ATMOSPHERE API

Density, composition, and temperatures for satellite drag and remote sensing calculations

background


atmospheric density models

Accurate models of the density, composition, and temperature of the Earth's atmosphere, from ground through to exobase, are indispensible for space operations, remote sensing imagery analysis, and as source terms in modelling software that propagate light or radiation through the atmosphere.

The NRLMSISE-00 model was developed by the US Naval Research Laboratory. It is based on mass spectrometry and incoherent radar scatter data, includes drag and accelerometer data, and accounts for anomalous oxygen at high altitudes. It is recommended by the International Committee on Space Resarch (COSPAR) as the standard for atmospheric composition.

The JB2008 (Jacchia-Bowman) model is a newer model developed by Space Environment Technologies and the US Air Force Space Command. The model accounts for various phenomena related to EUV heating of the thermosphere and uses the DST index as the driver of global density changes. The model is complementary to the NRLMSISE00 model and is more accurate during times of high solar activity and geomagnetic storms. It is recommended by COSPAR as the standard for atmospheric density in satellite drag calculations.

why use an api?

Many scientific aerospace models are written in legacy languages that require significant technical ability to install and integrate into modern software systems.

We use scientific models as source terms in our own projects. We know that integration can be time consuming, and we've developed APIs so that you don't have to reinvent the wheel.

Our APIs are limited to 1000 calls per day and are ideal for proof-of-concept activities. Their ease of use is demonstrated below.

validation studies


We are validating the API calculations against published experimental data and benchmarking against other models.

Results and analyses are available for review on our online repository

The following is a sample result showing the thermospheric densities measured during the GOCE mission, alongside the NRLMSISE-00 and JB2008 model predictions accessed through the Amentum Atmosphere API.

More to follow! Receive notification of updates and new APIs