Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-529-2018
https://doi.org/10.5194/amt-11-529-2018
Research article
 | 
25 Jan 2018
Research article |  | 25 Jan 2018

Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

Sergio DeSouza-Machado, L. Larrabee Strow, Andrew Tangborn, Xianglei Huang, Xiuhong Chen, Xu Liu, Wan Wu, and Qiguang Yang

Related authors

Horizontal small-scale variability of water vapor in the atmosphere: implications for intercomparison of data from different measuring systems
Xavier Calbet, Cintia Carbajal Henken, Sergio DeSouza-Machado, Bomin Sun, and Tony Reale
Atmos. Meas. Tech., 15, 7105–7118, https://doi.org/10.5194/amt-15-7105-2022,https://doi.org/10.5194/amt-15-7105-2022, 2022
Short summary
Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature
L. Larrabee Strow and Sergio DeSouza-Machado
Atmos. Meas. Tech., 13, 4619–4644, https://doi.org/10.5194/amt-13-4619-2020,https://doi.org/10.5194/amt-13-4619-2020, 2020
Short summary
kCARTA: a fast pseudo line-by-line radiative transfer algorithm with analytic Jacobians, fluxes, nonlocal thermodynamic equilibrium, and scattering for the infrared
Sergio DeSouza-Machado, L. Larrabee Strow, Howard Motteler, and Scott Hannon
Atmos. Meas. Tech., 13, 323–339, https://doi.org/10.5194/amt-13-323-2020,https://doi.org/10.5194/amt-13-323-2020, 2020
Short summary
Can turbulence within the field of view cause significant biases in radiative transfer modeling at the 183 GHz band?
Xavier Calbet, Niobe Peinado-Galan, Sergio DeSouza-Machado, Emil Robert Kursinski, Pedro Oria, Dale Ward, Angel Otarola, Pilar Rípodas, and Rigel Kivi
Atmos. Meas. Tech., 11, 6409–6417, https://doi.org/10.5194/amt-11-6409-2018,https://doi.org/10.5194/amt-11-6409-2018, 2018
Short summary
A novel retrieval of daytime atmospheric dust and volcanic ash heights through a synergy of AIRS infrared radiances and MODIS L2 optical depths
S. DeSouza-Machado, L. Strow, E. Maddy, O. Torres, G. Thomas, D. Grainger, and A. Robinson
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amtd-8-443-2015,https://doi.org/10.5194/amtd-8-443-2015, 2015
Revised manuscript not accepted
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
How well can brightness temperature differences of spaceborne imagers help to detect cloud phase? A sensitivity analysis regarding cloud phase and related cloud properties
Johanna Mayer, Bernhard Mayer, Luca Bugliaro, Ralf Meerkötter, and Christiane Voigt
Atmos. Meas. Tech., 17, 5161–5185, https://doi.org/10.5194/amt-17-5161-2024,https://doi.org/10.5194/amt-17-5161-2024, 2024
Short summary
ampycloud: an open-source algorithm to determine cloud base heights and sky coverage fractions from ceilometer data
Frédéric P. A. Vogt, Loris Foresti, Daniel Regenass, Sophie Réthoré, Néstor Tarin Burriel, Mervyn Bibby, Przemysław Juda, Simone Balmelli, Tobias Hanselmann, Pieter du Preez, and Dirk Furrer
Atmos. Meas. Tech., 17, 4891–4914, https://doi.org/10.5194/amt-17-4891-2024,https://doi.org/10.5194/amt-17-4891-2024, 2024
Short summary
Simulation and detection efficiency analysis for measurements of polar mesospheric clouds using a spaceborne wide-field-of-view ultraviolet imager
Ke Ren, Haiyang Gao, Shuqi Niu, Shaoyang Sun, Leilei Kou, Yanqing Xie, Liguo Zhang, and Lingbing Bu
Atmos. Meas. Tech., 17, 4825–4842, https://doi.org/10.5194/amt-17-4825-2024,https://doi.org/10.5194/amt-17-4825-2024, 2024
Short summary
The Chalmers Cloud Ice Climatology: retrieval implementation and validation
Adrià Amell, Simon Pfreundschuh, and Patrick Eriksson
Atmos. Meas. Tech., 17, 4337–4368, https://doi.org/10.5194/amt-17-4337-2024,https://doi.org/10.5194/amt-17-4337-2024, 2024
Short summary
The algorithm of microphysical-parameter profiles of aerosol and small cloud droplets based on the dual-wavelength lidar data
Huige Di, Xinhong Wang, Ning Chen, Jing Guo, Wenhui Xin, Shichun Li, Yan Guo, Qing Yan, Yufeng Wang, and Dengxin Hua
Atmos. Meas. Tech., 17, 4183–4196, https://doi.org/10.5194/amt-17-4183-2024,https://doi.org/10.5194/amt-17-4183-2024, 2024
Short summary

Cited articles

Allan, R., Slingo, A., Milton, S., and Culverwell, I.: Exploitation of Geostationary Earth Radiation Budget data using simulations from a numerical weather prediction model: Methodology and data validation, J. Geophys. Res., 110, D14111, https://doi.org/10.1029/2004JD005698, 2005.
August, T., Klaes, D., Schlussel, P., Hultberg, T., Crapeau, M., Arriaga, A., O'Carroll, A., Coppens, D., Munro, R., and Calbet, X.: IASI on Metop-A : Operational Level 2 retrievals after 5 years in orbit, J. Quant. Spectrosc. Ra., 113, 1340–1371, https://doi.org/10.1016/j.jqsrt.2012.02.028, 2012.
Aumann, H. and Pagano, T.: First light results from AIRS on EOS AQUA, in: Proceedings of the SPIE Conference 5548-42, Optical Science and Technology, Crete, 2002.
Aumann, H., Broberg, S., Elliot, D., Gaiser, S., and Gregorich, D.: Three years of AIRS radiometric calibration validation using sea surface temperatures, J. Geophys. Res., 111, 2156–2202, https://doi.org/10.1029/2005JD006822, 2006.
Bauer, P., Auligne, T., Bell, W., Geer, A., Guidard, V., Heilliette, S., Kazumori, M., Kim, M.-J., Liu, E., McNally, A., MacPherson, B., Okamato, K., Renshaw, R., and Riishojgaard, L.-P.: Satellite cloud and precipitation assimilation at operational NWP centres, Q. J. Roy. Meteorol. Soc., 137, 1934–1951, https://doi.org/10.1002/QJ.905, 2011.
Download
Short summary
Thermodynamic fields retrieved from orbiting infrared sounders use a derived set of measurements as their starting point, rather than the actual observations. This leads to problems with noise and sampling. We have developed a fast accurate model with a simple vertical representation of clouds in the atmosphere for use in retrievals, which allows us to use all the actual low-noise measurements at full resolution. These should eventually help produce more accurate weather forecasts.