Question

Location 1
Table must be complete AND accurate – no partial credit (1pt)
Weather Measures
Temperature Range F
Relative
Humidity %
Precipitation mm
Wind kmph
Front
Details
Day 1
31-45
82
0
12.6
Cold and stationary
Next day
prediction
Colder, windy, rainy
Day 2
33-46
82
0
9.5
Cold
Next day
prediction
warmer
Day 3
34-39
52
0
8.1
cold
Next day
prediction
windy
Day 4
40-44
57
0
9.3
Low air pressure
Next day
prediction
Warmer, windy


Day 5
42-48
70
0
12.3
cold
5-day map changes
It got warmer, humidity went up, no precipitation, wind went down then up.


Location 2
Table must be complete AND accurate – no partial credit (1pt)
Weather Measures
Temperature Range F
Relative
Humidity %
Precipitation mm
Wind kmph
Front
Details
Day 1
52-60
46
0
10.6
stationary
Next day
prediction
Windy, warmer
Day 2
51-59
83
0
11.0
Cold and stationary
Next day
prediction
Warmer windy
Day 3
50-69
100
10
5.8
Cold and low air pressure
Next day
prediction
Warmer, less, windy
Day 4
52-70
80
0
5.1
stationary
Next day
prediction
Warmer, less windy
Day 5
53-72
87
0
5.4
stationary
5-day map changes
It got warmer, humidity went up, down, then up again. A little precipitation on day 3. Wind went up a little, then down.


Location 3
Table must be complete AND accurate – no partial credit (1pt)
Weather Measures
Temperature Range
Relative
Humidity
Precipitation
Wind
Front
Details
Day 1
15-36
67
0
12.6
cold
Next day
prediction
colder


Day 2
18-27
69
0
9.5
High air pressure
Next day
prediction
Colder, less wind
Day 3
17-29
78
0
8.1
cold
Next day
prediction
colder , less wind
Day 4
12-29
92
40
10.6
stationary
Next day
prediction
Colder, rainy
Day 5
13-33
85
25
11.0
stationary
5-day map changes
It got colder, humidity went up then down a little. No precipitation until the end, wind went down a little, then up.


Location 4
Table must be complete AND accurate – no partial credit (1pt)
Weather Measures
Temperature Range
Relative
Humidity
Precipitation
Wind
Front
Details
Day 1
37-43
72
0
21
stationary
Next day
prediction
Colder, less wind
Day 2
40-52
75
0
13
cold
Next day
prediction
Warmer, less wind
Day 3
42-46
89
30
9
Low air pressure and cold
Next day
prediction
Warmer, less wind
Day 4
43-46
93
0
30
stationary
Next day
prediction
Warmer, more wind
Day 5
38-39
92
0
30
stationary
5-day map changes
It got warmer, then cooler. Humidity went up then down a little, little precipitation on day 3. Wind wind went down then up.


Location 5
Table must be complete AND accurate – no partial credit (1pt)
Weather Measures
Temperature Range
Relative
Humidity
Precipitation
Wind
Front
Details
Day 1
22-30
92
0
8
cold
Next day
prediction
Warmer
Day 2
31-35
100
0
22
High air pressure, cold
Next day
prediction
Warmer, more wind
Day 3
25-31
92
0
20
High air pressure
Next day
prediction
Warmer, less wind
Day 4
22-28
92
0
18
cold
Next day
prediction
Colder, less wind
Day 5
25-31
92
0
18
stationary
5-day map changes
It got warmer, then colder, then a little more warmer. Humidity was up, wind went up then down.

Day 1
Weather Map:
Day 6 Prediction

Predicted Weather Map:

Argument for Location __1__ Prediction
Claim: Day 6 will be warmer, and it probably will not rain.
Evidence: Temperature went up from 31–45°F on Day 1 to 42–48°F on Day 5. Precipitation was 0 mm every day.

Reasoning:The temps have been rising, so it will most likely be warmer. There has been no rain all five days.
Argument for Location ____5___ Prediction
Claim: Day 6 will be about the same or a little warmer, very humid, no rain.
Evidence: Temperatures went up and down but Day 5 is 25–31°F (similar to other days). Humidity stayed very high (92–100%) every day. Precipitation was 0 mm all five days.

Reasoning: Temps have been going up and down but ended near the middle, so expect about the same or a little warmer. Humidity is always high, and there is no rain.




Draw Conclusions
Answer the questions below to draw conclusions about how meteorologists collect and analyze data to make predictions about the weather.
1. Describe your experiences predicting the weather. What weather data and map information was most helpful in making accurate predictions about the next day's weather? 2 points

Answer 1

When I made the Day‑6 predictions I found that trends and map features together were most useful — single numbers alone were often misleading.

Most helpful data and why:
- Temperature trends (multi‑day changes): a steady rise or fall gives a clear short‑term signal (e.g., Location 1 warmed from Day 1 to Day 5 → predict warmer Day 6).
- Pressure/front information on the map (low/high pressure, cold/warm/stationary fronts): these control precipitation and wind; low pressure and a front preceding Day 4 at Location 3 matched the rain that appeared.
- Precipitation history plus relative humidity: recent rain or very high humidity raises the chance of continuing precipitation, but humidity alone isn’t decisive (Location 5 had very high humidity but stayed dry because pressure/fronts were not favorable).
- Wind speed/changes and isobar spacing on maps: increasing wind often signals an approaching front and changing weather (several locations showed wind spikes when fronts were noted).

Conclusion: the best forecasts came from combining trends (temperature, humidity, wind) with map features (fronts and pressure patterns) rather than relying on any single measure.