Celia Herrero del Barrio

Graduated in Physics at University of Valladolid (2022), she started collaborating with the group while she was doing the Master’s in Physics, Atmosphere and Climate at University of Valladolid (2023). After that she, she obtained a contract under Programa Investigo, funded by NextGenerationEU, since then she has been part of the group’s calibration team. Currently she is pursuing her PhD supported by a predoctoral contract co-funded by the Junta de Castilla y León and the Fondo Social Europeo Plus. She has worked on vertical profiling of atmospheric aerosols using photometers and ceilometers from the CAECENET network, using inversion algorithms such as GRASP. She has experience in characterising aerosol events, analysing lunar photometry data and using radiative transfer models such as libRadtran. She is also involved in working with all-sky cameras to obtain cloud properties. In addition, she will be involved in teaching activities in the Physics and Optics and Optometry departments at the University of Valladolid.

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).

BibTeX

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).

BibTeX

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).

BibTeX

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).

BibTeX

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