SF50 TOLD 4+

Vision Jet takeoff and landing

Timothy Morgan

Designed for iPad

    • Free

Screenshots

Description

SF50 Takeoff and Landing Data helps Cirrus SF50 Vision pilots do their performance calculations. Simply launch the app, enter your weights, and the app will calculate how much runway you need to take off or land in your Vision Jet.

SF50 TOLD supports both automatic and manual weather entry, custom safety factors, non-normal configurations (such as FLAPS 50 ICE or FLAPS 0), and runway contamination. All data comes from the SF50 G1 or G2+ Airplane Flight Manual* and is interpolated for current conditions.

*This app has not been approved by the FAA or by Cirrus Aircraft as an official source of performance information. It is your responsibility to ensure that the performance data you use is accurate for current conditions.

AFMs:

Aircraft Serials with Cirrus Perspective Touch Avionics System and FL280 Maximum Operating Altitude
P/N 31452-001
Revision A1

Aircraft Serials with Cirrus Perspective Touch+ Avionics System and FL310 Maximum Operating Altitude
P/N 31452-002
Revision 4

Airplane Flight Manual Supplement for Updated Thrust Schedule
P/N 31452-111
Revision 1

What’s New

Version 3.0.2

Version 3.0.2 fixes a bug causing incorrect density altitude calculations (display only).

Version 3.0 adds numerous features including international airport data, a tabular data model, and takeoff and landing reports.

INTERNATIONAL AIRPORT DATA

SF50 TOLD now includes data for over 22,000 airports and airfields internationally through OurAirports.net. US airports will continue to use official FAA data, updated every 28 days. International airports will use open-source OurAirports data, updated regularly.

TABULAR DATA MODEL

Traditionally, SF50 TOLD used a regression data model for performance calculations, which allowed the application to provide performance estimations in all conditions, at the expense of some accuracy at the edges of the performance envelope. Now we are introducing a tabular data model that uses AFM tables directly, only performing linear interpolation within the envelope. You will be able to choose which data model you want to use. The tabular data model will produce book-accurate numbers for all conditions within the SF50’s envelope, but will not be able to extrapolate. The regression data model will provide performance data even in conditions not covered by the AFM, at the expense of some accuracy.

TAKEOFF AND LANDING REPORTS

A new “Generate Report” button has been added to the Takeoff and Landing sections. It will generate a PDF report of the predicted takeoff/landing performance for every runway at the departure/arrival airport, as well as limiting factor. It will also include hypothetical scenarios so you can see how potential changes can affect your ability to takeoff/land from each runway at your airport. These scenarios include a ±200 lb change in weight, a ±10° change in temperature, a ±10-knot change in winds, a flaps-50 landing, etc. The PDF report can be saved or printed.

WORLDWIDE WEATHER

SF50 TOLD now uses Apple Weather to provide worldwide weather conditions and forecasts. This weather data is used when NOAA METARs or TAFs are not available, as is the case for smaller US airports and all international airports.

OTHER ADDITIONS AND IMPROVEMENTS

- Regression data model redesigned to improve accuracy, especially at the edges of the envelope
- When using regression data model, all performance values shown with an estimation range (e.g., “±200 ft”)
- You can choose between showing all times as UTC or airport-local
- Now calculates runway headings from runway end lat/lons for airports whose runway headings are not published
- Re-released for iOS 26
- Bugs and data errors fixed

App Privacy

The developer, Timothy Morgan, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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