Peer-Reviewed Journal Details
Mandatory Fields
Brogniez H.;English S.;Mahfouf J.;Behrendt A.;Berg W.;Boukabara S.;Buehler S.;Chambon P.;Gambacorta A.;Geer A.;Ingram W.;Kursinski E.;Matricardi M.;Odintsova T.;Payne V.;Thorne P.;Tretyakov M.;Wang J.
2016
May
Atmospheric Measurement Techniques
A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz
Published
11 ()
Optional Fields
2207
2221
© Author(s) 2016.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.
1867-1381
10.5194/amt-9-2207-2016
Grant Details