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Open AccessArticle

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

1
Met Office, FitzRoy Road, Devon Exeter EX1 3PB, UK
2
European Centre for Medium-Range Weather Forecasts, Shinfield Road, Reading RG2 9AX, UK
*
Author to whom correspondence should be addressed.
During This Manuscript’s Work: European Centre for Medium-Range Weather Forecasts, Shinfield Road, Reading RG2 9AX, UK.
Remote Sens. 2020, 12(10), 1580; https://doi.org/10.3390/rs12101580
Received: 27 February 2020 / Revised: 7 May 2020 / Accepted: 9 May 2020 / Published: 15 May 2020
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. View Full-Text
Keywords: calibration/validation; numerical weather prediction; reference radiosondes calibration/validation; numerical weather prediction; reference radiosondes
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MDPI and ACS Style

Newman, S.; Carminati, F.; Lawrence, H.; Bormann, N.; Salonen, K.; Bell, W. Assessment of New Satellite Missions within the Framework of Numerical Weather Prediction. Remote Sens. 2020, 12, 1580.

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