Statistical–dynamical downscaling of wind fields using self-organizing maps-Reference-Cited by-同舟云学术

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Statistical–dynamical downscaling of wind fields using self-organizing maps

Published:2015-01 Issue: Volume:75 Page:1201-1209
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Chávez-Arroyo Roberto,Lozano-Galiana Sergio,Sanz-Rodrigo Javier,Probst Oliver

Funder

Tecnológico de Monterrey

Mexican Council for Science and Technology (CONACyT)

CENER

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference36 articles.

1. Mesoscale meteorological modeling;Pielke,2002

2. Downscaling general circulation model output: a review of methods and limitations;Wilby;Prog Phys Geogr,1997

3. Offshore wind resource assessment with WAsP and MM5: comparative study for the German Bight;Jimenez;Wind Energy,2007

4. Surface wind regionalization over complex terrain: evaluation and analysis of a high-resolution WRF simulation;Jiménez;Appl Meteorol Clim,2010

5. Global distribution and characteristics of diurnally varying low-level jets;Rife;J Clim,2010

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2. Statistical downscaling using principal component regression for climate change impact assessment at the Cauvery river basin;Journal of Water and Climate Change;2021-03-12

3. The making of the New European Wind Atlas – Part 1: Model sensitivity;Geoscientific Model Development;2020-10-27

4. Automated classification of simulated wind field patterns from multiphysics ensemble forecasts;Wind Energy;2020-04

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