TY  - Data
T1  - A long-term monthly dataset of cloud fraction over the Arctic based on multiple satellite products using cumulative distribution function matching and Bayesian maximum entropy
A1  - He Tao
A1  - None
DO  - 10.5281/zenodo.7624605
PY  - 2023
DA  - 2023-12-27
PB  - National Cryosphere Desert Data Center
AB  - The low accuracy of satellite Cloud fraction (CF) over the Arctic seriously restricts accurate assessment of regional and global radiant energy balance under the changing climate. Previous studies have reported that not a single satellite CF product could satisfy the needs of accuracy and spatio-temporal coverage simultaneously for long-term applications over the Arctic. Merging multiple CF products with complementary properties is an effective way to produce more spatiotemporally complete and accurate CF data record. This study proposed a spatiotemporal statistical data fusion framework based on cumulative distribution function (CDF) matching and Bayesian maximum entropy (BME) method to produce a syncretic 1°×1° CF dataset in the Arctic during 2000-2020.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/0275c956-029e-4ffd-8c5c-b17691250efe
ER  -