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The New CrIMSS Precipitation Detection Algorithm for Ocean/Land Surfaces

Implementation and Test of the New Ocean/Land Precipitation Algorithm in ADL as part of the Next CrIMSS MX Version. Flavio Iturbide-Sanchez 1 , Mike Wilson 1 , Murty Divarkala 1 , Bigyani Das 1 , Changyi Tan 1 , Xiaozhen Xiong 1 , and Tony Reale 2 1 IMSG at NOAA/NESDIS/STAR

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The New CrIMSS Precipitation Detection Algorithm for Ocean/Land Surfaces

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  1. Implementation and Test of the New Ocean/Land Precipitation Algorithm in ADL as part of the Next CrIMSS MX Version Flavio Iturbide-Sanchez1, Mike Wilson1, Murty Divarkala1, Bigyani Das1, Changyi Tan1, Xiaozhen Xiong1 , and Tony Reale2 1IMSG at NOAA/NESDIS/STAR 2NOAA/NESDIS/STAR Wenze Yang3 and Ralph Ferraro2 3NOAA Corporate Institute for Climate and Satellites

  2. The New CrIMSS Precipitation Detection Algorithm for Ocean/Land Surfaces End of the MW-only Retrieval Input Variables Needed: • Uncorrected Microwave Brightness Temperatures (K). • Microwave retrieved Skin Temperature (K) . • Absolute value of Local Zenith Angle (deg). • Average land fraction in FOR (for surface type definition). • Latitude and Longitude (deg). Assumptions Made: • Fix Wind Speed=10 m/s. • Observations: • The retrieved skin temperature is used even in cases where the MW-only retrieval does not converge. • The algorithm is based on the MSPPS Rainfall rate algorithms optimized for the AMSU-B sensor. Yes Detect Precipitation over ocean or land (TB, LZA, SfcType, Lat, Lon, Tskin (MW-only))

  3. Results of the New CrIMSS Precipitation Detection Algorithm for Ocean/Land Surfaces • The New CrIMSS Precipitation Algorithm has shown an improvement in the detection of precipitation in the Intra-tropical Convergence Zone (ITCZ) and a significant reduction in the false alarms over mid-latitude ocean regions. • The following abstract has been prepared and submitted to the AMS 2014 conference: Wenze Yang, Flavio Iturbide-Sanchez, Ralph Ferraro, MurtyDivakarla, and Tony Reale, “Evaluation and Improvement of the S-NPP CrIMSS Rain Flag”

  4. Implementation of the New Ocean/Land Precipitation Algorithm into the ADL environment • The CrIMSS Offline code was originally developed by Susan Kizer and Xu Liu from LaRC. • Coordinated efforts between STAR, LaRC and NGAS helped to realize MX7.1 Offline Version • The New CrIMSS Ocean/Land Precipitation Algorithm was • Implemented/tested in the CrIMSS Offline MX7.1 version. • Subsequently implemented/tested in the ADL environment using MX7.1 as the baseline • Results from the off-line and the ADL implementations were verified to ensure reproducibility over different precipitation conditions. • This Algorithm is being packaged to be part of CrIMSS MX8.1 version addressing DRs 4068 and 4069 • An off-line CrIMSS EDR MX7.1 version embedded with the New Precipitation Algorithm will be distributed to: Susan Kizer and Xu Liu (LaRC), Xia L. Ma and DeguiGu (NGAS), and Sung Yung Lee (JPL).

  5. Future work as part of the CrIMSS Ocean/Land Precipitation Algorithm Improvement • Use Climatology Wind information. • Analyze the use of bias corrected brightness temperatures. • Optimize the Algorithm for the NPP/ATMS sensor, since the current precipitation algorithm is optimized for AMSU-B sensor. • Status of the CrIMSSOcean/Land Precipitation Algorithm

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