Porto Alegre-Salgado Filho International Airport (SBPA)

Porto Alegre-Salgado Filho International Airport at a glance

Porto Alegre-Salgado Filho International Airport is a large airport in Porto Alegre, Rio Grande do Sul, Brazil, known to airline systems as POA. The field elevation of 11 ft (3 m) is the number every arriving pilot dials against QNH — circuit heights and initial approach altitudes at SBPA are all figured from it. The airport handles scheduled commercial service, so expect controlled procedures, published approaches and commercial traffic in the pattern.

The single runway, 11/29, offers 10,499 ft (3200 m) of asp surface, with runway lighting for night operations. Runway numbers give magnetic orientation: runway 11 points roughly 110° magnetic.

For the weather side of planning, the live METAR and TAF page for SBPA shows the current observation decoded line by line — wind on an instrument dial, visibility, cloud layers and the resulting flight rules — refreshed continuously from official sources.

Flight-planning notes for Porto Alegre-Salgado Filho International Airport

Density altitude is the quiet performance-killer at any field: on a hot day the 11 ft field elevation of Porto Alegre-Salgado Filho International Airport can translate into a substantially higher density altitude, stretching take-off rolls and flattening climb rates — run the numbers rather than trusting the feel of a standard day. Expect published instrument procedures, controlled airspace and clearance requirements; slots and handling may apply to general aviation traffic.

This entry is one of 138 airports and airfields we list for Brazil — the country index on the airports hub links the rest. Coordinates above are given in both DMS and decimal degrees so they can go straight into a GPS, a flight planner or a chart plot without conversion.

Where this data comes from

The reference layer behind this page builds on the OurAirports dataset — a public-domain, community-maintained register of the world's airports that many flight planners and apps rely on — with equity records preserved from documented historical listings where the dataset is silent. Figures are carried as published: elevations as surveyed, coordinates as filed, runway dimensions as recorded. Nothing is estimated to fill a gap, and the whole layer regenerates from source on every site build, so corrections upstream arrive here automatically.