Weather-data

Worldwide weather data. Thirty years of it.

Data and scripts are provided to build an SQL database of 30 years of international weather info.

Building the SQLite Database

To build the SQLite3 database, run the following:

python3 wmo_norms_db.py

This builds the file wmo_norms.db . You can then use tools like sqlitebrowser or the command-line interface sqlite3 wmo_norms.db.

Example Query

The file example_queries.sql includes sample queries. For example, to list the sunniest places in the US, and some additional info:

select station_meta.name as "Place",
    an_sun.dec as "December_Sun",
    an_low.jan as "January_Low_Avg",
    an_hi.jul  as "July_Hi_Avg",
    an_hi.jul - an_low.jan as "Temp_Range",
    an_hum.jul as "July_Humidity_Avg"
from allnorms an_sun
join station_meta on an_sun.station = station_meta.station
join allnorms an_low on an_low.station = an_sun.station
join allnorms an_hi  on an_hi.station = an_sun.station
join allnorms an_hum on an_hum.station = an_sun.station
where station_meta.country_name = 'United States Of America'
    and an_sun.clim_elem_code = '15' -- sunshine
    and an_sun.statistic_code = '44' 
    and an_low.clim_elem_code = '03' -- mean low temp (in january)
    and an_low.statistic_code = '01' 
    and an_low.jan > -10             -- no cold places
    and an_hi.clim_elem_code  = '02' -- mean hi temp (in july)
    and an_hi.statistic_code  = '01' 
    and an_hum.clim_elem_code = '11' -- mean humidity (in july)
    and an_hum.statistic_code = '94' 
order by an_sun.dec desc  limit 11;

The result:

Place	December_Sun	January_Low_Avg	July_Hi_Avg	Temp_Range	July_Humidity_Avg
Yuma/Int'l Ap. AZ	252.7	6.8	41.4	34.6	35.2
El Paso/Int'l TX	246.3	-1.4	35.6	37.0	43.9
Tucson/Int'l AZ	245.8	3.7	37.4	33.7	41.6
Phoenix/Int'l AZ	244.8	5.1	41.1	36.0	31.6
Las Vegas/McC. NV	236.0	0.9	41.1	40.2	21.1
Key West/Int'l FL	234.5	18.3	31.7	13.4	72.2
San Diego/Lind. CA	231.3	9.4	24.6	15.2	74.6
Albuquerque/Int'l NM	223.3	-5.7	33.6	39.3	41.9
Flagstaff/Pulliam AZ	219.8	-9.3	27.7	37.0	51.1
San Juan/Int'l PR	217.4	21.6	31.4	9.8	75.9
Miami/Int'l FL	216.1	15.1	31.7	16.6	74.8

Documentation

Documentation of the weather data is found in the directory wmo_norms_1961-1990/doc/ .