Using the particle swarm optimization algorithm to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River-Reference-Cited by-同舟云学术

Using the particle swarm optimization algorithm to calibrate the parameters relating to the turbulent flux in the surface layer in the source region of the Yellow River

Published:2017-01 Issue: Volume:232 Page:606-622
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Yang Qidong,Wu Jian,Li Yueqing,Li Weidong,Wang Lijuan,Yang Yang

Funder

R&D Special Fund for Public Welfare Industry

Natural Science Foundation of China

Yunnan Province

Jiangsu Collaborative Innovation Center for Climate Change

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

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4. Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River;Chau;J. Hydrol.,2006

5. Impact of atmospheric surface-layer parameterizations in the new land-surface scheme of the NCEP mesoscale eta model;Chen;Boundary-Layer Meteorol.,1997

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