New Techniques for the Detection and Adjustment of Shifts in Daily Precipitation Data Series

By Xiaolan L. Wang, Hanfeng Chen, Yuehua Wu, Yang Feng, Qiang Pu. 2010

280 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/07fb2ce3508f556233fb95609fae3b1aa6118774

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. P. Domonkos
2. Zhen Li
3. L. Haimberger
4. Xiaolan L. Wang
5. Lijuan Cao
6. A. Dai
7. Yani Zhu
8. P. Thorne

Citations in the corpus

• SPLIDHOM: A Method for Homogenization of Daily Temperature Observations (2011, methodology): “2010), and a quantile-matching technique (Wang et al. 2010).”
• Homogenization of precipitation time series with ACMANT (2015, background): “One option for PP homogenization is that the logarithms of PP values are examined instead of the raw data (Toreti et al. 2009;Wang et al. 2010; Buishand et al. 2013; etc.), because the statistical properties of the transformed variable are similar to that of the air surface temperature, and the…”
• A New Approach to Homogenize Daily Radiosonde Humidity Data (2011, methodology): “(10) in Wang et al. (2010)]; 4) fit a natural spline to the (accumulated) Mq category-mean differences between the segment to be adjusted and the reference segment (Fig.”
• Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau (2017, background): “, streamflow, precipitation, and evaporation) are commonly transformed to ensure that the transformed data are approximately Gaussian distributed (Chen et al., 2015; Christensen et al., 2001; Duan et al., 2007; Wang et al., 2010; Zhang & Singh, 2007).”
• 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”