NCEP Assessment of ATMS Radiances

1. NPP ATMS SDR Product Review NCEP Assessment of ATMS Radiances Andrew Collard1, John Derber2 and Russ Treadon2 1 IMSG at NOAA/NCEP/EMC 2 NOAA/NCEP/EMC

2. Content • Introduction • Spatial Averaging • Comparison with Forecast Model • Assimilation Configuration • Final Remarks

3. Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks

4. 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.

5. Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks

6. 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.

7. Introduction Spatial Averaging Comparison with Forecast Model Assimilation Configuration Final Remarks

8. ATMS Scan Dependence Uncorrected First Guess Departure; All Obs over Sea (K)

9. NOAA-19 AMSU-A Scan Dependence Uncorrected First Guess Departure; All Obs over Sea (K)

10. AMSU-A vs ATMS Stats Antenna Temperatures ATMS Ch.10 ATMS Ch.10 Green points are after remapping Uncorrected First Guess Departure; All Obs over Sea (K) AMSU-A Ch 9 ATMS has much better scan-dependent bias and (after re-mapping) noise levels are equivalent Satellite Zenith Angle (degrees)

11. Histogram ATMS Ch. 1 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

12. Histogram ATMS Ch. 2 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

13. Histogram ATMS Ch. 3 All Sea Land Ice Snow Polarization switch Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

14. Histogram ATMS Ch. 4 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

15. Histogram ATMS Ch. 5 All Sea Land Ice Snow Polarization switch Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

16. Histogram ATMS Ch. 6 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

17. Histogram ATMS Ch. 7 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

18. Histogram ATMS Ch. 8 All Sea Land Ice Snow Polarization switch Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

19. Histogram ATMS Ch. 9 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

20. Histogram ATMS Ch. 10 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

21. Histogram ATMS Ch. 11 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

22. Histogram ATMS Ch. 12 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

23. Histogram ATMS Ch. 13 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

24. Histogram ATMS Ch. 14 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

25. Histogram ATMS Ch. 15 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

26. Histogram ATMS Ch. 16 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

27. Histogram ATMS Ch. 17 All Sea Land Ice Snow Polarization Switch and channel not very close Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

28. Histogram ATMS Ch. 18 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

29. Histogram ATMS Ch. 19 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

30. Histogram ATMS Ch. 20 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

31. Histogram ATMS Ch. 21 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

32. Histogram ATMS Ch. 22 All Sea Land Ice Snow Number Observations that pass quality control. Bias Corrected. First Guess Departure (O-B) [K]

33. ATMS vs AMSU-A vs ATMS Std. Dev. of FG Departures Comparison ATMS NOAA-19 AMSU-A NOAA-19 MHS

34. 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 Temperature Sounding Channels AMSU-A

35. 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.

36. 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.