A sensitivity study of surface wind simulations to PBL schemes for the southern part of Andhra Pradesh, India-Reference-Cited by-同舟云学术

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A sensitivity study of surface wind simulations to PBL schemes for the southern part of Andhra Pradesh, India

Published:2023-05-28 Issue:10 Volume:37 Page:3763-3777
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Penugonda Sunil Babu,Singhal M. K.,Saini R. P.

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02478-1.pdf

Reference29 articles.

1. Al-yahyai S, Charabi Y, Gastli A (2010) Review of the use of numerical weather prediction (NWP) models for wind energy assessment. Renew Sustain Energy Rev 14(9):3192–3198. https://doi.org/10.1016/j.rser.2010.07.001

2. Banks RF et al (2016) Sensitivity of boundary-layer variables to PBL schemes in the WRF model based on surface meteorological observations, lidar, and radiosondes during the HygrA-CD campaign. Atmos Res 176–177:185–201. https://doi.org/10.1016/j.atmosres.2016.02.024

3. Carvalho D, Rocha A, Gómez-Gesteira M, Santos C (2012) A sensitivity study of the WRF model in wind simulation for an area of high wind energy. Environ Model Softw 33:23–34. https://doi.org/10.1016/j.envsoft.2012.01.019

4. Carvalho D, Rocha A, Santos CS, Pereira R (2013) Wind resource modelling in complex terrain using different mesoscale-microscale coupling techniques. Appl Energy 108:493–504. https://doi.org/10.1016/j.apenergy.2013.03.074

5. Carvalho D, Rocha A, Gómez-Gesteira M, Silva Santos C (2014) WRF wind simulation and wind energy production estimates forced by different reanalyses: comparison with observed data for portugal. Appl Energy 134:57–64. https://doi.org/10.1016/j.apenergy.2013.12.001

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