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

Authors :
Brogniez, Hélène
English, Stephen
Mahfouf, Jean-François
Behrendt, Andreas
Berg, Wesley
Boukabara, Sid
Buehler, Stefan Alexander
Chambon, Philippe
Gambacorta, Antonia
Geer, Alan
Ingram, William
Kursinski, E. Robert
Matricardi, Marco
Odintsova, Tatyana A.
Payne, Vivienne H.
Thorne, Peter W.
Tretyakov, Mikhail Yu.
Junhong Wang
Source :
Atmospheric Measurement Techniques; 2016, Vol. 9 Issue 5, p2207-2221, 15p
Publication Year :
2016

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18671381
Volume :
9
Issue :
5
Database :
Complementary Index
Journal :
Atmospheric Measurement Techniques
Publication Type :
Academic Journal
Accession number :
115953758
Full Text :
https://doi.org/10.5194/amt-9-2207-2016