Simulating precipitation in the Northeast United States using a climate‐informed K ‐nearest neighbour algorithm-Reference-Cited by-同舟云学术

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Simulating precipitation in the Northeast United States using a climate‐informed K ‐nearest neighbour algorithm

Published:2020-07-21 Issue:20 Volume:34 Page:3966-3980
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Armal Saman¹²³^ORCID,Devineni Naresh¹²³,Krakauer Nir Y.¹²³,Khanbilvardi Reza¹²³

Affiliation:

1. Department of Civil Engineering The City University of New York (City College) New York City New York USA

2. NOAA‐Cooperative Center for Earth System Sciences and Remote Sensing Technologies The City University of New York (City College) New York City New York USA

3. Center for Water Resources and Environmental Research The City University of New York (City College) New York City New York USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.13853

Reference69 articles.

1. Stochastic weather generators: An overview of weather type models;Ailliot P.;Journal de la Société Française de Statistique,2015

2. An assessment of Box‐Jenkins models: Forcados monthly rainfall as case study;Aiyesimoju K. O.;Journal of Applied Science, Engineering and Technology,2010

3. Global observed changes in daily climate extremes of temperature and precipitation

4. Trends in Extreme Rainfall Frequency in the Contiguous United States: Attribution to Climate Change and Climate Variability Modes

5. Anomalies in the US precipitation extremes and their association with different modes of climate variability

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