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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Compound coastal flooding in San Francisco Bay under climate change

Authors: Wang, Zhenqiang;

Compound coastal flooding in San Francisco Bay under climate change

Abstract

These files provide the data that are used for the compound coastal flooding analysis in San Francisco Bay under climate change. If you have used this dataset, please cite our papers:"Wang, Z., Leung, M., Mukhopadhyay, S. et al. Compound coastal flooding in San Francisco Bay under climate change. npj Nat. Hazards 2, 3 (2025). https://doi.org/10.1038/s44304-024-00057-0" . "Wang, Zhenqiang, et al. "A hybrid statistical–dynamical framework for compound coastal flooding analysis." Environmental Research Letters 20.1 (2024): 014005." The Python codes for GPU/CPU-accelerated Exact Gaussian Process Regression (GPR) using GPyTorch and PyTorch with parallel processing across multiple GPUs or CPU cores for both training and prediction can be found at https://github.com/NearshoreAllstars/MachineLearning. 

Keywords

Machine Learning, Coastal flooding, Climate Change

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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