Articles | Volume 4, issue 11
https://doi.org/10.5194/amt-4-2375-2011
© Author(s) 2011. 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-4-2375-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Nov 2011
Research article |
| 03 Nov 2011
Tropospheric ozone column retrieval at northern mid-latitudes from the Ozone Monitoring Instrument by means of a neural network algorithm
P. Sellitto
Earth Observation Laboratory, Department of Computer, Systems and Industrial Engineering, Tor Vergata University, Via del Politecnico 1, 00133 Rome, Italy
now at: Laboratoire Inter-universitaire des Systèmes Atmosphériques, CNRS UMR7583, Universités Paris-Est et Paris Diderot, CNRS, 61 Avenue du Général de Gaulle, 94010 Créteil, France
B. R. Bojkov
European Space Agency, Via Galileo Galilei, 00044 Frascati, Rome, Italy
X. Liu
Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, MS-50, Cambridge, MA 02138, USA
K. Chance
Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, MS-50, Cambridge, MA 02138, USA
F. Del Frate
Earth Observation Laboratory, Department of Computer, Systems and Industrial Engineering, Tor Vergata University, Via del Politecnico 1, 00133 Rome, Italy
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Cited
23 citations as recorded by crossref.
- Tropospheric column amount of ozone retrieved from SCIAMACHY limb–nadir-matching observations F. Ebojie et al. 10.5194/amt-7-2073-2014
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- State of air pollutants and related health risk over Haryana India as viewed from satellite platform in COVID-19 lockdown scenario D. Singh et al. 10.1007/s41324-021-00410-9
- Global tropospheric ozone column retrievals from OMI data by means of neural networks A. Di Noia et al. 10.5194/amt-6-895-2013
- Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations G. Huang et al. 10.5194/amt-10-2455-2017
- Can artificial neural networks be used to predict the origin of ozone episodes? T. Fontes et al. 10.1016/j.scitotenv.2014.04.077
- Volcanic ash detection and retrievals using MODIS data by means of neural networks M. Picchiani et al. 10.5194/amt-4-2619-2011
- COVID-19 Pandemic and City-Level Nitrogen Dioxide (NO2) Reduction for Urban Centres of India A. Siddiqui et al. 10.1007/s12524-020-01130-7
- RETRACTED ARTICLE: On using stacked neural network for multi-sensor data merging to enhance aerosol data assimilation A. Ali et al. 10.1007/s00521-012-1318-2
- Ozone correlations between mid-tropospheric partial columns and the near-surface at two mid-atlantic sites during the DISCOVER-AQ campaign in July 2011 D. Martins et al. 10.1007/s10874-013-9259-4
- The feasibility of retrieving vertical temperature profiles from satellite nadir UV observations: A sensitivity analysis and an inversion experiment with neural network algorithms P. Sellitto & F. Del Frate 10.1016/j.jqsrt.2014.02.023
- Characterising the seasonal and geographical variability in tropospheric ozone, stratospheric influence and recent changes R. Williams et al. 10.5194/acp-19-3589-2019
- Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
- Tropospheric ozone column retrieval from OMI data by means of neural networks: a validation exercise with ozone soundings over Europe A. Noia et al. 10.1186/1687-6180-2013-21
- Detection of anomalies in the UV–vis reflectances from the Ozone Monitoring Instrument N. Gorkavyi et al. 10.5194/amt-14-961-2021
- Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records D. Loyola & M. Coldewey-Egbers 10.1186/1687-6180-2012-91
- Analysis of the potential of one possible instrumental configuration of the next generation of IASI instruments to monitor lower tropospheric ozone P. Sellitto et al. 10.5194/amt-6-621-2013
- A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements G. Saponaro et al. 10.5194/amt-6-2301-2013
- A probe into the behaviour of total ozone time series through multifractal detrended fluctuation analysis S. Chakraborty & S. Chattopadhyay 10.1007/s00704-022-03967-z
- Monitoring the lowermost tropospheric ozone with thermal infrared observations from a geostationary platform: performance analyses for a future dedicated instrument P. Sellitto et al. 10.5194/amt-7-391-2014
- Ozone pollution: What can we see from space? A case study G. Foret et al. 10.1002/2013JD021340
- On the role of visible radiation in ozone profile retrieval from nadir UV/VIS satellite measurements: An experiment with neural network algorithms inverting SCIAMACHY data P. Sellitto et al. 10.1016/j.jqsrt.2012.04.007
- Volcanic ash detection and retrievals from MODIS data by means of Neural Networks M. Picchiani et al. 10.5194/amtd-4-2567-2011
22 citations as recorded by crossref.
- Tropospheric column amount of ozone retrieved from SCIAMACHY limb–nadir-matching observations F. Ebojie et al. 10.5194/amt-7-2073-2014
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- State of air pollutants and related health risk over Haryana India as viewed from satellite platform in COVID-19 lockdown scenario D. Singh et al. 10.1007/s41324-021-00410-9
- Global tropospheric ozone column retrievals from OMI data by means of neural networks A. Di Noia et al. 10.5194/amt-6-895-2013
- Validation of 10-year SAO OMI Ozone Profile (PROFOZ) product using ozonesonde observations G. Huang et al. 10.5194/amt-10-2455-2017
- Can artificial neural networks be used to predict the origin of ozone episodes? T. Fontes et al. 10.1016/j.scitotenv.2014.04.077
- Volcanic ash detection and retrievals using MODIS data by means of neural networks M. Picchiani et al. 10.5194/amt-4-2619-2011
- COVID-19 Pandemic and City-Level Nitrogen Dioxide (NO2) Reduction for Urban Centres of India A. Siddiqui et al. 10.1007/s12524-020-01130-7
- RETRACTED ARTICLE: On using stacked neural network for multi-sensor data merging to enhance aerosol data assimilation A. Ali et al. 10.1007/s00521-012-1318-2
- Ozone correlations between mid-tropospheric partial columns and the near-surface at two mid-atlantic sites during the DISCOVER-AQ campaign in July 2011 D. Martins et al. 10.1007/s10874-013-9259-4
- The feasibility of retrieving vertical temperature profiles from satellite nadir UV observations: A sensitivity analysis and an inversion experiment with neural network algorithms P. Sellitto & F. Del Frate 10.1016/j.jqsrt.2014.02.023
- Characterising the seasonal and geographical variability in tropospheric ozone, stratospheric influence and recent changes R. Williams et al. 10.5194/acp-19-3589-2019
- Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
- Tropospheric ozone column retrieval from OMI data by means of neural networks: a validation exercise with ozone soundings over Europe A. Noia et al. 10.1186/1687-6180-2013-21
- Detection of anomalies in the UV–vis reflectances from the Ozone Monitoring Instrument N. Gorkavyi et al. 10.5194/amt-14-961-2021
- Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records D. Loyola & M. Coldewey-Egbers 10.1186/1687-6180-2012-91
- Analysis of the potential of one possible instrumental configuration of the next generation of IASI instruments to monitor lower tropospheric ozone P. Sellitto et al. 10.5194/amt-6-621-2013
- A neural network algorithm for cloud fraction estimation using NASA-Aura OMI VIS radiance measurements G. Saponaro et al. 10.5194/amt-6-2301-2013
- A probe into the behaviour of total ozone time series through multifractal detrended fluctuation analysis S. Chakraborty & S. Chattopadhyay 10.1007/s00704-022-03967-z
- Monitoring the lowermost tropospheric ozone with thermal infrared observations from a geostationary platform: performance analyses for a future dedicated instrument P. Sellitto et al. 10.5194/amt-7-391-2014
- Ozone pollution: What can we see from space? A case study G. Foret et al. 10.1002/2013JD021340
- On the role of visible radiation in ozone profile retrieval from nadir UV/VIS satellite measurements: An experiment with neural network algorithms inverting SCIAMACHY data P. Sellitto et al. 10.1016/j.jqsrt.2012.04.007
1 citations as recorded by crossref.
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