Hui Shao Collaborators: Ming Hu 2, Kathryn Newman 1, Chunhua Zhou 1, Don Stark 1, and X.Y. Huang 1, Developmental Testbed Center (DTC), 1 NCAR, 2 NOAA/ESRL.

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Presentation transcript:

Hui Shao Collaborators: Ming Hu 2, Kathryn Newman 1, Chunhua Zhou 1, Don Stark 1, and X.Y. Huang 1, Developmental Testbed Center (DTC), 1 NCAR, 2 NOAA/ESRL John Derber and Michael Lueken, NCEP/EMC Zhiquan Liu and Craig Schwartz, NCAR/MMM DTC Data Assimilation System Community Support and Tests: Variational, Ensemble and Hybrid 13 th WRF Users’ Workshop, June 25-28, 2012, Boulder, CO Sponsors: AFWA, NOAA, COSMIC and NCAR. NCAR is sponsored by NSF.

Outline GSI code update Testing and evaluation: Variational: GSI WRFDA Hybrid: GSI-based hybrid Ensemble: NCAR/DART Ensemble Smoother… system NOAA/PSD ENKF system Summary and outlook

Community Gridpoint Statistical Interpolation (GSI) Data Assimilation System Operational at NOAA since 2006, replacing SSI Being used by NOAA/ESRL, NCEP, NASA/GMAO, NESDIS, and the research community Current works for following systems o NCEP GFS o GMAO global o WRF-NMM o WRF-ARW o HWRF o HARW Supported by DTC since 2009 o User friendly (tested on multiple- platforms) with interfaces to multiple applications o Annual code release with documentation o Users helpdesk o Annual Tutorial (since 2010) o Workshop ( 1 st in 2011, next planned for 2013)

Observations Types: Radiosondes Pibal winds Synthetic tropical cyclone winds Wind profilers Conventional aircraft reports ASDAR aircraft reports MDCARS aircraft reports Dropsondes MODIS IR and water vapor winds GMS, JMA, METEOSAT and GOES cloud drift IR and visible winds GOES water vapor cloud top winds Surface land observations Surface ship and buoy observation SSM/I wind speeds QuikScat and ASCAT wind speed and direction SSM/I and TRMM TMI precipitation estimates Doppler radial velocities VAD (NEXRAD) winds GPS precipitable water estimates GPS Radio occultation refractivity and bending angle profiles SBUV ozone profiles and OMI total ozone SST SBUV: n17,n18,n19 HIRS: metop-a, metop-b,n17,n19 GOES_IMG: g11,g12 AIRS:aqua AMSU-A: metop-a, metop-b, n15,n18,n19 AMSU-B: metop-b,n17 MHS: metop-a, metop-b,n18, n19 SSMI: f14, f15 SSMIS: f16 AMSRE: aqua SNDR: g12 IASI: metop-a, metop-b GOME: metop-a, metop-b, OMI:aura SEVIR: m08, m09, m10 ATMS: NPP CRIS: NPP Tropical storm VITAL

GSI V3.1 Beta (just released June 8, 2012) Updated GSI-hybrid capability. Add dual resolution capability for regional hybrid application Added 4d capability for ensembles to allow several flavors of 4dvar using ensembles Added features for cloudy radiance assimilation RAP enhancement on cloud analysis and surface analysis Added NPP radiance data assimilation Added DWL data assimilation Added SEVIRI data assimilate Added MLS ozone bufr data assimilation Added MODIS AOD assimilation with input from WRF-CHEM GOCART Bug fixes to the CMAQ PM2.5 analysis Added bi-CG minimization option Added guess bundle Added the capability to use significant levels of radiosonde data Added climatological monthly zonal mean CO2 Updated the RTMA capability (GSI-2dvar) Updated QC for radiance data and satellite winds Added radiance bias correction spin-up capability of new instrument Updated radial wind data data assimilation Updated GPS RO assimilation-bending angle DA GSI V3.1 official version will be available in July ! Documentation Helpdesk support Updated online information

3 rd GSI Annual Tutorial (GSI v3.1) on Aug 21-23, Invited speakers: EMC: John Derber Andrew Collard NOAA/ESRL: Jeff Whitaker UCAR/NCAR: Lidia Cucurull Tom Auligne Rizvi Syed Ruifang Liu Registration: Lecture & hands-on Lecture only Webcast option Lectures Fundamentals of DA Overview of GSI Setup and compilation Run and namelist Diagnostics and applications PreBUFR/BUFR tools Background error generation Radiance data assimilation GPS RO data assimilation Hybrid GSI-EnKF Cloudy radiance data assimilation … Hands-on sessions Feel free to try your own cases

DA Test and Evaluation Examine data ingestion Test and revisit operational configurations Enhance and test developmental capabilities Test and evaluate alternative DA techniques

Data Feed The global PrepBUFR file (public accessed data for GSI)) has much more sounding data at 00/12 (cut-off time) misses SSMI/airep/geoamv data assigns large QC flag value to METAR data (specific to global applications) The AFWA-WRFDA data file: misses pibal/sat winds/gpsrf* Assimilated Observations for GSI/WRFDA for (Spin-up) and (Kathryn Newman)

GSI vs WRFDA verified against ECMWF (Conventional Data only) Global PrepBUFR data (e.g, surface data) QC flags should be appropriately set up for regional applications using GSI. Usage of regional background errors improves regional DA performance (separate study in 2010). WRFDA GSI (Kathryn Newman)

“Default” Configuration Test & Evaluation Vortex relocation/ correction Vortex relocation/ correction GFS Analysis GSI WRF-NMM POM Deep Storm? Forecast Bogus or previous forecasted vortex TCVital: Tropical Cyclone Vital Statistics Records Deep storm: estimated top of circulation is 200 mb TCVitals Definition of HWRF domains o Model forecast domains: outer and inner o HWRF vortex initialization domain: 4x o GSI analysis domain: outer (0.18deg) and ghost (0.06deg) Obs

Vortex Initialization? Cycling of GSI? 2009 HWRF Op Track Best track Courtesy of NHC, university Wyoming, Surgi and HWRF team Hodograph at near Erika GFS w/o Vortex Reloc (No GSI) GFS With Vortex Reloc (No GSI) Intensity Forecast (Chunhua Zhou)

Vortex Initialization? Cycling of GSI? 2009 HWRF Op Track Best track Courtesy of NHC, university Wyoming, Surgi and HWRF team Hodograph at near Erika GFS w/o Vortex Reloc (No GSI) GFS With Vortex Reloc (No GSI) GFS w/o VR GSI w/o VR GSI_18hrCycling w/o VR (Chunhua Zhou)

Background Errors (B) in GSI Three paths Isotropic/homogeneous Function of latitude/height Vertical and horizontal scales separable Variances can be location dependent Anisotropic/inhomogeneous Function of location /state Background error variances modified based on 9 and 3 hour forecast differences Ensemble BE

Orange: Operational GFS Green: FY12 GFS with Hybrid GSI Atlantic TC Track Errors For Hybrid GDAS Parallel Day-1 Day-2 Day-3 Day-4Day-5 ~16% Reduction at Days 4 & 5 Courtesy of Bill Lapenta, 2012

Test of GSI-hybrid Capability in Regional Applications NoDA GSI-3DVAR GSI-Hybrid Best Track Global ensembles were used here to calculate ensemble B contributions Regional ensembles specific to the forecast model and the application domain will be used and tested once the regional EnKF-GSI hybrid capability is ready (ongoing HFIP development at NOAA/PSD and NCEP/EMC…) (Chunhua Zhou)

NCAR DART Ensemble DA System AMSU-B/MHS radiance data assimilated added by DTC. Assimilated observations for experiments: ASMU-A radiance (AMSA): conventional obs from radiosondes, aircraft, sat-derived winds, land/ocean sfc stations, GPS dropsondes (NOAA G-IV aircraft), COSMIC GPSRO, AMSU-A radiances from NOAA-18/METOP-2 AMSU-A + MHS radiance (AMHS): same as AMSA + MHS radiances from NOAA-18/METOP-2 Radiance data were thinned on a 72-km grid +/- 1.5 hr observation assimilation window Bias Correction Coefficients from 3-mo offline statistics (spun-up) AMSU-A channels 5-7 and MHS channels 3-4 NOAA-18/ METOP-2 assimilated Averaged over runs for 5 TCs: Fay, Gustav, Hanna, Ike, Josephine (Kathryn Newman)

Summary The ongoing efforts of the DTC DA team are to Start to examine the data pre-processing process Test and revisit default configurations Enhance and test developmental capabilities Test and evaluate alternative DA techniques The DTC seeks input from the community: New DA development (help bring it to the operational applications) Suggestions for new T&E activities Defining future direction

DTC GSI Resource Community GSI User’s website: Community GSI Helpdesk: Community GSI release: V3.1: beta version, June 8, 2012; Official version scheduled for July, 2012 Upcoming events: The 3 rd Community GSI tutorial: August 21-23, 2012, Boulder, CO (Register now!)

NoDA GSI-3DVAR GSI-Hybrid