The assimilation of AIRS radiance data at ECMWF
By T. McNally, Philip D. Watts, M. Matricardi, J. Smith, Jean-Noel Thepaut, R. Engelen, G. Kelly. 2006
253 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/07a9076c2fc9b721c2cbe42194c2e0f9843f6896
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
- A. P. McNally
- Andrew Collard
- S. B. Healy
- William A. Lahoz
- Philipp Schneider
- John Eyre
- Dick Dee
In Global and Planetary Change
- Alan J. Geer
- A. P. McNally
- Andrew Collard
- S. B. Healy
- William A. Lahoz
- Philipp Schneider
- John Eyre
- Dick Dee
Citations in the corpus
- The ERA5 global reanalysis (2020, methodology): “AIRS radiances were assimilated from October 2002 (McNally et al., 2006) and by June 2019 radiances from two CrIS instruments (S-NPP and NOAA-20; Eresmaa et al., 2017) and two IASI instruments (Metop-A and -”
- The assimilation of Infrared Atmospheric Sounding Interferometer radiances at ECMWF (2009, methodology): “The exploitation of IASI data at ECMWF has been based on the system used for the operational assimilation of radiances from the Atmospheric Infrared Sounder (AIRS) instrument since September 2003 (McNally et al., 2006).”
- Data assimilation: making sense of Earth Observation (2014, background): “Radiance assimilation has been shown to improve the overall skill of weather forecasts (Saunders et al., 1999; McNally et al., 2006).”
- Adaptive bias correction for satellite data in a numerical weather prediction system (2007, result): “The large positive departures over the southern winter pole reflect a known systematic NWP model error that has been confirmed by a number of independent studies, for MIPAS (Dethof, 2004), GPS (Healy and Thépaut, 2006) and AIRS (McNally et al., 2006).”
- The assimilation of cloud‐affected infrared satellite radiances for numerical weather prediction (2008, background): “Radiances measured by AIRS have been assimilated at several NWP centres for a number of years, and have been shown to make a significant, positive impact on forecast accuracy (e.g. Cameron et al., 2005; McNally et al., 2006; Le Marshall et al., 2006).”