Articles | Volume 9, issue 3
https://doi.org/10.5194/amt-9-1153-2016
https://doi.org/10.5194/amt-9-1153-2016
Research article
 | 
18 Mar 2016
Research article |  | 18 Mar 2016

Shortwave surface radiation network for observing small-scale cloud inhomogeneity fields

Bomidi Lakshmi Madhavan, John Kalisch, and Andreas Macke

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Cited articles

Augustine, J. A., DeLuisi, J. J., and Long, C. N.: SURFRAD – a national surface radiation budget network for atmospheric research, B. Am. Meteorol. Soc., 81, 2341–2357, https://doi.org/10.1175/1520-0477(2000)081<2341:SANSRB>2.3.CO;2, 2000.
Barker, H. W. and Li, Z.: Interpreting shortwave albedo-transmittance plots: true or apparent anomalous absorption?, Geophys. Res. Lett., 24, 2023–2027, https://doi.org/10.1029/97GL02019, 1997.
Barker, H. W., Curtis, T. J., Leontieva, E., and Stamnes, K.: Optical depth of overcast cloud across Canada: estimates based on surface pyranometer and satellite measurements, J. Climate, 11, 2980–2994, https://doi.org/10.1175/1520-0442(1998)011<2980:ODOOCA>2.0.CO;2, 1998.
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V. M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and aerosol, in: Climate Change 2013: The Physical Science Basis. Contributions of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Tech. rep., IPCC, Cambridge University Press, Cambridge, UK, New York, NY, USA, 571–657, 2013.
Deneke, H. M., Feijt, A. J., and Roebeling, R. A.: Estimating surface solar irradiance from METEOSAT SEVIRI-derived cloud properties, Remote Sens. Environ., 112, 3131–3141, https://doi.org/10.1016/j.rse.2008.03.012, 2008.
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Short summary
As part of the High Definition Clouds and Precipitation for advancing Climate Prediction Observational Prototype Experiment (HOPE), a high-density network of pyranometer stations (99 nos.) was set up around Jülich (10 km × 12 km area) from April to July 2013 to capture the small-scale variability of cloud-induced radiation fields at the surface. This paper provides the details of this unique setup of the network, data, quality control, uncertainty estimation and discussion of some case days.