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.
Physical Geography Lecture 07 - Clouds and Transfer of Latent Heat 102616angelaorr
Global water budget. Hydrologic cycle. Residence time. Latent Heat Transfer diagram. Saturation. Factors affecting rate of evaporation. Vapor pressure. Relative Humidity. Dew point. The adiabatic process. DAR, LCL, latent heat of condensation, SAR. Stable vs Unstable air. Clouds. Fog. Dew.
Air pressure. Relationships between pressure, density, and temperature (confined vs. unconfined gases). Measuring air pressure. Isobars. The pressure gradient force. Wind. Convection cell diagram. Out of the high, into the low. Local winds (sea/land breezes, mountain/valley breezes, Chinook/Santa Ana winds).
Physical Geography Lecture 05 - Atmospheric Energy and Global Temps 101216angelaorr
Net radiation. Hypothetical radiation balance. Albedo, Conduction, Convection, Counterradiation. The Greenhouse Effect. Redistribution of energy. Sensible heat vs. Latent heat. Temperature lags. Factors influencing differences in global temperature. Review.
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.
Physical Geography Lecture 07 - Clouds and Transfer of Latent Heat 102616angelaorr
Global water budget. Hydrologic cycle. Residence time. Latent Heat Transfer diagram. Saturation. Factors affecting rate of evaporation. Vapor pressure. Relative Humidity. Dew point. The adiabatic process. DAR, LCL, latent heat of condensation, SAR. Stable vs Unstable air. Clouds. Fog. Dew.
Air pressure. Relationships between pressure, density, and temperature (confined vs. unconfined gases). Measuring air pressure. Isobars. The pressure gradient force. Wind. Convection cell diagram. Out of the high, into the low. Local winds (sea/land breezes, mountain/valley breezes, Chinook/Santa Ana winds).
Physical Geography Lecture 05 - Atmospheric Energy and Global Temps 101216angelaorr
Net radiation. Hypothetical radiation balance. Albedo, Conduction, Convection, Counterradiation. The Greenhouse Effect. Redistribution of energy. Sensible heat vs. Latent heat. Temperature lags. Factors influencing differences in global temperature. Review.
Review of last week's lecture. Air's composition. Particulates. Vertical structure of the atmosphere. Conduction, ELR, ozone. Review of today's material.
Review of last week's lecture. Air's composition. Particulates. Vertical structure of the atmosphere. Conduction, ELR, ozone. Review of today's material.
Upon the completion of this chapter, you will be able to:
Distinguish between weather and climate,
Explain the place to place distribution of temperature and rainfall in Ethiopia,
explain the time to time patterns of temperature and rainfall in Ethiopia,
Analyze climate and its implications on biophysical and socioeconomic aspects,
identify the causes, consequences and response mechanisms of climate change.
5.1 The concept of weather and climate
Both weather and climate are concepts about atmospheric conditions. The basic difference on them is duration and areal coverage.
Weather is atmospheric condition observed in a very specific area with a short term fluctuation, while
Climate is a prolonged(30-35years) atmospheric condition observed in a relatively wider geographic area.
Weather condition likely changed hour to hour, in a daily base or weakly but climate is relatively permanent.
Elements of Weather and Climate
Elements(components) of weather and climate are the following variables
Atmospheric temperature (how cold or hot is the atmosphere)
Precipitation (any kind of moisture falling from the atmosphere to the ground, mostly rainfall)
Air pressure (the weight exerted by the air)
Humidity (the level or proportion of water vapor within the atmosphere)
Sunshine (the duration and intensity of solar heat as well as light)
Wind (horizontal motion of air)
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Convective storms in Europe: a look back at COPS and CSIPAndrew Russell
A seminar given at RMS in London on 16th March on the main results from the Convective Storm Initiation Project (CSIP) and the Convective and Orographically-induced Precipitation Study (COPS).
Current Applications for an Array of Water Level Gauge StationsEdwin Alfonso-Sosa
Presentation at The IV Caribe EWS Short Course on Sea Level, Station Installation, Maintenance, and Leveling, Quality Control and Data Analysis, University of Puerto Rico, Mayaguez, November 6, 2014.
diurnal temperature range trend over North Carolina and the associated mechan...Sayem Zaman, Ph.D, PE.
This study seeks to investigate the variability and presence of trends in the diurnal surface air temperature range
(DTR) over North Carolina (NC) for the period 1950–2009. The significance trend test and the magnitude of trends were determined using the non-parametric Mann–Kendall test and the Theil–Sen approach, respectively.
Statewide significant trends (p b 0.05) of decreasing DTR were found in all seasons and annually during the analysis period. The highest (lowest) temporal DTR trends of magnitude −0.19 (−0.031) °C/decade were found in summer (winter). Potential mechanisms for the presence/absence of trends in DTR have been highlighted. Historical
data sets of the three main moisture components (precipitation, total cloud cover (TCC), and soil moisture) and
the two major atmospheric circulation modes (North Atlantic Oscillation and Southern Oscillation) were used for
correlation analysis. The DTRs were found to be negatively correlated with the precipitation, TCC, and soil moisture across the state for all the seasons and annual basis. It appears that the moisture components related better to the DTR than to the atmospheric circulation modes.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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 there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” 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
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s 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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, 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 benefit’s 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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
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 – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – 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:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Satellite Observations Of Rainfall And Water Vapor
1. Satellite Observations of Rainfall and Water Vapor Kelly Howell with Tom Vonder Haar and Stan Kidder Cooperative Institute for Research in the Atmosphere March 10, 2011
2.
3. September 5, 2008 at 00 UTC Areas with elevated TPW are often associated with instances of rainfall. Hurricane Ike
6. General Circulation Patterns (a) Tropical atmosphere expands, polar atmosphere contracts, causing air to flow poleward at the upper levels (b) Redistribution of mass causes high pressure at poles, low pressure in tropics, causing equatorward flow at the surface (c) Coriolis force imparts a westward component to the equatorward flow and an eastward component to the poleward flow (d) Spontaneous instability imparts a wave-like character to the eastward flow in the midlatitudes Source: Wallace, J. M. and P. V. Hobbs, 2006: Atmospheric Science: An Introductory Survey. Elsevier Inc. , 483 pp.
7. Angular Momentum When an air parcel moves closer to the axis of rotation (i.e., poleward), the relative eastward velocity must increase to conserve angular momentum When an air parcel moves farther from the axis of rotation (i.e., equatorward), the relative westward velocity must increase to conserve angular momentum
8.
9. September 5, 2008 at 00 UTC Oceanic Deserts Midlatitudes Subtropics Tropics Subtropics Midlatitudes West Pacific Warm Pool SPCZ ITCZ
20. Radiation Along a Path Material absorbs radiation Material emits radiation Other radiation is scattered into path Material scatters radiation out of path
25. Annual Mean TPW The global mean TPW is 24.94 mm, with a maximum of approximately 45 mm just north of the equator.
26. Seasonal Mean TPW The seasonal TPW distributions are similar to previous findings, with the SPCZ extending its farthest eastward during DJF and TPW highs around southeast Asia during the JJA monsoon period. The presence of a double ITCZ can be detected in the eastern tropical Pacific during MAM.
27. Annual Mean RR in mm day -1 Source: Xie, P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc. , 78 , 2539-2558. Surface Type (CMORPH) RR [mm day -1 ] Ocean 2.68 Land 2.57 All Surfaces 2.63 Surface Type (CMAP) RR [mm day -1 ] Ocean 3.02 Land 1.86 Globe 2.69
28. Annual Mean RR in mm year -1 The zonal mean RR distribution over land is fairly symmetric, while the oceanic distribution peaks in the tropics and has secondary peaks in the midlatitudes. Latitude (degrees N)
29. Annual Mean Rainfall Frequency The zonal distributions of rainfall frequency are analogous to the zonal distributions of rainfall. Overall, the oceans receive rain more frequently than land surfaces, but land surfaces receive heavy rain more frequently than ocean surfaces. Latitude (degrees N) Rainfall frequency = 100× 0.07 % 0.03 % 10.0 mm hr -1 0.34 % 0.27 % 5.0 mm hr -1 RR Threshold 8.58 % 11.04 % 0.1 mm hr -1 Land Ocean Surface Type
30. Seasonal Mean RR in mm month -1 Seasonal mean rainfall estimates from CMORPH are similar to previous findings (Ferraro et al. 1996). The NH and SH land areas show large changes between DJF and JJA: the winter hemisphere’s land areas receive very little rainfall.
31. Seasonal Mean Rainfall Frequency Rainfall frequency maximizes in the expected areas: the ITCZ, SPCZ, and eastern storm tracks. Rain falls infrequently in desert regions. Using the 0.1 mm hr -1 threshold, quasi-global frequencies hover around 10%. Season 0.1 mm hr -1 0.5 mm hr -1 1.0 mm hr -1 DJF 10.31 % 4.88 % 2.76 % MAM 10.30 % 4.79 % 2.76 % JJA 10.17 % 5.00 % 2.92 % SON 10.09 % 4.95 % 2.88 %
33. TPW Threshold for Rainfall? Time series of (a) RR in mm hr -1 , (b) TPW in mm, and (c) global solar radiation at the Koto Tabang GPS station on Sumatra Island during JJA 2001. Rainfall does not tend to occur at times with relatively low TPW. Source: Wu, P., J.-I. Hamada, S. Mori, Y. I. Tauhid, M. D. Yamanaka, and F. Kimura, 2003: Diurnal variation of precipitable water over a mountainous area of Sumatra Island. J. Appl. Meteorol. , 42 , 1107-1115.
34. Regional Studies The following plots were constructed using the data at each of these grid points analyzed over all 35 months. Location Longitude Latitude East of Florida 70 o W 30 o N Indian Ocean 75 o E 8 o S East of Japan 142 o E 35 o N South of Panama 83 o W 4 o N South Atlantic Ocean 22 o W 45 o S North Atlantic Ocean 30 o W 50 o N West Pacific 155 o E 6 o N Southeastern Pacific 120 o W 8 o S SPCZ 170 o E 10 o S
35. TPW Distributions Annual mean TPW is highly variable in the midlatitude location, relatively high in the tropical location, and relatively low in the oceanic desert location. TPW (mm) Location Mean TPW East of Florida 30.66 mm West Pacific 54.28 mm Southeastern Pacific 29.62 mm
36. RR Distributions Equation of exponential decay. A more negative slope indicates a faster rate of decay (i.e., there are relatively few heavy rain events). More negative slopes tend to be associated with lower rainfall frequencies. RR [mm hr -1 ] Location Slope of Fit Rainfall Frequency East of Florida -0.58 11.11 % West Pacific -0.516 31.20 % Southeastern Pacific -1.556 2.29 %
37. RR vs TPW The shapes of these distributions approximate the TPW distributions. In general, the higher RRs occur at the more frequently occurring TPW values. However, this is not the case in the southeastern Pacific, where the highest RRs occur at higher TPW values. TPW (mm)
38. Probability of Rainfall RR ≥ 0.1 mm hr -1 RR ≥ 3.0 mm hr -1 Higher-intensity rainfall is less likely at lower TPW values. TPW (mm)
40. RR Distribution by TPW Range At higher TPW values, rainfall is more probable and there is a higher proportion of heavier rainfall. RR [mm hr -1 ] TPW Range Probability of Rainfall 0-15 mm 2.34 % 15-30 mm 7.64 % 30-45 mm 16.59 % 45-60 mm 29.89 % 60-75 mm 45.89 %
41. RR Distribution by TPW Range The RR distributions are not strictly exponential, but an exponential fit is a consistent representation of the distribution. Steeper slopes are associated with drier environments. RR [mm hr -1 ] TPW Range Slope of RR Distribution 0-15 mm -1.01 15-30 mm -0.90 30-45 mm -0.70 45-60 mm -0.59 60-75 mm -0.49