Argo has provided an unprecedented global view of ocean conditions since 1998 through over 1.3 million temperature and salinity profiles from 3,000 floats. It has allowed accurate tracking of ocean heat content rise and revealed details of ocean circulation and tropical Pacific variability. Enhancements aim to improve coverage of marginal seas, equatorial regions, and western boundary currents. New missions like Deep Argo will profile below 2000m, while Bio-Argo will track biogeochemistry. However, funding declines threaten to degrade array densities if not addressed.
C5.06: Argo: Recent Insights and Future Evolution - Susan WijffelsBlue Planet Symposium
Since reaching global coverage in 2006, the Argo array of profiling floats has been delivering high-quality temperature and salinity profiles from depths of around 2000m to the surface every 10 days (www.argo.net). When synthesized, these data show that the Earth’s warming has continued unabated at 0.4-0.6 Wm-2 despite a ‘hiatus’ in surface air temperature rise. Argo’s depth reach reveals that short-term vertical displacement of heat accounts for this surface ‘hiatus’, characterized by compensating subsurface warming above ~700m. Below 700m a steady warming is detected down to 2000m. Over the period for which Argo coverage is global (2006 to present), most of the extra heat is accumulating in the Southern Hemisphere extratropical ocean. Argo drift phase data are also revealing striking structures in the mid-depth circulation field. We will describe the current status of Argo and its challenges. We will also outline progress towards evolving the design of the Argo array and piloting extensions to cover existing gaps (marginal seas, deep and ice-covered oceans) and new parameters such as bio-chemical and optical measurements.
Darryl Keith, EPA: "Hyperspectral Imager for Coastal Ocean Imagery & Ocean Protection (HICO)." Presented at the 2013 International Space Station Research and Development Conference, http://www.astronautical.org/issrdc/2013.
An Argo based estimate of Oxygen (O_2) at 150 m is presented for the Southern Ocean (SO) from T/S, O_2 Argo profiles collected during 2008-2012. The method is based on supervised machine learning, i.e. Random Forest (RF) regression, and provides an estimate for O_2 on gridded Argo T/S fields. Results show that the Southern Ocean State Estimate (SOSE) and the World Ocean Atlas 2013 climatology may overestimate annual mean O_2 in the SO, both on a global and basin scale. A large regional bias is found east of Argentina, where high O_2 values in the Argo based estimate are closer to the coast compared to other products. SOSE may also underestimate the annual cycle of O_2. Regions where the RF method does not perform well
(e.g. eastern boundaries) are identified comparing the actual SOSE O_2 fields to the RF estimate from model profiles co-located with observations. The RF based method presented here has the potential to improve our understanding of O_2 annual mean fields and variability from available (sparse) O_2 measurements. Also, it may guide the design of future enhancements to the current array of O_2 profiling floats, and prove effective for other biogeochemical variables (e.g.
nutrients and carbon).
C5.06: Argo: Recent Insights and Future Evolution - Susan WijffelsBlue Planet Symposium
Since reaching global coverage in 2006, the Argo array of profiling floats has been delivering high-quality temperature and salinity profiles from depths of around 2000m to the surface every 10 days (www.argo.net). When synthesized, these data show that the Earth’s warming has continued unabated at 0.4-0.6 Wm-2 despite a ‘hiatus’ in surface air temperature rise. Argo’s depth reach reveals that short-term vertical displacement of heat accounts for this surface ‘hiatus’, characterized by compensating subsurface warming above ~700m. Below 700m a steady warming is detected down to 2000m. Over the period for which Argo coverage is global (2006 to present), most of the extra heat is accumulating in the Southern Hemisphere extratropical ocean. Argo drift phase data are also revealing striking structures in the mid-depth circulation field. We will describe the current status of Argo and its challenges. We will also outline progress towards evolving the design of the Argo array and piloting extensions to cover existing gaps (marginal seas, deep and ice-covered oceans) and new parameters such as bio-chemical and optical measurements.
Darryl Keith, EPA: "Hyperspectral Imager for Coastal Ocean Imagery & Ocean Protection (HICO)." Presented at the 2013 International Space Station Research and Development Conference, http://www.astronautical.org/issrdc/2013.
An Argo based estimate of Oxygen (O_2) at 150 m is presented for the Southern Ocean (SO) from T/S, O_2 Argo profiles collected during 2008-2012. The method is based on supervised machine learning, i.e. Random Forest (RF) regression, and provides an estimate for O_2 on gridded Argo T/S fields. Results show that the Southern Ocean State Estimate (SOSE) and the World Ocean Atlas 2013 climatology may overestimate annual mean O_2 in the SO, both on a global and basin scale. A large regional bias is found east of Argentina, where high O_2 values in the Argo based estimate are closer to the coast compared to other products. SOSE may also underestimate the annual cycle of O_2. Regions where the RF method does not perform well
(e.g. eastern boundaries) are identified comparing the actual SOSE O_2 fields to the RF estimate from model profiles co-located with observations. The RF based method presented here has the potential to improve our understanding of O_2 annual mean fields and variability from available (sparse) O_2 measurements. Also, it may guide the design of future enhancements to the current array of O_2 profiling floats, and prove effective for other biogeochemical variables (e.g.
nutrients and carbon).
Editorial – October 2011 – Three of the MyOcean long time series reanalysis products
Greengs all,
This month’s newsleer is devoted to three of the MyOcean long me series Reanalysis products: the In Situ temperature and salinity CORA reanalysis
(1990 to 2010), the reanalysis of the North Atlanc ocean biogeochemistry (1998-2007) and the Arcc Ocean sea-ice dri/ reanalysis (1992-
2010).
The first product described here is the In Situ temperature and salinity CORA reanalysis (1990 to 2010). A new version of the comprehensive and
qualified ocean in-situ dataset (the Coriolis dataset for Re-Analysis - CORA) is released for the period 1990 to 2010. This in-situ dataset of temperature
and salinity profiles, from different data types (Argo, GTS data, VOS ships, NODC historical data...) on the global scale, is meant to be used for
general oceanographic research purposes, for ocean model validaon, and also for inializaon or assimilaon of ocean models. This product is
available from the MyOcean web portal (hp://www.myocean.eu/).
The second product is the reanalysis of the North Atlanc ocean biogeochemistry (1998-2007). A system assimilang Ocean Colour SeaWiFS data
during the period 1998-2007 has been designed to construct a reanalysis of the North Atlanc ocean biogeochemistry based on a coupled physicalbiogeochemical
model at eddy-admi:ng resoluon. The aim of this study is, on the one hand to develop the skeleton of a pre-operaonal coupled
physical-biogeochemical system with real-me assimilave/forecasng capability, and on the other hand to operate this prototype system for producing
a biogeochemical reanalysis covering the 1998-2007 period. This product is not available from the MyOcean web portal yet.
The third reanalysis product is the 1992-2010 winter Arcc Ocean sea ice dri/ me series made at Ifremer/CERSAT from satellite measurements
which consists of several products: the Level 3 products from single sensors and the L4 products from the combinaon of sensors. They are available
at 3, 6 and 30 day-lag with a 62.5 km-grid size during winter. This dataset is available for oceanic and climate modelling as well as various scienfic
studies in the Arcc. The me series is ongoing and will connue for Arcc long term monitoring using the next MetOp/ASCAT operaonal
scaerometers, planned to be operated for the next 10 years. This product is available from the MyOcean web portal (hp://www.myocean.eu/).
The next January 2012 issue will be dedicated to various applicaons using the Mercator Ocean products.
We wish you a pleasant reading!
The Value Proposition of 3D and 4D Marine Seismic DataTaylor Goss
An explanation of what 3D/4D Seismic is and why it is valuable for the Oil & Gas industry. How it helps to reduce risk in exploration, and helps to monitor the reservoir.
Seismic attributes are being used more and more often in the reservoir characterization and interpretation processes. The new software and computer’s development allows today to generate a large number of surface and volume attributes. They proved to be very useful for the facies and reservoir properties distribution in the geological models, helping to improve their quality in the areas between the wells and areas without wells. The seismic attributes can help to better understand the stratigraphic and structural features, the sedimentation processes, lithology variations, etc. By improving the static geological models, the dynamic models are also improved, helping to better understand the reservoirs’ behavior during exploitation. As a result, the estimation of the recoverable hydrocarbon volumes becomes more reliable and the development strategies will become more successful.
Greetings all,
This month’s newsletter is devoted to ocean indices aiming at a better understanding of the state of the ocean climate. Ocean
climate indices can be linked to major patterns of climate variability and usually have a significant social impact. The estimation of
the ocean climate indices along with their uncertainty is thus crucial: It gives an indication of our ability to measure the ocean. It is
as well a useful tool for decision making. Ocean climate indices also provide an at-a-glance overview of the state of the ocean
climate, and a way to talk to a wider audience about the ocean observing system. Several groups of experts are now working on
various ocean indicators using ocean forecast models, satellite data and reanalysis models in observing system simulation
experiments, among which the OOPC, NOAA and MERSEA/Boss4Gmes communities for example:
http://ioc3.unesco.org/oopc/state_of_the_ocean/index.php
http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/
http://www.aoml.noaa.gov/phod/cyclone/data/method.html
http://www.mersea.eu.org/Indicators-with-B4G.html
Scientific articles about Ocean indices in the present Newsletter are displayed as follows: The first article by Von Schuckmann et
al. is dealing with the estimation of global ocean indicators from a gridded hydrographic field. Then, Crosnier et al. are describing
the need to conduct intercomparison of model analyses and forecast in order for experts to provide a reliable scientific expertise
on ocean climate indicators. The next article by Coppini et al. is telling us about ocean indices computed from the Mediterranean
Forecasting System for the European Environment Agency and Boss4Gmes. Then Buarque et al. are revisiting the Tropical
Cyclone Heat Potential Index in order to better represent the ocean heat content that interacts with Hurricane. The last article by Greiner et al. is dealing with the assessment of robust ocean indicators and gives an example with oceanic predictors for the
Sahel precipitations.
The next July 2009 newsletter will review the current work on data assimilation and its techniques and progress for operational
oceanography.
We wish you a pleasant reading.
Sometimes it makes sense to involve yourself in a field where your competence is limited. I learned a lot by preparing this presentation to the CCAMLR symposium in Santiago in May 2015
Editorial – October 2011 – Three of the MyOcean long time series reanalysis products
Greengs all,
This month’s newsleer is devoted to three of the MyOcean long me series Reanalysis products: the In Situ temperature and salinity CORA reanalysis
(1990 to 2010), the reanalysis of the North Atlanc ocean biogeochemistry (1998-2007) and the Arcc Ocean sea-ice dri/ reanalysis (1992-
2010).
The first product described here is the In Situ temperature and salinity CORA reanalysis (1990 to 2010). A new version of the comprehensive and
qualified ocean in-situ dataset (the Coriolis dataset for Re-Analysis - CORA) is released for the period 1990 to 2010. This in-situ dataset of temperature
and salinity profiles, from different data types (Argo, GTS data, VOS ships, NODC historical data...) on the global scale, is meant to be used for
general oceanographic research purposes, for ocean model validaon, and also for inializaon or assimilaon of ocean models. This product is
available from the MyOcean web portal (hp://www.myocean.eu/).
The second product is the reanalysis of the North Atlanc ocean biogeochemistry (1998-2007). A system assimilang Ocean Colour SeaWiFS data
during the period 1998-2007 has been designed to construct a reanalysis of the North Atlanc ocean biogeochemistry based on a coupled physicalbiogeochemical
model at eddy-admi:ng resoluon. The aim of this study is, on the one hand to develop the skeleton of a pre-operaonal coupled
physical-biogeochemical system with real-me assimilave/forecasng capability, and on the other hand to operate this prototype system for producing
a biogeochemical reanalysis covering the 1998-2007 period. This product is not available from the MyOcean web portal yet.
The third reanalysis product is the 1992-2010 winter Arcc Ocean sea ice dri/ me series made at Ifremer/CERSAT from satellite measurements
which consists of several products: the Level 3 products from single sensors and the L4 products from the combinaon of sensors. They are available
at 3, 6 and 30 day-lag with a 62.5 km-grid size during winter. This dataset is available for oceanic and climate modelling as well as various scienfic
studies in the Arcc. The me series is ongoing and will connue for Arcc long term monitoring using the next MetOp/ASCAT operaonal
scaerometers, planned to be operated for the next 10 years. This product is available from the MyOcean web portal (hp://www.myocean.eu/).
The next January 2012 issue will be dedicated to various applicaons using the Mercator Ocean products.
We wish you a pleasant reading!
The Value Proposition of 3D and 4D Marine Seismic DataTaylor Goss
An explanation of what 3D/4D Seismic is and why it is valuable for the Oil & Gas industry. How it helps to reduce risk in exploration, and helps to monitor the reservoir.
Seismic attributes are being used more and more often in the reservoir characterization and interpretation processes. The new software and computer’s development allows today to generate a large number of surface and volume attributes. They proved to be very useful for the facies and reservoir properties distribution in the geological models, helping to improve their quality in the areas between the wells and areas without wells. The seismic attributes can help to better understand the stratigraphic and structural features, the sedimentation processes, lithology variations, etc. By improving the static geological models, the dynamic models are also improved, helping to better understand the reservoirs’ behavior during exploitation. As a result, the estimation of the recoverable hydrocarbon volumes becomes more reliable and the development strategies will become more successful.
Greetings all,
This month’s newsletter is devoted to ocean indices aiming at a better understanding of the state of the ocean climate. Ocean
climate indices can be linked to major patterns of climate variability and usually have a significant social impact. The estimation of
the ocean climate indices along with their uncertainty is thus crucial: It gives an indication of our ability to measure the ocean. It is
as well a useful tool for decision making. Ocean climate indices also provide an at-a-glance overview of the state of the ocean
climate, and a way to talk to a wider audience about the ocean observing system. Several groups of experts are now working on
various ocean indicators using ocean forecast models, satellite data and reanalysis models in observing system simulation
experiments, among which the OOPC, NOAA and MERSEA/Boss4Gmes communities for example:
http://ioc3.unesco.org/oopc/state_of_the_ocean/index.php
http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/
http://www.aoml.noaa.gov/phod/cyclone/data/method.html
http://www.mersea.eu.org/Indicators-with-B4G.html
Scientific articles about Ocean indices in the present Newsletter are displayed as follows: The first article by Von Schuckmann et
al. is dealing with the estimation of global ocean indicators from a gridded hydrographic field. Then, Crosnier et al. are describing
the need to conduct intercomparison of model analyses and forecast in order for experts to provide a reliable scientific expertise
on ocean climate indicators. The next article by Coppini et al. is telling us about ocean indices computed from the Mediterranean
Forecasting System for the European Environment Agency and Boss4Gmes. Then Buarque et al. are revisiting the Tropical
Cyclone Heat Potential Index in order to better represent the ocean heat content that interacts with Hurricane. The last article by Greiner et al. is dealing with the assessment of robust ocean indicators and gives an example with oceanic predictors for the
Sahel precipitations.
The next July 2009 newsletter will review the current work on data assimilation and its techniques and progress for operational
oceanography.
We wish you a pleasant reading.
Sometimes it makes sense to involve yourself in a field where your competence is limited. I learned a lot by preparing this presentation to the CCAMLR symposium in Santiago in May 2015
Editorial - May 2014 - Special Issue jointly coordinated by Mercator Ocean and Coriolis
focusing on Ocean Observations
Greetings all,
Once a year and for the fi fth year in a raw, the Mercator Ocean Forecasting Center in Toulouse and the Coriolis Infrastructure in Brest publish a
common newsletter. Some papers are dedicated to observations only, when others display collaborations between the 2 aspects: Observations and
Modelling/Data assimilation.
The fi rst paper by Cabanes et al. introducing this issue is presenting a new methodology aiming at correcting Argo fl oat salinity measurements in
delayed time when Argo fl oats conductivity sensors are subject to drift and offset due to bio-fouling or other technical problems.
Then, Cravatte et al. are using the Argo arrays in order to compile Argo fl oats’ drifts and show that they are a very valuable tool allowing determining
the absolute velocity. They apply this to study zonal jets at 1000 meters depth in the Tropics.
In the next paper, Maes and O’Kane provide with some results indicating the impact of a sustained ocean observing Argo network on the ability to
resolve the seasonal cycle of salinity stratifi cation by contrasting periods pre- and post-Argo. They take into account the respective thermal and saline
dependencies in the Brunt-Väisälä frequency (N2) in order to isolate the specifi c role of the salinity stratifi cation in the layers above the main pycno-
cline.
Picheral et al. are telling us about the Tara Oceans voyage that took place on the schooner “Tara” from 2009 to 2013 and visited all oceans. The ship
was adapted for modern oceanography. Scientifi c instruments were mounted on a dedicated CTD frame and installed on an underway fl ow-through
system. Data were sent daily to Coriolis. Post cruise calibrations were performed leading to a high quality dataset.
Then, Roquet et al. demonstrate the importance of the contribution of hydrographic and biogeochemical data collected by Antarctic marine mammals,
and in particular elephant seals, equipped with a new generation of oceanographic tags, for the environmental monitoring of the Southern Ocean.
The last paper of the present issue is displaying the collaboration between the Ocean Observations and Ocean Modelling communities: Turpin et
al. perform several Observing System Experiments in order to assess the impact of Argo observations on the Mercator Océan global analysis and
forecasting system at ¼ degree resolution.
We wish you a pleasant reading,
Laurence Crosnier and Sylvie Pouliquen, Editors.
#50
Newsletter
QUARTERLY
The Tara Oceans voyage took place on the schooner “Tara” from 2009 to 2013 and visited all oceans to collect samples and data in order to study the relationships between ecosystem biodiversity and function and the physical-chemical oceanographic environ-
ment (water mass, transport) (cf Picheral et al. this issue).
Credits: Francois Aurat/Tara Expéditions; Marc Picheral/LOV
C5.04: GO-SHIP: A component of the sustained ocean observing system - Bernade...Blue Planet Symposium
The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) brings together scientists with interests in physical oceanography, the carbon cycle, marine biogeochemistry and ecosystems, and other users and collectors of ocean interior data, and coordinates a network of globally sustained hydrographic sections as part of the global ocean/climate observing system including physical oceanography, the carbon cycle, marine biogeochemistry and ecosystems.
GO-SHIP provides approximately decadal resolution of the changes in inventories of heat, freshwater, carbon, oxygen, nutrients and transient tracers, covering the ocean basins from coast to coast and full depth (top to bottom), with global measurements of the highest required accuracy to detect these changes. The GO-SHIP principal scientific objectives are: (1) understanding and documenting the large-scale ocean water property distributions, their changes, and drivers of those changes, and (2) addressing questions of how a future ocean that will increase in dissolved inorganic carbon, become more acidic and more stratified, and experience changes in circulation and ventilation processes due to global warming and altered water cycle.
Greetings all,
This month’s newsletter is devoted to Data Assimilation and its techniques and progress for operational oceanography.
Gary Brassington is first introducing this newsletter with a paper telling us about the international summer school for “observing,
assimilating and forecasting the ocean” which will be held in Perth, Western Australia in 11-22 January 2010
(http://www.bom.gov.au/bluelink/summerschool/). The course curriculum will include topics covering the leading edge science in
ocean observing systems, as well as the latest methods and techniques for analysis, data assimilation and ocean modeling.
Scientific articles about Data Assimilation are then displayed as follows: The first article by Broquet et al. is dealing with Ocean
state and surface forcing correction using the ROMS-IS4DVAR Data Assimilation System. Then, Cosme et al. are describing the
SEEK smoother as a Data Assimilation scheme for oceanic reanalyses. The next article by Brankart et al. is displaying a synthetic
literature review on the following subject: Is there a simple way of controlling the forcing function of the Ocean? Then Ferry et al.
are telling us about Ocean-Atmosphere flux correction by Ocean Data Assimilation. The last article by Oke et al. is dealing with
Data Assimilation in the Australian BlueLink System.
The next October 2009 newsletter will review the current work on ocean biology and biogeochemistry.
We wish you a pleasant reading!
Effects of antifouling technology application on Marine ecological environment
Thermocline Model for Estimating Argo Sea Surface Temperature
Applications of Peridynamics in Marine Structures
Thermal and Structural Behaviour of Offshore Structures with Passive Fire Protection
Functionally graded material and its application to marine structures
DSD-INT 2018 Characterizing the drivers of coral reef hydrodynamics at the Ro...Deltares
Presentation by Camille Grimaldi, University of Western Australia, Australia, at the Delft3D - User Days (Day 2: Hydrodynamics), during Delft Software Days - Edition 2018. Tuesday, 13 November 2018, Delft.
Reexamining future projections of Arctic climate linkagesZachary Labe
10 May 2024…
Atmospheric and Oceanic Sciences Student/Postdoc Seminar (Presentation): Reexamining future projections of Arctic climate linkages, Princeton University, USA.
References...
Labe, Z.M., Y. Peings, and G. Magnusdottir (2018), Contributions of ice thickness to the atmospheric response from projected Arctic sea ice loss,
Geophysical Research Letters, DOI:10.1029/2018GL078158
Labe, Z.M., Y. Peings, and G. Magnusdottir (2019). The effect of QBO phase on the atmospheric response to projected Arctic sea ice loss in early winter, Geophysical Research Letters, DOI:10.1029/2019GL083095
Labe, Z.M., Y. Peings, and G. Magnusdottir (2020). Warm Arctic, cold Siberia pattern: role of full Arctic amplification versus sea ice loss alone, Geophysical Research Letters, DOI:10.1029/2020GL088583
Labe, Z.M., May 2020: The effects of Arctic sea-ice thickness loss and stratospheric variability on mid-latitude cold spells. University of California, Irvine. Doctoral Dissertation.
Peings, Y., Z.M. Labe, and G. Magnusdottir (2021), Are 100 ensemble members enough to capture the remote atmospheric response to +2°C Arctic sea ice loss? Journal of Climate, DOI:10.1175/JCLI-D-20-0613.1
A new atlas, providing the most thorough audit of marine life in the Southern Ocean, is published this week by the Scientific Committee on Antarctic Research (SCAR). Leading marine biologists and oceanographers from all over the world spent the last four years compiling everything they know about ocean species from microbes to whales. It’s the first time that such an effort has been undertaken since 1969 when the American Society of Geography published its Antarctic Map Folio Series.
In an unprecedented international collaboration 147 scientists from 91 institutions across 22 countries (Australia, Belgium, Brazil, Canada, Chile, Denmark, France, Germany, Ireland, Italy, Japan, the Netherlands, New Zealand, Norway, Poland, Portugal, Russia, South Africa, Spain, Switzerland, the UK and the USA) combined their expertise and knowledge to produce the new Biogeographic Atlas of the Southern Ocean. More than 9000 species are recorded, ranging from microbes to whales. Hundreds of thousands of records show the extent of scientific knowledge on the distribution of life in the Southern Ocean. In 66 chapters, the scientists examine the evolution, physical environment, genetics and possible impact of climate change on marine organisms in the region.
Chief editor, Claude De Broyer, of the Royal Belgian Institute of Natural Sciences, said: “This is the first time that all the records of the unique Antarctic marine biodiversity, from the very beginnings of Antarctic exploration in the days of Captain Cook, have been compiled, analysed and mapped by the scientific community. It has resulted in a comprehensive atlas and an accessible database of useful information on the conservation of Antarctic marine life.”
Top 8 Strategies for Effective Sustainable Waste Management.pdfJhon Wick
Discover top strategies for effective sustainable waste management, including product removal and product destruction. Learn how to reduce, reuse, recycle, compost, implement waste segregation, and explore innovative technologies for a greener future.
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Presented by The Global Peatlands Assessment: Mapping, Policy, and Action at GLF Peatlands 2024 - The Global Peatlands Assessment: Mapping, Policy, and Action
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
Altered Terrain: Colonial Encroachment and Environmental Changes in Cachar, A...PriyankaKilaniya
The beginning of colonial policy in the area was signaled by the British annexation of the Cachar district in southern Assam in 1832. The region became an alluring investment opportunity for Europeans after British rule over Cachar, especially after the accidental discovery of wild tea in 1855. Within this historical context, this study explores three major stages that characterize the evolution of nature. First, it examines the distribution and growth of tea plantations, examining their size and rate of expansion. The second aspect of the study examines the consequences of land concessions, which led to the initial loss of native forests. Finally, the study investigates the increased strain on forests caused by migrant workers' demands. It also highlights the crucial role that the Forest Department plays in protecting these natural habitats from the invasion of tea planters. This study aims to analyze the intricate relationship between colonialism and the altered landscape of Cachar, Assam, by means of a thorough investigation, shedding light on the environmental, economic, and societal aspects of this historical transformation.
Altered Terrain: Colonial Encroachment and Environmental Changes in Cachar, A...
Argo & GCOS 2016
1. Argo:
Past Achievement,
Future Risks and Opportunities
Toshio Suga, Tohoku University and JAMSTEC, Japan
On behalf of
Susan Wijffels, CSIRO/ Centre for Australian Weather and Climate Research, Australia
Dean Roemmich, Scripps Institution of Oceanography, USA
Howard Freeland, hosted at IOS,Canada
and
The Argo Steering Team
GCOS Science Conference, Amsterdam, 2-4 March 2016
2. Outline
• From Argo the idea to Argo today
• The value of Argo
– Global change research
– Tropical Pacific variability (ENSO)
– Absolute 1000-m velocity
– Basic research, education, and model assimilation/initialization
• Enhancements to Argo’s global upper ocean mission
– Marginal seas
– Equatorial variability
– Seasonal ice zones
– Western boundary current regions
• New Argo missions
– Deep Argo
– Bio/Biogeochemical Argo
• Summary and challenges
3. From the 1998 Argo Design document: See http://www.argo.ucsd.edu/argo-design.pdf
an idea
Argo in 1998
4. Argo in 2016
• Today’s Argo array is remarkably similar to the original 1998 design, with contributions from 30 nations.
• Over 1.3 million T/S profiles and trajectories have been acquired, presently > 10,000 per month.
• Argo data quality is better than expected, thanks to SeaBird and the Argo Data Management Team.
• Ongoing improvements include completeness and consistency of trajectory data (Format 3.1).
• Ongoing conversion to Iridium communications results in longer float lifetime and reduced bio-fouling.
5. Argo and global ocean heat content
• Net heat gain in the climate
system is dominated by the
ocean (> 90%).
• Global ocean heat gain, 0 –
2000 m, is observed by Argo
with unprecedented accuracy.
7.4 x 1022 J/decade ± 2.6 (95%
confidence)
Figure: Updated from Roemmich et
al, Nature Climate Change, 2015.
Blue: Global ocean heat content, 10-year annual mean removed
Black: 12-month running mean
Red: Linear trend
6. Global mean SST, 12-month running mean, 10-year
mean removed.
Global mean temperature
trend (°C/decade) versus
depth, with 95%
confidence intervals
Global mean temperature, 12-month running mean, 10-year mean removed, versus depth
Argo and global ocean heat content
Global mean SST is dominated by ENSO,
resulting in the appearance of a warming
“hiatus” that is offset/cancelled between
100 and 400 m. Water column heat gain, 0 –
2000 m, shows unabated global warming.
Figures: Updated from Roemmich et al, Nature Climate Change, 2015.
7. Argo and global ocean heat content
Heat gain (W/m2), 0 – 2000 m, 2006 – 2015.
The spatial pattern of ocean heat gain is dominated by the Southern Hemisphere,
with a maximum around 40°S due to warming in all three oceans.
8. Argo and tropical Pacific variability
Vertical sections of temperature
and temperature anomaly,
salinity and salinity anomaly
along the Pacific Equator, using
Argo profiles from 13 – 23
October 2015.
Argo provides spatial resolution
that was not previously possible,
and measures salinity in addition
to temperature.
The fresh pool at the dateline
has anomalous salinity 0-100m
equivalent to 2.5 m of
freshwater (caused by
anomalous P-E and zonal
advection)
9. Argo trajectories give unprecedented
details of ocean circulation at 1000m
Ollitrault and Colin De Verdiere, 2014
11. Argo’s value:
• Basic research
• Ocean data assimilation modeling/forecasting
• Education Argo bibliography: papers that explicitly mention use of Argo data
http://www.argo.ucsd.edu/Bibliography.html
Papersperyear
Updated 26 Oct 2015
Argo is transforming
the field of large-scale
oceanography.
12. Going forward: A Global Argo Design
Towards spatial completeness
• Same mission – tracking the slow manifold - but more spatially complete and better signal to
noise
• Double sampling in WBCs and equatorial regions
• Marginal Seas: enhanced sampling - determined by regional partnerships
• Seasonal Ice zone: normal sampling [Fast-ice zone requires different technology]
13. Marginal Seas
• Target density 2 x global design = 2 floats every 3° x 3°
• Feasible due to high bandwidth communications leading to less grounding
• Demand for biogeochemistry and optics is high
• Implementation can only happen within strong functioning GOOS regional
alliances which are able to overcome EEZ sensitivities
About 200 active floats are in marginal seas
14. Equatorial Enhancement
• Improved spatial resolution of intraseasonal to interannual variability – critical
for observation of ENSO/monsoon/IOD
• Successful Argo pilot was carried out after the decline of TAO – 41 faster cycling
(7-days) floats were deployed by US Argo along the Pacific equator in early
2014. These are providing an unprecedented view of intraseasonal (Kelvin
wave) propagation (see figure below).
• GOOS-OOPC TPOS 2020 will deliver a more rigorous design recommendation
Hovmuller diagram of 0-300m
vertically-averaged temperature
anomaly in 2015, showing the
sequence of Equatorial Kelvin
waves propagating eastward in
the thermocline through the year.
The strength of the 2015 El Niño
may be further influenced by the
Oct-Nov Kelvin wave.
15. Seasonal Sea-Ice Zone
• A blind spot in the GOOS – needs to be
urgently addressed due to links between
ocean warming – ice sheet loss – future
sea level rise.
• Arctic- 75 active floats north of 60°N.
• Antarctic- 139 active floats south of 60°S.
Deployment opportunities are limiting.
• Floats use an “Ice-avoiding” algorithm to
remain below ice during winter.
16. Western Boundary Current
Enhancements
• High eddy activity drives a lower signal/noise ratio for Argo’s target space/time
scales. Enhanced resolution needed.
• Due to process studies and regional interest, the Kuroshio/Oyashio system has
been a pilot of this coverage enhancement.
• Further guidance will come from the OOPC Western Boundary Current project.
17. New Missions?
Deep Argo
Why?
• Sparse repeat ship data show that the ocean below Argo is warming
consistently, particularly in the Southern Hemisphere.
• This matters for sea level rise and the Earth’s energy budget.
• Model initialization/assimilation requires data below 2000 m.
Bottom Water warming from 1990’s to 2000’s
Purkey and Johnson (2010)
Report of the Deep Argo Implementation Workshop
http://www.argo.ucsd.edu/DAIW1report.pdf
18. Deep Argo
Status
• Four Deep Argo float models have been developed and tested.
• A new CTD sensor (SBE-61) is under parallel development with improved
stability and accuracy.
• A successful workshop was held to develop a science and implementation
prospectus, global design, and costing - to feed into the GOOS Deep Ocean
Observing Strategy
• 3 coordinated regional Deep Argo pilots are being planned: Atlantic/S.
Pacific/Southern Ocean
Deep NINJA (left) and Deep
PROVOR (below) 4000 m floats.
Deep APEX (below left) and Deep SOLO (below right) 6000 m floats.
The Deep SOLO is shown following its recovery after 110 dives to
5700 m over 15 months.
Strawplan for 1228 Deep Argo floats at
nominal 5° x 5° spacing (Johnson et al,
JAOT, 2015) over the global ocean
where depth exceeds 2000 m.
19. New Missions: Bio/BGC-Argo
Why
• Understand the fundamental bio-geochemical cycling in the oceans, and thus the
foundation of biological productivity patterns and carbon uptake
• To track any long term trends – e.g there is already evidence of significant ocean
oxygen changes
Status
• > 200 floats already carry oxygen – QC and sensor stability work is progressing well
• Nitrate, pH (acidity), and bio-optical sensors have been developed and now deployed
on a subset of Argo floats
• 2 major open ocean arrays (Atlantic and Southern Ocean) are rolling out and in one
marginal sea (Med Sea)
• Major progress on data handling and QC – partnership with the Argo Data System
• Strong links to GOSHIP/IOCCP/GOOS.
Location of 271 active
floats carrying Bio or Bio-
Geochemical sensors.
20. Summary and Challenges
GOOD NEWS
• The Argo array is currently in a healthy state.
• Many enhancements and extensions are gaining momentum,
developing as part of the integrated GOOS, following the FOO pathway
• Research and operational uptake continues to grow.
• Deep Argo will provide global full ocean-depth coverage.
BAD NEWS
• Several major contributors (US, Australia, Japan) will see significant
declines in deployments due to flat (below inflation) or decreased
funding. Growth by Europe and China programs will not likely
compensate for this.
• We have coped in the past by increasing float lifetimes but this well
has probably run dry.
• Thus there is a real potential we will see degradation of array
densities in the next few years.
Editor's Notes
A major future evolution of Argo will be its extension into the deep ocean, profiling beyond 2000 m to the ocean bottom. Deep Argo floats are being developed, and successful deployments have been carried out using 4000 and 6000 m designs. A CTD with improved sensor stability needed for abyssal measurement is under parallel development. Objectives of Deep Argo, in combination with satellite missions including altimetry and gravity, will include closure of the sea level, ocean mass, and energy budgets on regional and global scales. Deep Argo will also provide new information on ocean circulation and water mass formation and properties, as well as many other new applications. For ocean data assimilation modeling, Deep Argo will mitigate the lack of observations below 2000 m.
A major future evolution of Argo will be its extension into the deep ocean, profiling beyond 2000 m to the ocean bottom. Deep Argo floats are being developed, and successful deployments have been carried out using 4000 and 6000 m designs. A CTD with improved sensor stability needed for abyssal measurement is under parallel development. Objectives of Deep Argo, in combination with satellite missions including altimetry and gravity, will include closure of the sea level, ocean mass, and energy budgets on regional and global scales. Deep Argo will also provide new information on ocean circulation and water mass formation and properties, as well as many other new applications. For ocean data assimilation modeling, Deep Argo will mitigate the lack of observations below 2000 m.
A major future evolution of Argo will be its extension into the deep ocean, profiling beyond 2000 m to the ocean bottom. Deep Argo floats are being developed, and successful deployments have been carried out using 4000 and 6000 m designs. A CTD with improved sensor stability needed for abyssal measurement is under parallel development. Objectives of Deep Argo, in combination with satellite missions including altimetry and gravity, will include closure of the sea level, ocean mass, and energy budgets on regional and global scales. Deep Argo will also provide new information on ocean circulation and water mass formation and properties, as well as many other new applications. For ocean data assimilation modeling, Deep Argo will mitigate the lack of observations below 2000 m.
A major future evolution of Argo will be its extension into the deep ocean, profiling beyond 2000 m to the ocean bottom. Deep Argo floats are being developed, and successful deployments have been carried out using 4000 and 6000 m designs. A CTD with improved sensor stability needed for abyssal measurement is under parallel development. Objectives of Deep Argo, in combination with satellite missions including altimetry and gravity, will include closure of the sea level, ocean mass, and energy budgets on regional and global scales. Deep Argo will also provide new information on ocean circulation and water mass formation and properties, as well as many other new applications. For ocean data assimilation modeling, Deep Argo will mitigate the lack of observations below 2000 m.
A major future evolution of Argo will be its extension into the deep ocean, profiling beyond 2000 m to the ocean bottom. Deep Argo floats are being developed, and successful deployments have been carried out using 4000 and 6000 m designs. A CTD with improved sensor stability needed for abyssal measurement is under parallel development. Objectives of Deep Argo, in combination with satellite missions including altimetry and gravity, will include closure of the sea level, ocean mass, and energy budgets on regional and global scales. Deep Argo will also provide new information on ocean circulation and water mass formation and properties, as well as many other new applications. For ocean data assimilation modeling, Deep Argo will mitigate the lack of observations below 2000 m.
A major future evolution of Argo will be its extension into the deep ocean, profiling beyond 2000 m to the ocean bottom. Deep Argo floats are being developed, and successful deployments have been carried out using 4000 and 6000 m designs. A CTD with improved sensor stability needed for abyssal measurement is under parallel development. Objectives of Deep Argo, in combination with satellite missions including altimetry and gravity, will include closure of the sea level, ocean mass, and energy budgets on regional and global scales. Deep Argo will also provide new information on ocean circulation and water mass formation and properties, as well as many other new applications. For ocean data assimilation modeling, Deep Argo will mitigate the lack of observations below 2000 m.