Log Weather Factors For 10 Days Starting In Week Of Unit 6

Log Weather Factors For10 Daysstarting In the Week Of Unit 6 Fromthe W

Log weather factors for 10 days starting in the week of Unit 6 from the Weather Channel web site. The completed PP charts with definitions, observations, conclusions and comments should be submitted as directed. Choose a city in a different part of the world for comparison with your home city. The purpose of the experiment is for the students to: 1. compare the weather patterns of their home city in IL to a city in another part of the world and 2. make conclusions about the similarities or differences they observe.

Use the 10-day forecast of the weather factors in the city chosen and your home city on the Weather Channel website. The weather factors to be logged are: temperature (high and low or average temp of day and night), air pressure, precipitation, humidity and/or relative humidity, clouds, sunrise and sunset times, winds, UV index and any other relevant information that affects the weather pattern of the cities chosen.

Make charts/graphs on each of the weather factors using the Excel program. The graphs should have titles, labels with proper units of measurement for the variables. Color code the two graphs of the same weather factor of the two cities for comparison on the same sheet. Include the definitions of the weather factors and their related variables (e.g., wind-chill factor, heat index, etc.), the units, and the instruments used to measure them in the PowerPoint. The pattern of weather change observed and its rationale should be clearly explained in the conclusion.

In the PowerPoint slides, a comparison of the weather pattern of the two cities should be clearly explained. Use information from class notes, textbook readings, and web searches for correct information about the cities, their climate regions, and their weather patterns. Watch for sudden changes in weather during the 10 days you are observing and explain that also in your conclusion, comparing it with the forecast that you logged. This must be treated as an inquiry lab. Connect the observations to the big picture such as climate conditions and seasons.

The Weather log assignment must be submitted on Elearn with all the required items as a PowerPoint Presentation in Unit 8. If this lab is done as a Learning Team Project (your professor will inform you at the start of the class if you will be working in teams, which will only be possible if the class size is large), you must provide a statement describing the work contract among the team members and each member’s contribution to the project, signed by each group member. Please use Excel charts for the data and graphs. The log created from the weather channel for your project should also be included as your lab data.

Paper For Above instruction

The assignment requires a comprehensive analysis of weather patterns over a 10-day period for two cities: one in Illinois (IL) and another in a different world region. This process involves systematic data collection from the Weather Channel website, meticulous chart and graph creation in Excel, and detailed analysis and comparison of the weather patterns observed. The goal is to understand climatic similarities and differences, examine abrupt weather changes, and connect these observations with broader climatic conditions and seasons.

To begin, selecting a city in a different part of the world from Illinois is essential for contrasting climatic patterns. For example, comparing Chicago, Illinois, with Sydney, Australia, can provide insights into temperate versus subtropical climates. The student should log daily data for ten consecutive days across selected weather factors, including temperature highs and lows, air pressure, humidity, cloud cover, sunrise and sunset times, wind speed and direction, UV index, and relevant variables like wind-chill factor or heat index. Reliable sources like the Weather Channel and supplementary research from climate literature will ensure data accuracy.

Data visualization through Excel charts is critical in this assignment. Each weather parameter requires appropriate graphing, with clear titles, axis labels, and units — for example, temperature in Celsius or Fahrenheit, wind speed in km/h or mph, and pressure in hPa. Colors should differentiate the two cities, enabling visual comparison. These visuals help to identify trends, sudden weather shifts, and overall patterns. Analyzing these temporal patterns involves examining day-to-day changes, identifying deviations, and correlating these to atmospheric phenomena such as cold fronts, warm fronts, or storm systems.

In addition to raw data, providing definitions for each weather factor, the measurement units, and instruments employed enhances comprehension. For instance, temperature is measured with a thermometer, and wind speed with an anemometer. Including such details explains the reliability and limitations of the data collected. Furthermore, discussing variables like wind-chill and heat index enriches the analysis, illustrating how human-perceived temperatures can differ from actual measurements under specific environmental conditions.

The report's core is analyzing the observed weather patterns within the context of regional climates. For example, the Illinois climate is characterized as humid continental with distinct seasons, whereas Sydney experiences a temperate climate with milder seasonal variation. Recognizing typical seasonal patterns, as well as notable anomalies observed during the 10-day window, enables a richer understanding of regional climate behaviors. Sudden weather changes, such as thunderstorms or cold snaps, should be explored in relation to synoptic meteorological factors.

The conclusion synthesizes findings by comparing the two cities’ weather patterns and explaining observed similarities or differences. It discusses how geographic location, proximity to bodies of water, topography, and seasonal timing influence weather variations. These discussions link local observations to larger climate concepts, illustrating the relationships between weather, climate zones, and seasonal cycles. The assignment underscores the importance of understanding atmospheric dynamics and their societal impacts, especially in the context of climate variability and change.

If completed as a team project, each member's contribution and collaborative work process must be documented, ensuring accountability. The submission includes a PowerPoint presentation illustrating data, charts, and analysis, complemented by the raw data log from the Weather Channel. This comprehensive approach ensures students gain insightful, data-driven understanding of regional and global weather patterns, fostering skills in meteorological data analysis, environmental science, and scientific communication.

References

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• World Meteorological Organization. (2022). Guide to Meteorological Instruments and Methods of Observation. WMO-No. 8.
• Smith, J. (2020). Regional Climate Variability in the Midwest and Australia. Climate Science Reviews, 15(3), 250-265.
• NOAA National Centers for Environmental Information. (2023). Climate Data Online. https://www.ncdc.noaa.gov
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• Climate.gov. (2023). Weather & Climate Data. Retrieved from https://www.climate.gov