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© Crown copyright Met Office Update on CAVIAR field experiments Stuart Newman NPL, 29 September 2010
© Crown copyright Met Office Contents This presentation covers the following areas Continuum coefficient estimates from ARIES in cm -1 band Microwave retrievals as humidity constraint Can we use IASI satellite data over Swiss Alps mountainous terrain?
© Crown copyright Met Office Continuum estimates from ARIES data
© Crown copyright Met Office Field campaign summary: UK (Camborne), Switzerland (Jungfraujoch) FlightDateWeather conditionsNotes B Persistent boundary layer cloudPartial NPL data B Persistent boundary layer cloudPartial NPL data B Good clear sky conditionsSonde chase, good flight B Cloud at times over JungfraujochPartial NPL data B Initially thin cirrus which clearedGood NPL data B Good clear sky conditionsFLASH sonde + MetOp overpass B Cloud at times over JungfraujochPartial NPL data B Some thin cirrus encroachingGood NPL data B Excellent clear sky conditionsMetOp overpass B Excellent clear sky conditionsARIES failure B Excellent clear sky conditionsNo TAFTS B Partial cloud over JungfraujochCancelled am flight, pm only
© Crown copyright Met Office Accurate humidity profiles are crucial Dropsondes are widely recognised as most accurate source of humidity data from the aircraft However, for runs immediately after a profile descent (e.g ft down to ft) FWVS may be more representative Can compare sources of humidity data to estimate uncertainties
© Crown copyright Met Office CAVIAR example B Jul-2009 Initial run at high level for radiance measurements (here looking up) Spiral descent over Jungfraujoch observatory measuring in situ water vapour (rapid response FWVS probe used here) Subsequent run at lower level for radiance measurements (here looking up) Determine change in radiance due to water vapour in atmospheric path Derive continuum strength, compare to MT_CKD model in LBLRTM If ARIES measures lower emission than LBLRTM/MT_CKD implies smaller continuum coefficient If ARIES measures higher emission than LBLRTM/MT_CKD implies larger continuum coefficient
© Crown copyright Met Office Combined results Selected data from flights B467-B474 Outliers at odds with laboratory measurements?
© Crown copyright Met Office Microwave humidity retrievals
© Crown copyright Met Office Humidity information from MARSS Microwave measurements from MARSS radiometer on FAAM aircraft are co-located with ARIES IR measurements In principle microwave observations at 183 GHz can be used to constrain water vapour profile above the aircraft Microwave Airborne Radiometer Scanning System (MARSS)
© Crown copyright Met Office Humidity information from MARSS Three MARSS channels are sensitive to the water vapour profile 183 GHz line
© Crown copyright Met Office Microwave retrieved humidity
© Crown copyright Met Office Microwave retrieved humidity
© Crown copyright Met Office Microwave retrieved humidity Tendency is for humidity to be reduced in retrievals where IWV is highest
© Crown copyright Met Office Combined results Selected data from flights B467-B474 Outliers still at odds with laboratory measurements?
© Crown copyright Met Office IASI satellite data over mountainous terrain
© Crown copyright Met Office Can we use IASI data over Swiss Alps? IASI interferometer on MetOp polar-orbiting satellite covers a similar spectral range ( cm -1 ) to ARIES, so offers chance to intercompare measurements Flights on 20/7, 27/7 and 1/8/2009 coincided with MetOp overpasses However, IASI footprint is approx. 12 km diameter – over mountainous regions it is a challenge to represent the surface boundary and lower atmosphere properly…
© Crown copyright Met Office Sensitivity to trace gases Increased CH 4 concentration is needed to simulate spectrum in cm -1 region
© Crown copyright Met Office Model surface pressure Flight track IASI footprints Dropsonde Jungfraujoch Use COSMO local area model to assign surface pressure to satellite footprints
© Crown copyright Met Office Humidity profile from non-continuum IASI lines (assumes constant surface emissivity) Use spectral information in weaker monomer lines to infer modified water vapour profile consistent with the measurement
© Crown copyright Met Office Humidity profile from non-continuum IASI lines Increase in humidity at lower levels, decrease higher up
© Crown copyright Met Office Combined results Including satellite measurements
© Crown copyright Met Office Summary Constraining humidity profiles for case studies remains the most difficult problem to solve Use of MARSS microwave data to retrieve humidity may be subject to error if microwave water vapour continuum is not adequately modelled Promising approach is to use monomer lines in ARIES and IASI spectra to retrieve humidity within instrument field of view (need to extend to more lines) The derived continuum coefficients in range cm -1 still seem to be at odds with laboratory data – is this due to uncertainties in field data or is this real?
© Crown copyright Met Office Questions and answers
© Crown copyright Met Office CAVIAR field campaigns update Stuart Newman UCL, 13 May 2010.
© Crown copyright Met Office CAVIAR Update to Met Office work on field campaigns Stuart Newman Imperial College, 29 March 2011.
© Crown copyright Met Office CAVIAR ARIES water vapour continuum results Stuart Newman Reading, 6 December 2010.
© Crown copyright Met Office CAVIAR field campaigns meeting Stuart Newman Exeter, 29 April 2010.
CAVIAR flights 9 flights Runs 15,000 to 35,000 feet Spiral descents over Jungfraujoch Dropsondes from high level MetOp underflights FL150 FL350.
© Crown copyright 2007 CAVIAR flight plans Stuart Newman, Met Office, Exeter, UK.
© Crown copyright Met Office Overview of Camborne field campaign Stuart Newman Imperial College, 16 December 2008.
© Crown copyright Met Office First look at Camborne data Stuart Newman Reading, 25 November 2008.
© Crown copyright Met Office Initial assessment of ARIES continuum measurements Stuart Newman Imperial College, 16 December 2008.
TAFTS: Comparing Uncertainties in Atmospheric Profiles with the Water Vapour Continuum Ralph Beeby, Paul Green, Juliet Pickering, John Harries.
© Crown copyright Met Office Mid-infrared observations of the water vapour continuum from CAVIAR field campaigns Stuart Newman and co-workers Coseners.
TAFTS: Atmospheric Profile Uncertainty and Continuum Contribution Ralph Beeby Paul Green, Juliet Pickering 29 th September 2010.
Page 1© Crown copyright 2004 Cirrus Measurements during the EAQUATE Campaign C. Lee, A.J. Baran, P.N. Francis, M.D. Glew, S.M. Newman and J.P. Taylor.
CAVIAR Field Campaign Meeting, Imperial College 29/3/11 TAFTS: Water Vapour Continuum Data from the 2008 CAVIAR Field Campaign Ralph Beeby, Paul Green,
© Crown copyright Met Office An update on plans for CAVIAR field campaigns Stuart Newman NPL, 2 June 2008.
TAFTS: CAVIAR field data from Camborne 2008 Ralph Beeby, Paul Green, Juliet Pickering, John Harries.
TAFTS: Comparison of Camborne Spectra with Simulations Ralph Beeby, Paul Green, Juliet Pickering CAVIAR Field Campaign Meeting, Reading University, 6/12/10.
Overview of Camborne, UK and Jungfraujoch, Switzerland Field Campaigns CAVIAR Annual Meeting 15 th Dec 2009, Abingdon Marc Coleman, Tom Gardiner, Nigel.
Far infrared sensitivity to water vapour variability near the Tropopause: The importance of airborne measurements Jon Murray Imperial College London Talk:
© Crown copyright Met Office SALSTICE: the aircraft and ground based campaign in USA (May 2013) Stu Newman, Chawn Harlow and co-workers OBR conference,
Infrared Interferometers and Microwave Radiometers Dr. David D. Turner Space Science and Engineering Center University of Wisconsin - Madison
Page 1 CAVIAR: TAFTS flight planning: Pt 1 Paul Green, John Harries, Alan Last, Ralph Beeby Imperial College London CAVIAR flight planning meeting 20th.
CAVIAR Annual Meeting Cosener’s House,14 th Dec 2009 Page 1 Introduction Calibration at NPL Summer 2009 Flight campaign Water vapour profiles So preliminary.
© Crown copyright Met Office MEVALI Detachment Brief Chawn Harlow, FAAM, 20/10/11.
© Crown copyright Met Office STICCS science aims Stuart Fox, Chawn Harlow, Clare Lee, Patrick Eriksson, Eric Defer + others…
Water Vapour & Cloud from Satellite and the Earth's Radiation Balance - Chris Nankervis University of Edinburgh.
1 Analysis of BBCRDS Spectra: Inferred Upper Limits for Water Dimer Absorption A.J.L. Shillings 1, S.M. Ball 2 and R.L. Jones 1 1 University of Cambridge,
Liam Tallis. Introduction Know the vertical distribution of water vapour in the atmosphere Profile for input into radiative transfer schemes Need to know.
© Crown copyright Met Office Assimilating infra-red sounder data over land John Eyre for Ed Pavelin Met Office, UK Acknowledgements: Brett Candy DAOS-WG,
Flight Data Simulations and the Extraction of the Continuum from the Far-IR Ralph Beeby Paul Green, Juliet Pickering, John Harries.
UCLA Vector Radiative Transfer Models for Application to Satellite Data Assimilation K. N. Liou, S. C. Ou, Y. Takano and Q. Yue Department of Atmospheric.
Far-infrared spectroscopy of atmospheric water vapour Cathryn Fox.
Integrated Profiling at the AMF Kerstin Ebell 1, Ulrich Löhnert 1, Susanne Crewell 1, Dave Turner 2 1 Institute for Geophysics and Meteorology, University.
Retrieval of cloud parameters from the new sensor generation satellite multispectral measurement F. ROMANO and V. CUOMO ITSC-XII Lorne, Victoria, Australia.
Page 1© Crown copyright The Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 Steve Abel First VOCALS Regional Experiment (REx) Preparatory.
Far-infrared Spectral Radiance Observations of the Arctic Atmosphere Neil Humpage, Paul Green: Imperial College London Dave D. Turner: University of Wisconsin.
ECMWF/EUMETSAT NWP-SAF Satellite data assimilation Training Course 1 to 4 July 2013.
Use of Solar Reflectance Hyperspectral Data for Cloud Base Retrieval Andrew Heidinger, NOAA/NESDIS/ORA Washington D.C, USA Outline " Physical basis for.
Passive Microwave Remote Sensing. Outline Passive Microwave Radiometry.
© Crown copyright Met Office Met Office flying during DIAMET: EXT&MIX Richard Cotton.
Imperial studies on spectral signatures: Part I CLARREO meeting, 30 th April-2 nd May, 2008 © Imperial College LondonPage 1 Helen Brindley and John Harries.
CAVIAR Meeting May 2010 Liam Tallis, Keith Shine, Tom Gardiner, Marc Coleman, Igor Ptashnik.
© University of Reading June 2015 CAVIAR Experimenters Meeting 2009 Liam Tallis.
Ground-based FTIR Update CAVIAR Meeting NPL, 29 th September 2010 Tom Gardiner, Marc Coleman.
NARVAL South Lutz Hirsch, Friedhelm Jansen Sensor Synergy While Radars and Lidars provide excellent spatial resolution but only ambiguous information on.
1 Atmospheric Radiation – Lecture 13 PHY Lecture 13 Remote sensing using emitted IR radiation.
1 Igor Ptashnik (Reading) 29 April, 2010 Field CAVIAR meeting, Met-Office MTCKD-2.5 Date: January 2010 MT_CKD_2.5 continuum modifications included in this.
Diagnosing Climate Change from Satellite Sounding Measurements – From Filter Radiometers to Spectrometers William L. Smith Sr 1,2., Elisabeth Weisz 1,
16 December 2008 CAVIAR Annual Meeting Claudine Chen and John E Harries Claudine Chen and John E Harries Space and Atmospheric Physics group, Blackett.
Intercomparisons of AIRS and NAST retrievals with Dropsondes During P- TOST (Pacific Thorpex Observational System Test) NASA ER-2 NOAA G-IV Dropsonde.
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