The In situ Global Ocean Observing System for Climate (and Other Needs)

2015 ◽  
Vol 49 (2) ◽  
pp. 112-121
Author(s):  
Stephen R. Piotrowicz ◽  
David M. Legler

AbstractThe Global Ocean Observing System (GOOS) is the international observation system that ensures long-term sustained ocean observations. The ocean equivalent of the atmospheric observing system supporting weather forecasting, GOOS, was originally developed to provide data for weather and climate applications. Today, GOOS data are used for all aspects of ocean management as well as weather and climate research and forecasting. National Oceanic and Atmospheric Administration (NOAA), through the Climate Observation Division of the Office of Oceanic and Atmospheric Research/Climate Program Office, is a major supporter of the climate component of GOOS. This paper describes the eight elements of GOOS, and the Arctic Observing Network, to which the Climate Observation Division is a major contributor. In addition, the paper addresses the evolution of the observing system as rapidly evolving new capabilities in sensors, platforms, and telecommunications allow observations at unprecedented temporal and spatial scales with the accuracy and precision required to address questions of climate variability and change.

2014 ◽  
Vol 11 (13) ◽  
pp. 3547-3602 ◽  
Author(s):  
P. Ciais ◽  
A. J. Dolman ◽  
A. Bombelli ◽  
R. Duren ◽  
A. Peregon ◽  
...  

Abstract. A globally integrated carbon observation and analysis system is needed to improve the fundamental understanding of the global carbon cycle, to improve our ability to project future changes, and to verify the effectiveness of policies aiming to reduce greenhouse gas emissions and increase carbon sequestration. Building an integrated carbon observation system requires transformational advances from the existing sparse, exploratory framework towards a dense, robust, and sustained system in all components: anthropogenic emissions, the atmosphere, the ocean, and the terrestrial biosphere. The paper is addressed to scientists, policymakers, and funding agencies who need to have a global picture of the current state of the (diverse) carbon observations. We identify the current state of carbon observations, and the needs and notional requirements for a global integrated carbon observation system that can be built in the next decade. A key conclusion is the substantial expansion of the ground-based observation networks required to reach the high spatial resolution for CO2 and CH4 fluxes, and for carbon stocks for addressing policy-relevant objectives, and attributing flux changes to underlying processes in each region. In order to establish flux and stock diagnostics over areas such as the southern oceans, tropical forests, and the Arctic, in situ observations will have to be complemented with remote-sensing measurements. Remote sensing offers the advantage of dense spatial coverage and frequent revisit. A key challenge is to bring remote-sensing measurements to a level of long-term consistency and accuracy so that they can be efficiently combined in models to reduce uncertainties, in synergy with ground-based data. Bringing tight observational constraints on fossil fuel and land use change emissions will be the biggest challenge for deployment of a policy-relevant integrated carbon observation system. This will require in situ and remotely sensed data at much higher resolution and density than currently achieved for natural fluxes, although over a small land area (cities, industrial sites, power plants), as well as the inclusion of fossil fuel CO2 proxy measurements such as radiocarbon in CO2 and carbon-fuel combustion tracers. Additionally, a policy-relevant carbon monitoring system should also provide mechanisms for reconciling regional top-down (atmosphere-based) and bottom-up (surface-based) flux estimates across the range of spatial and temporal scales relevant to mitigation policies. In addition, uncertainties for each observation data-stream should be assessed. The success of the system will rely on long-term commitments to monitoring, on improved international collaboration to fill gaps in the current observations, on sustained efforts to improve access to the different data streams and make databases interoperable, and on the calibration of each component of the system to agreed-upon international scales.


2020 ◽  
Author(s):  
Maria Luisa Sánchez-Montes ◽  
Nikolai Pedentchouk ◽  
Thomas Mock ◽  
Simon Belt ◽  
Lukas Smik

<p>Sea ice is a crucial component of the Earth’s climate system, which helps regulate global ocean and atmosphere’s temperature. The alarming decline in sea-ice extent and thickness under modern climate conditions has created the urgency to understand the long-term sea-ice variability and mechanisms of change. In recent years, the highly branched isoprenoid (HBI) lipid biomarker IP<sub>25</sub> has emerged as a powerful proxy measure of past sea ice in the Arctic, and its analysis in a variety of marine sediments has provided the foundation for a large number of palaeo sea ice reconstructions spanning thousands to millions of years before present. To date, IP<sub>25</sub> and related HBI-based studies have focussed largely on reconstructions of sea-ice extent and seasonal dynamics. Here we aim to further develop such sea ice proxies by measuring the changes in distribution and isotopic composition of HBIs in HBI-producing diatoms grown under different controlled laboratory conditions. We present preliminary results from the diatom <em>Haslea ostrearia</em> and outline the next steps of our research in the coming year.</p>


2020 ◽  
Author(s):  
Michael Blaschek ◽  
Federico Ambrogi ◽  
Leopold Haimberger

<p>Radiosonde measurements are potentially valuable indicators of upper air climate change because of their unique long-term availability and their high vertical extent and resolution. The radiosonde network, however, is not a long-term stable measurement system, since it was designed for operational use. Changes in the observation system are frequent and surf the purpose of competitive daily weather prediction, but result in more or less clear breakpoints in the observed long-term time series. These artificial biases need to be removed. We apply a bias adjustment scheme for radiosonde temperatures and humidity based on departures from a recent reanalysis, ERA5 potentially back to 1950. Newly digitized and recovered radiosonde data have been used within ERA5 for the first time. We present long-term bias adjustments and trends as preliminary results. In particular, we focus on the water vapour transport into the Arctic as a result of polar amplification and meridional heat exchange.</p>


2020 ◽  
Vol 12 (1) ◽  
pp. 23-48 ◽  
Author(s):  
Hervé Claustre ◽  
Kenneth S. Johnson ◽  
Yuichiro Takeshita

Biogeochemical-Argo (BGC-Argo) is a network of profiling floats carrying sensors that enable observation of as many as six essential biogeochemical and bio-optical variables: oxygen, nitrate, pH, chlorophyll a, suspended particles, and downwelling irradiance. This sensor network represents today's most promising strategy for collecting temporally and vertically resolved observations of biogeochemical properties throughout the ocean. All data are freely available within 24 hours of transmission. These data fill large gaps in ocean-observing systems and support three ambitions: gaining a better understanding of biogeochemical processes (e.g., the biological carbon pump and air–sea CO2 exchanges) and evaluating ongoing changes resulting from increasing anthropogenic pressure (e.g., acidification and deoxygenation); managing the ocean (e.g., improving the global carbon budget and developing sustainable fisheries); and carrying out exploration for potential discoveries. The BGC-Argo network has already delivered extensive high-quality global data sets that have resulted in unique scientific outcomes from regional to global scales. With the proposed expansion of BGC-Argo in the near future, this network has the potential to become a pivotal observation system that links satellite and ship-based observations in a transformative manner.


2020 ◽  
Author(s):  
Katharina Seelmann ◽  
Tobias Steinhoff ◽  
Arne Körtzinger

<p>The observation and documentation of the marine carbon cycle is of utmost importance because of probable future changes such as ocean acidification, warming or deoxygenation. Over decades, ship-based observatories (Ships of Opportunity – SOOP) equipped with sensors measuring the CO<sub>2</sub> partial pressure (<em>p</em>CO<sub>2</sub>) in the surface seawater form the backbone of the global ocean carbon observation system. However, one severe shortcoming of the current carbon-SOOP observatory is the fact that it mostly only measures <em>p</em>CO<sub>2</sub> which is required to calculate the net air-sea CO<sub>2</sub> flux. Full insight into the marine CO<sub>2</sub> system for important aspects such as net biological production, ocean acidification, and marine calcification requires the measurement of two out of the four measurable variables of the marine CO<sub>2</sub> system which are <em>p</em>CO<sub>2</sub>, total alkalinity (<em>A</em><sub>T</sub>), dissolved inorganic carbon (<em>C</em><sub>T</sub>) and pH. The so far common workaround is the calculation of <em>A</em><sub>T</sub> from sea surface temperature and sea surface salinity using established parameterizations. Unfortunately, this procedure leads to high uncertainties and is particularly prone to regional bias. Therefore, autonomous <em>A</em><sub>T </sub>measurements are necessary. Our study describes the implementation of a novel autonomous analyzer for seawater <em>A</em><sub>T</sub>, the CONTROS HydroFIA<sup>®</sup> TA system (Kongsberg Maritime Contros GmbH, Kiel, Germany) on a North Atlantic SOOP line based on the merchant vessel M/V <em>Atlantic Sail</em> (Atlantic Container Line). The first main part of this work deals with the installation of the analyzer, for which several circumstances must be taken into account: 1) The system’s typical drift behavior, 2) stabilization measurements and cleaning procedures, and 3) the waste handling. We present our installation in detail and how we handle the named issues. Another major problem during automated long-term campaigns is the provision of sufficient reference seawater for regular quality assurance measurements and subsequent drift correction. We tested ten different container types and materials with minimum 5L volume (e.g. gas sampling bags) for their suitability as long-term seawater storage. As a result, only one gas sampling bag based on polyvinylidene fluoride (PVDF) featured the high-quality requirements and was chosen as reference seawater storage. The second main part focusses on the measured sea surface <em>A</em><sub>T </sub>data from the first four unattended measurement campaigns. In order to prove the success of the installation, we compared the measurements with 1) discrete samples (taken manually only during the first two transits), and 2) calculated <em>A</em><sub>T </sub>values based on established parameterization. The gained results show very promising consistency between the measured values and the <em>A</em><sub>T </sub>range and variability of the monitored region. We conclude that the implementation of the CONTROS HydroFIA<sup>®</sup> TA system on a SOOP line was successful and brings ocean carbon observations to a new level.</p>


Author(s):  
Olga S. Reshetnyak

Studies of river ion runoff and its temporal variability are important. It affects coastal waters and is interrelated with climatic changes in the Arctic region. Long-term data on the chemical runoff of macrocomponents (chlorides, sulfates, hydrocarbonates, calcium and magnesium ions) at the outlet sections of large Arctic rivers in Russia - Pechora, Usa, Yenisei, Ob, Pur, Taz, Lena, Yana and Kolyma are given. The values of volumes and modules of chemical runoff were calculated on the basis of long-term (1980-2018) hydrological and hydrochemical information from the state observation system of Roshydrom-et. It is shown that the change in the absolute values of the chemical runoff is consistent with the water inflow. Greatest contribution to the ionic runoff is made by hydrocarbonates. The intra-annual change in the water inflow and the macrocomponents runoff occurs synchronously. There is a decisive role of water runoff in the formation of chemical runoff from the catchments of large Arctic rivers. Comparison of the chemical runoff modulus indicator made it possible to classify them into low, medium or high ionic runoff rivers. It was found that the maximum runoff of macrocomponents occurs from the catchment of the Usa river. It is may be due to active processes of chemical denudation and climate change.


2021 ◽  
Vol 55 (3) ◽  
pp. 80-81
Author(s):  
Christopher E Ordoñez ◽  
John A. Barth ◽  
Moninya Roughan

Abstract The UN Decade of Ocean Science for Sustainable Development should establish a Boundary Ocean Observing Network (BOON) for the Global South (GS). The BOON is part of the OceanGlider Program, which is part of the Global Ocean Observing System (GOOS). The BOON is a network of established timeseries transects collecting long-term data sets. Timeseries are critical for making immediate operational decisions and for identifying long-term trends of anthropogenic global environmental change. The network has proven important enough to continue observations and expand them. Due to resource and expertise limitations, expanded locations are in similar locations. The UN should build on this success and establish a BOON for the Global South. The same benefits will be garnered by countries and regions that have been missing out. Increased observation coverage will benefit humanity, improving understanding of the Ocean-Climate System, e.g. leading to improved climate prediction models. The UN will facilitate activities to realize a BOON for the Global South including: coordinating local scientists, partnering scientific and technical experts with local scientists, identifying new affordable and easy-to-operate technologies, channeling funds for initial and ongoing costs, and building a framework to continue the BOON-GS long after the Ocean Science Decade.


2010 ◽  
Vol 44 (6) ◽  
pp. 65-72 ◽  
Author(s):  
Katy Hill ◽  
Tim Moltmann ◽  
Roger Proctor ◽  
Simon Allen

AbstractThe Integrated Marine Observing System (IMOS) has been established with Australian federal government funding, bringing together universities and marine agencies from across the nation to deliver a sustained observing system for Australia. It is led by the University of Tasmania on behalf of the marine and climate science community, with 10 different organizations operating components of the system based on their institutional strengths and capabilities. The system’s primary goal is to provide information in support of marine and climate science; however, as all IMOS data are discoverable and freely available through the Internet-based Ocean Portal, the system has the potential to support decision making in many other areas of marine management. IMOS has become the cornerstone of Australia’s contribution to the Global Ocean Observing System and plays a leading role in the development of observing systems in the Southern Hemisphere. This article will outline how IMOS works, with an emphasis on the key principles of (i) national, science-driven planning and (ii) delivery of data streams as research infrastructure. It will also highlight recent achievements and challenges for the future. Although it is still in its “early days,” indications are that IMOS is revolutionizing ocean observing in Australia and is laying a platform for the delivery of sustained observations over the very long term.


2003 ◽  
Vol 37 (3) ◽  
pp. 115-123 ◽  
Author(s):  
George Zodiatis ◽  
Robin Lardner ◽  
Georgios Georgiou ◽  
Encho Demirov ◽  
Giuseppe Manzella ◽  
...  

The countries surrounding the Mediterranean Sea have joined together in several multinational initiatives to conduct long-term, integrated, operational oceanographic observations and modelling of this important region. Some of these initiatives and the country members involved are discussed in this paper. Particular emphasis is given to long-term observing systems and modelling conducted in the Eastern Mediterranean Levantine Basin and the region around the island of Cyprus. A complete operational oceanographic forecasting and observing system has been developed in Cyprus, and has been operational since early 2002. The system is called CYCOFOS—Cyprus Coastal Ocean Forecasting and Observing System—and is a component of the Global Ocean Observing System (GOOS), and its European (EuroGOOS) and Mediterranean (MedGOOS) modules. CYCOFOS is the result of several years of research activities all carried out within the framework of European Union-funded projects including: (1) Mediterranean forecasting system, both pilot project and towards environmental predictions (MFSPP and MFSTEP), (2) Mediterranean network to Access and upgrade Monitoring and forecasts Activities in the region (MAMA), (3) European Sea level Service Research Infrastructure (ESEAS-RI), (4) Mediterranean network of Global sea Level Observing System (MedGLOSS), and (5) Marine Environment and Security in the European Areas (MERSEA strand 1). CYCOFOS at present consists of several operational modules, including flow and offshore waves forecasts, satellite remote sensing, coastal monitoring stations and end user-derived applications. All these operational modules provide regular near-real-time information, both to local and sub-regional end users in the Eastern Mediterranean Levantine Basin. This paper discusses these as well as additional ocean observation stations and features soon to be added to CYCOFOS.


Polar Record ◽  
2001 ◽  
Vol 37 (203) ◽  
pp. 315-328 ◽  
Author(s):  
Dyanna Riedlinger ◽  
Fikret Berkes

AbstractDespite much scientific research, a considerable amount of uncertainty exists concerning the rate and extent of climate change in the Arctic, and how change will affect regional climatic processes and northern ecosystems. Can an expanded scope of knowledge and inquiry augment understandings of climate change in the north? The extensive use of the land and the coastal ocean in Inuit communities provides a unique source of local environmental expertise that is guided by generations of experience. Environmental change associated with variations in weather and climate has not gone unnoticed by communities that are experiencing change firsthand. Little research has been done to explore the contributions of traditional knowledge to climate-change research. Based in part on a collaborative research project in Sachs Harbour, western Canadian Arctic, this paper discusses five areas in which traditional knowledge may complement scientific approaches to understanding climate change in the Canadian Arctic. These are the use of traditional knowledge as local-scale expertise; as a source of climate history and baseline data; in formulating research questions and hypotheses; as insight into impacts and adaptation in Arctic communities; and for long-term, communitybased monitoring. These five areas of potential convergence provide a conceptual framework for bridging the gap between traditional knowledge and western science, in the context of climate-change research.


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