2017
DOI: 10.4267/2042/62457
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Évaluation de la ressource éolienne terrestre en France

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Cited by 1 publication
(2 citation statements)
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“…To understand the possible LWTs attribution differences between RCMs and reanalysis, the EURO-CORDEX daily variables are first compared to the corresponding AROME reanalysis variables rather than to the meteorological station observations. While Pouponneau et al (2017) and Hidalgo and Jougla (2018) highlighted the high quality of the AROME reanalysis both in terms of the individual meteorological variable's biases and the LWTs attribution, it is not expected to perfectly match station observations. Therefore, the RCMs evaluation presented below focuses more on the agreement between RCMs and AROME than on a general assessment of the quality of the RCMs.…”
Section: Evaluation Of Euro-cordex Rcmsmentioning
confidence: 93%
See 1 more Smart Citation
“…To understand the possible LWTs attribution differences between RCMs and reanalysis, the EURO-CORDEX daily variables are first compared to the corresponding AROME reanalysis variables rather than to the meteorological station observations. While Pouponneau et al (2017) and Hidalgo and Jougla (2018) highlighted the high quality of the AROME reanalysis both in terms of the individual meteorological variable's biases and the LWTs attribution, it is not expected to perfectly match station observations. Therefore, the RCMs evaluation presented below focuses more on the agreement between RCMs and AROME than on a general assessment of the quality of the RCMs.…”
Section: Evaluation Of Euro-cordex Rcmsmentioning
confidence: 93%
“…They used the "Partition Around Medoids" clustering algorithm (PAM; Kaufman and Rousseeuw, 1990) in combination with Gower's distance (Gower 1971) as a measure of dissimilarity for a set of five daily variables: the daily near-surface (2 m above the ground) thermal amplitude (dT) computed from the minimum and maximum air temperatures (TN and TX), specific humidity (Q), precipitation rate (RR), wind speed (FF) and direction (DD) computed from the zonal and meridional wind components (U and V). The meteorological data required for the LWTs attribution were taken from a reanalysis produced with the French numerical weather prediction model AROME (Seity et al 2011) with a 2.5-km resolution over the 10-year period 2000-2009 (Pouponneau et al 2017). This classification method was evaluated for Toulouse (Hidalgo and Jougla 2018), and Orléans, Paris, and Tours (Jougla et al 2019).…”
Section: Local Weather Type Climatologymentioning
confidence: 99%