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Atmosphere
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Advances in Atmospheric Lidar Remote Sensing
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Advances in Atmospheric Lidar Remote Sensing

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (30 June 2019) | Viewed by 7333

Special Issue Editor

Prof. Dr. Richard Collins

E-Mail Website
Guest Editor
Geophysical Institute and Department of Atmospheric Sciences, University of Alaska Fairbanks, Fairbanks, Alaska, USA
Interests: lidar; remote sensing; weather and climate; dynamics; science education

Special Issue Information

Dear Colleagues,

The scope of this Special Issue is to present the recent advances in atmospheric lidar. Lidar systems are uniquely capable of profiling the composition and dynamics of the atmosphere from the ground to geospace. Progress in laser and allied technologies and methodologies are enabling new lidar systems that are yielding measurements with unprecedented reliability and accuracy. This progress is highlighted in the deployment of the ALADIN wind lidar on the Aeolus satellite, as well as new ground-based systems employing new tunable solid-state and diode-pumped lasers. These measurements afford new opportunities for advancing our understanding of the environment, weather, climate, and space weather.

Prof. Dr. Richard Collins
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lidar
  • lasers
  • remote sensing
  • aerosols
  • temperatures
  • winds

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Published Papers (2 papers)

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Research

12 pages, 2508 KiB  
Article
Sodium Resonance Wind-Temperature Lidar at PFRR: Initial Observations and Performance
by Jintai Li, Bifford P. Williams, Jennifer H. Alspach and Richard L. Collins
Atmosphere 2020, 11(1), 98; https://doi.org/10.3390/atmos11010098 - 15 Jan 2020
Cited by 6 | Viewed by 3114
Abstract
A narrowband sodium resonance wind-temperature lidar (SRWTL) has been deployed at Poker Flat Research Range, Chatanika, Alaska (PFRR, 65° N, 147° W). Based on the Weber narrowband SRWTL, the PFRR SRWTL transmitter was upgraded with a state-of-the-art solid-state tunable diode laser as the [...] Read more.
A narrowband sodium resonance wind-temperature lidar (SRWTL) has been deployed at Poker Flat Research Range, Chatanika, Alaska (PFRR, 65° N, 147° W). Based on the Weber narrowband SRWTL, the PFRR SRWTL transmitter was upgraded with a state-of-the-art solid-state tunable diode laser as the seed laser. The PFRR SRWTL currently makes simultaneous measurements in the zenith and 20° off-zenith towards the north with two transmitted beams and two telescopes. Initial results for both nighttime and daytime measurements are presented. We review the performance of the PFRR SRWTL in terms of seven previous and currently operating SRWTLs. The transmitted power from the pulsed dye amplifier (PDA) is comparable with other SRWTL systems (900 mW). However, while the efficiency of the seeding and frequency shifting is comparable to other SRWTLs the efficiency of the pumping is lower. The uncertainties of temperature and wind measurements induced by photon noise at the peak of the layer with a 5 min, 1 km resolution are estimated to be ~1 K and 2 m/s for nighttime conditions, and 10 K and 6 m/s for daytime conditions. The relative efficiency of the zenith receiver is comparable to other SRWTLs (90–97%), while the efficiency of the north off-zenith receiver needs further optimization. An upgrade of the PFRR SRWTL to a full three-beam system with zenith, northward and eastward measurements is in progress. Full article
(This article belongs to the Special Issue Advances in Atmospheric Lidar Remote Sensing)
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14 pages, 3190 KiB  
Article
MODIS Cloud Detection Evaluation Using CALIOP over Polluted Eastern China
by Saichun Tan, Xiao Zhang and Guangyu Shi
Atmosphere 2019, 10(6), 333; https://doi.org/10.3390/atmos10060333 - 19 Jun 2019
Cited by 7 | Viewed by 3517
Abstract
Haze pollution has frequently occurred in winter over Eastern China in recent years. Over Eastern China, Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection data were compared with the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) for three years (2013–2016) for three kinds of underlying [...] Read more.
Haze pollution has frequently occurred in winter over Eastern China in recent years. Over Eastern China, Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection data were compared with the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) for three years (2013–2016) for three kinds of underlying surface types (dark, bright, and water). We found that MODIS and CALIOP agree most of the time (82% on average), but discrepancies occurred at low CALIOP cloud optical thickness (COT < 0.4) and low MODIS cloud top height (CTH < 1.5 km). In spring and summer, the CALIOP cloud fraction was higher by more than 0.1 than MODIS due to MODIS’s incapability of observing clouds with a lower COT. The discrepancy increased significantly with a decrease in MODIS CTH and an increase in aerosol optical depth (AOD, about 2–4 times), and MODIS observed more clouds that were undetected by CALIOP over PM2.5 > 75 μg m−3 regions in autumn and particularly in winter, suggesting that polluted weather over Eastern China may contaminate MODIS cloud detections because MODIS will misclassify a heavy aerosol layer as cloudy under intense haze conditions. Besides aerosols, the high solar zenith angle (SZA) in winter also affects MODIS cloud detection, and the ratio of MODIS cloud pixel numbers to CALIOP cloud-free pixel numbers at a high SZA increased a great deal (about 4–21 times) relative to that at low SZA for the three surfaces. As a result of the effects of aerosol and SZA, MODIS cloud fraction was 0.08 higher than CALIOP, and MODIS CTH was more than 2 km lower than CALIOP CTH in winter. As for the cloud phases and types, the results showed that most of the discrepancies could be attributed to water clouds and low clouds (cumulus and stratocumulus), which is consistent with most of the discrepancies at low MODIS CTH. Full article
(This article belongs to the Special Issue Advances in Atmospheric Lidar Remote Sensing)
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