32 citations as recorded by crossref.

1. Unveiling the vertical dynamics of atmospheric ammonium in Asia megacity: A GRASP-based investigation of spatiotemporal patterns and source drivers Y. Tan et al. https://doi.org/10.1016/j.atmosres.2025.108201
2. Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm L. Li et al. https://doi.org/10.5194/essd-14-3439-2022
3. Characterization of Tajogaite volcanic plumes detected over the Iberian Peninsula from a set of satellite and ground-based remote sensing instrumentation V. Salgueiro et al. https://doi.org/10.1016/j.rse.2023.113684
4. Optimization of the Polarized Imaging Nephelometer (PI-Neph) for continuous monitoring of multiwavelength aerosol phase functions in support of space polarimetry missions E. Bazo et al. https://doi.org/10.1016/j.atmosenv.2023.120181
5. Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation M. Herrera et al. https://doi.org/10.5194/amt-15-6075-2022
6. Detecting changes in anthropogenic light emissions: Limits due to atmospheric variability S. Bará https://doi.org/10.1016/j.jqsrt.2024.109187
7. Retrieval of Aged Biomass-Burning Aerosol Properties by Using GRASP Code in Synergy with Polarized Micro-Pulse Lidar and Sun/Sky Photometer M. López-Cayuela et al. https://doi.org/10.3390/rs14153619
8. New particle formation at urban and high-altitude remote sites in the south-eastern Iberian Peninsula J. Casquero-Vera et al. https://doi.org/10.5194/acp-20-14253-2020
9. CAECENET: An automatic system processing photometer and ceilometer data from different networks to provide columnar and vertically-resolved aerosol properties C. Herrero del Barrio et al. https://doi.org/10.1371/journal.pone.0311990
10. Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations S. Parajuli et al. https://doi.org/10.5194/acp-20-16089-2020
11. Ceilometer inversion method using water-vapor correction from co-located microwave radiometer for aerosol retrievals A. Bedoya-Velásquez et al. https://doi.org/10.1016/j.atmosres.2020.105379
12. Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations A. Lopatin et al. https://doi.org/10.5194/amt-14-2575-2021
13. Overview of the SLOPE I and II campaigns: aerosol properties retrieved with lidar and sun–sky photometer measurements J. Benavent-Oltra et al. https://doi.org/10.5194/acp-21-9269-2021
14. A Comprehensive Description of Multi-Term LSM for Applying Multiple a Priori Constraints in Problems of Atmospheric Remote Sensing: GRASP Algorithm, Concept, and Applications O. Dubovik et al. https://doi.org/10.3389/frsen.2021.706851
15. A novel lidar gradient cluster analysis method of nocturnal boundary layer detection during air pollution episodes Y. Zhang et al. https://doi.org/10.5194/amt-13-6675-2020
16. Diurnal and nocturnal aerosol properties by AERONET sun-sky-lunar photometer measurements along four years M. Perrone et al. https://doi.org/10.1016/j.atmosres.2021.105889
17. Retrieval of aerosol properties using relative radiance measurements from an all-sky camera R. Román et al. https://doi.org/10.5194/amt-15-407-2022
18. Properties of aerosol and surface derived from OLCI/Sentinel-3A using GRASP approach: Retrieval development and preliminary validation C. Chen et al. https://doi.org/10.1016/j.rse.2022.113142
19. Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET A. del Águila et al. https://doi.org/10.5194/acp-25-12549-2025
20. Study of the Effect of Aerosol Vertical Profile on Microphysical Properties Using GRASP Code with Sun/Sky Photometer and Multiwavelength Lidar Measurements F. Molero et al. https://doi.org/10.3390/rs12244072
21. Retrieval of aerosol properties from zenith sky radiance measurements S. Herrero-Anta et al. https://doi.org/10.5194/amt-16-4423-2023
22. Evaluation of LIRIC Algorithm Performance Using Independent Sun-Sky Photometer Data at Two Altitude Levels M. Granados-Muñoz et al. https://doi.org/10.3390/rs12050842
23. Black carbon aerosol number and mass concentration measurements by picosecond short-range elastic backscatter lidar R. Ceolato et al. https://doi.org/10.1038/s41598-022-11954-7
24. Correction of a lunar-irradiance model for aerosol optical depth retrieval and comparison with a star photometer R. Román et al. https://doi.org/10.5194/amt-13-6293-2020
25. Wind and Turbulence Statistics in the Urban Boundary Layer over a Mountain–Valley System in Granada, Spain P. Ortiz-Amezcua et al. https://doi.org/10.3390/rs14102321
26. Comparison of the Performance of the GRASP and MERRA2 Models in Reproducing Tropospheric Aerosol Layers A. Fernandes et al. https://doi.org/10.3390/atmos14091409
27. Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring C. Chen et al. https://doi.org/10.5194/essd-12-3573-2020
28. Vertical assessment of the mineral dust optical and microphysical properties as retrieved from the synergy between polarized micro-pulse lidar and sun/sky photometer observations using GRASP code M. López-Cayuela et al. https://doi.org/10.1016/j.atmosres.2021.105818
29. Retrievals of dust-related particle mass and ice-nucleating particle concentration profiles with ground-based polarization lidar and sun photometer over a megacity in central China Y. He et al. https://doi.org/10.5194/amt-14-5939-2021
30. A Bayesian approach for the retrieval of atmospheric particle properties from lidar data with uncertainty quantification G. Varini et al. https://doi.org/10.1088/1361-6420/adf003
31. Retrieval of aerosol properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) observations during ACEPOL 2017 A. Puthukkudy et al. https://doi.org/10.5194/amt-13-5207-2020
32. Aerosol optical and radiative properties and their environmental effects in China: A review H. Che et al. https://doi.org/10.1016/j.earscirev.2023.104634