EDITORIAL: BIG DATA MINING APPROACHES FOR HELPING TO REDUCE AND PREVENT GLOBAL WARMING-Reference-Cited by-同舟云学术

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EDITORIAL: BIG DATA MINING APPROACHES FOR HELPING TO REDUCE AND PREVENT GLOBAL WARMING

Published:2019-06 Issue:01 Volume:01 Page:1901001
ISSN:2630-5348
Container-title:International Journal of Big Data Mining for Global Warming
language:en
Short-container-title:Int. J. Big Data Mini. Glob. Warm.

Author:

HUISINGH DONALD¹,ZHANG ZHIHUA¹²³

Affiliation:

1. Institute for a Secure and Sustainable Environment University of Tennessee, Knoxville, TN, USA

2. Climate Modeling Laboratory, Department of Applied Mathematics and Interdisciplinary Science Center, Shandong University, Jinan, P. R. China

3. MOE Key Laboratory of Environmental Change and Natural Disaster Beijing Normal University, Beijing 100875, P. R. China

Publisher

World Scientific Pub Co Pte Lt

Link

https://www.worldscientific.com/doi/pdf/10.1142/S2630534819010010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Patterns and Teleconnection Mechanisms of Extreme Precipitation in Ethiopia during 1990–2020;Water;2023-11-07

2. Impacts of marine cloud brightening scheme on climatic extremes in the Tibetan Plateau;Open Geosciences;2023-01-01

3. DATA ANALYTICS FOR CLIMATE AND ATMOSPHERIC SCIENCE;International Journal of Big Data Mining for Global Warming;2021-06

4. How are nature based solutions helping in the greening of cities in the context of crises such as climate change and pandemics? A comprehensive review;Journal of Cleaner Production;2021-03

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