World Meteorological Organization Working together in weather, climate and water WMO Report from the Fifth WMO Workshop on the Impact of Various Observing Systems on NWP Sedona, May 22-25 2012 Lars Peter Riishojgaard Chair, OPAG-IOS, WMO Commission for Basic Systems Lidar Working Group, Boulder, Oct 16-17 2012 Overview • WMO context – RRR, WMO Impact Workshops, role of NWP Impact Studies • Sample results from Fifth WMO Impact Workshop • Select key conclusions from Sedona October 16-17, 2012 Lidar Working Group, Boulder CO 2 RRR in WMO • Rolling Review of Requirements is the process for developing WMO guidance on performance versus requirements for observing systems • Within the WMO Structure, CBS/OPAG-IOS has overall responsibility of the RRR – ET-EGOS • Application Area (12) Points of Contact • Rapporteur on Scientific Evaluation of Impact Studies by NWP Centers • Ad hoc interfaces to other TC’s and their Expert Teams – Other OPAG-IOS Expert Teams – WMO Impact Workshops October 16-17, 2012 Lidar Working Group, Boulder CO 3 WMO Workshops on the Impact of Various Observing Systems on NWP Five Workshops held so far: • 1st - Geneva, 1997 • 2nd – Toulouse, 2000 • 3rd – Alpbach, 2004 • 4th – Geneva, 2008 - Workshop Report available on http://www.wmo.int/pages/prog/www/OSY/Reports/NWP-4_Geneva2008_index.html • 5th – Sedona (AZ, USA), May 22-25 2012 -Workshop Report will be available late Oct 2012, presentations are on http://www.wmo.int/pages/prog/www/OSY/Reports/NWP-5_Sedona2012.html Workshops aim to bring together major NWP centers and representatives from the research community to discuss the contribution to forecast skill of various elements of the global observing system; guidance to participants provided well in advance of Workshop itself. October 16-17, 2012 Lidar Working Group, Boulder CO 4 Fifth WMO NWP Impact Workshop, Sedona, May 22-25 • CBS Ext (10) in Namibia: US extended an invitation to host the 5th WMO Impact Workshop in 2012 – Erik Andersson (ECMWF), R-SEIS, SOC – Lars Peter Riishojgaard (JCSDA), CBS OPAG-IOS Chair, LOC October 16-17, 2012 Lidar Working Group, Boulder CO 5 Scientific Organizing Committee • • • • • • • • Erik Andersson, ECMWF, (Chair), (R-SEIS) Carla Cardinali, ECMWF (THORPEX) John Eyre, Met Office UK (CBS/ET-EGOS) Ron Gelaro, NASA/GSFC (THORPEX) Miroslav Ondras, WMO Secretariat Florence Rabier, Meteo-France (THORPEX) Lars Peter Riishojgaard, JCSDA (CBS/OPAG-IOS) Yoshiaki Sato, JMA (R-SEIS) • Workshop funding provided by WMO (OBS and THORPEX), NASA and NOAA (GOES-R Program Office) Sedona in brief • The largest WMO Impact Workshop so far: – 3½ days – 59 participants from 13 countries – 40 presentations distributed in three sessions • Ample discussion time during and after the sessions • Very broad attendance from NWP community • Space agencies and other NWP and observing system managers also represented – They are keenly aware of the power of NWP diagnostics as aids for decision making October 16-17, 2012 Lidar Working Group, Boulder CO 7 Role of NWP diagnostics • NWP is a foundational activity for most weather and climate applications • Objective, quantitative metrics: – NWP poses a well-defined prediction problem with a “right” answer • (and an infinity of wrong ones) – Well-defined measures for quality of output – Well-established methodologies for assigning merit (or blame) to individual observing systems October 16-17, 2012 Lidar Working Group, Boulder CO 8 NWP Diagnostics (I), OSE • • • • OSEs (Observing System Experiments) are based on data denial (or addition): – 1. Run a control with operational data – 2. Add (or subtract) data to be tested – 3. Compare Impact focuses on the medium to long range Results show the impact of withdrawing (or adding) certain data Absolute metric (score of perfect forecast has a known value) October 16-17, 2012 Jung et al., WMO Impact Workshop in Sedona, May 2012 Lidar Working Group, Boulder CO 9 NWP Diagnostics (II), FSO • FSO (Forecast Sensitivity to Observations) are based on the adjoint of the model/analysis system or an ensemble approach • Approach focuses exclusively on the short (quasi-linear) range • Results show the impact of observations in the presence of all other observations • Relative metric (numerical value not meaningful by itself) October 16-17, 2012 Gelaro et al, Fifth WMO Impact Workshop, Sedona 2012 Lidar Working Group, Boulder CO 10 1. Satellite data October 16-17, 2012 Lidar Working Group, Boulder CO 11 Lidar Working Group, Boulder CO 12 1 3 Monthly number of observations used in the global model IASI SSMI/S SEVIRI GPS-RO AIRS SCAT SSMI ATOVS 2002 2004 WMO Workshop on the Impact of Various Observing Systems on 2006 2007 2008 Sedona – 22-25 May 2012 2010 2011 Forecast impact experiment from Dec. 2010 to Jan. 2011 Impact Impact / Obs. number AMSU-A WMO Workshop on the Impact of Various Observing Systems on NWP Sedona – 22-25 May 2012 FNMOC and GMAO Observation Impact Monitoring Current Operations Gelaro et al. , Sedona May 2012 GMAO: AMSU-A http://www.nrlmry.navy.mil/obsens/fnmoc/obsens _main_od.html http://gmao.gsfc.nasa.gov/products/forecasts/syste ms/fp/obs_impact/ much larger relative impact of AMVs in Navy system October 16-17, 2012 Lidar Working Group, Boulder CO 15 No Satellite / No Conventional Data (JCSDA w/ NCEP GFS) Northern Hemisphere Southern Hemisphere Strong impact of satellite data Jung, 5th WMO Impact Workshop, Sedona 2012 overall in both hemispheres October 16-17, 2012 Lidar Working Group, Boulder CO 16 No AMSU-A / No MHS Northern Hemisphere Southern Hemisphere Jung, 5th WMO Impact Workshop, Sedona 2012 October 16-17, 2012 Lidar Working Group, Boulder CO 17 No RAOBs / No Aircraft Northern Hemisphere Southern Hemisphere Strongest signal of any individual GOS component! October 16-17, 2012 Jung, 5th WMO Impact Workshop, Sedona 2012 Lidar Working Group, Boulder CO 18 2. Reemergence of the importance of conventional observations October 16-17, 2012 Lidar Working Group, Boulder CO 19 October 16-17, 2012 Lidar Working Group, Boulder CO 20 AMDAR coverage (6-hour period) October 16-17, 2012 Lidar Working Group, Boulder CO 21 Impact summary Forecast error reduction Winds Total impacts Winds Impacts per 1 obs All observation types have positive impacts on average. For the total impact, 1: aircraft, 2: AMSU-A, 3: radiosonde, 4: IASI, 5: GPSRO For impact per 1 obs., 1: radiosonde, 2: GPSRO, 3: aircraft, 4: Scatterometer wind, 5: marine surface observation Ensemble-based FSO diagnostics, NCEP GFS, Ota et al., WMO, Sedona, May 2012 5/22/2012 5th WMO Workshop on the Impact of Various Observing Systems on NWP (Sedona, AZ, USA) 22 Radiosonde and aircraft 5/22/2012 125-250 hPa 600-800 hPa 125-250 hPa 5th WMO Workshop on the Impact of Various 600-800 hPa Observing Systems on NWP (Sedona, AZ, USA) 23 Radiosonde and aircraft Radiosonde Aircraft Radiosonde observations on mid- to lower troposphere have larger impacts compared to Aircraft: Upper troposphere; the aircraft observations. this is where we have data! RAOBs: Mid- to lower troposphere; as expected based on sensitive structures 5/22/2012 5th WMO Workshop on the Impact of Various Observing Systems on NWP (Sedona, AZ, USA) 24 Radiosonde impacts Total impacts of radiosonde (12UTC October 21 to 06UTC October 28) Most observations have positive impacts on average Relatively large impacts for East Asia, Western US, Canada, and South America. 5/22/2012 5th WMO Workshop on the Impact of Various Observing Systems on NWP (Sedona, AZ, USA) 25 Aircraft impacts Total impacts, moist total energy Impacts per 1 obs (250-125 hPa) Aircraft observations over US, Europe and East Asia have large positive impacts. The impact of aircraft observations is extremely large over US, however impact per 1 observation is small. 5/22/2012 5th WMO Workshop on the Impact of Various Observing Systems on NWP (Sedona, AZ, USA) 26 300mb Wind Speed (2010) GFS / ECMWF Langland, Sedona 2012 Root-Mean Square of Analysis Differences: 300mb Wind Speed 27 Langland and Maue 2011 2010 Note the very significant effect of in-situ wind observations: Radiosondes and Commercial Aircraft 2009 2011 2008 October 16-17, 2012 Lidar Working Group, Boulder CO ms-1 3. Some conclusions (with LWG implications) October 16-17, 2012 Lidar Working Group, Boulder CO 28 Conclusions (from presentation by John Eyre) • Good progress on assimilation of IR sounder radiances • cloud-affected and over land • more progress expected • implications for balance of observing system over land • Dangers of “observation-free zones” in data assimilation • examples: mesospheric temperature, upper tropospheric humidity • GPS-ZTD - significant impact on forecasts of surface variables • AMV and scatterometer impacts: Don’t forget the high latitudes! • Positive impact from all AMV types • Polar AMV have more impact per ob, but fewer of them • FSO statistics show which obs compensate when AMV/scatt denied © Crown copyright 2007 Observation impact in global NWP (slide shown by Erik Andersson, Workshop Chair, at EMS, September 2012) The highest ranked contributors for the forecast error reductions are: AMSU-A, AIRS/IASI, radiosonde, aircraft, AMVs GPS-RO also has substantial impact, but the data volume is declining approaching the end of COSMIC lifetime. Several satellite sensors contribute to forecast skill. There is not a single, dominating one These are (or include) More complementarity is seen, compared to previous years. wind measurements! The GOS has become more resilient, but this resilience is threatened by expected decline of the operational polar orbiting satellites When one observation type is missing or removed the contribution of other systems tend to increase without fully compensating Slide 30 ECMWF Workshop Recommendations (slide shown by Erik Andersson, Workshop Chair, at EMS, September 2012) Augment the profiling network e.g. by extending coverage of ascending and descending aircraft observations to regional airports There is a need to invest in enhanced wind observations in the tropics and over the oceans especially. Study observation impact that is more closely related to high-impact weather (including TCs) and service delivery to customers and forecast users Encouraged studies of impact per observing system or per observation linked to their cost Define appropriate impact metrics for humidity and regional NWP including precipitation and other surface weather elements Slide 31 ECMWF General Conclusions from the Fifth WMO Impact Workshop in Sedona, May 2012 • Modern, 4-dimensional data assimilation methods (4D-VAR, ENKF) have led to greatly improved use of data, especially of – Asynoptic data (e.g. aircraft, satellite observations) – Observations with complex relationships between measured and model variables (satellite radiances, GPSRO, radar,…) • Broad consensus about highest-ranking contributors to forecast skill, but not necessarily about their ranking order: – AMSU-A (microwave temperature sounder) – AIRS/IASI (hyper-spectral infrared sounders) – Radiosondes – Aircraft observations – Atmospheric motion vectors (feature tracking satellite winds) • Investment in additional winds observations is a high priority October 16-17, 2012 Lidar Working Group, Boulder CO 32