The growing impact of satellite observations sensitive to humidity, cloud and precipitation
By Alan J. Geer, F. Baordo, Niels Bormann, Philippe Chambon, Stephen J. English, Masahiro Kazumori, Heather Lawrence, Peter Lean, K. Lonitz, C. Lupu. 2017
213 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/64098a053a2b82e7249ec3578122c60a49ba9ba9
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
- L. Haimberger
- Richard G. Forbes
- S. B. Healy
- Hans Hersbach
- Jean-Noel Thepaut
- M. Janisková
- R. Radu
In Global and Planetary Change
- Alan J. Geer
- L. Haimberger
- Richard G. Forbes
- S. B. Healy
- Jean-Noel Thepaut
- R. Radu
- P. Berrisford
- Hans Hersbach
Citations in the corpus
- The ERA5 global reanalysis (2020, methodology): “Humidity information throughout the troposphere is obtained from passive microwave observations, for most sensors using the all-sky approach (Geer et al., 2017).”
- Can deep learning beat numerical weather prediction? (2021, background): “While in situ observations (weather stations and radiosondes) have a long history in observing the Earth’s atmosphere, fundamental improvements in the spatiotemporal coverage of observations has been achieved with the help of satellite data over recent decades (e.g [23]).”