Articles | Volume 16, issue 21
https://doi.org/10.5194/acp-16-13791-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-13791-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Nov 2016
Research article |
| 08 Nov 2016
The spectral signature of cloud spatial structure in shortwave irradiance
Shi Song
Department of Atmospheric and Oceanic Sciences, University of Colorado,
Boulder, CO, USA
Laboratory for Atmospheric and Space Physics, University of Colorado,
Boulder, CO, USA
K. Sebastian Schmidt
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences, University of Colorado,
Boulder, CO, USA
Laboratory for Atmospheric and Space Physics, University of Colorado,
Boulder, CO, USA
Peter Pilewskie
Department of Atmospheric and Oceanic Sciences, University of Colorado,
Boulder, CO, USA
Laboratory for Atmospheric and Space Physics, University of Colorado,
Boulder, CO, USA
Michael D. King
Laboratory for Atmospheric and Space Physics, University of Colorado,
Boulder, CO, USA
Andrew K. Heidinger
NOAA Center for Satellite Applications and Research, Madison, WI, USA
Andi Walther
NOAA Center for Satellite Applications and Research, Madison, WI, USA
Hironobu Iwabuchi
Center for Atmospheric and Oceanic Studies, Tohoku University, Sendai, Japan
Gala Wind
Space Systems and Applications, INC., Greenbelt, MD, USA
Odele M. Coddington
Laboratory for Atmospheric and Space Physics, University of Colorado,
Boulder, CO, USA
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Cited
12 citations as recorded by crossref.
- Arctic Radiation-IceBridge Sea and Ice Experiment: The Arctic Radiant Energy System during the Critical Seasonal Ice Transition W. Smith et al. 10.1175/BAMS-D-14-00277.1
- Methodology and Case Study for Validation of Aircraft-Induced Clouds from Hyperspectral Imagery A. Rose et al. 10.3390/atmos13081257
- Internet of Things System of Spatial Structure Sports Events Health Monitoring Based on Cloud Computing R. Feng et al. 10.1155/2022/1354640
- The Education and Research 3D Radiative Transfer Toolbox (EaR3T) – towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals H. Chen et al. 10.5194/amt-16-1971-2023
- Analysis and development of correction procedures for airborne irradiance measurements: From raw data to geophysical products G. Brogniez et al. 10.1016/j.jqsrt.2025.109504
- Segmentation-based multi-pixel cloud optical thickness retrieval using a convolutional neural network V. Nataraja et al. 10.5194/amt-15-5181-2022
- Cloud phase characteristics over Southeast Asia from A-Train satellite observations Y. Hong & L. Di Girolamo 10.5194/acp-20-8267-2020
- The effect of local climatic conditions on the building integration of photovoltaics N. Skandalos et al. 10.1088/1755-1315/1123/1/012020
- Above-cloud aerosol radiative effects based on ORACLES 2016 and ORACLES 2017 aircraft experiments S. Cochrane et al. 10.5194/amt-12-6505-2019
- Surface Solar Irradiance in Continental Shallow Cumulus Fields: Observations and Large-Eddy Simulation J. Gristey et al. 10.1175/JAS-D-19-0261.1
- Empirically derived parameterizations of the direct aerosol radiative effect based on ORACLES aircraft observations S. Cochrane et al. 10.5194/amt-14-567-2021
- Impact of season, cloud cover, and air pollution on different spectral regions of ultraviolet and visible incident solar radiation at the surface M. Musiolková et al. 10.1002/qj.4102
12 citations as recorded by crossref.
- Arctic Radiation-IceBridge Sea and Ice Experiment: The Arctic Radiant Energy System during the Critical Seasonal Ice Transition W. Smith et al. 10.1175/BAMS-D-14-00277.1
- Methodology and Case Study for Validation of Aircraft-Induced Clouds from Hyperspectral Imagery A. Rose et al. 10.3390/atmos13081257
- Internet of Things System of Spatial Structure Sports Events Health Monitoring Based on Cloud Computing R. Feng et al. 10.1155/2022/1354640
- The Education and Research 3D Radiative Transfer Toolbox (EaR3T) – towards the mitigation of 3D bias in airborne and spaceborne passive imagery cloud retrievals H. Chen et al. 10.5194/amt-16-1971-2023
- Analysis and development of correction procedures for airborne irradiance measurements: From raw data to geophysical products G. Brogniez et al. 10.1016/j.jqsrt.2025.109504
- Segmentation-based multi-pixel cloud optical thickness retrieval using a convolutional neural network V. Nataraja et al. 10.5194/amt-15-5181-2022
- Cloud phase characteristics over Southeast Asia from A-Train satellite observations Y. Hong & L. Di Girolamo 10.5194/acp-20-8267-2020
- The effect of local climatic conditions on the building integration of photovoltaics N. Skandalos et al. 10.1088/1755-1315/1123/1/012020
- Above-cloud aerosol radiative effects based on ORACLES 2016 and ORACLES 2017 aircraft experiments S. Cochrane et al. 10.5194/amt-12-6505-2019
- Surface Solar Irradiance in Continental Shallow Cumulus Fields: Observations and Large-Eddy Simulation J. Gristey et al. 10.1175/JAS-D-19-0261.1
- Empirically derived parameterizations of the direct aerosol radiative effect based on ORACLES aircraft observations S. Cochrane et al. 10.5194/amt-14-567-2021
- Impact of season, cloud cover, and air pollution on different spectral regions of ultraviolet and visible incident solar radiation at the surface M. Musiolková et al. 10.1002/qj.4102
Saved (preprint)
Latest update: 30 Jul 2025
Short summary
The radiative effects of spatially complex cloud fields are notoriously difficult to estimate and are afflicted with errors up to ±50 % of the incident solar radiation. We find that horizontal photon transport, the leading cause for these three-dimensional effects, manifests itself through a spectral fingerprint – a new observable that holds promise for reducing the errors associated with spatial complexity by moving the problem to the spectral dimension.
The radiative effects of spatially complex cloud fields are notoriously difficult to estimate...
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