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Volume 9, issue 3
Atmos. Meas. Tech., 9, 1153-1166, 2016
https://doi.org/10.5194/amt-9-1153-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 1153-1166, 2016
https://doi.org/10.5194/amt-9-1153-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Mar 2016

Research article | 18 Mar 2016

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

Bomidi Lakshmi Madhavan et al.
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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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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.
As part of the High Definition Clouds and Precipitation for advancing Climate Prediction...
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