11 GRAS SAF Status & Next Steps Kent B. Lauritsen Danish Meteorological Institute Copenhagen, Denmark Contents - Short introduction to the GRAS SAF system - Status of refractivity product - Next upgrades of the system - 1dvar products and ROPP_PP processing - ROPP software and plans

22 GRAS Satellite Application Facility Consortium  Leading Entity:Danish Meteorological Institute (Copenhagen, Denmark) Kent B. Lauritsen, Hans Gleisner, Kjartan Kinch, Johannes K. Nielsen, Frans Rubek, Stig Syndergaard, Hallgeir Wilhelmsen  Partners:ECMWF (Reading, UK) Sean Healy Institute d’Estudis Espacials de Catalunya (IEEC, Barcelona, Spain) Estel Cardellach, Santi Oliveras Met Office (Exeter, UK) Dave Offiler, Chris Burrows, Ian Culverwell Occultation Antenna UKMO x DMI x IEEC x EUMETSAT x ECMWF x

33 The GRAS SAF objectives Operational processing and archiving center for GRAS radio occultation (RO) data: - including additional third party RO data being processed by EUMETSAT CAF; - including reprocessing of RO data from EUMETSAT CAF and other data providers; Products and software deliverables: Near-real time (NRT) radio occultation products - operational products in NRT (refractivity, temperature, pressure, humidity); Offline/climate radio occultation products - offline profile products (monthly), and reprocessed profiles; - offline gridded products (monthly), and reprocessed data sets: gridded data of bending angle, refractivity, temperature, humidity, geopotential height; Radio Occultation Processing Package (ROPP) - routines for assimilation and processing of RO data;

44 NRT, Offline, and Climate processing overview Phase, amplitude, ground station observations, near-real time orbits Phase, amplitude, ground station observations, NRT/offline data Bending angle profiles (L1, L2, LC) Refractivity profiles 1D-Var algorithm Ancillary temperature, pressure, and humidity, from ECMWF forecasts Temperature, pressure, and humidity profiles GRAS SAF NRT Products Bending angle profiles (ionosphere corrected and statistically optimized) Refractivity profiles 1D-Var algorithm Temperature, pressure, and humidity profiles GRAS SAF Offline Products Level 1a Level 1b Level 2 Produced by EUMETSAT CAF Geometric optics inversion algorithm Bending angle profiles (statistically optimized) Abel transform algorithm CT2 algorithm Abel transform algorithm Level 2 Re-processed data (zero/single/double diff.): Phase, amplitude Other RO data (COSMIC, CHAMP,...): Phase, amplitude Bending angle profiles (ionosphere corrected and statistically optimized) Refractivity profiles 1D-Var algorithm CT2 algorithm Abel transform algorithm Temperature, pressure, and humidity profiles Climate algorithms Bending angle, refractivity, temperature, humidity, and geopotential height grids GRAS SAF Climate/Gridded Data

55 Recent and planned system upgrades GRIB2 format -upgrading of GPAC to handle ECMWF’s new GRIB-2 format -done on May 17, 2011 L2 extrapolation and BA thinning -upgrade done in coordination with EUMETSAT -updated code running at EUMETSAT CGS GS2 -planned for June/July (TBC) Production, dissemination, and archiving of 1DVar products -code prepared, testing -upgrade planned for TBD

66 NRT refractivity product (GRM-01)  Produced from geometric optics (GO) level 1b bending angles (BAs) from GRAS/Metop-A data from EUMETSAT CAF  Limited information contents at low altitudes (due to GO and no RS data)  Product version: 1.3  Number of registered GTS users: 19

77 REF statistics for the first 10 days of Dec 2010

88 NRT refractivity product (GRM-01): Plans Plans: -L2 extrapolation: will increase penetration depth -Improve statistical optimization (SO) by using an enhanced background climatology -Validate against COSMIC data processed to BA and Refractivity -Comparisons of ROPP_PP vs OCC/Invert -Switch to using ROPP_PP code in operations Status on issues related to PPF upgrade preparations at DMI: - Analyses focusing on the inclusion of thinned bending angles in the PFS files (done in Dec 2010 using PPF2.16 GS2 data) - Analyses focusing on extrapolation of L2 bending angles with higher SLTA configuration (done in Feb 2011 using PPF2.17 offline data)

99 Penetration statistics with L2 extrapolation

10 NRT 1DVar products: T and q Status  Produced from refractivity from (currently) geometric optics (GO) bending angles  Limited information content at low altitudes  Limited information about humidity  Product version: 1.0  Number of GTS users: n/a Plans/ongoing: -Upgrade operational system with NRT 1DVar products: in preparation -Processing and comparison of GRAS and COSMIC data -Re-assess temperature and humidity information in the lower troposphere -Handle cases with super saturation -Scientific assessment of prototype GRAS data for check-point review in Jan 2012

11 ROPP_PP processing of GRAS RS data All processed GRAS RS profiles from 30 Sept 2007 included; Comparison of ROPP_PP and Michael Gorbunov’s OCC codes for different choices of coordinates;

12 ROPP package overview GRAS Level 1b (CGS) EPS /PFS netCDF eps2netcdf GRAS Level 2 (SAF) ropp2bufr (Thin or Full Level 1b/2) BUFR ropp_1dvar (for Q/C) ropp_fm (as part of 3/4-D Var) NWP VAR system NWP User netCDF ropp_pp ropp2bufr (Thin Level 1b) ropp2bufr (Thin Level 2) ropp_1dvar netCDF

13 Next release: ROPP-5 ROPP-5 improvements over ROPP v4.1: Inclusion of non-ideal gas effects (compressibility factors) in ropp_fm and ropp_1dvar; Enhanced BUFR support in ropp_io – interfaces also with ECMWF library; Various bugfixes (including some in ropp_pp/OCC); Beta version built and put on website at end of March DRI review held at Met Office on 20 May ROPP-5 scheduled to be released early July 2011 after close-out meeting/telecon later in June.

14 Plan for ROPP-6 ROPP-6 in plan for release before end of CDOP in February 2012 (Public release: Feb 2012; DRI: Dec 2011; Beta: Oct/Nov 2011) New/improved science to include: Ionosphere Correction New technical enhancements: potentially netCDF-4/HDF5 updated format for ECM’s (error covariance matrices) Tuning of ROPP_PP for GRAS offline data

15 ROPP and data registered users

16 Improving the timeliness of Metop-A global data Using NASA's McMurdo station in Antarctica, near the South Pole; Antarctic Data Acquisition (ADA) User trials in e.g. April, 2011: Below is shown data from 19 April from 7:30z to 15:30z; GRAS SAF system can handle higher data rates (but to get the full increase in timeliness, system has to be “reconfigured”) Figure from EUMETSAT Min: 1h 28min Min: 0h 41min

17 fin