Лидарная система комбинационного рассеяния света для зондирования молекул водорода в атмосфере

Computer simulation of the Raman lidar equation for measurement of the hydrogen molecules at the concentration level of 1013 cm-3 and higher in atmosphere at the ranging distances up to 100 m in the synchronous photon counting mode and selection of such a lidar optimal parameters have been fulfilled. It is shown that for hydrogen molecules concentration of N(z)=1013 cm-3 measurement at the distances from 5 to 100 m the measurement time t is in the range from 3.83 s to 26.5 min, for measurement of concentration N(z) = 1015 cm-3 - from 38 ms to 15.9 s and for the concentration measurement of N(z) = 1017 cm-3 - already from 0.4 ms to 160 ms, respectively.

Two months of measurements with an autonomous thermodynamic Raman lidar in Lindenberg

<p>Between 15 July 2020 and 19 September 2021, the Atmospheric Raman Temperature and Humidity Sounder (ARTHUS) collected data at the Lindenberg Observatory of the Deutscher Wetterdienst (DWD), including temperature and water vapor mixing ratio with a high temporal and range resolution.</p> <p>During the operation period, very stable 24/7 operation was achieved, and ARTHUS demonstrated that is capable to observe the atmospheric boundary layer and lower free troposphere during both daytime and nighttime up to the turbulence scale, with high accuracy and precision, and very short latency. During nighttime, the measurement range increases even up to the tropopause and lower stratosphere.</p> <p>ARTHUS measurements resolve the strength of the inversion layer at the planetary boundary layer top, elevated lids in the free troposphere, and turbulent fluctuations in water vapor and temperature, simultaneously (Lange et al., 2019, Wulfmeyer et al., 2015). In addition to thermodynamic variables, ARTHUS provides also independent profiles of the particle backscatter coefficient and the particle extinction coefficient from the rotational Raman signals at 355 nm with much better resolution than a conventional vibrational Raman lidar.</p> <p>At the conference, highlights of the measurements will be presented. Furthermore, the statistics of more than 150 comparisons with local radiosondes will be presented which confirm the high accuracy of the temperature and moisture measurements of ARTHUS.</p> <p><strong><em>Acknowledgements</em></strong></p> <p>The development of ARTHUS was supported by the Helmholtz Association of German Research Centers within the project Modular Observation Solutions for Earth Systems (MOSES). The measurements in Lindenberg were funded by DWD.</p> <p><strong><em>References </em></strong></p> <p>Lange, D., Behrendt, A., and Wulfmeyer, V. (2019). Compact operational tropospheric water vapor and temperature Raman lidar with turbulence resolution. <em>Geophysical Research Letters</em>, 46. https://doi.org/10.1029/2019GL085774</p> <p>Wulfmeyer, V., R. M. Hardesty, D. D. Turner, A. Behrendt, M. P. Cadeddu, P. Di Girolamo, P. Schlüssel, J. Van Baelen, and F. Zus (2015), A review of the remote sensing of lower tropospheric thermodynamic profiles and its indispensable role for the understanding and the simulation of water and energy cycles, <em>Rev. Geophys.</em>, 53,819–895, doi:10.1002/2014RG000476</p>

Wasserdampfprofile in der zentralen Arktis bei verschiedenen AO-Indizes

<p align="justify"><span lang="de-DE">Wasserdampf trägt als Treibhausgas zum Strahlungsbudget der Atmosphäre bei und ist im atmosphärischen Energietransport, bei Wolkenprozessen und der Niederschlagsbildung von Bedeutung. Die Kenntnis der vertikalen Wasserdampfprofile in der Arktis ist ein wichtiger Beitrag zum Verständnis des arktischen Klimasystems und seines Wandels. <br /></span><span lang="de-DE">Im Rahmen der MOSAiC-Kampagne wurden vom Oktober 2019 bis Oktober 2020 über ein Jahr verschiedenste klimarelevante Parameter gemessen. Mit dem Raman-Lidar PollyXT konnten erstmals nördlich von 85°N vertikal hochaufgelöste Profile des atmosphärischen Wasserdampfes aufgenommen werden. Die Dunkelheit der Polarnacht und niedrige Sonnenstände ermöglichten kontinuierliche Messungen des Wasserdampfes von Oktober 2019 bis März 2020. Die Kalibrierung der Raman-Lidar-Daten erfolgt mit Radiosondenprofilen oder dem integrierten Wasserdampf eines Mikrowellenradiometers.<br /></span><span lang="de-DE">Die gemessenen Absolutwerte des Wasserdampfmischungsverhältnisses in der Arktis sind sehr gering, die vertikale Verteilung ist jedoch hoch variabel und die relative Feuchte erreicht aufgrund der tiefen Temperaturen bodennah häufig Werte nahe 100%. </span><span lang="de-DE">Die vertikale Struktur des Wasserdampfes und der verschiedenen in unterschiedlichen Höhen gemessenen Feuchteschichten lässt auf unterschiedliche Quellen des Wasserdampfes schließen. Zum einen gibt es lokale Quellen wie Verdunstung und Kondensation, die vor allem bodennah auftreten und zum anderen wird im Bereich der freien Troposphäre Wasserdampf aus entfernteren Regionen herantransportiert. Die Stärke des Transports wird dabei hauptsächlich von der allgemeinen Zirkulation in der Atmosphäre bestimmt, welche in der Arktis durch die Arktische Oszillation (AO) beschrieben werden kann. Mit Hilfe des AO Indexes lassen sich positive Phasen (AO>0) mit einem starken Polar Vortex und wenig meridionalem Transport und negative Phasen (AO<0) mit einem stark mäandrierenden Jetstream und viel meridionalem Transport unterscheiden. Der Winter 2019/20 kann so in eine vorwiegend negative und eine stark positive Phase unterteilt werden. Erste Fallbeispiele zeigen </span><span lang="de-DE">deutliche </span><span lang="de-DE">Unterschiede in der Vertikalstruktur und der Gesamtmenge des Wasserdampfes für die beiden Phasen. Während der negativen Phase der arktischen Oszillation werden mehrere zeitlich sehr variable Wasserdampfschichten beobachtet. Bei positivem AO Index ist dagegen nur eine homogene Schicht erkennbar und die Werte des Wasserdampfmischungsverhältnisses sind </span><span lang="de-DE">deutlich </span><span lang="de-DE">geringer. Zudem lassen sich in beiden Phasen Zusammenhänge zwischen Wasserdampf- und Temperaturprofilen erkennen. In der Höhe von Feuchteinversionen treten zum Beispiel häufig auch Temperaturinversionen auf. </span><span lang="de-DE">Mit der Untersuchung weiterer Fallbeispiele</span><span lang="de-DE"><em> </em></span><span lang="de-DE">soll die vertikale Struktur des Wasserdampfes in der Atmosphäre, deren zeitliche Veränderung und der Zusammenhang zur Arktischen Oszillation weiter analysiert werden.</span></p>

Calibration of water vapor Raman lidar measurements by use of radiosonde and microwave radiometer measurements

<p>Water vapor profiles with high vertical and temporal resolution were determined by use of the Raman lidar PollyXT within the MOSAiC campaign in the Arctic during the winter time 2019 – 2020. These measurements need a calibration. Usually, radiosonde data are utilized to calibrate the lidar data by the profile or the linear fit method, respectively. The radiosonde is drifting with the wind; thus, it is often measuring different atmospheric volumes compared to the lidar observations.</p> <p>The period 5-7 February 2020 is used to demonstrate the results. The correlation coefficient of the linear fit between the radiosonde and the lidar data varies with the different atmospheric conditions. The calibration results from the profile method coincide with those of the linear fit method, but the selection of the appropriate calibration setup is not straightforward. The varying correlation of the calibration results is attributed to the partly too low data-variability of the water vapor mixing ratio in the respective heights.  Moreover, the drift of the radiosondes with the wind and hence measurements of atmospheric volumes with lateral distances will have decreased the correlation between the lidar and the radiosonde measurements.</p> <p>During MOSAiC a microwave radiometer was collocated close to the lidar. This system was measuring the same atmospheric vertical column. Its product, the integrated water vapor, might be useful for the calibration of the lidar.</p> <p>Hence, the contribution will analyze the error of the lidar retrieved water vapor mixing ratio that includes the calibration with the radiosonde data and the microwave radiometer product.</p> <p> </p>

Record-breaking stratospheric smoke and record-breaking ozone depletion events in the Arctic and in Antarctica in 2020! Any link between smoke occurrence and ozone depletion?

<p>The highlight of our multiwavelength polarization Raman lidar measurements during the 1-year MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) expedition in the Arctic Ocean ice from October 2019 to May 2020 was the detection of a persistent, 10 km deep aerosol layer in the upper troposphere and lower stratosphere (UTLS) with clear and unambiguous wild-fire smoke signatures. The smoke is supposed to originate from extraordinarily intense and long-lasting wildfires in central and eastern Siberia in July and August 2019 and may have reached the tropopause layer by the self-lifting process.</p><p>Temporally almost parallelly, record-breaking wildfires accompanied by unprecedentedly strong pyroconvection were raging in the south-eastern part of Australia in late December 2019 and early January 2020. These fires injected huge amounts of biomass-burning smoke into the stratosphere where the smoke particles became distributed over the entire southern hemispheric in the UTLS regime from 10-30 km to even 35 km height. The stratospheric smoke layer was monitored with our Raman lidar in Punta Arenas (53.2°S, 70.9°W, Chile, southern South America) for two years.</p><p>The fact that these two events in both hemispheres coincided with record-breaking ozone hole events in both hemispheres in the respective spring seasons motivated us to discuss a potential impact of the smoke particles on the strong ozone depletion. The discussion is based on the overlapping height ranges of the smoke particles, polar stratospheric clouds, and the ozone hole regions. It is well known that strong ozone reduction is linked to the development of a strong and long-lasting polar vortex, which favours increased PSC formation. In these clouds, active chlorine components are produced via heterogeneous chemical processes on the surface of the PSC particles. Finally, the chlorine species destroy ozone molecules in the spring season. However, there are two pathways to influence ozone depletion by aerosol pollution. The particles can influence the evolution of PSCs and specifically their microphysical properties (number concentration and size distribution), and on the other hand, the particles can be directly involved in heterogeneous chemical processes by increasing the particle surface area available to convert nonreactive chlorine components into reactive forms. A third (indirect) impact of smoke, when well distributed over large parts of the Northern or Southern hemispheres, is via the influence on large-scale atmospheric dynamics.</p><p>We will show our long-term smoke lidar observations in the central Arctic and in Punta Arenas as well as ozone profile measurements during the ozone-depletion seasons. Based on these aerosol and ozone profile data we will discuss the potential interaction between smoke and ozone.</p>

Schließungsstudien von Aerosol/Wolkenwechselwirkungen anhand von Lidar- und Radarbeobachtungen während MOASiC

<p>Während MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) wurden verschiedene Aerosol- und Wolkentypen mit einem Mehrwellenlängen-Polarisations-Raman-Lidar (Polly-XT) der OCEANET-Atmosphere-Plattform und mit dem KAZR-Wolkenradar der ARM (Atmospheric Radiation Measurement user facility) an Bord des Eisbrechers POLARSTERN beobachtet. Im Winterhalbjahr (2019/20) wurden dafür in der zentralen Arktis regelmäßig Aerosole in Oberflächennähe bis in 4-6 km Höhe (arktischer Dunst) und in der oberen Troposphäre und unteren Stratosphäre (Waldbrandrauch, bis in 18 km Höhe) beobachtet. Neu entwickelte Methoden der Fernerkundung ermöglichen die Bestimmung der Konzentrationen von Wolkenkondensationskernen (CCNC), der Wolkentröpfchenanzahl (CDNC), der eiskeimbildenden Partikel (INPC) und sogar, mit Hilfe von Dopplerradarbeobachtungen, der Eiskristallzahl (ICNC). Gleichzeitig sind Profile der relativen Luftfeuchtigkeit und der Temperatur aus Raman-Lidar, Mikrowellen-Radiometer und Radiosondierungen verfügbar. Mit Hilfe dieses einzigartigen Datensatzes präsentieren wir eine Aerosol-Wolkenschlussstudie, in der wir zeigen, dass CCNC und CDNC sowie INPC und ICNC miteinander verknüpft werden können. Die Ergebnisse können verwendet werden, um zu testen, welche CCN- und INP-Parametrisierungen (aus idealisierten Labormessungen) im arktischen Regime am besten zutreffen. <br>In Anlehnung an diese Methoden werden im zukünftigen Projekt SCiAMO (Smoke Cirrus interaction in the Arctic during MOSAiC) etwa 65 beobachtete Zirren im Hinblick auf Eisnukleationsprozesse in Abhängigkeit vom Auftreten von Rauchpartikeln in der Winter- und Sommersaison analysiert und verglichen.</p>

Fluorescence lidar observations of wildfire smoke inside cirrus: A contribution to smoke-cirrus – interaction research

A remote sensing method, based on fluorescence lidar measurements, that allows to detect and to quantify the smoke content in upper troposphere and lower stratosphere (UTLS) is presented. The unique point of this approach is that, smoke and cirrus properties are observed in the same air volume simultaneously. In the article, we provide results of fluorescence and multiwavelength Mie-Raman lidar measurements performed at ATOLL observatory from Laboratoire d’Optique Atmosphérique, University of Lille, during strong smoke episodes in the summer and autumn seasons of 2020. The aerosol fluorescence was induced by 355 nm laser radiation and the fluorescence backscattering was measured in a single spectral channel, centered at 466 nm of 44 nm width. To estimate smoke properties, such as number, surface area and volume concentration, the conversion factors, which link the fluorescence backscattering and the smoke microphysical properties, are derived from the synergy of multiwavelength Mie-Raman and fluorescence lidar observations. Based on two case studies, we demonstrate that the fluorescence lidar technique provides possibility to estimate the smoke surface area concentration within freshly formed cirrus layers. This value was used in smoke INP parameterization scheme to predict ice crystal number concentrations in cirrus generation cells.

CALIPSO Aerosol-Typing Scheme Misclassified Stratospheric Fire Smoke: Case Study From the 2019 Siberian Wildfire Season

In August 2019, a 4-km thick wildfire smoke layer was observed in the lower stratosphere over Leipzig, Germany, with a ground-based multiwavelength Raman lidar. The smoke was identified by the smoke-specific spectral dependence of the extinction-to-backscatter ratio (lidar ratio) measured with the Raman lidar. The spaceborne CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) lidar CALIOP (Cloud–Aerosol Lidar with Orthogonal Polarization) detected the smoke and classified it as sulfate aerosol layer (originating from the Raikoke volcanic eruption). In this article, we discuss the reason for this misclassification. Two major sources for stratospheric air pollution were active in the summer of 2019 and complicated the CALIPSO aerosol typing effort. Besides intense forest fires at mid and high northern latitudes, the Raikoke volcano erupted in the Kuril Islands. We present two cases observed at Leipzig, one from July 2019 and one from August 2019. In July, pure volcanic sulfate aerosol layers were found in the lower stratosphere, while in August, wildfire smoke dominated in the height range up to 4–5 km above the local tropopause. In both cases, the CALIPSO aerosol typing scheme classified the layers as sulfate aerosol layers. The aerosol identification algorithm assumes non-spherical smoke particles in the stratosphere as consequence of fast lifting by pyrocumulonimbus convection. However, we hypothesize (based on presented simulations) that the smoke ascended as a results of self-lifting and reached the tropopause within 2–7 days after emission and finally entered the lower stratosphere as aged spherical smoke particles. These sphercial particles were then classified as liquid sulfate particles by the CALIPSO data analysis scheme. We also present a successful case of smoke identification by the CALIPSO retrieval method.

Optical and Microphysical Properties of Aged Biomass Burning Aerosols and Mixtures, Based on 9-Year Multiwavelength Raman Lidar Observations in Athens, Greece

Mean optical and microphysical aerosol properties of long-range transported biomass burning (BB) particles and mixtures are presented from a 9-year (2011–2019) data set of multiwavelength Raman lidar data, obtained by the EOLE lidar over the city of Athens (37.58° N, 23.47° E), Greece. We studied 34 aerosol layers characterized as: (1) smoke; (2) smoke + continental polluted, and (3) smoke + mixed dust. We found, mainly, small-sized aerosols with mean backscatter-related (355 nm/532 nm, 532 nm/1064 nm) values and Ångström exponent (AE) values in the range 1.4–1.7. The lidar ratio (LR) value at 355 nm was found to be 57 ± 10 sr, 51 ± 5 sr, and 38 ± 9 sr for the aerosol categories (1), (2), and (3), respectively; while at 532 nm, we observed LR values of 73 ± 11 sr, 59 ± 10 sr, and 62 ± 12 for the same categories. Regarding the retrieved microphysical properties, the effective radius (reff) ranged from 0.24 ± 0.11 to 0.24 ± 0.14 μm for all aerosol categories, while the volume density (vd) ranged from 8.6 ± 3.2 to 20.7 ± 14.1 μm−3cm−3 with the higher values linked to aerosol categories (1) and (2); the real part of the refractive index (mR) ranged between 1.49 and 1.53, while for the imaginary part (mI), we found values within 0.0108 i and 0.0126 i. Finally, the single scattering albedo (SSA) of the propped particles varied from 0.915 to 0.936 at all three wavelengths (355–532–1064 nm). The novelty of this study is the provision of typical values of BB aerosol properties from the UV to the near IR, which can be used in forecasting the aerosol climatic effects in the European region.