PSAP corrections. Observations Based Research. OBR Technical Note No th August Kate Turnbull. Amendment to MRF Technical Note No.

Similar documents
Overview of Met Office Intercomparison of Vaisala RS92 and RS41 Radiosondes

Magee Scientific Aethalometer

ACTRIS Workshop on the Reference method for Multi-Wavelength Absorption

The effect of overlying absorbing aerosol layers on remote sensing retrievals of cloud effective radius and cloud optical depth

MULTI-WAVELENGTH OPTICAL CALIBRATION OF THERMAL/OPTICAL ANALYZER AND

New Insights into Aerosol Asymmetry Parameter

Particle scattering, backscattering, and absorption coefficients: An in situ closure and sensitivity study

The Spectral Radiative Effects of Inhomogeneous Clouds and Aerosols

FLIGHT FOLDER. Flight No.: B145 Date: 5 Dec 2005 Take Off 10:55:24 Exeter Landing: 13:55:15 Exeter Flight Time 2h59m51. Campaign:

Constrained two-stream algorithm for calculating aerosol light absorption coefficient from the Particle Soot Absorption Photometer

Choosing the proper technique for measuring the particle light absorption

Why is the sky blue?

Observational campaigns Informing weather and climate model development for aerosols

An Overview of the Radiation Budget in the Lower Atmosphere

What are Aerosols? Suspension of very small solid particles or liquid droplets Radii typically in the range of 10nm to

Verification of Weather Warnings. Dr Michael Sharpe Operational verification and systems team Weather Science

Climate Change and the East Midlands Economy Executive Summary

The spatial distribution and radiative effects of soot in the snow and sea ice during the SHEBA experiment

HICO Science Mission Overview

Physical and optical properties of mineral dust aerosol measured by aircraft during the GERBILS campaign

Aerosol Optical Properties

Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere

(1) Verification Report: Johnson, C., (2010). Simandou Hills: Verification Study of high Resolution Modelling. Exeter: UK Meteorological Office.

An evaluation of radiative transfer modelling error in AMSU-A data

Available online at I-SEEC Proceeding - Science and Engineering (2013)

Optical, physical, and chemical characterization of marine Black Carbon

MERIS, A-MODIS, SeaWiFS, AATSR and PARASOL over the Salar de Uyuni March 2006 MAVT 2006 Marc Bouvet, ESA/ESTEC

Monday, Oct. 2: Clear-sky radiation; solar attenuation, Thermal. nomenclature

Antonio Aguirre Jr. Office of Science, Faculty and Student Team Internship Program. New York City College of Technology, Brooklyn

Verification of Sciamachy s Reflectance over the Sahara J.R. Acarreta and P. Stammes

Radiation in the atmosphere

Innovative New Canister-type Auto Balloon Launcher aiming for Uninterrupted Observations Kensaku Shimizu, Ryota Maeda, and Norio Nagahama

Monique Teich et al. Correspondence to: Hartmut Herrmann

Intercomparison of Mobility Particle Size Spectrometers

2.01 INFRARED ANALYZER

Coordinating and Integrating UV Observations in Svalbard

Infrared Temperature Calibration 101 Using the right tool means better work and more productivity

Experimental and Theoretical Studies of Ice-Albedo Feedback Processes in the Arctic Basin

Audit Report. Group photo taken during the audit day July 4, Pha Din Station. General Conclusion:

Bias correction of satellite data at the Met Office

INSITU project within AeroCom Phase III: Description and Model Output Request

GMES: calibration of remote sensing datasets

Data Quality and Post Processing

- matter-energy interactions. - global radiation balance. Further Reading: Chapter 04 of the text book. Outline. - shortwave radiation balance

Site audit report Birkenes, Norway

Section 22. Radiative Transfer

Comparison of Results Between the Miniature FASat-Bravo Ozone Mapping Detector (OMAD) and NASA s Total Ozone Mapping Spectrometer (TOMS)

The Sun-Climate Connection What have we learned during this solar minimum? Robert.F.Cahalan

For Journal of Geophysical Research - Atmospheres. Index Terms: aerosols and particles (0305), aerosols (4801),

A case study of observations of volcanic ash from the Eyjafjallajökull eruption: 1. In situ airborne observations

An Introduction to Ultraviolet-Visible Molecular Spectrometry (Chapter 13)

Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies

Supplement of Cloud and aerosol classification for 2.5 years of MAX-DOAS observations in Wuxi (China) and comparison to independent data sets

Characterization of dimers of soot and non-soot

In-flight Calibration Techniques Using Natural Targets. CNES Activities on Calibration of Space Sensors

Lab #13: Polarization

WCCAP Report Absorption Photometer Workshop 2007

ABB temperature measurement Radiation thermometry. Measurement made easy. Process temperature measurement practice--non-contacting

Section 10. Radiative Transfer

ATOC 3500/CHEM 3152 Week 9, March 8, 2016

Supplement of A multi-year study of lower tropospheric aerosol variability and systematic relationships from four North American regions

Energy and the Earth AOSC 200 Tim Canty

Determination of aerosol optical depth using a Micro Total Ozone Spectrometer II. (MICROTOPS II) sun-photometer

Detection of HONO using Incoherent Broadband Cavity-Enhanced Absorption Spectroscopy (IBBCEAS)

Aircraft and satellite hyperspectral measurements investigating the radiative impact of atmospheric water vapour

11/24/2003. Size-Distributions and Mixtures of Dust and Black Carbon Aerosol in Asian Outflow: Physio-chemistry and Optical Properties

Lecture 26. Regional radiative effects due to anthropogenic aerosols. Part 2. Haze and visibility.

Ultraviolet-Visible and Infrared Spectrophotometry

Supplementary Table 1. Geometry and flow rate of the individual components of the aerosol sampling system used in the A-FORCE 2013W campaign.

Aerosol Radiative Forcing DEPARTMENT OF PHYSICS The AeroCom Prescribed Experiment: Towards the Quantification of Host Model Errors

Supplement of Multi-wavelength optical measurement to enhance thermal/optical analysis for carbonaceous aerosol

Remote sensing with FAAM to evaluate model performance

Lecture 31. Constituent Lidar (3)

Phys 100 Astronomy (Dr. Ilias Fernini) Review Questions for Chapter 5

Atmospheric Radiation

Stratospheric aerosol profile retrieval from SCIAMACHY limb observations

Ocean Optics XIV Conference, Kona, Hawaii 1998

The mean physical and optical properties of regional haze dominated by biomass burning aerosol measured from the C-130 aircraft during SAFARI 2000

Answer to Referee #2. MAJOR COMMENTS: (1) What SORCE are we talking about?

1901 Application of Spectrophotometry

Lambert s law. Beer s law. di x / I x = -kdx (-di x = k I x dx) = - a c dx. I/I 0 = e -kl T = A = - log (T) = - log (I/I 0 )

Ultraviolet-Visible and Infrared Spectrophotometry

AATSR atmospheric correction

Atmospheric clear-sky Radiative Transfer model intercomparison at mm/submm wavelengths

Compact Knowledge: Absorbance Spectrophotometry. Flexible. Reliable. Personal.

Interactive comment on A new method for nocturnal aerosol measurements with a lunar photometer prototype by A. Barreto et al.

No turning round: abusing µct as an X-ray transmission microscope

Optical properties of atmospheric constituents

Investigations on real-scale experiments for the measurement of the ISO scattering coefficient in the reverberation room

Changes in Earth s Albedo Measured by satellite

OPTICAL PARTICLE SIZER MASS CALIBRATION METHOD

Update on IMPROVE Light Extinction Equation and Natural Conditions Estimates. Tom Moore, WRAP Technical Coordinator. May 23, 2006

Indices of Refraction of Absorptive Aerosol Their Importance and Complexity

SIZE-SELECTED AEROSOL FILTER ANALYSIS USING ELECTROSTATIC CLASSIFICATION AND LIBS

Instrument Inter- Comparison Report

Education case study. UK Snow November to December Meteorological situation

HARP Assessment of Uncertainty

TESTS. GRASP sensitivity. Observation Conditions. Retrieval assumptions ISTINA-WP AERO. MODELS. B. Torres, O. Dubovik and D.

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 111, D05S06, doi: /2005jd005863, 2006

2. Illustration of Atmospheric Greenhouse Effect with Simple Models

Transcription:

Observations Based Research corrections OBR Technical Note No. 80 19 th August 2010 Kate Turnbull _OBR_TN80_v1_0-1 rown copyright 2008 Amendment to MRF Technical Note No. 31

ontents 1. Introduction...2 2. The requirement for corrections...2 2.1 Flow rate correction...3 2.2 Spot size correction...3 3. Summary of corrections...4 4. omparing the new and old corrections...5 5. References...6 rown copyright 2010 1

1. Introduction A Particle Soot Absorption Photometer () designed by Radiance Research is flown as part of the core aerosol cability on the FAAM research aircraft. The instrument measures the aerosol absorption coefficient at a single wavelength (λ=567nm). By combining the data with scattering data from the nephelometer, the single scattering albedo can be derived. This is an important optical property of atmospheric aerosols used in radiative transfer calculations. MRF Technical note 31 describes correction factors based on work by Bond et al. (1999) (hereafter B1999) that should be plied to the uncorrected data contained in the FAAM core NetDF. The publication of a comment by Ogren (2010) clarifying the original work in B1999 caused the correction algorithms to be revisited and errors to be uncovered. This note details corrections that should be plied to all data gathered by FAAM, both past and future. In the hope of minimising confusion, the only references to corrections derived in Tech Note 31 are included in section 4 which examines how this updated correction compares with earlier work. 2. The requirement for corrections operation is based on the measurement of a change in light transmission of a 567nm LED through a quartz-fibre filter as particles are deposited on it. The theoretical absorption coefficient at 567nm wavelength, 567 is given by: A I = ln (1) V I 567 0 where A is the area of the spot caused by the aerosol on the filter, V is the volume of air drawn through the filter during a given time period and I 0 and I are the average filter transmittances at the start and end of this time period, respectively. The reported absorption coefficient,, is related to 567 by an empirical calibration plied internally by the instrument to account for the magnification of absorption by the filter medium and non-linearities in the response of the unit as the filter becomes loaded. From equation (1), Bond et al. (1999) deduce that errors in data arise from 1) Inaccurate assumptions about spot size, hence A. 2) Inaccurate assumptions about flow rate, hence V. 3) Multiple opportunities for the particle to absorb light. 4) Reduction in transmission owing to particulate light scattering. rown copyright 2010 2

Data can be usted,,for these effects using = (2) where is a flow-rate correction and corrects the spot-size assumption. B1999 assumes that the usted instrumental response is a linear function of both the absorption coefficient,, and the scattering coefficient, sp, such that K1 sp + K 2 = (3) For an ideal measurement, scattering particles have no effect and there is 100% efficiency in sampling absorption; K 1 = 0 and K 2 = 1. 2.1 Flow rate correction B1999 found that the sample flow rate measured internally by the can be in error by as much as 20% and varies between instruments. The flow rate should be measured directly using e.g. an electronic bubble flow meter to derive the flow correction factor, Q = (4) QTRUE where Q is the air flow rate measured internally by and Q TRUE is measured directly. Essentially, this is a re-calibration of the internal flow meter. Haywood and Osborne (2000) reported a systemic under-estimation of the actual flow resulting in = 0.84 ± 0.02. The calibration was repeated by FAAM staff (Jamie Trembath) in October 2006 giving = 0.909. It is recommended that should be measured annually and that data-users ensure they use the most recent calibration. 2.2 Spot size correction The manufacturer s calibration of assumes a spot area (A ) of 17.83mm 2, equivalent to a circular spot diameter of 4.765mm. This is the diameter of the hole in the filter holder, which is smaller than the exposed filter area owing to the use of O-rings in the filter holder to provide an airtight seal. A is used internally by the instrument in its derivation of. B1999 observed some variation in spot size among instruments and recommend that the actual spot area (A TRUE ) for each instrument should be measured and used to correct the spot area of the manufacturer s reference instrument (A REF ). rown copyright 2010 3

A TRUE = (5) AREF However, Ogren (2010) notes that the spot size correction should in fact compare the actual spot area A TRUE for the instrument with the spot area assumed by in its internal calculations, A, rather than comparing it to the reference instrument. Thus, the spot size correction factor should really be and = A A TRUE where the asterisk denotes the modified definition. (6) = (7) The calibrations in B1999 use the definition of in equation 4 to relate the usted absorption coefficient to the actual absorption coefficient (at 550nm) and derive K 1 and K 2. Thus, in order to be able to use the corrected definition in equation 5 while using the calibration constants derived in B1999, must be related to the usted absorption coefficient from the original per using equation 5 of Ogren s work. A = A REF A = 0.873 A TRUE This introduces an additional factor of 0.873 since A REF = 20.43mm 2 and A = 17.83mm 2 (B1999). For the operated by FAAM, the diameter of the spot was found to be 5.19mm (Haywood and Osborne, 2000), equivalent to an area A TRUE = 21.16mm 2. This results in = 1.186, in contrast to = 1.035 using the B1999 technique. It is recommended that A TRUE should be measured annually and that data-users ensure they use the most recent calibration. (8) 3. Summary of corrections By reference to equations 3 and 8, the correction that should be plied to the FAAM is given in equation 9 0. 873 550 550 K1 sp = (9) K 2 rown copyright 2010 4

where K 1 and K 2 are defined by extensive calibration tests in B1999 and values plicable to the FAAM can be found in table 1. 1.186 (Oct 09) 0.909 K 1 0.02 ± 0.02 K 2 1.22 ± 0.20 1.035 Table 1: onstants as plicable to FAAM at time of writing Ogren (2010) observes that, by virtue of the reference absorption being evaluated at 550nm in their tests, these values of K 1 and K 2 implicitly include a wavelength ustment and result in an estimate of absorption at 550nm, 550. Since TSI 3563 scattering measurements used in the tests were NOT corrected for angular nonidealities, the corrections described by Anderson and Ogren (1998) must not be plied to 550nm nephelometer data when correcting data. 4. omparing the new and old corrections The calculation for provided in Tech Note 31 is = (10) Haywood and Osborne (2000) recognised that the true spot size should be compared with the spot size assumed internally by rather than the manufacturer s reference instrument. However, the inverse of the fraction was used and the need for the additional factor of 0.873 required to use the B1999 calibration coefficients was over-looked. Using the values from table 1 in equations 8 and 10 reveals that this amounts to a 19% underestimation in. If the reader has been using the Tech Note 31 value of 0.84 for, a 25% under-estimation in would result. There are further differences between the value of as calculated using Tech Note 31 shown in equation 11, rown copyright 2010 5

567 = K 2 K and the calculation described in this document that data users should use (equation 9). In converting scattering data to 567nm before using it to correct, an error is introduced which is compounded if the scattering data is also corrected for angular non-idealities first. Another source of error arises if is usted to 550nm for use in e.g. the derivation of the single scattering albedo, since the output from the 1 567 sp corrections in B1999 is already the absorption coefficient at 550nm. For flights during the EM25 project in June 2009, particle absorption corrected using Tech Note 31 would be systematically under-estimated by proximately 30% if equation 11 were used rather than the updated correction described in this document (equation 9). (11) 5. Acknowledgements Thanks to Ellie Highwood and Gavin McMeeking for their help in sorting this out! 6. References Anderson, T.L. and Ogren, J.A., 1998: Determining aerosol radiative properties using the TSI 3563 integrating nephelometer. Aerosol Sci. and Technol., 29, 57-69. Bond, T.., Anderson, T.L. and ampbell, D., 1999: alibration and inter-comparison of filter-based measurements of visible light absorption by aerosols. Aerosol Sci. and Technol., 30, 582-600. Haywood, J.M. and Osborne, S.R., 2000: orrections to be plied to the and nephelometer for determination of the absorption coefficient, scattering coefficient and single scattering albedo. MRF Technical Note No. 31. Ogren, J.A., 2010: omment on alibration and Intercomparison of filter-based measurements of visible light absorption by aerosols. Aerosol Sci. and Technol., 44, 589-591. rown copyright 2010 6

Met Office FitzRoy Road, Exeter Devon EX1 3PB United Kingdom Tel: 0870 900 0100 Fax: 0870 900 5050 enquiries@metoffice.gov.uk www.metoffice.gov.uk