Angel Oppong - Lab 3 - Lab Report

Fall 2022 ESSC 101 Laboratory 3: Interpreting a Surface Weather Map Lab Report 1. State the objective of this Lab 3 in the form of a question. ( hypothesis ). How would I observe and interpret common weather parameters and surface weather maps like air, weather, dew point, wind speed, direction, pressure, cloud cover, precipitation type. 2. Describe the methodology you will use to answer your question stated in question 1. (Remember that would include websites used and information obtained, an explanation what Maps were used to obtain what weather information) Some websites I would use to answer my hypothesis would be Google Earth and EMU weather map sites. 3. Record Data: Part 1: Collection of Surface Weather Maps A. Indicate the Date and Time you are collecting your Maps Date __9/18/2023____________________ Time _________11:11PM EST__________ B. Following the procedure, paste Surface Data Map with selected data stations circled below or indicate they are in a separate attached file . Paste Files here or put in a separate file:

Fall 2022 Part 2: Record Weather Observations from Surface Data Map (Data Table) Location Sky condition Temp. ( o F) Dewpoint Temp. ( o F) Wind Speed Wind direction (wind is coming from) Atmospher ic Pressure (mbar) Precipitati on (if any) 1. 1402 Hartford Ave SW, Atlanta, GA 30310 25% Cloud Cover - Few Clouds 74 56 5 knots West 157 N/A 2. 3210 S 19th Ave, Phoenix, AZ 85009 0% Cloud Cover - Clear Skies 98 37 10 knots Northwest 065 N/A 3. 176 W Washington St, Chicago, IL 60602 75% Cloud Cover - 63 53 5 knots East 164 N/A

Fall 2022 The analysis of the observed surface weather Maps will look at two aspects of the surface Weather information, First, make a comparison of the weather parameter in the cities you examined. In this comparison describe where temperatures are warm or cold, and where you found the highest dew point, the strongest winds, highest pressures, and precipitation. The ending of this part would be any patterns you see within the weather data. For example, are high-temperature cities also found to have lower atmospheric pressure. Secondly, discuss the relationships and patterns observed between the weather features such as fronts, Pressure centers, and radar reflectivity. For example, do you see radar reflectivity around High-pressure centers or cold Fronts? Based on the observations of the five locations, the wind speed was either 5 or 10 knots. Compared to all of the locations recorded, Phoenix AZ, Denver CO, had the strongest winds (at 10 knots) compared to Chicago IL, and Atlanta GA (which is at 5 knots). I realized that when the dew point temp. is low, and the atmospheric pressure is also low. I also realized that the wind speed plays a role in both the dew point temperature and atmospheric pressure. For example, the wind speed is 5 knots, and the dew point temperature and atmospheric pressure are at their highest compared to the cities with 10 knots. In the Isobars, Front, Radar & Data map, it is hard to tell if the high and low pressure center make an impact as there are more high pressure centers than low, but according to the map, the radar reflectivity seems to be around the high pressure center more. Also, I observed that there are more cold fronts compared to warm fronts, it could be due to the map having more high pressure centers, as the warm fronts could be seen near the low pressure center. 5. Final Lab Conclusion: After completing the Lab Report and Analysis, write a concluding discussion describing how the objective question was answered while completing this Lab including important concepts learned about Surface Weather Maps and observed patterns in relationships between weather parameters, precipitation (Radar), and frontal boundaries. After completing the lab report and analysis, I can conclude based on this map that there are relationships and patterns between the weather parameters, radar, and the cold and warm front boundaries. For example, as mentioned in the lab analysis, we can see that some of the weather parameters such as wind speed may play a role or have some correlation with the dew point temperature and atmospheric pressure, as well as high pressure centers may be parallel to the precipitation radar and frontal boundaries. With these observations, it is easy to read or anticipate a result or outcome based on the relationship and patterns without having direct access to other information. For example, since I had realized that cold fronts may be aligned with the high pressure centers, I can predict that other cold fronts on the map will also be due to the high pressure centers, or that there may be high pressure centers where there are many cold fronts.