"environment prediction" is correct and commonly used in written English.
It refers to making educated guesses or forecasts about the future state of the environment, including factors such as weather patterns, natural resources, and climate change. Example: Environmental scientists are currently working on advanced techniques for accurate environment prediction to help communities prepare for and mitigate the impacts of natural disasters.
In summary, our method achieves high accuracy in predicting intense geomagnetic storms and could be applied in space environment prediction.
This paper briefly reviews theoretical and engineering significance of aircraft vibration response environment prediction firstly.
The key enhancement is to propose an environment prediction model using meteorology to simulate harvesting capability during a scenario.
GEORAD suite is applicable to radiation environment prediction at LEO, medium earth orbit (MEO) and geosynchronous earth orbit (GEO) at quiet solar periods.
Aircraft vibration response environment prediction, which is adopted in aircraft initial vehicle development, has not been got enough attention and wide application yet.
The CWHP system is composed of three subsystems: the thermal environment prediction (TEP) system, the core body temperature prediction (CBTP) system, and the heatstroke risk notification system (Figure 1). Figure 1 Overview of the CWHP system.
Aerothermodynamic environment predictions play an important role in the heatshield design of Mars entry vehicle.
Key thermal environmental data predictions and monitored values are compared, and if significant differences are identified, thermal environment predictions are modified.
In order to be more consistent with debris environment predictions and to be useful for spacecraft design, such BLCs need to be drawn in units that are consistent with environment flux models used in that design process.
The aero-thermal environment predictions over several critical regions of the hypothesized lifting body vehicle, including the stagnation region of the nose-cap, cylindrically swept leading edges, fuselage-upper, and fuselage-lower surfaces, are discussed.
In this study, we evaluated accuracy improvements of across-environment prediction by using genetic and residual covariance across correlated environments.
