The Chomolhari Trek
Travessia Petrópolis-Teresópolis (Serra dos Órgãos NP)
The Chomolhari Trek vs Travessia Petrópolis-Teresópolis (Serra dos Órgãos NP): Intensity Score Comparison
Both routes share a similar overall intensity (73 vs 74). Depending on personal strengths, the challenge relies more on Travessia Petrópolis-Teresópolis (Serra dos Órgãos NP)'s technicality versus the physical output of the other.
Model-based (not a field report) · Evaluates overall route demand, not danger.
The Chomolhari Trek is a 7–9 day high-altitude route through the Jigme Dorji National Park, Bhutan. The trail traverses from Drugyel Dzong toward the base of Mount Jomolhari (7,326m), a sacred peak for the Bhutanese people. The route reaches high points at the Nyele La pass (4,700m) and potentially the Bongte La (~4,890m) depending on the variant. It is characterized by sustained exposure above 3,500 meters, passing through sub-alpine forests and high glacial basins where seasonal yak herders maintain their summer camps.
Travessia Petrópolis-Teresópolis (Serra dos Órgãos NP)
The Travessia Petrópolis-Teresópolis is a premier multi-day traverse within the Serra dos Órgãos National Park (PARNASO). Spanning approximately 30km, the route reaches its peak at Pedra do Sino (2,263m). The trek transitions from dense Atlantic Rainforest to exposed granite plateaus. Route basics: 1. Officially known as Travessia Petrópolis-Teresópolis. 2. Located within PARNASO. 3. Requires advanced booking for 'Abrigo' shelters. 4. Iconic 'Cavalinho' scramble is the technical crux. 5. High risk of white-out fog (nevoeiro) on the ridge. 6. Best hiked between May and September.
Head-to-Head Metric Analysis
HikeMetrics Hazard Scale — Explanation
The HikeMetrics Hazard Scale is a proprietary 5-point classification system that evaluates hiking routes across five dimensions: physical demand, technical complexity, altitude exposure, weather risk, and rescue accessibility.
Unlike generic star ratings, the Hazard Scale is calibrated against altitude profiles, elevation gain per day, and logistical isolation factors — making it the most precise route classification system available.
Full Scale Documentation