I am a PhD student at the University of Granada (UGR), and my research focuses on aerosols, water vapour, clouds, and their interactions. My main work has been dedicated to improving water vapour retrievals from Raman lidar measurements by accounting for differential atmospheric transmission and obt
EDUCATION
PhD Student at University of Granada: 2023-present
Master in Meteorology ( Faculty of Science) 2022-10-03 to 2023-09-18 |
Bachelor's Degree in Meteorology (Faculty of Environment) 2014-09-01 to 2019-07-03
RESEARCH, TEACHING, or OTHER INTERESTS
Atmospheric Science, Atmospheric Science
5
Scopus Publications
Scopus Publications
Hybrid methodology for optimised water vapour mixing ratio profiles from Raman lidar measurements Arlett Díaz-Zurita, Daniel Pérez-Ramírez, David N. Whiteman, Onel Rodríguez-Navarro, Víctor M. Naval-Hernández, Jorge Muñiz-Rosado, Soledad Fernández-Carvelo, Jesús Abril-Gago, Ana del Águila, Pablo Ortiz-Amezcua, Juan Antonio Bravo-Aranda, María José Granados-Muñoz, Juan Luis Guerrero-Rascado, Manuel Antón, Javier Vaquero-Martínez, Inmaculada Foyo-Moreno, Jose Antonio Benavent-Oltra, Lucas Alados-Arboledas, Francisco Navas-Guzmán Atmospheric Measurement Techniques, 2026 This study presents a hybrid methodology to obtain high temporal resolution calibration constants for water vapour Raman lidar measurements, and posteriorly retrieve high-accuracy water vapour mixing ratio profiles. The hybrid method combines correlative measurements of collocated precipitable water vapour and Numerical Weather Prediction data to reconstruct the profile within the incomplete overlap region. The hybrid methodology is applied to the Raman lidar system, which operated at the EARLINET/ACTRIS station of the University of Granada, Spain, for the period 2009–2022. The system has been continuously updated to meet EARLINET/ACTRIS requirements for aerosol measurements, but the hybrid method has allowed tracking the impact of these changes on calibration constants for water vapour retrievals, and consequently to exploit water vapour mixing ratio profiles that were previously unavailable. The hybrid method was optimised for the Granada station by selecting Global Navigation Satellite System precipitable water vapour data as the most appropriate due to its better agreement with collocated and simultaneous radiosonde data (coefficient of determination of 0.95). Furthermore, the ERA5 reanalysis model was selected as the most appropriate because of its better temporal and spatial resolution and its accuracy when evaluated against radiosonde data. The advantages of the hybrid methodology were evaluated in comparison to traditional calibration methods such as those based on radiosondes or precipitable water vapour data assuming a constant water vapour mixing ratio in the incomplete overlap region. Although all methods generally provided good calibration constants, the hybrid method presented the best assessments under conditions where atmospheric layers were not well-mixed. Comparison with radiosonde data revealed excellent agreement, with a mean bias of −0.1 ± 0.3 g kg−1, a standard deviation of 1.0 ± 0.4 g kg−1 and a coefficient of determination of 0.87 across the entire period and vertical range (0–6 kma.g.l.). The most important result of this study is the ability to continuously evaluate calibration constants in a system that its configuration has been changing over 14 years of operation. This new methodology expanded the dataset from 31 initial cases using collocated radiosondes to more than 2000 values through the hybrid methodology. The posterior application of the hybrid methodology to all Raman lidar measurements enabled the generation of a comprehensive database of water vapour mixing ratio profiles for the entire period 2009–2022. Illustrative cases under different atmospheric conditions are presented to showcase the potential of Raman lidar measurements in monitoring water vapour and to investigate its role in climate dynamics and weather prediction.
Sensitivity Analysis of the Differential Atmospheric Transmission in Water Vapour Mixing Ratio Retrieval from Raman Lidar Measurements Arlett Díaz-Zurita, Víctor M. Naval-Hernández, David N. Whiteman, Onel Rodríguez-Navarro, Jorge Muñiz-Rosado, Daniel Pérez-Ramírez, Lucas Alados-Arboledas, Francisco Navas-Guzmán Remote Sensing, 2025 This study assesses the effect of the differential atmospheric transmission term in Raman lidar water vapour mixing ratio retrievals. Such issue is evaluated for two optical configurations: the first is a vibrational–rotational Raman nitrogen (∼387 nm) and the second is a pure–rotational Raman molecular reference near 354 nm (nitrogen and oxygen). Both optical configurations use a vibrational–rotational water vapour channel at ∼408 nm. More than 300 aerosol profiles acquired by the University of Granada Raman lidar over the period 2010–2016 enabled the calculation of the aerosol contribution of the differential atmospheric transmission term, indicating that neglecting the total differential atmospheric transmission term can introduce systematic uncertainties in water vapour mixing ratio retrievals of approximately 5.1% and 15% (18% under high-aerosol conditions) at 6 km for the first and second configuration, respectively. Subsequently, in order to apply automatic differential transmission calculations, we developed a technique for estimating the aerosol contribution from sun photometer AOD measurements, yielding relative deviations in water vapour mixing ratio of 0.10% and 0.40% for ∼387 nm and ∼354 nm configurations when compared with cases where Raman lidar aerosol profiles were available. This approach transforms systematic uncertainties into random ones that can be reduced by increasing the number of measurements.
Phase matrix characterization of long-range-Transported Saharan dust using multiwavelength-polarized polar imaging nephelometry Elena Bazo, Daniel Pérez-Ramírez, Antonio Valenzuela, J. Vanderlei Martins, Gloria Titos, Alberto Cazorla, Fernando Rejano, Diego Patrón, Arlett Díaz-Zurita, Francisco José García-Izquierdo, David Fuertes, Lucas Alados-Arboledas, Francisco José Olmo Atmospheric Chemistry and Physics, 2025 This work investigates scattering matrix elements during different Saharan dust outbreaks over Granada (southeast Spain) in 2022 using a polarized imaging nephelometer (PI-Neph) capable of measuring continuously the phase function (F11) and the polarized phase function (-F12/F11) at three different wavelengths (405, 515 and 660 nm) in the range 5–175°. The focus is on two extreme dust events (PM10 > 1000 µg m−3) in March 2022. During the peaks of these events F11 and -F12/F11 show the classical patterns observed for dust samples in laboratory measurements available in the Granada–Amsterdam Light Scattering Database at all wavelengths. However, for the moments prior to and after the peaks the results reveal important sensitivity in -F12/F11 at 405 nm. For the other wavelengths, however, this difference in -F12/F11 is not evident. Moreover, no remarkable changes are found in F11, which is always characterized by strong predominance of forward scattering. The analyses of more frequent and moderate events recorded in summer 2022 (PM10 between 50 and 100 µg m−3) revealed F11 and -F12/F11 patterns like those observed prior to and after the extreme events. The combination of PI-Neph measurements with additional in situ instrumentation allowed a typing classification that revealed the peaks in the extreme dust events as pure dust, while for the rest of cases it remarked a mixture of dust with urban background pollution. In addition, simulations with the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) code explain the different patterns in -F12/F11, with changes in the refractive indexes and with the different contributions of the fine and coarse mode.
Numerical models for tropical cyclones prediction in Cuba Anales De La Academia De Ciencias De Cuba, 2024
Numerical wind forecast at mesoscale and short term for josé martí international airport in havana Arlett Díaz-Zurita, Carlos Manuel Góngora-González, Alexander Lobaina-Laó, Albenis Pérez-Alarcón, Patricia Coll-Hidalgo Revista Brasileira De Meteorologia, 2021 Resumen En el Aeropuerto Internacional “José Martí” de La Habana (MUHA), el nivel de exactitud que presentan los pronósticos de dirección del viento se aproximan a un 70%, los mismos no cumplen con los requisitos establecidos por las regulaciones aeronáuticas que exigen que la efectividad sea mayor al 85%. Por ello, se implementó un pronóstico numérico del campo de viento a mesoescala y a corto plazo utilizando los modelos WRF-NMM y Masa Consistente, que pretende mejorar el pronóstico realizado por el Ogimet, herramienta numérica de pronóstico del viento empleada en el MUHA. Se experimentó con distintos métodos de interpolación, obteniendo los mejores resultados con el vecino natural con la corrección del modelo de Masa Consistente. Se desarrolló una herramienta computacional capaz de ofrecer los pronósticos numéricos de campo de viento para el MUHA correspondientes a las 0000, 0600, 1200, 1800 UTC, con una habilidad superior al Ogimet y con una efectividad del 91% para el pronóstico numérico del campo de viento.
