Geospatial-temporal Heterogeneity Embedded Graph Neural Network for AERONET AOD Forecasting-Reference-Cited by-同舟云学术

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Geospatial-temporal Heterogeneity Embedded Graph Neural Network for AERONET AOD Forecasting

Published:2024-03-14 Issue: Volume:33 Page:12-22
ISSN:
Container-title:2024 16th International Conference on Computer and Automation Engineering (ICCAE)
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Author:

Kou Xifeng¹,Xu Qingshan¹,Cai Yi²

Affiliation:

1. Hefei Institutes of Physical Science, Chinese Academy of Sciences,Key Laboratory of General Optical Calibration and Characterization Technology,Hefei,China,230031

2. Hefei Institutes of Physical Science, Chinese Academy of Sciences,Laboratory of Photoelectric Detection,Hefei,China,230031

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10569140/10569143/10569855.pdf?arnumber=10569855

Reference52 articles.

1. AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization

2. Climate Forcing by Anthropogenic Aerosols

3. Aerosol Indirect Effect on Biogeochemical Cycles and Climate

4. Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations

5. Aerosols, Climate, and the Hydrological Cycle

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