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Documentation Index

Fetch the complete documentation index at: https://mintlify.com/maxiricalde/ProfeLedesma/llms.txt

Use this file to discover all available pages before exploring further.

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Station Network

The workshop uses a network of 16 meteorological stations spread across South America, spanning a wide range of climatic regimes — from coastal lowlands to high-altitude Andean plateaus. The Site class in helpers/Sites.py provides programmatic access to each station’s geographic metadata.

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Station Reference Table

CodeLatitude (°)Longitude (°)Altitude (m)
PAR5.8060-55.21464
FLO-27.6047-48.522711
BSA-34.6-58.4830
PIL-31.67-63.88335
PTR-9.0690-40.3200387
YU-23.5844-64.5066401
BRB-15.6010-47.71301023
SA-24.7288-65.40951233
CE-24.89438-65.471051235
SCA-25.8951-65.9251624
ERO-24.39278-65.768063355
AP-22.80205-65.824363459
LQ-22.103936-65.5999233500
TG-24.59-67.403560
ERI-23.9736-67.11563729
CAU-23.668466-66.7449953915
Primary case study station — The workshop focuses on station LQ (La Quiaca area, Argentina), one of the highest-altitude stations in the network at 3,500 m a.s.l. High-altitude sites experience significantly reduced atmospheric attenuation, making them particularly interesting for solar resource assessment and ML-based quality control.

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Using the Site Class

The Site class lives in helpers/Sites.py. Instantiate it with a station code string to get instant access to the metadata: 
from helpers.Sites import Site

# Instantiate with the station code
site = Site('LQ')

# Access geographic attributes
print(site.lat, site.long, site.alt)
# → -22.103936 -65.599923 3500

# Print a human-readable summary
site.describe()
# → Site LQ
# → lat -22.103936, long -65.599923, alt 3500
The Site object is used throughout the workshop notebooks to supply the exact coordinates required by solar geometry calculations (solar zenith angle, hour angle, etc.) and to index into the modeled reference data for the corresponding station.

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How Site Works Internally

Inside helpers/Sites.py, three parallel lists define the complete network: 
sites = ['PAR', 'FLO', 'BSA', 'PIL', 'PTR', 'YU', 'BRB',
         'SA',  'SCA', 'ERO', 'LQ',  'TG',  'ERI', 'CAU', 'CE', 'AP']

lats  = [5.8060, -27.6047, -34.6, -31.67, -9.0690, -23.5844, -15.6010,
         -24.7288, -25.8951, -24.39278, -22.103936, -24.59, -23.9736,
         -23.668466, -24.89438, -22.80205]

lons  = [-55.2146, -48.5227, -58.48, -63.88, -40.3200, -64.5066, -47.7130,
         -65.4095, -65.925, -65.76806, -65.599923, -67.40, -67.1156,
         -66.744995, -65.47105, -65.82436]

alts  = [4, 11, 30, 335, 387, 401, 1023, 1233, 1624, 3355,
         3500, 3560, 3729, 3915, 1235, 3459]
When you call Site('LQ'), the constructor locates the index of 'LQ' in the sites list and reads the corresponding latitude, longitude, and altitude from the matching positions in lats, lons, and alts.

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