Comprehensive Automated Quality Assurance of Daily Surface Observations
By I. Durre, MattheW, Menne, Byron, Gleason, Tamara, Houston, Russell, Vose. 2010
335 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/62c48dd05cbb3c5e17a7cae152dba9978dbc9865
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In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- An Overview of the Global Historical Climatology Network-Daily Database (2012, positive): “Described in greater detail in Durre et al. (2010), these tests identify a variety of data problems, including the duplication of data records; exceedance of physical, absolute, and climatological limits; excessive temporal persistence; excessively large gaps in the distributions of values;…”
- High-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections (2023, background): “…meteorological stations worldwide from the following ten sources: (i) the Global Historical Climatology Network-Daily (GHCN-D) dataset 74 To eliminate long sequences of erroneous zero precipitation often present in GSOD time series 76,77 , we applied a central moving mean with a one-year window.”
- Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method (2021, background): “Station data represent direct climatological measurements and are available throughout the Northeastern USA (Peterson and Vose 1997; Durre et al. 2010).”