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**Camera Images Ceiling and Visibility (CICV) database**

The purpose of this database is to be able to provide a constant, real-time/up-to-date set of data points which will then be used to train a Machine Learning (ML) algorithm that can produce it's own real-time cloud ceiling data along with the ability to forecast ceiling heights.

Documentation and information is provided below; related to the collection of Camera Images and Ceiling (CIC) data and creation of a database for a ML algorithm which will be trained on the combined data from three types of data sites within a given geographical area available for the public:

  - Surface CAM images (by extracting images and features from CAM imagery such as weather cameras, road cameras, etc), 
  - Ceilometers (by processing data and numbers from METAR, ASOS, AWOS, etc)

**Public Ceiling and Visibility Datasets**

  * [[ARM Data Center]]


  * [[Iowa State University ASOS-AWOS-METAR Data]]

**Public Camera Image Sets**

  * [[ARM Data Center]]

  * [[FAA WeatherCams]]

  * [[WeatherBug]]


**Creating the Database**

Once downloaded, they will be documented and paired with metadata such as:

  * Location
  * Date
  * Camera Location
  * METAR/ASOS Features

This categorization and metadata pairing will allow for organized and structured access to the ceiling data within the CIC database.

**Methods**

The following link provides a step-by-step run down on how research for this project is conducted and how data is obtained.

  * [[Methodology]]