Systems and methods are provided for estimating atmospheric properties using a LIDAR sensor. A control system includes a LIDAR sensor configured to detect a distance to an object, and an intensity of light reflected by the object. A controller's a target selection module determines whether the object is a target for use in estimating the atmospheric properties. A data collection module collects values of the distance and the intensity as detected by the LIDAR sensor. The atmospheric properties are determined based on the values of the distance and the intensity. In response to the determined atmospheric properties, the actuator is operated to effect an action.

Systems and methods are provided for estimating atmospheric properties using a LIDAR sensor. A control system includes a LIDAR sensor configured to detect a distance to an object, and an intensity of light reflected by the object. A controller's a target selection module determines whether the object is a target for use in estimating the atmospheric properties. A data collection module collects values of the distance and the intensity as detected by the LIDAR sensor. The atmospheric properties are determined based on the values of the distance and the intensity. In response to the determined atmospheric properties, the actuator is operated to effect an action.

Apparatus and associated methods relate to determining metrics of a cloud atmosphere using time difference measurements. A light projector projects a pulse of light into a cloud atmosphere, and a light sensor detects a portion of the projected pulse of light backscattered by the cloud atmosphere. A backscatter coefficient is calculated based on peak amplitude of the detected portion. An optical extinction coefficient is calculated based on a time difference between a peak time and a post-peak time, which correspond to times at which the peak amplitude of the detected portion occurs and at which the detected portion equals or crosses a sub-peak threshold, respectively. In some embodiments, a logarithm amplifier is used to facilitate processing of signals of widely varying amplitudes. In some embodiments, the sub-peak threshold is calculated as a fraction of the peak amplitude of the detected portion.

Apparatus and associated methods relate to determining metrics of a cloud atmosphere using time difference measurements. A light projector projects a pulse of light into a cloud atmosphere, and a light sensor detects a portion of the projected pulse of light backscattered by the cloud atmosphere. A backscatter coefficient is calculated based on peak amplitude of the detected portion. An optical extinction coefficient is calculated based on a time difference between a peak time and a post-peak time, which correspond to times at which the peak amplitude of the detected portion occurs and at which the detected portion equals or crosses a sub-peak threshold, respectively. In some embodiments, a logarithm amplifier is used to facilitate processing of signals of widely varying amplitudes. In some embodiments, the sub-peak threshold is calculated as a fraction of the peak amplitude of the detected portion.

Apparatus and associated methods relate to determining an effective size, quantity, shape, and type of water particles in a cloud atmosphere based on differences in amplitudes of optical signals backscattered at different backscattering angles. Off-axis backscattering—backscattering at angles other than 180 degrees—is affected by the effective size, quantity, shape, and type of water droplets. Detected amplitudes of optical signals that are backscattered at different angles are used to indicate the effective size, quantity, shape, and type of water particles in the cloud atmosphere. In some embodiments, optical emitters and detectors are configured to measure amplitudes of optical signals backscattered at backscattering angles of both on-axis—180 degrees—and off-axis varieties.

Apparatus and associated methods relate to determining an effective size, quantity, shape, and type of water particles in a cloud atmosphere based on differences in amplitudes of optical signals backscattered at different backscattering angles. Off-axis backscattering—backscattering at angles other than 180 degrees—is affected by the effective size, quantity, shape, and type of water droplets. Detected amplitudes of optical signals that are backscattered at different angles are used to indicate the effective size, quantity, shape, and type of water particles in the cloud atmosphere. In some embodiments, optical emitters and detectors are configured to measure amplitudes of optical signals backscattered at backscattering angles of both on-axis—180 degrees—and off-axis varieties.

A method for inverting aerosol components using a LiDAR ratio and a depolarization ratio, includes: S1. identifying sand dust, a spherical aerosol and a mixture of the sand dust and the spherical aerosol based on a depolarization ratio; S2. calculating a proportion of the sand dust in the mixture of the sand dust and the spherical aerosol; and S3. identifying soot and a water-soluble aerosol in the spherical aerosol based on a LiDAR ratio. In the present disclosure, only a wavelength with a polarization channel is needed, to identify the aerosol components, achieving high accuracy with low detection costs.

A system, device and methodology for detecting an object and its position in a field of view of a beam fan. The system can comprise a reflection detector sensor array arranged to detect a light beam reflected by an object impinged by a beam fan in the field of view and output a reflected beam position trigger signal; a line sensor arranged to capture an image of the reflected light beam and output beam reflection data corresponding to the light beam; an angle position sensor array arranged to detect an angle of the beam fan with respect to a central axis and output a beam fan position signal; and a speedup processor arranged to receive the reflected beam position trigger signal, receive the beam reflection data, receive the beam fan position signal, and output the beam reflection data to a central processor. A position of the object in the field of view can be determined based on the beam reflection data and beam fan position signal.

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.

An assembly and method for using weather sensors with enhanced modular capability is disclosed. The weather sensor assembly generally comprises a cap module, middle module, and a base module, where the cap module, middle module(s) and the base module are stacked adjacently to provide environmental sealing, weather sensing, and electrical connectivity to the weather sensor assembly. One or more ring mechanisms may be included that interlock the cap module, middle module(s), base module to form the weather sensor assembly into an integrated unit. Moreover, the ring mechanisms enable further modules to be added to the weather sensor assembly for additional capabilities. By doing so, each of the modules in the weather sensor assembly may be independent units that can be removed, reordered, swapped, and added for desired sensing modalities and environments.