Articles | Volume 9, issue 1
https://doi.org/10.5194/amt-9-53-2016
© 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-9-53-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jan 2016
Research article |
| 15 Jan 2016
Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
Atmospheric Optics Group, Valladolid University, Valladolid, Spain
O. E. García
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
E. Cuevas
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
V. E. Cachorro
Atmospheric Optics Group, Valladolid University, Valladolid, Spain
A. Barreto
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
Cimel Electronique, Paris, France
C. Guirado-Fuentes
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
Atmospheric Optics Group, Valladolid University, Valladolid, Spain
N. Kouremeti
Physikalish-Meteorologisches Observatorium, Davos, World Radiation Center, Davos, Switzerland
J. J. Bustos
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
P. M. Romero-Campos
Izaña Atmospheric Research Center (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
A. M. de Frutos
Atmospheric Optics Group, Valladolid University, Valladolid, Spain
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- Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
- Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data R. Urraca et al. 10.1016/j.solener.2018.02.059
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18 citations as recorded by crossref.
- Resilient futures of a small island: A participatory approach in Tenerife (Canary Islands) to address climate change Y. Hernandez et al. 10.1016/j.envsci.2017.11.008
- Compatibility of different measurement techniques of global solar radiation and application for long-term observations at Izaña Observatory R. García et al. 10.5194/amt-10-731-2017
- Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives X. Wei et al. 10.1080/10643389.2019.1665944
- Investigation of artificial neural network performance in the aerosol properties retrieval N. Srivastava et al. 10.2166/wcc.2021.336
- Assessment of Sun photometer Langley calibration at the high-elevation sites Mauna Loa and Izaña C. Toledano et al. 10.5194/acp-18-14555-2018
- Screening Approach of the Langley Calibration Station for Sun Photometers in China L. Xun et al. 10.3390/atmos14111641
- ELIFAN, an algorithm for the estimation of cloud cover from sky imagers M. Lothon et al. 10.5194/amt-12-5519-2019
- Improved Aerosol Retrievals Over Complex Regions Using NPP Visible Infrared Imaging Radiometer Suite Observations Y. Yang et al. 10.1029/2019EA000574
- An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model F. Li et al. 10.1016/j.chemosphere.2024.142820
- A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements W. Wandji Nyamsi et al. 10.5194/amt-13-3061-2020
- Urban Health Related Air Quality Indicators over the Middle East and North Africa Countries Using Multiple Satellites and AERONET Data M. El-Nadry et al. 10.3390/rs11182096
- Description of the Baseline Surface Radiation Network (BSRN) station at the Izaña Observatory (2009–2017): measurements and quality control/assurance procedures R. García et al. 10.5194/gi-8-77-2019
- Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models J. Yeom et al. 10.1109/TGRS.2021.3107542
- Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data R. Urraca et al. 10.1016/j.solener.2018.02.059
- Analysis of Size Distribution, Chemical Composition, and Optical Properties of Mineral Dust Particles from Dry Deposition Measurement in Tenerife: Determined by Single-Particle Characterization A. Waza et al. 10.3390/atmos14040700
- Field comparison of dry deposition samplers for collection of atmospheric mineral dust: results from single-particle characterization A. Waza et al. 10.5194/amt-12-6647-2019
- Reconstruction of historical aerosol optical depth time series over Romania during summertime A. Dumitrescu et al. 10.1002/joc.5118
- An institutional analysis to address climate change adaptation in Tenerife (Canary Islands) Y. Hernandez et al. 10.1016/j.envsci.2018.07.017
2 citations as recorded by crossref.
- Reconstruction of long‐term aerosol optical depth series with sunshine duration records A. Sanchez‐Romero et al. 10.1002/2015GL067543
- Evaluation of the representativeness of ground-based visibility for analysing the spatial and temporal variability of aerosol optical thickness in China Z. Zhang et al. 10.1016/j.atmosenv.2016.09.060
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
This paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural networks (ANNs) from 1941 to 2001 and AOD measurements directly obtained with a precision filter radiometer (PFR) between 2003 and 2013.
This paper presents the reconstruction of a 73-year time series of the aerosol optical depth...
