Dr. David Mateos

Graduate in Physics at Universidad de Valladolid (2007) and PhD at University of Valladolid in 2012. For one year he was postdoctoral fellow at the AIRE research group, Universidad de Extremadura (Spain), where he participated in several projects and studies mainly about radiative effects of different atmospheric factors and atmospheric ozone column. After this period, he started to work at the Group of Atmospheric Optics in the Universidad de Valladolid since 2014. He obtained a postdoctoral researcher position at the same group, within the “Juan de la Cierva – Incorporación” program of the Spanish Research Council (since 2016). His research is now concentrated in the investigation of the atmospheric aerosols by optical methods, in particular: identification of atmospheric high turbidity episodes, emphasis of mineral dust outbreaks and polar environments; aerosol characterization; radiative budget, among others. He has more than 30 peer-reviewed publications in SCI journals. Currently, he is member of the calibration team of Valladolid site in the AERONET-Europe framework, co-director of two PhD theses, and he continues the main research lines of the GOA-UVa group.

Publications

162 entries « ‹ 1 of 4 › »

2026

S. Herrero-Anta; R. Román; D. González-Fernández; C. Herrero del Barrio; Javier Gatón; Bruno Longarela; D. Mateos; R. González; C. Toledano; A. Calle; V. E. Cachorro; B. Mayer; Á. M. de Frutos

Impact of cloud presence in sky radiances and in the aerosol properties retrieved under partially cloudy scenarios Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Oral presentation).

S. Herrero-Anta; S. Eckhardt; N. Evangeliou; S. Gilardoni; S. Kazadzis; N. Kouremeti; R. Krejci; D. Mateos; M. Mazzola; C. Ritter; R. Román; K. Stebel; T. Zielinski; C. Herrero del Barrio; D. González-Fernández; C. Toledano

A multi-instrumental analysis of the exceptional aerosol load observed in the Arctic during summer 2019 Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

C. Herrero del Barrio; D. Mateos; R. Román; D. González-Fernández; S. Herrero-Anta; R. González; B. Longarela; J. Gatón; A. Calle; C. Toledano; V.E. Cachorro; A. de Frutos

Aerosol monitoring during the 2025 extreme wildfires in the Iberian Peninsula Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

B. Longarela; R. Román; F. Buitrago; D. González-Fernández; J. Gatón; C. Herrero Del Barrio; S. Herrero-Anta; R. González; D. Mateos; L. Doppler; Á. Barreto; C. Toledano; V. E. Cachorro

Daytime and nighttime Cloud Cover retrieval from all-sky images based on neural networks: spatial generalization analysis Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

Á. de Diego; R. Román; D. Mateos; B. Longarela; C. Herrero del Barrio; D. González-Fernández; S. Herrero-Anta; R. Carracedo; R. González; J. Gatón; A. Calle; C. Toledano; V.E. Cachorro; Á. de Frutos

Characterisation of clouds over Valladolid (Spain) from ceilometer measurements Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

R. Román; D. González-Fernández; J.C. Antuña-Sánchez; C. Herrero del Barrio; S. Herrero-Anta; Á. Barreto; V.E. Cachorro; L. Doppler; R. González; C. Ritter; D. Mateos; N. Kouremeti; G. Copes; A. Calle; M.J. Granados-Muñoz; C. Toledano; Á.M. de Frutos

Retrieval of nighttime AOD values with all-sky cameras Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

S. Herrero-Anta; R. Román; D. González-Fernández; C. Herrero del Barrio; Javier Gatón; Bruno Longarela; D. Mateos; R. González; C. Toledano; A. Calle; V. E. Cachorro; B. Mayer; Á. M. de Frutos

3D cloud reconstruction and analysis of their impact on sky radiances for the retrieval of aerosol properties Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

C. Herrero del Barrio; R. Román; S. Herrero-Anta; D. González-Fernández; R. Carracedo; R. González; B. Longarela; J. Gatón; D. Mateos; A. Calle; C. Toledano; V.E. Cachorro; Á. de Frutos

Implementation of an all-sky camera network for automatic and continuous cloud height mapping Conference

RICTA – 9th Iberian Meeting on Aerosol Science and Technology, 1-3 July 2026 Valladolid, Spain, 2026, (Poster presentation).

Celia Herrero del Barrio; Roberto Román; Sara Herrero-Anta; Daniel González-Fernández; Rogelio Carracedo; Ramiro González; Bruno Longarela; Javier Gatón; David Mateos; Abel Calle; Carlos Toledano; Victoria Eugénia Cachorro; Ángel de Frutos

Obtención de mapas de altura de las nubes mediante una red de cámaras de todo cielo Conference

Congreso de la Asociación Española de Teledetección 2026, 8 - 11 de junio de 2026 Cáceres, Spain, 2026, (Poster presentation).

Javier Gatón Herguedas; Abel Calle Montes; Roberto Román Diez; Ramiro González Catón; Daniel González Fernández; Celia Herrero del Barrio; Bruno Longarela Fuente; Sara Herrero Anta; David Mateos Villán; Juan Carlos Antuña Marrero; Carlos Toledano Olmeda; Victoria Cachorro Revilla

Comparación de LST entre medidas in situ y productos satelitales de MODIS, SLSTR y VIIRS en la Base Antártica Marambio Conference

Congreso de la Asociación Española de Teledetección 2026, 8 - 11 de junio de 2026 Cáceres, Spain, 2026, (Oral presentation).

D. González-Fernández; R. Román; D. Mateos; C. Herrero del Barrio; V. E. Cachorro; G. Copes; R. Sánchez; R. D. García; L. Doppler; S. Herrero-Anta; J. C. Antuña-Sánchez; Á. Barreto; R. González; J. Gatón; A. Calle; C. Toledano; Á. de Frutos.

Retrieval of Solar Shortwave Irradiance from All-Sky Camera Images Conference

EGU General Assembly 2026, 3-8 May 2026 Vienna, Austria, 2026, (Poster presentation).

R. Roman; D. Gonzalez-Fernández; J. C. Antuña-Sanchez; C. Herrero del Barrio; S. Herrero-Anta; Á. Barreto; V. E. Cachorro; L. Doppler; R. González; C. Ritter; D. Mateos; N. Kouremeti; G. Copes; A. Calle; M. J. Granados-Muñoz; C. Toledano; Á. M. de Frutos.

Retrieval of nighttime AOD values with all-sky cameras Conference

EGU General Assembly 2026, 3-8 May 2026 Vienna, Austria, 2026, (Poster presentation).

C. Herrero del Barrio; R. Román; S. Herrero-Anta; D. González-Fernández; R. Carracedo; R. González; B. Longarela; J. Gatón; D. Mateos; A. Calle; C. Toledano; V. Cachorro; Á. de Frutos

Cloud-height mapping from all-sky camera network Conference

EGU General Assembly 2026, 3-8 May 2026 Vienna, Austria, 2026, (Poster presentation).

D. Mateos; C. Herrero del Barrio; R. Román; D. González-Fernández; S. Herrero-Anta; R. González; B. Longarela; J. Gatón; A. Calle; C. Toledano; V. Cachorro; Á. de Frutos.

Extreme Aerosol Loadings from Iberian Peninsula Wildfires Conference

EGU General Assembly 2026, 3-8 May 2026 Vienna, Austria, 2026, (Poster presentation).

S. Herrero Anta; R. Román; D. Gonzalez-Fernández; C. Herrero del Barrio; J. Gatón; B. Longarela; D. Mateos; R. González; C. Toledano; A. Calle; V. E. Cachorro; B. Mayer; Á. M. de Frutos

3D cloud reconstruction from all-sky camera images for the analysis of their impact on sky radiances and retrieved aerosol properties Conference

EGU General Assembly 2026, 3-8 May 2026 Vienna, Austria, 2026, (Poster presentation).

R. Roman; D. Gonzalez-Fernández; J. C. Antuña-Sanchez; C. Herrero del Barrio; S. Herrero-Anta; Á. Barreto; V. E. Cachorro; L. Doppler; R. González; C. Ritter; D. Mateos; N. Kouremeti; G. Copes; A. Calle; M. J. Granados-Muñoz; C. Toledano; Á. M. de Frutos.

Retrieval of nighttime AOD values with all-sky cameras Conference

ACTRIS Science Conference 2026, 20-23 April 2026 Oslo, Norway, 2026, (Poster presentation).

C. Herrero del Barrio; R. Román; S. Herrero-Anta; D. González-Fernández; R. Carracedo; R. González; B. Longarela; J. Gatón; D. Mateos; A. Calle; C. Toledano; V. E. Cachorro; Á. de Frutos

All-Sky Camera Network for Stereoscopic Cloud-Height Mapping Conference

ACTRIS Science Conference 2026, 20-23 April 2026 Vienna, Austria, 2026, (Poster presentation).

D. González-Fernández; R. Román; D. Mateos; C. Herrero del Barrio; V. E. Cachorro; G. Copes; R. Sánchez; R. D. García; L. Doppler; S. Herrero-Anta; J. C. Antuña-Sánchez; Á. Barreto; R. González; J. Gatón; A. Calle; C. Toledano; A. de Frutos

Retrieval of Solar Shortwave Irradiance from All-Sky Camera Images Conference

ACTRIS Science Conference 2026, 20-23 April 2026 Oslo, Norway, 2026, (Poster presentation).

D. Mateos; C. Toledano; A. Calle; R. Román; M. Herreras-Giralda; R. González; S. Herrero-Anta; D. González-Fernández; C. Herrero-del Barrio; A. Nisantzi; R. E. Mamouri; S. Groß; V. E. Cachorro; Á. M. Frutos; B. Weinzierl

Saharan and Arabian dust optical properties registered by sun photometry during A-LIFE field experiment in Cyprus Journal Article

In: Atmospheric Chemistry and Physics, vol. 26, no. 3, pp. 1993–2005, 2026.

S. Herrero-Anta; S. Eckhardt; N. Evangeliou; S. Gilardoni; S. Graßl; D. Heslin-Rees; S. Kazadzis; N. Kouremeti; R. Krejci; D. Mateos; M. Mazzola; C. Ritter; R. Román; K. Stebel; T. Zielinski

Exceptional high AOD over Svalbard in summer 2019: a multi-instrumental approach Journal Article

In: Atmospheric Chemistry and Physics, vol. 26, no. 2, pp. 1435–1457, 2026.

2025

Celia Herrero del Barrio; Roberto Román; Rosa D. García; África Barreto; Pablo González-Sicilia; Sara Herrero-Anta; Daniel González-Fernández; Ramiro González; David Mateos; Abel Calle; Carlos Toledano; Victoria E. Cachorro; Ángel de Frutos

Analysis of aerosol properties from the Cumbre Vieja volcanic eruption using multi-instrumental observations Conference

International Conference TAJOGAITE ERUPTION, 17 - 21 November 202 La Palma, Spain, 2025, (Poster presentation).

R. Román; D. González-Fernández; J. C. Antuña-Sánchez; C. Herrero del Barrio; S. Herrero-Anta; Á. Barreto; V. E. Cachorro; L. Doppler; R. González; C. Ritter; D. Mateos; N. Kouremeti; G. Copes; A. Calle; M. J. Granados-Muñoz; C. Toledano; Á. M. Frutos

Star photometry with all-sky cameras to retrieve aerosol optical depth at nighttime Journal Article

In: Atmospheric Measurement Techniques, vol. 18, no. 13, pp. 2847–2875, 2025.

D. González-Fernández; R. Román; D. Mateos; C. Herrero del Barrio; V.E.Cachorro; G. Copes; R. Sánchez; R.D. García; L. Doppler; S. Herrero-Anta; J.C. Antuña-Sánchez; Á. Barreto; R. González; J. Gatón; A. Calle; C. Toledano; Á.M. de Frutos

Neural Network Model to Retrieve Solar Shortwave Irradiance from All-sky Camera Images Conference

II Reunión de la Red Estratégica ACTRIS España, 5-7 Mayo 2025 Granada, Spain, 2025, (Poster presentation).

S. Herrero-Anta; R. Román; D. González-Fernández; C. Emde; D. Mateos; C. Herrero del Barrio; R. González; C. Toledano; A. Calle; V. E. Cachorro; B. Mayer; Á. M. de Frutos

Evaluation of the impact of clouds on the retrieval of aerosol properties Conference

II Reunión de la Red Estratégica ACTRIS España, 5-7 Mayo 2025 Granada, Spain, 2025, (Poster presentation).

J. C. Antuña-Marrero; R. Román; V. E. Cachorro; D. Mateos; C. Toledano; A. Calle; J. C. Antuña-Sánchez; R. Gonzalez; M. Antón; J. Vaquero-Martínez; Á. M. Frutos Baraja

Comparing Integrated Water Vapor Sun Photometer Observations Over the Arctic With ERA5 and MERRA-2 Reanalyses Journal Article

In: Journal of Geophysical Research: Atmospheres, vol. 130, no. 6, pp. e2024JD041120, 2025, (e2024JD041120 2024JD041120).

Abstract | Links | BibTeX

@article{Antuña-Marrero2025b,

title = {Comparing Integrated Water Vapor Sun Photometer Observations Over the Arctic With ERA5 and MERRA-2 Reanalyses},

author = {J. C. Antuña-Marrero and R. Román and V. E. Cachorro and D. Mateos and C. Toledano and A. Calle and J. C. Antuña-Sánchez and R. Gonzalez and M. Antón and J. Vaquero-Martínez and Á.  M. Frutos Baraja},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2024JD041120},

doi = {https://doi.org/10.1029/2024JD041120},

year  = {2025},

date = {2025-03-17},

urldate = {2025-01-01},

journal = {Journal of Geophysical Research: Atmospheres},

volume = {130},

number = {6},

pages = {e2024JD041120},

abstract = {Abstract Atmospheric water vapor, a greenhouse gas, is increasing in the Arctic. It is a scientific challenge to understand the causes for this increase and determine adaptation and mitigation actions to confront its climatic effects. During the last decades, spatial and temporal coverage of water vapor satellite observations increased notably, and reanalysis water vapor estimates have steadily improved. However, the scarce spatial and temporal coverage in the Arctic of integrated water vapor (IWV) surface-based observations limits the representativeness of satellite observations and reanalysis estimate validations. Recently, we validated sun photometer IWV (IWVsp) observations with IWV from radiosondes in the Arctic. Here, we compare the hourly means of IWVsp from 13 Arctic AERONET stations and the IWV from ERA-5 and MERRA-2 reanalyses. The comparison is conducted at hourly timescale for individual stations for two Arctic regions and for the whole Arctic. The comparison showed a moist bias of IWV from reanalyses with respect to IWVsp. The individual station wise pattern shows slightly better accuracy and precision for ERA5 than for MERRA-2 also evident at the selected subregional scale. The differences of IWV from ERA5 and MERRA-2 and IWVsp show no dependence on IWVsp nor the solar zenith angle. This study corroborates that IWVsp may be used for validations of satellite IWV observations and IWV reanalyses products.},

note = {e2024JD041120 2024JD041120},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Juan Carlos Antuña-Marrero; Ángel Frutos; Rene Estevan; Victoria Cachorro; Boris Barja; Sandra Mogo; Albeht Rodríguez-Vega; Carlos Toledano; Frank García; David Mateos; Juan Carlos Antuña-Sánchez; Ramiro González; Jorge Rosas; Roberto Román; Luis Enrique Ramos-Guadalupe; Abel Calle; Iralmy Y. Platero; Carlos Hernández; Nelson Díaz; Joel Díaz

A Long and Fruitful Cooperation in Atmospheric Aerosol Research between Cuba and Spain Journal Article

In: Bulletin of the American Meteorological Society, vol. 106, no. 2, pp. E364 - E377, 2025.

Abstract | Links | BibTeX

@article{Antuña-Marrero2025,

title = {A Long and Fruitful Cooperation in Atmospheric Aerosol Research between Cuba and Spain},

author = {Juan Carlos Antuña-Marrero and Ángel Frutos and Rene Estevan and Victoria Cachorro and Boris Barja and Sandra Mogo and Albeht Rodríguez-Vega and Carlos Toledano and Frank García and David Mateos and Juan Carlos Antuña-Sánchez and Ramiro González and Jorge Rosas and Roberto Román and Luis Enrique Ramos-Guadalupe and Abel Calle and Iralmy Y. Platero and Carlos Hernández and Nelson Díaz and Joel Díaz},

url = {https://journals.ametsoc.org/view/journals/bams/106/2/BAMS-D-23-0138.1.xml},

doi = {10.1175/BAMS-D-23-0138.1},

year  = {2025},

date = {2025-02-21},

urldate = {2025-01-01},

journal = {Bulletin of the American Meteorological Society},

volume = {106},

number = {2},

pages = {E364 - E377},

publisher = {American Meteorological Society},

address = {Boston MA, USA},

abstract = {Cuban and Spanish scientists have been studying the properties of atmospheric aerosols in Camagüey, Cuba, for more than 15?years, achieving notable scientific results at the local, regional, and global levels. Using instruments and expertise supplied by Spain, Cuban scientists have characterized local aerosol optical and microphysical properties and their chemical composition and optical absorbing properties. Aerosol optical depth (AOD) and Ångström exponent observations were used to validate MODIS satellite observations and broadband AOD from local pyrheliometers. Sun photometer cloud optical depth allowed us to characterize local cloudiness and its radiative forcing. Scientific work included climatologies of the solar radiation for the last four decades at Camagüey and of aerosols in the Caribbean basin in the last two decades. Another result was designing, building, and processing of a low-cost all-sky camera. Besides scientific results, the cooperation allowed the Cuban sun photometer observations to contribute to the Red Ibérica de Medida Fotométrica de Aerosoles and AERONET. A workshop celebrating 10?years of cooperation was held at Camagüey in 2016. The workshop participants evaluated the progress, difficulties, and challenges and inaugurated a Spanish angular calibration bench for solar radiation sensors at Camagüey. The workshop also included the first visit of a NASA scientist to Cuba, the only one visit. Cuban scientists became members of the International Science Team of the NASA Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite mission, just launched, participating in its prelaunch activities. Considering the joint capabilities we developed, Cuban–Spanish contribution is expected for the TEMPO postlaunch validation campaign.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Sara Herrero-Anta; Roberto Román; Daniel González-Fernández; Claudia Emde; David Mateos; Celia Herrero Barrio; Ramiro González; Oleg Dubovik; Carlos Toledano; Abel Calle; Victoria E. Cachorro; Bernhard Mayer; Ángel M. de Frutos

Impact of cloud presence on sky radiances and the retrieval of aerosol properties Journal Article

In: Atmospheric Research, vol. 317, pp. 107938, 2025, ISSN: 0169-8095.

Abstract | Links | BibTeX

@article{Herrero-Anta2025,

title = {Impact of cloud presence on sky radiances and the retrieval of aerosol properties},

author = {Sara Herrero-Anta and Roberto Román and Daniel González-Fernández and Claudia Emde and David Mateos and Celia Herrero Barrio and Ramiro González and Oleg Dubovik and Carlos Toledano and Abel Calle and Victoria E. Cachorro and Bernhard Mayer and Ángel M. de Frutos},

url = {https://www.sciencedirect.com/science/article/pii/S0169809525000304},

doi = {https://doi.org/10.1016/j.atmosres.2025.107938},

issn = {0169-8095},

year  = {2025},

date = {2025-01-18},

urldate = {2025-01-01},

journal = {Atmospheric Research},

volume = {317},

pages = {107938},

abstract = {This paper explores the influence of the presence of clouds on sky radiances. It also analyses their impact on the retrieval of aerosol properties when using an inversion algorithm whose radiative transfer model (RTM) is designed for cloud-free atmospheres. For that, synthetic observations are simulated for 9 partially cloudy skies and for their equivalent cloud-free skies, considering 16 different aerosol scenarios. A parameter named cloud enhancement factor (CEF) has been used to determine the modifications induced in the sky radiances by each partially cloudy scenario with respect to the cloud-free sky. This parameter indicates that the sky radiances remaining after applying a cloud-screening are affected by the presence of clouds. In general, they show enhancements between 0 and 20 % with respect to the cloud-free radiances, depending on the cloudy conditions and the scattering angle. The synthetic observations used as input for the retrieval of aerosol properties are the ones required by the inversion strategy used, GRASPpac: the aerosol optical depth (AOD) and sky radiances at 4 different wavelengths together with the ceilometer range corrected signal (RCS). In partially cloudy scenarios with low CEFs, the aerosol properties do not present significant changes with respect to the cloud-free conditions. However, for partially cloudy scenarios with higher CEFs, a clear differentiation between the aerosol optical properties retrieved with and without clouds is observed. In these scenarios, the precision of the retrieval is similar for both conditions, but the accuracy is lower for the cloudy conditions. In particular, under partially cloudy conditions, it is observed an overestimation of the real refractive index (RRI) and the single scattering albedo (SSA) between 0.05 and 0.06 and between 0.03 and 0.06 respectively, and an underestimation of the asymmetry factor (g) and the imaginary refractive index (IRI) of about ?0.02 and ? 0.005, respectively. These values slightly vary with the aerosol load and wavelength for the RRI and SSA. The effects on the size distribution parameters are very small, concluding that the impact of clouds is noticeable in the optical properties but not so much in the microphysical part.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

This paper explores the influence of the presence of clouds on sky radiances. It also analyses their impact on the retrieval of aerosol properties when using an inversion algorithm whose radiative transfer model (RTM) is designed for cloud-free atmospheres. For that, synthetic observations are simulated for 9 partially cloudy skies and for their equivalent cloud-free skies, considering 16 different aerosol scenarios. A parameter named cloud enhancement factor (CEF) has been used to determine the modifications induced in the sky radiances by each partially cloudy scenario with respect to the cloud-free sky. This parameter indicates that the sky radiances remaining after applying a cloud-screening are affected by the presence of clouds. In general, they show enhancements between 0 and 20 % with respect to the cloud-free radiances, depending on the cloudy conditions and the scattering angle. The synthetic observations used as input for the retrieval of aerosol properties are the ones required by the inversion strategy used, GRASPpac: the aerosol optical depth (AOD) and sky radiances at 4 different wavelengths together with the ceilometer range corrected signal (RCS). In partially cloudy scenarios with low CEFs, the aerosol properties do not present significant changes with respect to the cloud-free conditions. However, for partially cloudy scenarios with higher CEFs, a clear differentiation between the aerosol optical properties retrieved with and without clouds is observed. In these scenarios, the precision of the retrieval is similar for both conditions, but the accuracy is lower for the cloudy conditions. In particular, under partially cloudy conditions, it is observed an overestimation of the real refractive index (RRI) and the single scattering albedo (SSA) between 0.05 and 0.06 and between 0.03 and 0.06 respectively, and an underestimation of the asymmetry factor (g) and the imaginary refractive index (IRI) of about ?0.02 and ? 0.005, respectively. These values slightly vary with the aerosol load and wavelength for the RRI and SSA. The effects on the size distribution parameters are very small, concluding that the impact of clouds is noticeable in the optical properties but not so much in the microphysical part.

J. C. Antuña-Marrero; R. Román; V. E. Cachorro; D. Mateos; C. Toledano; A. Calle; J. C. Antuña-Sánchez; R. Gonzalez; M. Antón; J. Vaquero-Martínez; Á. M. Frutos Baraja

Comparing Integrated Water Vapor Sun Photometer Observations Over the Arctic With ERA5 and MERRA-2 Reanalyses Journal Article

In: Journal of Geophysical Research: Atmospheres, vol. 130, no. 6, pp. e2024JD041120, 2025, (e2024JD041120 2024JD041120).

Abstract | Links | BibTeX

@article{https://doi.org/10.1029/2024JD041120,

title = {Comparing Integrated Water Vapor Sun Photometer Observations Over the Arctic With ERA5 and MERRA-2 Reanalyses},

author = {J. C. Antuña-Marrero and R. Román and V. E. Cachorro and D. Mateos and C. Toledano and A. Calle and J. C. Antuña-Sánchez and R. Gonzalez and M. Antón and J. Vaquero-Martínez and Á.  M. Frutos Baraja},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2024JD041120},

doi = {https://doi.org/10.1029/2024JD041120},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

journal = {Journal of Geophysical Research: Atmospheres},

volume = {130},

number = {6},

pages = {e2024JD041120},

abstract = {Abstract Atmospheric water vapor, a greenhouse gas, is increasing in the Arctic. It is a scientific challenge to understand the causes for this increase and determine adaptation and mitigation actions to confront its climatic effects. During the last decades, spatial and temporal coverage of water vapor satellite observations increased notably, and reanalysis water vapor estimates have steadily improved. However, the scarce spatial and temporal coverage in the Arctic of integrated water vapor (IWV) surface-based observations limits the representativeness of satellite observations and reanalysis estimate validations. Recently, we validated sun photometer IWV (IWVsp) observations with IWV from radiosondes in the Arctic. Here, we compare the hourly means of IWVsp from 13 Arctic AERONET stations and the IWV from ERA-5 and MERRA-2 reanalyses. The comparison is conducted at hourly timescale for individual stations for two Arctic regions and for the whole Arctic. The comparison showed a moist bias of IWV from reanalyses with respect to IWVsp. The individual station wise pattern shows slightly better accuracy and precision for ERA5 than for MERRA-2 also evident at the selected subregional scale. The differences of IWV from ERA5 and MERRA-2 and IWVsp show no dependence on IWVsp nor the solar zenith angle. This study corroborates that IWVsp may be used for validations of satellite IWV observations and IWV reanalyses products.},

note = {e2024JD041120 2024JD041120},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

2024

Celia Herrero del Barrio; Roberto Román; Ramiro González; Alberto Cazorla; Marcos Herreras-Giralda; Juan Carlos Antuña-Sánchez; Francisco Molero; Francisco Navas-Guzmán; Antonio Serrano; María Ángeles Obregón; Yolanda Sola; Marco Pandolfi; Sara Herrero-Anta; Daniel González-Fernández; Jorge Muñiz-Rosado; David Mateos; Abel Calle; Carlos Toledano; Victoria E. Cachorro; Ángel M. de Frutos

CAECENET: An automatic system processing photometer and ceilometer data from different networks to provide columnar and vertically-resolved aerosol properties Journal Article

In: PloS one, vol. 19, no. 12, pp. e0311990, 2024.

S. Herrero-Anta; R. Román; D. González-Fernández; C. Herrero del Barrio; D. Mateos; R. González; M. Herreras-Giralda; O. Dubovik; C. Toledano; A. Calle; V. E. Cachorro; Á.M. de Frutos

Improvement on the retrieval of aerosol properties when accounting for light polarization in inversion algorithms Conference

Advancement of POLarimetric Observations (APOLO) Kyoto, Japan, 2024, (Poster presentation).

D. González-Fernández; R. Román; S. Herrero-Anta; V.E. Cachorro; C. Emde; J.C. Antuña-Sánchez; C. Herrero del Barrio; D. Mateos; R. González; C. Toledano; A. Calle; B. Mayer; O. Dubovik; Á.M. de Frutos

Comparison of Polarization for Sky Radiance Simulations with two Radiative Transfer Models Conference

Advancement of POLarimetric Observations (APOLO) Kyoto, Japan, 2024, (Poster presentation).

C. Herrero del Barrio; R. Román; R. González; B. Torres; O. Dubovik; S. Herrero-Anta; D. González-Fernández; D. Mateos; A. Calle; C. Toledano; V. E. Cachorro; Á. de Frutos

Evaluation of the improvements in the aerosol retrieval adding polarization information in the sky radiances Conference

Advancement of POLarimetric Observations (APOLO) Kyoto, Japan, 2024, (Poster presentation).

Daniel González-Fernández; Roberto Román; David Mateos; Celia Herrero del Barrio; Victoria E. Cachorro; Gustavo Copes; Ricardo Sánchez; Rosa Delia García; Lionel Doppler; Sara Herrero-Anta; Juan Carlos Antuña-Sánchez; África Barreto; Ramiro González; Javier Gatón; Abel Calle; Carlos Toledano; Ángel Frutos

Retrieval of Solar Shortwave Irradiance from All-Sky Camera Images Journal Article

In: Remote Sensing, vol. 16, no. 20, 2024, ISSN: 2072-4292.

Abstract | Links | BibTeX

@article{rs16203821,

title = {Retrieval of Solar Shortwave Irradiance from All-Sky Camera Images},

author = {Daniel González-Fernández and Roberto Román and David Mateos and Celia Herrero del Barrio and Victoria E. Cachorro and Gustavo Copes and Ricardo Sánchez and Rosa Delia García and Lionel Doppler and Sara Herrero-Anta and Juan Carlos Antuña-Sánchez and África Barreto and Ramiro González and Javier Gatón and Abel Calle and Carlos Toledano and Ángel Frutos},

url = {https://www.mdpi.com/2072-4292/16/20/3821},

doi = {10.3390/rs16203821},

issn = {2072-4292},

year  = {2024},

date = {2024-10-14},

urldate = {2024-01-01},

journal = {Remote Sensing},

volume = {16},

number = {20},

abstract = {The present work proposes a new model based on a convolutional neural network (CNN) to retrieve solar shortwave (SW) irradiance via the estimation of the cloud modification factor (CMF) from daytime sky images captured by all-sky cameras; this model is named CNN-CMF. To this end, a total of 237,669 sky images paired with SW irradiance measurements obtained by using pyranometers were selected at the following three sites: Valladolid and Izaña, Spain, and Lindenberg, Germany. This dataset was randomly split into training and testing sets, with the latter excluded from the training model in order to validate it using the same locations. Subsequently, the test dataset was compared with the corresponding SW irradiance measurements obtained by the pyranometers in scatter density plots. The linear fit shows a high determination coefficient (R2) of 0.99. Statistical analyses based on the mean bias error (MBE) values and the standard deviation (SD) of the SW irradiance differences yield results close to ?2% and 9%, respectively. The MBE indicates a slight underestimation of the CNN-CMF model compared to the measurement values. After its validation, model performance was evaluated at the Antarctic station of Marambio (Argentina), a location not used in the training process. A similar comparison between the model-predicted SW irradiance and pyranometer measurements yielded R2=0.95, with an MBE of around 2% and an SD of approximately 26%. Although the precision provided by the SD at the Marambio station is lower, the MBE shows that the model’s accuracy is similar to previous results but with a slight overestimation of the SW irradiance. Finally, the determination coefficient improved to 0.99, and the MBE and SD are about 3% and 11%, respectively, when the CNN-CMF model is used to estimate daily SW irradiation values.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

S. Herrero-Anta; R. Román; D. González-Fernández; C. Emde; D. Mateos; C. Herrero del Barrio; R. González; C. Toledano; A. Calle; V. E. Cachorro; B. Mayer; Á. M. de Frutos

Evaluation of the impact of clouds on the retrieval of aerosol properties Conference

AERONET Science and Application Exchange 2024, 17-19 Sep 2024 College Park, EEUU, 2024, (Poster presentation).

C. Herrero del Barrio; R. Román; R. González; A. Cazorla; M. Herreras-Giralda; J.C. Antuña-Sánchez; S. Herrero-Anta; D. González-Fernández; D. Mateos; C. Toledano; V.E. Cachorro; Á. de Frutos

CAECENET: Continuous and automatic columnar and vertical aerosol properties Conference

AERONET Science and Application Exchange 2024, 17-19 Sep 2024 College Park, EEUU, 2024, (Poster presentation).

C. Herrero del Barrio; D. Mateos; R. Román; R. González; S. Herrero-Anta; D. González-Fernández; A. Calle; C. Toledano; V.E. Cachorro; Á.M. de Frutos

Analysis of daytime and night-time aerosol optical depth from sun and lunar photometry at North Central Iberian Peninsula Conference

AERONET Science and Application Exchange 2024, 17-19 Sep 2024 College Park, EEUU, 2024, (Poster presentation).

R. Román; D. González-Fernández; J.C. Antuña-Sánchez; V.E. Cachorro; D. Mateos; Á. Barreto; L. Doppler; S. Herrero-Anta; C. Herrero del Barrio; R. González; A. Calle; C. Toledano; Á.M. de Frutos

Retrieval of night-time AOD values with all-sky cameras Conference

AERONET Science and Application Exchange 2024, 17-19 Sep 2024 College Park, EEUU, 2024, (Poster presentation).

D. Mateos; C. Toledano; A. Calle; R. Román; R. González; S. Herrero-Anta; D. González-Fernández; C. Herrero-del Barrio; A. Nisantzi; V. E. Cachorro; A. M. de Frutos

Saharan and Arabian dust episodes during A-LIFE experiment in Cyprus Conference

AERONET Science and Application Exchange 2024, 17-19 Sep 2024 College Park, EEUU, 2024, (Poster presentation).

D. González-Fernández; R. Román; D. Mateos; C. Herrero del Barrio; V.E.Cachorro; G. Copes; R. Sánchez; R.D. García; L. Doppler; S. Herrero-Anta; J.C. Antuña-Sánchez; Á. Barreto; R. González; J. Gatón; A. Calle; C. Toledano; Á.M. de Frutos

Neural Network Model to Retrieve Solar Shortwave Irradiance from All-sky Camera Images Conference

AERONET Science and Application Exchange 2024, 17-19 Sep 2024 College Park, EEUU, 2024, (Poster presentation).

Daniel González-Fernández; Roberto Román; Juan Carlos Antuña-Sánchez; Victoria E. Cachorro; Gustavo Copes; Sara Herrero-Anta; Celia Herrero del Barrio; África Barreto; Ramiro González; Ramón Ramos; Patricia Martín; David Mateos; Carlos Toledano; Abel Calle; Ángel Frutos

A neural network to retrieve cloud cover from all-sky cameras: A case of study over Antarctica Journal Article

In: Quarterly Journal of the Royal Meteorological Society, vol. n/a, no. n/a, 2024.

Abstract | Links | BibTeX

@article{gonzalez2024CCNeural,

title = {A neural network to retrieve cloud cover from all-sky cameras: A case of study over Antarctica},

author = {Daniel González-Fernández and Roberto Román and Juan Carlos Antuña-Sánchez and Victoria E. Cachorro and Gustavo Copes and Sara Herrero-Anta and Celia Herrero del Barrio and África Barreto and Ramiro González and Ramón Ramos and Patricia Martín and David Mateos and Carlos Toledano and Abel Calle and Ángel Frutos},

url = {https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.4834},

doi = {https://doi.org/10.1002/qj.4834},

year  = {2024},

date = {2024-08-28},

journal = {Quarterly Journal of the Royal Meteorological Society},

volume = {n/a},

number = {n/a},

abstract = {Abstract We present a new model based on a convolutional neural network (CNN) to predict daytime cloud cover (CC) from sky images captured by all-sky cameras, which is called CNN-CC. A total of 49,016 daytime sky images, recorded at different Spanish locations (Valladolid, La Palma, and Izaña) from two different all-sky camera types, are manually classified into different CC (oktas) values by trained researchers. Subsequently, the images are randomly split into a training set and a test set to validate the model. The CC values predicted by the CNN-CC model are compared with the observations made by trained people on the test set, which serve as reference. The predicted CC values closely match the reference values within ±$$ ± $$1?oktas in 99% of the cloud-free and overcast cases. Moreover, this percentage is above 93% for the rest of partially cloudy cases. The mean bias error (MBE) and standard deviation (SD) of the differences between the predicted and reference CC values are calculated, resulting in MBE=0.007$$ mathrmMBE=0.007 $$?oktas and SD=0.674$$ mathrmSD=0.674 $$?oktas. The MBE and SD are also represented for different intervals of measured aerosol optical depth and Ångström exponent values, revealing that the performance of the CNN-CC model does not depend on aerosol load or size. Once the model is validated, the CC obtained from a set of images captured every 5?min, from January 2018 to March 2022, at the Antarctic station of Marambio (Argentina) is compared against direct field observations of CC (not from images) taken at this location, which is not used in the training process. As a result, the model slightly underestimates the observations with an MBE of ?$$ - $$0.3?oktas. The retrieved data are analyzed in detail. The monthly and annual CC values are calculated. Overcast conditions are the most frequent, accounting for 46.5% of all observations throughout the year, rising to 64.5% in January. The annual mean CC value at this location is 5.5?oktas, with a standard deviation of approximately 3.1?oktas. A similar analysis is conducted, separating data by hours, but no significant diurnal cycles are observed except for some isolated months.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Abstract We present a new model based on a convolutional neural network (CNN) to predict daytime cloud cover (CC) from sky images captured by all-sky cameras, which is called CNN-CC. A total of 49,016 daytime sky images, recorded at different Spanish locations (Valladolid, La Palma, and Izaña) from two different all-sky camera types, are manually classified into different CC (oktas) values by trained researchers. Subsequently, the images are randomly split into a training set and a test set to validate the model. The CC values predicted by the CNN-CC model are compared with the observations made by trained people on the test set, which serve as reference. The predicted CC values closely match the reference values within ±$$ ± $$1?oktas in 99% of the cloud-free and overcast cases. Moreover, this percentage is above 93% for the rest of partially cloudy cases. The mean bias error (MBE) and standard deviation (SD) of the differences between the predicted and reference CC values are calculated, resulting in MBE=0.007$$ mathrmMBE=0.007 $$?oktas and SD=0.674$$ mathrmSD=0.674 $$?oktas. The MBE and SD are also represented for different intervals of measured aerosol optical depth and Ångström exponent values, revealing that the performance of the CNN-CC model does not depend on aerosol load or size. Once the model is validated, the CC obtained from a set of images captured every 5?min, from January 2018 to March 2022, at the Antarctic station of Marambio (Argentina) is compared against direct field observations of CC (not from images) taken at this location, which is not used in the training process. As a result, the model slightly underestimates the observations with an MBE of ?$$ - $$0.3?oktas. The retrieved data are analyzed in detail. The monthly and annual CC values are calculated. Overcast conditions are the most frequent, accounting for 46.5% of all observations throughout the year, rising to 64.5% in January. The annual mean CC value at this location is 5.5?oktas, with a standard deviation of approximately 3.1?oktas. A similar analysis is conducted, separating data by hours, but no significant diurnal cycles are observed except for some isolated months.

C. Herrero del Barrio; R. Román; R. González; A. Cazorla; M. Herreras-Giralda; J.C. Antuña-Sánchez; F. Molero; F. Navas-Guzmán; A. Serrano; M.A. Obregon; Y. Sola; M. Pandolfi; S. Herrero-Anta; D. González-Fernández; J. Muñiz-Rosado; D. Mateos; A. Calle; C. Toledano; V.E. Cachorro; Á.M de Frutos

CAECENET: Continuous and automatic columnar and vertical aerosol properties Conference

Poster presentation The European Aerosol Conference EAC2024 Tampere, Finland, 2024.

C. Herrero del Barrio; R. Román; S. Herrero-Anta; Á. Barreto; Pablo Gonzalez-Sicilia; D. González-Fernández; R. González; D. Mateos; A. Calle; C. Toledano; V.E. Cachorro; Á.M de Frutos

Multi-instrumental observations for the analysis of aerosol optical properties at the cumbre vieja volcanic eruption Conference

Oral presentation RICTA - 8th Iberian Meeting on Aerosol Science and Technology A Coruña, Spain, 2024.

C. Herrero del Barrio; R. Román; R. González; A. Cazorla; M. Herreras-Giralda; J.C. Antuña-Sánchez; F. Molero; F. Navas-Guzmán; A. Serrano; M.A. Obregon; Y. Sola; M. Pandolfi; S. Herrero-Anta; D. González-Fernández; J. Muñiz-Rosado; D. Mateos; A. Calle; C. Toledano; V.E. Cachorro; Á.M de Frutos

CAECENET: Continuous and automatic columnar and vertical aerosol properties Conference

Poster presentation RICTA - 8th Iberian Meeting on Aerosol Science and Technology A Coruña, Spain, 2024.

D. Mateos; C. Toledano; A. Calle; R. Román; R. González; S. Herrero-Anta; D. González-Fernández; C. Herrero-del Barrio; A. Nisantzi; V. E. Cachorro; Á.M. de Frutos

Analysis of mineral dust episodes during a-life experiment in cyprus Conference

Poster presentation RICTA - 8th Iberian Meeting on Aerosol Science and Technology A Coruña, Spain, 2024.

S. Herrero-Anta; D. Mateos; S. Graßl; C. Ritter; S. Gilardoni; M. Mazzola; K. Stebel; S. Eckhardt; C. Herrero del Barrio; D. González-Fernández; R. Román; C. Toledano

Exceptional aerosol load observed in the arctic during summer 2019 Conference

Oral presentation RICTA - 8th Iberian Meeting on Aerosol Science and Technology A Coruña, Spain, 2024.

A. Calle; J. Gatón; R. González; R. Carracedo; R. Román; P. Martín; D. Mateos; C. Toledano; V. Cachorro; J.A. Sobrino; D. Skokovich; A.M. de Frutos

Puesta en operación, de instrumentación, en la Base Antártica de Marambio Conference

XX Congreso de la Asociación Española de Teledetección AET2024, 4-7 Jun 2024 Cádiz, Spain, 2024.

S. Herrero-Anta; C. Herrero del Barrio; D. Mateos; R. Román; D. González-Fernández; R. González; C. Toledano; V.E. Cachorro; A. Calle; Á.M. de Frutos

Caracterización de eventos de alta turbiedad por fotometría solar en el Ártico europeo entre 2017-2020 y su correspondiente efecto radiativo Conference

Poster presentation X Simposio de estudios polares 15-17 May 2024 Salamanca, Spain, 2024.

D. González-Fernández; R. Román; J.C. Antuña-Sánchez; V.E. Cachorro; G. Copes; S. Herrero-Anta; C. Herrero-del Barrio; Á. Barreto; R. González; R. Ramos; P. Martín; D. Mateos; C. Toledano; A. Calle; Á.M. de Frutos

Development and application over an Antarctic station of a neural network model to retrieve cloud cover from all-sky cameras Conference

Poster presentation X Simposio de estudios polares 15-17 May 2024 Salamanca, Spain, 2024.

D. Mateos; R. González; S. Herrero-Anta; C. Herrero del Barrio; R. Román; D. González-Fernández; E. Asmi; E. Rodriguez; I.C. Lau; R. D’Elia; C. Toledano; V.E. Cachorro; A. Calle; Á.M. de Frutos

Seguimiento de una pluma de aerosol originado por la quema de biomasa desde Australia hasta la Antártida Conference

Poster presentation X Simposio de estudios polares 15-17 May 2024 Salamanca, Spain, 2024.

S. Herrero-Anta; C. Herrero del Barrio; D. Mateos; R. Román; C. Ritter; D. González-Fernández; R. González; C. Toledano; V.E. Cachorro; A. Calle; Á.M. de Frutos

Aerosol properties retrieved under high turbidity conditions and the corresponding aerosol radiative effect in the European Arctic in the period 2017-2022 by sun photometry Conference

Poster presentation ACTRIS Science Conference 13-16 May 2024 Rennes, France, 2024.

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