A review of sources of systematic errors and uncertainties in observations and simulations at 183GHz - INSU - Institut national des sciences de l'Univers Access content directly
Journal Articles Atmospheric Measurement Techniques Year : 2016

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

Hélène Brogniez
Philippe Chambon
  • Function : Author
  • PersonId : 761996
  • IdRef : 158041461

Abstract

Several recent studies have observed biases between measurements in the 183.31GHz water vapour line by space-borne sounders and calculations using radiative transfer models with inputs from either radiosondes (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, quantification of their uncertainties, and separation of biases that could be common to all causes from those attributable to a particular cause. Reference observations from radiosondes, Global Navigation Satellite Systems (GNSS), Differential Absorption Lidar (DIAL) and Raman lidar are thus overviewed. Biases arising from their procedures of calibration, NWP models and data assimilation, instrument biases and radiative transfer models (both the models themselves and the underlying spectroscopy) are presented and discussed. Although 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.

Domains

Meteorology
Fichier principal
Vignette du fichier
amt-9-2207-2016.pdf (778.56 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

insu-01264256 , version 1 (28-05-2016)

Identifiers

Cite

Hélène Brogniez, Stephen English, Jean-François Mahfouf, Andreas Behrendt, Wesley Berg, et al.. A review of sources of systematic errors and uncertainties in observations and simulations at 183GHz. Atmospheric Measurement Techniques, 2016, 9 (5), pp.2207-2221. ⟨10.5194/amt-9-2207-2016⟩. ⟨insu-01264256⟩
467 View
216 Download

Altmetric

Share

Gmail Facebook X LinkedIn More