Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 901–927, 2022
https://doi.org/10.5194/gmd-15-901-2022
Geosci. Model Dev., 15, 901–927, 2022
https://doi.org/10.5194/gmd-15-901-2022
Development and technical paper
01 Feb 2022
Development and technical paper | 01 Feb 2022

The Earth Model Column Collaboratory (EMC2) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models

Israel Silber et al.

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Cited articles

Amante, C.: ETOPO1 1 arc-minute global relief model: procedures, data sources and analysis, NOAA Technical Memorandum NESDIS NGDC-24, National Geophysical Data Center [data set], NOAA, Tech. rep., https://doi.org/10.7289/V5C8276M, 2009. a
Bodas-Salcedo, A., Webb, M. J., Brooks, M. E., Ringer, M. A., Williams, K. D., Milton, S. F., and Wilson, D. R.: Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res.-Atmos., 92, 1023–1043, https://doi.org/10.1029/2007JD009620, 2008. a
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. a, b
Bodas-Salcedo, A., Williams, K. D., Ringer, M. A., Beau, I., Cole, J. N. S., Dufresne, J.-L., Koshiro, T., Stevens, B., Wang, Z., and Yokohata, T.: Origins of the Solar Radiation Biases over the Southern Ocean in CFMIP2 Models, J. Climate, 27, 41–56, https://doi.org/10.1175/JCLI-D-13-00169.1, 2014. a
Bohren, C. F. and Battan, L. J.: Radar Backscattering by Inhomogeneous Precipitation Particles, J. Atmos. Sci., 37, 1821–1827, https://doi.org/10.1175/1520-0469(1980)037<1821:RBBIPP>2.0.CO;2, 1980. a
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Short summary
The Earth Model Column Collaboratory (EMC2) is an open-source ground-based (and air- or space-borne) lidar and radar simulator and subcolumn generator designed for large-scale models, in particular climate models, applicable also for high-resolution models. EMC2 emulates measurements while remaining faithful to large-scale models' physical assumptions implemented in their cloud or radiation schemes. We demonstrate the use of EMC2 to compare AWARE measurements with the NASA GISS ModelE3 and LES.