GeoGuessr Results

  • Driving GeoGuessr – Round One

    • 1st Place: Double H

      • Total Points: 31,793

      • Participants: Hannah & Hugo

    • 2nd Place: Dyleean

      • Total Points: 28,579

      • Participants: Eean & Dylan

    • 3rd Place: Tornadoes

      • Total Points: 29,185

      • Participants: James, Lawson, & Joel

Round Two Results

  • Team Results

    • Team: Double H

      • Total Points: 31,793

      • Participants: Hannah, Hugo

    • Team: Tornadoes

      • Total Points: 29,185

      • Participants: James, Lawson, Joel

    • Team: Dyleean

      • Total Points: 28,579

      • Participants: Eean, Dylan

    • Team: Starfish

      • Total Points: 27,004

      • Participants: Aidan, Andrew

    • Team: The Know It Alls

      • Total Points: 25,171

      • Participants: Jude, Landon

    • Team: Brain

      • Total Points: 24,176

      • Participants: Brett, Arian

    • Team: Eminem

      • Total Points: 23,856

      • Participants: Micah, Meagan

    • Team: Gators

      • Total Points: 22,977

      • Participants: Miranda, Sean, Noah

    • Team: The Winners

      • Total Points: 21,563

      • Participants: Femi, Gabriel

    • Team: We Are Lost

      • Total Points: 18,105

      • Participants: Cam, Bryan

    • Team: The Jazzigals

      • Total Points: 14,444

      • Participants: Darren, Claire

Climatic Gradients – Western US

  • Key Features

    • Elevation: Varied elevations across the region influence climate.

    • Rainshadow Environments: Areas that receive significantly less precipitation due to geographical barriers such as mountains.

    • Continental Divide: A natural boundary that affects weather systems and drainage patterns.

    • Arctic Air: Cold air masses that can influence weather patterns in the area.

    • Latitude Influence: Approximately at 40°N latitude, affecting solar radiation and seasonal variations.

    • SW Monsoon (Arizona Monsoon): Seasonal rainfall patterns that have a significant impact on local climates.

    • Wet/Dry Seasons: Distinct seasonal climate variations, particularly prominent in desert and semi-arid regions.

    • Subtropical High Pressure: High-pressure zones that influence weather patterns and precipitation distribution.

In-Class Climagraph Exercise

  • Objective: Determine which town your climagraph represents based on the visual data provided in class.

Physical Geography Overview

  • Class Updates

    • Presentations Begin: Friday

      • Importance: Earn points for participating in classmates' presentations.

      • Peer Review Sheets: Distributed for feedback.

    • Quiz Notification: Activate on Friday evening, available until Sunday midnight.

Climagraph Data and Interpretation

  • Climagraphs: Visual representation of temperature and precipitation data over a year.

    • Data Points: Include numerical values indicating temperature (°F) and precipitation (inches).

    • Various elevations: Displayed in feet along with corresponding precipitation values.

Specific Climagraph Data

  • Graph Example 1:

    • January to December temperature and precipitation patterns.

      • Data: 8150 ft; 30.31 in. precipitation.

  • Graph Example 2:

    • January to December showing high elevation and precipitation amounts.

      • Data: 9098 ft; 55.07 in. precipitation.

  • Graph Example 3:

    • Seasonal variations in precipitation and temperature at different elevations, including a notable climagraph showing significant annual rainfall.

      • Example Data: 9462 ft; 30.32 in., 7474 ft; 106.4 in.

Climatological Data for Specific Locations

  • SLC (Salt Lake City)

    • Average Precipitation: 16.6 in at an elevation of 4226’

  • Seasonal Outlooks from NOAA

    • Issues for Oct-Nov-Dec 2025.

    • Probability Breakdown

      • Above Normal, Near Normal, Below Normal percentages reported

      • Equal Chances exist for various conditions depending on seasonal patterns.

      • Forecast variables to assess environmental status.

    • Seasonal Temperature Outlook:

    • Probability percentages corresponding to temperature predictions across the regions.

    • Seasonal Precipitation Outlook:

    • Similar probability assessments for seasonal precipitation outlook based on current climatic models.