Dr. Sergio G. De Souza-Machado Profile

Dr. Sergio G. De Souza-Machado

at Univ of Maryland/Baltimore County

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Author

Publications (11)

Proceedings Article | 8 December 2006 Paper

Version 5 product improvements from the atmospheric infrared sounder (AIRS)

Thomas Pagano, Hartmut Aumann, Moustafa Chahine, Evan Manning, Steve Friedman, Steven Broberg, Stephen Licata, Denis Elliott, Fredrick Irion, Brian Kahn, Evan Fishbein, Edward Olsen, Stephanie Granger, Joel Susskind, Fricky Keita, John Blaisdell, Larrabee Strow, Sergio DeSouza-Machado, Chris Barnet

Proceedings Volume 6408, 640808 (2006) https://doi.org/10.1117/12.696561

KEYWORDS: Clouds, Infrared radiation, Ozone, Carbon monoxide, Yield improvement, Microwave radiation, Climatology, Error analysis, Methane, Calibration

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Proceedings Article | 11 October 2006 Paper

Global measurements and modeling of 4.3 um NLTE using AIRS

S. De Souza-Machado, L. Strow, S. Hannon, M. Lopez-Puertas, B. Funke, D. Edwards

Proceedings Volume 6362, 63620N (2006) https://doi.org/10.1117/12.690076

KEYWORDS: Solids, Carbon dioxide, Instrument modeling, Radiative transfer, Solar radiation models, Atmospheric modeling, Clouds, Atmospheric physics, Molecules, Thermodynamics

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Proceedings Article | 1 September 2006 Paper

AIRS observations of deep convective clouds

Hartmut Aumann, David Gregorich, Sergio De Souza-Machado

Proceedings Volume 6301, 63010J (2006) https://doi.org/10.1117/12.681201

KEYWORDS: Calibration, Clouds, Climatology, Ozone, Climate change, Methane, Particles, Space operations, Atmospheric particles, Stratosphere

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Large thunderstorms can be identified in the AIRS data as areas where the brightness temperature of the 1231 cm-1 atmospheric window channel in non-polar areas is less than 210 K. Each day about 6000 large thunderstorms are identified by this test, almost exclusively within 30 degrees of the equator. Since the size of the AIRS footprint at nadir is 13.5 km, a brightness temperature of less than 210 K indicates that the top of the anvil of the thunderstorm protrudes well into the tropopause. Such objects are commonly referred to as Deep Convective Clouds (DCC). Our interest in DCC was motivated by the question "Are severe weather events increasing due to global warming". Each DCC is a severe weather event, although not on the scale of the much less frequent hurricanes, which can be identified in the AIRS data as clusters of several hundred DCC. For the past four years the number of DCC per day has been fairly stable for all tropical oceans combined, but a significant increase can be seen day and night in the Atlantic Ocean. This increase may be related to the slowing of the Atlantic meridional overturning circulation. The most prominent features in brightness temperature spectra of DCC are due to stratospheric CO2, Ozone and Methane. In the channels with weighting functions below the stratosphere the brightness temperature is typically 205 K, with a characteristic 1 to 2.5 K drop between 1000 and 750 cm-1, equivalent to a 2-4 % drop in emissivity. This is likely due to the presence of cirrus (ice) particles. Firmer conclusions about the significance of the DCC count require a considerably longer data set than the currently available four years from AIRS. We plan to continue this analysis with AIRS data. Extension of the analysis to past operational sounders in polar orbit requires independent validation of the stability and absolute accuracy of the radiometric calibration at 210 K. AIRS is an imaging hyperspectral grating-array spectrometer on the EOS Aqua spacecraft, launched on May 4, 2002.

Proceedings Article | 1 September 2006 Paper

Estimation of dust loading and height using MODIS, AIRS, and M-AERI data

S. De Souza-Machado, D. Chu, N. Nalli, L. Strow, S. Hannon, H. Motteler, P. Minnett

Proceedings Volume 6299, 62990D (2006) https://doi.org/10.1117/12.682589

KEYWORDS: MODIS, Particles, Fourier transforms, Thermography, Data analysis, Barium, Information technology, Remote sensing, Aerosols, Gases

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Proceedings Article | 29 August 2005 Paper

Routine detection and mitigation of dust with AIRS

S. De Souza-Machado, L. Larrabee Strow, S. Hannon, H. Motteler

Proceedings Volume 5890, 58900A (2005) https://doi.org/10.1117/12.619548

KEYWORDS: Clouds, Infrared radiation, Ocean optics, Scattering, Thermography, Water, Radiative transfer, Climatology, Atmospheric optics, Algorithm development

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Proceedings Article | 16 February 2004 Paper

Measurements of cirrus cloud parameters using AIRS

Sergio De Souza-Machado, L. Larrabee Strow, Scott Hannon, Ji Gou

Proceedings Volume 5235, (2004) https://doi.org/10.1117/12.514058

KEYWORDS: Clouds, Particles, Scattering, Atmospheric modeling, Optical spheres, Atmospheric particles, LIDAR, Radiative transfer, Climatology, Crystals

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Proceedings Article | 16 February 2004 Paper

Global measurements of 4.3-µm NLTE using AIRS

Sergio De Souza-Machado, Larrabee Strow, David Edwards

Proceedings Volume 5235, (2004) https://doi.org/10.1117/12.514060

KEYWORDS: Atmospheric optics, Radiative transfer, Carbon monoxide, Atmospheric modeling, Temperature metrology, Databases, Solids, Instrument modeling, Thermodynamics, Sun

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Proceedings Article | 18 April 2003 Paper

Validation of the AIRS radiative transfer algorithm using ECMWF datafields

L. Larrabee Strow, Scott Hannon, Sergio De Sousa-Machado, Howard Motteler

Proceedings Volume 4882, (2003) https://doi.org/10.1117/12.463019

KEYWORDS: Carbon monoxide, Data modeling, Radiative transfer, Spectroscopy, Atmospheric modeling, Calibration, Clouds, Zoom lenses, Ozone, Algorithm development

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Proceedings Article | 9 April 2003 Paper

Radiative transfer observations with AIRS

Sergio DeSousa-Machado, L. Larrabee Strow, Scott Hannon, Howard Motteler

Proceedings Volume 4891, (2003) https://doi.org/10.1117/12.467319

KEYWORDS: Atmospheric modeling, Data modeling, Radiative transfer, Spectroscopy, Temperature metrology, Carbon monoxide, Clouds, Error analysis, Thermodynamics, Humidity

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Proceedings Article | 8 December 1999 Paper

Improved atmospheric radiance calculations using CO2 P/R-branch line mixing

S. De Souza-Machado, L. Larrabee Strow, David Tobin, Scott Hannon

Proceedings Volume 3867, (1999) https://doi.org/10.1117/12.373071

KEYWORDS: Data modeling, Carbon dioxide, Atmospheric modeling, Absorption, Spectroscopy, Molecules, Solids, Temperature metrology, Satellites, Radiative transfer

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Proceedings Article | 1 January 1997 Paper

kCompressed atmospheric radiative transfer algorithm (kCARTA)

Sergio DeSouza-Machado, L. Larrabee Strow, Scott Hannon

Proceedings Volume 3220, (1997) https://doi.org/10.1117/12.301147

KEYWORDS: Radiative transfer, Algorithm development, Earth's atmosphere, Databases, Atmospheric modeling, Atmospheric sensing, Absorption, Transmittance, Data modeling, Thermal modeling

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Showing 5 of 11 publications

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