Articles | Volume 9, issue 5
https://doi.org/10.5194/amt-9-2207-2016
https://doi.org/10.5194/amt-9-2207-2016
Review article
 | 
18 May 2016
Review article |  | 18 May 2016

A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz

Hélène Brogniez, Stephen English, Jean-François Mahfouf, Andreas Behrendt, Wesley Berg, Sid Boukabara, Stefan Alexander Buehler, Philippe Chambon, Antonia Gambacorta, Alan Geer, William Ingram, E. Robert Kursinski, Marco Matricardi, Tatyana A. Odintsova, Vivienne H. Payne, Peter W. Thorne, Mikhail Yu. Tretyakov, and Junhong Wang

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Cited articles

Agusti-Panareda, A., Vasiljevic, D., Beljaars, A., Bock, O., Guichard, F., Nuret, M., Garcia Mendez, A., Andersson, E., Bechtold, P., Fink, A., Hersbach, H., Lafore, J.-P., Ngamini, J.-B., Parker, D. J., Redelsperger, J.-L., and Tompkins, A. M.: Radiosonde humidity bias correction over the West African region for the special AMMA reanalysis at ECMWF, Q. J. Roy. Meteor. Soc., 135, 595–617, https://doi.org/10.1002/qj.396, 2009.
Andersson E., Bauer, P., Beljaars, A., Chevallier, F., Holm, E., Janiskova, M., Kallberg, P., Kelly, G., Lopez, P., McNally, A., Moreau, E., Simmons, A., Thépaut, J.-N., and Tompkins, A.: Assimilation and modeling of the atmospheric hydrological cycle in the ECMWF forecasting system, B. Am. Meteorol. Soc., 86, 3387–402, https://doi.org/10.1175/BAMS-86-3-387, 2005.
Auligné, T., McNally, A. P., and Dee, D. P.: Adaptive bias correction for satellite data in a numerical weather prediction system, Q. J. Roy. Meteor. Soc., 133, 631–642, https://doi.org/10.1002/qj.56, 2007.
Bauer, A., Godon, M., Carlier, J., Ma, Q., and Tipping, R. H.: Absorption by H20 and H20-N2 mixtures at 153 GHz, J. Quant. Spectrosc. Ra. Trans., 50, 463–475, 1993.
Bauer, A., Godon, M., Carlier, J., and Ma, Q.: Water vapor absorption in the atmospheric window at 239  GHz, J. Quant. Spectrosc. Ra. Trans., 53, 411–423, 1995.
Short summary
Because a systematic difference between measurements of water vapor performed by space-borne observing instruments in the microwave spectral domain and their numerical modeling was recently highlighted, this work discusses and gives an overview of the various errors and uncertainties associated with each element in the comparison process. Indeed, the knowledge of absolute errors in any observation of the climate system is key, more specifically because we need to detect small changes.