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

Brogniez, H., English, S., Mahfouf, J.-F., Behrendt, A., Berg, W., Boukabara, S., et al. (2016). A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz. Atmospheric Measurement Techniques, 9, 2207-2221. doi:10.5194/amt-9-2207-2016.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-A2B0-F Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-D0D8-A
Genre: Journal Article

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 Creators:
Brogniez, Helene, Author
English, Stephen, Author
Mahfouf, Jean-Francois, Author
Behrendt, Andreas, Author
Berg, Wesley, Author
Boukabara, Sid, Author
Bühler, Stefan1, Author
Chambon, Philippe, Author
Gambacorta, Antonia, Author
Geer, Alan, Author
Ingram, William, Author
Kursinski, E. Robert, Author
Matricardi, Marco, Author
Odintsova, Tatyana A., Author
Payne, Vivienne H., Author
Thorne, Peter W., Author
Tretyakov, Mikhail Yu, Author
Wang, Junhong, Author
Affiliations:
1External Organizations, ou_persistent22              

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Free keywords: WATER-VAPOR ABSORPTION; RADIATIVE-TRANSFER MODELS; RADIANCE OBSERVATIONS; CONTINUUM ABSORPTION; ATMOSPHERIC WINDOW; MEGHA-TROPIQUES; BIAS CORRECTION; AIR; ASSIMILATION; CHANNELS
 Abstract: Several recent studies have observed systematic differences between measurements in the 183.31 GHz water vapor line by space-borne sounders and calculations using radiative transfer models, with inputs from either radiosondes (radiosonde observations, RAOBs) or short-range forecasts by numerical weather prediction (NWP) models. This paper discusses all the relevant categories of observation-based or model-based data, quantifies their uncertainties and separates biases that could be common to all causes from those attributable to a particular cause. Reference observations from radiosondes, Global Navigation Satellite System (GNSS) receivers, differential absorption lidar (DIAL) and Raman lidar are thus overviewed. Biases arising from their calibration procedures, NWP models and data assimilation, instrument biases and radiative transfer models (both the models themselves and the underlying spectroscopy) are presented and discussed. Although presently no single process in the comparisons seems capable of explaining the observed structure of bias, recommendations are made in order to better understand the causes.

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Language(s): eng - English
 Dates: 2016
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: ISI: 000377855300016
DOI: 10.5194/amt-9-2207-2016
 Degree: -

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Title: Atmospheric Measurement Techniques
  Abbreviation : AMT
Source Genre: Journal
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Publ. Info: Göttingen : European Geosciences Union, Copernicus
Pages: - Volume / Issue: 9 Sequence Number: - Start / End Page: 2207 - 2221 Identifier: Other: 1867-1381
CoNE: /journals/resource/1867-1381