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@article{atmos15060635,

title = {The Recovery and Re-Calibration of a 13-Month Aerosol Extinction Profiles Dataset from Searchlight Observations from New Mexico, after the 1963 Agung Eruption},

author = {J.C. Antuña-Marrero and G.W. Mann and J. Barnes and A. Calle and S.S. Dhomse and V.E. Cachorro and T. Deshler and Z. Li and N. Sharma and L. Elterman},

url = {https://www.mdpi.com/2073-4433/15/6/635},

doi = {10.3390/atmos15060635},

issn = {2073-4433},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Atmosphere},

volume = {15},

number = {6},

abstract = {The recovery and re-calibration of a dataset of vertical aerosol extinction profiles of the 1963/64 stratospheric aerosol layer measured by a searchlight at 32°N in New Mexico, US, is reported. The recovered dataset consists of 105 aerosol extinction profiles at 550 nm that cover the period from December 1963 to December 1964. It is a unique record of the portion of the aerosol cloud from the March 1963 Agung volcanic eruption that was transported into the Northern Hemisphere subtropics. The data-recovery methodology involved re-digitizing the 105 original aerosol extinction profiles from individual Figures within a research report, followed by the re-calibration. It involves inverting the original equation used to compute the aerosol extinction profile to retrieve the corresponding normalized detector response profile. The re-calibration of the original aerosol extinction profiles used Rayleigh extinction profiles calculated from local soundings. Rayleigh and aerosol slant transmission corrections are applied using the MODTRAN code in transmission mode. Also, a best-estimate aerosol phase function was calculated from observations and applied to the entire column. The tropospheric aerosol phase function from an AERONET station in the vicinity of the searchlight location was applied between 2.76 to 11.7 km. The stratospheric phase function, applied for a 12.2 to 35.2 km altitude range, is calculated from particle-size distributions measured by a high-altitude aircraft in the vicinity of the searchlight in early 1964. The original error estimate was updated considering unaccounted errors. Both the re-calibrated aerosol extinction profiles and the re-calibrated stratospheric aerosol optical depth magnitudes showed higher magnitudes than the original aerosol extinction profiles and the original stratospheric aerosol optical depth, respectively. However, the magnitudes of the re-calibrated variables show a reasonable agreement with other contemporary observations. The re-calibrated stratospheric aerosol optical depth demonstrated its consistency with the tropics-to-pole decreasing trend, associated with the major volcanic eruption stratospheric aerosol pattern when compared to the time-coincident stratospheric aerosol optical depth lidar observations at Lexington at 42° N.},

keywords = {LIDAR, searchlight, stratospheric aerosol, tropospheric aerosol},

pubstate = {published},

tppubtype = {article}

}

@article{Salgueiro2023,

title = {Characterization of Tajogaite volcanic plumes detected over the Iberian Peninsula from a set of satellite and ground-based remote sensing instrumentation},

author = {V. Salgueiro and J. L. Guerrero-Rascado and M. J. Costa and R. Román and A. Cazorla and A. Serrano and F. Molero and M. Sicard and C. Córdoba-Jabonero and D. Bortoli and A. Comerón and F. T. Couto and M. Á. López-Cayuela and D. Pérez-Ramírez and M. Potes and J. A. Muñiz-Rosado and M. A. Obregón and R. Barragán and D. C. F. S. Oliveira and J. Abril-Gago and R. González and C. Gíl-Díaz and I. Foyo-Moreno and C. Muñoz-Porcar and M. J. Granados-Muñoz and A. Rodríguez-Gómez and M. Herreras-Giralda and J. A. Bravo-Aranda and C. V. Carvajal-Pérez and A. Barreto and L. Alados-Arboledas},

url = {https://www.sciencedirect.com/science/article/pii/S0034425723002353},

doi = {https://doi.org/10.1016/j.rse.2023.113684},

issn = {0034-4257},

year  = {2023},

date = {2023-06-13},

urldate = {2023-01-01},

journal = {Remote Sensing of Environment},

volume = {295},

pages = {113684},

abstract = {Three volcanic plumes were detected during the Tajogaite volcano eruptive activity (Canary Islands, Spain, September–December 2021) over the Iberian Peninsula. The spatiotemporal evolution of these events is characterised by combining passive satellite remote sensing and ground-based lidar and sun-photometer systems. The inversion algorithm GRASP is used with a suite of ground-based remote sensing instruments such as lidar/ceilometer and sun-photometer from eight sites at different locations throughout the Iberian Peninsula. Satellite observations showed that the volcanic ash plumes remained nearby the Canary Islands covering a mean area of 120 ± 202 km2 during the whole period of eruptive activity and that sulphur dioxide plumes reached the Iberian Peninsula. Remote sensing observations showed that the three events were mainly composed of sulphates, which were transported from the volcano into the free troposphere. The high backscatter-related Ångström exponents for wavelengths 532–1064 nm (1.17 ± 0.20 to 1.40 ± 0.24) and low particle depolarization ratios (0.08 ± 0.02 to 0.09 ± 0.02), measured by the multi-wavelength Raman lidar, hinted at the presence of spherical small particles. The layer aerosol optical depth at 532 nm (AODL532) obtained from lidar measurements contributed between 49% and 82% to the AERONET total column AOD at 532 nm in event II (11–13 October). According to the GRASP retrievals, the layer aerosol optical depth at 440 nm (AODL440) was higher in all sites during event II with values between 0.097 (Badajoz) and 0.233 (Guadiana-UGR) and lower in event III (19–21 October) varying between 0.003 (Granada) and 0.026 (Évora). Compared with the GRASP retrievals of total column AOD at 440 nm, the AODL440 had contributions between 21% and 52% during event II. In the event I (25–28 September), the mean volume concentrations (VC) varied between 5 ± 4 ?m3cm?3 (El-Arenosillo/Huelva) and 17 ± 10 ?m3cm?3 (Guadiana-UGR), while in event II this variation was from 11 ± 7 ?m3cm?3 (Badajoz) to 27 ± 10 ?m3cm?3 (Guadiana-UGR). Due to the impact of volcanic events on atmospheric and economic fields, such as radiative forcing and airspace security, a proper characterization is required. This work undertakes it using advanced instrumentation and methods.},

keywords = {ceilometer, GRASP algorithm, LIDAR, Satellite remote sensing, Sulphur dioxide, sun-photometer, Volcanic sulphates},

pubstate = {published},

tppubtype = {article}

}

@article{Antuña-Marrero2021,

title = {Recovery of the first ever multi-year lidar dataset of the stratospheric aerosol layer, from Lexington, MA, and Fairbanks, AK, January 1964 to July 1965},

author = {J. C. Antuña-Marrero and G. W. Mann and J. Barnes and A. Rodríguez-Vega and S. Shallcross and S. S. Dhomse and G. Fiocco and G. W. Grams},

url = {https://essd.copernicus.org/articles/13/4407/2021/},

doi = {10.5194/essd-13-4407-2021},

year  = {2021},

date = {2021-09-08},

urldate = {2021-01-01},

journal = {Earth System Science Data},

volume = {13},

number = {9},

pages = {4407--4423},

abstract = {We report the recovery and processing methodology of the first ever multi-year lidar dataset of the stratospheric aerosol layer. A Q-switched ruby lidar measured 66 vertical profiles of 694?nm attenuated backscatter at Lexington, Massachusetts, between January 1964 and August 1965, with an additional nine profile measurements conducted from College, Alaska, during July and August 1964. We describe the processing of the recovered lidar backscattering ratio profiles to produce mid-visible (532?nm) stratospheric aerosol extinction profiles (sAEP532) and stratospheric aerosol optical depth (sAOD532) measurements, utilizing a number of contemporary measurements of several different atmospheric variables. Stratospheric soundings of temperature and pressure generate an accurate local molecular backscattering profile, with nearby ozone soundings determining the ozone absorption, which are used to correct for two-way ozone transmittance. Two-way aerosol transmittance corrections are also applied based on nearby observations of total aerosol optical depth (across the troposphere and stratosphere) from sun photometer measurements. We show that accounting for these two-way transmittance effects substantially increases the magnitude of the 1964/1965 stratospheric aerosol layer's optical thickness in the Northern Hemisphere mid-latitudes, then ??50?% larger than represented in the Coupled Model Intercomparison Project 6 (CMIP6) volcanic forcing dataset. Compared to the uncorrected dataset, the combined transmittance correction increases the sAOD532 by up to 66?% for Lexington and up to 27?% for Fairbanks, as well as individual sAEP532 adjustments of similar magnitude. Comparisons with the few contemporary measurements available show better agreement with the corrected two-way transmittance values.



Within the January 1964 to August 1965 measurement time span, the corrected Lexington sAOD532 time series is substantially above 0.05 in three distinct periods, October 1964, March 1965, and May–June 1965, whereas the 6 nights the lidar measured in December 1964 and January 1965 had sAOD values of at most ??0.03. The comparison with interactive stratospheric aerosol model simulations of the Agung aerosol cloud shows that, although substantial variation in mid-latitude sAOD532 are expected from the seasonal cycle in the stratospheric circulation, the Agung cloud's dispersion from the tropics would have been at its strongest in winter and weakest in summer. The increasing trend in sAOD from January to July 1965, also considering the large variability, suggests that the observed variations are from a different source than Agung, possibly from one or both of the two eruptions that occurred in 1964/1965 with a Volcanic Explosivity Index (VEI) of 3: Trident, Alaska, and Vestmannaeyjar, Heimaey, south of Iceland. A detailed error analysis of the uncertainties in each of the variables involved in the processing chain was conducted. Relative errors for the uncorrected sAEP532 were 54?% for Fairbanks and 44?% Lexington. For the corrected sAEP532 the errors were 61?% and 64?%, respectively. The analysis of the uncertainties identified variables that with additional data recovery and reprocessing could reduce these relative error levels. Data described in this work are available at https://doi.org/10.1594/PANGAEA.922105 (Antuña-Marrero et al., 2020a).},

keywords = {aerosol, LIDAR},

pubstate = {published},

tppubtype = {article}

}

@article{Benavent-Oltra2021,

title = {Overview of the SLOPE I and II campaigns: aerosol properties retrieved with lidar and sun--sky photometer measurements},

author = {J A Benavent-Oltra and J A Casquero-Vera and R Román and H Lyamani and D Pérez-Ramírez and M J Granados-Muñoz and M Herrera and A Cazorla and G Titos and P Ortiz-Amezcua and A E Bedoya-Velásquez and G de Arruda Moreira and N Pérez and A Alastuey and O Dubovik and J L Guerrero-Rascado and F J Olmo-Reyes and L Alados-Arboledas},

url = {https://acp.copernicus.org/articles/21/9269/2021/},

doi = {10.5194/acp-21-9269-2021},

year  = {2021},

date = {2021-06-17},

journal = {Atmospheric Chemistry and Physics},

volume = {21},

number = {12},

pages = {9269-9287},

keywords = {Aerosol Properties, LIDAR, SLOPE, sun photometry},

pubstate = {published},

tppubtype = {article}

}

@article{rs12132074,

title = {Editorial for the Special Issue “Remote Sensing of Atmospheric Components and Water Vapor”},

author = {Victoria E Cachorro and Manuel Antón},

url = {https://www.mdpi.com/2072-4292/12/13/2074},

doi = {10.3390/rs12132074},

issn = {2072-4292},

year  = {2020},

date = {2020-01-01},

journal = {Remote Sensing},

volume = {12},

number = {13},

abstract = {The observation/monitoring of atmospheric components and water vapor in the atmosphere is today open to very different remote sensing techniques, most of them based on the radiation-matter interaction covering the full electromagnetic spectrum. This SI collects some papers regarding the retrieval, calibration, validation, analysis of data and uncertainties, as well as comparative studies on atmospheric gases and water vapor by remote sensing techniques, where different types of sensors, instruments, and algorithms are used or developed.},

keywords = {atmosphere, atmospheric gases, LIDAR, Ozone, pollutant, radiometry, remote sensing, sensor satellinte, spectroscopy, Water vapor},

pubstate = {published},

tppubtype = {article}

}

@article{essd-12-2843-2020,

title = {Shipborne lidar measurements showing the progression of the tropical reservoir of volcanic aerosol after the June 1991 Pinatubo eruption},

author = {J -C Antuña-Marrero and G W Mann and P Keckhut and S Avdyushin and B Nardi and L W Thomason},

url = {https://essd.copernicus.org/articles/12/2843/2020/},

doi = {10.5194/essd-12-2843-2020},

year  = {2020},

date = {2020-01-01},

journal = {Earth System Science Data},

volume = {12},

number = {4},

pages = {2843--2851},

keywords = {LIDAR, volcanic aerosol},

pubstate = {published},

tppubtype = {article}

}

@article{GranadosACP2019,

title = {Impact of mineral dust on shortwave and longwave radiation: evaluation of different vertically resolved parameterizations in 1-D radiative transfer computations},

author = {Granados-Muñoz, M.J. ;Sicard, M. ;Román, R. ;Benavent-Oltra, J.A. ;Barragán, R. ;Brogniez, G. ;Denjean, C. ;Mallet, M. ;Formenti, P. ;Torres, B. ;Alados-Arboledas, L.},

doi = {https://doi.org/10.5194/acp-19-523-2019},

year  = {2019},

date = {2019-01-01},

journal = {Atmospheric Chemistry and Physics},

volume = {19},

pages = {523 - 542},

keywords = {GRASP, LIDAR, Radiative forcing, Water vapor},

pubstate = {published},

tppubtype = {article}

}

@article{deArrudaACP2019,

title = {Analyzing the turbulence in the Planetary Boundary Layer by the synergic use of remote sensing systems: Doppler wind lidar and aerosol elastic lidar },

author = {de Arruda Moreira, G. ;Guerrero-Rascado, J.L. ;Benavent-Oltra, J.A. ;Ortiz-Amezcua, P. ;Román, R. ;Bedoya-Velásquez, A.E. ;Bravo-Aranda, J.A. ;Olmo-Reyes, F.J. ;Landulfo, E. ;Alados-Arboledas, L.},

doi = {https://doi.org/10.5194/acp-2018-276},

year  = {2019},

date = {2019-01-01},

journal = {Atmospheric Chemistry and Physics},

keywords = {doppler, LIDAR, microwave radiometer, pbl, planetary bounday layer},

pubstate = {published},

tppubtype = {article}

}

@article{Berjón2019,

title = {A 10-year characterization of the Saharan Air Layer lidar ratio in the subtropical North Atlantic},

author = {A. Berjón and A. Barreto and Y. Hernández and M. Yela and C. Toledano and E. Cuevas},

url = {https://acp.copernicus.org/articles/19/6331/2019/},

doi = {10.5194/acp-19-6331-2019},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Atmospheric Chemistry and Physics},

volume = {19},

number = {9},

pages = {6331--6349},

keywords = {LIDAR, long-term characterization, Saharan Air Layer},

pubstate = {published},

tppubtype = {article}

}

@article{ROMAN2018AtmosRes,

title = {Retrieval of aerosol profiles combining sunphotometer and ceilometer measurements in GRASP code},

author = {R. Román; J.A. Benavent-Oltra; J.A. Casquero-Vera; A. Lopatin; A. Cazorlaa; H. Lyamani; C. Denjean; D. Fuertes; D. Pérez-Ramírez; B. Torres; C. Toledano; O. Dubovik; V.E. Cachorro; A.M. de Frutos; F.J. Olmo; L. Alados-Arboledas},

url = {https://www.sciencedirect.com/science/article/pii/S0169809517312577},

doi = {10.1016/j.atmosres.2018.01.021},

year  = {2018},

date = {2018-05-15},

journal = {Atmospheric Research},

volume = {204},

pages = {161-167},

keywords = {aerosol concentration, ceilometer, GRASP, LIDAR},

pubstate = {published},

tppubtype = {article}

}

@article{BedoyaACP2018,

title = {Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in-situ instrumentation},

author = {Bedoya-Velasquez, A. ;Navas-Guzmán, F. ;Granados-Muñoz, M.J. ;Titos, G. ;Román, R. ;Casquero-Vera, J.A. ;Ortiz-Amezcua, P. ;Benavent-Oltra, J.A. ;de Arruda-Moreira, G. ;Montilla, R. ;Hoyos-Ortiz, C.D. ;Artiñano, B. ;Coz, E. ;Olmo-Reyes, F.J. ;Alados-Arboledas, L. ;Guerrero-Rascado, J.L.},

doi = {https://doi.org/10.5194/acp-18-7001-2018},

year  = {2018},

date = {2018-01-01},

journal = {Atmospheric Chemistry and Physics},

volume = {18},

pages = {7001 - 7017},

keywords = {aerosol, hygroscopic, LIDAR, microwave radiometer, pbl, Water vapor},

pubstate = {published},

tppubtype = {article}

}

@article{deArrudaAtmosRes2018,

title = {Study of the planetary boundary layer by microwave radiometer, elastic lidar and Doppler lidar estimations in Southern Iberian Peninsula},

author = {de Arruda Moreira, G. ;Guerrero-Rascado, J.L. ;Bravo-Aranda, J.A. ;Benavent-Oltra, J.A. ;Ortiz-Amezcua, P. ;Román, R. ;Bedoya-Velásquez, A.E. ;Landulfo, E. ;Alados-Arboledas, L.},

doi = {https://doi.org/10.1016/j.atmosres.2018.06.007},

year  = {2018},

date = {2018-01-01},

journal = {Atmospheric Research},

volume = {213},

pages = {185-195},

keywords = {doppler, LIDAR, microwave radiometer, pbl, planetary bounday layer},

pubstate = {published},

tppubtype = {article}

}

@article{ANTUNA2017BAMS,

title = {LALINET: The first Latin American-born regional atmospheric observational network},

author = {J.C. Antuña-Marrero, E. Landulfo, R. Estevan, B. Barja, A. Robock, E. Wolfram, P. Ristori, B. Clemesha, F. Zaratti, R. Forno, E. Armandillo, A.E. Bastidas, A. de Frutos Baraja, D.N. Whiteman, E. Quel, H.M.J. Barbosa, F. Lopes, E. Montilla-Rosero, J.L. Guerrero-Rascado},

doi = {DOI: 10.1175/BAMS-D-15-00228.1 },

issn = {00030007},

year  = {2017},

date = {2017-01-01},

journal = {Bulletin of the American Meteorological Society},

volume = {98},

number = {6},

pages = {1255-1275},

keywords = {LIDAR},

pubstate = {published},

tppubtype = {article}

}

@article{BEDOYA2017ACPD,

title = {Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in-situ instrumentation },

author = {A. E. Bedoya-Velásquez, F. Navas-Guzmán, M. J. Granados-Muñoz, G. Titos, R. Roman, J. A. Casquero-Vera, P. Ortiz-Amezcua, J. A. Benavent-Oltra, G. de Arruda Moreira, E. Montilla-Rosero, C. D. Hoyos Ortiz, B. Artíñano, E. Coz, L. Alados-Arboledas and J. Luis Guerrero-Rascado},

url = {https://www.atmos-chem-phys-discuss.net/acp-2017-993/acp-2017-993.pdf},

doi = {10.5194/acp-2017-993},

year  = {2017},

date = {2017-01-01},

journal = {Atmospheric Chemistry and Physics Discussion},

keywords = {aerosol, higroscopicity, LIDAR},

pubstate = {published},

tppubtype = {article}

}