Facilitate teaching using Automatic Weather Station (AWS)
(Author: Matthew Wong)
1) Co-WIN weather data download function
Weather data from AWSs of our members, provided in Co-WIN data download page, can be used for
investigative study
a) Climatic change
Compare averages of different parameter in different season
b) Cold / warm front
Monitor the transition of the frontal zone
c) Cyclone analysis
Tracking and correlating weather parameters (e.g. pressure, temperature, wind speed, rainfall,
solar radiation) under the effect of cyclone
d) Correlation between different weather parameters
i) Temperature & rainfall
ii) UV/Solar radiation & temperature
iii) UV/Solar radiation & cloud cover
iv) UV/Solar radiation & wind speed
e) Human biometeorology
Eg.
i) Apparent temperature
ii) Heat index
iii) Wet Bulb Globe Temperature
iv) Wind chill index
2) Regular station maintenance using checklist + weather diary
3) Working principle of AWS
4) Design of scientific study using AWS
a) Solar radiation + solar cell
b) Wind speed + wind turbine
5) Weather webpage generation using WeatherLink
This work by Matthew Wong of the Department of Applied Physics, The Hong Kong Polytechnic University, is licensed under a Creative Commons AttributionNonCommercial-ShareAlike 3.0 Hong Kong License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/hk/deed.en_HK .
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