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© Crown copyright Met Office CAVIAR Update to Met Office work on field campaigns Stuart Newman Imperial College, 29 March 2011
© Crown copyright Met Office Contents This presentation covers the following areas New data Recent work on Camborne B400 case study Improved ARIES profile retrievals CAVIAR 1.0 continuum in LBLRTM Agreement/discrepancies in continuum coefficients
© Crown copyright Met Office Recap on ARIES case study data CampaignGood ARIES nadir data?Good ARIES zenith data? Camborne (field of view mis-pointing corrected end 2008) Jungfraujoch Result: lack of data sensitive to the self-broadened continuum in range cm -1 Also desirable to have night-time data to probe spectrum > 2000 cm-1 contaminated by solar radiation in daytime
© Crown copyright Met Office New flights during FAAM detachment to Exeter airport CAVIAR evening flight on 7 March VACAR-CAVIAR evening flight on 18 March ARIES performed mostly ok…
© Crown copyright Met Office Very preliminary analysis Very dry layer
© Crown copyright Met Office Very preliminary analysis Orbits to increase zenith slant path
© Crown copyright Met Office Very preliminary analysis
© Crown copyright Met Office Very preliminary analysis
© Crown copyright Met Office Very preliminary analysis Reduce bias with better T- dependence?
© Crown copyright Met Office B400 case (18/9/2008) revisited Look again at retrieving profile information from ARIES monomer channels Characteristics of background errors (matrix of error covariances for temperature and humidity) very important B-matrixAdvantagesDisadvantages ECMWFwell-tested in NWPinflexible, global average toy modelflexiblemay not be realistic campaign- specific directly applicable to case study need good statistics
© Crown copyright Met Office Error covariance estimates from dropsondes and radiosondes
© Crown copyright Met Office Error covariance estimates from dropsondes and radiosondes Large variance in humidity
© Crown copyright Met Office Error covariance estimates from dropsondes and radiosondes Diagonal contains variances 2 : level i versus level i Off-diagonals are covariances ij : level i versus level j
© Crown copyright Met Office Error covariance estimates from dropsondes and radiosondes Large variance in humidity near 400 hPa
© Crown copyright Met Office Error covariance estimates from dropsondes and radiosondes Can also compute T-q covariances T(level i) versus q(level j)
© Crown copyright Met Office ARIES B400 retrievals Temperature
© Crown copyright Met Office ARIES B400 retrievals Humidity
© Crown copyright Met Office ARIES B400 retrievals Spectral channels used (CO 2 and H 2 O monomer)
© Crown copyright Met Office So… in theory now have a better baseline profile of temperature and humidity to probe continuum channels ARIES B400 retrievals
© Crown copyright Met Office ARIES B400 foreign continuum Obs-calc residuals are within ± 2 K for continuum-sensitive channels (with LBLRTM as simulation using MT_CKD 2.5)
© Crown copyright Met Office Continuum coefficients including ARIES Jungfraujoch results
© Crown copyright Met Office Continuum coefficients ARIES nadir data from Camborne in better agreement with MT_CKD and Igor/RAL than Jungfraujoch zenith data outliers
© Crown copyright Met Office Continuum coefficients Satellite (IASI) data from Camborne and Jungfraujoch also in reasonable agreement with MT_CKD and Igor/RAL outliers
© Crown copyright Met Office CAVIAR 1.0 continuum Thanks to Igor for supplying coefficients Relatively big changes
© Crown copyright Met Office Putting new CAVIAR continuum in LBLRTM Interpolate continuum coefficients to 1 cm -1 resolution (instead of 10 cm -1 ) Replace foreign-broadened and self-broadened (260 K and 296 K) coefficients in range cm -1 as supplied by Igor Seems to run!
© Crown copyright Met Office ARIES B400 continuum 1950 cm -1 region stands out
© Crown copyright Met Office And finally… far longwave ARIES data Positive bias < 700 cm -1
© Crown copyright Met Office Reference with NPL data ARIES performance falls off < 700 cm -1
© Crown copyright Met Office Summary and things to do New profile retrievals using ARIES monomer channels, seems to produce better fit to data Water vapour continuum coefficients retrieved from ARIES/IASI nadir data in range cm -1 are in fairly close agreement with Igor/RAL data, except around 1950 cm -1 where discrepancy is unexplained – able to compare with NPL-FTS data? Continuum coefficients from Jungfraujoch data are still smaller; need to reanalyse these data using ARIES retrievals (as above) Igor/RAL continuum coefficients included in LBLRTM at 1 cm -1 resolution, this seems to work without slowing down program ARIES data at extreme longwave end (overlap with TAFTS) are subject to noise/bias, need to quality control carefully
© Crown copyright Met Office Questions and answers
© 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 Very preliminary analysis
© Crown copyright Met Office CAVIAR 1.0 continuum Thanks to Igor for supplying coefficients
© Crown copyright Met Office Update on CAVIAR field experiments Stuart Newman NPL, 29 September 2010.
© Crown copyright Met Office CAVIAR field campaigns update Stuart Newman UCL, 13 May 2010.
© 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.
© Crown copyright Met Office Initial assessment of ARIES continuum measurements Stuart Newman Imperial College, 16 December 2008.
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 Met Office Overview of Camborne field campaign Stuart Newman Imperial College, 16 December 2008.
© Crown copyright Met Office Mid-infrared observations of the water vapour continuum from CAVIAR field campaigns Stuart Newman and co-workers Coseners.
© Crown copyright 2007 CAVIAR flight plans Stuart Newman, Met Office, Exeter, UK.
© Crown copyright Met Office First look at Camborne data Stuart Newman Reading, 25 November 2008.
CAVIAR Field Campaign Meeting, Imperial College 29/3/11 TAFTS: Water Vapour Continuum Data from the 2008 CAVIAR Field Campaign Ralph Beeby, Paul Green,
TAFTS: Comparing Uncertainties in Atmospheric Profiles with the Water Vapour Continuum Ralph Beeby, Paul Green, Juliet Pickering, John Harries.
TAFTS: CAVIAR field data from Camborne 2008 Ralph Beeby, Paul Green, Juliet Pickering, John Harries.
© Crown copyright Met Office An update on plans for CAVIAR field campaigns Stuart Newman NPL, 2 June 2008.
TAFTS: Atmospheric Profile Uncertainty and Continuum Contribution Ralph Beeby Paul Green, Juliet Pickering 29 th September 2010.
Page 1 CAVIAR: TAFTS flight planning: Pt 1 Paul Green, John Harries, Alan Last, Ralph Beeby Imperial College London CAVIAR flight planning meeting 20th.
Overview of Camborne, UK and Jungfraujoch, Switzerland Field Campaigns CAVIAR Annual Meeting 15 th Dec 2009, Abingdon Marc Coleman, Tom Gardiner, Nigel.
Flight Data Simulations and the Extraction of the Continuum from the Far-IR Ralph Beeby Paul Green, Juliet Pickering, John Harries.
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.
TAFTS: Comparison of Camborne Spectra with Simulations Ralph Beeby, Paul Green, Juliet Pickering CAVIAR Field Campaign Meeting, Reading University, 6/12/10.
© University of Reading Department of Meteorology Effect of variation of water vapour amount on derived TOA solar spectrum Kaah.
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.
Far infrared sensitivity to water vapour variability near the Tropopause: The importance of airborne measurements Jon Murray Imperial College London Talk:
CAVIAR Meeting May 2010 Liam Tallis, Keith Shine, Tom Gardiner, Marc Coleman, Igor Ptashnik.
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,
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.
Far-infrared spectroscopy of atmospheric water vapour Cathryn Fox.
© Crown copyright Met Office STICCS science aims Stuart Fox, Chawn Harlow, Clare Lee, Patrick Eriksson, Eric Defer + others…
1 Annual CAVIAR meeting, , Imperial College London Water vapour continuum absorption in near- and middle-IR: Recent investigations Department.
© Crown copyright Met Office Met Office flying during DIAMET: EXT&MIX Richard Cotton.
Retrieval of cloud parameters from the new sensor generation satellite multispectral measurement F. ROMANO and V. CUOMO ITSC-XII Lorne, Victoria, Australia.
1 3D-Var assimilation of CHAMP measurements at the Met Office Sean Healy, Adrian Jupp and Christian Marquardt.
Page 1 CAVIAR flying debrief 2009 NPL calibration and Switzerland flying Paul Green, Ralph Beeby, Alan Last, Juliet Pickering, John Harries Imperial College.
© Crown copyright Met Office SALSTICE: the aircraft and ground based campaign in USA (May 2013) Stu Newman, Chawn Harlow and co-workers OBR conference,
The vertical resolution of the IASI assimilation system – how sensitive is the analysis to the misspecification of background errors? Fiona Hilton and.
Far-infrared Spectral Radiance Observations of the Arctic Atmosphere Neil Humpage, Paul Green: Imperial College London Dave D. Turner: University of Wisconsin.
© University of Reading Richard Allan Department of Meteorology, University of Reading Thanks to: Jim Haywood and Malcolm.
October 02, st IHOP_2002 Water Vapor Intercomparison Workshop Status of intercomparisons and the next steps Characterize moisture measuring techniques.
15. Oktober Oktober Oktober 2012.
© University of Reading June 2015 CAVIAR Experimenters Meeting 2009 Liam Tallis.
Robin Hogan Ewan OConnor Anthony Illingworth Department of Meteorology, University of Reading UK PDFs of humidity and cloud water content from Raman lidar.
Liam Tallis. Introduction Know the vertical distribution of water vapour in the atmosphere Profile for input into radiative transfer schemes Need to know.
© University of Reading Department of Meteorology Deriving the Extraterrestrial Solar Spectrum Kaah Menang, Liam Tallis, Igor Ptashnik.
1 Proposed new uses for the Ceilometer Network Christine Chiu Ewan OConner, Robin Hogan, James Holmes University of Reading.
© Crown copyright Met Office Assimilating infra-red sounder data over land John Eyre for Ed Pavelin Met Office, UK Acknowledgements: Brett Candy DAOS-WG,
1 Copyright © 2013 Elsevier Inc. All rights reserved. Appendix 01.
16 December 2008 CAVIAR Annual Meeting Claudine Chen and John E Harries Claudine Chen and John E Harries Space and Atmospheric Physics group, Blackett.
Methane Retrievals in the Thermal Infrared from IASI AGU Fall Meeting, 14 th -18 th December, San Francisco, USA. Diane.
CAVIAR Meeting Exeter April 2010 Liam Tallis, Keith Shine, Tom Gardiner, Marc Coleman, Igor Ptashnik.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Requirement: Provide information to air quality decision makers and improve.
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