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Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans

Atmos.Meas.Tech. discussions - Thu, 04/30/2020 - 18:45
Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans
Ioannis Cheliotis, Elsa Dieudonné, Hervé Delbarre, Anton Sokolov, Egor Dmitriev, Patrick Augustin, and Marc Fourmentin
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-82,2020
Preprint under review for AMT (discussion: open, 0 comments)
The current study presents an automated method to classify turbulent structures near the surface, based on the observations recorded by a single scanning Doppler lidar. This methodology combines texture analysis with a supervised machine learning algorithm in order to study large datasets. The algorithm classified correctly about 91 % cases of a training ensemble (150 scans). Furthermore the results of a two-months classified dataset (4577 scans) by the algorithm are presented.

Validation of acetonitrile (CH3CN) measurements in the stratosphere and lower mesosphere from the SMILES instrument on the International Space Station

Validation of acetonitrile (CH3CN) measurements in the stratosphere and lower mesosphere from the SMILES instrument on the International Space Station
Tamaki Fujinawa, Tomohiro O. Sato, Takayoshi Yamada, Seidai Nara, Yuki Uchiyama, Kodai Takahashi, Naohiro Yoshida, and Yasuko Kasai
Atmos. Meas. Tech., 13, 2119–2129, https://doi.org/10.5194/amt-13-2119-2020, 2020
We performed an error analysis of SMILES observations for acetonitrile and a validation using the MLS observations by extracting the coincident points between SMILES and MLS data. The major error sources for the SMILES observations were quantitatively estimated. At upper pressure levels the difference between the two datasets increased because of an uncertainty in MLS observations. The results showed that SMILES has an advantage in measuring acetonitrile in the upper stratosphere and mesosphere.

Retrieval of daytime mesospheric ozone using OSIRIS observation of O2(a1∆g) emission

Retrieval of daytime mesospheric ozone using OSIRIS observation of O2(a1∆g) emission
Anqi Li, Chris Roth, Kristell Pérot, Ole Martin Christensen, Adam M. Bourassa, Doug Degenstein, and Donal Murtagh
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-56,2020
Preprint under review for AMT (discussion: open, 0 comments)

Improving knowledge of the ozone global distributions in the mesosphere-lower thermosphere (MLT) is a crucial step in understanding the behaviour of the middle atmosphere. However, the ozone concentration under sunlit conditions in the MLT is often so low that its measurement requires instruments with very high sensitivity. Fortunately, the bright oxygen airglow can serve as a proxy to retrieve the daytime ozone density indirectly, due to the strong connection to ozone photolysis in the Hartley band. The OSIRIS IR imager (hereafter IRI), one of the instruments on the Odin satellite, routinely measures the oxygen infrared atmospheric band (IRA band) at 1.27 μm. In this paper, we will describe the detailed steps of retrieving the calibrated IRA band limb radiance, the volume emission rate of O2(a1∆g) and, finally, the ozone number density. This retrieval technique is applied to a one-year-sample IRI dataset. The resulting product is a completely new ozone dataset with very high along-track resolution. The performance of the retrieval technique is demonstrated by a comparison of the coincident ozone measurements from the same spacecraft, as well as zonal mean and monthly average comparisons between OS, SMR, MIPAS and ACE-FTS. The consistency of this IRI ozone dataset implies that such a retrieval technique can be further applied to all the measurements made throughout the 19 years-long mission, leading to a long-term, high resolution dataset in the middle atmosphere.

Validation of acetonitrile (CH3CN) measurements in the stratosphere and lower mesosphere from the SMILES instrument on the International Space Station

Atmos.Meas.Tech. discussions - Wed, 04/29/2020 - 18:45
Validation of acetonitrile (CH3CN) measurements in the stratosphere and lower mesosphere from the SMILES instrument on the International Space Station
Tamaki Fujinawa, Tomohiro O. Sato, Takayoshi Yamada, Seidai Nara, Yuki Uchiyama, Kodai Takahashi, Naohiro Yoshida, and Yasuko Kasai
Atmos. Meas. Tech., 13, 2119–2129, https://doi.org/10.5194/amt-13-2119-2020, 2020
We performed an error analysis of SMILES observations for acetonitrile and a validation using the MLS observations by extracting the coincident points between SMILES and MLS data. The major error sources for the SMILES observations were quantitatively estimated. At upper pressure levels the difference between the two datasets increased because of an uncertainty in MLS observations. The results showed that SMILES has an advantage in measuring acetonitrile in the upper stratosphere and mesosphere.

Retrieval of daytime mesospheric ozone using OSIRIS observation of O2(a1∆g) emission

Atmos.Meas.Tech. discussions - Wed, 04/29/2020 - 18:45
Retrieval of daytime mesospheric ozone using OSIRIS observation of O2(a1∆g) emission
Anqi Li, Chris Roth, Kristell Pérot, Ole Martin Christensen, Adam M. Bourassa, Doug Degenstein, and Donal Murtagh
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-56,2020
Preprint under review for AMT (discussion: open, 0 comments)

Improving knowledge of the ozone global distributions in the mesosphere-lower thermosphere (MLT) is a crucial step in understanding the behaviour of the middle atmosphere. However, the ozone concentration under sunlit conditions in the MLT is often so low that its measurement requires instruments with very high sensitivity. Fortunately, the bright oxygen airglow can serve as a proxy to retrieve the daytime ozone density indirectly, due to the strong connection to ozone photolysis in the Hartley band. The OSIRIS IR imager (hereafter IRI), one of the instruments on the Odin satellite, routinely measures the oxygen infrared atmospheric band (IRA band) at 1.27 μm. In this paper, we will describe the detailed steps of retrieving the calibrated IRA band limb radiance, the volume emission rate of O2(a1∆g) and, finally, the ozone number density. This retrieval technique is applied to a one-year-sample IRI dataset. The resulting product is a completely new ozone dataset with very high along-track resolution. The performance of the retrieval technique is demonstrated by a comparison of the coincident ozone measurements from the same spacecraft, as well as zonal mean and monthly average comparisons between OS, SMR, MIPAS and ACE-FTS. The consistency of this IRI ozone dataset implies that such a retrieval technique can be further applied to all the measurements made throughout the 19 years-long mission, leading to a long-term, high resolution dataset in the middle atmosphere.

Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI

Atmos.Meas.Tech. discussions - Tue, 04/28/2020 - 19:00
Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI
Maurits L. Kooreman, Piet Stammes, Victor Trees, Maarten Sneep, L. Gijsbert Tilstra, Martin de Graaf, Deborah C. Stein Zweers, Ping Wang, Olaf N. E. Tuinder, and J. Pepijn Veefkind
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-112,2020
Preprint under review for AMT (discussion: open, 0 comments)
We investigated the influence of clouds on the AAI, which is an indicator of the presence of small particles suspended in the atmosphere. Clouds produce artefacts in the AAI calculation on the individual measurement (7 km) scale, which was not seen with previous instruments, as well as large (1000+ km) scales. To reduce these artefacts, we used three different AAI calculation techniques with varying complexity. We find that the AAI artefacts are reduced when using more complex techniques.

Retrieval of Lower-Order Moments of the Drop Size Distribution using CSU-CHILL X-band Polarimetric Radar: A Case Study

Atmos.Meas.Tech. discussions - Tue, 04/28/2020 - 19:00
Retrieval of Lower-Order Moments of the Drop Size Distribution using CSU-CHILL X-band Polarimetric Radar: A Case Study
Viswanathan Bringi, Kumar Vijay Mishra, Merhala Thurai, Patrick C. Kennedy, and Timothy H. Raupach
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-160,2020
Preprint under review for AMT (discussion: open, 0 comments)
The raindrop size distribution and its moments are fundamental in many areas such as radar measurement of rainfall using polarimetry and numerical modelling of the microphysical processes of rain formation and evolution. We develop a technique which uses advanced radar measurements and complete drop size distributions using two collocated instruments to retrieve the lower order moments such as total drop concentration and rain water content. We demonstrate proof-of-concept using a case study.

Probabilistic analysis of ambiguities in radar echo direction of arrival from meteors

Atmos.Meas.Tech. discussions - Tue, 04/28/2020 - 19:00
Probabilistic analysis of ambiguities in radar echo direction of arrival from meteors
Daniel Kastinen and Johan Kero
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-157,2020
Preprint under review for AMT (discussion: open, 0 comments)
The behavior of position determination with interferometric radar systems and possible ambiguities therein depend on the spatial configuration of the radar receiving antennas and their individual characteristics. We have simulated the position determination performance of five different radar systems. These simulation showed that ambiguities are dynamic and need to be examined on a case by case basis. However, the simulations can be used to analyse and understand previously ambiguous data.

Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI

Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI
Maurits L. Kooreman, Piet Stammes, Victor Trees, Maarten Sneep, L. Gijsbert Tilstra, Martin de Graaf, Deborah C. Stein Zweers, Ping Wang, Olaf N. E. Tuinder, and J. Pepijn Veefkind
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-112,2020
Preprint under review for AMT (discussion: open, 0 comments)
We investigated the influence of clouds on the AAI, which is an indicator of the presence of small particles suspended in the atmosphere. Clouds produce artefacts in the AAI calculation on the individual measurement (7 km) scale, which was not seen with previous instruments, as well as large (1000+ km) scales. To reduce these artefacts, we used three different AAI calculation techniques with varying complexity. We find that the AAI artefacts are reduced when using more complex techniques.

Retrieval of Lower-Order Moments of the Drop Size Distribution using CSU-CHILL X-band Polarimetric Radar: A Case Study

Retrieval of Lower-Order Moments of the Drop Size Distribution using CSU-CHILL X-band Polarimetric Radar: A Case Study
Viswanathan Bringi, Kumar Vijay Mishra, Merhala Thurai, Patrick C. Kennedy, and Timothy H. Raupach
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-160,2020
Preprint under review for AMT (discussion: open, 0 comments)
The raindrop size distribution and its moments are fundamental in many areas such as radar measurement of rainfall using polarimetry and numerical modelling of the microphysical processes of rain formation and evolution. We develop a technique which uses advanced radar measurements and complete drop size distributions using two collocated instruments to retrieve the lower order moments such as total drop concentration and rain water content. We demonstrate proof-of-concept using a case study.

Probabilistic analysis of ambiguities in radar echo direction of arrival from meteors

Probabilistic analysis of ambiguities in radar echo direction of arrival from meteors
Daniel Kastinen and Johan Kero
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-157,2020
Preprint under review for AMT (discussion: open, 0 comments)
The behavior of position determination with interferometric radar systems and possible ambiguities therein depend on the spatial configuration of the radar receiving antennas and their individual characteristics. We have simulated the position determination performance of five different radar systems. These simulation showed that ambiguities are dynamic and need to be examined on a case by case basis. However, the simulations can be used to analyse and understand previously ambiguous data.

Removing spurious inertial instability signals from gravity wave temperature perturbations using spectral filtering methods

Atmos.Meas.Tech. discussions - Mon, 04/27/2020 - 19:00
Removing spurious inertial instability signals from gravity wave temperature perturbations using spectral filtering methods
Cornelia Strube, Manfred Ern, Peter Preusse, and Martin Riese
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-29,2020
Preprint under review for AMT (discussion: open, 1 comment)
We present how inertial instabilities affect gravity wave background removals on different temperature data sets. Vertical filtering has to remove a part of the gravity wave spectrum to eliminate inertial instability remnants, while horizontal filtering leaves typical gravity wave scales untouched. In addition, we show that it is possible to separate inertial instabilities from gravity wave perturbations for infrared limb-sounding satellite profiles using a cutoff zonal wavenumber of 6.

Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications

Atmos.Meas.Tech. discussions - Mon, 04/27/2020 - 19:00
Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications
Priyanka deSouza, Ralph A. Kahn, James A. Limbacher, Eloise A. Marais, Fábio Duarte, and Carlo Ratti
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-136,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper presents a novel method to calibrate satellite data using low-cost optical particle counters (OPCs) to develop higher quality particulate matter (PM) estimates. This method could enable cities that do not have access to expensive reference air quality monitors, many of which are in the global South, to develop locally calibrated PM estimates from satellite data. Such information can be crucial for the development of effective air quality management plans.

Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications

Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications
Priyanka deSouza, Ralph A. Kahn, James A. Limbacher, Eloise A. Marais, Fábio Duarte, and Carlo Ratti
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-136,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper presents a novel method to calibrate satellite data using low-cost optical particle counters (OPCs) to develop higher quality particulate matter (PM) estimates. This method could enable cities that do not have access to expensive reference air quality monitors, many of which are in the global South, to develop locally calibrated PM estimates from satellite data. Such information can be crucial for the development of effective air quality management plans.

Removing spurious inertial instability signals from gravity wave temperature perturbations using spectral filtering methods

Removing spurious inertial instability signals from gravity wave temperature perturbations using spectral filtering methods
Cornelia Strube, Manfred Ern, Peter Preusse, and Martin Riese
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-29,2020
Preprint under review for AMT (discussion: open, 1 comment)
We present how inertial instabilities affect gravity wave background removals on different temperature data sets. Vertical filtering has to remove a part of the gravity wave spectrum to eliminate inertial instability remnants, while horizontal filtering leaves typical gravity wave scales untouched. In addition, we show that it is possible to separate inertial instabilities from gravity wave perturbations for infrared limb-sounding satellite profiles using a cutoff zonal wavenumber of 6.

New Mexico badlands help researchers understand past Martian lava flows (video)

GeoSpace: Earth & Space Science - Mon, 04/27/2020 - 14:37

An aerial view of the McCartys flow field in western New Mexico, which is twice the size of Washington, D.C. Cracks in the rock show how the lava shrank as it cooled. Inflation pits can also be seen: pits that formed when the lava flowed and inflated around an obstacle.
Credit: Christopher Hamilton.

By Lauren Lipuma

Planetary scientists are using a volcanic flow field in New Mexico to puzzle out how long past volcanic eruptions on Mars might have lasted, a finding that could help researchers determine if Mars was ever hospitable to life. 

People don’t usually think of New Mexico as a volcanically active place, but it has some of the youngest (geologically speaking) large lava flows in the continental United States.

Christopher Hamilton, a planetary scientist at the University of Arizona, has been studying one particular flow, the McCartys, for nearly 10 years. Hidden in plain sight along Route 66, the McCartys is part of a large volcanic flow field in New Mexico’s El Malpais National Monument that was erupted several thousand years ago. El Malpais, or the badlands, is so named for the desolate, rocky landscape it encompasses.

Hamilton and his colleagues are trying to understand how long it took for the McCartys flow field to be laid down, which will help them understand how past eruptions on Earth and Mars affected their planet’s ability to host life.



How long a lava flow lasts helps determine an eruption’s effect on a planet’s habitability. Lavas erupted quickly over days or weeks can release a lot of gas into the atmosphere and potentially alter a planet’s climate. But lavas erupted slowly over years or decades can release heat into the ground, which can warm groundwater and generate hydrothermal systems that support exotic forms of microbial life.

“I like to think about it like the tortoise and the hare,” Hamilton said. “You’re erupting the same amount of material, but is it done in this gradual process, or is done in a very fast process?”

Christopher Hamilton and colleagues use kites to study the McCartys lava flow field from the air.
Credit: Christopher Hamilton.

As lava advances, it inflates, just like rising bread. As the outermost lava cools, it forms a crust scientists can measure. In a new study in AGU’s Journal of Geophysical Research: Planets, Hamilton and his colleagues measured how thick the McCartys crust is to estimate how long it took for the lava to grow. The thicker the crust, the longer the eruption lasted.

The McCartys flow is huge, covering about 310 square kilometers (120 square miles). The 2018 eruption of Hawaii’s Kilauea volcano was tiny by comparison: at its end, the eruption had covered about 35 square kilometers (14 square miles) of land with lava.

To study such a large area, the researchers mounted cameras on kites and collected extremely detailed images from the air.

“The kites became our personal satellites, acquiring high-resolution images to transform the observations we’re making on the ground into an aerial perspective so we can study other terrains on Mars,” Hamilton said.

Combining the kite images with measurements from the ground, Hamilton and his team estimate that the southern branch of the McCartys was laid down over the course of about two years, but as a whole, the eruption could have lasted for over a decade.

Because the McCartys flow was erupted over a long period of time, the researchers suspect similar lava fields on Mars were also erupted slowly. They argue that the thick lava flows of Mars’s Hrad Vallis—in some places as tall as a 20-story office building—were laid down over several decades. These flows likely contained enough heat to have sustained hydrothermal systems hospitable to microbial life for hundreds to thousands of years, according to Hamilton.

“Hrad Vallis has the potential to have interacted with water and generated hydrothermal systems,” he said.

The McCartys has attracted the interest of volcanologists for over a century, but it has many more secrets to tell about the geologic history of the Southwest and the search for life throughout the solar system.

Lauren Lipuma is a science writer and video producer at AGU.

The post New Mexico badlands help researchers understand past Martian lava flows (video) appeared first on GeoSpace.

An improved TROPOMI tropospheric HCHO retrieval over China

Atmos.Meas.Tech. discussions - Fri, 04/24/2020 - 19:00
An improved TROPOMI tropospheric HCHO retrieval over China
Wenjing Su, Cheng Liu, Ka Lok Chan, Qihou Hu, Haoran Liu, Xiangguang Ji, Yizhi Zhu, Ting Liu, Chengxin Zhang, Yujia Chen, and Jianguo Liu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-109,2020
Preprint under review for AMT (discussion: open, 0 comments)
The manuscript presents an improved retrieval of TROPOMI tropospheric HCHO column over China. The new retrieval optimized both slant column retrieval and air mass factor calculation for TROPOMI observations of HCHO over China. The improved TROPOMI HCHO is subsequently validated by MAX-DOAS observations. Compared to the operational product, the improved HCHO agrees better to the MAX-DOAS data and thus better suit for the analysis of regional and city scale pollution in China.

An improved TROPOMI tropospheric HCHO retrieval over China

An improved TROPOMI tropospheric HCHO retrieval over China
Wenjing Su, Cheng Liu, Ka Lok Chan, Qihou Hu, Haoran Liu, Xiangguang Ji, Yizhi Zhu, Ting Liu, Chengxin Zhang, Yujia Chen, and Jianguo Liu
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-109,2020
Preprint under review for AMT (discussion: open, 0 comments)
The manuscript presents an improved retrieval of TROPOMI tropospheric HCHO column over China. The new retrieval optimized both slant column retrieval and air mass factor calculation for TROPOMI observations of HCHO over China. The improved TROPOMI HCHO is subsequently validated by MAX-DOAS observations. Compared to the operational product, the improved HCHO agrees better to the MAX-DOAS data and thus better suit for the analysis of regional and city scale pollution in China.

Shallow cumuli cover and its uncertainties from ground-based lidar–radar data and sky images

Atmos.Meas.Tech. discussions - Thu, 04/23/2020 - 19:00
Shallow cumuli cover and its uncertainties from ground-based lidar–radar data and sky images
Erin A. Riley, Jessica M. Kleiss, Laura D. Riihimaki, Charles N. Long, Larry K. Berg, and Evgueni Kassianov
Atmos. Meas. Tech., 13, 2099–2117, https://doi.org/10.5194/amt-13-2099-2020, 2020
Discrepancies in hourly shallow cumuli cover estimates can be substantial. Instrument detection differences contribute to long-term bias in shallow cumuli cover estimates, whereas narrow field-of-view configurations impact measurement uncertainty as averaging time decreases. A new tool is introduced to visually assess both impacts on sub-hourly cloud cover estimates. Accurate shallow cumuli cover estimation is needed for model–observation comparisons and studying cloud-surface interactions.

Shallow cumuli cover and its uncertainties from ground-based lidar–radar data and sky images

Shallow cumuli cover and its uncertainties from ground-based lidar–radar data and sky images
Erin A. Riley, Jessica M. Kleiss, Laura D. Riihimaki, Charles N. Long, Larry K. Berg, and Evgueni Kassianov
Atmos. Meas. Tech., 13, 2099–2117, https://doi.org/10.5194/amt-13-2099-2020, 2020
Discrepancies in hourly shallow cumuli cover estimates can be substantial. Instrument detection differences contribute to long-term bias in shallow cumuli cover estimates, whereas narrow field-of-view configurations impact measurement uncertainty as averaging time decreases. A new tool is introduced to visually assess both impacts on sub-hourly cloud cover estimates. Accurate shallow cumuli cover estimation is needed for model–observation comparisons and studying cloud-surface interactions.

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