scholarly journals Next-Generation Numerical Weather Prediction: Bridging Parameterization, Explicit Clouds, and Large Eddies

2012 ◽  
Vol 93 (1) ◽  
pp. ES6-ES9 ◽  
Author(s):  
Song-You Hong ◽  
Jimy Dudhia
Keyword(s):  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Next Generation ◽  
Numerical Weather ◽  
Large Eddies

scholarly journals Assessment of New Satellite Missions within the Framework of Numerical Weather Prediction

2020 ◽  
Vol 12 (10) ◽  
pp. 1580 ◽  
Author(s):  
Stuart Newman ◽  
Fabien Carminati ◽  
Heather Lawrence ◽  
Niels Bormann ◽  
Kirsti Salonen ◽  
...  
Keyword(s):  
Numerical Weather Prediction ◽  
Gap Analysis ◽  
Weather Prediction ◽  
Data Sets ◽  
Next Generation ◽  
Numerical Weather ◽  
Surface Emission ◽  
Precipitation Measurement ◽  
Microwave Imager ◽  
Global Precipitation

Confidence in the use of Earth observations for monitoring essential climate variables (ECVs) relies on the validation of satellite calibration accuracy to within a well-defined uncertainty. The gap analysis for integrated atmospheric ECV climate monitoring (GAIA-CLIM) project investigated the calibration/validation of satellite data sets using non-satellite reference data. Here, we explore the role of numerical weather prediction (NWP) frameworks for the assessment of several meteorological satellite sensors: the advanced microwave scanning radiometer 2 (AMSR2), microwave humidity sounder-2 (MWHS-2), microwave radiation imager (MWRI), and global precipitation measurement (GPM) microwave imager (GMI). We find departures (observation-model differences) are sensitive to instrument calibration artefacts. Uncertainty in surface emission is identified as a key gap in our ability to validate microwave imagers quantitatively in NWP. The prospects for NWP-based validation of future instruments are considered, taking as examples the microwave sounder (MWS) and infrared atmospheric sounding interferometer-next generation (IASI-NG) on the next generation of European polar-orbiting satellites. Through comparisons with reference radiosondes, uncertainties in NWP fields can be estimated in terms of equivalent top-of-atmosphere brightness temperature. We find NWP-sonde differences are consistent with a total combined uncertainty of 0.15 K for selected temperature sounding channels, while uncertainties for humidity sounding channels typically exceed 1 K.

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