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Page 1 TAFTS in CAVIAR 2008-09 Paul Green, Ralph Beeby, Alan Last, John Harries, Juliet Pickering Imperial College London Stu Newman, Jonathon Taylor @ UK Met. Office Eric Usadi, Tom Gardiner, Marc Colman, @ NPL FAAM CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 2 Introduction IC contribution to CAVIAR Far-IR science and the TAFTS instrument Radiometric calibration at NPL Summer 2009 Flight campaign Summer 2008 Flight campaign Closing remarks
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 3 IC Contribution TAFTS instrument upgrade Flight planning (lots of modelling) Instrument Calibration –Purpose built blackbody at NPL, July 2008 and May 2009 2 flight campaigns –Aug-Sept 2008, Camborne, UK [R Beeby next term] –July-Aug 2009, Jungfraujoch, Switzerland Synthesis of results Application of new continuum –Understanding of the impact of the new results on our understanding of present-day climate and climate change.
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 4 The TAFTS Instrument dual-input Martin-Puplett (polarizing) FTS with two spectral bands measure both nadir and zenith (+net) 4 liquid helium cooled detectors –80-300cm -1 (2 x Ge:Ga) –300-700cm -1 (2 x Si:Sb) resolution: 0.12cm -1 (apodized) single scan: 2 secs 4 internal BB sources employs Brault sampling scheme all built in-house (J Murray + A Canas) UKMO C-130, ARA Egrett, BAe-146
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 5 Tropical Standard Atmosphere cooling rate diagram Sub-arctic winter Standard Atmosphere cooling rate diagram
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 6 Current Issues in the far-IR (0-600cm -1 ) UTH variability and far-IR cooling to space –27-35% OLR from far-IR (Sinha and Harries 1995) –Heating rate diagram (Clough et al. 1992) –Far-IR transmission act as ‘valve’ in climate change scenarios (Shaw et al. 1999) –Proposed satellite missions - CLARREO Water vapour spectroscopy –Continuum measurements down to ~400cm -1 but nothing below (Tobin et al. 1999, Serio 2008) Cirrus clouds –Mean global coverage of ~30% –Contribution coincident with peak of far-IR emission. –Cools or warms depending on altitude, thickness, optical thickness, particle size and particle shape –Cirrus presence significantly changes spectral fluxes.
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History of TAFTS Flown on 3 aircraft C-130 (1999-2001), Egrett (2001-2002), FAAM 146 (2004+) Clear-sky campaigns EAQUATE – UK, Sept 2004 RHUBC – NSA ARM site USA, Feb-Mar 2007 CAVIAR – UK and Switzerland, Summer 2008 / 2009 Cirrus / Cloud campaigns EMERALD I/II – Australia, 2001 and 2002 WINTEX + CAESAR – UK, 2005 to 2007 CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 7
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Radiometric calibration At NPL 5 th - 15 th May 2009 Pre-campaign radiometric calibration with 2 external blackbody sources. NPLxBB and ICxBB. Differential instrument, always measures the difference between two views. Temperatures viewed covers those found in flight. (+10 to -55°C) Additional runs with both external blackbodies at near-equal but cold temperatures, to isolate the instrument self-emission term. 2008 – first dual input calibration and tested new beamsplitters CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 8
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 9 NPL external calibration blackbody Purpose-built traceable temperature standard calibrated BB for use by both TAFTS and ARIES [UKMO 3-16μm FTS] Alcohol cooled Temperature range –-75 to +30C Blackbody emissivity –0.996 0.002 (λ < 50 μm) –0.994 0.005 (50 μm < λ < 100 μm) –0.990 +0.005 / -0.02 (100 μm < λ < 200 μm) Eric Usadi, NPL
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Calibration run targets (2009) RunUW BBUW temp (degC) DW BBDW temp (degC) Internal BBs hot/cold A1ICxBB-26.2NPLxBB+5, -10, -25, -26.2 50/20 A2ICxBB-31.8NPLxBB+5, -10, -25, -31.8, -45, -55 60/amb A3ICxBB-32.4NPLxBB+5, -10, -25, -32.4, -40, -55 amb/60(40) B1NPLxBB-10, -25, -40, -41.2, -42.2 ICxBB-41.250/20 B2NPLxBB+5ICxBB-4460/amb B3NPLxBB+5, -10, -25, -40, -55 ICxBB-4070/40 CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 10
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Summer flying 2009 13 July – 12 August 2009 Based out of Basel, Switzerland 38.5hrs over 9 flights CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 11 Courtesy: Alan Foster
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 12 Flight Campaigns instrumentation FAAM BAe-146 –SWS [shortwave] –TAFTS [far-IR] –In-situ measurements General Eastern FWVS TWC –ARIES [mid-IR] –MARSS [microwave] –Dropsondes Payerne Sonde / GPS Models (UKMO and Swiss Met) From www.faam.ac.uk
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Jungfraujoch Mönch Jungfrau Eiger Courtesy: Stu Newman
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Flight campaign instrumentation Ground-based instrumentation –Radiosonde balloons (temperature, water vapour profile, wind) –GPS (water vapour) –NPL 0.7-14μm sun-pointing FTS BAe-146 in-situ –Radiometers, TAFTS, ARIES, SWS –In-situ (temp, WV, wind, cloud, aerosol etc.) –Water vapour: General Eastern FPH, FWVS, TWC –Dropsondes –BBRs, surface temp, hemispherical radiance Model fields –Swiss Met Office and ECMWF model fields CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 14
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CAVIAR 2009 Flight schedule DateFlightMeteorologyTAFTS performance 02/07/09B465N/ATest flight 16/07/09B466Clear (partial MC)R6-10 excellent; R1-6, 11,12 good 19/07/09B467*Some thin Ci, ↓R3-7R6-11.2 excellent; R1-5 good 20/07/09B468Night balloon launchR1,2,6,7 good; R3-5,8,9 ok 25/07/09B469StCu later in flightAll runs excellent 26/07/09B470*Occasional thin CiAll runs excellent 27/07/09B471*ClearR1-4 excellent; R5,6 lost chs; No R7,8 29/07/09B472ClearR1-8 excellent; No R9-13 [ARIES] 01/08/09B473ClearDid not fly - Helium 04/08/09B474*Partial MCR1-6 excellent; R7,8 lost chs; No R9-11 CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 15 MC – mountain cloud
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B471 – 27/07/09 CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 16 Profile 7 ~18kft 09:58UTC Profile 7 ~20kft 09:55UTC Profile 2 ~16kft 07:40UTC
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 17 Elevation data from: http://srtm.csi.cgiar.org/
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CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 18
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Water Vapour profiles Each group (IC, MO, Reading) involved in the flight campaign need to know the water vapour profile (and uncertainty) to compare with measured spectra. There are a number of sources of data; dropsonde, models, aircraft in-situ, satellites. Need to be compared and combined in an intelligent manner. All participants need to be using same profiles, for better cross-comparison… Workshop in week 30 Nov – 4 Dec 2009 @ IC involving SN, LT and PG CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 19
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Measuring Water Vapour CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 20
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Measuring Water Vapour CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 21
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Profile philosophy Dropsonde are most accurate measures of profile, but only occasional snap-shot. Aircraft in-situ measurements from frost-point hygrometer, fluorescence WV spectrometer and Nevzorov TWC, all have different response times and measurement characteristics. Provide profiles in ascents/descents and measure of variation along runs. ECMWF analysis model fields – 0.25° grid assimilating all available data, but produced via spherical harmonics scheme – limited detail. Swiss Met model GPS water vapour from JFJ JFJ surface measurements Satellite data (SEVIRI, IASI, AIRS etc) Microwave (MARSS) instrument on FAAM-146 And radiometer data itself – shouldn’t be forgotten. So how best to combine… CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 22
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Profile philosophy Dropsondes are an accurate snap-shot, ECMWF, even if biased, should give good idea of trend, temporally and spatially. Aircraft in- situ measurements as first check of this. Initially: 1)define a few points fixed points, representative of segments of the run (Camborne – Ocean N, Camborne, Ocean S). In this case, NW-SE runs, fortuitously follows ECMWF grid diagonal. 2)Sonde drop locations, naturally cluster about these points – so attribute dropsonde data to these locations. 3)Look at time of ECMWF fields analysis/forecast, dropsonde launch and aircraft run pass. Interpolate the ECMWF fields in time between these epochs, and produce a shift in T(p),q(p) from change in ECMWF field. So, any good? CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 23
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Time variance of assimilation CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 24
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Comparison of ECMWF correct profiles CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 25
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B471 Run 1 CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 26
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B471 Run 1 CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 27
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Atmospheric Profiling 2008 Pressure / hPa Water vapour / %RHTemperature / K CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009
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Uncertainty in Profiles Uncertainty in atmospheric profiles is a source of uncertainty in simulated spectra – this affects comparison between simulations and TAFTS spectra Make use of Jacobians in LBLRTM to assess sensitivity of spectra to uncertainties in temperature and relative humidity Analytic Jacobians: calculate dR/dx across spectral range where R = radiance and x = atmospheric parameter Indicates the change in radiance that would be caused by a change in a given atmospheric parameter (e.g., temperature, relative humidity) CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009
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Wavenumber / cm -1 Radiance / mW/m 2.sr.cm -1 dR/d log[vmr(H2O)] / mWm 2 sr.cm -1 /log[vmr]
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Wavenumber / cm -1 Radiance / mW/m 2.sr.cm -1
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Closing remarks Overall a very successful campaign. Best yet in terms of weather, instrument performance (TAFTS and others) and number of flights But lots to do… –Concentrate on B471. –Continue analysis of dropsonde / Payerne radiosonde data. –Determine most appropriate profile for each run – last week. –Calibrate B471 runs 2,3,4,5 and 6. –Compare with ARIES data (in cross-over region). –Uncertainty budget calculations with updated ε and ΔT from NPL-based calibration work. –LBL code updates – HITRAN2008 –Make continuum assessment, then validate with other flights. CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 32
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THANK YOU CAVIAR Annual Meeting Cosener’s House,15 th Dec 2009 Page 33
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Atmospheric Profiling Need to know the distribution of water vapour above and below the aircraft in order to compare TAFTS measurements with LBLRTM 1 /HITRAN 2 Aircraft performs straight, level runs (SLRs) to take measurements Collect data from different sources to produce a “best estimate” : Dropsondes released from aircraft Balloon radiosondes launched from Camborne 2-3 times daily ECMWF 3 forecast model Collaboration with Stuart Newman (Met Office) and Liam Tallis (Reading) to find best scheme for determining profile Vaisala RD93 dropsonde, courtesy www.vaisala.com
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