This document discusses how energy from the sun interacts with the atmosphere and Earth's surface. Solar radiation enters the atmosphere and is scattered, refracted, reflected, or absorbed. Atmospheric gases and particles influence these processes. Absorbed radiation is transferred within the atmosphere and at the surface via conduction, convection, and radiation. Greenhouse gases in the atmosphere and clouds contribute to the greenhouse effect by trapping infrared radiation emitted from the surface. The surface and atmospheric energy budgets describe the distribution of solar energy after it passes through the atmosphere and reaches the Earth's surface.
Earth's energy budget refers to the tracking of how much energy is flowing into and out of the Earth's climate, where the energy is going, and if the energy coming in balances with the energy going out. The Earth receives energy from the Sun, and it also reflects and radiates energy back into space. All of the energy that warms the atmosphere, oceans and land must be radiated back into space in order to maintain our current climate. If the amount of energy radiating back into space is decreased by even a very small amount, it can lead to warming. It is believed that increasing levels of carbon dioxide in the atmosphere has a 'greenhouse effect' of reducing the amount of energy radiated into space.
Earth's energy budget refers to the tracking of how much energy is flowing into and out of the Earth's climate, where the energy is going, and if the energy coming in balances with the energy going out. The Earth receives energy from the Sun, and it also reflects and radiates energy back into space. All of the energy that warms the atmosphere, oceans and land must be radiated back into space in order to maintain our current climate. If the amount of energy radiating back into space is decreased by even a very small amount, it can lead to warming. It is believed that increasing levels of carbon dioxide in the atmosphere has a 'greenhouse effect' of reducing the amount of energy radiated into space.
deals with temperature, density, pressure, winds and humidity parameters of the atmosphere; Prssure gradient force, coriolis force, gravity force and friction force and winds and currents, ; pressure lows and highs, atmospheric circulation, winds.
The greenhouse effect is a process by which thermal radiation from a planetary surface is absorbed by atmospheric greenhouse gases, and is re-radiated in all directions.
What is greenhouse effect ?
Is greenhouse effect have a serious impact on human health?
What we have to do to reduce the greenhouse effect ?
This simple presentation helps to understand the basic facts about greenhouse effect.
The environmental lapse rate - temperature drop with altitude - in the troposphere; that is the temperature of the environment at different altitudes.
deals with temperature, density, pressure, winds and humidity parameters of the atmosphere; Prssure gradient force, coriolis force, gravity force and friction force and winds and currents, ; pressure lows and highs, atmospheric circulation, winds.
The greenhouse effect is a process by which thermal radiation from a planetary surface is absorbed by atmospheric greenhouse gases, and is re-radiated in all directions.
What is greenhouse effect ?
Is greenhouse effect have a serious impact on human health?
What we have to do to reduce the greenhouse effect ?
This simple presentation helps to understand the basic facts about greenhouse effect.
The environmental lapse rate - temperature drop with altitude - in the troposphere; that is the temperature of the environment at different altitudes.
Remote Sensing Methods for operational ET determinations in the NENA region, ...NENAwaterscarcity
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Workshop on Operationalizing the Regional Collaborative Platform to Address âWater Consumption, Water Productivity and Drought Managementâ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
Capacity Enhancement of Ammonia Production By The Revamping of Ammonia.
In this project, we find conversion and temperature profile of a two catalyst bed with one interbed heat exchanger ammonia converter and a three catalyst bed with two interbed heat exchanger ammonia converter both have radial flow by using a pseudo homogeneous two dimensional mathematical model on the basis of principle of conservation of mass and energy balance with the help of MATLAB pde solver.We conclude that a three catalyst bed ammonia converter give a higher conversion and lower pressure drop compare to the two catalyst bed ammonia converter for the same volume of catalyst bed and same amount of feed stock.
05.12.09(a): Energy Balance and ObesityOpen.Michigan
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Slideshow is from the University of Michigan Medical
School's M1 Human Growth and Development sequence
View additional course materials on Open.Michigan:
openmi.ch/med-M1GrowthDevelopment
Dev Dives: Train smarter, not harder â active learning and UiPath LLMs for do...UiPathCommunity
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đĨ Speed, accuracy, and scaling â discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Miningâĸ:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing â with little to no training required
Get an exclusive demo of the new family of UiPath LLMs â GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
đ¨âđĢ Andras Palfi, Senior Product Manager, UiPath
đŠâđĢ Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
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A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. Whatâs changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But thereâs more:
In a second workflow supporting the same use case, youâll see:
Your campaign sent to target colleagues for approval
If the âApproveâ button is clicked, a Jira/Zendesk ticket is created for the marketing design team
Butâif the âRejectâ button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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As AI technology is pushing into IT I was wondering myself, as an âinfrastructure container kubernetes guyâ, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefitâs both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
âĸ The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
âĸ Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
âĸ Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
âĸ Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
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The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
3. Energy BudgetEnergy Budget
īŽ Open Systems model: ShortwaveOpen Systems model: Shortwave
Energy in, Longwave Energy outEnergy in, Longwave Energy out
īŽ The Energy Budget describes whatThe Energy Budget describes what
happens to insolation after it passes thehappens to insolation after it passes the
thermopause, passes through thethermopause, passes through the
atmosphere and reaches the surface.atmosphere and reaches the surface.
īŽ Atmospheric effectsAtmospheric effects
īŽ Ground effectsGround effects
4. Insolation-AtmosphereInsolation-Atmosphere
InteractionInteraction
īŽ Refers to what happens after the interceptedRefers to what happens after the intercepted
solar radiationsolar radiation entersenters the atmospherethe atmosphere
īŽ TransmissionTransmission
īŽ Both short and long wave radiationBoth short and long wave radiation
īŽ As light encounters gas molecules andAs light encounters gas molecules and
particulates in the atmosphere, the pathwayparticulates in the atmosphere, the pathway
that the light follows changesthat the light follows changes
īŽ Diffusion (scattering)Diffusion (scattering)
īŽ RefractionRefraction
īŽ ReflectionReflection
īŽ AbsorptionAbsorption
5. DiffusionDiffusion
īŽ The Sunâs rays are essentially parallelThe Sunâs rays are essentially parallel
as they reach the Earthâs surface.as they reach the Earthâs surface.
īŽ As they encounter various particles inAs they encounter various particles in
the atmosphere, some light rays arethe atmosphere, some light rays are
bounced in all the different directions.bounced in all the different directions.
īŽ Diffusion, or scatteringDiffusion, or scattering
īŽ Some light scattered back into space (7%)Some light scattered back into space (7%)
īŽ Some light scattered to the Earthâs surfaceSome light scattered to the Earthâs surface
(20%)(20%)
īŽ Diffusion increases as sun angleDiffusion increases as sun angle
decreasesdecreases
7. RefractionRefraction
īŽ Occurs when light passes from one mediumOccurs when light passes from one medium
to anotherto another
īŽ From air to water dropletsFrom air to water droplets
īŽ From air masses of varying temperature andFrom air masses of varying temperature and
densitydensity
īŽ Light ray slows and changes directionLight ray slows and changes direction
īŽ Short wavelengths are refracted more than longShort wavelengths are refracted more than long
wavelengthswavelengths
īŽ Breaks light into a spectrum; rainbowsBreaks light into a spectrum; rainbows
īŽ Convection currents in the air (rising hot air)Convection currents in the air (rising hot air)
cause refraction, creating a shimmery distortioncause refraction, creating a shimmery distortion
īŽ miragesmirages
11. ReflectionReflection
īŽ Light that bounces off a surfaceLight that bounces off a surface
īŽ AlbedoAlbedo refers to the amount of light reflectedrefers to the amount of light reflected
back to spaceback to space
īŽ 31% of incoming sunlight is reflected31% of incoming sunlight is reflected
īŽ 21% by clouds21% by clouds
īŽ 7% by diffuse scattering7% by diffuse scattering
īŽ 3% by the Earthâs surface3% by the Earthâs surface
īŽ Mainly short wave radiationMainly short wave radiation
īŽ Factors that increase albedoFactors that increase albedo
īŽ Light colorLight color
īŽ Smooth surfacesSmooth surfaces
īŽ Low sun angleLow sun angle
14. AbsorptionAbsorption
īŽ Light that is not part of Earthâs albedoLight that is not part of Earthâs albedo
īŽ Light that is assimilated by matter (69%)Light that is assimilated by matter (69%)
īŽ Ozone in the stratosphere (3%)Ozone in the stratosphere (3%)
īŽ Clouds (3%)Clouds (3%)
īŽ Atmospheric gases and dust (18%)Atmospheric gases and dust (18%)
īŽ Earthâs surface (45%)Earthâs surface (45%)
īŽ Including photosynthesisIncluding photosynthesis
īŽ Causes the matter to increase inCauses the matter to increase in
temperaturetemperature
īŽ short wave energy is converted to long waveshort wave energy is converted to long wave
(infrared)(infrared)
īŽ including respirationincluding respiration
15. īŽ Absorbed heat energy can be transferred inAbsorbed heat energy can be transferred in
the atmospherethe atmosphere
īŽ Heat energy flows from high to low heatHeat energy flows from high to low heat
īŽ conductionconduction
īŽ transfer of heat energy between two objects throughtransfer of heat energy between two objects through
physical contactphysical contact
īŽ Phase changes: Latent heatPhase changes: Latent heat
īŽ convectionconvection
īŽ occurs in mobile media (liquids, gases)occurs in mobile media (liquids, gases)
īŽ currents: molecules near heat source rise (and cool)currents: molecules near heat source rise (and cool)
while cooler molecules fall (and become heated)while cooler molecules fall (and become heated)
īŽ advectionadvection
īŽ similar to convection, but occurs horizontallysimilar to convection, but occurs horizontally
īŽ radiationradiation
īŽ heat transmitted as infrared radiationheat transmitted as infrared radiation
16. Greenhouse EffectGreenhouse Effect
īŽ CloudsClouds
īŽ Are variable in coverAre variable in cover
īŽ Exert tremendous influence on energy budgetExert tremendous influence on energy budget
īŽ Increase albedo (albedo forcing)Increase albedo (albedo forcing)
īŽ Increase greenhouse warming (greenhouse forcing)Increase greenhouse warming (greenhouse forcing)
īŽ Certain gases in clouds absorb and reradiate infrared radiationCertain gases in clouds absorb and reradiate infrared radiation
īŽ Carbon dioxide, water vapor, methaneCarbon dioxide, water vapor, methane
īŽ Creates an insulating effectCreates an insulating effect
īŽ Different cloud types affect the greenhouse effectDifferent cloud types affect the greenhouse effect
differentlydifferently
īŽ High thin clouds allow more diffuse light through, causingHigh thin clouds allow more diffuse light through, causing
more heat to be trapped (net greenhouse forcing)more heat to be trapped (net greenhouse forcing)
īŽ Low thick clouds reflect more light out, causing less heatLow thick clouds reflect more light out, causing less heat
to be trapped (net albedo forcing)to be trapped (net albedo forcing)
īŽ The greenhouse effect has been identified as theThe greenhouse effect has been identified as the
main cause of global warmingmain cause of global warming
24. īŽ Surface Radiation BalanceSurface Radiation Balance
īŽ Refers to 45% of insolation that reachesRefers to 45% of insolation that reaches
the Earthâs surfacethe Earthâs surface
īŽ Daily PatternDaily Pattern
īŽ Insolation peaks at noonInsolation peaks at noon
īŽ varies seasonally, with maximum on the summervaries seasonally, with maximum on the summer
solsticesolstice
īŽ Absorbing the insolation heats the ground,Absorbing the insolation heats the ground,
which in turn heats the airwhich in turn heats the air
īŽ Maximum air temperature reached between 3-4 pmMaximum air temperature reached between 3-4 pm
īŽ Minimum air temperature reached around dawnMinimum air temperature reached around dawn