Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?

Global reanalysis products have become essential tools employed towards the understanding of past climates, which are extensively employed by the wind energy industry to assess and develop wind resources. In this study, the terrestrial near-surface wind speed (NSWS) in the 40 year global reanalysis dataset released by China Meteorological Administration (CRA-40) was employed and compared with four state-of-the-art global reanalysis products, namely the European Centre for Medium-Range Weather Forecasts reanalysis version 5 (ERA5), National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis (NCEP1), National Centers for Environmental Prediction-Department of Energy reanalysis (NCEP2), and the Japanese 55 year reanalysis (JRA55). Large discrepancies were revealed among the reanalysis products in NSWSs across China. CRA-40 captures the climatology, seasonal, interannual, and monthly changes, as well as the terrestrial stilling compared with the recent observed increase. In contrast, NCEP1 and NCEP2 fail to reproduce the climatology and monthly changes in the observed NSWSs. Although JRA55 captures the terrestrial stilling in observations, it underestimates the mean value of NSWS. Therefore, CRA-40 provides the best agreement with stronger and more significant correlations against the observations when compared to other reanalysis products, and reproduces the observed multi-decadal variability. Thus, CRA-40 is the optimal choice to investigate NSWS with high spatial and temporal resolution across China, with a wide array of socioeconomic and environmental impacts.

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Bibliographic Details
Main Authors: Shen, Cheng, Zha, Jinlin, Wu, Jian, Zhao, Deming, Azorín-Molina, César, Fan, Wenxuan, Yu, Yue
Other Authors: National Key Research and Development Program (China)
Format: artículo biblioteca
Published: Elsevier 2022-03
Subjects:Wind speed, Reanalysis products, CRA-40, Terrestrial stilling, Reversal,
Online Access:http://hdl.handle.net/10261/284257
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100002858
http://dx.doi.org/10.13039/501100002367
http://dx.doi.org/10.13039/501100001809
http://dx.doi.org/10.13039/501100003329
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id dig-cide-es-10261-284257
record_format koha
institution CIDE ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-cide-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del CIDE España
topic Wind speed
Reanalysis products
CRA-40
Terrestrial stilling
Reversal
Wind speed
Reanalysis products
CRA-40
Terrestrial stilling
Reversal
spellingShingle Wind speed
Reanalysis products
CRA-40
Terrestrial stilling
Reversal
Wind speed
Reanalysis products
CRA-40
Terrestrial stilling
Reversal
Shen, Cheng
Zha, Jinlin
Wu, Jian
Zhao, Deming
Azorín-Molina, César
Fan, Wenxuan
Yu, Yue
Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?
description Global reanalysis products have become essential tools employed towards the understanding of past climates, which are extensively employed by the wind energy industry to assess and develop wind resources. In this study, the terrestrial near-surface wind speed (NSWS) in the 40 year global reanalysis dataset released by China Meteorological Administration (CRA-40) was employed and compared with four state-of-the-art global reanalysis products, namely the European Centre for Medium-Range Weather Forecasts reanalysis version 5 (ERA5), National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis (NCEP1), National Centers for Environmental Prediction-Department of Energy reanalysis (NCEP2), and the Japanese 55 year reanalysis (JRA55). Large discrepancies were revealed among the reanalysis products in NSWSs across China. CRA-40 captures the climatology, seasonal, interannual, and monthly changes, as well as the terrestrial stilling compared with the recent observed increase. In contrast, NCEP1 and NCEP2 fail to reproduce the climatology and monthly changes in the observed NSWSs. Although JRA55 captures the terrestrial stilling in observations, it underestimates the mean value of NSWS. Therefore, CRA-40 provides the best agreement with stronger and more significant correlations against the observations when compared to other reanalysis products, and reproduces the observed multi-decadal variability. Thus, CRA-40 is the optimal choice to investigate NSWS with high spatial and temporal resolution across China, with a wide array of socioeconomic and environmental impacts.
author2 National Key Research and Development Program (China)
author_facet National Key Research and Development Program (China)
Shen, Cheng
Zha, Jinlin
Wu, Jian
Zhao, Deming
Azorín-Molina, César
Fan, Wenxuan
Yu, Yue
format artículo
topic_facet Wind speed
Reanalysis products
CRA-40
Terrestrial stilling
Reversal
author Shen, Cheng
Zha, Jinlin
Wu, Jian
Zhao, Deming
Azorín-Molina, César
Fan, Wenxuan
Yu, Yue
author_sort Shen, Cheng
title Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?
title_short Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?
title_full Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?
title_fullStr Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?
title_full_unstemmed Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China?
title_sort does cra-40 outperform other reanalysis products in evaluating near-surface wind speed changes over china?
publisher Elsevier
publishDate 2022-03
url http://hdl.handle.net/10261/284257
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100002858
http://dx.doi.org/10.13039/501100002367
http://dx.doi.org/10.13039/501100001809
http://dx.doi.org/10.13039/501100003329
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spelling dig-cide-es-10261-2842572022-12-01T12:24:45Z Does CRA-40 outperform other reanalysis products in evaluating near-surface wind speed changes over China? Shen, Cheng Zha, Jinlin Wu, Jian Zhao, Deming Azorín-Molina, César Fan, Wenxuan Yu, Yue National Key Research and Development Program (China) National Natural Science Foundation of China China Postdoctoral Science Foundation Foundation for Introducing Talent of Nanjing University of Information Science and Technology Chinese Academy of Sciences Yunnan University Jiangsu Collaborative Innovation Center of Climate Change Ministerio de Economía y Competitividad (España) Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Wind speed Reanalysis products CRA-40 Terrestrial stilling Reversal Global reanalysis products have become essential tools employed towards the understanding of past climates, which are extensively employed by the wind energy industry to assess and develop wind resources. In this study, the terrestrial near-surface wind speed (NSWS) in the 40 year global reanalysis dataset released by China Meteorological Administration (CRA-40) was employed and compared with four state-of-the-art global reanalysis products, namely the European Centre for Medium-Range Weather Forecasts reanalysis version 5 (ERA5), National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis (NCEP1), National Centers for Environmental Prediction-Department of Energy reanalysis (NCEP2), and the Japanese 55 year reanalysis (JRA55). Large discrepancies were revealed among the reanalysis products in NSWSs across China. CRA-40 captures the climatology, seasonal, interannual, and monthly changes, as well as the terrestrial stilling compared with the recent observed increase. In contrast, NCEP1 and NCEP2 fail to reproduce the climatology and monthly changes in the observed NSWSs. Although JRA55 captures the terrestrial stilling in observations, it underestimates the mean value of NSWS. Therefore, CRA-40 provides the best agreement with stronger and more significant correlations against the observations when compared to other reanalysis products, and reproduces the observed multi-decadal variability. Thus, CRA-40 is the optimal choice to investigate NSWS with high spatial and temporal resolution across China, with a wide array of socioeconomic and environmental impacts. The work is supported by National Key Research and Development Program of China (grant number 2018YFA0606004), National Natural Science Foundation of China (grant numbers 42005023, 41875178, 41775087), Project funded by China Postdoctoral Science Foundation (grant number 2019M660761), and Nanjing Meteorological Bureau Scientific Project (grant number NJ202103). This work is also supported by the Program for Special Research Assistant Project of Chinese Academy of Sciences, the Program for Key Laboratory in University of Yunnan Province, and the Chinese Jiangsu Collaborative Innovation Center for Climate Change, and the C.A.M. was supported by Ramon y Cajal fellowship (RYC-2017-22830) and the grants no. VR-2017-03780 and RTI2018-095749-A-I00 (MCIU/AEI/FEDER, UE). 2022-11-30T14:10:04Z 2022-11-30T14:10:04Z 2022-03 2022-11-30T14:10:05Z artículo doi: 10.1016/j.atmosres.2021.105948 issn: 0169-8095 Atmospheric Research 266: 105948 (2022) http://hdl.handle.net/10261/284257 10.1016/j.atmosres.2021.105948 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100002858 http://dx.doi.org/10.13039/501100002367 http://dx.doi.org/10.13039/501100001809 http://dx.doi.org/10.13039/501100003329 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO//RYC-2017-22830 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095749-A-I00/ES/EVALUACION Y ATRIBUCION DE LA VARIABILIDAD DE LA VELOCIDAD MEDIA Y LAS RACHAS MAXIMAS DE VIENTO: CAUSAS DEL FENOMENO STILLING/ Publisher's version http://dx.doi.org/10.1016/j.atmosres.2021.105948 Sí open application/pdf Elsevier