Just in time with our return from Punta Arenas, our ACP article on the hemispheric contrasts in ice formation in stratiform mixed-phase clouds finally got published. Apart from an updated description, the most important outcomes in terms of ice formation in stratiform clouds are:

(1) The aerosol load at Punta Arenas is rather high for heights with temperature between -10 and 0°C, at colder temperature much less aerosol load. The pristine Southern Ocean is only sampled in the free troposphere.

(2) Frequent ice formation in cloud layers with temperatures at cloud top warmer -15°C if found. This is underestimated by (ground-based) lidar-only or satellite-based studies. Agreement with lidar-only studies can be achieved when introducing a ice-water-content detection threshold in the combined lidar-radar dataset.

(3) Coupling to the boundary layer increases the frequency of ice-forming clouds.

(4) Updrafts in gravity waves frequently activate liquid droplets (down to ~-35°C). When the wave is stationary/slowly propagating, the ice formation downwind is hidden to our instruments. These clouds bias the statistics, but can be identified with Doppler lidar vertical velocity observations.

(5) Correcting for the boundary layer coupling (3) and the gravity waves (4), a small difference between the three locations remains. This is likely related to a less frequent abundance of ice-nucleating-particles in the free troposphere of the southern ocean.

The article is available at:
Radenz, M., Bühl, J., Seifert, P., Baars, H., Engelmann, R., Barja González, B., Mamouri, R.-E., Zamorano, F., and Ansmann, A.: Hemispheric contrasts in ice formation in stratiform mixed-phase clouds: disentangling the role of aerosol and dynamics with ground-based remote sensing, Atmos. Chem. Phys., 21, 17969–17994, https://doi.org/10.5194/acp-21-17969-2021, 2021.

[mr]

  On Tuesday we had a small official decommissioning ceremony with the campaign PIs and officials from UMAG. At first Dr. Patric Seifert and Dr. Boris Barja González provided an overview on the achievements of DACAPO-PESO so far. To quote Patric's conclusion:

"The DACAPO-PESO remote-sensing deployment was a big success and a great example of inter-department and inter-institutional collaboration. The campaign set highlight topics: Contrasting of cloud properties (https://doi.org/10.5194/acp-2021-360) and characterization and monitoring of the smoke plume from the Australian wildfires (https://doi.org/10.5194/acp-20-8003-2020). Another one will be the characterization of the in-situ INP by Xianda Gong et al. Also, there will be further publications cloud and aerosol properties!"

Then we moved to the container site. There, the rector of UMAG Dr. Juan Oyarzo Pérez and the vice rector for postgraduate studies Dr. Andrés Mansilla Muñoz started the very final radiosonde of the campaign together with Patric, Boris, and Raul Pérez. Afterwards the measurements were officially ended by the officials.

very_final_sonde_launch.jpg

Immediately after the event, Patric and me started packing the two LACROS containers. Within two working days, we disassembled the instruments, lowered the platform and packed everything in to boxes. Of course we also triggered a final datatransfer and backup.

lowering_hatpro.jpg

We progressed quite rapidly and Patric took the chance to visit the Cerro Mirador in-situ sampling site together with Boris and Raul. In collaboration between UMAGs LIA and the TROPOS cloud microphysics group, the in-situ observations there will continue for at least another year.

Then, on Friday, the logistics company arrived and collected the two containers for their transport to the harbor. Our request for a 'proper' crane got lost in the company's internal communication, but after some tampering the containers were successfully loaded.

crane.jpg

 In the evening we had a joint dinner with the project team at Los Ganaderos, picked up the frozen filter samples and left for the airport.

[mr, ps]

As previously mentioned (here and here), the LACROS instruments also observe profiles of the (quite variable and particularly strong) horizontal wind over Punta Arenas. Within the atmospheric boundary layer - the lowermost part of the Troposphere - the HALO Photonics Streamline Doppler lidar [manufacturer website] is well suited to observe winds. Our system is nicknamed 'Shaun' and it is shown below.

DSC_0140_crop.JPG

Due to its scanning head, it can observe profiles of either vertical velocity or horizontal wind. The latter is derived from azimuth scans at a fixed elevation, in our case 60°. An estimate of horizontal wind speed and direction is then available for every scan with a vertical resolution of 41m. During DACAPO-PESO such scans were performed every 30 minutes. To obtain a signal form the atmosphere, this type of Doppler lidar needs particles that scatter the light of the laser beam (wavelength 1.55 um). In the atmospheric boundary layer enough small aerosol particles are present to provide signal. A typical measurement is shown below (click on the image to enlarge). It shows the retrieved horizontal wind during the first half of 3rd Dec 2019. As the scans were performed every 30 minutes, there are two profiles each hour (theoretically more frequent scans can be performed, but for our cloud research we are also interested in the vertical velocity observations performed between the scans). The wind speed and direction are displayed as 'wind barbs'. To simplify interpretation not all height-levels are shown in this plot. But, can be seen that the profiles cover the horizontal wind from a few meters above the surface up to 1.6km height with the lowest wind speeds close to the surface and stronger winds aloft (especially between 07 and 09 UTC above 800m).

20191203_0000_shaun_barbs.png

 With the 3-year dataset at hand it is now possible to derive some long-term statistics of the wind field. For now, just focus on the 1-year period from November 2019 to November 2020. During that period more than 16014 profiles were observed. The average profile of horizontal wind speed is shown on the left hand side below. As expected, the values increase with height. Also the distribution is skewed to the right (mean larger than median). For each height a histogram over direction and velocity can be computed. Here, the height of 212m is shown. Northerly and north-westerly winds are the most frequent ones, with less than 5% of the observations for each direction having less than 5m/s. Winds above 10m/s exclusively occur from westerly directions.

wind_statistics_example.JPG

 The statistics shown here, are only a very first glimpse into the data. The high temporal and vertical resolution, compared to traditional radiosondes or tower observations allows to address more detailed research questions. Diurnal and annual cycles can be investigated, as well as the presence of low-level-jets and the connection of extreme winds to specific meteorological conditions.

[mr]