Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-2813-2016
https://doi.org/10.5194/amt-9-2813-2016
Research article
 | 
07 Jul 2016
Research article |  | 07 Jul 2016

Top-of-the-atmosphere shortwave flux estimation from satellite observations: an empirical neural network approach applied with data from the A-train constellation

Pawan Gupta, Joanna Joiner, Alexander Vasilkov, and Pawan K. Bhartia

Related authors

Parameterizing spectral surface reflectance relationships for the Dark Target aerosol algorithm applied to a geostationary imager
Mijin Kim, Robert C. Levy, Lorraine A. Remer, Shana Mattoo, and Pawan Gupta
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-128,https://doi.org/10.5194/amt-2023-128, 2023
Revised manuscript under review for AMT
Short summary
Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations
Jing Wei, Zhanqing Li, Jun Wang, Can Li, Pawan Gupta, and Maureen Cribb
Atmos. Chem. Phys., 23, 1511–1532, https://doi.org/10.5194/acp-23-1511-2023,https://doi.org/10.5194/acp-23-1511-2023, 2023
Short summary
Low-Cost Air Quality Sensor Evaluation and Calibration in Contrasting Aerosol Environments
Pawan Gupta, Prakash Doraiswamy, Jashwanth Reddy, Palak Balyan, Sagnik Dey, Ryan Chartier, Adeel Khan, Karmann Riter, Brandon Feenstra, Robert C. Levy, Nhu Nguyen Minh Tran, Olga Pikelnaya, Kurinji Selvaraj, Tanushree Ganguly, and Karthik Ganesan
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-140,https://doi.org/10.5194/amt-2022-140, 2022
Revised manuscript not accepted
Short summary
Satellite-based estimation of the impacts of summertime wildfires on PM2.5 concentration in the United States
Zhixin Xue, Pawan Gupta, and Sundar Christopher
Atmos. Chem. Phys., 21, 11243–11256, https://doi.org/10.5194/acp-21-11243-2021,https://doi.org/10.5194/acp-21-11243-2021, 2021
Short summary
Applying the Dark Target aerosol algorithm with Advanced Himawari Imager observations during the KORUS-AQ field campaign
Pawan Gupta, Robert C. Levy, Shana Mattoo, Lorraine A. Remer, Robert E. Holz, and Andrew K. Heidinger
Atmos. Meas. Tech., 12, 6557–6577, https://doi.org/10.5194/amt-12-6557-2019,https://doi.org/10.5194/amt-12-6557-2019, 2019
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Observation of horizontal temperature variations by a spatial heterodyne interferometer using single-sided interferograms
Konstantin Ntokas, Jörn Ungermann, Martin Kaufmann, Tom Neubert, and Martin Riese
Atmos. Meas. Tech., 16, 5681–5696, https://doi.org/10.5194/amt-16-5681-2023,https://doi.org/10.5194/amt-16-5681-2023, 2023
Short summary
Version 8 IMK–IAA MIPAS temperatures from 12–15 µm spectra: Middle and Upper Atmosphere modes
Maya García-Comas, Bernd Funke, Manuel López-Puertas, Norbert Glatthor, Udo Grabowski, Sylvia Kellmann, Michael Kiefer, Andrea Linden, Belén Martínez-Mondéjar, Gabriele P. Stiller, and Thomas von Clarmann
Atmos. Meas. Tech., 16, 5357–5386, https://doi.org/10.5194/amt-16-5357-2023,https://doi.org/10.5194/amt-16-5357-2023, 2023
Short summary
GNSS radio occultation excess-phase processing for climate applications including uncertainty estimation
Josef Innerkofler, Gottfried Kirchengast, Marc Schwärz, Christian Marquardt, and Yago Andres
Atmos. Meas. Tech., 16, 5217–5247, https://doi.org/10.5194/amt-16-5217-2023,https://doi.org/10.5194/amt-16-5217-2023, 2023
Short summary
Impact analysis of processing strategies for long-term GPS zenith tropospheric delay (ZTD)
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu
Atmos. Meas. Tech., 16, 5249–5259, https://doi.org/10.5194/amt-16-5249-2023,https://doi.org/10.5194/amt-16-5249-2023, 2023
Short summary
Irradiance and cloud optical properties from solar photovoltaic systems
James Barry, Stefanie Meilinger, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Christopher Schirrmeister, Rone Yousif, Tina Buchmann, Johannes Grabenstein, Hartwig Deneke, Jonas Witthuhn, Claudia Emde, Felix Gödde, Bernhard Mayer, Leonhard Scheck, Marion Schroedter-Homscheidt, Philipp Hofbauer, and Matthias Struck
Atmos. Meas. Tech., 16, 4975–5007, https://doi.org/10.5194/amt-16-4975-2023,https://doi.org/10.5194/amt-16-4975-2023, 2023
Short summary

Cited articles

Acarreta, J. R., De Haan, J. F., and Stammes, P.: Cloud pressure retrieval using the O2-O2 absorption band at 477 nm, J. Geophys. Res., 109, D05204, https://doi.org/10.1029/2003JD003915, 2004.
Ahmad, Z., Bhartia, P. K., and Krotkov, N.: Spectral properties of backscattered UV radiation in cloudy atmospheres, J. Geophys. Res., 109, D01201, https://doi.org/10.1029/2003JD003395, 2004.
Al-Saadi, J., Carmichael, G., Crawford, J., Emmons, L., Song, C-K., Chang, L.-S., Lee G., Kim, J., Park, R.: NASA Contributions to KORUS-AQ: An International Cooperative Air Quality Field Study in Korea, NASA White Paper available at: https://goo.gl/VhssdX (last access: 3 May 2016), 2015.
Barkstrom, B. R.: The Earth radiation budget experiment (ERBE), B. Am. Meteorol. Soc., 65, 1110–1185, 1984.
Barkstrom, B. R. and Smith, G. L.: The Earth radiation budget experiment: Science and implementation, Rev. Geophys., 24, 379–390, 1986.
Download
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.