MURAL - Maynooth University Research Archive Library



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


    Brogniez, Helene and English, Stephen and Mahfouf, Jean-Francois and Behrendt, Andreas and Berg, Wesley and Boukabara, Sid and Alexander Buehler, Stephan and Chambon, Philippe and Gambacorta, Antonia and Geer, Alan and Ingram, William and Kursinski, E. Robert and Matricardi, Marco and Odintsova, Tatyana A. and Payne, Vivienne H. and Thorne, Peter and Tretyakov, Mikhail Yu and Wang, Junhong (2016) A review of sources of systematic errors and uncertainties in observations and simulations at 183 GHz. Atmospheric Measurement Techniques, 9. pp. 2207-2221. ISSN 1867-8548

    [img]
    Preview
    Download (766kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    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.

    Item Type: Article
    Keywords: review of sources; systematic errors; uncertainties; observations; simulations; 183 GHz;
    Academic Unit: Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
    Item ID: 8970
    Identification Number: https://doi.org/10.5194/amt-9-2207-2016
    Depositing User: Peter Thorne
    Date Deposited: 07 Nov 2017 15:53
    Journal or Publication Title: Atmospheric Measurement Techniques
    Publisher: European Geosciences Union (EGU)
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads