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Heute begleiten wir Julia vom Institut für Chemie und Biologie des Meeres der Uni Oldenburg bei ihrer Arbeit auf der Maria S. Merian. Im letzten Beitrag ging es schon ein bisschen um die Unterwegsdaten, die auf Schiffen gemessen werden. Julia hat noch ein weiteres Gerät mitgebracht, das auch in diese Kategorie fällt: eine FerryBox.

FerryBox im Hangar des Schiffes (Foto: Christiane Lösel)
Zusätzliche Messsensoren fürAlkalinität, Kohlenstoffdioxid und PH-Wert (Foto: Christiane Lösel)

Die FerryBox ist ein sogenanntes Durchflussgerät. Das bedeutet, dass Wasser unter dem Schiff mit einer Pumpe angesaugt und durch das Gerät geleitet wird. Dann kann das Messgerät Temperatur und Salzgehalt des Wassers messen. Diese beiden Größen sind wichtig, da sie die Dichte des Wassers bestimmen und damit Aufschluss über Strömungen geben. Außerdem misst das Gerät auch bio-optische Werte, nämlich Chlorophyll A und CDOM (Colored Dissolved Organic Matter = farbige gelöste organische Substanz auch Gelbstoff genannt). Chlorophyll gibt Aufschluss darüber, wieviel Phytoplankton sich im Wasser befindet. Phytoplankton sind kleine Algen, die die Grundlage für das gesamte Nahrungsnetz des Meeres bilden. Der große Vorteil der Ferry Box ist ihr modularer Aufbau. So können zum Beispiel auch Sensoren für totale Alkalinität (wieviel Säure das Wasser binden kann), Kohlenstoffdioxid oder PH-Wert zusätzlich angebaut werden.

Das sind also alles wichtige Größen, um Prozesse im Meer zu verstehen. Aber warum ist das Gerät genau an Bord und woher kommt der Name FerryBox?

Vielleicht fangen wir mit der Namenserklärung an. Die FerryBox ist dafür gedacht auf Fähren (englisch: ferry) mitzufahren. Fähren bieten sich gut dafür an Messgeräte mitzunehmen, da sie regelmäßig die gleiche Strecke fahren. Die Ferry Box ist ein kastenförmiges Gerät, dass autonom messen kann und nur von Zeit zu Zeit von einem Wissenschaftler oder einer Wissenschaftlerin gewartet werden muss.

Das große Ziel dieses ersten Teils der Forschungsfahrt ist es, die Übertragung der Daten von Messgeräten an Land zu optimieren. Die FerryBox kann beispielhaft dafür betrachtet werden. Julia hat sie an Bord gebracht und kümmert sich jetzt zusammen mit Norbert vom Alfred-Wegener-Institut darum, dass die Daten annähernd in Echtzeit an Land übertragen werden. Wenn sie im zweiten Teil der Forschungsreise wieder an Land in ihrem Büro ist, kann sie die Daten an ihrem Computer abrufen. Sollte dann ein Fehler auftreten, kann sie direkt auf dem Schiff Bescheid sagen, damit das Problem direkt behoben werden kann. Zusätzlich dazu kalibriert Julia die FerryBox auch noch. Dafür lässt sie Wasserproben im Labor durch einen Filter laufen und lagert sie danach in einem Kühlschrank, der eine Temperatur von -80°C hat. So bleiben die Proben haltbar, bis sie im Anschluss in Deutschland in einem Labor ausgewertet werden.

Filter, durch die die Probe filtriert wird (Foto: Christiane Lösel)
Blick in das Labor in dem Julia arbeitet (Foto: Christiane Lösel)
Probe im -80°C kaltem Kühlschrank (Foto: Christiane Lösel)

Am Ende soll die entwickelte Software als Blaupause für anderen Geräte nutzbar sein. Die annähernden Echtzeitdaten sind dann auch öffentlich sichtbar und können von jedem genutzt werden.

The FerryBox

Today we accompany Julia from the Institute of Marine Chemistry and Biology of the University of Oldenburg in her work on the Maria S. Merian. The last post was a bit about the underway data, which are measured on ships. Julia brought with her another device that also falls into this category: a FerryBox.

FerryBox (Photo: Christiane Lösel)
Additional instruments measuring alkalinity, carbon dioxid and
ph-value (Photo: Christiane Lösel)

The FerryBox is a so-called flow device. This means that water under the ship is sucked in with a pump and passed through the device. The instrument can then measure the temperature and salinity of the water. These two quantities are important because they determine the density of the water and thus provide information about currents. In addition, the device also measures bio-optical values, namely chlorophyll A and CDOM (Colored Dissolved Organic Matter). Chlorophyll provides information about how much phytoplankton is present in the water. Phytoplankton are small algae that form the basis of the entire marine food web. The great advantage of the Ferry Box is its modular structure. For example, sensors for total alkalinity (how much acid the water can bind), carbon dioxide or PH value can also be added.

So these are all important variables for understanding processes in the ocean. But why is the device on board and where does the name FerryBox come from?

Maybe we’ll start with the declaration of names. The FerryBox is meant to be used on ferries. Ferries are good for carrying measuring instruments, as they regularly travel the same distance. The FerryBox is a box-shaped device that can measure autonomously and only needs to be maintained by a scientist from time to time.

The main objective of this first part of the research trip is to optimise the transmission of data from measuring instruments to land. The FerryBox can be seen as an example of this. Julia brought them aboard and, together with Norbert from the Alfred Wegener Institute, is now making sure that the data is transmitted to shore in near real time. When she is back ashore in her office during the second part of the research trip, she can retrieve the data from her computer. If an error should occur, she can notify the ship directly so that the problem can be rectified immediately. Julia also calibrates the FerryBox. To do this, she passes water samples through a filter in the lab and then stores them in a refrigerator with a temperature of -80°C. This means that the samples remain stable until they are subsequently evaluated in a laboratory in Germany.

Filters for filtration of the probes (Photo: Christiane Lösel)
Sneak peak into the lab Julia is working in (Photo: Christiane Lösel)
Probe in -80°C cold refrigerator (Foto: Christiane Lösel)

In the end, the developed software should be usable as a blueprint for other devices. The near real-time data is then also publicly visible and can be used by anyone.

Die FerryBox

Ocean Acidification

What can PIES tell us about the current system?

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By Tina Hans (GEOMAR)

One main objective of the cruise is to investigate the large-scale ocean currents in the tropical Atlantic. For that purpose, we are maintaining several long-term observatories at the seafloor and in the water column. Additional to the moorings which have been described in the previous blog “Keeping the record alive”, we deployed and recovered close to the Brazilian coast so-called PIES. They have – as some might say unfortunately – nothing to do with pastries but are oceanographic instruments that measure the pressure at the seafloor as well as the time an acoustic signal takes to travel from the instrument to surface, where the signal is reflected, and back. We deployed six of those instruments across the continental shelf off Brazil at depth ranging from 150 metres to 3000 metres. These deployments are the result of a collaboration with the University of Bremen. We also successfully recovered one PIES that spent just over three years at the seafloor at a depth of 500 metres. With the data of the recovered PIES, we could extend our time series of seafloor pressure measurements at 500 metres depth. This time series, which goes back until 2013, spans now 13 years.

Pictures of a PIES deployment (left), a recovered PIES (upper right), and a PIES ready for deployment (lower right). Photos taken by Leonie Jaeger, Mario Müller, and Naomi Krauzig.

This still leaves the question of what the pressure at the seafloor can tell us about ocean currents. To answer this, one needs to know that the ocean dynamics are largely governed by a balance of two physical forces: the pressure gradient force and the Coriolis force. Essentially, when water ‘piles up’ somewhere, a current is created which attempts to even out the differences, and the direction of this current is deflected due to the Earth’s rotation. This force balance can also be used to directly relate the difference in pressure between two locations to the mean velocity in between these locations. We make use of this relation by measuring the seafloor pressure not just off Brazil but also off Angola at a similar latitude. With the combination of these measurements, we can calculate the mean north-/southward velocities across the Atlantic between Brazil and Angola. From this velocity we can then derive the strength of the Atlantic Meridional Overturning Circulation (AMOC).

However, there is one caveat: the pressure sensors are drifting over time. This makes it impossible to make statements about long-term trends, but we can still make statements about the seasonal to interannual variability of the AMOC. Therefore, the measurements of the PIES can be used to better understand the large-scale currents in the tropical Atlantic. In a next step, we are now using these measurements to better understand the linkage of the AMOC to climate variability in the tropics.

Time series of seafloor pressure at 500 metres depth at the continental shelf off Brazil. The different colours indicate the different instruments which have been deployed since 2013. The measurements of the PIES that was recovered during this cruise is coloured in green. The black line shows monthly mean values. Pressure changes can be induced by changes in the water level (a change of 0.05 decibar roughly corresponds to 5 centimetres) or by changes in the temperature and salinity characteristics of the water column above the instrument. When looking at the time series, distinct seasonal and interannual variability is apparent. No long-term variability is visible as this is removed with removing the instrumental drift.

What can PIES tell us about the current system?

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Ocean Acidification

Cloud: The Pearl on the Crown

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By Qi-Fan Wu (Niels Bohr Institutet, University of Copenhagen)

During our journey, we saw many beautiful cloud patterns while looking outside the METEOR!  Even though people do not always pay attention to them, clouds are among the most visible elements of the sky and naturally form part of our everyday background. And when we sailed away from the coastal region of Recife to the open ocean, the sky seemed to open up, allowing clouds to reveal their full variety and structure.

In climate modelling, clouds are one of the biggest sources of uncertainty. There is a famous saying in mathematics: “Mathematics is the queen of the sciences, number theory is the crown of mathematics, and the Goldbach Conjecture is the pearl on the crown.” The same idea can be applied to the study of clouds in Earth science. There is still no general macroscopic theory of clouds. Cloud physics is an absolutely fascinating topic, as it combines turbulence, stochastic processes, chemicals in the air, multiscale interactions within the Earth–atmosphere system, and a close connection to our daily weather.

In this blog entry, we would like to share some lovely photos of cloud patterns that we took on METEOR. Instead of serious systematic investigations, we focus on the basic cloud physics behind some typical cloud phenomena shown in these photos. These examples might provide something interesting to think about during our leisure time, even after returning to land. If nature is an artist, clouds are among its finest masterpieces, shaped by physical laws and stochastic processes.

What are clouds, and what is inside them? Clouds are made of many liquid water droplets and ice crystals inside the boundaries of the cloud. They are mostly air, with the many particles dispersed widely and more or less randomly throughout the cloud interiors [a]. The individual particles that make up a cloud are very, very small and not generally visible to the human eye.

When we look up from our research vessel METEOR and observe clouds, we first see their macroscopic structure: their overall shape, height, thickness, and organization across the sky. Broad, layered clouds often form through slow, large-scale ascent, while towering clouds with visible turrets reflect rapid rising motion in smaller air parcels. These visible forms are continuously shaped by moisture supply, cooling, turbulence, mixing with drier air, and precipitation, linking the large-scale atmospheric flow to the clouds we observe [a,b].

After leaving Recife, we entered a region typically influenced by the southeast trade winds of the tropical South Atlantic, where a vertically layered atmosphere, warm ocean conditions, and wind-driven mixing often promote a turbulent marine boundary layer. In Figure 1, the sky shows a layered cloudscape ranging from thin, high cirrostratus and altocumulus clouds to low cumulus and towering cumulonimbus clouds. These different forms reflect how the atmosphere organizes moisture, cooling, and vertical motion: broad layers are associated with gradual ascent, while the rising turrets of cumulus and cumulonimbus reveal stronger localized updrafts. Together, they illustrate the visible macroscopic structure of clouds, shaped by atmospheric motion and the microphysical processes occurring within them.

Figure 1: Photograph showing different cloud types observed near 04°06.5’S, 23°18.5’W, together with a schematic summary of the major cloud types. Adapted from a photograph by Federico Scarscelli and [a].

It should be noted that, in general, atmospheric temperature in the troposphere decreases with increasing altitude. Over the subtropical oceans, however, this is not the case. A relatively thin temperature-inversion layer lies above the subtropical marine boundary layer, within which temperature increases with height and the atmosphere is highly stable (Figure 2). Cloud occurrence above the marine boundary layer is relatively low in this region. The base of the trade-wind inversion is typically located at an altitude of approximately 1–2 km, separating the moist lower layer from the dry free troposphere [c].

Figure 2: Schematic illustration of the key physical processes in the marine boundary layer. Adapted from [c].

This large-scale thermodynamic structure provides the environmental conditions under which clouds form and evolve. At the microscopic scale, however, clouds consist of particles: liquid water droplets, ice crystals, or a mixture of both. Clouds composed entirely of liquid droplets are commonly referred to as “warm clouds”, whereas clouds containing ice particles are classified as “cold clouds”. When liquid droplets and ice crystals coexist, the cloud is described as a mixed-phase cloud. However, the distinction between “warm” and “cold” clouds hinge on the phase of the particles, not on the temperature. The warm/cold distinction depends on the microphysical phase of the particles inside the cloud, which a normal naked eye observation cannot resolve.

Warm clouds consist of liquid water droplets spanning a range of sizes, from small haze droplets and cloud condensation nuclei to cloud droplets, drizzle drops, and raindrops (Figure 3). Cloud droplets typically form when water vapour condenses onto cloud condensation nuclei. Rainfall develops when some droplets grow much larger: larger droplets fall faster, collide with smaller droplets, and collect them. As a result, many small cloud droplets can combine to form fewer, larger drizzle drops and eventually raindrops [a]. This process approximately conserves the total liquid-water mass within the cloud, while transferring water from numerous small droplets to a much smaller number of large drops that are heavy enough to fall as rain.

Figure 3: Relative sizes of various liquid drops found in clouds. The bright spots highlighted by the green circles are circumzenithal halos produced by the refraction of sunlight through hexagonal ice crystals. Adapted from a photograph by Herbert Rafael Barbosa near 10°22.8’S 35°40.8’W and [a].

Cold clouds contain ice particles, either alone or together with supercooled liquid water droplets [a]. Unlike liquid droplets, which are nearly spherical because of surface tension, ice particles can develop a wide range of crystalline shapes, including plates, columns, needles, dendrites, and aggregates (Figure 4). Their shape depends mainly on temperature and ice supersaturation during growth by water-vapour deposition. As ice crystals become large enough to fall, they may collide and stick together to form snow aggregates, or collect supercooled droplets that freeze on contact, a process known as riming. The regular hexagonal structure of ice crystals can also produce optical phenomena such as halos, which form when sunlight is refracted or reflected by suitably oriented ice crystals in high-level clouds as shown in Figure 3. In mixed-phase clouds, uplift supports the growth of ice crystals at the expense of supercooled droplets. Once sufficiently large, the ice precipitates and may melt into rain or drizzle while falling through the melting layer (Figure 3).

Figure 4: Conceptual illustration of cold-cloud microphysical processes. Ice crystals grow in the subfreezing part of the cloud, precipitate downward, and melt into drizzle or rain as they pass through the melting layer. Localized updrafts can recirculate hydrometeors and promote further ice production. Photographs of snow crystals and a classification of snow-crystal habits by temperature and excess water-vapour density are also shown. Adapted from a photograph by Leonie Jaeger taken near 10°22.8′ S, 35°40.8′ W, and from [a, b].

When we approached the equator, we saw many cumulus clouds with remarkably flat bases, marking the lifting condensation level where warm, moist air rising from the ocean cooled to its dew point and condensed into droplets. Similar temperature/humidity across an area leads to clouds sharing flat bases. Their uneven, towering tops reflected continued turbulence and convection above this level, revealing the active vertical mixing of the tropical atmosphere (Figure 5). As moist tropical air rises toward the cold-point tropopause, it encounters extremely low temperatures. When an air mass reaches a local temperature minimum, water vapour can freeze into very thin cirrus clouds (Figure 6).

Figure 5: Flat-bottomed, fluffy-topped cumulus clouds. Adapted from a photograph by Joelle Habib taken near 00°00.0’S, 23°06.8’W.
Figure 6: Cirrus uncinus clouds. Adapted from a photograph by Joelle Habib taken near 00°00.0’S, 23°06.8’W.

After crossing the equator, we entered the Intertropical Convergence Zone (ITCZ), a band of heavy rainfall extending across the tropical Atlantic. Cloud organization within and around the ITCZ varies markedly from day to day. Extensive low-level stratocumulus clouds can also occur in the surrounding region, acting like a blanket that reduces the amount of incoming solar radiation reaching the ocean surface (Figure 7).

Figure 7: Cloud patterns in the ITCZ. Adapted from a photograph by Naomi Krauzig taken near 10°05.5′N, 23°02.5′W.

As we continued northward on our way home, we moved closer to the continent and witnessed some spectacular roll clouds, a very rare meteorological phenomenon. This type of cloud is known as “Morning Glory,” although evening land breezes can also produce roll clouds. The roll cloud is not attached to other clouds. associated with a solitary wave, a wave that has a single crest and moves without changing speed or shape.

As we were relatively close to the shoreline of West Africa, these roll clouds may have been produced by internal gravity waves propagating along a stable marine boundary layer [d]. The collision or sudden advance of a sea breeze or cold front can disturb the stable air layer near the surface, generating an atmospheric bore (a train of internal gravity waves). Such waves consist of alternating regions of upward and downward motion. Along the crest of the wave, moist air is lifted and cools to saturation, forming clouds, while behind the crest the air descends and warms, causing the cloud to evaporate. Because this cycle of ascent and descent extends along a long line of low-level convergence, cloud is continuously generated at the leading edge and dissipated at the trailing edge, maintaining a long, coherent band (Figure 8).

Figure 8: Roll cloud observed from METEOR, shown with a satellite image from approximately the same time. Adapted from a photograph by Naomi Krauzig taken near 28°01.265′N, 17°27.985′W, and [d].

I think observing and thinking about clouds can be a nice hobby for enjoying the beauty of nature. Cloud processes are stochastic because nucleation and droplet collection do not occur at exactly the same time for every particle, even under the same environmental conditions [a]. Instead, freezing, condensation, and coalescence depend on chance microscopic events, so only some droplets become “lucky” and grow or freeze earlier than others. Perhaps cloud viewing could also give us good food for thought. After all, many cloud-related problems in climate modeling remain among the most beautiful mysteries in climate science.

Figure 9: Adapted from a photograph by Leonie Jaeger taken near 11°30.0’S, 34°13.0’W.

Enjoy ~

References:

[a] Lamb D, Verlinde J. Physics and Chemistry of Clouds. Cambridge University Press; 2011.

[b] Levizzani, V., Kidd, C. (2025). Cloud Physics. In: Precipitation. Geophysics and Environmental Physics. Springer, Cham. https://doi.org/10.1007/978-3-031-97096-2_3

[c] Shang-Ping Xie. Subtropical climate: Trade winds and low clouds. In: Coupled Atmosphere-Ocean Dynamics. Elsevier; 2024. p. 139–163. doi:10.1016/B978-0-323-95490-7.00006-0.

[d] The Morning Glory and related phenomena. https://www.meteo.physik.uni-muenchen.de/~roger/AustralianProjects/TheMorningGlory/TheMorningGlory.html

Cloud: The Pearl on the Crown

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Ocean Acidification

Keeping the Record Alive: Long-Term Ocean Observations in the Tropical Atlantic

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By Naomi Krauzig (GEOMAR)

One of the most rewarding aspects of M219 has been contributing to the maintenance of the long-term GEOMAR mooring arrays that quietly monitor the tropical Atlantic year after year.

While CTD/LADCP casts and other shipboard measurements provide invaluable snapshots of the ocean, these anchored instruments provide something that cannot be obtained otherwise: continuous observations spanning minutes, days, seasons, years, and even decades. As an observational oceanographer, it is difficult not to appreciate the value of these datasets. They form the foundation for understanding ocean variability in regions that are critical for Atlantic climate variability and allow us to detect and quantify long-term changes that would otherwise remain hidden within the ocean’s natural variability.

Our first major operations took place off the Brazilian coast at 11°S, where the K1 to K4 moorings form part of a long-term observing system monitoring the western boundary current system and the Atlantic Meridional Overturning Circulation (AMOC). Within just a few days, the four deep-sea moorings were successfully recovered, assessed, serviced, and redeployed.

Every recovery felt a bit like opening a treasure chest. After spending a year or more beneath the ocean surface, these instruments returned carrying an invaluable record of currents, temperature, salinity, oxygen, and other key ocean properties. It was incredibly rewarding to see how well they had performed. Nearly all instruments operated successfully throughout the entire deployment period, delivering high-quality datasets with remarkably few gaps.

From Brazil, we continued north to the equator at 23°W, home to another key long-term mooring at exactly 0°N. Since 2006, this mooring has been monitoring the Equatorial Undercurrent and the deep equatorial circulation from the surface to nearly 4,000 m depth. Its successful recovery and redeployment mean that this unique 20-year time series will continue, helping us better understand how the tropical Atlantic influences climate, oxygen and nutrient transport, and marine ecosystems across the basin.

Our final mooring destination brought us to the Cape Verde Ocean Observatory (CVOO), one of the flagship long-term ocean observatories in the eastern tropical Atlantic. Here, physical, biogeochemical, and ecological observations come together to track how the ocean stores heat and carbon and how marine ecosystems respond to environmental change. Like the moorings at 11°S and the equator, the value of CVOO lies not in a single measurement, but in the continuity of the multi-decadal record.

For me, one of the most memorable aspects was seeing how many people contributed to the success of the mooring operations. Careful planning laid the foundation, while having a dedicated person keeping track of every step ensured that everything ran smoothly (kudos to Anna Christina Hans, aka Tina!). On deck, crew, technicians, and scientists worked together like a well-oiled machine, stepping in where needed and solving problems on the fly.

The teamwork extended all the way back home to GEOMAR. Thanks to Rebecca Hummels’ mooring toolbox, data from several instruments could already be processed and checked while parts of the moorings were still in the water, providing an early look at the quality of the observations. On top of that, mooring experts were available around the clock to provide information, advice, and troubleshooting whenever needed. I believe the high success rate of the recoveries and redeployments is a testament to the experience, teamwork, and dedication of everyone involved.

Redeployment of the K4 mooring showing the positive atmosphere and team spirit, despite long working hours and the demanding nature of the operations. Photo: Naomi Krauzig.

With the major milestone of the successful mooring work behind us, another exciting operation was still ahead. Waiting in Mindelo was a brand-new surface buoy, ready to begin its own contribution to these invaluable long-term observations. Stay tuned to learn more about that deployment in a future blog post.

Keeping the Record Alive: Long-Term Ocean Observations in the Tropical Atlantic

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