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Below is the combined list of references from refs_sat.bib and refs_external.bib. It is intended for our group's internal use.

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                1. Aghedo, A. M., K. W. Bowman, D. T. Shindell, and G. Faluvegi (2011), The impact of orbital sampling, monthly averaging and vertical resolution on climate chemistry model evaluation with satellite observations, Atmos. Chem. Phys. Discuss., 11, 9705–9742, doi:10.5194/acpd-11-9705-2011.
                2. Astin, I. (1997), A survey of studies into errors in large scale space-time averages of rainfall, cloud cover, sea surface processes and the earth's radiation budget as derived from low earth orbit satellite instruments because of their incomplete temporal and spatial coverage, Sur. Geophy., 18, 384–403.
                3. Bennartz, R. (1999), On the Use of SSM/I Measurements in Coastal Regions, J. Atmos. Oceanic Technol., 16(4), 417–431.
                4. Dai, A., J. Wang, R. H. Ware, and T. Van Hove (2002), Diurnal variation in water vapor over North America and its implications for sampling errors in radiosonde humidity, J. Geophys. Res., 107(D10), doi:10.1029/2001JD000642.
                5. Heymsfield, A. J., A. Protat, R. Austin, D. Bouniol, R. Hogan, J. Delanoë, H. Okamoto, K. Sato, G.-J. van Zadelhoff, D. Donovan, and Z. Wang (2008), Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data, J. Appl. Meteorol. Clim., 47(1), 135–163, doi:10.1175/2007JAMC1606.1.
                6. Immler, F. J., J. Dykema, T. Gardiner, D. N. Whiteman, P. W. Thorne, and H. Vömel (2010), Reference Quality Upper-Air Measurements: guidance for developing GRUAN data products, Atmos. Meas. Tech., 3, 1217–1231, doi:10.5194/amt-3-1217-2010.
                7. Poe, G. A., E. A. Uliana, B. A. Gardiner, T. E. von Rentzell, and D. B. Kunkee (2008), Geolocation Error Analysis of the Special Sensor Microwave Imager/Sounder, IEEE T. Geosci. Remote, 4, 913–921, doi:10.1109/TGRS.2008.917981.
                8. Posselt, D. J., T. S. L'Ecuyer, and G. L. Stephens (2008), Exploring the error characteristics of thin ice cloud property retrievals using a Markov chain Monte Carlo algorithm, J. Geophys. Res., 113, D24206, doi:10.1029/2008JD010832.
                9. M. L. Salby, P. Callaghan (1997), Sampling Error in Climate Properties Derived from Satellite Measurements: Consequences of Undersampled Diurnal Variability, J. Climate, 10, 18–36.