proposing the use of a global probe based network of durable marine “laboratories” to quantify...
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Hofstra University : GEOL140: Paleoclimatology VOL. 21 doi:1029/2011GEOL1406873, 2011
Proposing the use of a global probe based network of durable
marine “laboratories” to quantify the global flux of
dimethylsulfide across the sea/air interface S. LeoneA
AHofstra University Geology Department, Hempstead New York, USA
Abstract
As it stands now there are <1500 quality scientific papers written regarding the CLAW hypothesis,
many of which confirm the hypothesis. The hypothesis was conceived by four scientists: R.J. Charlson, J.
E. Lovelock, M. O. Andreae & S. G. Warren in a 1987 paper in Nature. The four last names of the
scientists make the acronym CLAW. This hypothesis provides a fascinating concept that there is a
complex interaction between marine organisms and the atmosphere that work together to oppose change in
a particular system through a series of feedback loops. Phytoplankton in the ocean produces
dymethylsulfide and dimethylsulphoniopropionate (DMS/DMSP). These substances act as cloud
condensation nuclei (CCN). When there is an input of sunlight and an output of excessive phytoplankton,
the DMS/DMSP is released into the atmosphere and facilitates the formation of clouds. The clouds
increase albedo and cool the system. There is currently no consistent and unified global network of
sensors to provide real time data regarding the production of DMS/DMSP. Most of the data collected
regarding the concentrations and production of DMS/DMSP are from the Global Surface Sea water DMS
database (http://saga.pmel.noaa.gov/dms), other databases, satellite information, and measurements made
by individual researchers. The current collection of data is fairly accurate and is fit to be used in scientific
writing. The general consensus though among climate scientists specializing in research pertaining to
CLAW is that there needs to be a better data collection protocol and it needs to be implemented in a way
that will facilitate quick and accurate data collection. For this reason I propose that there be a global
network of renewably powered, remotely controlled “DMS laboratories” present in the ocean. The probes
will utilize CalTech’s “lab on a chip” technology to gain accurate real-time data that will quantify the
seawater DMS/DMSP distribution and its global flux across the sea/air interface.
Background
Other planets in this solar system may
have cores, and low-density atmospheres, but to
the best of our knowledge, Earth is the only
planet that demonstrates such complex
interactions between the living organisms and
their inorganic surroundings. This complex
interaction creates sets of self-regulating
phenomenon that sustain the life on Earth.
Similar beliefs have been held by various
indigenous cultures around the world throughout
history. The first western scientific model to
describe this phenomenon was suggested by
James Lovelock. His theory that identifies and
attempts to quantify this global phenomenon is
known as the Gaia Hypothesis (GH).
Lovelock’s theory was inspired by his work with
NASA developing technology to detect life on
other planets. When he published his first paper
on the topic in 1979, the scientific community
attacked his views. The Gaia hypothesis is a
fairly controversial theory and its main critics
purport that it verges on being a quasi religious
belief and that it did not follow the reductionist
approach of modern science. Over the past 20
years the theory has begun to gain much wider
acceptance among the scientific community
(Spowers 2000). Too lovelock though, it made
perfect sense, especially in light of the fact that
he worked with NASA to find life on other
planets. The stark contrast drawn between the
surface of planets like Venus and Mars
compared to the surface of the earth allowed him
to realize just how incredible and unique our
planet actually is.
In a 2000 interview, Lovelock states that
other planets seemed to be in a state of
equilibrium. The atmospheres of planets like
Mars and Venus are composed entirely of
carbon dioxide. This indicates a lifeless state.
Lovelock compares earths atmosphere to the gas
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you put in your car. The rich mixture of oxygen
and hydrocarbons is akin to the fuel going into
the intake manifold of a motor vehicle. The
atmosphere on Mars though is composed of
gasses akin to the exhaust of a car. From this he
believes life on mars and Venus exhausted itself
(Spowers 2000). This lead to the conclusion that
the onset of global warming is a huge problem,
in fact, in Lovelock’s opinion everything else is
secondary to the problems of rising levels of
greenhouse gasses. He asserts that we are now
in a state of “positive feedback” and that instead
of mitigating the harm that is being done, the
system is “actually increasing so that as it
warms, the systems are wiped out and the
process speeds up.”(Spowers 2000). In essence,
treating this planet as a machine has gotten
humans into a lot of trouble. The Gaia
hypothesis helps us to see that nature can indeed
be seen as sacred and that there is still a lot we
don’t know. What we do know, though, is that
it’s important to assess the factors contributing
not only to the Gaia hypothesis but the entire
issue of climate change.
Lovelock’s theory of Gaia is quite broad.
One of the main terrestrial phenomenons that
Lovelock and many others have studied in depth
that contributes great insight into Gaia is the
“CLAW Hypothesis.” The letters that spell the
word “CLAW” are taken from the names of the
scientists that wrote a 1987 article in Nature
(Lovelock et. al. 1987). Before the CLAW
hypothesis can be fully explored, it is important
to examine the role of clouds in the atmosphere.
The way that clouds affect the warming and
cooling of the earth is hard enough to quantify.
Understanding the way that clouds affect the
warming and cooling of the earth in a warming
world is an even bigger uncertainty. One of the
main forcing on cloud properties is the existence
and concentration of a cloud condensation nuclei
(CCN). A CCN is a tiny particle present in the
atmosphere that serves as a medium for the
nucleation of a water droplet that makes up a
cloud.
The basis of the CLAW hypothesis is the
prospect that there are oceanic and atmospheric
systems that are coupled in such a way that
opposes changes in climate. In the ocean there
are several thousand species of phytoplankton.
These phytoplankton produce a substance called
dimethylsulfide (DMS). DMS, once released
into the atmosphere, oxidizes to form a sulfate
aerosol. This substance acts as a CCN. The
reflectance or albedo of clouds is responsive to
CCN density. Thus in turn the earth’s radiation
budget is sensitive to the presence of DMS due
to its impact on cloud formation. Regulation of
the climate can be achieved by the feedback that
occurs through the effects of temperature and
sunlight on the populations of phytoplankton
and the production of DMS.
Oceanic phytoplankton, if pushed to
either extreme of their tolerance levels i.e. too
hot and sunny or too cold and dim, will respond
by varying their DMS emissions. This way they
can increase or decrease the insolation hitting
the ocean surface by influencing the marine
cloud reflectivity. By doing this, phytoplankton
effectively drive the system back towards their
tolerance levels.
(Ayers et. al. 2007)
DMS in the atmosphere comes from the
ocean. When DMS is present in the ocean it is the
direct result of biological activity.
Dymethylsulfoniopropionate (DMSP) is the
precursor compound to DMS. DMSP is
synthesized by phytoplankton and the amount of
DMSP present depends on the species of
phytoplankton present. So far, direct emission of
DMS from phytoplankton has been observed in a
laboratory setting. It has not, however, been
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observed in the oceans. It is also likely that the
action of grazing zooplankton and viruses have an
affect on the phytoplankton community that yields
substantial levels of DMSP in the water. It is
typical that the higher levels of DMSP and DMS
usually correlate with the onset of a plankton
bloom.
In light of the fact that there has been no
direct observation of DMS/DMSP production in
phytoplankton in the oceans, it is important to
implement a system that will allow real time
quantification of the levels of DMS/DMSP, the
presence of viruses, the grazing zooplankton, the
temperature and sunlight concentration in a
particular location. A. Lana et. al. in their 2011
paper utilized state of the art climatological
records and interpolation/extrapolation techniques
to carry out their research. They identified several
significant issues with the current state of the
databases and individual measurements used for
their research. There doesn’t seem to be any
quality control in the database and a lack of
unification of the DMS measurement protocol.
This is troubling to many for it retards any
research attempts regarding oceanic DMS/DMSP
concentrations.
In addition to a lack of a unified measurement
protocol, the role of DMSP or DMS in plankton
physiology is still unclear (Ayers et. al. 2007). It
is hypothesized that the conversion of DMSP to
DMS may have something to do with relieving
oxidative stress following exposure to UV
radiation, nutrient limitation, or changes in
surface temperature. It has also been suggested
that DMSP has osmoregulative properties or is a
carrier in organic sulfur cycling. (S. M. Vallina
et. al. 2007)
The fact that the role of DMSP and DMS in
plankton is unclear makes it difficult to
understand how the emission of DMSP or DMS
from plankton would change as the surface water
environment changed in response to climate
change. It would be important to know if
changing certain oceanic conditions would alter
the plankton community in such a way that would
promote species of plankton that were higher
emitters of DMSP or DMS. In addition it would
be of note to determine the extent to which
increasing acidity would have on phytoplankton
communities and their emission of DMSP, for
deformed plankton have been observed. (Norris
2003)
Once the DMSP is in the water, there are
several processes that convert the substance into
DMS. The complexity of the process is what is
important to note for the purposes of this paper.
The early work in understanding the processes
was based in physics and utilized different
variables pertaining to wind speed, solubility of
DMS and other factors. Fully understanding the
complexities of the sea-air interface, knowing
what we already know poses a significant
challenge. A major difficulty in obtaining DMS
measurements from the water is the wind speed
associated with oceans experiencing large blooms.
The safety of scientists and observation platforms
is a main concern and so until Ayers et. al. in
1995 determined certain micrometeorological
techniques to gain a better understanding of this
flux. Still, the techniques are only predictions
based on proxies of eddy accumulation and eddy
covariance.
Motivation: The anthropogenic influence on the atmosphere
is predicted to lead to significant changes global
climatic conditions. Roughly half of the current carbon
dioxide emissions are being absorbed by the ocean and
by land ecosystems. This absorption is sensitive to
climate as well as to atmospheric carbon dioxide
concentrations. This creates a feedback loop. (Cox et.
al. 2000) The CLAW hypothesis though, has a
counterpart: the Anti-CLAW hypothesis. Lovelock
contends that the constituents of the CLAW hypothesis
will reverse from their current state of negative feedback
and wind up acting as a positive feedback loop
(Lovelock 2007). Considering the evidence of increased
atmospheric carbon presented by Cox et.al. and the fact
that as of now, there is a predicted increase in global
temperature, it is likely that world oceans may
stratify. (Lovelock 2007)
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This would reduce the supply of nutrients that up
well from the deep. These nutrients are key for the
proper functioning of phytoplankton in its euphotic
zone. In a CLAW hypothesis reversal, this would
lead to a decline in phytoplankton activity and thus
less DMS production. If there is less DMS present
in the atmosphere there will be less cloud
formation and so less albedo. The problem with
this is that the lack of cloud cover will potentially
lead to further climate warming. This in turn, will
continue to reduce the global production of DMS.
Having a global network of biosensors can
help keep scientists savvy to the changes occurring
in real time. The radiation balance has a
fundamental effect on Earth's climate. About one
third of the solar radiation that reaches the Earth is
reflected back into space by clouds and from earth
surfaces, such as ice and snow. The atmosphere
absorbs some solar energy, but most of the other
two thirds is absorbed by the land and oceans,
which are warmed by the sunlight (Norris 2003).
The sun's energy is converted into heat, and the
land and oceans then radiate a portion of this
energy back as outgoing long-wave (infrared)
radiation, also known as terrestrial radiation.
Albedo is an important factor in the radiation
balance, and clouds have the major effect on
albedo. The optical properties of a cloud are a key
issue to understanding and therefore predicting
global climate change. A cloud's optical properties
are related to the size distribution and number of its
droplets. The more cloud condensation nuclei, the
smaller the size of its water droplets and the higher
the density of water droplets since the same
amount of water vapor is distributed among a
greater number of CCN. This affects the radiative
properties (reflectance, transmittance and
absorbance) of the cloud. Because of the vast
amount of atmosphere between the sea and space,
there is a lot of room for cloud activity. When the
clouds are low and thick, they act as shields,
blocking and reflecting insolation into space. This
in turn cools the planet. When clouds are high up,
they can also trap the outgoing heat, which is in the
form of longwave radiation. This warms the
planet. On the whole, data suggests that clouds
have a general net cooling effect on the planet
(Norris 2003).
Climate scientists have realized that
current models had a poor ability to accurately
reproduce the effect of clouds. For this reason,
scientists have made it a priority to measure and
understand more about clouds physical properties
and radiative fluxes. Programs like CERES, and
the IRI/LDEO Climate Data Library are observing
clouds from space in order to more accurately
quantify cloud properties and their respective effect
on albedo. If a more accurate model of cloud
physics can be expressed, scientists will be able to
construct more accurate simulations of climate
budget and projections of change. Based on what
we have learned over the years in regard to the
CLAW hypothesis, it is likely that DMS has an
influence on the global heat budget and the
hydrological cycle due to its impact on cloud
formation. In order to understand how any CLAW
related feedback mechanism (positive or negative)
between the plankton population and the
atmosphere might operate, it is vital that the
biological role of DMS/DMSP within the cells of
plankton is clarified. The reason for this is because
the biological role of DMS/DMSP in plankton is
inextricably tied to how the feedback between
biology and atmosphere may respond to
environmental changes. It seems that an
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understanding of this feedback process in the
CLAW hypothesis remains elusive (Ayers et. al.
2007). Being able to accurately quantify the
amount of DMS being produced in real time all
across the globe will be a vital contribution to the
climate science community.
Currently, some of the most recent
research in the field has come from data contained
in the Global Surface Sea water DMS Database.
Simo et. Al. states that there is no quality control in
the database. This was worth stressing because
there doesn’t seem to be unification of the DMS
measurement protocol, and very few
intercalibration exercises have been conducted in
the last 30 years. Furthermore, a number of
sampling and analytical issues have been reported
in recent years. For this reason it is important to
have a definitive, reliable, and long lasting network
of instruments that provide real time analysis of the
DMS/DMSP sea and air measurements. This will
help to assess health of the planet based on the
progression of cloud formation and earths radiation
balance. In addition it will continue to support
James Lovelock’s Gaia hypothesis.
Proposal for new research
Using modified “lab on a chip” technology
developed by CalTech (Liu et. al. 2009) to
effectively create a network of interconnected,
centrally linked “microlabs” to measure levels of
DMS and DMSP in phytoplankton on a global
scale. The labs will be encapsulated in a specific
vessel designed for durability and ease of
maintenance and potential retrofitting. The vessel
will also be equipped with a propulsion system,
which draws energy from solar power, tidal
currents, or both. The unit will not only be able to
run real time collection and transmission of DMS
and DMSP data, it will be able to determine the
effects of CO2 concentrations, sunlight, grazing
zooplankton, temperature and viral lysis on the
production, dissemination and oxidation of DMS
and DMSP.
In order to accomplish this, the unit will be
equipped with several sensors, including but not
limited too, a PH sensor, a thermometer, a
photometer, a salt refractometer, a current speed
sensor, and a heavy metal sensor. The unit will
also be able to rise to the surface and extend a
probe into the atmosphere in order to collect data
regarding the concentrations of DMS/DMSP in the
air directly above a particular system.
There will be an onboard computer with
power efficient processors capable of dynamically
adjusting their frequencies to reduce energy
consumption. These chips will likely be akin to the
A5 processing chips at the heart of Apple’s iPad’s
and iPhones. Because accurate location
quantification will be necessary, the units will be
equipped with onboard GPS chips in order to
convey precise global coordinates at any time.
The super computer used for this research
will be a Cray XT system. Similar systems have
been installed at several operational meteorological
and hydrological services and leading climate
research centers worldwide. Examples include but
are not limited too, NOAA, NCAR, Korea
Meteorological Administration (KMA), Brazilian
National Institute for Space Research (INPE) and
Center for Weather Forecasts and Climate Studies
(CPTEC), Danish Meteorological Institute (DMI),
and the U.S. Naval Oceanographic Office
(NAVO). (Nyberg 2010)
In order for the unit to be able to
communicate with the central data collection server
it will utilize very low frequency (VLF)
transmission to land based towers, which will then
be able to route the data to a server linked to a
super computer to analyze the collected data. The
reason VLF transmissions were chosen as the
transmission medium is because they are often
used in Integrated Communication Systems (ICS)
for naval vessels and HF ground-to-air
applications. The technology will likely come from
Hagenuk Marinekommunikation (HMK). The
company has provided solutions for more than 25
navies throughout the world who now rely on the
high level of technical expertise of HMK. Over
540 systems have been delivered for all classes of
ships, including 117 submarine systems.
Moreover, HMK provides a full service package
including feasibility studies, system engineering,
hardware and software design, production, system
integration and setting to work as well as
integrated logistics combined with comprehensive
after sales services over the whole product life
cycle. Lastly, the technology that allows user
interface with the VLF system can be a single
workstation that is expandable to a networking
multi-console client/server configuration that,
according to the contractor, provides sophisticated
automated communications support for naval
applications. The solutions offered by HMK
posses the reliability of a company providing for
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the United States navy, and the customizability
necessary for such a specific application.
The communication ability of the units
will boast two way transmission capabilities for
the obvious purpose of relaying collected
information back to the server, and the less
obvious ability to receive remote course and
speed commands from a controlling computer.
This system would ideally be composed of
several hundred of these units to create a global
network. Ideally a climate scientist would be
able to identify one singular, or several units in
one of the many strategically placed locations
and have full control over the device(s). This
will allow for a level of accurate, real time
climatic data collection never before achieved.
The reason each unit has its own
propulsion system, whether it be a set of
propellers or a series of pumps and jets is so the
units can maintain one fixed position in the sea,
or move about the sea for however long a certain
experiment or research project dictates.
An example of the novel application of
this technology is the fact that so far there is no
system of interconnected, un-tethered, real time
data collecting mechanisms of this scale. There
have been global collaborations of many
different scientists and instrumental records, but
the ingenuity behind this concept is to have one
place for scientists to go to analyze the real time
data of the DMS/DMSP concentrations and a
other measurable factors in the marine climate
system. The information can easily be archived
and made public for all scientists and individuals
who may not have the means to get to the
supercomputer that all the units are linked to.
Furthermore, the main goal of this global
network is to have the ability to monitor the
health of the planet. The possibility of the
oceanic feedback loop reversing and creating
another system that subjects this planet to
unnecessary temperature increases is very real.
James Lovelock is not the only scientist who is
concerned with the future of our climate system.
Although any scientist knows that the planet will
survive long after humans are extinct, the focus
of preventing climate change is to ensure the
prosperity of humans and all other organic life
alike. It is not farfetched that at some point the
earth may shrug humans off its proverbial
shoulder. This is why this proposal is so
important. Although it is serving to quantify but
one phenomenon out of the trillions that exist on
this planet, it is a step in the right direction.
References
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