© University of Reading 2008 www.reading.ac.uk Department of Meteorology Effect of variation of water vapour amount on derived TOA solar spectrum Kaah.

Slides:

Advertisements

Similar presentations

Slide 1 Insert your own content. Slide 2 Insert your own content.

Advertisements

Department of Computer Science and Engineering Normal Estimation for Point Clouds: A Comparison Study for a Voronoi Based Method Tamal K. DeyGang LiJian.

Writing an Equation of a Line

Detection of weak optical signals D.R. Selviah, R.C. Coutinho, H.A. French and H.D. Griffiths Department of Electronic and Electrical Engineering, University.

Quantifying sub-grid cloud structure and representing it GCMs

Proposed new uses for the Ceilometer Network

TAFTS: Atmospheric Profile Uncertainty and Continuum Contribution Ralph Beeby Paul Green, Juliet Pickering 29 th September 2010.

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.

CAVIAR Field Campaign Meeting, Imperial College 29/3/11 TAFTS: Water Vapour Continuum Data from the 2008 CAVIAR Field Campaign Ralph Beeby, Paul Green,

Ground-based FTIR Update CAVIAR Meeting NPL, 29 th September 2010 Tom Gardiner, Marc Coleman.

1 Water vapour self-continuum: Recent update from Reading/RAL Semi-annual CAVIAR meeting UCL, London Igor Ptashnik, Keith Shine, Andrey Vigasin.

1 Water vapour self-continuum: Recent interpretation Igor Ptashnik, Keith Shine, Andrey Vigasin University of Reading (UK) Zuev Institute of Atmospheric.

1 Annual CAVIAR meeting, , Imperial College London Water vapour continuum absorption in near- and middle-IR: Recent investigations Department.

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,

© Crown copyright Met Office CAVIAR Update to Met Office work on field campaigns Stuart Newman Imperial College, 29 March 2011.

© Crown copyright Met Office Overview of Camborne field campaign Stuart Newman Imperial College, 16 December 2008.

© Crown copyright Met Office CAVIAR field campaigns update Stuart Newman UCL, 13 May 2010.

The impact of water vapour continuum on absorption of solar radiation – a preliminary analysis of the impact of the new RAL measurements Julie Chenery,

CAVIAR – Continuum Absorption by Visible and Infrared Radiation and its Atmospheric Relevance PI: Keith Shine Department of Meteorology, University of.

CAVIAR – Continuum Absorption by Visible and Infrared Radiation and its Atmospheric Relevance PI: Keith Shine Department of Meteorology, University of.

16 December 2008 CAVIAR Annual Meeting Claudine Chen and John E Harries Claudine Chen and John E Harries Space and Atmospheric Physics group, Blackett.

CAVIAR meeting May, 13, 2010 – UCL, London 1/11 Cambridge Centre for Atmospheric Science Broad Band Cavity Enhanced Absorption Spectroscopy of the Water.

Theoretical work on the water monomer and dimer Matt Barber Jonathan Tennyson University College London 13 th May 2010

Overview of Camborne, UK and Jungfraujoch, Switzerland Field Campaigns CAVIAR Annual Meeting 15 th Dec 2009, Abingdon Marc Coleman, Tom Gardiner, Nigel.

EUMETSAT 2006 Helsinki Exploitation of GERB/SEVIRI data for evaluation of the Met Office global forecast model Richard Allan, Tony Slingo Environmental.

Robin Hogan & Anthony Illingworth Department of Meteorology University of Reading UK Parameterizing ice cloud inhomogeneity and the overlap of inhomogeneities.

Robin Hogan Ewan OConnor Anthony Illingworth Department of Meteorology, University of Reading UK PDFs of humidity and cloud water content from Raman lidar.

GERB/CERES Meeting 2006 Exeter Evaluation of clouds and radiation in the Met Office global forecast model using GERB/SEVIRI data Richard Allan, Tony Slingo.

© University of Reading Department of Meteorology Deriving the Extraterrestrial Solar Spectrum Kaah Menang, Liam Tallis, Igor Ptashnik.

Multivariate Data/Statistical Analysis SC504/HS927 Spring Term 2008 Week 18: Relationships between variables: simple ordinary least squares (OLS) regression.

CAVIAR Meeting Exeter April 2010 Liam Tallis, Keith Shine, Tom Gardiner, Marc Coleman, Igor Ptashnik.

CAVIAR Meeting May 2010 Liam Tallis, Keith Shine, Tom Gardiner, Marc Coleman, Igor Ptashnik.

SLOPE Objectives: Find the slope of a line given the coordinates of two points on the line Graph equations using y=mx+b form.

Test B, 100 Subtraction Facts

U1B L2 Reviewing Linear Functions

11 = This is the fact family. You say: 8+3=11 and 3+8=11

Determining How Costs Behave

Linear Equations Review. Find the slope and y intercept: y + x = -1.

Development of a Simulated Synthetic Natural Color ABI Product for GOES-R AQPG Hai Zhang UMBC 1/12/2012 GOES-R AQPG workshop.

TAFTS: Comparison of Camborne Spectra with Simulations Ralph Beeby, Paul Green, Juliet Pickering CAVIAR Field Campaign Meeting, Reading University, 6/12/10.

© Crown copyright Met Office CAVIAR ARIES water vapour continuum results Stuart Newman Reading, 6 December 2010.

Lecture 4: Correlation and Regression Laura McAvinue School of Psychology Trinity College Dublin.

David Paynter, Igor Ptashnik, Keith Shine Department of Meteorology University of Reading Kevin Smith (RAL) June 2006 Pure water vapor continuum measurements.

Flight Data Simulations and the Extraction of the Continuum from the Far-IR Ralph Beeby Paul Green, Juliet Pickering, John Harries.

1 CAVIAR meeting in NPL 2 June 2008 Water vapour continuum in near-IR band centres: Recent RAL measurements, results and problems I. Ptashnik & K. Shine.

© University of Reading Department of Meteorology Deriving the Extraterrestrial Solar Spectrum Kaah Menang, Liam Tallis, Igor Ptashnik.

Page 1 1 of 20, EGU General Assembly, Apr 21, 2009 Vijay Natraj (Caltech), Hartmut Bösch (University of Leicester), Rob Spurr (RT Solutions), Yuk Yung.

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales License Lab 6: Saliva Practical Beer-Lambert.

© University of Reading June 2015 CAVIAR Experimenters Meeting 2009 Liam Tallis.

ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.

COST 723 Training School - Cargese October 2005 OBS 2 Radiative transfer for thermal radiation. Observations Bruno Carli.

Blue: Histogram of normalised deviation from “true” value; Red: Gaussian fit to histogram Presented at ESA Hyperspectral Workshop 2010, March 16-19, Frascati,

AGU 2002 Fall Meeting NASA Langley Research Center / Atmospheric Sciences Validation of GOES-8 Derived Cloud Properties Over the Southeastern Pacific J.

Analysis of Aerosol Particle Concentration Using MFRSR Goddard Institute For Space Studies The City College Of New York, Department of Electrical Engineering.

Royal Meteorological Institute of Belgium Validation of the method to retrieve the AOD and first preliminary results of the aerosol campaign. RMI December.

© Imperial College LondonPage 1 Estimating the radiative effect of mineral dust over ocean The radiance to flux problem Dust retrieval quality Applying.

. 5.1 write linear equation in slope intercept form..5.2 use linear equations in slope –intercept form..5.3 write linear equation in point slope form..5.4.

Matched Filtering as a Separation Tool – review example In any map of total magnetic intensity, various sources contribute components spread across the.

© Imperial College LondonPage 1 Estimating the Saharan dust loading over a west African surface site GIST 26: May 2007.

Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,

Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC.

CHAPTER 3 Describing Relationships

Water-vapor contamination on Prelaunch SRF measurements

Investigating Cloud Inhomogeneity using CRM simulations.

Vicarious calibration by liquid cloud target

DETERMINATION OF PHOTOSYNTHETICALLY ACTIVE RADIATION

S519: Evaluation of Information Systems

Presentation transcript:

© University of Reading Department of Meteorology Effect of variation of water vapour amount on derived TOA solar spectrum Kaah Menang, Liam Tallis, Igor Ptashnik and Keith Shine.

CAVIAR Field Meeting, Imperial College -London(29 March2011) Outline Derived TOA solar spectra from Camborne Effect of Changing water vapour amount on derived TOA solar spectra Discussion and future work 2

CAVIAR Field Meeting, Imperial College -London(29 March2011) From last meeting: 3

CAVIAR Field Meeting, Imperial College -London(29 March2011) From last meeting 4

CAVIAR Field Meeting, Imperial College -London(29 March2011) Meetings with Tom Gardiner 5 Add more observations Calculate statistical errors on linear fits Filter observations using FTS DC signals

CAVIAR Field Meeting, Imperial College -London(29 March2011) Results-CO2 region (more obs+errors) 6

CAVIAR Field Meeting, Imperial College -London(29 March2011) New Results(CO2 region)-compared w previous 7

CAVIAR Field Meeting, Imperial College -London(29 March2011) Effect of changing WV amount on derived TOA 8 Method 1: Numerically Beers law: Assume that optical depth changes linearly with time of the day (solar zenith angle) in Beers law. k depends on assumed % change in optical depth, m is the range of airmass for the day and m 0 is the minimum airmass of the day.

CAVIAR Field Meeting, Imperial College -London(29 March2011) Effect of changing WV amount on derived TOA 9

CAVIAR Field Meeting, Imperial College -London(29 March2011) Effect of changing WV amount on derived TOA 10

CAVIAR Field Meeting, Imperial College -London(29 March2011) Effect of changing WV amount on derived TOA 11 Method 2: Analytically (Igor Ptashnik) Used the fact that there are 2 sources of deviation of y- intercept ( lnF ν 0 ) of Langley plot: change in slope and parallel shift of the linear fit. Assumption: changes in derieved F ν 0 between micro window and line centre is due to changing water vapour amount only.

CAVIAR Field Meeting, Imperial College -London(29 March2011) Effect of changing WV amount on derived TOA 12 Relative change in water vapour: Relative change in derived F ν 0 :

CAVIAR Field Meeting, Imperial College -London(29 March2011) Effect of changing WV amount on derived TOA 13 Using typical values of c, change in intercept( lnF ν 0 ) and τ, the relative change in retrieved F ν 0 due to changing water amount is less than 1 % in atmospheric micro windows. Relative change in line centres are higher.

CAVIAR Field Meeting, Imperial College -London(29 March2011) Summary and Future Work 14 Using observations that span the whole day has led to contamination of TOA solar spectrum by telluric lines. Changing water vapour not a likely cause for the observed differences in derived TOA solar spectrum. Differences may be caused by the passage of clouds during measurements and/or instability of the FTS. Filtering using FTS DC signals does not change results very much. Filter the water vapour lines in the derived TOA solar spectrum using optical depths derived from LBL simulations.