SPLIDHOM: A Method for Homogenization of Daily Temperature Observations
By O. Mestre, C. Gruber, Clémentine Prieur, Henri Caussinus, S. Jourdain. 2011
84 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/afbb43b48a1c37945f2c40bb5720ecf57a2ab0b4
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In Environmental Engineering
In Global and Planetary Change
- Aurélien Ribes
- Friederike E. L. Otto
- Michael F. Wehner
- G. J. van Oldenborgh
- Yoann Robin
- C. Morice
- P. Stott
- Yani Zhu
Citations in the corpus
- Human contribution to the record-breaking June and July 2019 heatwaves in Western Europe (2020, methodology): “However, no homogenization procedure is applied, as homogenization of daily time-series remains a challenging task (Mestre et al 2011).”
- Pairwise homogeneity assessment of HadISD (2014, background): “In some cases change points are detected and inhomogeneity magnitudes determined on longer timescales (monthly or annual), and then the daily data are adjusted (Vincent et al., 2002; Kuglitsch et al., 2009; Mestre et al., 2011; Trewin, 2013).”
- Comparison of two homogenized datasets of daily maximum/mean/minimum temperature in China during 1960–2013 (2016, methodology): “Coll (2010) showed that the adjusted series based on Percentiles (Štěpánek, 2009), HOM (Della-Marta and Wanner, 2006), SPLIDHOM (Mestre et al., 2011), and the Vincent method (Vincent et al., 2002) were similar, but different from those based on Quantile Matching (QM; Wang et al., 2010; Vincent et”