Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6561-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-6561-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Oct 2021
Research article |
| 12 Oct 2021
| 12 Oct 2021
Accuracy in starphotometry
Liviu Ivănescu
CORRESPONDING AUTHOR
Centre d'applications et de recherches en télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC, Canada
Konstantin Baibakov
Centre d'applications et de recherches en télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC, Canada
Canadian Space Agency, Agence spatiale canadienne, Saint-Hubert, QC, Canada
Norman T. O'Neill
Centre d'applications et de recherches en télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, QC, Canada
Jean-Pierre Blanchet
Department of Earth and Atmospheric Sciences, Université du Québec à Montréal (UQÀM), Montréal, QC, Canada
Karl-Heinz Schulz
retired
formerly at: Dr. Schulz & Partner GmbH, Buckow, Germany (end of operations as of April 2016)
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The starphotometers' complex infrastructure prohibits calibration campaigns. On-site calibration procedures appear as the only practical solution. A multi-star approach overcomes site-specific sky transparency stability problems. Star selection strategies were proposed for mitigating some sources of errors. Data processing strategies and instrument design improvements appear necessary.
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The first airborne measurements performed with the FIRR are presented. Vertical profiles of upwelling spectral radiance in the far-infrared are measured in the Arctic atmosphere for the first time. They show the impact of the temperature inversion on the radiative budget of the atmosphere, especially in the far-infrared. The presence of ice clouds also significantly alters the far-infrared budget, highlighting the critical interplay between water vapour and clouds in this very dry region.
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Outi Meinander, Pavla Dagsson-Waldhauserova, Pavel Amosov, Elena Aseyeva, Cliff Atkins, Alexander Baklanov, Clarissa Baldo, Sarah L. Barr, Barbara Barzycka, Liane G. Benning, Bojan Cvetkovic, Polina Enchilik, Denis Frolov, Santiago Gassó, Konrad Kandler, Nikolay Kasimov, Jan Kavan, James King, Tatyana Koroleva, Viktoria Krupskaya, Markku Kulmala, Monika Kusiak, Hanna K. Lappalainen, Michał Laska, Jerome Lasne, Marek Lewandowski, Bartłomiej Luks, James B. McQuaid, Beatrice Moroni, Benjamin Murray, Ottmar Möhler, Adam Nawrot, Slobodan Nickovic, Norman T. O’Neill, Goran Pejanovic, Olga Popovicheva, Keyvan Ranjbar, Manolis Romanias, Olga Samonova, Alberto Sanchez-Marroquin, Kerstin Schepanski, Ivan Semenkov, Anna Sharapova, Elena Shevnina, Zongbo Shi, Mikhail Sofiev, Frédéric Thevenet, Throstur Thorsteinsson, Mikhail Timofeev, Nsikanabasi Silas Umo, Andreas Uppstu, Darya Urupina, György Varga, Tomasz Werner, Olafur Arnalds, and Ana Vukovic Vimic
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The study provides a baseline Arctic spring and summertime aerosol optical depth climatology, trend, and extreme event statistics from 2003 to 2019 using a combination of aerosol reanalyses, remote sensing, and ground observations. Biomass burning smoke has an overwhelming contribution to black carbon (an efficient climate forcer) compared to anthropogenic sources. Burning's large interannual variability and increasing summer trend have important implications for the Arctic climate.
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We argue that the illustration employed by Huang et al. (2015) to demonstrate the transport of Asian dust to the high Arctic was, in fact, largely a cloud event and that the actual impact of Asian dust was measurable but much weaker than what they proposed and had occurred a day earlier (in agreement with the transport model they had employed to predict the transport path to the high Arctic).
Konstantin Baibakov, Samuel LeBlanc, Keyvan Ranjbar, Norman T. O'Neill, Mengistu Wolde, Jens Redemann, Kristina Pistone, Shao-Meng Li, John Liggio, Katherine Hayden, Tak W. Chan, Michael J. Wheeler, Leonid Nichman, Connor Flynn, and Roy Johnson
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Setigui Aboubacar Keita, Eric Girard, Jean-Christophe Raut, Maud Leriche, Jean-Pierre Blanchet, Jacques Pelon, Tatsuo Onishi, and Ana Cirisan
Geosci. Model Dev., 13, 5737–5755, https://doi.org/10.5194/gmd-13-5737-2020, https://doi.org/10.5194/gmd-13-5737-2020, 2020
Bing Pu, Paul Ginoux, Huan Guo, N. Christina Hsu, John Kimball, Beatrice Marticorena, Sergey Malyshev, Vaishali Naik, Norman T. O'Neill, Carlos Pérez García-Pando, Juliette Paireau, Joseph M. Prospero, Elena Shevliakova, and Ming Zhao
Atmos. Chem. Phys., 20, 55–81, https://doi.org/10.5194/acp-20-55-2020, https://doi.org/10.5194/acp-20-55-2020, 2020
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Dust emission initiates when surface wind velocities exceed a threshold depending on soil and surface characteristics and varying spatially and temporally. Climate models widely use wind erosion thresholds. The climatological monthly global distribution of the wind erosion threshold, Vthreshold, is retrieved using satellite and reanalysis products and improves the simulation of dust frequency, magnitude, and the seasonal cycle in the Geophysical Fluid Dynamics Laboratory land–atmosphere model.
Jonathan P. D. Abbatt, W. Richard Leaitch, Amir A. Aliabadi, Allan K. Bertram, Jean-Pierre Blanchet, Aude Boivin-Rioux, Heiko Bozem, Julia Burkart, Rachel Y. W. Chang, Joannie Charette, Jai P. Chaubey, Robert J. Christensen, Ana Cirisan, Douglas B. Collins, Betty Croft, Joelle Dionne, Greg J. Evans, Christopher G. Fletcher, Martí Galí, Roya Ghahreman, Eric Girard, Wanmin Gong, Michel Gosselin, Margaux Gourdal, Sarah J. Hanna, Hakase Hayashida, Andreas B. Herber, Sareh Hesaraki, Peter Hoor, Lin Huang, Rachel Hussherr, Victoria E. Irish, Setigui A. Keita, John K. Kodros, Franziska Köllner, Felicia Kolonjari, Daniel Kunkel, Luis A. Ladino, Kathy Law, Maurice Levasseur, Quentin Libois, John Liggio, Martine Lizotte, Katrina M. Macdonald, Rashed Mahmood, Randall V. Martin, Ryan H. Mason, Lisa A. Miller, Alexander Moravek, Eric Mortenson, Emma L. Mungall, Jennifer G. Murphy, Maryam Namazi, Ann-Lise Norman, Norman T. O'Neill, Jeffrey R. Pierce, Lynn M. Russell, Johannes Schneider, Hannes Schulz, Sangeeta Sharma, Meng Si, Ralf M. Staebler, Nadja S. Steiner, Jennie L. Thomas, Knut von Salzen, Jeremy J. B. Wentzell, Megan D. Willis, Gregory R. Wentworth, Jun-Wei Xu, and Jacqueline D. Yakobi-Hancock
Atmos. Chem. Phys., 19, 2527–2560, https://doi.org/10.5194/acp-19-2527-2019, https://doi.org/10.5194/acp-19-2527-2019, 2019
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The Arctic is experiencing considerable environmental change with climate warming, illustrated by the dramatic decrease in sea-ice extent. It is important to understand both the natural and perturbed Arctic systems to gain a better understanding of how they will change in the future. This paper summarizes new insights into the relationships between Arctic aerosol particles and climate, as learned over the past five or so years by a large Canadian research consortium, NETCARE.
Ian G. McKendry, Andreas Christen, Sung-Ching Lee, Madison Ferrara, Kevin B. Strawbridge, Norman O'Neill, and Andrew Black
Atmos. Chem. Phys., 19, 835–846, https://doi.org/10.5194/acp-19-835-2019, https://doi.org/10.5194/acp-19-835-2019, 2019
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Wildfire smoke in July 2015 had a significant impact on air quality, radiation, and energy budgets across British Columbia. With lighter smoke, a wetland and forested site showed enhanced photosynthetic activity (taking in carbon dioxide). However, with dense smoke the forested site became a strong source. These results suggest that smoke during the growing season potentially plays an important role in the carbon budget, and this effect will likely increase as climate changes.
Dean B. Atkinson, Mikhail Pekour, Duli Chand, James G. Radney, Katheryn R. Kolesar, Qi Zhang, Ari Setyan, Norman T. O'Neill, and Christopher D. Cappa
Atmos. Chem. Phys., 18, 5499–5514, https://doi.org/10.5194/acp-18-5499-2018, https://doi.org/10.5194/acp-18-5499-2018, 2018
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We use in situ measurements of particle light extinction to assess the performance of a typical aerosol remote retrieval method. The retrieved fine-mode fraction of extinction, a property commonly used to characterize the anthropogenic influence on the aerosol optical depth, compares well with the in situ measurements as does the retrieved effective fine-mode radius, which characterizes the average size of the particles that contribute most to scattering.
Yann Blanchard, Alain Royer, Norman T. O'Neill, David D. Turner, and Edwin W. Eloranta
Atmos. Meas. Tech., 10, 2129–2147, https://doi.org/10.5194/amt-10-2129-2017, https://doi.org/10.5194/amt-10-2129-2017, 2017
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Multiband thermal measurements of zenith sky radiance were used in a retrieval algorithm, to estimate cloud optical depth and effective particle diameter of thin ice clouds in the Canadian High Arctic. The retrieval technique was validated using a synergy lidar and radar data. Inversions were performed across three polar winters and results showed a significant correlation (R2 = 0.95) for cloud optical depth retrievals and an overall accuracy of 83 % for the classification of thin ice clouds.
Quentin Libois, Liviu Ivanescu, Jean-Pierre Blanchet, Hannes Schulz, Heiko Bozem, W. Richard Leaitch, Julia Burkart, Jonathan P. D. Abbatt, Andreas B. Herber, Amir A. Aliabadi, and Éric Girard
Atmos. Chem. Phys., 16, 15689–15707, https://doi.org/10.5194/acp-16-15689-2016, https://doi.org/10.5194/acp-16-15689-2016, 2016
Short summary
Short summary
The first airborne measurements performed with the FIRR are presented. Vertical profiles of upwelling spectral radiance in the far-infrared are measured in the Arctic atmosphere for the first time. They show the impact of the temperature inversion on the radiative budget of the atmosphere, especially in the far-infrared. The presence of ice clouds also significantly alters the far-infrared budget, highlighting the critical interplay between water vapour and clouds in this very dry region.
Norman T. O'Neill, Konstantin Baibakov, Sareh Hesaraki, Liviu Ivanescu, Randall V. Martin, Chris Perro, Jai P. Chaubey, Andreas Herber, and Thomas J. Duck
Atmos. Chem. Phys., 16, 12753–12765, https://doi.org/10.5194/acp-16-12753-2016, https://doi.org/10.5194/acp-16-12753-2016, 2016
Quentin Libois, Christian Proulx, Liviu Ivanescu, Laurence Coursol, Ludovick S. Pelletier, Yacine Bouzid, Francesco Barbero, Éric Girard, and Jean-Pierre Blanchet
Atmos. Meas. Tech., 9, 1817–1832, https://doi.org/10.5194/amt-9-1817-2016, https://doi.org/10.5194/amt-9-1817-2016, 2016
Short summary
Short summary
Here we present a radiometer, FIRR, aimed at measuring atmospheric radiation in the far infrared, an underexplored region of the Earth spectrum. The FIRR is a prototype for the planned TICFIRE satellite mission dedicated to studying thin ice clouds in polar regions. Preliminary in situ measurements compare well with radiative transfer simulations. This highlights the high sensitivity of the FIRR to water vapor content and cloud physical properties, paving the way for new retrieval algorithms.
K. Baibakov, N. T. O'Neill, L. Ivanescu, T. J. Duck, C. Perro, A. Herber, K.-H. Schulz, and O. Schrems
Atmos. Meas. Tech., 8, 3789–3809, https://doi.org/10.5194/amt-8-3789-2015, https://doi.org/10.5194/amt-8-3789-2015, 2015
K. C. Kaku, J. S. Reid, N. T. O'Neill, P. K. Quinn, D. J. Coffman, and T. F. Eck
Atmos. Meas. Tech., 7, 3399–3412, https://doi.org/10.5194/amt-7-3399-2014, https://doi.org/10.5194/amt-7-3399-2014, 2014
C. Jouan, J. Pelon, E. Girard, G. Ancellet, J. P. Blanchet, and J. Delanoë
Atmos. Chem. Phys., 14, 1205–1224, https://doi.org/10.5194/acp-14-1205-2014, https://doi.org/10.5194/acp-14-1205-2014, 2014
P. Cottle, K. Strawbridge, I. McKendry, N. O'Neill, and A. Saha
Atmos. Chem. Phys., 13, 4515–4527, https://doi.org/10.5194/acp-13-4515-2013, https://doi.org/10.5194/acp-13-4515-2013, 2013
Related subject area
Subject: Aerosols | Technique: Remote Sensing | Topic: Instruments and Platforms
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Liviu Ivănescu and Norman T. O'Neill
Atmos. Meas. Tech., 16, 6111–6121, https://doi.org/10.5194/amt-16-6111-2023, https://doi.org/10.5194/amt-16-6111-2023, 2023
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The starphotometers' complex infrastructure prohibits calibration campaigns. On-site calibration procedures appear as the only practical solution. A multi-star approach overcomes site-specific sky transparency stability problems. Star selection strategies were proposed for mitigating some sources of errors. Data processing strategies and instrument design improvements appear necessary.
Nofel Lagrosas, Kosuke Okubo, Hitoshi Irie, Yutaka Matsumi, Tomoki Nakayama, Yutaka Sugita, Takashi Okada, and Tatsuo Shiina
Atmos. Meas. Tech., 16, 5937–5951, https://doi.org/10.5194/amt-16-5937-2023, https://doi.org/10.5194/amt-16-5937-2023, 2023
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This work examines the near-ground aerosol–weather relationship from 7-month continuous lidar and weather observations in Chiba, Japan. Optical parameters from lidar data are compared with weather parameters to understand and quantify the aerosol–weather relationship and how these optical parameters are affected by the weather and season. The results provide insights into analyzing optical properties of radioactive aerosols when the lidar system is continuously operated in a radioactive area.
Antonio Fernando Almansa, África Barreto, Natalia Kouremeti, Ramiro González, Akriti Masoom, Carlos Toledano, Julian Gröbner, Rosa Delia García, Yenny González, Stelios Kazadzis, Stephane Victori, Óscar Álvarez, Virgilio Carreño, Victoria Eugenia Cachorro, and Emilio Cuevas
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-108, https://doi.org/10.5194/amt-2023-108, 2023
Revised manuscript accepted for AMT
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This paper applies sun-photometer synergies to improve calibration transference between different sun-photometers and also enhance their quality assurance and quality control. We have validated this technique using different instrumentation, the WMO-GAW and NASA-AERONET references, under different aerosol regimes using the standard Langley calibration method as a reference.
Igor Veselovskii, Nikita Kasianik, Mikhail Korenskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, and Dong Liu
Atmos. Meas. Tech., 16, 2055–2065, https://doi.org/10.5194/amt-16-2055-2023, https://doi.org/10.5194/amt-16-2055-2023, 2023
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A five-channel fluorescence lidar was developed for the study of atmospheric aerosol. The fluorescence spectrum induced by 355 nm laser emission is analyzed in five spectral intervals, namely 438 and 29, 472 and 32, 513 and 29, 560 and 40, and 614 and 54 nm. This lidar system was operated during strong forest fires. Our results demonstrate that, for urban aerosol, the maximal fluorescence backscattering is observed at 472 nm, while for smoke, the spectrum is shifted toward longer wavelengths.
Emily D. Lenhardt, Lan Gao, Jens Redemann, Feng Xu, Sharon P. Burton, Brian Cairns, Ian Chang, Richard A. Ferrare, Chris A. Hostetler, Pablo E. Saide, Calvin Howes, Yohei Shinozuka, Snorre Stamnes, Mary Kacarab, Amie Dobracki, Jenny Wong, Steffen Freitag, and Athanasios Nenes
Atmos. Meas. Tech., 16, 2037–2054, https://doi.org/10.5194/amt-16-2037-2023, https://doi.org/10.5194/amt-16-2037-2023, 2023
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Small atmospheric particles, such as smoke from wildfires or pollutants from human activities, impact cloud properties, and clouds have a strong influence on climate. To better understand the distributions of these particles, we develop relationships to derive their concentrations from remote sensing measurements from an instrument called a lidar. Our method is reliable for smoke particles, and similar steps can be taken to develop relationships for other particle types.
Nick Gorkavyi, Nickolay Krotkov, and Alexander Marshak
Atmos. Meas. Tech., 16, 1527–1537, https://doi.org/10.5194/amt-16-1527-2023, https://doi.org/10.5194/amt-16-1527-2023, 2023
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The article discusses topical issues of the visible (libration) motion of the Earth in the sky of the Moon in a rectangle measuring 13.4° × 15.8°. On the one hand, the librations of the Moon make these observations difficult. On the other hand, they can be used as a natural scanning mechanism for cameras and spectroscopes mounted on a fixed platform on the surface of the Moon.
Norman T. O'Neill, Keyvan Ranjbar, Liviu Ivănescu, Thomas F. Eck, Jeffrey S. Reid, David M. Giles, Daniel Pérez-Ramírez, and Jai Prakash Chaubey
Atmos. Meas. Tech., 16, 1103–1120, https://doi.org/10.5194/amt-16-1103-2023, https://doi.org/10.5194/amt-16-1103-2023, 2023
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Aerosols are atmospheric particles that vary in size (radius) from a fraction of a micrometer (µm) to around 20 µm. They tend to be either smaller than 1 µm (like smoke or pollution) or larger than 1 µm (like dust or sea salt). Their optical effect (scattering and absorbing sunlight) can be divided into FM (fine-mode) and CM (coarse-mode) parts using a cutoff radius around 1 µm or a spectral (color) technique. We present and validate a theoretical link between the types of FM and CM divisions.
Nakul N. Karle, Ricardo K. Sakai, Rosa M. Fitzgerald, Charles Ichoku, Fernando Mercado, and William R. Stockwell
Atmos. Meas. Tech., 16, 1073–1085, https://doi.org/10.5194/amt-16-1073-2023, https://doi.org/10.5194/amt-16-1073-2023, 2023
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Extensive virga research is uncommon, even though it is a common phenomenon. A systematic method was developed to characterize virga using available datasets. In total, 50 virga events were observed, appearing only during a specific time of the year, revealing a seasonal pattern. These virga events were identified and classified, and their impact on surface PM measurements was investigated. A more detailed examination of the selected events reveals that virga impacts regional air quality.
Jens Reichardt, Oliver Behrendt, and Felix Lauermann
Atmos. Meas. Tech., 16, 1–13, https://doi.org/10.5194/amt-16-1-2023, https://doi.org/10.5194/amt-16-1-2023, 2023
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The UVA spectrometer is the latest instrumental addition to the spectrometric fluorescence and Raman lidar RAMSES. The redesigned receiver and the data analysis of the fluorescence measurement are described. Furthermore, the effect of aerosol fluorescence on humidity measurements is studied. It turns out that Raman lidars equipped with a spectrometer show superior performance over those with one discrete fluorescence detection channel only. The cause is variability in the fluorescence spectrum.
Jie Luo, Zhengqiang Li, Cheng Fan, Hua Xu, Ying Zhang, Weizhen Hou, Lili Qie, Haoran Gu, Mengyao Zhu, Yinna Li, and Kaitao Li
Atmos. Meas. Tech., 15, 2767–2789, https://doi.org/10.5194/amt-15-2767-2022, https://doi.org/10.5194/amt-15-2767-2022, 2022
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A single model is difficult to represent various shapes of dust. We proposed a tunable model to represent dust with various shapes. Two tunable parameters were used to represent the effects of the erosion degree and binding forces from the mass center. Thus, the model can represent various dust shapes by adjusting the tunable parameters. Besides, the applicability of the spheroid model in calculating the optical properties and polarimetric characteristics is evaluated.
Peristera Paschou, Nikolaos Siomos, Alexandra Tsekeri, Alexandros Louridas, George Georgoussis, Volker Freudenthaler, Ioannis Binietoglou, George Tsaknakis, Alexandros Tavernarakis, Christos Evangelatos, Jonas von Bismarck, Thomas Kanitz, Charikleia Meleti, Eleni Marinou, and Vassilis Amiridis
Atmos. Meas. Tech., 15, 2299–2323, https://doi.org/10.5194/amt-15-2299-2022, https://doi.org/10.5194/amt-15-2299-2022, 2022
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The eVe lidar delivers quality-assured aerosol and cloud optical properties according to the standards of ACTRIS. It is a mobile reference system for the validation of the ESA's Aeolus satellite mission (L2 aerosol and cloud products). eVe provides linear and circular polarisation measurements with Raman capabilities. Here, we describe the system design, the polarisation calibration techniques, and the software for the retrieval of the optical products.
Yu Zheng, Huizheng Che, Yupeng Wang, Xiangao Xia, Xiuqing Hu, Xiaochun Zhang, Jun Zhu, Jibiao Zhu, Hujia Zhao, Lei Li, Ke Gui, and Xiaoye Zhang
Atmos. Meas. Tech., 15, 2139–2158, https://doi.org/10.5194/amt-15-2139-2022, https://doi.org/10.5194/amt-15-2139-2022, 2022
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Ground-based observations of aerosols and aerosol data verification is important for satellite and climate model modification. Here we present an evaluation of aerosol microphysical, optical and radiative properties measured using a multiwavelength photometer with a highly integrated design and smart control performance. The validation of this product is discussed in detail using AERONET as a reference. This work contributes to reducing AOD uncertainties in China and combating climate change.
Alexandra Tsekeri, Vassilis Amiridis, Alexandros Louridas, George Georgoussis, Volker Freudenthaler, Spiros Metallinos, George Doxastakis, Josef Gasteiger, Nikolaos Siomos, Peristera Paschou, Thanasis Georgiou, George Tsaknakis, Christos Evangelatos, and Ioannis Binietoglou
Atmos. Meas. Tech., 14, 7453–7474, https://doi.org/10.5194/amt-14-7453-2021, https://doi.org/10.5194/amt-14-7453-2021, 2021
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Dust orientation in the Earth's atmosphere has been an ongoing investigation in recent years, and its potential proof will be a paradigm shift for dust remote sensing. We have designed and developed a polarization lidar that provides direct measurements of dust orientation, as well as more detailed information of the particle microphysics. We provide a description of its design as well as its first measurements.
Antti Arola, William Wandji Nyamsi, Antti Lipponen, Stelios Kazadzis, Nickolay A. Krotkov, and Johanna Tamminen
Atmos. Meas. Tech., 14, 4947–4957, https://doi.org/10.5194/amt-14-4947-2021, https://doi.org/10.5194/amt-14-4947-2021, 2021
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Methods to estimate surface UV radiation from satellite measurements offer the only means to obtain global coverage, and the development of satellite-based UV algorithms has been ongoing since the early 1990s. One of the main challenges in this development has been how to account for the overall effect of absorption by atmospheric aerosols. One such method was suggested roughly a decade ago, and in this study we propose further improvements for this kind of approach.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Marie Choël, Nicolas Visez, and Mikhail Korenskiy
Atmos. Meas. Tech., 14, 4773–4786, https://doi.org/10.5194/amt-14-4773-2021, https://doi.org/10.5194/amt-14-4773-2021, 2021
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The multiwavelength Mie–Raman–fluorescence lidar of the University of Lille was used to characterize aerosols during the pollen season in the north of France for the period March–June 2020. The results of observations demonstrate that the presence of pollen grains in aerosol mixtures leads to an increase in the depolarization ratio and to the enhancement of the fluorescence backscattering.
Lewis Grasso, Daniel Bikos, Jorel Torres, John F. Dostalek, Ting-Chi Wu, John Forsythe, Heather Q. Cronk, Curtis J. Seaman, Steven D. Miller, Emily Berndt, Harry G. Weinman, and Kennard B. Kasper
Atmos. Meas. Tech., 14, 1615–1634, https://doi.org/10.5194/amt-14-1615-2021, https://doi.org/10.5194/amt-14-1615-2021, 2021
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This study uses geostationary imagery to detect dust. This research was done to demonstrate the ability of dust detection over ocean surfaces in a dry atmosphere.
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Mikhail Korenskiy, Olivier Pujol, Oleg Dubovik, and Anton Lopatin
Atmos. Meas. Tech., 13, 6691–6701, https://doi.org/10.5194/amt-13-6691-2020, https://doi.org/10.5194/amt-13-6691-2020, 2020
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To study the feasibility of a fluorescence lidar for aerosol characterization, the fluorescence channel is added to the multiwavelength Mie-Raman lidar of Lille University. A part of the fluorescence spectrum is selected by the interference filter of 44 nm bandwidth centered at 466 nm. Such an approach has demonstrated high sensitivity, allowing fluorescence signals from weak aerosol layers to be detected. The technique can also be used for monitoring the aerosol inside the cloud layers.
Katta Vijayakumar, Panuganti C. S. Devara, Sunil M. Sonbawne, David M. Giles, Brent N. Holben, Sarangam Vijaya Bhaskara Rao, and Chalicheemalapalli K. Jayasankar
Atmos. Meas. Tech., 13, 5569–5593, https://doi.org/10.5194/amt-13-5569-2020, https://doi.org/10.5194/amt-13-5569-2020, 2020
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The direct-Sun and inversion products of urban atmospheric aerosols, obtained from a Cimel Sun–sky radiometer in Pune, India, under the AERONET program since October 2004, have been reported in this paper. The mean seasonal variations in AOD from cloud-free days indicated greater values during the monsoon season, revealing dominance of hygroscopic aerosols over the station. Such results are sparse in India and are important for estimating aerosol radiative forcing and validating climate models.
Teruyuki Nakajima, Monica Campanelli, Huizheng Che, Victor Estellés, Hitoshi Irie, Sang-Woo Kim, Jhoon Kim, Dong Liu, Tomoaki Nishizawa, Govindan Pandithurai, Vijay Kumar Soni, Boossarasiri Thana, Nas-Urt Tugjsurn, Kazuma Aoki, Sujung Go, Makiko Hashimoto, Akiko Higurashi, Stelios Kazadzis, Pradeep Khatri, Natalia Kouremeti, Rei Kudo, Franco Marenco, Masahiro Momoi, Shantikumar S. Ningombam, Claire L. Ryder, Akihiro Uchiyama, and Akihiro Yamazaki
Atmos. Meas. Tech., 13, 4195–4218, https://doi.org/10.5194/amt-13-4195-2020, https://doi.org/10.5194/amt-13-4195-2020, 2020
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This paper overviews the progress in sky radiometer technology and the development of the network called SKYNET. It is found that the technology has produced useful on-site calibration methods, retrieval algorithms, and data analyses from sky radiometer observations of aerosol, cloud, water vapor, and ozone. The paper also discusses current issues of SKYNET to provide better information for the community.
Grigorii P. Kokhanenko, Yurii S. Balin, Marina G. Klemasheva, Sergei V. Nasonov, Mikhail M. Novoselov, Iogannes E. Penner, and Svetlana V. Samoilova
Atmos. Meas. Tech., 13, 1113–1127, https://doi.org/10.5194/amt-13-1113-2020, https://doi.org/10.5194/amt-13-1113-2020, 2020
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Cirrus clouds consist of crystals (plates, needles) that can orient themselves in space as a result of free fall. This leads to the appearance of various types of optical halo and to specular reflection of solar radiation. The presence of such particles significantly affects the passage of thermal radiation through the mid- and high-level ice clouds. Using the properties of polarization, a scanning lidar makes it possible to identify cloud areas with oriented crystals.
Hans Grob, Claudia Emde, Matthias Wiegner, Meinhard Seefeldner, Linda Forster, and Bernhard Mayer
Atmos. Meas. Tech., 13, 239–258, https://doi.org/10.5194/amt-13-239-2020, https://doi.org/10.5194/amt-13-239-2020, 2020
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Polarimetry has been established as an enhancement to classical photometry in aerosol remote sensing over the past years. We propose a fast and exact radiometric and polarimetric calibration method for polarized photometers. Additionally, a technique for correcting an alt-azimuthal mount is introduced.
These methods are applied to measurements obtained with our SSARA instrument during the A-LIFE field campaign. For 2 d, the data are subjected to an inversion of aerosol optical properties.
Akihiro Uchiyama, Masataka Shiobara, Hiroshi Kobayashi, Tsuneo Matsunaga, Akihiro Yamazaki, Kazunori Inei, Kazuhiro Kawai, and Yoshiaki Watanabe
Atmos. Meas. Tech., 12, 6465–6488, https://doi.org/10.5194/amt-12-6465-2019, https://doi.org/10.5194/amt-12-6465-2019, 2019
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The majority of aerosol data are obtained from daytime measurements using the Sun as a light source, and there are few datasets available for studying nighttime aerosol characteristics. To estimate the aerosol optical depth (AOD) during the nighttime using the moon as a light source, a radiometer for the daytime was modified, and a new calibration method was developed. As a result, the estimations of the nighttime AOD were made with the same degree of precision and accuracy during the daytime.
Chong Wang, Mingjiao Jia, Haiyun Xia, Yunbin Wu, Tianwen Wei, Xiang Shang, Chengyun Yang, Xianghui Xue, and Xiankang Dou
Atmos. Meas. Tech., 12, 3303–3315, https://doi.org/10.5194/amt-12-3303-2019, https://doi.org/10.5194/amt-12-3303-2019, 2019
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To investigate the relationship between BLH and air pollution under different conditions, a compact micro-pulse lidar integrating both direct-detection lidar and coherent Doppler wind lidar is built. Evolution of atmospheric boundary layer height (BLH), aerosol layer and fine structure in cloud base are well retrieved. Negative correlation exists between BLH and PM2.5. Different trends show that the relationship between PM2.5 and BLH should be considered in different boundary layer categories.
Maxence Descheemaecker, Matthieu Plu, Virginie Marécal, Marine Claeyman, Francis Olivier, Youva Aoun, Philippe Blanc, Lucien Wald, Jonathan Guth, Bojan Sič, Jérôme Vidot, Andrea Piacentini, and Béatrice Josse
Atmos. Meas. Tech., 12, 1251–1275, https://doi.org/10.5194/amt-12-1251-2019, https://doi.org/10.5194/amt-12-1251-2019, 2019
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The future Flexible Combined Imager (FCI) on board MeteoSat Third Generation is expected to improve the detection and the quantification of aerosols. The study assesses the potential of FCI/VIS04 channel for monitoring air pollution in Europe. An observing system simulation experiment in MOCAGE is developed, and they show a large positive impact of the assimilation over a 4-month period and particularly during a severe pollution episode. The added value of geostationary data is also assessed.
Charles J. Vernon, Ryan Bolt, Timothy Canty, and Ralph A. Kahn
Atmos. Meas. Tech., 11, 6289–6307, https://doi.org/10.5194/amt-11-6289-2018, https://doi.org/10.5194/amt-11-6289-2018, 2018
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The height that aerosols are injected into the atmosphere can significantly impact the dispersion of aerosol plumes. We use direct observations from the MISR instrument to determine aerosol injection height and constrain the HYSPLIT Dispersion model with these data. We have shown that the nominal plume-rise calculation within HYSPLIT tends to underestimate injection heights of wildfires and that simulations constrained with MISR injection height can show better agreement with MODIS observations.
Akihiro Uchiyama, Tsuneo Matsunaga, and Akihiro Yamazaki
Atmos. Meas. Tech., 11, 5363–5388, https://doi.org/10.5194/amt-11-5363-2018, https://doi.org/10.5194/amt-11-5363-2018, 2018
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Atmospheric aerosols are an important constituent of the atmosphere. Measurement networks using radiometers such as SKYNET have been developed. There are two constants that we must determine to make accurate measurements. One of them is the calibration constant. The accuracy of the current method to determine this was investigated and the new method for water vapor and near-infrared channels was developed. Utilizing the results of this paper, SKYNET measurement data will become more reliable.
Akihiro Uchiyama, Tsuneo Matsunaga, and Akihiro Yamazaki
Atmos. Meas. Tech., 11, 5389–5402, https://doi.org/10.5194/amt-11-5389-2018, https://doi.org/10.5194/amt-11-5389-2018, 2018
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Atmospheric aerosols are an important constituent of the atmosphere. Measurement networks using radiometers such as SKYNET have been developed. There are two constants that we must determine. One of them is the solid view angle (SVA) of the radiometer. The problems related to SVA were investigated. It was shown that the conventional method can cause a systematic underestimation, and an improved method was proposed. Utilizing the results of this paper, SKYNET data will become more reliable.
Ioana Elisabeta Popovici, Philippe Goloub, Thierry Podvin, Luc Blarel, Rodrigue Loisil, Florin Unga, Augustin Mortier, Christine Deroo, Stéphane Victori, Fabrice Ducos, Benjamin Torres, Cyril Delegove, Marie Choël, Nathalie Pujol-Söhne, and Christophe Pietras
Atmos. Meas. Tech., 11, 4671–4691, https://doi.org/10.5194/amt-11-4671-2018, https://doi.org/10.5194/amt-11-4671-2018, 2018
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This paper aims to show the potential of an instrumented mobile platform, performing on-road remote sensing and in situ measurements, to derive aerosol properties. It is distinguished from other transportable platforms through its ability to perform measurements during movement. Its reduced size, versatility and great flexibility makes it suitable for following sudden aerosol events and for validating satellite measurements and model simulations.
Kirk Knobelspiesse and Sreeja Nag
Atmos. Meas. Tech., 11, 3935–3954, https://doi.org/10.5194/amt-11-3935-2018, https://doi.org/10.5194/amt-11-3935-2018, 2018
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We test if small satellites flying in formation can be used for multi-angle aerosol remote sensing. So far, this has only been done with multiple views on one satellite. Single-view angle satellites flying in formation are a technically feasible alternative, although with different geometries. Using Bayesian information content analysis, we find such satellites equally capable. For aerosol remote sensing, the number of viewing angles is the most important.
Landon A. Rieger, Elizaveta P. Malinina, Alexei V. Rozanov, John P. Burrows, Adam E. Bourassa, and Doug A. Degenstein
Atmos. Meas. Tech., 11, 3433–3445, https://doi.org/10.5194/amt-11-3433-2018, https://doi.org/10.5194/amt-11-3433-2018, 2018
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This paper compares aerosol extinction records from two limb scattering instruments, OSIRIS and SCIAMACHY, to that from the occultation instrument SAGE II. Differences are investigated through modelling and retrieval studies and important sources of systematic errors are quantified. It is found that the largest biases come from uncertainties in the aerosol size distribution and the aerosol particle concentration at altitudes above 30 km.
Evgenia Galytska, Vassyl Danylevsky, René Hommel, and John P. Burrows
Atmos. Meas. Tech., 11, 2101–2118, https://doi.org/10.5194/amt-11-2101-2018, https://doi.org/10.5194/amt-11-2101-2018, 2018
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This research assesses the influence of biomass burning during forest fires throughout summer 2010 on aerosol load over Ukraine, the European territory of Russia (ETR) and Eastern Europe. We apply and compare ground-based and satellite measurements to determine aerosol content, dynamics, and properties. With the application of modeling techniques (HYSPLIT), we show that the maximum AOD in August 2010 over Ukraine was caused by particle transport from the forest fires in the ETR.
Livio Belegante, Juan Antonio Bravo-Aranda, Volker Freudenthaler, Doina Nicolae, Anca Nemuc, Dragos Ene, Lucas Alados-Arboledas, Aldo Amodeo, Gelsomina Pappalardo, Giuseppe D'Amico, Francesco Amato, Ronny Engelmann, Holger Baars, Ulla Wandinger, Alexandros Papayannis, Panos Kokkalis, and Sérgio N. Pereira
Atmos. Meas. Tech., 11, 1119–1141, https://doi.org/10.5194/amt-11-1119-2018, https://doi.org/10.5194/amt-11-1119-2018, 2018
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This paper presents different depolarization calibration procedures used to improve the quality of the depolarization data. The results illustrate a significant improvement of the depolarization lidar products for all the selected EARLINET lidar instruments. The calibrated volume and particle depolarization profiles at 532 nm show values that fall within a range that is accepted in the literature. The depolarization accuracy estimate at 532 nm is better than ±0.03 for all cases.
Igor V. Geogdzhayev and Alexander Marshak
Atmos. Meas. Tech., 11, 359–368, https://doi.org/10.5194/amt-11-359-2018, https://doi.org/10.5194/amt-11-359-2018, 2018
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The unique Earth view of the Deep Space Climate Observatory (DSCOVR) Earth Polychromatic Imaging Camera (EPIC) orbiting at the point of equal attraction from the Earth and the Sun can significantly augment the low-orbit remote sensing of aerosols, clouds and gases. We derive the relationship between the digital counts and the reflected sunlight intensity for some EPIC channels using collocated Earth views from EPIC and Moderate Resolution Imaging Spectroradiometer (MODIS) and EPIC moon views.
Panagiotis Kokkalis
Atmos. Meas. Tech., 10, 3103–3115, https://doi.org/10.5194/amt-10-3103-2017, https://doi.org/10.5194/amt-10-3103-2017, 2017
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The mathematical formulation for the optical setup of a typical EARLINET lidar system is given here. The equations describing a lidar system from the emitted laser beam to the projection of the telescope aperture on the final receiving unit (i.e., photomultiplier or photodiode) are presented, based on paraxial approximation and a geometric optics approach. The evaluation of the formulation is performed with ray-tracing simulations on a real system.
Andrew M. Sayer, N. Christina Hsu, Corey Bettenhausen, Robert E. Holz, Jaehwa Lee, Greg Quinn, and Paolo Veglio
Atmos. Meas. Tech., 10, 1425–1444, https://doi.org/10.5194/amt-10-1425-2017, https://doi.org/10.5194/amt-10-1425-2017, 2017
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The satellite instrument VIIRS is being used to carry on observations of the Earth made by older satellites like MODIS. Data sets created from these satellite observations depend on the quality of the satellite instruments' calibration. This paper describes a comparison between the calibration of these two sensors. MODIS is believed to be more reliable and so VIIRS is corrected to bring it in line with MODIS. These corrections are shown to improve the quality of VIIRS aerosol data.
Thomas Carlund, Natalia Kouremeti, Stelios Kazadzis, and Julian Gröbner
Atmos. Meas. Tech., 10, 905–923, https://doi.org/10.5194/amt-10-905-2017, https://doi.org/10.5194/amt-10-905-2017, 2017
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Aerosols play an important role in atmospheric processes. Aerosol optical depth is the most common measure of columnar aerosol load. We present a sunphotometer called UVPFR that is able to measure aerosol optical depth in the ultraviolet range, including the calibration, characterization and validation of the instrument/measurements. The instrument will serve as a reference on the intercalibration of Brewer spectrophotometers that are also able to measure aerosol optical depth in the UV region.
A. Fernando Almansa, Emilio Cuevas, Benjamín Torres, África Barreto, Rosa D. García, Victoria E. Cachorro, Ángel M. de Frutos, César López, and Ramón Ramos
Atmos. Meas. Tech., 10, 565–579, https://doi.org/10.5194/amt-10-565-2017, https://doi.org/10.5194/amt-10-565-2017, 2017
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This study presents a new zenith-looking narrow-band radiometer-based system (ZEN), conceived for dust aerosol optical depth (AOD) monitoring. The ZEN system comprises a robust and automated radiometer (ZEN-R41), and a lookup table methodology for AOD retrieval (ZEN-LUT). Our results suggest that ZEN is a suitable system to fill the current observational gaps and to complement observations performed by sun-photometer networks in order to improve mineral dust monitoring in remote locations.
Stelios Kazadzis, Panagiotis Raptis, Natalia Kouremeti, Vassilis Amiridis, Antti Arola, Evangelos Gerasopoulos, and Gregory L. Schuster
Atmos. Meas. Tech., 9, 5997–6011, https://doi.org/10.5194/amt-9-5997-2016, https://doi.org/10.5194/amt-9-5997-2016, 2016
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Aerosols play an important role in the Earth's climate. One of the main aerosol properties is the single scattering albedo which is a measure of the aerosol absorption. In this work we have presented a method to retrieve this aerosol property in the ultraviolet and we presented the results for measurements at the urban environment of Athens, Greece. We show that the spectral dependence of the aerosol absorption in the VIS–IR and the UV range depends on the aerosol composition and type.
Moritz Haarig, Ronny Engelmann, Albert Ansmann, Igor Veselovskii, David N. Whiteman, and Dietrich Althausen
Atmos. Meas. Tech., 9, 4269–4278, https://doi.org/10.5194/amt-9-4269-2016, https://doi.org/10.5194/amt-9-4269-2016, 2016
Volker Freudenthaler
Atmos. Meas. Tech., 9, 4181–4255, https://doi.org/10.5194/amt-9-4181-2016, https://doi.org/10.5194/amt-9-4181-2016, 2016
Simone Kotthaus, Ewan O'Connor, Christoph Münkel, Cristina Charlton-Perez, Martial Haeffelin, Andrew M. Gabey, and C. Sue B. Grimmond
Atmos. Meas. Tech., 9, 3769–3791, https://doi.org/10.5194/amt-9-3769-2016, https://doi.org/10.5194/amt-9-3769-2016, 2016
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Ceilometers lidars are useful to study clouds, aerosol layers and atmospheric boundary layer structures. As sensor optics and acquisition algorithms can strongly influence the observations, sensor specifics need to be incorporated into the physical interpretation. Here, recommendations are made for the operation and processing of profile observations from the widely deployed Vaisala CL31 ceilometer. Proposed corrections are shown to increase data quality and even data availability at times.
Maxime Hervo, Yann Poltera, and Alexander Haefele
Atmos. Meas. Tech., 9, 2947–2959, https://doi.org/10.5194/amt-9-2947-2016, https://doi.org/10.5194/amt-9-2947-2016, 2016
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Imperfections in a lidar's overlap function lead to artefacts in the lidar (Light Detection and Ranging) signals. These artefacts can erroneously be interpreted as an aerosol gradient or, in extreme cases, as a cloud base leading to false cloud detection. In this study an algorithm is presented to correct such artefacts.
The algorithm is completely automatic and does not require any intervention on site. It is therefore suited for use in large automatic lidar networks.
Aaron R. Naeger, Pawan Gupta, Bradley T. Zavodsky, and Kevin M. McGrath
Atmos. Meas. Tech., 9, 2463–2482, https://doi.org/10.5194/amt-9-2463-2016, https://doi.org/10.5194/amt-9-2463-2016, 2016
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In this study, we merge aerosol information from multiple satellite sensors on board low-earth orbiting (LEO) and geostationary (GEO) platforms in order to provide a more comprehensive understanding of the spatial distribution of aerosols compared to when only using single sensors as is commonly done. Our results show that merging aerosol information from LEO and GEO platforms can be very useful, which paves the way for applications to the more advanced next-generation of satellites.
Ronny Engelmann, Thomas Kanitz, Holger Baars, Birgit Heese, Dietrich Althausen, Annett Skupin, Ulla Wandinger, Mika Komppula, Iwona S. Stachlewska, Vassilis Amiridis, Eleni Marinou, Ina Mattis, Holger Linné, and Albert Ansmann
Atmos. Meas. Tech., 9, 1767–1784, https://doi.org/10.5194/amt-9-1767-2016, https://doi.org/10.5194/amt-9-1767-2016, 2016
Short summary
Short summary
The atmospheric science community demands for autonomous and quality-assured vertically resolved measurements of aerosol and cloud properties. For this purpose, a portable lidar called Polly
was developed at TROPOS in 2003. This lidar type was continuously improved with gained experience from EARLINET, worldwide field campaigns, and institute collaborations within the last 10 years. We present recent changes to the setup of our portable multiwavelength Raman and polarization lidar PollyXT.
Zongming Tao, Zhenzhu Wang, Shijun Yang, Huihui Shan, Xiaomin Ma, Hui Zhang, Sugui Zhao, Dong Liu, Chenbo Xie, and Yingjian Wang
Atmos. Meas. Tech., 9, 1369–1376, https://doi.org/10.5194/amt-9-1369-2016, https://doi.org/10.5194/amt-9-1369-2016, 2016
Short summary
Short summary
A new measurement technology of PM2.5 mass concentration profile near ground is addressed using a CCD side-scatter lidar and a PM2.5 detector.
The PM2.5 mass concentration profile can be built upon the vertical distribution of the extinction coefficient for aerosol. The PM2.5 is always loading in the planet boundary layer with a complex muti-layer structure. The new method for PM2.5 mass concentration profile is useful for improving our understanding of air quality and atmospheric environment.
B. J. Elash, A. E. Bourassa, P. R. Loewen, N. D. Lloyd, and D. A. Degenstein
Atmos. Meas. Tech., 9, 1261–1277, https://doi.org/10.5194/amt-9-1261-2016, https://doi.org/10.5194/amt-9-1261-2016, 2016
Joel McCorkel, Brian Cairns, and Andrzej Wasilewski
Atmos. Meas. Tech., 9, 955–962, https://doi.org/10.5194/amt-9-955-2016, https://doi.org/10.5194/amt-9-955-2016, 2016
Short summary
Short summary
The transfer and maintenance of international radiometric standards to satellite remote-sensing instruments is a labor-intensive and costly one. The goal is to provide specific examples for calibration implementation for a potential instrument mission and, with this, advance debate on the roles that the various satellite calibration techniques play in providing the best radiometric standards for Earth-observing sensors.
África Barreto, Emilio Cuevas, María-José Granados-Muñoz, Lucas Alados-Arboledas, Pedro M. Romero, Julian Gröbner, Natalia Kouremeti, Antonio F. Almansa, Tom Stone, Carlos Toledano, Roberto Román, Mikhail Sorokin, Brent Holben, Marius Canini, and Margarita Yela
Atmos. Meas. Tech., 9, 631–654, https://doi.org/10.5194/amt-9-631-2016, https://doi.org/10.5194/amt-9-631-2016, 2016
Short summary
Short summary
This paper presents the new photometer CE318-T, able to perform daytime and
night-time photometric measurements using the sun and the moon as light
sources. This new device permits a complete cycle of diurnal aerosol and water vapour measurements to be extracted, valuable to enhance atmospheric monitoring. We have also highlighted the ability of this new device to capture short-term atmospheric variations, critical for climate studies.
R. C. Levy, L. A. Munchak, S. Mattoo, F. Patadia, L. A. Remer, and R. E. Holz
Atmos. Meas. Tech., 8, 4083–4110, https://doi.org/10.5194/amt-8-4083-2015, https://doi.org/10.5194/amt-8-4083-2015, 2015
Short summary
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Aerosol optical depth (AOD) is an essential climate variable, so we seek to create a long-term AOD record. From MODIS, we have 15+ years, which we want to continue with VIIRS. Accounting for instrumental difference, we have developed a MODIS-like algorithm for VIIRS, and applied it to overlapping 2-year time period. In general, the two data sets are similar, except for VIIRS being high-biased over ocean. We discuss the impacts of calibration, resolution, and sampling on the results.
I. Veselovskii, D. N. Whiteman, M. Korenskiy, A. Suvorina, and D. Pérez-Ramírez
Atmos. Meas. Tech., 8, 4111–4122, https://doi.org/10.5194/amt-8-4111-2015, https://doi.org/10.5194/amt-8-4111-2015, 2015
Short summary
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We describe a practical implementation of rotational Raman (RR) measurements in an existing Mie-Raman lidar to obtain aerosol extinction and backscattering at 532nm. A 2.3nm width interference filter was used to select a spectral range characterized by low temperature sensitivity within the anti-Stokes branch of the RR spectrum. Simulations demonstrate that the temperature dependence of the scattering cross section does not exceed 1.5% in the 230-300K range.
Cited articles
AiryLab: Measurement Report for Celestron C11 Telescope, Tech. rep., AiryLab, available at: https://www.airylab.com/contenu/mesures/astro/rapport 2012-10002-a.pdf (last access: 21 September 2021), 2012.
a
Albert, J. E.: Satellite-Mounted Light Sources as Photometric Calibration
Standards for Ground-Based Telescopes, Astron. J., 143, 8,
https://doi.org/10.1088/0004-6256/143/1/8, 2012. a
Alekseeva, G. A.: The determination of atmospheric extinction by the stellar
magnitude differences method in stellar spectrophotometry, Izvestiya Glavnoj
Astronomicheskoj Observatorii v Pulkove, 198, 18–21, available at: http://adsabs.harvard.edu/abs/1980IzPul.198...18A (last access: 21 September 2021), 1980. a
Alekseeva, G. A., Galkin, V. D., Nikanorova, I. N., and Novikov, V. V.: A
Spectrophotometric Catalogue of 60 Selected Southern Stars, Balt.
Astron., 3, 361, https://doi.org/10.1515/astro-1994-0405, 1994. a
Alekseeva, G. A., Arkharov, A. A., Galkin, V. D., Hagen-Thorn, E., Nikanorova, I., Novikov, V. V., Novopashenny, V., Pakhomov, V., Ruban, E., and Shchegolev, D.: The Pulkovo Spectrophotometric Catalog of Bright Stars in the Range from 320 TO 1080 NM, Balt. Astron., 5, 603–838,
available at: http://adsabs.harvard.edu/abs/1997BaltA...6..481A (last access: 21 September 2021), 1996. a, b, c, d
ASTM-G173-03: Standard Tables for Reference Solar Spectral Irradiances: Direct Normal and Hemispherical on 37∘ Tilted Surface, ASTM International, https://doi.org/10.1520/G0173-03R12, 2012. a
Baibakov, K., O'Neill, N. T., Firanski, B., and Strawbridge, K.: Preliminary
Analysis of Night-time Aerosol Optical Depth Retrievals at a Rural,
Near-urban Site in Southern Canada, AIP Conference Proceedings, 3–8 August
2008, Foz do Iguaçu, Brazil, 1100, 443, https://doi.org/10.1063/1.3117015, 2009. a
Baibakov, K., O'Neill, N. T., Ivanescu, L., Duck, T. J., Perro, C., Herber, A., Schulz, K.-H., and Schrems, O.: Synchronous polar winter starphotometry and lidar measurements at a High Arctic station, Atmos. Meas. Tech., 8, 3789–3809, https://doi.org/10.5194/amt-8-3789-2015, 2015. a
Baker, D. J.: Rayleigh, the Unit for Light Radiance, Appl. Optics, 13,
2160–2163, https://doi.org/10.1364/AO.13.002160, 1974. a
Baudat, G.: Full Frame Guiding and Focusing, in: Northeast Astro-Imaging
Conference, Crowne Plaza Conference Center, Suffern, NY, USA, 6 April 2017, available at: https://www.innovationsforesight.com/PDF/FullFrameGuidingandFocusing_NEAIC2017_2.pdf (last access: 21 September 2021),
2017. a
Baum, B. A., Yang, P., Heymsfield, A. J., Bansemer, A., Cole, B. H., Merrelli, A., Schmitt, C., and Wang, C.: Ice cloud single-scattering property models with the full phase matrix at wavelengths from 0.2 to 100 µm, J. Quant. Spectrosc. Ra., 146, 123–139,
https://doi.org/10.1016/j.jqsrt.2014.02.029, 2014. a
Bessell, M. S.: Standard Photometric Systems, Annu. Rev. Astron. Astr., 43, 293–336, https://doi.org/10.1146/annurev.astro.41.082801.100251,
2005. a
Bohlin, R. C.: Hubble Space Telescope CALSPEC Flux Standards: Sirius (and
Vega), Astron. J., 147, 127, https://doi.org/10.1088/0004-6256/147/6/127, 2014. a
Bohlin, R. C., Dickinson, M. E., and Calzetti, D.: Spectrophotometric
Standards from the Far-Ultraviolet to the Near-Infrared: STIS and NICMOS
Fluxes, Astron. J., 122, 2118–2128, https://doi.org/10.1086/323137,
2001. a
Bohlin, R. C., Gordon, K. D., and Tremblay, P.-E.: Techniques and Review of
Absolute Flux Calibration from the Ultraviolet to the Mid-Infrared,
Publ. Astron. Soc. Pac., 126, 711–732,
https://doi.org/10.1086/677655, 2014. a, b
Box, G. P. and Taha, G.: Reply to “Comment on: “New method for inferring total ozone and aerosol optical thickness from multispectral extinction
measurements using eigenvalue analysis” by G. Taha and G.P. Box” by Xia
Xiangao and Wang Mingxing, Geophys. Res. Lett., 28, 1999–2000,
https://doi.org/10.1029/2001GL013210, 2001. a
Bucholtz, A.: Rayleigh-scattering calculations for the terrestrial
atmosphere, Appl. Optics, 34, 2765–2773, https://doi.org/10.1364/AO.34.002765, 1995. a, b
Burki, G., Rufener, F., Burnet, M., Richard, C., Blecha, A., and Bratschi, P.: The atmospheric extinction at the E.S.O. La Silla observatory, Astron. Astrophys. Sup., 112, 383,
available at: http://adsabs.harvard.edu/abs/1995A&AS..112..383B (last access: 21 September 2021), 1995. a
Cachorro, V. E., Romero, P. M., Toledano, C., Cuevas, E., and de Frutos, A. M.: The fictitious diurnal cycle of aerosol optical depth: A new approach for “in situ” calibration and correction of AOD data series, Geophys.
Res. Lett., 31, L12106, https://doi.org/10.1029/2004GL019651, 2004. a
Cannon, A. J. and Pickering, E. C.: The Henry Draper catalogue, Annals of the Astronomical Observatory of Harvard College, v. 91-93,96, Astronomical Observatory of Harvard College, Cambridge, Mass., USA, 1918–1921,
available at: https://www.worldcat.org/oclc/230383766 (last access: 21 September 2021), 1918. a
Carlund, T., Landelius, T., and Josefsson, W.: Comparison and Uncertainty of
Aerosol Optical Depth Estimates Derived from Spectral and Broadband
Measurements, J. Appl. Meteorol., 42, 1598–1610, https://doi.org/10.1175/1520-0450(2003)042<1598:CAUOAO>2.0.CO;2, 2003. a
Carroll, B. W. and Ostlie, D. A.: An Introduction to Modern Astrophysics, 2nd edn., Pearson Education, Inc., Addison Wesley,
available at: https://www.worldcat.org/oclc/69020924 (last access: 21 September 2021), 2007. a
Cede, A., Herman, J., Richter, A., Krotkov, N., and Burrows, J.: Measurements of nitrogen dioxide total column amounts using a Brewer double
spectrophotometer in direct Sun mode, J. Geophys. Res., 111,
D05304, https://doi.org/10.1029/2005JD006585, 2006. a
Chattopadhyay, R. and Midya, S. K.: Airglow emissions: fundamentals of theory and experiment, Indian J. Phys., 80, 115–166,
available at: http://hdl.handle.net/10821/204 (last access: 21 September 2021), 2006. a
Chew, B. N., Campbell, J. R., Reid, J. S., Giles, D. M., Welton, E. J.,
Salinas, S. V., and Liew, S. C.: Tropical cirrus cloud contamination in sun
photometer data, Atmos. Environ., 45, 6724–6731,
https://doi.org/10.1016/j.atmosenv.2011.08.017, 2011. a
Chylek, P., Henderson, B., and Mishchenko, M.: Aerosol radiative forcing and
the accuracy of satellite aerosol optical depth retrieval, J.
Geophys. Res.-Atmos., 108, 4764, https://doi.org/10.1029/2003jd004044,
2003. a
Dempsey, J. T., Storey, J. W. V., and Phillips, A.: Auroral Contribution to
Sky Brightness for Optical Astronomy on the Antarctic Plateau, Publ. Astron. Soc. Aust., 22, 91–104, https://doi.org/10.1071/AS04036, 2005. a, b
Deustua, S., Kent, S., and Smith, J. A.: Absolute Calibration of Astronomical Flux Standards, in: Planets, Stars and Stellar Systems,
Springer Netherlands, Dordrecht, the Netherlands, 375–402, https://doi.org/10.1007/978-94-007-5618-2_8, 2013. a
DeVore, J., Kristl, J. A., and Rappaport, S. A.: Retrieving cirrus
microphysical properties from stellar aureoles, J. Geophys.
Res.-Atmos., 118, 1–18, https://doi.org/10.1002/jgrd.50440, 2013. a
Dubovik, O., Smirnov, A. V., Holben, B. N., King, M. D., Kaufman, Y. J., Eck,
T. F., and Slutsker, I.: Accuracy assessments of aerosol optical properties
retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance
measurements, J. Geophys. Res.-Atmos., 105, 9791–9806,
https://doi.org/10.1029/2000JD900040, 2000. a
Eyer, L. and Grenon, M.: Photometric Variability in the HR Diagram, in:
Proceedings of the ESA Hipparcos Symposium SP-402, Venice, Italy, 13–16 May 1997, vol.
402, edited by: Bonnet, R., Høg, E., Bernacca, P.,
Emiliani, L., Blaauw, A., Turon, C., Kovalevsky, J., Lindegren, L., Hassan,
H., Bouffard, M., Strim, B., Heger, D., Perryman, M., and Woltjer, L., p. 467–472, available at: https://ui.adsabs.harvard.edu/abs/1997ESASP.402..467E/abstract (last access: 21 September 2021),
1997. a
Forgan, B. W.: General method for calibrating Sun photometers, Appl.
Optics, 33, 4841–4850, https://doi.org/10.1364/AO.33.004841, 1994. a
Fried, D. L.: Limiting Resolution Looking Down Through Atmosphere, J. Opt.
Soc. Am., 56, 1380–1384, https://doi.org/10.1364/JOSA.56.001380, 1966. a
Galkin, V. D. and Arkharov, A. A.: Determination of Extra Atmospheric
Monochromatic Stellar Magnitudes in the Region of Telluric Bands, Sov.
Astron., 25, 361–366, available at: http://adsabs.harvard.edu/abs/1981SvA....25..361G (last access: 21 September 2021), 1981. a
Galkin, V. D., Leiterer, U., Alekseeva, G. A., Novikov, V. V., and Pakhomov,
V. P.: Accuracy of the Water Vapour Content Measurements in the Atmosphere
Using Optical Methods, arXiv [preprint], arXiv:1010.3669, 18 October 2010. a
Galkin, V. D., Immler, F., Alekseeva, G. A., Berger, F.-H., Leiterer, U., Naebert, T., Nikanorova, I. N., Novikov, V. V., Pakhomov, V. P., and Sal'nikov, I. B.: Analysis of the application of the optical method to the measurements of the water vapor content in the atmosphere – Part 1: Basic concepts of the measurement technique, Atmos. Meas. Tech., 4, 843–856, https://doi.org/10.5194/amt-4-843-2011, 2011. a
Gattinger, R. L. and Jones, A. V.: Quantitative Spectroscopy of the Aurora.
II. The Spectrum of Medium Intensity Aurora Between 4500 and 8900 Å,
Can. J. Phys., 52, 2343–2356, https://doi.org/10.1139/p74-305, 1974. a, b
Giles, D. M., Sinyuk, A., Sorokin, M. G., Schafer, J. S., Smirnov, A., Slutsker, I., Eck, T. F., Holben, B. N., Lewis, J. R., Campbell, J. R., Welton, E. J., Korkin, S. V., and Lyapustin, A. I.: Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements, Atmos. Meas. Tech., 12, 169–209, https://doi.org/10.5194/amt-12-169-2019, 2019. a
Glindemann, A.: Relevant Parameters for Tip-Tilt Systems of Large Telescopes, Publ. Astron. Soc. Pac., 109, 682,
https://doi.org/10.1086/133932, 1997. a
Golay, M.: Introduction to Astronomical Photometry, vol. 41 of
Astrophysics and Space Science Library, D. Reidel Publishing Company,
https://doi.org/10.1007/978-94-010-2169-2, 1974. a, b
Gueymard, C. A.: Parameterized transmittance model for direct beam and
circumsolar spectral irradiance, Sol. Energy, 71, 325–346,
https://doi.org/10.1016/S0038-092X(01)00054-8, 2001. a
Gutierrez-Moreno, A. and Stock, J.: The Accuracy of Extinction
Determinations, Publicaciones Departmento de Astronomia Universidad de
Chile, Observatorio Astronómico Nacional Cerro Calan, 1, 19–22,
available at: https://ui.adsabs.harvard.edu/abs/1966PDAUC...1...19G/abstract (last access: 21 September 2021),
1966. a, b, c
Halthore, R. N., Eck, T. F., Holben, B. N., and Markham, B. L.: Sun
photometric measurements of atmospheric water vapor column abundance in the
940-nm band, J. Geophys. Res.-Atmos., 102, 4343–4352,
https://doi.org/10.1029/96JD03247, 1997. a
Hanuschik, R. W.: A flux-calibrated, high-resolution atlas of optical sky
emission from UVES, Astron. Astrophys., 407, 1157–1164,
https://doi.org/10.1051/0004-6361:20030885, 2003. a
Hardie, R.: Photoelectric Reductions, in: Stars and Stellar Systems, edited
by: Hiltner, W., vol. 2, chap. Astronomic, p. 180, The University of Chicago
Press, Chicago, USA, available at: http://www.worldcat.org/oclc/534975 (last access: 21 September 2021), 1962. a
He, F., Wei, Y., and Wan, W.: Equatorial aurora: the aurora-like airglow in
the negative magnetic anomaly, Natl. Sci. Rev., 7, 1606–1615,
https://doi.org/10.1093/nsr/nwaa083, 2020. a
Herber, A. B., Thomason, L. W., Gernandt, H., Leiterer, U., Nagel, D., Schulz, K.-H., Kaptur, J., Albrecht, T., and Notholt, J.: Continuous day and night aerosol optical depth observations in the Arctic between 1991 and 1999, J. Geophys. Res.-Atmos., 107, AAC 6-1–AAC 6-13,
https://doi.org/10.1029/2001JD000536, 2002. a, b
Hill, C., Yurchenko, S. N., and Tennyson, J.: Temperature-dependent molecular absorption cross sections for exoplanets and other atmospheres, Icarus, 226, 1673–1677, https://doi.org/10.1016/j.icarus.2012.07.028, 2013. a
Holben, B. N., Tanré, D., Smirnov, A. V., Eck, T. F., Slutsker, I.,
Abuhassan, N., Newcomb, W. W., Schafer, J. S., Chatenet, B., Lavenu, F.,
Kaufman, Y. J., Castle, J. V., Setzer, A., Markham, B., Clark, D., Frouin,
R., Halthore, R., Karneli, A., O'Neill, N. T., Pietras, C., Pinker, R. T.,
Voss, K., and Zibordi, G.: An emerging ground-based aerosol climatology:
Aerosol optical depth from AERONET, J. Geophys. Res.-Atmos., 106, 12067–12097, https://doi.org/10.1029/2001JD900014, 2001. a
Ivănescu, L.: Une application de la photométrie stellaire à
l'observation de nuages optiquement minces à Eureka, NU, MS thesis, UQAM, available at: https://www.archipel.uqam.ca/id/eprint/8417 (last access: 21 September 2021),
2015. a
Ivănescu, L.: Accuracy in starphotometry – code and data, Zenodo [data set], https://doi.org/10.5281/zenodo.4633904, 2021. a
Ivănescu, L., O'Neill, N. T., and Blanchet, J. P.: Spectrophotometric Catalog for Atmospheric Remote Sensing Through Star-photometry, in: American
Geophysical Union, Fall Meeting 2017, New Orleans Ernest N. Morial Convention Center, New Orleans, LA, USA, 11–15 December 2017, vol. 2017, abstract A23H-05,
available at: https://ui.adsabs.harvard.edu/#abs/2017AGUFM.A23H..05I (last access: 21 September 2021), 2017. a
Johnson, H. and Morgan, W.: Fundamental stellar photometry for standards of
spectral type on the revised system of the Yerkes spectral atlas,
Astrophys. J., 117, 313, https://doi.org/10.1086/145697, 1953. a
Jones, A. V. and Gattinger, R. L.: Quantitative Spectroscopy of the Aurora. I. The Spectrum of Bright Aurora between 7000 and 9000 Å at 7.5 Å
Resolution, Can. J. Phys., 50, 1833–1841,
https://doi.org/10.1139/p72-249, 1972. a
Jones, A. V. and Gattinger, R. L.: Quantitative Spectroscopy of the Aurora.
III. The Spectrum of Medium Intensity Aurora Between 3100 Å and 4700 Å, Can. J. Phys., 53, 1806–1813, https://doi.org/10.1139/p75-231,
1975. a
Jones, A. V. and Gattinger, R. L.: Quantitative spectroscopy of the aurora.
IV. The spectrum of medium intensity aurora between 8800 Å and 11 400 Å, Can. J. Phys., 54, 2128–2133, https://doi.org/10.1139/p76-251,
1976. a
Kaiser, M. and Access Team: ACCESS: Design, Calibration Strategy, and
Status, in: The Science of Calibration, edited by: Deustua, S., Allam, S.,
Tucker, D., and Smith, J., vol. 503 of Astronomical Society of the
Pacific Conference Series, p. 221, available at: http://aspbooks.org/custom/publications/paper/503-0221.html (last access: 21 September 2021),
2016. a
Kent, S., Kaiser, M. E., Deustua, S. E., Smith, J. A., Adelman, S., Allam, S., Baptista, B., Bohlin, R. C., Clem, J. L., Conley, A., Edelstein, J., Elias, J., Glass, I., Henden, A., Howell, S., Kimble, R. A., Kruk, J. W., Lampton, M., Magnier, E. A., McCandliss, S. R., Moos, W., Mostek, N., Mufson, S., Oswalt, T. D., Perlmutter, S., Prieto, C. A., Rauscher, B. J., Riess, A.,
Saha, A., Sullivan, M., Suntzeff, N., Tokunaga, A., Tucker, D., Wing, R.,
Woodgate, B., and Wright, E. L.: Photometric Calibrations for 21st Century
Science, Astro2010: The Astron. Astrophys. Decadal Survey, p. 8, arXiv [preprint], arXiv:0903.2799, 16 March 2009. a
King, I.: Effective extinction values in wide-band photometry, Astron. J., 57, 253, https://doi.org/10.1086/106766, 1952. a
King, M. D. and Byrne, D. M.: A Method for Inferring Total Ozone Content from the Spectral Variation of Total Optical Depth Obtained with a Solar Radiometer, J. Atmos. Sci., 33, 2242–2251, https://doi.org/10.1175/1520-0469(1976)033<2242:AMFITO>2.0.CO;2, 1976. a
Kippenhahn, R., Weigert, A., and Weiss, A.: Stellar Structure and Evolution, Springer, Berlin, Heidelberg, Germany, https://doi.org/10.1007/978-3-642-30304-3, 2012. a
Knyazeva, L. and Kharitonov, A.: Standard Stars for the Alma-Ata Catalog –
Energy Distribution in the Spectrum of VEGA, Sov. Astron., 34, 626,
available at: http://adsabs.harvard.edu/full/1990SvA....34..626K (last access: 21 September 2021), 1990. a
Krassovsky, V., Shefov, N., and Yarin, V.: Atlas of the airglow spectrum
3000–12 400 Å, Planet. Space Sci., 9, 883–915,
https://doi.org/10.1016/0032-0633(62)90008-9, 1962. a
Kyrölä, E., Tamminen, J., Leppelmeier, G., Sofieva, V., Hassinen,
S., Bertaux, J., Hauchecorne, A., Dalaudier, F., Cot, C., Korablev, O.,
Fanton d'Andon, O., Barrot, G., Mangin, A., Théodore, B., Guirlet, M.,
Etanchaud, F., Snoeij, P., Koopman, R., Saavedra, L., Fraisse, R., Fussen,
D., and Vanhellemont, F.: GOMOS on Envisat: an overview, Adv. Space
Res., 33, 1020–1028, https://doi.org/10.1016/S0273-1177(03)00590-8, 2004. a
Lebedev, V. A., Stepanov, V. V., Zykov, L., and Syundyukov, A. Y.: Method for determining the transparency of the atmosphere by photometry of stars, Federal Service for Intellectual Property, Russia,
available at: https://patents.google.com/patent/RU2620784C1 (last access: 21 September 2021), 2016 (in Russian). a
Le Borgne, J.-F., Bruzual, G., Pelló, R., Lançon, A.,
Rocca-Volmerange, B., Sanahuja, B., Schaerer, D., Soubiran, C., and
Vílchez-Gómez, R.: STELIB: A library of stellar spectra at
R=2000, Astron. Astrophys., 402, 433–442,
https://doi.org/10.1051/0004-6361:20030243, 2003. a
Leiterer, U., Naebert, A., Naebert, T., and Alekseeva, G. A.: A new star
photometer developed for spectral aerosol optical thickness measurements in
Lindenberg, Contributions to atmospheric physics, 68, 133–141,
available at: http://www.worldcat.org/oclc/3416825 (last access: 21 September 2021), 1995. a, b
Leiterer, U., Alekseeva, G. A., Galkin, V. D., Dier, D., Güldner, J.,
Naebert, A., Naebert, T., Novikov, V. V., Rentsch, H., and Sakunov, G.:
Water vapor column content and optical depths measurements by a sun- and
starphotometer, Contributions to atmospheric physics, 71, 401–420,
available at: http://www.worldcat.org/oclc/3416825 (last access: 21 September 2021), 1998. a, b
Lindenmaier, R., Strong, K., Batchelor, R. L., Bernath, P. F., Chabrillat, S., Chipperfield, M. P., Daffer, W. H., Drummond, J. R., Feng, W., Jonsson,
A. I., Kolonjari, F., Manney, G. L., McLinden, C., Menard, R., and Walker,
K. A.: A study of the Arctic NOy budget above Eureka, Canada, J. Geophys.
Res., 116, D23302, https://doi.org/10.1029/2011JD016207, 2011. a
Marouani, H. and Dagenais, M. R.: Internal Clock Drift Estimation in Computer Clusters, Journal of Computer Systems, Networks, and Communications, 2008, 1–7, https://doi.org/10.1155/2008/583162, 2008. a
Michalsky, J. J., Liljegren, J. C., and Harrison, L. C.: A comparison of Sun
photometer derivations of total column water vapor and ozone to standard
measures of same at the Southern Great Plains Atmospheric Radiation
Measurement site, J. Geophys. Res., 100, 995–1021,
https://doi.org/10.1029/95jd02706, 1995. a
Michalsky, J. J., Beauharnois, M., Berndt, J., Harrison, L., Kiedron, P., and
Min, Q.: O2-O2 absorption band identification based on optical depth spectra
of the visible and near-infrared, Geophys. Res. Lett., 26,
1581–1584, https://doi.org/10.1029/1999GL900267, 1999. a
Mitchell, R. M. and Forgan, B. W.: Aerosol Measurement in the Australian
Outback: Intercomparison of Sun Photometers, J. Atmos. Ocean. Tech., 20, 54–66, https://doi.org/10.1175/1520-0426(2003)020<0054:AMITAO>2.0.CO;2, 2003. a
Nijegorodov, N. and Luhanga, P. V.: Air mass: Analytical and empirical
treatment; an improved formula for air mass, Renew. Energ., 7, 57–65,
https://doi.org/10.1016/0960-1481(95)00111-5, 1996. a
Novikov, V.: Community comment on “Accuracy in starphotometry” by Liviu
Ivănescu et al., Atmos. Meas. Tech. Discuss.,
https://doi.org/10.5194/amt-2021-88-CC1, 2021. a
Nyassor, P. K., Buriti, R. A., Paulino, I., Medeiros, A. F., Takahashi, H., Wrasse, C. M., and Gobbi, D.: Determination of gravity wave parameters in the airglow combining photometer and imager data, Ann. Geophys., 36, 705–715, https://doi.org/10.5194/angeo-36-705-2018, 2018. a, b
Ochsenbein, F., Bauer, P., and Marcout, J.: The VizieR database of
astronomical catalogues, Astron. Astrophys. Sup., 143,
23–32, https://doi.org/10.1051/aas:2000169, 2000. a
Oke, J. and Schild, R. E.: The absolute spectral energy distribution of Alpha Lyrae, Astrophys. J., 161, 1015, https://doi.org/10.1086/150603, 1970. a
O'Neill, N. T., Eck, T., Holben, B. N., Smirnov, A. V., Dubovik, O., and Royer, A.: Bimodal size distribution influences on the variation of Angstrom
derivatives in spectral and optical depth space, J. Geophys.
Res.-Atmos., 106, 9787–9806, https://doi.org/10.1029/2000JD900245, 2001. a, b
O'Neill, N. T., Eck, T. F., Smirnov, A. V., Holben, B. N., and Thulasiraman,
S.: Spectral discrimination of coarse and fine mode optical depth, J. Geophys. Res., 108, 4559, https://doi.org/10.1029/2002JD002975, 2003. a
Orphal, J. and Chance, K.: Ultraviolet and visible absorption cross-sections
for HITRAN, J. Quant. Spectrosc. Ra., 82,
491–504, https://doi.org/10.1016/S0022-4073(03)00173-0, 2003. a
Orphal, J., Fellows, C. E., and Flaud, P.-M.: The visible absorption spectrum of NO3 measured by high-resolution Fourier transform spectroscopy, J. Geophys. Res.-Atmos., 108, 4077–4087,
https://doi.org/10.1029/2002JD002489, 2003. a
Owens, J. C.: Optical Refractive Index of Air: Dependence on Pressure,
Temperature and Composition, Appl. Optics, 6, 51–59,
https://doi.org/10.1364/AO.6.000051, 1967. a
Paraskeva, V., Norton, M., Hadjipanayi, M., and Georghiou, G. E.: Calibration of Spectroradiometers for Outdoor Direct Solar Spectral Irradiance Measurements, 28th European Photovoltaic Solar Energy Conference and Exhibition, Villepinte, France, 30 September–4 October 2013, 3466–3471, https://doi.org/10.4229/28THEUPVSEC2013-4AV.6.35, 2013. a
Peretz, E., Mather, J., Slonaker, R., O'Meara, J., Seager, S., Campbell, R.,
Hoerbelt, T., and Kain, I.: Orbiting Configurable Artificial Star (ORCAS)
for Visible Adaptive Optics from the Ground, Bulletin of the AAS, 51,
available at: https://baas.aas.org/pub/2020n7i284 (last access: 21 September 2021), 2019. a
Pérez-Ramírez, D., Aceituno, J., Ruiz, B., Olmo, F. J., and
Alados-Arboledas, L.: Development and calibration of a star photometer to
measure the aerosol optical depth: Smoke observations at a high mountain
site, Atmos. Environ., 42, 2733–2738,
https://doi.org/10.1016/j.atmosenv.2007.06.009, 2008a. a
Pérez-Ramírez, D., Ruiz, B., Aceituno, J., Olmo, F. J., and
Alados-Arboledas, L.: Application of Sun/star photometry to derive the
aerosol optical depth, Int. J. Remote Sens., 29,
5113–5132, https://doi.org/10.1080/01431160802036425, 2008b. a, b
Pérez-Ramírez, D., Lyamani, H., Olmo, F. J., and Alados-Arboledas, L.: Improvements in star photometry for aerosol characterizations, J. Aerosol Sci., 42, 737–745, https://doi.org/10.1016/j.jaerosci.2011.06.010, 2011. a
Pickering, E. C.: Revised Harvard Photometry: a catalogue of the positions,
photometric magnitudes and spectra of 9110 stars, mainly of the magnitude
6.50, and brighter observed with the 2 and 4 inch meridian photometers,
Annals of Harvard College Observatory, 50, 1,
available at: https://ui.adsabs.harvard.edu/abs/1908AnHar..50....1P/abstract (last access: 21 September 2021),
1908. a
Pickles, A. J.: A Stellar Spectral Flux Library: 1150–25 000 Å,
Publ. Astron. Soc. Pac., 110, 863–878,
https://doi.org/10.1086/316197, 1998. a
Qie, L., Li, Z., Goloub, P., Li, L., Li, D., Li, K., Zhang, Y., and Xu, H.:
Retrieval of the aerosol asymmetry factor from Sun–sky radiometer
measurements: application to almucantar geometry and accuracy assessment,
Appl. Optics, 56, 9932–9940, https://doi.org/10.1364/ao.56.009932, 2017. a
Racine, R.: The Telescope Point Spread Function, Publ. Astron. Soc. Pac., 108, 699, https://doi.org/10.1086/133788, 1996. a, b, c
Rapp-Arrarás, Í. and Domingo-Santos, J. M.: Functional forms for
approximating the relative optical air mass, J. Geophys.
Res.-Atmos., 116, D24308, https://doi.org/10.1029/2011JD016706, 2011. a
Rauch, T., Werner, K., Bohlin, R. C., and Kruk, J. W.: The virtual observatory service TheoSSA: Establishing a database of synthetic stellar flux standards, Astron. Astrophys., 560, A106,
https://doi.org/10.1051/0004-6361/201322336, 2013. a
Robertson, J. G.: Detector Sampling of Optical/IR Spectra: How Many Pixels per FWHM?, Publ. Astron. Soc. Aust., 34, e035,
https://doi.org/10.1017/pasa.2017.29, 2017. a
Roscoe, H. K., Jones, R. L., Freshwater, R. A., Fish, D., Wolfenden, R.,
Harries, J. E., and Oldham, D. J.: A star-pointing UV-visible spectrometer
for remote sensing of the stratosphere, in: Proceedings of SPIE, Optical
Methods in Atmospheric Chemistry, 1715, 374–380,
https://doi.org/10.1117/12.140226, 1993. a
Rothman, L., Gordon, I., Barbe, A., Benner, D., Bernath, P., Birk, M., Boudon, V., Brown, L., Campargue, A., Champion, J.-P., Chance, K., Coudert, L., Dana, V., Devi, V., Fally, S., Flaud, J.-M., Gamache, R., Goldman, A., Jacquemart, D., Kleiner, I., Lacome, N., Lafferty, W., Mandin, J.-Y., Massie, S., Mikhailenko, S., Miller, C., Moazzen-Ahmadi, N., Naumenko, O., Nikitin, A., Orphal, J., Perevalov, V., Perrin, A., Predoi-Cross, A., Rinsland, C.,
Rotger, M., Šimečková, M., Smith, M., Sung, K., Tashkun,
S., Tennyson, J., Toth, R., Vandaele, A., and Vander Auwera, J.: The
HITRAN 2008 molecular spectroscopic database, J. Quant.
Spectrosc. Ra., 110, 533–572,
https://doi.org/10.1016/j.jqsrt.2009.02.013, 2009. a
Rufener, F.: Technique et réduction des mesures dans un nouveau
système de photométrie stellaire, Archives des Sciences,
Genève, 16, 30, available at: http://www.worldcat.org/oclc/491819702 (last access: 21 September 2021), 1963. a
Samus, N. N., Kazarovets, E. V., Durlevich, O. V., Kireeva, N. N., and
Pastukhova, E. N.: General catalogue of variable stars: Version GCVS 5.1,
Astron. Rep.+, 61, 80–88, https://doi.org/10.1134/S1063772917010085, 2017. a
Shannon, C. E.: A Mathematical Theory of Communication, Bell Syst. Tech. J., 27, 379–423, https://doi.org/10.1002/j.1538-7305.1948.tb01338.x, 1948. a
Shaw, G. E.: Error analysis of multi-wavelength sun photometry, Pure Appl. Geophys., 114, 1–14, https://doi.org/10.1007/BF00875487, 1976. a
Shiobara, M., Asano, S., Shiobara, M., and Asano, S.: Estimation of Cirrus
Optical Thickness from Sun Photometer Measurements, J. Appl. Meteorol., 33, 672–681, https://doi.org/10.1175/1520-0450(1994)033<0672:EOCOTF>2.0.CO;2, 1994. a
Silva, D. R. and Cornell, M. E.: A new library of stellar optical spectra,
Astrophys. J. Supple. S., 81, 865, https://doi.org/10.1086/191706,
1992. a, b
Sivanandam, S., Graham, J. R., Abraham, R., Tekatch, A., Steinbring, E., Ngan, W., Welch, D. L., and Law, N. M.: Characterizing near-infrared sky
brightness in the Canadian high arctic, Proc. SPIE, 8446,
612–643, https://doi.org/10.1117/12.926251, 2012. a
Smirnov, A. V., Zhuravleva, T. B., Segal-Rosenheimer, M., and Holben, B. N.:
Limitations of AERONET SDA product in presence of cirrus clouds, J.
Quant. Spectrosc. Ra., 206, 338–341,
https://doi.org/10.1016/J.JQSRT.2017.12.007, 2018. a
Steinbring, E., Millar-Blanchaer, M., Ngan, W., Murowinski, R., Leckie, B., and Carlberg, R.: Preliminary DIMM and MASS Nighttime Seeing Measurements at
PEARL in the Canadian High Arctic, Publ. Astron. Soc. Pac., 125, 866–877, https://doi.org/10.1086/671482, 2013. a
Stock, J.: The atmospheric extinction in photoelectric photometry, Vistas Astron., 11, 127–146, https://doi.org/10.1016/0083-6656(69)90008-7, 1969. a, b, c, d
Stone, R. C.: An Accurate Method for Computing Atmospheric Refraction,
Publ. Astron. Soc. Pac., 108, 1051,
https://doi.org/10.1086/133831, 1996. a
Stubbs, C. W. and Tonry, J. L.: Toward 1 % Photometry: End‐to‐End
Calibration of Astronomical Telescopes and Detectors, Astrophys. J., 646, 1436–1444, https://doi.org/10.1086/505138, 2006. a
Taha, G. and Box, G. P.: New method for inferring total ozone and aerosol
optical thickness from multispectral extinction measurements using eigenvalue
analysis, Geophys. Res. Lett., 26, 3085–3088,
https://doi.org/10.1029/1999GL010823, 1999. a
Tomasi, C. and Petkov, B. H.: Calculations of relative optical air masses for various aerosol types and minor gases in Arctic and Antarctic atmospheres, J. Geophys. Res.-Atmos., 119, 1363–1385,
https://doi.org/10.1002/2013JD020600, 2014. a
Tomasi, C., Vitale, V., and De Santis, L. V.: Relative optical mass
functions for air, water vapour, ozone and nitrogen dioxide in atmospheric
models presenting different latitudinal and seasonal conditions, Meteorol. Atmos. Phys., 65, 11–30, https://doi.org/10.1007/BF01030266, 1998. a
Tyler, G. A.: Bandwidth considerations for tracking through turbulence,
J. Opt. Soc. Am. A, 11, 358–367,
https://doi.org/10.1364/JOSAA.11.000358, 1994. a
Vestine, E. H.: The Geographic Incidence of Aurora and Magnetic Disturbance,
Northern Hemisphere, J. Geophys. Res., 49, 77–102,
https://doi.org/10.1029/TE049i002p00077, 1944. a
Voigt, S., Orphal, J., Bogumil, K., and Burrows, J.: The temperature
dependence (203–293 K) of the absorption cross sections of O3 in the
230–850 nm region measured by Fourier-transform spectroscopy, J.
Photoch. Photobio. A, 143, 1–9,
https://doi.org/10.1016/S1010-6030(01)00480-4, 2001. a
Volz, F. E.: Depth and Shape of the 0.94-µm Water Vapor Absorption Band for Clear and Cloudy Skies, Appl. Optics, 8, 2261–2264,
https://doi.org/10.1364/AO.8.002261, 1969. a
Wagner, T., von Friedeburg, C., Wenig, M., Otten, C., and Platt, U.:
UV-visible observations of atmospheric O4 absorptions using direct moonlight
and zenith-scattered sunlight for clear-sky and cloudy sky conditions,
J. Geophys. Res., 107, 4424, https://doi.org/10.1029/2001JD001026, 2002. a
Wang, T., Fetzer, E. J., Wong, S., Kahn, B. H., and Yue, Q.: Validation of
MODIS cloud mask and multilayer flag using CloudSat-CALIPSO cloud profiles
and a cross-reference of their cloud classifications, J. Geophys.
Res., 121, 11620–11635, https://doi.org/10.1002/2016JD025239, 2016. a
Wenger, M., Ochsenbein, F., Egret, D., Dubois, P., Bonnarel, F., Borde, S.,
Genova, F., Jasniewicz, G., Laloë, S., Lesteven, S., and Monier, R.:
The SIMBAD astronomical database, Astron. Astrophys. Sup., 143, 9–22, https://doi.org/10.1051/aas:2000332, 2000. a
Witze, A.: Earth's magnetic field is acting up and geologists don't know why, Nature, 565, 143–144, https://doi.org/10.1038/d41586-019-00007-1, 2019.
a
WMO: WMO/GAW Experts Workshop on a Global Surface-Based Network for Long Term Observations of Column Aerosol Optical Properties, Tech. rep., World
Meteorological Organization, Geneva, available at: https://library.wmo.int/index.php?lvl=notice_display&id=11094 (last access: 21 September 2021),
2005. a
WMO: WMO/GAW Aerosol Measurement Procedures, Guidelines and Recommendations, Tech. Rep. WMO No. 1177; GAW Report No. 227, World Meteorological Organization, available at: https://library.wmo.int/doc_num.php?explnum_id=3073 (last access: 21 September 2021), 2016. a
Xia, X. and Wang, M.: Commentary on “New method for inferring total ozone and aerosol optical thickness from multispectral extinction measurements using eigenvalue analysis” by G. Taha and G. P. Box, Geophys. Res. Lett.,
28, 1997–1998, https://doi.org/10.1029/2000GL012561, 2001. a
Young, A. T.: Observational Technique and Data Reduction, chap. 3, in: Methods in Experimental Physics, Elsevier, vol. 12, 123–192,
https://doi.org/10.1016/S0076-695X(08)60495-0, 1974. a, b, c, d
Young, A. T.: High-Precision Photometry, in: Automated Telescopes for
Photometry and Imaging, vol. 28, p. 73, ASP Conference Series,
available at: https://ui.adsabs.harvard.edu/abs/1992ASPC...28...73Y (last access: 21 September 2021), 1992. a
Young, A. T.: Air mass and refraction, Appl. Optics, 33, 1108–1110,
https://doi.org/10.1364/AO.33.001108, 1994. a
Young, A. T. and Irvine, W. M.: Multicolor photoelectric photometry of the
brighter planets. I. Program and Procedure, Astron. J., 72, 945,
https://doi.org/10.1086/110366, 1967. a
Zhao, G., Zhao, Y.-H., Chu, Y.-Q., Jing, Y.-P., and Deng, L.-C.: LAMOST
spectral survey – An overview, Res. Astron. Astrophys., 12, 723–734,
available at: http://www.raa-journal.org/raa/index.php/raa/article/view/1171 (last access: 21 September 2021),
2012. a
Zhao, G., Zhao, C., Kuang, Y., Bian, Y., Tao, J., Shen, C., and Yu, Y.: Calculating the aerosol asymmetry factor based on measurements from the humidified nephelometer system, Atmos. Chem. Phys., 18, 9049–9060, https://doi.org/10.5194/acp-18-9049-2018, 2018. a
Zimmer, P., McGraw, J., Zirzow, D., Cramer, C., Lykke, K., and Woodward IV,
J.: A Path to NIST Calibrated Stars over the Dome of the Sky, in: The
Science of Calibration, edited by: Deustua, S., Allam, S., Tucker, D., and
Smith, J., vol. 503 of Astronomical Society of the Pacific Conference
Series, p. 145, available at: http://aspbooks.org/custom/publications/paper/503-0145.html (last access: 21 September 2021),
2016. a
Short summary
Starphotometry seeks to provide accurate measures of nocturnal optical depth (OD). It is driven by a need to characterize aerosols and their radiative forcing effects during a very data-sparse period. A sub-0.01 OD error is required to adequately characterize key aerosol parameters. We found approaches for sufficiently mitigating errors to achieve the 0.01 standard. This renders starphotometry the equal of daytime techniques and opens the door to exploiting its distinct star-pointing advantages.
Starphotometry seeks to provide accurate measures of nocturnal optical depth (OD). It is driven...
