Dr. Jonathan P. Taylor Profile

Dr. Jonathan P. Taylor

Manager Atmospheric Radiation Research at Met Office

SPIE Involvement:

Author

Proceedings Article | 15 May 2012 Paper

Atmospheric correction of short-wave hyperspectral imagery using a fast, full-scattering 1DVar retrieval scheme

J.-C. Thelen, S. Havemann, J. Taylor

Proceedings Volume 8390, 839010 (2012) https://doi.org/10.1117/12.918012

KEYWORDS: Reflectivity, Aerosols, Atmospheric particles, Hyperspectral imaging, Atmospheric corrections, Scattering, Humidity, Ozone, Rayleigh scattering, Atmospheric modeling

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Proceedings Article | 13 October 2008 Paper

Cloud and thermodynamic parameters retrieved from satellite ultraspectral infrared measurements

Daniel Zhou, William Smith, Allen Larar, Xu Liu, Jonathan Taylor, Peter Schlüssel, L. Larrabee Strow, Stephen Mango

Proceedings Volume 7107, 71070N (2008) https://doi.org/10.1117/12.800327

KEYWORDS: Clouds, Satellites, Infrared radiation, Temperature metrology, Skin, Fourier transforms, Thermodynamics, Algorithm development, Humidity, Radiative transfer

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Proceedings Article | 12 October 2006 Paper

AIRS retrieval validation during the EAQUATE

Daniel Zhou, William Smith, Vincenzo Cuomo, Jonathan Taylor, Christopher Barnet, Paolo Di Girolamo, Gelsomina Pappalardo, Allen Larar, Xu Liu, Stuart Newman, Clare Lee, Stephen Mango

Proceedings Volume 6362, 636224 (2006) https://doi.org/10.1117/12.689024

KEYWORDS: Satellites, LIDAR, Raman spectroscopy, Humidity, Temperature metrology, Clouds, Skin, Resolution enhancement technologies, Infrared radiation, Thermodynamics

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Proceedings Article | 31 January 2002 Paper

Cloud detection scheme for numerical weather prediction assimilation of IASI data

Jonathan Smith, Jonathan Taylor

Proceedings Volume 4539, (2002) https://doi.org/10.1117/12.454454

KEYWORDS: Clouds, Data modeling, Computer programming, Infrared radiation, Atmospheric modeling, Calibration, Shortwaves, Aerosols, Atmospheric sensing, Interferometers

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Proceedings Article | 8 December 1999 Paper

Cloud detection from infrared spectral signatures measured by ARIES

Jonathan Smith, Jonathan Taylor

Proceedings Volume 3867, (1999) https://doi.org/10.1117/12.373079

KEYWORDS: Clouds, Infrared radiation, Infrared signatures, Interferometers, Particles, Humidity, Temperature metrology, Data modeling, Detection and tracking algorithms, Infrared detectors

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Proceedings Article | 1 January 1997 Paper

Validation of ATSR-2 visible channel reflectances and cloud parameter retrievals using Meteorological Office Research Flight SATE 2 data

Philip Watts, P. Francis, M. Glew, P. Hignett, Jonathan Taylor, B. Hawden

Proceedings Volume 3220, (1997) https://doi.org/10.1117/12.301165

KEYWORDS: Clouds, Satellites, Reflectivity, Meteorology, Calibration, Remote sensing, Radio optics, Optical filters, Radiometry, Liquids

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Near coincident data from satellite and aircraft overpasses of stratocumulus in the South Atlantic have been analyzed. The satellite data are from the Along Track Scanning Radiometer-2 (ATSR-2) onboard the European Remote Sensing satellite-2 (ERS- 2) and are measurements of reflectance at wavelengths of 0.87 micrometer and 1.6 micrometer. From these, retrieval algorithms estimate the cloud optical depth and effective drop size using well established principles. The aircraft data consist of reflectance measurements made using the Scanning Airborne Filter Radiometer (SAFIRE) from a transit made just above the cloud, and liquid water content (LWC) and effective drop size measurement made using an FSSP probe from a transit made approximately 100 m below cloud top. The aircraft flights were made as part of the South Atlantic Tropical Experiment-2 which took place off the Namibian coast in October 1995 and which was designed to coincide with ERS-2 overpasses where possible. One particular flight, A423, has been studied here as offering the best chance of intercomparison of the respective systems measurements. Two flight legs have been analyzed, one for validation of reflectance measurements and one for validation of cloud effective radius. Poor correlation in initial comparisons based on the geolocation of the two instruments was improved greatly by allowing for, and estimating, the advection of the cloud deck by the local wind. Other adjustments included compensating a small error in the ATSR geolocation and allowing for differences in the respective instrument view angles. Following these adjustments, good agreement is shown for the 11 micrometer brightness temperatures and for the 0.87 micrometer reflectances. Large biases in the 1.6 micrometer reflectances confirm calibration errors that were already suspected for both instruments. Using the same wind advection the cloud effective radius retrievals were compared for the previous flight leg. Agreement is shown to be within 0.5 micrometer for measurements within 5 minutes of the exact collocation time. This is a remarkable result considering the sensitivity of the ATSR retrievals to 1.6 micrometer calibration errors.

Showing 5 of 6 publications

Conference Committee Involvement (1)

Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications

13 November 2006 | Goa, India

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