Assimilation of Scatterometer Winds at Météo-France
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1 Assimilation of Scatterometer Winds at Météo-France Christophe Payan, Nathalie Boullot (1), Dominique Mékies (2) (1) CNRM and GAME, Météo-France and CNRS (2) LACy, La Réunion University, CNRS and Météo-France IOVWST Meeting, Brest, France, 2-3 June 2014
2 Outline Operational use of scatterometer winds OSCAT assimilation Scatterometer impact
3 Operational use of scatterometer winds (1/3) Scatterometer Winds on a 6-hours assimilation window (centred here on 0 UTC) in 2013: Scatterometer Winds available Data assimilated: ASCAT-A, operational since Feb 2008 ASCAT-B, operational since July 2013 OSCAT, operational from July 2013, discontinued on Feb 2014 Swaths overlap, but ASCAT-A and ASCAT-B separated by 50 minutes, OSCAT is 2h30 later With 1h timeslot in 4DVar, ASCAT(A+B)=1.8*ASCAT(A)
4 Operational use of scatterometer winds (2/3) Product: L2 wind product from the EUMETSAT OSI-SAF (KNMI) 50km resolution (25km grid for ASCAT data) Received in NRT by EUMETCAST, WMO BUFR format Quality control (assimilated data): No model land fraction Model SST > -1 C for ice contamination Model or observation speed < 35 m/s KNMI Quality Flags unset (monitoring, variational control, distance to cone (including ice screening for ASCAT, rain contamination for OSCAT)) OSCAT: Azimuth check between the 2 most likely solutions (>135deg)
5 Operational use of scatterometer Winds (3/3) Assimilation: Spatial correlations removal by 100km thinning for ASCAT, weight 0.27 for OSCAT Assimilated as neutral wind, zonal/meridian components Observation error dependence on cross-track position (since July 2013) No-bias correction All ambiguous solutions considered (until 4), including ASCAT winds De-aliasing of ambiguous solutions done on-the-fly during the assimilation processing OSCAT U/Vcomp error: 1.45m/s modulation: +5% / -2% Ucomp error: 1.39m/s Vcomp error: 1.54m/s ASCAT +/ - 8%
6 Bias / RMS (m) Pressure level (hpa) Bias / RMS (m) OSCAT-t1 versus without OSCAT, on January 2012 (1/6) ARPEGE Forecast score on Z / TEMP, zoom North America RMS(Z) scores difference / TEMP, isoline 0.25m Score Z500 r0+96h / TEMP w/o OSCAT better Forecast range (hour) Forecast validity (day)
7 OSCAT-t1 versus without OSCAT, on January 2012 (2/6) OSCAT Forecast Error Contribution for the forecast run of 09/01 r OSCAT role very detrimental on the North Pacific ( J/Kg) 2 zones: one limited with high values, another wider and with relative lower values Forecast error contribution generally weak (grey is within 5% of the max value) Globally, OSCAT is detrimental on this run (+499 J/Kg) Some areas have higher impacts, including the North Pacific
8 OSCAT-t2: test 1 +azimuth CTRL versus without OSCAT, January 2012 (3/6) OSCAT Forecast Error Contribution for the forecast run of 09/01 r0 OSCAT-t1 run FEC (J/Kg) N. Pacific FEC (J/Kg) Global Score RMS(Z500) N.A +96h / TEMP (m) M1 M2 Reference n.a n.a 53 OSCAT-t M1+M OSCAT-t OSCAT-t2 +azimuth control Global
9 OSCAT-t1 OSCAT-t2: test 1 +azimuth CTRL versus without OSCAT, January 2012 (4/6) ARPEGE Forecast score on Z500 r0+96h / TEMP, North America & Europe OSCAT-t2 +azimuth control
10 Pressure level (hpa) OSCAT-t1 OSCAT-t2: test 1 +azimuth CTRL versus without OSCAT, 2 periods (5/6) ARPEGE forecast scores RMS(Z) difference / TEMP, large areas January 2012 (31 cases) OSCAT-t2 December 2012, context pre-operational (24 cases) w/o OSCAT better +azimuth control with OSCAT better January 2012: RMS(Z) score more neutral with the azimuth check (++NH, -SH) December 2012 (pre-operational context): positive impact of OSCAT (with azimuth check) confirmed
11 OSCAT-t2 versus without OSCAT, January 2012 (6/6) regional model ALADIN-Réunion (South-West Indian ocean) Tropical Cyclones position error 6 hours Predictability improvement with OSCAT
12 Scatterometer winds impact in operational ARPEGE (1/2) Degrees of Freedom for Signal in % (observations impact in analysis) Forecast Error Contribution (reduction) in % September 2012: ASCAT-A September 2013: ASCAT-A&B, OSCAT AMSU-A IASI Aircrafts 5.57% SCATT Temp 7.9% (3.2% ASCAT, 4.7% OSCAT) ASCAT-A&B, OSCAT in 2013: 2% of used data
13 Scatterometer winds impact in operational ARPEGE (2/2) ASCAT-A ASCAT-B OSCAT FEC all SCATT
14 Conclusion OSCAT was beneficial for the forecast skill under condition of a safe selection of data Operational use of scatterometer winds suffers now of the loss of OSCAT Scatterometer winds are very beneficial for tracking the tropical cyclones and the southern storms Scatterometer constellation well distributed may have an important impact in term of forecast error reduction There are still rough things, so I think we can do even better!
15 As an example, OSCAT could have been even better New OSCAT error tuning Ucomp error: 1.45m/s RMS(Z) scores difference / TEMP isoline 0.25m new OSCAT error tuning better Forecast score impact Vcomp error: 1.40m/s
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