Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-2813-2016
© 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/amt-9-2813-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Top-of-the-atmosphere shortwave flux estimation from satellite observations: an empirical neural network approach applied with data from the A-train constellation
Universities Space Research Association, Greenbelt,
MD, USA
NASA Goddard Space Flight Center, Greenbelt,
MD, USA
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt,
MD, USA
Alexander Vasilkov
Science Systems and Applications, Inc., Greenbelt,
MD, USA
NASA Goddard Space Flight Center, Greenbelt,
MD, USA
Pawan K. Bhartia
NASA Goddard Space Flight Center, Greenbelt,
MD, USA
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Cited
11 citations as recorded by crossref.
- A New Orbiting Deployable System for Small Satellite Observations for Ecology and Earth Observation E. Martellato et al. 10.3390/rs14092066
- Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile H. Moayedi & S. Hayati 10.1061/(ASCE)GM.1943-5622.0001125
- Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors J. Principe & W. Takeuchi 10.1063/1.5059335
- An investigation of temporal variability of the total column ozone over tropical urban, high altitude, and coastal stations in Western Maharashtra, India G. Kutal et al. 10.1080/01431161.2017.1283073
- Use of Hyper-Spectral Visible and Near-Infrared Satellite Data for Timely Estimates of the Earth’s Surface Reflectance in Cloudy and Aerosol Loaded Conditions: Part 1–Application to RGB Image Restoration Over Land With GOME-2 J. Joiner et al. 10.3389/frsen.2021.716430
- An Artificial Neuron Network With Parameterization Scheme for Estimating Net Surface Shortwave Radiation From Satellite Data Under Clear Sky—Application to Simulated GF-5 Data Set M. Si et al. 10.1109/TGRS.2020.3009647
- Retrieval of Reflected Shortwave Radiation at the Top of the Atmosphere Using Himawari-8/AHI Data S. Lee et al. 10.3390/rs10020213
- A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity A. Vasilkov et al. 10.5194/amt-11-4093-2018
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Retrieval Algorithm for Broadband Albedo at the Top of the Atmosphere S. Lee et al. 10.1007/s13143-018-0001-7
- Estimates of broadband upwelling irradiance from GOES-16 ABI K. McCloskey et al. 10.1016/j.rse.2022.113376
11 citations as recorded by crossref.
- A New Orbiting Deployable System for Small Satellite Observations for Ecology and Earth Observation E. Martellato et al. 10.3390/rs14092066
- Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile H. Moayedi & S. Hayati 10.1061/(ASCE)GM.1943-5622.0001125
- Assessment of solar PV power potential over Asia Pacific region with remote sensing considering meteorological factors J. Principe & W. Takeuchi 10.1063/1.5059335
- An investigation of temporal variability of the total column ozone over tropical urban, high altitude, and coastal stations in Western Maharashtra, India G. Kutal et al. 10.1080/01431161.2017.1283073
- Use of Hyper-Spectral Visible and Near-Infrared Satellite Data for Timely Estimates of the Earth’s Surface Reflectance in Cloudy and Aerosol Loaded Conditions: Part 1–Application to RGB Image Restoration Over Land With GOME-2 J. Joiner et al. 10.3389/frsen.2021.716430
- An Artificial Neuron Network With Parameterization Scheme for Estimating Net Surface Shortwave Radiation From Satellite Data Under Clear Sky—Application to Simulated GF-5 Data Set M. Si et al. 10.1109/TGRS.2020.3009647
- Retrieval of Reflected Shortwave Radiation at the Top of the Atmosphere Using Himawari-8/AHI Data S. Lee et al. 10.3390/rs10020213
- A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity A. Vasilkov et al. 10.5194/amt-11-4093-2018
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Retrieval Algorithm for Broadband Albedo at the Top of the Atmosphere S. Lee et al. 10.1007/s13143-018-0001-7
- Estimates of broadband upwelling irradiance from GOES-16 ABI K. McCloskey et al. 10.1016/j.rse.2022.113376
Latest update: 19 Nov 2024
Short summary
The A-train constellation of satellites provides a unique opportunity to analyze near-simultaneous data from several of these sensors. In this paper, retrievals of cloud/aerosols parameters and total column ozone (TCO) from the Aura Ozone Monitoring Instrument (OMI) have been used to develop a variety of neural networks that estimate TOA SWF globally over ocean and land using only OMI data as inputs. Application of our method to other ultraviolet sensors may provide unique estimates of TOA SWF.
The A-train constellation of satellites provides a unique opportunity to analyze...