Can you guys do this for me im really sick rn and need it done im giving lots ofmeteorology lab report
introduction
meteorologists draw conclusions based on all known weather data. since weather data is constantly changing, their forecast can change from day to day or from hour to hour. now, it is your turn to predict the weather. in this lab activity, you will analyze data collected from a weather station to create a weather forecast.
problem:
how can we use the relationships among weather data to produce a forecast?
hypothesis:
using the weather data in table 1, create a 12-hour general weather forecast for the next day following the data collected. remember, this is your hypothesis. make sure it is made before you create graphs of your weather data.
materials:
• weather data in table 1
• weather maps symbols key (see lesson)
• graphing software or application
• graphing tutorial (optional)
procedures:
1. using the weather data from table 1, construct a line graph using time on the x axis and temperature for the y axis. make sure to plot both the temperature and dew point on your graph. be sure to include units and add titles to the graphs. refer to the graph example and graphing tutorial in the lesson if needed.
2. using the weather data from table 1, construct a second line graph using time on the x axis and air pressure for the y axis. be sure to include units and add titles to the graphs.
3. select two different times (one day and one night) from table 1 and create a weather station model for each. use the example diagram in the data sections and the weather map symbol key in the lesson to guide your weather station models.
4. complete the questions and conclusion section of the lab report.
variables:
for this investigation, list the independent, dependent, and controlled variables.
data and observations:
table 1: weather data from station 1, cape canaveral, florida
time of day temperature
(f°) air pressure
(sea level, mb) relative humidity cloud cover
(sky condition) wind speed
and direction
(wind, mph) dew point (f°)
12: 00 am 76 1013.3 97% a few clouds calm 75
1: 00 am 75 1013.0 100% a few clouds s 3 75
2: 00 am 75 1012.8 100% a few clouds calm 75
3: 00 am 74 1012.5 100% fair calm 74
4: 00 am 74 1012.3 100% a few clouds calm 74
5: 00 am 73 1012.5 100% fair calm 73
6: 00 am 73 1013.0 100% shallow fog calm 73
7: 00 am 76 1013.4 100% a few clouds calm 76
8: 00 am 79 1013.6 90% a few clouds nw5 76
9: 00 am 82 1013.9 79% a few clouds nw3 75
10: 00 am 85 1014.1 68% partly cloudy calm 73
11: 00 am 85 1014.2 70% mostly cloudy e6 74
12: 00 pm 87 1013.7 65% mostly cloudy ne9 74
1: 00 pm 87 1013.1 65% partly cloudy e9 74
2: 00 pm 87 1012.5 65% mostly cloudy e12 74
3: 00 pm 87 1011.8 67% mostly cloudy e12; g17 75
4: 00 pm 86 1011.3 70% partly cloudy variable 7 75
5: 00 pm 85 1011.5 72% partly cloudy se7 75
6: 00 pm 82 1011.7 77% mostly cloudy e5 74
7: 00 pm 81 1012.1 82% mostly cloudy se3 75
8: 00 pm 79 1012.9 88% mostly cloudy sw6 75
9: 00 pm 78 1013.8 90% overcast sw3 75
10: 00 pm 77 1014.4 94% overcast sw7 75
11: 00 pm 76 1014.3 100% overcast calm 75
select two different times (one day and one night) from table 1 and create a weather station model for each. use the weather map symbols key from the lesson to guide your weather station models. it includes an example weather station model at the top. place your weather station models under the data for each time.
day: (time)
1. temperature:
2. dew point:
3. air pressure: mb
4. wind direction—choose one: n, ne, e, se, s, sw, nw w
5. wind speed:
6. cloud cover—choose one: clr 0%, few 25%, sct 50%, bkn 75%, ovc 100%
place weather station model here.
night: (time)
1. temperature:
2. dew point:
3. air pressure:
4. wind direction—choose one: n, ne, e, se, s, sw, nw w
5. wind speed:
6. cloud cover—choose one: clr 0%, few 25%, sct 50%, bkn 75%, ovc 100%
place weather station model here.
questions and conclusion
1. write a summary of the weather that occurred during the 24 hours in table 1.
2. what are the possible sources of error in the weather data?
3. what relationships do you notice between temperature, dew point, humidity, cloud cover, and air pressure? provide evidence for these relationships from data in table 1.
4. in conclusion, how did your graphs support or contradict your 12-hour forecast for the following day?
5. describe additional data you could collect to make your forecast more reliable.
6. what did you learn about weather forecasting by completing the activity?
im giving 80 points