Sara Herrero Anta

Originally from León, Spain, she graduated in Physics in 2019 from the Universidad de Valladolid. In 2020, she joined the Atmospheric Optics Group (GOA-UVa) as a laboratory technician through a Garantía Juvenil I+D+i contract. During that time, she also completed a Master’s in Physics at the Universidad de Valladolid, specializing in Atmosphere and Climate, which she finished in 2021. After some time combining technical and research activities, she obtained a predoctoral contract in 2022, co-funded by the Junta de Castilla y León and the Fondo Social Europeo Plus. She’s currently pursuing her PhD with GOA-UVa, where she is part of the group’s calibration team and also she is carrying out teaching duties in the Physics and Optics and Optometry Degrees from the Universidad de Valladolid. Her research focuses on the retrieval of aerosol properties using different remote sensing mesuremens. She has worked with inversion algorithms like GRASP and radiative transfer models such as libRadtran to study how clouds and aerosols impact radiation. She is also actively involved in polar research, especially in the Arctic, where she collaborates with diverse European partners.

Publications

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).

R. Román; M. Momoi; C. Emde; D. González-Fernández; S. Herrero-Anta; B. Mayer; C. Herrero del Barrio

Comparison between two 3D polarized radiative transfer models: MCstar and MYSTIC 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}

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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).

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).

R. Román; R. González; C. Toledano; Á. Barreto; D. Pérez-Ramírez; J.A. Benavent-Oltra; S. Herrero-Anta; F.J. Olmo; D. González-Fernández; C. Herrero del Barrio; V.E. Cachorro; L. Alados-Arboledas; Á.M. de Frutos

RIMO Correction Factor: a correction of a lunar irradiance model to estimate accurate AOD values 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).

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.},

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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.

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.

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

Application in an Antarctic site of a neural network for cloud cover retrieval from all-sky cameras Conference

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

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

CAECENET: Automatic and continuous columnar and vertical aerosol properties from photometer and ceilometer measurements Conference

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

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; A. de Frutos

Perfiles verticales de propiedades de los aerosoles atmosféricos: CAECENET Conference

Oral presentation 10 Jonadas de Investigadoras de Castilla y León, 18-19 Apr 2024 Valladolid, Spain, 2024.

S. Herrero-Anta

Identification of high turbidity aerosol events in the Arctic by sun-photometry: A case of study in Ny-Ålesund, Svalbard Conference

Oral presentation. 8th High Latitude Dust Workshop, 13-14 Feb 2024 Reikjavik, Iceland, 2024.

2023

S. Herrero-Anta; D. Mateos; R. Román; C. Ritter; D. González-Fernández; C. Herrero del Barrio; 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

Svalbard Science Conference 2023 Oslo, Norway, 2023.

Sara Herrero-Anta; Roberto Román; David Mateos; Ramiro González; Juan Carlos Antuña-Sánchez; Marcos Herreras-Giralda; Antonio Fernando Almansa; Daniel González-Fernández; Celia Herrero del Barrio; Carlos Toledano; Victoria Eugenia Cachorro; Ángel Máximo de Frutos

Retrieval of aerosol properties from zenith sky radiance measurements Journal Article

In: Atmospheric Measurement Techniques, vol. 16, no. 19, pp. 4423–4443, 2023.

Abstract | Links | BibTeX

@article{Herrero-Anta2023,

title = {Retrieval of aerosol properties from zenith sky radiance measurements},

author = {Sara Herrero-Anta and Roberto Román and David Mateos and Ramiro González and Juan Carlos Antuña-Sánchez and Marcos Herreras-Giralda and Antonio Fernando Almansa and Daniel González-Fernández and Celia Herrero del Barrio and Carlos Toledano and Victoria Eugenia Cachorro and Ángel Máximo de Frutos},

url = {https://amt.copernicus.org/articles/16/4423/2023/},

doi = {10.5194/amt-16-4423-2023},

year  = {2023},

date = {2023-10-09},

urldate = {2023-10-09},

journal = {Atmospheric Measurement Techniques},

volume = {16},

number = {19},

pages = {4423–4443},

abstract = {This study explores the potential to retrieve aerosol properties with the GRASP algorithm (Generalized Retrieval of Atmosphere and Surface Properties) using as input measurements of zenith sky radiance (ZSR), which are sky radiance values measured in the zenith direction, recorded at four wavelengths by a ZEN-R52 radiometer. To this end, the ZSR measured at 440, 500, 675 and 870?nm by a ZEN-R52 (ZSRZEN), installed in Valladolid (Spain), is employed. This instrument is calibrated by intercomparing the signal of each channel with coincident ZSR values simulated (ZSRSIM) at the same wavelengths with a radiative transfer model (RTM). These simulations are carried out using the GRASP forward module as RTM and the aerosol information from a co-located CE318 photometer belonging to AERONET (AErosol RObotic NETwork) as input. The dark signal and the signal dependence on temperature are characterized and included in the calibration process. The uncertainties for each channel are quantified by an intercomparison with a co-located CE318 photometer, obtaining lower values for shorter wavelengths; they are between 3?% for 440?nm and 21?% for 870?nm. The proposed inversion strategy for the aerosol retrieval using the ZSRZEN measurements as input, i.e. so-called GRASP-ZEN, assumes the aerosol as an external mixture of five pre-calculated aerosol types. A sensitivity analysis is conducted using synthetic ZSRZEN measurements, pointing out that these measurements are sensitive to aerosol load and type. It also assesses that the retrieved aerosol optical depth (AOD) values in general overestimate the reference ones by 0.03, 0.02, 0.02 and 0.01 for 440, 500, 675 and 870?nm, respectively. The calibrated ZSRZEN measurements, recorded during 2.5 years at Valladolid, are inverted by the GRASP-ZEN strategy to retrieve some aerosol properties like AOD. The retrieved AOD shows a high correlation with respect to independent values obtained from a co-located AERONET CE318 photometer, with determination coefficients (r2) of 0.86, 0.85, 0.79 and 0.72 for 440, 500, 675 and 870?nm, respectively, and finding uncertainties between 0.02 and 0.03 with respect to the AERONET values. Finally, the retrieval of other aerosol properties, like aerosol volume concentration for total, fine and coarse modes (VCT, VCF and VCC, respectively), is also explored. The comparison against independent values from AERONET presents r2 values of 0.57, 0.56 and 0.66 and uncertainties of 0.009, 0.016 and 0.02?µm3?µm?2 for VCT, VCF and VCC, respectively},

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pubstate = {published},

tppubtype = {article}

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This study explores the potential to retrieve aerosol properties with the GRASP algorithm (Generalized Retrieval of Atmosphere and Surface Properties) using as input measurements of zenith sky radiance (ZSR), which are sky radiance values measured in the zenith direction, recorded at four wavelengths by a ZEN-R52 radiometer. To this end, the ZSR measured at 440, 500, 675 and 870?nm by a ZEN-R52 (ZSRZEN), installed in Valladolid (Spain), is employed. This instrument is calibrated by intercomparing the signal of each channel with coincident ZSR values simulated (ZSRSIM) at the same wavelengths with a radiative transfer model (RTM). These simulations are carried out using the GRASP forward module as RTM and the aerosol information from a co-located CE318 photometer belonging to AERONET (AErosol RObotic NETwork) as input. The dark signal and the signal dependence on temperature are characterized and included in the calibration process. The uncertainties for each channel are quantified by an intercomparison with a co-located CE318 photometer, obtaining lower values for shorter wavelengths; they are between 3?% for 440?nm and 21?% for 870?nm. The proposed inversion strategy for the aerosol retrieval using the ZSRZEN measurements as input, i.e. so-called GRASP-ZEN, assumes the aerosol as an external mixture of five pre-calculated aerosol types. A sensitivity analysis is conducted using synthetic ZSRZEN measurements, pointing out that these measurements are sensitive to aerosol load and type. It also assesses that the retrieved aerosol optical depth (AOD) values in general overestimate the reference ones by 0.03, 0.02, 0.02 and 0.01 for 440, 500, 675 and 870?nm, respectively. The calibrated ZSRZEN measurements, recorded during 2.5 years at Valladolid, are inverted by the GRASP-ZEN strategy to retrieve some aerosol properties like AOD. The retrieved AOD shows a high correlation with respect to independent values obtained from a co-located AERONET CE318 photometer, with determination coefficients (r2) of 0.86, 0.85, 0.79 and 0.72 for 440, 500, 675 and 870?nm, respectively, and finding uncertainties between 0.02 and 0.03 with respect to the AERONET values. Finally, the retrieval of other aerosol properties, like aerosol volume concentration for total, fine and coarse modes (VCT, VCF and VCC, respectively), is also explored. The comparison against independent values from AERONET presents r2 values of 0.57, 0.56 and 0.66 and uncertainties of 0.009, 0.016 and 0.02?µm3?µm?2 for VCT, VCF and VCC, respectively

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

Retrieval of aerosol properties from zenith sky radiance measurements Conference

European Aerosol Conference 2023, Málaga, Spain, 2023.

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

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

European Aerosol Conference 2023, Málaga, Spain, 2023.

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

Columnar aerosol properties by sun and lunar photometry in the Arctic and in the Antarctica Conference

European Aerosol Conference 2023, Málaga, Spain, 2023.

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

Retrieval of aerosol properties from zenith sky radiance measurements Conference

Workshop on “Recent advancements in remote sensing and modeling of aerosols, clouds and surfaces” GRASP ACE Summer school, Lille, France, 2023.

Celia Herrero del Barrio; David Mateos; Roberto Román; Ramiro González; Sara Herrero-Anta; Daniel González-Fernández; Abel Calle; Carlos Toledano; Victoria Eugenia Cachorro; Ángel Máximo De Frutos Baraja

Analysis of Daytime and Night-Time Aerosol Optical Depth from Solar and Lunar Photometry in Valladolid (Spain) Journal Article

In: Remote Sensing, vol. 15, no. 22, 2023, ISSN: 2072-4292.

Abstract | Links | BibTeX

@article{rs15225362,

title = {Analysis of Daytime and Night-Time Aerosol Optical Depth from Solar and Lunar Photometry in Valladolid (Spain)},

author = {Celia Herrero del Barrio and David Mateos and Roberto Román and Ramiro González and Sara Herrero-Anta and Daniel González-Fernández and Abel Calle and Carlos Toledano and Victoria Eugenia Cachorro and Ángel Máximo De Frutos Baraja},

url = {https://www.mdpi.com/2072-4292/15/22/5362},

doi = {10.3390/rs15225362},

issn = {2072-4292},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Remote Sensing},

volume = {15},

number = {22},

abstract = {Aerosol optical depth (AOD) at night-time has become a hot topic in recent years due to the development of new instruments recording accurate ground-based lunar irradiance measurements, and the development of calibration methods and extraterrestrial irradiance models adapted to lunar photometry. This study uses all daytime and night-time AOD data available at Valladolid (Spain) from October 2016 to March 2022 in order to analyze its behavior and the added contribution of night data. The annual, monthly and daily AOD evolution is studied comparing daytime and night-time values and checking the correlation between them. For this purpose, the daily averages are computed, showing an annual pattern, with low AOD values throughout the year (mean value of AOD at 440 nm: 0.122), where winter months have the lower and summer the higher values, as observed in previous studies. All these AOD values are modulated by frequent desert dust events over the Iberian Peninsula, with a strong influence on daily and monthly mean values in February and March, where the strongest desert outbreaks occurred. The added new data confirm these results and the good correlation between daytime and night-time data. Also, a complete daily evolution is shown, observing that AOD and Ångström exponent (AE) mean values vary by only ±0.02 in 24 h, with a maximum value at 06:00 UTC and minimum at 18:00 UTC for both parameters.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

2022

S. Herrero; R. Román; D. Mateos; J.C. Antuña-Sánchez; C. Toledano; F. Almansa; R. Gonzalez; M. Herreras-Giralda; D. González-Fernández; V.E. Cachorro; A.M. de Frutos

Retrieval of aerosol properties from zenith sky radiance measurements Conference

International Radiation Symposium Thessaloniki, 2022.

R. Román; D. González-Fernández; C. Toledano; C. Emde; V. Cachorro; D. Mateos; S. Herrero-Anta; J. C. Antuña-Sánchez; R. González; J.C. Antuña-Marrero; B. Mayer; A. Calle; A.M. de Frutos

Impact of clouds on cloud-free sky radiances in a partially cloudy scenario Conference

International Radiation Symposium Thessaloniki, Greece, 2022.

D. Mateos; S. Herrero; R. Román; C. Ritter; J.C. Antuña-Sanchez; D. Ruiz-Ramos; D. González-Fernández; R. González; J.C. Antuña-Marrero; C. Toledano; V.E. Cachorro; A. Calle; A.M. de Frutos

Aerosol Radiative Effect in the European Arctic Under High Turbidity Conditions in the Period 2017-2021 by Sun/Lunar Photometry Conference

International Radiation Symposium Thessaloniki, Greece, 2022.

A. Calle; P. Martín; C. Toledano; R. González; R. Román; D. Mateos; V. Cachorro; S. Herrero; J.C. Antuña-Marrero; D. González-Fernández; A.M. de Frutos

Caracterización del espesor óptico de aerosoles en latitudes árticas y antárticas Conference

XIX Congreso de la Asociación Española de Teledetección Pamplona, Spain, 2022.

G.H. Hansen; T. Zielinski; P. Pakszys; C. Ritter; S. Gilardoni; K. Eleftheriadis; N. Kouremeti; D. Mateos; S. Herrero; S. Kazadzis; M. Mazzola; K. Stebel

Re-evaluation and Homogenization of Aerosol Optical Depth Observations in Svalbard (ReHearsol) Technical Report

2022, ISBN: 978-82-425-3073-8.

Abstract | BibTeX

S. Gilardoni; M. Mazzola; A. Viola; A. Lupi; V. Vitale; C. Ritter; N. Kouremeti; R. Krejci; K. Eleftheriadis; D. Mateos; S. Herrero-Anta; G. Hansen

Analysis of aerosol vertical distribution in the arctic using multiple platform observations Conference

Oral presentation Congresso Nazionale dell'Associazione Italiana di Scienze dell'Atmosfera e Meteorologia (AISAM), 15-19 Feb 2022 Milan, Italy, 2022.

2021

Hansen G; Kouremeti N; Gilardoni S; Stebel K; Evangeliou N; Ritter C; Zielinski T; Herrero S; Kazadzis S; Mateos D; Mazzola M; Pakszys P; Eleftheriadis K

Long-term observations of aerosol optical depth and their relation to in-situ aerosol properties in the Svalbard region (LOAD-RIS) Book Chapter

In: pp. 44-61, Svalbard Integrated Arctic Earth Observing System, 2021, ISBN: 978-82-93871-07-1.

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