Application of Space-Time Statistics in Water Resources

Dear Colleagues,

This Special Issue covers the broad topic of the application of space-time statistics to the impact of climate change on water resources and the management of water resources. Relevant topics include but are not
limited to:

• Methodology for modeling the inhomogenous space-time data that are often correlated and have heavy tailed probability distributions.
• Statistical tests or methods for comparing precipitation or other climate variables at different time periods or different spatial regions.
• Analysis to quantify the changes in spatio-temporal patterns of precipitation.
• Geospatial methods.
• Extremes of precipitation (drought and flood).
• Projection of future precipitation and uncertainty analysis.
• Water resources and economy in the context of climate change.
• Monitoring of water resources.
• Data fusion in water resources.

Prof. Dr. Hao Zhang
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

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