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Full-Text Articles in Physical Sciences and Mathematics

Usu Rayleigh-Scatter Lidar 2014-2015 Nightly Temperatures, Leda Sox, Vincent B. Wickwar, Tao Yuan Nov 2017

Usu Rayleigh-Scatter Lidar 2014-2015 Nightly Temperatures, Leda Sox, Vincent B. Wickwar, Tao Yuan

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Temperatures from a collocated Rayleigh-scatter lidar (RSL) and sodium resonance lidar were compared night-by-night, at different altitude levels, and hour-by-hour.

Three zipped files are provided.

USU RSL 2014-2015 [O] Corrected Temperatures.zip contains 36 files, one per night and hour, in RSLHourlyTemperaturesYYYYMMDDhour#.txt filename format.

USU RSL 2014-2015 Hourly Temperatures.zip contains 36 files, one per night and hour, in RSLHourlyTemperaturesYYYYMMDDhour#.txt filename format.

USU RSL 2014-2015 Nightly Temperatures.zip contains 19 files, one per night, in RSLTemperaturesYYYYMMDD.txt filename format.


Does Strong Tropospheric Forcing Cause Large-Amplitude Mesospheric Gravity Waves? A Deepwave Case Study, Martina Bramberger, Andreas Dörnbrack, Katrina Bossert, Benedikt Ehard, David C. Fritts, Bernd Kaifler, Christian Mallaun, Andrew Orr, Pierre-Dominique Pautet, Markus Rapp, Michael J. Taylor, Simon Vosper, Bifford P. Williams, Benjamin Witschas Nov 2017

Does Strong Tropospheric Forcing Cause Large-Amplitude Mesospheric Gravity Waves? A Deepwave Case Study, Martina Bramberger, Andreas Dörnbrack, Katrina Bossert, Benedikt Ehard, David C. Fritts, Bernd Kaifler, Christian Mallaun, Andrew Orr, Pierre-Dominique Pautet, Markus Rapp, Michael J. Taylor, Simon Vosper, Bifford P. Williams, Benjamin Witschas

Publications

On 4 July 2014, during the Deep Propagating Gravity Wave Experiment (DEEPWAVE), strong low-level horizontal winds of up to 35 m s−1 over the Southern Alps, New Zealand, caused the excitation of gravity waves having the largest vertical energy fluxes of the whole campaign (38 W m−2). At the same time, large-amplitude mesospheric gravity waves were detected by the Temperature Lidar for Middle Atmospheric Research (TELMA) located at Lauder (45.0°S, 169.7°E), New Zealand. The coincidence of these two events leads to the question of whether the mesospheric gravity waves were generated by the strong tropospheric forcing. To …


Collaborative Research: Synergistic Merging Of Traditional Aeronomy With Targeted High-Frequency (Hf) Heating Diagnostics, Herbert C. Carlson Sep 2017

Collaborative Research: Synergistic Merging Of Traditional Aeronomy With Targeted High-Frequency (Hf) Heating Diagnostics, Herbert C. Carlson

Funded Research Records

No abstract provided.


Characteristics Of Mesospheric Gravity Waves Over Antarctica Observed By Angwin (Antarctic Gravity Wave Instrument Network) Imagers Using 3-D Spectral Analyses, Takashi S. Matsuda, Takuji Nakamura, Mitsumu K. Ejiri, Masaki Tsutsumi, Yoshihiro Tomikawa, Michael J. Taylor, Yucheng Zhao, Pierre-Dominique Pautet, Damian J. Murphy, Tracy Moffat-Griffin Sep 2017

Characteristics Of Mesospheric Gravity Waves Over Antarctica Observed By Angwin (Antarctic Gravity Wave Instrument Network) Imagers Using 3-D Spectral Analyses, Takashi S. Matsuda, Takuji Nakamura, Mitsumu K. Ejiri, Masaki Tsutsumi, Yoshihiro Tomikawa, Michael J. Taylor, Yucheng Zhao, Pierre-Dominique Pautet, Damian J. Murphy, Tracy Moffat-Griffin

Publications

We have obtained horizontal phase velocity distributions of the gravity waves around 90 km from four Antarctic airglow imagers, which belong to an international airglow imager/instrument network known as ANGWIN (Antarctic Gravity Wave Instrument Network). Results from the airglow imagers at Syowa (69°S, 40°E), Halley (76°S, 27°W), Davis (69°S, 78°E), and McMurdo (78°S, 167°E) were compared, using a new statistical analysis method based on 3-D Fourier transform (Matsuda et al., 2014) for the observation period between 7 April and 21 May 2013. Significant day-to-day and site-to-site differences were found. The averaged phase velocity spectrum during the observation period showed preferential …


Collaborative Research: Refining And Testing Methods For Identifying And Quantifying Gaseous Oxidized Mercury In Air, Seth Lyman Jul 2017

Collaborative Research: Refining And Testing Methods For Identifying And Quantifying Gaseous Oxidized Mercury In Air, Seth Lyman

Funded Research Records

No abstract provided.


Cedar: Mesospheric Investigation Of Gravity Wave And Mountain Wave Activities And Impacts In The Lee Side Of The Southern Andes, Pierre-Dominique Pautet Jul 2017

Cedar: Mesospheric Investigation Of Gravity Wave And Mountain Wave Activities And Impacts In The Lee Side Of The Southern Andes, Pierre-Dominique Pautet

Funded Research Records

No abstract provided.


Opal Cubesat Data Analysis Model, Kenneth Zia, Ludger Scherliess, Michael J. Taylor Jun 2017

Opal Cubesat Data Analysis Model, Kenneth Zia, Ludger Scherliess, Michael J. Taylor

Physics Student Research

Understanding the Earth’s lower thermosphere (altitude range 9 km -140km) is of growing interest for many areas of research within the space weather community. The NSF sponsored OPAL (Optical Profiling of the Atmospheric Limb) mission is designed to measure temperature profile by observing the integrated line of sight of the day-time O2 A-band (~760nm) emissions on the limb. The OPAL instrument has an altitude resolution of 1.03km from 80-160km flown on a 3U CubeSat, and is expected to be launched from the ISS (International Space Station) (~400km altitude). We have developed a model of OPAL’s position and attitude of its …


Gridded Snow Water Equivalent Reconstruction For Utah Using Forest Inventory And Analysis Tree-Ring Data, Daniel Barandiaran, Shih-Yu (Simon) Wang, R. Justin Derose Jan 2017

Gridded Snow Water Equivalent Reconstruction For Utah Using Forest Inventory And Analysis Tree-Ring Data, Daniel Barandiaran, Shih-Yu (Simon) Wang, R. Justin Derose

Plants, Soils, and Climate Faculty Publications

Snowpack observations in the Intermountain West are sparse and short, making them difficult for use in depicting past variability and extremes. This study presents a reconstruction of April 1 snow water equivalent (SWE) for the period of 1850–1989 using increment cores collected by the U.S. Forest Service, Interior West Forest Inventory and Analysis program (FIA). In the state of Utah, SWE was reconstructed for 38 snow course locations using a combination of standardized tree-ring indices derived from both FIA increment cores and publicly available tree-ring chronologies. These individual reconstructions were then interpolated to a 4-km grid using an objective analysis …