TY - JOUR
T1 - Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183 GHz band?
AU - Calbet, Xavier
AU - Peinado-Galan, Niobe
AU - Desouza-Machado, Sergio
AU - Robert Kursinski, Emil
AU - Oria, Pedro
AU - Ward, Dale
AU - Otarola, Angel
AU - Rípodas, Pilar
AU - Kivi, Rigel
N1 - Publisher Copyright: © 2018 Author(s).
PY - 2018/11/30
Y1 - 2018/11/30
N2 - The hypothesis whether turbulence within the passive microwave sounders field of view can cause significant biases in radiative transfer modeling at the 183 GHz water vapor absorption band is tested. A novel method to calculate the effects of turbulence in radiative transfer modeling is presented. It is shown that the turbulent nature of water vapor in the atmosphere can be a critical component of radiative transfer modeling in this band. Radiative transfer simulations are performed comparing a uniform field with a turbulent one. These comparisons show frequency dependent biases which can be up to several kelvin in brightness temperature. These biases can match experimentally observed biases, such as the ones reported in Brogniez et al. (2016). Our simulations show that those biases could be explained as an effect of high-intensity turbulence in the upper troposphere. These high turbulence phenomena are common in clear air turbulence, storm or cumulus cloud situations.
AB - The hypothesis whether turbulence within the passive microwave sounders field of view can cause significant biases in radiative transfer modeling at the 183 GHz water vapor absorption band is tested. A novel method to calculate the effects of turbulence in radiative transfer modeling is presented. It is shown that the turbulent nature of water vapor in the atmosphere can be a critical component of radiative transfer modeling in this band. Radiative transfer simulations are performed comparing a uniform field with a turbulent one. These comparisons show frequency dependent biases which can be up to several kelvin in brightness temperature. These biases can match experimentally observed biases, such as the ones reported in Brogniez et al. (2016). Our simulations show that those biases could be explained as an effect of high-intensity turbulence in the upper troposphere. These high turbulence phenomena are common in clear air turbulence, storm or cumulus cloud situations.
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U2 - 10.5194/amt-11-6409-2018
DO - 10.5194/amt-11-6409-2018
M3 - Article
SN - 1867-1381
VL - 11
SP - 6409
EP - 6417
JO - Atmospheric Measurement Techniques
JF - Atmospheric Measurement Techniques
IS - 12
ER -