Statistical Modeling of Hydroclimatological Processes | Zendy

Hung Soo Kim | Zendy; Vijay P. Singh | Zendy; Ji Chen | Zendy

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Statistical Modeling of Hydroclimatological Processes

Author(s) -

Hung Soo Kim,

Vijay P. Singh,

Ji Chen

Publication year - 2016

Publication title -

advances in meteorology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.482

H-Index - 32

eISSN - 1687-9317

pISSN - 1687-9309

DOI - 10.1155/2016/9735215

Subject(s) - downscaling , hydrometeorology , streamflow , precipitation , climatology , natural disaster , climate change , geography , range (aeronautics) , meteorology , environmental science , cartography , drainage basin , engineering , geology , oceanography , aerospace engineering

The aimof this special issue is to provide a forum for advances in the analysis and assessment of heavy precipitation, floods, and droughts.This issue covers a wide range of topics, such as statistical and stochasticmethods for extreme events, rainfallrunoffmodeling, spatiotemporal analysis of natural disasters, predicting and adapting to floods or droughts due to climate change, applying of advanced scientific technology, and risk based design for disaster management. Therefore, the guest editors invited contributors who are experts in the aforementioned fields and finally 9 papers were accepted.The papers cover some wide ranges of topics which treated (1) extreme climate signals in hydrometeorological processes, (2) downscaling anddecomposition of rainfall data for climate change analysis, and (3) understating seasonal hydrologic mechanism, drought forecasting, and long-term simulation of streamflow using radar rainfall.

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