P. Stammes and E. A. A. Aben, Analysis of reflectance spectra of UV-absorbing aerosol scenes measured by SCIAMACHY, J. Geophys. Res. 112, D02206, doi: 10.1029/2006JD007249, 2007.
IPCC: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp., 2007.
Kaufman, Y.J., D. Tanre, and O. Boucher, A satellite view of aerosols in the climate system, Nature, 419, 215-223, 2002
King, M. D., Cloud and Aerosol Properties, Precipitable Water, and Profiles of Temperature and Water Vapor from MODIS, IEEE Trans. Geosci. Remote Sens. , 41(2), 442-458, 2003
Torres, O., P. K. Bhartia, J. R. Herman, Z. Ahmad and J. Gleason, Derivation of aerosol properties from satellite measurements of backscattered ultraviolet radiation: Theoretical basis, J. Geophys. Res.,103, D14, doi:10.1029/98JD00900, 1998.
Veefkind, J. P., G. de Leeuw, P. Stammes and R. B. A. Koelemeijer, Regional Distribution of Aerosol over Land, Derived from ATSR-2 and GOME, Remote Sens. Environ., 74, 377-386, 2000.
Last updated on 25 February 2011