Displaying 1 - 9 of 9
Operations
Chen, Aifang; Giese, Markus; Chen, Deliang. 2020. Flood impact on Mainland Southeast Asia between 1985 and 2018—The role of tropical cyclones. [Journal of Flood Risk Management] . 13(2): e12598 DOI: https://doi.org/10.1111/jfr3.12598
SEDAC Data Collection(s):
(Journal Article)
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Chen, Aifang. 2020. Tropical Cyclone Induced Extreme Wind, Rainfall, and Floods in the Mekong River Basin. [Department of Earth Sciences] Chen, Deliang. Ph.D.: 50
Related URL(s): http://hdl.handle.net/2077/64068
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Thesis)
export
Du, Xinming; Jin, Xiaomeng; Zucker, Noah; Kennedy, Ryan; Urpelainen, Johannes. 2020. Transboundary air pollution from coal-fired power generation. [Journal of Environmental Management] . 270: 110862 DOI: https://doi.org/10.1016/j.jenvman.2020.110862
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Lindersson, Sara; Brandimarte, Luigia; Mård, Johanna; Di Baldassarre, Giuliano. 2020. A review of freely accessible global datasets for the study of floods, droughts and their interactions with human societies. [WIREs Water] . 7(3): e1424 DOI: https://doi.org/10.1002/wat2.1424
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
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Tennant, Elizabeth; Gilmore, Elisabeth A. 2020. Government effectiveness and institutions as determinants of tropical cyclone mortality. [Proceedings of the National Academy of Sciences] . 117(46): 28692-28699 DOI: https://doi.org/10.1073/pnas.2006213117
SEDAC Data Collection(s):
gpw-v4
povmap
(Journal Article)
export
Zhang, Ting; Liu, Penghui; Sun, Xue; Zhang, Can; Wang, Meng; Xu, Jia; Pu, Shengyan; Huang, Lei. 2020. Application of an advanced spatiotemporal model for PM2.5 prediction in Jiangsu Province, China. [Chemosphere] . 246: 125563 DOI: https://doi.org/10.1016/j.chemosphere.2019.125563
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Jin, Kai; Wang, Fei; Chen, Deliang; Liu, Huanhuan; Ding, Wenbin; Shi, Shangyu. 2019. A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series. [Scientific Data] . 6(1): 139 DOI: https://doi.org/10.1038/s41597-019-0143-1
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Meehan, Timothy D.; Michel, Nicole L.; Rue, Håvard. 2019. Spatial modeling of Audubon Christmas Bird Counts reveals fine-scale patterns and drivers of relative abundance trends. [Ecosphere] . 10(4): e02707 DOI: https://doi.org/10.1002/ecs2.2707
SEDAC Data Collection(s):
(Journal Article)
export
Meng, Jun; Li, Chi; Martin, Randall V.; van Donkelaar, Aaron; Hystad, Perry; Brauer, Michael. 2019. Estimated long-term (1981-2016) concentrations of ambient fine particulate matter across North America from chemical transport modeling, satellite remote sensing and ground-based measurements. [Environmental Science & Technology] . 53(9): 5071-5079 DOI: https://doi.org/10.1021/acs.est.8b06875
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
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