Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-529-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-529-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
JCET, University of Maryland, Baltimore County, Baltimore, Maryland, USA
L. Larrabee Strow
JCET, University of Maryland, Baltimore County, Baltimore, Maryland, USA
Department of Physics, University of Maryland, Baltimore County, Baltimore, Maryland, USA
Andrew Tangborn
JCET, University of Maryland, Baltimore County, Baltimore, Maryland, USA
Xianglei Huang
University of Michigan, Ann Arbor, Michigan, USA
Xiuhong Chen
University of Michigan, Ann Arbor, Michigan, USA
NASA Langley Research Center, Langley, Virginia, USA
Science Systems and Applications, Inc, Hampton, Virginia, USA
Qiguang Yang
Science Systems and Applications, Inc, Hampton, Virginia, USA
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Cited
15 citations as recorded by crossref.
- Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature L. Strow & S. DeSouza-Machado 10.5194/amt-13-4619-2020
- Evaluation of Radiative Transfer Models With Clouds H. Aumann et al. 10.1029/2017JD028063
- An Algorithm to Derive Temperature and Humidity Profile Changes Using Spatially and Temporally Averaged Spectral Radiance Differences F. Pan et al. 10.1175/JTECH-D-19-0143.1
- Comparison of optimal estimation HDO∕H<sub>2</sub>O retrievals from AIRS with ORACLES measurements R. Herman et al. 10.5194/amt-13-1825-2020
- Validation and error estimation of AIRS MUSES CO profiles with HIPPO, ATom, and NOAA GML aircraft observations J. Hegarty et al. 10.5194/amt-15-205-2022
- A simulation-experiment-based assessment of retrievals of above-cloud temperature and water vapor using a hyperspectral infrared sounder J. Feng et al. 10.5194/amt-14-5717-2021
- Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals A. Guillaume et al. 10.5194/amt-12-4361-2019
- kCARTA: a fast pseudo line-by-line radiative transfer algorithm with analytic Jacobians, fluxes, nonlocal thermodynamic equilibrium, and scattering for the infrared S. DeSouza-Machado et al. 10.5194/amt-13-323-2020
- Global Evaluation of the Fidelity of Clouds in the ECMWF Integrated Forecast System H. Aumann et al. 10.1029/2022EA002652
- Evaluation of single-footprint AIRS CH<sub>4</sub> profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. 10.5194/amt-14-335-2021
- CLIMCAPS observing capability for temperature, moisture, and trace gases from AIRS/AMSU and CrIS/ATMS N. Smith & C. Barnet 10.5194/amt-13-4437-2020
- Characterization and evaluation of AIRS-based estimates of the deuterium content of water vapor J. Worden et al. 10.5194/amt-12-2331-2019
- Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS F. Irion et al. 10.5194/amt-11-971-2018
- Assessment of the accuracy of scaling methods for radiance simulations at far and mid infrared wavelengths M. Martinazzo et al. 10.1016/j.jqsrt.2021.107739
- Uncertainty Characterization and Propagation in the Community Long-Term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS) N. Smith & C. Barnet 10.3390/rs11101227
15 citations as recorded by crossref.
- Establishment of AIRS climate-level radiometric stability using radiance anomaly retrievals of minor gases and sea surface temperature L. Strow & S. DeSouza-Machado 10.5194/amt-13-4619-2020
- Evaluation of Radiative Transfer Models With Clouds H. Aumann et al. 10.1029/2017JD028063
- An Algorithm to Derive Temperature and Humidity Profile Changes Using Spatially and Temporally Averaged Spectral Radiance Differences F. Pan et al. 10.1175/JTECH-D-19-0143.1
- Comparison of optimal estimation HDO∕H<sub>2</sub>O retrievals from AIRS with ORACLES measurements R. Herman et al. 10.5194/amt-13-1825-2020
- Validation and error estimation of AIRS MUSES CO profiles with HIPPO, ATom, and NOAA GML aircraft observations J. Hegarty et al. 10.5194/amt-15-205-2022
- A simulation-experiment-based assessment of retrievals of above-cloud temperature and water vapor using a hyperspectral infrared sounder J. Feng et al. 10.5194/amt-14-5717-2021
- Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals A. Guillaume et al. 10.5194/amt-12-4361-2019
- kCARTA: a fast pseudo line-by-line radiative transfer algorithm with analytic Jacobians, fluxes, nonlocal thermodynamic equilibrium, and scattering for the infrared S. DeSouza-Machado et al. 10.5194/amt-13-323-2020
- Global Evaluation of the Fidelity of Clouds in the ECMWF Integrated Forecast System H. Aumann et al. 10.1029/2022EA002652
- Evaluation of single-footprint AIRS CH<sub>4</sub> profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. 10.5194/amt-14-335-2021
- CLIMCAPS observing capability for temperature, moisture, and trace gases from AIRS/AMSU and CrIS/ATMS N. Smith & C. Barnet 10.5194/amt-13-4437-2020
- Characterization and evaluation of AIRS-based estimates of the deuterium content of water vapor J. Worden et al. 10.5194/amt-12-2331-2019
- Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS F. Irion et al. 10.5194/amt-11-971-2018
- Assessment of the accuracy of scaling methods for radiance simulations at far and mid infrared wavelengths M. Martinazzo et al. 10.1016/j.jqsrt.2021.107739
- Uncertainty Characterization and Propagation in the Community Long-Term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS) N. Smith & C. Barnet 10.3390/rs11101227
Latest update: 03 Oct 2023
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.
Thermodynamic fields retrieved from orbiting infrared sounders use a
derived set of...
