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Dive into the research topics where Jeffry Rothermel is active.

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Featured researches published by Jeffry Rothermel.


Bulletin of the American Meteorological Society | 1998

The Multi-center Airborne Coherent Atmospheric Wind Sensor

Jeffry Rothermel; D. R. Cutten; R. Michael Hardesty; Robert T. Menzies; James N. Howell; Steven C. Johnson; David M. Tratt; Lisa D. Olivier; Robert M. Banta

Abstract In 1992 the atmospheric lidar remote sensing groups of the National Aeronautics and Space Administration Marshall Space Flight Center, the National Oceanic and Atmospheric Administration/Environmental Technology Laboratory (NOAA/ETL), and the Jet Propulsion Laboratory began a joint collaboration to develop an airborne high-energy Doppler laser radar (lidar) system for atmospheric research and satellite validation and simulation studies. The result is the Multi-center Airborne Coherent Atmospheric Wind Sensor (MACAWS), which has the capability to remotely sense the distribution of wind and absolute aerosol backscatter in three-dimensional volumes in the troposphere and lower stratosphere. A factor critical to the programmatic feasibility and technical success of this collaboration has been the utilization of existing components and expertise that were developed for previous atmospheric research by the respective institutions. For example, the laser transmitter is that of the mobile ground-based Do...


Applied Optics | 1996

Signal Processing and Calibration of Continuous-Wave Focused CO2 Doppler Lidars for Atmospheric Backscatter Measurement

Jeffry Rothermel; Diana M. Chambers; Maurice A. Jarzembski; Vandana Srivastava; David A. Bowdle; William D. Jones

Two continuous-wave (CW) focused CO(2) Doppler lidars (9.1 and 10.6 µm) were developed for airborne in situ aerosol backscatter measurements. The complex path of reliably calibrating these systems, with different signal processors, for accurate derivation of atmospheric backscatter coefficients is documented. Lidar calibration for absolute backscatter measurement for both lidars is based on range response over the lidar sample volume, not solely at focus. Both lidars were calibrated with a new technique using well-characterized aerosols as radiometric standard targets and related to conventional hard-target calibration. A digital signal processor (DSP), a surface acoustic wave spectrum analyzer, and manually tuned spectrum analyzer signal analyzers were used. The DSP signals were analyzed with an innovative method of correcting for systematic noise fluctuation; the noise statistics exhibit the chi-square distribution predicted by theory. System parametric studies and detailed calibration improved the accuracy of conversion from the measured signal-to-noise ratio to absolute backscatter. The minimum backscatter sensitivity is ~3 × 10(-12) m(-1) sr(-1) at 9.1 µm and ~9 × 10(-12) m(-1) sr(-1) at 10.6 µm. Sample measurements are shown for a flight over the remote Pacific Ocean in 1990 as part of the NASA Global Backscatter Experiment (GLOBE) survey missions, the first time to our knowledge that 9.1-10.6-µm lidar intercomparisons were made. Measurements at 9.1 µm, a potential wavelength for space-based lidar remote-sensing applications, are to our knowledge the first based on the rare isotope (12)C (18)O(2) gas.


Journal of Geophysical Research | 1996

Multiwavelength comparison of modeled and measured remote tropospheric aerosol backscatter over Pacific Ocean

D. R. Cutten; R. F. Pueschel; David A. Bowdle; Vandana Srivastava; Antony D. Clarke; Jeffry Rothermel; James D. Spinhirne; Robert T. Menzies

Aerosol concentrations and size distributions in the middle and upper troposphere over the remote Pacific Ocean were measured with a forward scattering spectrometer probe (FSSP) on the NASA DC-8 aircraft during NASAs Global Backscatter Experiment (GLOBE) in May–June 1990. The FSSP size channels were recalibrated based on refractive index estimates from flight-level aerosol volatility measurements with a collocated laser optical particle counter (LOPC). The recalibrated FSSP size distributions were averaged over 100-s intervals, fitted with lognormal distributions and used to calculate aerosol backscatter coefficients at selected wavelengths. The FSSP-derived backscatter estimates were averaged over 300-s intervals to reduce large random fluctuations. The smoothed FSSP aerosol backscatter coefficients were then compared with LOPC-derived backscatter values and with backscatter measured at or near flight level from four lidar systems operating at 0.53, 1.06, 9.11, 9.25, and 10.59 μm. Agreement between FSSP-derived and lidar-measured backscatter was generally best at flight level in homogeneous aerosol fields and at high backscatter values. FSSP data often underestimated low backscatter values especially at the longer wavelengths due to poor counting statistics for larger particles (>0.8 μm diameter) that usually dominate aerosol backscatter at these wavelengths. FSSP data also underestimated backscatter at shorter wavelengths when particles smaller than the FSSP lower cutoff diameter (0.35 μm) made significant contributions to the total backscatter.


Applied Optics | 2001

Wavelength dependence of backscatter by use of aerosol microphysics and lidar data sets: application to 2.1-µm wavelength for space-based and airborne lidars

Vandana Srivastava; Jeffry Rothermel; Antony D. Clarke; James D. Spinhirne; Robert T. Menzies; Dean R. Cutten; Maurice A. Jarzembski; David A. Bowdle; Eugene W. McCaul

An aerosol microphysics dataset was used to model backscatter in the 0.35-11-mum wavelength range, with the results validated by comparison with measured cw and pulsed lidar backscatter obtained during two NASA-sponsored airborne field experiments. Different atmospheric features were encountered, with aerosol backscatter ranging over 4 orders of magnitude. Modeled conversion functions were used to convert existing lidar backscatter datasets to 2.1 mum. Resulting statistical distribution shows the midtropospheric aerosol backscatter background mode of beta(2.1) to be between ~3.0 x 10(-10) and ~1.3 x 10(-9) m(-1) sr(-1), ~10-20 times higher than that for beta(9.1); and a beta(2.1) boundary layer mode of ~1.0 x 10(-7) to ~1.3 x 10(-6) m(-1) sr(-1), ~3-5 times higher than beta(9.1).


Geophysical Research Letters | 1995

High resolution remote sensing of sulfate aerosols from CO2 lidar backscatter

Vandana Srivastava; David A. Bowdle; Maurice A. Jarzembski; Jeffry Rothermel; D. M. Chambers; D. R. Cutten

A high resolution technique for remotely sensing aerosol sulfate composition has been developed, based on the ratio of aerosol backscatter measured at 9.1 and 10.6 µm wavelengths with two continuous wave CO2 lidars. This is demontrated using data from the NASA GLObal Backscatter Experiment (GLOBE) over the Pacific Ocean in 1990. Results indicate changes from sulfuric acid with some ammoniation in clean conditions and presence of dust with ammoniated sulfates in continental plumes. Lidars provide good estimates of backscatter ratio with ∼5 second sample times (∼1 km spatial resolution) in aerosol concentrations as low as ∼10−2 µg/m³.


Applied Optics | 1989

Spectral analysis, digital integration, and measurement of low backscatter in coherent laser radar

J. M. Vaughan; R. D. Callan; D. A. Bowdle; Jeffry Rothermel

The operation of a surface acoustic wave spectrum analyser and digital integrator is reviewed. Expressions are derived for signal to noise ratio in the measured voltage spectrum with an approximation for the general case and rigorous treatment for the low signal case. A previous calibration study is re-evaluated to provide a final calibration for the atmospheric backscatter data accumulated by the airborne LATAS (laser true airspeed) coherent laser radar system.


Geophysical Research Letters | 1996

Mid‐tropospheric aerosol backscatter background mode over the Pacific Ocean at 9.1 µm wavelength

Jeffry Rothermel; David A. Bowdle; Vandana Srivastava

The first atmospheric aerosol backscatter measurements at the rare isotope CO2 wavelength of 9.1 µm were obtained in the troposphere over the Pacific Ocean in May–June 1990. A distinct aerosol backscatter background mode was found in both hemispheres with modal value ∼10−10 m²kg−1sr−1 (backscatter normalized by air density), remarkably consistent with ground-based and airborne backscatter climatologies collected at other wavelengths, locations, and times.


Optics Express | 1998

Remote sensing of multi-level wind fields with high-energy airborne scanning coherent Doppler lidar

Jeffry Rothermel; Lisa D. Olivier; Robert M. Banta; R. Michael Hardesty; James N. Howell; D. R. Cutten; Steven C. Johnson; Robert T. Menzies; David M. Tratt

The atmospheric lidar remote sensing groups of NOAA Environmental Technology Laboratory, NASA Marshall Space Flight Center, and Jet Propulsion Laboratory have developed and flown a scanning, 1 Joule per pulse, CO2 coherent Doppler lidar capable of mapping a three-dimensional volume of atmospheric winds and aerosol backscatter in the planetary boundary layer, free troposphere, and lower stratosphere. Applications include the study of severe and non-severe atmospheric flows, intercomparisons with other sensors, and the simulation of prospective satellite Doppler lidar wind profilers. Examples of wind measurements are given for the marine boundary layer and near the coastline of the western United States.


Journal of Geophysical Research | 1997

Comparison of modeled backscatter using measured aerosol microphysics with focused CW lidar data over Pacific

Vandana Srivastava; Antony D. Clarke; Maurice A. Jarzembski; Jeffry Rothermel

During NASAs GLObal Backscatter Experiment (GLOBE) II flight mission over the Pacific Ocean in May-June 1990, extensive aerosol backscatter data sets from two continuous wave, focused CO2 Doppler lidars and an aerosol microphysics data set from a laser optical particle counter (LOPC) were obtained. Changes in aerosol loading in various air masses with associated changes in chemical composition, from sulfuric acid and sulfates to dustlike crustal material, significantly affected aerosol backscatter, causing variation of about 3 to 4 orders of magnitude. Some of the significant backscatter features encountered in different air masses were the low backscatter in subtropical air with even lower values in the tropics near the Intertropical Convergence Zone (ITCZ), highly variable backscatter in the ITCZ, mid-tropospheric aerosol backscatter background mode, and high backscatter in an Asian dust plume off the Japanese coast. Differences in aerosol composition and backscatter for northern and southern hemisphere also were observed. Using the LOPC measurements of physical and chemical aerosol properties, we determined the complex refractive index from three different aerosol mixture models to calculate backscatter. These values provided a well-defined envelope of modeled backscatter for various atmospheric conditions, giving good agreement with the lidar data over a horizontal sampling of ∼18,000 km in the mid-troposphere.


Journal of Geophysical Research | 1991

Aerosol backscatter measurements at 10.6 micrometers with airborne and ground-based CO2Doppler lidars over the Colorado High Plains: 1. Lidar intercomparison

David A. Bowdle; Jeffry Rothermel; J. Michael Vaughan; Derek W. Brown; Madison J. Post

An airborne continuous wave (CW) focused CO2 Doppler lidar and a ground-based pulsed CO2 Doppler lidar were used to obtain seven pairs of comparative measurements of tropospheric aerosol backscatter profiles at 10.6 μm wavelength, near Denver, Colorado, during a 20-day period in July 1982. In regions of uniform backscatter the two lidars show good agreement, with differences usually less than ∼50% near 8-km altitude and less than a factor of 2 or 3 elsewhere but with the pulsed lidar often lower than the CW lidar. Near sharp backscatter gradients the two lidars show poorer agreement, with the pulsed lidar usually higher than the CW lidar. Most discrepancies arise from a combination of atmospheric factors and instrument factors, particularly small-scale areal and temporal backscatter heterogeneity above the planetary boundary layer, unusual large-scale vertical backscatter structure in the upper troposphere and lower stratosphere, and differences in the spatial resolution, detection threshold, and noise estimation for the two lidars.

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Vandana Srivastava

National Center for Atmospheric Research

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David A. Bowdle

University of Alabama in Huntsville

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Robert T. Menzies

California Institute of Technology

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James N. Howell

National Oceanic and Atmospheric Administration

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David M. Tratt

Jet Propulsion Laboratory

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R. Michael Hardesty

Cooperative Institute for Research in Environmental Sciences

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Dean R. Cutten

Defence Science and Technology Organisation

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D. R. Cutten

University of Alabama in Huntsville

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Steven C. Johnson

Marshall Space Flight Center

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