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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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Brogniez, Helene, Autor
English, Stephen, Autor
Mahfouf, Jean-Francois, Autor
Behrendt, Andreas, Autor
Berg, Wesley, Autor
Boukabara, Sid, Autor
Buehler, Stefan A.1, Autor           
Chambon, Philippe, Autor
Gambacorta, Antonia, Autor
Geer, Alan, Autor
Ingram, William, Autor
Kursinski, E. Robert, Autor
Matricardi, Marco, Autor
Odintsova, Tatyana A., Autor
Payne, Vivienne H., Autor
Thorne, Peter W., Autor
Tretyakov, Mikhail Yu, Autor
Wang, Junhong, Autor
Affiliations:
1A 2 - Climate Processes and Feedbacks, Research Area A: Climate Dynamics and Variability, The CliSAP Cluster of Excellence, External Organizations, ou_1863497              

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Schlagwörter: WATER-VAPOR ABSORPTION; RADIATIVE-TRANSFER MODELS; RADIANCE OBSERVATIONS; CONTINUUM ABSORPTION; ATMOSPHERIC WINDOW; MEGHA-TROPIQUES; BIAS CORRECTION; AIR; ASSIMILATION; CHANNELS
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2016
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 000377855300016
DOI: 10.5194/amt-9-2207-2016
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Titel: Atmospheric Measurement Techniques
  Kurztitel : AMT
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Göttingen : European Geosciences Union, Copernicus
Seiten: - Band / Heft: 9 Artikelnummer: - Start- / Endseite: 2207 - 2221 Identifikator: Anderer: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381