M. Segal-Rosenheimer
Ames Research Center
Hyperspectral imagingAerosolOptical depthRemote sensingAtmospheric sciences
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Publications 18
#1Samuel LeBlancH-Index: 3
#2Jens RedemannH-Index: 9
Last. Sabrina CochraneH-Index: 2
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Aerosol overlying clouds increase uncertainty of standard remotely sensed properties. We present results of a hyperspectral-based retrieval technique to obtain cloud properties, and its calculated radiative effect, from cloud-transmitted light.
#1S.P. Broccardo (ARC: Ames Research Center)
#2Samuel LeBlanc (ARC: Ames Research Center)H-Index: 3
Last. Jens Redemann (OU: University of Oklahoma)H-Index: 9
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To realize the potential of spectrometers for airborne sunphotometry, a hybrid instrument incorporating radiometers and miniature spectrometers is being built. This brings with it several challenges in amplifier design, thermal management and stray-light control.
#1Alexander Smirnov (GSFC: Goddard Space Flight Center)H-Index: 55
#2T. B. Zhuravleva (RAS: Russian Academy of Sciences)H-Index: 7
Last. Brent N. Holben (GSFC: Goddard Space Flight Center)H-Index: 95
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Abstract The paper discusses certain limitations on applicability of Spectral Deconvolution Algorithm (SDA) to aerosol optical depth spectral measurements contaminated by cirrus clouds. Analysis of the synthetic data demonstrates that application of SDA to cloud contaminated measurements can produce significant errors in the apparent optical depth fine mode retrievals. Such application can produce results that just look reasonable and physically admissible but in fact can be relatively far from ...
4 CitationsSource
#1Ohad Zivan (Technion – Israel Institute of Technology)H-Index: 3
#2M. Segal-Rosenheimer (ARC: Ames Research Center)H-Index: 10
Last. Yael Dubowski (Technion – Israel Institute of Technology)H-Index: 18
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Abstract Pesticide application is a short-term air-pollution episode with near and far field effects due to atmospheric drift. In order to better evaluate resulting air concentrations in nearby communities following pesticide application, measurements of airborne pesticides were conducted at ∼70 m from field edge. This was done following three different application events of the organophosphate pesticide Chlorpyrifos in a persimmon orchard. Complementary information on larger spatial scale was o...
15 CitationsSource
#1Larry K. Berg (PNNL: Pacific Northwest National Laboratory)H-Index: 22
#2Jerome D. Fast (PNNL: Pacific Northwest National Laboratory)H-Index: 49
Last. Carl M. Berkowitz (PNNL: Pacific Northwest National Laboratory)H-Index: 25
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The Two-Column Aerosol Project (TCAP), conducted from June 2012 through June 2013, was a unique study designed to provide a comprehensive data set that can be used to investigate a number of important climate science questions, including those related to aerosol mixing state and aerosol radiative forcing. The study was designed to sample the atmosphere between and within two atmospheric columns; one fixed near the coast of North America (over Cape Cod, MA) and a second moveable column over the A...
18 CitationsSource
#1Kirk Knobelspiesse (ARC: Ames Research Center)H-Index: 16
#2Brian Cairns (GISS: Goddard Institute for Space Studies)H-Index: 40
Last. Omar Torres (GSFC: Goddard Space Flight Center)H-Index: 44
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The direct and indirect radiative effects of aerosols suspended in the atmosphere above clouds (ACA) are a highly uncertain component of both regional and global climate. Much of this uncertainty is observational in nature most orbital remote sensing algorithms were not designed to simultaneously retrieve aerosol and cloud optical properties in the same vertical column.
1 CitationsSource
#2Connor J. FlynnH-Index: 13
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The AERONET (AErosol RObotic NETwork) ground-based suite of sunphotometers provides measurements of spectral aerosol optical depth (AOD), precipitable water and spectral sky radiance, which can be inverted to retrieve aerosol microphysical properties that are critical to assessments of aerosol-climate interactions. Because of data quality criteria and sampling constraints, there are significant limitations to the temporal and spatial coverage of AERONET data and their representativeness for glob...
#1M. Segal-Rosenheimer (ARC: Ames Research Center)H-Index: 10
#2P. B. Russell (ARC: Ames Research Center)H-Index: 37
Last. Jacqueline Wilson (PNNL: Pacific Northwest National Laboratory)H-Index: 11
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Total columnar water vapor (CWV), nitrogen dioxide (NO2), and ozone (O3) are derived from a newly developed, hyperspectral airborne Sun-sky spectrometer (4STAR) for the first time during the two intensive phases of the Two-Column Aerosol Project (TCAP) in summer 2012 and winter 2013 aboard the DOE G-1 aircraft. We compare results with coincident measurements. We find 0.045 g/cm2 (4.2%) negative bias and 0.28 g/cm2 (26.3%) root-mean-square difference (RMSD) in water vapor layer comparison with an...
11 CitationsSource
#1Yohei ShinozukaH-Index: 25
#2Roy R. JohnsonH-Index: 9
Last. Sharon BurtonH-Index: 18
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In the paper “Hyperspectral aerosol optical depths from TCAP flights” by Y. Shinozuka et al. (Journal of Geophysical Research: Atmospheres, 118, doi:10.1002/2013JD020596, 2013), Tables 1 and 2 were published with the column heads out of order. Tables 1 and 2 are published correctly here. The publisher regrets the error.
2 CitationsSource
#1Yohei ShinozukaH-Index: 25
#2Roy R. Johnson (ARC: Ames Research Center)H-Index: 9
Last. Sharon Burton (LaRC: Langley Research Center)H-Index: 18
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[1] The 4STAR (Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research), a hyperspectral airborne Sun photometer, acquired aerosol optical depths (AOD) at 1 Hz during all July 2012 flights of the Two-Column Aerosol Project. Root-mean-square differences from Aerosol Robotic Network ground-based observations were 0.01 at wavelengths between 500–1020 nm, 0.02 at 380 and 1640 nm, and 0.03 at 440 nm in four clear-sky fly-over events, and similar in ground side-by-side comparisons. Changes in...
16 CitationsSource