Homogenization of the Global Radiosonde Temperature Dataset through Combined Comparison with Reanalysis Background Series and Neighboring Stations
By L. Haimberger, Christina Tavolato, S. Sperka. 2012
152 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/ebe4f053d03564b79db56b8f5c694364fddf7df4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Alan J. Geer
- Andrew Gettelman
- L. Haimberger
- Steven Ghan
- R. Easter
- J. Whitaker
- Gilbert P. Compo
- Jean-Noel Thepaut
In Global and Planetary Change
- Alan J. Geer
- Andrew Gettelman
- L. Haimberger
- Steven Ghan
- R. Easter
- J. Whitaker
- Gilbert P. Compo
- Jean-Noel Thepaut
Citations in the corpus
- The ERA5 global reanalysis (2020, methodology): “, 2008) homogenization as in ERA-Interim is used, where estimates are now also based on comparison between neighbouring stations, rather than from departure statistics alone (RICH; Haimberger et al., 2012).”
- Global volcanic aerosol properties derived from emissions, 1990–2014, using CESM1(WACCM) (2016, methodology): “Global radiosonde temperature observations compiled with the Radiosonde Innovation Composite Homogenization (RICH-obs) software package [Haimberger et al., 2012] are shown in black.”
- Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems (2016, background): “Several recent reanalysis systems also assimilate homogenized radiosonde data (Haimberger et al., 2008, 2012) to help limit the impacts of changes in the conventional observing system.”