1 / 12

Finalizing the AMSR -E Rainfall Algorithm GPROF2010

Finalizing the AMSR -E Rainfall Algorithm GPROF2010. Dave Randel Colorado State University. AMSR-E Science Team Meeting Oxnard, CA 4 -5 September, 2013. GPROF 2010 Algorithm Structure. AME_L2A. AMSR-E, AMSR2. Format Converter. HDFEOS. GPROF 2010 . Version 1

aran
Télécharger la présentation

Finalizing the AMSR -E Rainfall Algorithm GPROF2010

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Finalizing the AMSR-E Rainfall AlgorithmGPROF2010 Dave RandelColorado State University AMSR-E Science Team Meeting Oxnard, CA 4-5 September, 2013

  2. GPROF 2010 Algorithm Structure AME_L2A AMSR-E, AMSR2 Format Converter HDFEOS

  3. GPROF 2010 • Version 1 • Added Desert and Snow Climatology (Ferraro/Meyers). No land retrievals are performed here. • Modified AMSR-E radiances for land precipitation screening thresholds (Ferraro/Meyers) • Modified land precipitation calculation to account for difference of 85 GHz (SSMI/TMI) channels to 89 GHz (AMSR-E) (Ferraro/Meyers) • Version 1 delivered to MSFC December 2012. Input AMSR-E radiances are L2A. • Version 1 Issue: We were unable to replicate the rain rates between sensors.

  4. GPROF 2010 • Version 2 Solution and Improvements • Reformulated Bayesian retrieval lowered the ‘noise’ by removing database profiles erroneously included in the weighted average. • Replaced K-Means clustering with ‘homegrown’ clustering routine. PR/TMI 1 year database has 50,000,000 profiles. K-means incorrectly reduced the variability of the profiles in the clustered database. • Improved the colder temperature simulated profiles for retrievals poleward of 40 degrees.

  5. JAN, APR, JUL, OCT 2007

  6. TMI AMSR-E

  7. AMSR-E – 1 hr TMI

  8. JAN, APR, JUL, OCT 2007

  9. GPROF 2010 L2A Complete Parameter List Orbit Header Satellite Sensor Algorithm Version Pre Processor Version Ocean Database Original file Start Date Creation Date Granule Missing Data Num scans Num Pixels Scan Header Scan Date and Time Pixel Data Latitude, Longitude Pixel Status, Screen Flag, Quality Flag Land Ambiguous Flag, Surface Type Ocean Extended Dbase Profile Search Radius OE Chi Squared TB fit Error Probability of Precipitation Sun Glint Angle Freezing Height Surface Precipitation (Liquid+ Frozen) Convective Precipitation Surface Rain (Liquid) Cloud Water Path Rain Water Path Ice Water Path Version 2 implemented at CSU for TMI, SSMI, SSMIS, close to final for AMSR-E, expected delivery to MSFC mid-October. Remaining issue: coast retrieval decision.

More Related