A system comprising: a machine learning maneuver, MLM, model executing on a processor on an aerial vehicle, the MLM model being programmed to generate maneuver data identifying a plurality of flight paths for maneuvering an aerial vehicle through an adverse weather condition and a flight path confidence score for each flight path of the plurality of flight paths based on at least weather sensor data characterizing the adverse weather condition, wherein the flight path confidence score for each flight path of the plurality of flight paths is indicative of a probability of successfully maneuvering the aerial vehicle through the adverse weather condition according to a respective flight path; and a maneuver decision engine executing on the processor on the aerial vehicle, the maneuver decision engine being programmed to: evaluate each flight path confidence score for each flight path relative to a flight path confidence threshold to identify a given flight path of the plurality of flight paths through the adverse weather condition that poses a least amount of structural risk to the aerial vehicle; select a flight path having a corresponding flight path confidence score that exceeds a threshold; generate flight control data characterizing flight commands for the aerial vehicle based on the selected flight path to maneuver through the adverse weather condition, wherein the flight control data causes the aerial vehicle to maneuver through the adverse weather condition; and characterised in that the maneuver decision engine is further programmed to generate MLM tuning data indicative of whether the given flight path is one a safe flight route or an unsafe flight route in response to maneuvering the aerial vehicle according to the given flight path through adverse weather condition. a machine learning maneuver, MLM, model executing on a processor on an aerial vehicle, the MLM model being programmed to generate maneuver data identifying a plurality of flight paths for maneuvering an aerial vehicle through an adverse weather condition and a flight path confidence score for each flight path of the plurality of flight paths based on at least weather sensor data characterizing the adverse weather condition, wherein the flight path confidence score for each flight path of the plurality of flight paths is indicative of a probability of successfully maneuvering the aerial vehicle through the adverse weather condition according to a respective flight path; and a maneuver decision engine executing on the processor on the aerial vehicle, the maneuver decision engine being programmed to: evaluate each flight path confidence score for each flight path relative to a flight path confidence threshold to identify a given flight path of the plurality of flight paths through the adverse weather condition that poses a least amount of structural risk to the aerial vehicle; select a flight path having a corresponding flight path confidence score that exceeds a threshold; generate flight control data characterizing flight commands for the aerial vehicle based on the selected flight path to maneuver through the adverse weather condition, wherein the flight control data causes the aerial vehicle to maneuver through the adverse weather condition; and characterised in that the maneuver decision engine is further programmed to generate MLM tuning data indicative of whether the given flight path is one a safe flight route or an unsafe flight route in response to maneuvering the aerial vehicle according to the given flight path through adverse weather condition. evaluate each flight path confidence score for each flight path relative to a flight path confidence threshold to identify a given flight path of the plurality of flight paths through the adverse weather condition that poses a least amount of structural risk to the aerial vehicle; select a flight path having a corresponding flight path confidence score that exceeds a threshold; generate flight control data characterizing flight commands for the aerial vehicle based on the selected flight path to maneuver through the adverse weather condition, wherein the flight control data causes the aerial vehicle to maneuver through the adverse weather condition; and characterised in that the maneuver decision engine is further programmed to generate MLM tuning data indicative of whether the given flight path is one a safe flight route or an unsafe flight route in response to maneuvering the aerial vehicle according to the given flight path through adverse weather condition.