C3.01: The Global Ocean Forecasting Initiative GODAE OceanView - Andreas Schi...Blue Planet Symposium
The GODAE Ocean View (GOV) Science Team is the international body that coordinates global (and regional) scientific efforts in the rapidly growing area of ocean forecasting and analyses, and supports the research, development and operational implementation of physical, biogeochemical and ecosystem ocean forecasting systems (www.godae-oceanview.org). The group represents both academic and operational teams focusing on daily-to-weekly ocean forecasting capabilities, and the ways to build and improve them. The enhancements of the observing, modelling, and end-to-end service capacity are key issues for GOV, together with sustainability concerns. The objectives of the GOV Science Team are closely aligned with the World Weather Research Program, via the WMO-IOC Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM), their work plans and targets.
The Science Team activities are driven by dedicated task teams that focus on critical scientific aspects in terms of understanding and improving ocean monitoring and forecasting systems, covering data assimilation, intercomparison and validation of operational systems, observing system evaluation, coastal ocean and shelf seas, coupled (ocean-atmosphere-wave-sea ice) initialisation and prediction, and marine biogeochemical and ecosystem prediction. The goals and structure of the GODAE OceanView Program will be presented along with an overview of present GODAE OceanView reanalyses and operational ocean forecasting systems. These systems include global and regional domains resolved with very high spatial resolution. Examples of the development of ocean data assimilation methods, including sensitivity studies of the ocean analysis to investigate the relative importance of in situ data and remote sensing data will be shown. The presentation concludes with examples of applications in support of safety of life and property at sea and in coastal areas, risk management for ocean- based economic/commercial/industrial activities and the control of marine pollution.
C3.01: The Global Ocean Forecasting Initiative GODAE OceanView - Andreas Schi...Blue Planet Symposium
The GODAE Ocean View (GOV) Science Team is the international body that coordinates global (and regional) scientific efforts in the rapidly growing area of ocean forecasting and analyses, and supports the research, development and operational implementation of physical, biogeochemical and ecosystem ocean forecasting systems (www.godae-oceanview.org). The group represents both academic and operational teams focusing on daily-to-weekly ocean forecasting capabilities, and the ways to build and improve them. The enhancements of the observing, modelling, and end-to-end service capacity are key issues for GOV, together with sustainability concerns. The objectives of the GOV Science Team are closely aligned with the World Weather Research Program, via the WMO-IOC Joint Technical Commission for Oceanography and Marine Meteorology (JCOMM), their work plans and targets.
The Science Team activities are driven by dedicated task teams that focus on critical scientific aspects in terms of understanding and improving ocean monitoring and forecasting systems, covering data assimilation, intercomparison and validation of operational systems, observing system evaluation, coastal ocean and shelf seas, coupled (ocean-atmosphere-wave-sea ice) initialisation and prediction, and marine biogeochemical and ecosystem prediction. The goals and structure of the GODAE OceanView Program will be presented along with an overview of present GODAE OceanView reanalyses and operational ocean forecasting systems. These systems include global and regional domains resolved with very high spatial resolution. Examples of the development of ocean data assimilation methods, including sensitivity studies of the ocean analysis to investigate the relative importance of in situ data and remote sensing data will be shown. The presentation concludes with examples of applications in support of safety of life and property at sea and in coastal areas, risk management for ocean- based economic/commercial/industrial activities and the control of marine pollution.
Addressing Climate Change through Engineering PracticeRobert Muir
Climate Change Training Session for Municipal and Conservation Authority Engineers, Planners and Decision Makers.
Toronto - 26 April 2017
Presented by Hani Farghaly, PhD., P.Eng.
Ontario Ministry of Transportation
This comprehensive review of highway drainage infrastructure resiliency under climate change indicates that impacts to storm sewers, roadway drainage surfaces, and culverts is limited with projected climate change effects.
"Using step-by-step Bayesian updating to better estimate the reinforcement lo...TRUSS ITN
Probabilistic assessment of ageing structures has become an important research area as it attracts the interest from not only researchers but also investors, municipalities, and governments. The most commonly used material for many important structures and infrastructure is reinforced concrete. Various degradations of such structures are manifest in the form of direct loss of reinforcement area. In this study, a time-dependent stochastic model of the reinforcement loss (in [%]) due to corrosion is presented, which has a crucial role in the estimation of the lifetime and the time-dependent health state of the structure. Bayesian updating is applied in multiple steps during the lifetime of the structure in order to improve the estimate of the reinforcement loss. An example application is shown where updating is applied in two steps.
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
Presentation on the examination of microbiological data for assessment and trending.
Includes: normalizing data, graphs, and assessment of alert and action levels.
Professor Richard Eckard's extensive presentation details a host of event and organisations geared around understanding greenhouse gases in agriculture and working towards an adaptive, productive future.
Dr Graeme Anderson from Victoria's Department of Economic Development, Jobs, Transport and Resources, speaks about seasonal risk and gaining the mindset for adaptation.
More Related Content
Similar to Dr Andrew Watkins - Improved seasonal forecast service
Addressing Climate Change through Engineering PracticeRobert Muir
Climate Change Training Session for Municipal and Conservation Authority Engineers, Planners and Decision Makers.
Toronto - 26 April 2017
Presented by Hani Farghaly, PhD., P.Eng.
Ontario Ministry of Transportation
This comprehensive review of highway drainage infrastructure resiliency under climate change indicates that impacts to storm sewers, roadway drainage surfaces, and culverts is limited with projected climate change effects.
"Using step-by-step Bayesian updating to better estimate the reinforcement lo...TRUSS ITN
Probabilistic assessment of ageing structures has become an important research area as it attracts the interest from not only researchers but also investors, municipalities, and governments. The most commonly used material for many important structures and infrastructure is reinforced concrete. Various degradations of such structures are manifest in the form of direct loss of reinforcement area. In this study, a time-dependent stochastic model of the reinforcement loss (in [%]) due to corrosion is presented, which has a crucial role in the estimation of the lifetime and the time-dependent health state of the structure. Bayesian updating is applied in multiple steps during the lifetime of the structure in order to improve the estimate of the reinforcement loss. An example application is shown where updating is applied in two steps.
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
Presentation on the examination of microbiological data for assessment and trending.
Includes: normalizing data, graphs, and assessment of alert and action levels.
Professor Richard Eckard's extensive presentation details a host of event and organisations geared around understanding greenhouse gases in agriculture and working towards an adaptive, productive future.
Dr Graeme Anderson from Victoria's Department of Economic Development, Jobs, Transport and Resources, speaks about seasonal risk and gaining the mindset for adaptation.
Dr Peter Hayman from the South Australian Research and Development Institute explains the necessity of scientific uncertainty and looks at some applied decision-making tools to mitigate it. He also explores the exciting POAMMA model.
Dr Glenn Fitzgerald, from Victoria's Department of Economic Development, Jobs, Transport and Resources explores the potential for opportunity in agriculture moving into an environment with increased carbon dioxide. He looks at different grain varieties and even invites us to see the view from an unmanned aerial vehicle.
The United Nations Sustainable Development Goals (SDGs) are a set of goals to end poverty and hunger and sustain the environment.
Drafted by 70 nations and currently being discussed in the UN General Assembly, these goals will guide social policy and investments for decades to come.
The International Water Management Institute believes that the key to the goals being achieved lies in how they approach water management.
We worked with managers and researchers from the institute and the institute’s partners to write the 56-page booklet: On Target for People and Planet: Setting and Achieving Water-Related Sustainable Development Goals.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
The Evolution of Science Education PraxiLabs’ Vision- Presentation (2).pdfmediapraxi
The rise of virtual labs has been a key tool in universities and schools, enhancing active learning and student engagement.
💥 Let’s dive into the future of science and shed light on PraxiLabs’ crucial role in transforming this field!
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
Dr Andrew Watkins - Improved seasonal forecast service
1. Dr. Andrew Watkins (abw@bom.gov.au)
MCV Climate Week 17 November 2015
Improved Seasonal Forecast Service
Climate Outlooks now and in the future
2. The Bureau's Climate Prediction service
• ENSO Wrap Up
• ENSO Tracker
• Model Summary
• Weekly Tropical Climate Note
• Tropical Cyclone outlook
• Northern Rainfall Onset
• Seasonal Outlooks
• Videos
• Briefings/engagement/ministerials/high level advice
3. • 5% of GDP ($58B) exposed to annual climate variability
• Bureau (and climate science can influence Australia’s ability to respond
effectively
• Potential value of climate forecasts is >$1.5B
• Departures from “normal” are increasing due to global warming
The Bureau's Climate Outlook service
4. 1996
The Climate Outlook service – Seasonal Outlook
http://www.bom.gov.au/climate/outlooks/ 1989-now
1989 2015
5. The Climate Outlook service – Seasonal Outlook
http://www.bom.gov.au/climate/outlooks/
• Temperature and rainfall
• Can add more variables
• Model is reliable
• Engaging and intuitive
• Large user base
• Operationally supported
• State of the art/science
6. Skill of the model – seasonal (rainfall)
Lead time 10 days [Multiple lead times possible 0-50days, 5 day increments]
Hindcast Forecast
7. Skill of the model – monthly (rainfall)
Lead time 10 days [Multiple lead times possible 0-50days, 5 day increments]
Hindcast Forecast
8. Skill of the model – fortnightly (rainfall)
Lead time 0 days
Hindcast Forecast
9. Skill of the model – seasonal (rainfall) vs statistical
Lead time 10 days [Multiple lead times possible 0-50days, 5 day increments]
System Period BSS REL RES PC
Statistical 1981-2010 0.3% 0.0028 0.0028 51.7% (45.4,58.1)
POAMA-lagged (10 day) 1981-2010 5.2% 0.0015 0.014 54.0% (53.0,69.2)
Statistical 2000-2011 2.7% 0.0022 0.0078 58.3% (47.8,68.7)
POAMA-lagged (10 day) 2000-2011 5.0% 0.0049 0.017 64.0% (47.5,78.7)
Statistical 1950-1979 1.3% 0.00035 0.00338 51.2% (45.5-56.2)
Statistical 1950-1999 0.55% 0.00095 0.00228 50.3% (45.9-54.8)
Statistical 1980-1999 -0.77% 0.00385 0.00173 49.1% (41.9-56.7)
Charles et al., (2015)
10. Areas for improvement…
• Coarse 250km grid resolution
• Limited compatibility with decision support models
• No explicit climate change signal
• Gap between days and months
• Skill remains modest
• Model differs from weather model
11. SEASONAL
OUTLOOKSBETTER
Finer
model detail
More outlook
periods
Higher outlook
skill
World class
service
Bigger user
returns
Moving from
250 km to 60 km
resolution
meaning
more localised information
by accounting for local
conditions
Australia:120 to
2000 grid points
Seamless: filling
the gap between
7-day and monthly
outlooks
Outlooks
updated
weekly
Season
Month
Fortnight
Week
Likely 10% improvement
in outlook accuracy
meaning
the best outlooks for Australia
of all international models
meaning
information is clear, concise and
available when and where you need it
+
Not only
rainfall and
temperature
More intelligence possible:
• Evaporation
• Humidity
• Wind
• Drought
• Extremes
• Tropical Cyclones
Reduce losses: agricultural
production lost from 2010-11 La Niña:
More than $2 billion
Potential value of improved
seasonal forecasts:
More than $1 billion per year
ABARES Centre for International Economics 2014
13. Improved resolution
• Resolution improves from 250 km to 60 km
• Resolves the Great Dividing Range, Tasmania, WA Darling Ranges, Pilbara (Tom Price)
Metress
14. Better model climate
• Able to provide more realistic climate patterns
• Link to decision support tools (e.g., fire models, crop models etc)
August Mean Rainfall
POAMA-2 Observations ACCESS-S
mm/dayy
15. Better model climate
• Able to provide more realistic climate patterns
• Link to decision support tools (e.g., fire models, crop models etc)
August Mean Rainfall
POAMA-2 Observations ACCESS-S
mm/day
16. Better model climate
• Able to provide more realistic weather sequences/climate patterns
• Link to decision support tools (e.g., fire models, crop models etc)
mm/day
17. More accurate outlooks
• Early testing shows improved accuracy for rainfall
• Better predictions of El Niño / La Niña
NINO3.4: all start months
El Niño forecast accuracyRainfall forecast accuracy
New
model
18. Heat extremes case studies
September 2013
Monthly temperature forecast
Source: ABC online
20. Where to next?
• 2015: Obtain feedback on current service and priorities for improvement
→ Develop service solutions
• 2016: Test deployment of new model
• 2017: First deployment of new outlook service (including multi-week)
• 2018: Further upgrade to model (physics, initial conditions)
• 2019: New outlooks service deployed