Dr. Carlos Toledano

Graduate in Physics at Complutense University in Madrid (1999) and PhD at University of Valladolid in 2005. For 2 years he was postdoctoral fellow at the Meteorological Institute, University of Munich (Germany), where he participated in projects such as SAMUM and EARLINET. Then he obtained a postdoctoral researcher position at the Group of Atmospheric Optics, University of Valladolid (Spain) within the “Juan de la Cierva” program of the Spanish Research Council (2008). His research is concentrated in the investigation of the atmospheric aerosol by optical methods, regarding aerosol characterization, data quality assurance and field campaigns. Especial interest is devoted to desert dust and polar regions. He has more than 90 peer-reviewed publications in SCI journals and received the 3M Foundation Award 2006 for Environmental science. Currently he is in charge of the operations, calibration and quality assurance of the Iberian Network for Sun photometer Aerosol Measurements (RIMA), federated to AERONET and integrated into ACTRIS. In 2011 he obtained a researcher position at GOA-UVA within the “Ramon y Cajal” program of the Spanish Research Council. Since 2023 is full professor at University of Valladolid.

Publications

357 entries « ‹ 1 of 8 › »

2025

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.

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.

Links | BibTeX

S. Adriaensen; P. de Vis; J. Gatón; Á. Barreto; A. Bialek; M. Bouvet; J. Fahy; R. González; C. Toledano

Modelling the degree of linear polarization (DoLP) of the Moon’s light with a Cimel CE318-TP9 Conference

Advancement of POLarimetric Observations (APOLO) 18-21 Nov 2024. Kyoto, Japan, 2024.