Prediction of Cloud Fractional Cover Using Machine Learning
Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of human society such as agriculture and solar energ...
Main Authors: | Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo, Hugo L. Hammer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
|
Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-2289/5/4/62 |
Similar Items
-
A dataset for predicting cloud cover over Europe
by: Hanna Svennevik, et al.
Published: (2024-02-01) -
Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations
by: Jędrzej S. Bojanowski, et al.
Published: (2018-05-01) -
Study on fractional vegetation cover dynamic in the Yellow River Basin, China from 1901 to 2100
by: Shengqi Jian, et al.
Published: (2023-04-01) -
Cloud Cover in the Australian Region: Development and Validation of a Cloud Masking, Classification and Optical Depth Retrieval Algorithm for the Advanced Himawari Imager
by: Yi Qin, et al.
Published: (2019-02-01) -
Data‐Driven Equation Discovery of a Cloud Cover Parameterization
by: Arthur Grundner, et al.
Published: (2024-03-01)