goes-r cloud phase algorithm integration status. goes-r cloud phase integration the initial goes-r...

Download GOES-R Cloud Phase Algorithm Integration Status. GOES-R Cloud Phase Integration The initial GOES-R cloud phase algorithm, modified to run on VIIRS data,

If you can't read please download the document

Upload: lucas-gilbert

Post on 13-Dec-2015

217 views

Category:

Documents


1 download

TRANSCRIPT

  • Slide 1

GOES-R Cloud Phase Algorithm Integration Status Slide 2 GOES-R Cloud Phase Integration The initial GOES-R cloud phase algorithm, modified to run on VIIRS data, was provided to the AIT *** Certain tests and thresholds have not yet been specifically tuned to VIIRS The GOES-R cloud phase algorithm was successfully integrated into and run on the AIT framework To ensure proper installation scene comparisons were run between output from the AIT framework and output from GEOCAT (where the algorithm was originally developed) Results showed that the cloud phase output matched for 95.5% of pixels Slide 3 GOES-R Cloud Phase Integration AIT Output Cloud phase matched for 95.5% of pixels GEOCAT Output Slide 4 GOES-R Cloud Phase Validation The GOES-R cloud phase algorithm was validated using a 24-hour period of VIIRS data from November 10, 2012. Validation was performed using collocated CALIPSO data for pixels detected as cloud from both the GOES-R and CALIPSO cloud masks. Validation was performed for the entire dataset but was also separated by day/night, land/water and high latitude/low latitude (60 deg) pixels The validation was also filtered by the optical depth calculated by CALIPSO Slide 5 The next 3 slides show the 24-hour validation results for the following cloud phase algorithms: Official VIIRS cloud phase algorithm (version ADL4.2+Mx8.0 - provided by Weizhong Chen) GOES-R cloud phase algorithm (applied to VIIRS) integrated into the AIT framework GOES-R cloud phase algorithm (applied to VIIRS) after initial in-house (UW- CIMSS) threshold tuning (not yet available in AIT framework) VIIRS Cloud Phase Validation Slide 6 > 0.0>0.1>0.2>0.3>0.4>0.5>2.0 All data 0.7780.8330.8490.8550.858 0.821 daytime 0.7700.8190.8340.8400.842 0.800 nighttime 0.7850.8470.8650.8720.8740.8750.839 Over land 0.7900.8270.8470.8560.858 0.797 Over water 0.7720.8330.8490.8540.8560.8570.824 Lat > 60 deg 0.8170.8460.8500.8510.8490.8470.797 Lat > 0.0>0.1>0.2>0.3>0.4>0.5>2.0 All data (diff. from official VIIRS alg.) 0.785 (+.007) 0.849 (+.016) 0.858 (+.009) 0.861 (+.006) 0.862 (+.004) 0.863 (+.005) 0.846 (+.025) daytime 0.7930.8540.8630.866 0.8670.857 nighttime 0.7760.8430.8520.8550.8570.8580.829 Over land 0.7580.8160.8300.8350.836 0.773 Over water 0.7940.8600.8670.8700.8710.8720.862 Lat > 60 deg 0.8260.8540.8600.8620.8610.8620.848 Lat > 0.0>0.1>0.2>0.3>0.4>0.5>2.0 All data (diff. from official VIIRS alg.) 0.816 (+.038) 0.873 (+.04) 0.879 (+.03) 0.882 (+.027) 0.884 (+.026) 0.884 (+.026) 0.864 (+.043) daytime 0.8170.8710.8770.880 0.8820.866 nighttime 0.8150.8750.8810.8830.886 0.858 Over land 0.7970.8520.8620.8680.8690.8700.817 Over water 0.8220.8800.8850.8860.888 0.846 Lat > 60 deg 0.8490.8720.8760.8770.876 0.874 Lat