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NCEP Assessment of ATMS Radiances Andrew Collard 1, John Derber 2 and Russ Treadon 2 1 IMSG at NOAA/NCEP/EMC 2 NOAA/NCEP/EMC 1NPP ATMS SDR Product Review13th January 2012
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Content Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks 2
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Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks 3
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Introduction We are routinely receiving ATMS data as BUFR files from NDE We are using the antenna temperatures contain in these files (following our use of AMSU-A/MHS radiances) The comparisons shown are based on first-guess departure statistics (observed radiances minus those calculated from a 6- hour forecast) for the NCEP GSI assimilation system. As much as possible the performance is assessed relative to that of AMSU-A/MHS on NOAA-19. 4
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Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks 5
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Spatial Averaging / Re-Mapping We use the AAPP FFT-based remapping code (described by Nigel Atkinson) to re-map (and in the process spatially average) the AMSU-A like ATMS channels to a common field of view (3.3°). This is to reduce the noise on the temperature sounding channels and also to allow the 5.2° FOV channels 1 and 2 to be consistent with the other AMSU-A like channels (as these are used for cloud-detection). Special attention has to be paid to missing and bad data as this will affect surrounding points in the re-mapped product. Similarly, we did not want to assimilate observations within 5 scan- positions/scan-lines of each other and they will be correlated. In this presentation we are showing both raw and re-mapped data. 6
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Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks 7
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ATMS Scan Dependence 8 Uncorrected First Guess Departure; All Obs over Sea (K)
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9 NOAA-19 AMSU-A Scan Dependence
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AMSU-A vs ATMS Stats ATMS Ch.10 Uncorrected First Guess Departure; All Obs over Sea (K) Antenna Temperatures 10 AMSU-A Ch 9 Satellite Zenith Angle (degrees) Green points are after remapping ATMS has much better scan-dependent bias and (after re-mapping) noise levels are equivalent
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Histogram ATMS Ch. 1 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 11
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Histogram ATMS Ch. 2 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 12
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Histogram ATMS Ch. 3 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. Polarization switch 13
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Histogram ATMS Ch. 4 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 14
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Histogram ATMS Ch. 5 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. Polarization switch 15
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Histogram ATMS Ch. 6 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 16
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Histogram ATMS Ch. 7 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 17
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Histogram ATMS Ch. 8 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. Polarization switch 18
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Histogram ATMS Ch. 9 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 19
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Histogram ATMS Ch. 10 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 20
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Histogram ATMS Ch. 11 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 21
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Histogram ATMS Ch. 12 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 22
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Histogram ATMS Ch. 13 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 23
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Histogram ATMS Ch. 14 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 24
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Histogram ATMS Ch. 15 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 25
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Histogram ATMS Ch. 16 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 26
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Histogram ATMS Ch. 17 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. Polarization Switch and channel not very close 27
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Histogram ATMS Ch. 18 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 28
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Histogram ATMS Ch. 19 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 29
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Histogram ATMS Ch. 20 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 30
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Histogram ATMS Ch. 21 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 31
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Histogram ATMS Ch. 22 All Sea Land Ice Snow First Guess Departure (O-B) [K] Number Observations that pass quality control. Bias Corrected. 32
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ATMS vs AMSU-A vs ATMS Std. Dev. of FG Departures Comparison ATMS NOAA-19 AMSU-A NOAA-19 MHS 33
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ATMS is being monitored in EXP-hybens parallel Radiance monitoring stats: http://www.emc.ncep.noaa.gov/gmb/wd20rt/experiments/prd12q3r/d12q3r/index.html ATMS AMSU-A Temperature Sounding Channels 34
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ATMS analysis and forecast impact Active assimilation of ATMS was turned on in our pre-implementation parallel experiment on 2012010412. Low resolution experiments have been run for a short time and show statistically neutral impact This is not unexpected as ATMS observations are very close to those from NOAA-19 and Aqua. There is some evidence that the humidity analysis fields are being improved, however. 35
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Conclusions ATMS observations appear to be of good quality. In particular the bias characteristics seem much better than for AMSU-A Using the AAPP re-mapping tool, AMSU-A like noise performance can be obtained. We thank the ATMS team for all their hard work in getting to this point. 36
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