Combined list of the recent articles of the journal Atmospheric Measurement Techniques and the recent discussion forum Atmospheric Measurement Techniques Discussions
Updated: 3 years 40 weeks ago
Tue, 06/16/2020 - 13:39
Correcting the impact of the isotope composition on the mixing ratio dependency of water vapour isotope measurements with cavity ring-down spectrometers
Yongbiao Weng, Alexandra Touzeau, and Harald Sodemann
Atmos. Meas. Tech., 13, 3167–3190, https://doi.org/10.5194/amt-13-3167-2020, 2020
We find that the known mixing ratio dependence of laser spectrometers for water vapour isotope measurements varies with isotope composition. We have developed a scheme to correct for this isotope-composition-dependent bias. The correction is most substantial at low mixing ratios. Stability tests indicate that the first-order dependency is a constant instrument characteristic. Water vapour isotope measurements at low mixing ratios can now be corrected by following our proposed procedure.
Mon, 06/15/2020 - 13:39
An extended radar relative calibration adjustment (eRCA) technique for higher-frequency radars and range–height indicator (RHI) scans
Alexis Hunzinger, Joseph C. Hardin, Nitin Bharadwaj, Adam Varble, and Alyssa Matthews
Atmos. Meas. Tech., 13, 3147–3166, https://doi.org/10.5194/amt-13-3147-2020, 2020
The calibration of weather radars is one of the most dominant sources of errors hindering their use. This work takes a technique for tracking the changes in radar calibration using the radar clutter from the ground and extends it to higher-frequency research radars. It demonstrates that after modifications the technique is successful but that special care needs to be taken in its application at high frequencies. The technique is verified using data from multiple DOE ARM field campaigns.
Mon, 06/15/2020 - 13:39
Validation of TROPOMI Surface UV Radiation Product
Kaisa Lakkala, Jukka Kujanpää, Colette Brogniez, Nicolas Henriot, Antti Arola, Margit Aun, Frédérique Auriol, Alkiviadis F. Bais, Germar Bernhard, Veerle De Bock, Maxime Catalfamo, Christine Deroo, Henri Diémoz, Luca Egli, Jean-Baptiste Forestier, Ilias Fountoulakis, Rosa Delia Garcia, Julian Gröbner, Seppo Hassinen, Anu Heikkilä, Stuart Henderson, Gregor Hülsen, Bjørn Johnsen, Niilo Kalakoski, Angelos Karanikolas, Tomi Karppinen, Kevin Lamy, Sergio F. León-Luis, Anders V. Lindfors, Jean-Marc Metzger, Fanny Minvielle, Harel B. Muskatel, Thierry Portafaix, Alberto Redondas, Ricardo Sanchez, Anna Maria Siani, Tove Svendby, and Johanna Tamminen
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-121,2020
Preprint under review for AMT (discussion: open, 0 comments)
The TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor (S5P) satellite was launched on 13 October 2017 to provide the atmospheric composition for atmosphere and climate research. Ground-based data from 25 sites located in arctic, subarctic, temperate, equatorial and antarctic
areas were used for validation of the TROPOMI Surface Ultraviolet (UV) Radiation Product. For most sites 60–80 % of TROPOMI data was within ±20 % from ground-based data.
Mon, 06/15/2020 - 13:39
The Importance of Size Ranges in Aerosol Instrument Intercomparisons: A Case Study for the ATom Mission
Hongyu Guo, Pedro Campuzano-Jost, Benjamin A. Nault, Douglas A. Day, Jason C. Schroder, Jack E. Dibb, Maximilian Dollner, Bernadett Weinzierl, and Jose L. Jimenez
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-224,2020
Preprint under review for AMT (discussion: open, 0 comments)
We utilize a set of high-quality datasets collected during the NASA ATom aircraft mission to investigate the impact of differences in observable particle sizes across aerosol instruments, in aerosol measurement comparisons. Very good agreement was found between chemically and physically derived submicron aerosol volume. Results support a lack of significant unknown biases in the response of Aerodyne Aerosol Mass Spectrometer (AMS) when sampling remote aerosols across the globe.
Fri, 06/12/2020 - 13:39
The development of the Atmospheric Measurements by Ultra-Light Spectrometer (AMULSE) greenhouse gas profiling system and application for satellite retrieval validation
Lilian Joly, Olivier Coopmann, Vincent Guidard, Thomas Decarpenterie, Nicolas Dumelié, Julien Cousin, Jérémie Burgalat, Nicolas Chauvin, Grégory Albora, Rabih Maamary, Zineb Miftah El Khair, Diane Tzanos, Joël Barrié, Éric Moulin, Patrick Aressy, and Anne Belleudy
Atmos. Meas. Tech., 13, 3099–3118, https://doi.org/10.5194/amt-13-3099-2020, 2020
This article presents an instrument weighing less than 3 kg for accurate and rapid measurement of greenhouse gases between 0 and 30 km altitude using a meteorological balloon. This article shows the interest of these measurements for the validation of simulations of infrared satellite observations.
Fri, 06/12/2020 - 13:39
Implementation of a chemical background method for atmospheric OH measurements by laser-induced fluorescence: characterisation and observations from the UK and China
Robert Woodward-Massey, Eloise J. Slater, Jake Alen, Trevor Ingham, Danny R. Cryer, Leanne M. Stimpson, Chunxiang Ye, Paul W. Seakins, Lisa K. Whalley, and Dwayne E. Heard
Atmos. Meas. Tech., 13, 3119–3146, https://doi.org/10.5194/amt-13-3119-2020, 2020
The OH radical is known as nature’s detergent, removing most trace gases from the atmosphere. Hence, an accurate measurement of its concentration is very important. We present measurements of OH in several field locations using a laser-based fluorescence method equipped with an OH scavenger. By determining the background signal in two different ways, we show that the instrument does not suffer any significant interferences that could result in an overestimation of OH concentrations.
Fri, 06/12/2020 - 13:39
Robust statistical calibration and characterization of portable low-cost air quality monitoring sensors to quantify real-time O
Thu, 06/11/2020 - 13:39
Evaluation of the 15-year ROM SAF monthly mean GPS radio occultation climate data record
Hans Gleisner, Kent B. Lauritsen, Johannes K. Nielsen, and Stig Syndergaard
Atmos. Meas. Tech., 13, 3081–3098, https://doi.org/10.5194/amt-13-3081-2020, 2020
Data from GPS radio occultation (RO) instruments aboard a series of satellites have been reprocessed by the ROM SAF. We describe the monthly mean RO climate data records (CDRs) and the methods for removing sampling errors. The quality of the CDRs is evaluated, with a focus on systematic differences between satellite missions. Between 8 and 30 km, the data quality and the inter-mission differences are small enough to allow the generation of combined multi-mission data records starting in 2001.
Thu, 06/11/2020 - 13:39
A hybrid method for reconstructing the historical evolution of aerosol optical depth from sunshine duration measurements
William Wandji Nyamsi, Antti Lipponen, Arturo Sanchez-Lorenzo, Martin Wild, and Antti Arola
Atmos. Meas. Tech., 13, 3061–3079, https://doi.org/10.5194/amt-13-3061-2020, 2020
This paper proposes a novel and accurate method for estimating and reconstructing aerosol optical depth from sunshine duration measurements under cloud-free conditions at any place and time since the late 19th century. The method performs very well when compared to AErosol RObotic NETwork measurements and operates an efficient detection of signals from massive volcanic eruptions. Reconstructed long-term aerosol optical depths are in agreement with the dimming/brightening phenomenon.
Thu, 06/11/2020 - 13:39
A kernel-driven BRDF model to inform satellite-derived visible anvil cloud detection
Benjamin Scarino, Kristopher Bedka, Rajendra Bhatt, Konstantin Khlopenkov, David R. Doelling, and William L. Smith Jr.
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-206,2020
Preprint under review for AMT (discussion: open, 0 comments)
This paper highlights a technique for facilitating anvil cloud detection based on visible observations that relies on comparative analysis with expected cloud reflectance for a given set of angles. A one-year database of anvil-identified pixels, as determined from IR observations, from several geostationary satellites was used to construct a bidirectional reflectance distribution function model to quantify typical anvil reflectance across almost all expected viewing, solar, and azimuth angles.
Thu, 06/11/2020 - 13:39
Interference from alkenes in chemiluminescent NO
Thu, 06/11/2020 - 13:39
Retrieved wind speed from the Orbiting Carbon Observatory-2
Robert R. Nelson, Annmarie Eldering, David Crisp, Aronne J. Merrelli, and Christopher W. O'Dell
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-180,2020
Preprint under review for AMT (discussion: open, 0 comments)
Measurements of surface wind speed over oceans are scientifically useful. Here we show that the Orbiting Carbon Observatory-2 (OCO-2), originally designed to measure carbon dioxide using reflected sunlight, can also accurately and precisely measure wind speed. OCO-2's high spatial resolution means that it can observe close to coastlines and therefore be used to study coastal wind processes and inform related economic sectors.
Wed, 06/10/2020 - 13:39
A comparison of OH nightglow volume emission rates as measured by SCIAMACHY and SABER
Yajun Zhu, Martin Kaufmann, Qiuyu Chen, Jiyao Xu, Qiucheng Gong, Jilin Liu, Daikang Wei, and Martin Riese
Atmos. Meas. Tech., 13, 3033–3042, https://doi.org/10.5194/amt-13-3033-2020, 2020
OH airglow emissions can be used to derive rotational temperature and trace constituents in the mesopause region, but systematic differences exist for the follow-up data using OH emission radiance as measured by SCIAMACHY and SABER. This paper makes a comparison of OH emission radiance as measured by them and shows the systematic differences between the two measurements. The radiometric calibration of the two instruments could potentially explain the differences between the two measurements.
Wed, 06/10/2020 - 13:39
A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data
Swadhin Nanda, Martin de Graaf, J. Pepijn Veefkind, Maarten Sneep, Mark ter Linden, Jiyunting Sun, and Pieternel F. Levelt
Atmos. Meas. Tech., 13, 3043–3059, https://doi.org/10.5194/amt-13-3043-2020, 2020
This paper presents a first validation of the TROPOspheric Monitoring Instrument (TROPOMI) aerosol layer height (ALH) product, which is an estimate of the height of an aerosol layer using a spectrometer on board ESA's Sentinel-5 Precursor satellite mission. Comparison between the TROPOMI ALH product and co-located aerosol extinction heights from the CALIOP instrument on board NASA's CALIPSO mission show good agreement for selected cases over the ocean and large differences over land.
Tue, 06/09/2020 - 13:39
Comparison of dimension reduction techniques in the analysis of mass spectrometry data
Sini Isokääntä, Eetu Kari, Angela Buchholz, Liqing Hao, Siegfried Schobesberger, Annele Virtanen, and Santtu Mikkonen
Atmos. Meas. Tech., 13, 2995–3022, https://doi.org/10.5194/amt-13-2995-2020, 2020
Online mass spectrometry produces large amounts of data. These data can be interpreted with statistical methods, enabling scientists to more easily understand the underlying processes. We compared these techniques on car exhaust measurements. We show differences and similarities between the methods and give recommendations on applicability of the methods on certain types of data. We show that applying multiple methods leads to more robust results, thus increasing reliability of the findings.
Tue, 06/09/2020 - 13:39
First observations of the McMurdo–South Pole oblique ionospheric HF channel
Alex T. Chartier, Juha Vierinen, and Geonhwa Jee
Atmos. Meas. Tech., 13, 3023–3031, https://doi.org/10.5194/amt-13-3023-2020, 2020
A novel oblique ionospheric radio sounder has been developed and demonstrated in Antarctica. The transmitter was located at McMurdo and the receiver at the South Pole (1356 km great-circle path). The system cycled through 12 frequencies each minute and recorded signal time of flight, intensity, and Doppler. This allowed for the estimation of peak ionospheric electron density, which validated well against independent data from the nearby Jang Bogo ionosonde and GPS TEC.
Tue, 06/09/2020 - 13:39
Aqueous particle generation with a 3D printed nebulizer
Michael Rösch and Daniel J. Cziczo
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-155,2020
Preprint under review for AMT (discussion: open, 0 comments)
The need for a simple atomizer with a high output stability combined with the capabilities of CAD software and high resolution 3D printing has allowed for the design, production and testing of the PRinted drOpleT Generator (PROTeGE) to generate liquid particles from solutions. The size and number concentrations of the generated particles has been characterized with different ammonium sulfate and PSL solutions. PROTeGE is easy to operate, requires minimal maintenance and is cost-effective.
Tue, 06/09/2020 - 13:39
New technique for high-precision, simultaneous measurements of
CH
Mon, 06/08/2020 - 13:39
Clouds over Hyytiälä, Finland: an algorithm to classify clouds based on solar radiation and cloud base height measurements
Ilona Ylivinkka, Santeri Kaupinmäki, Meri Virman, Maija Peltola, Ditte Taipale, Tuukka Petäjä, Veli-Matti Kerminen, Markku Kulmala, and Ekaterina Ezhova
Atmos. Meas. Tech. Discuss., https//doi.org/10.5194/amt-2020-130,2020
Preprint under review for AMT (discussion: open, 1 comment)
In this study, we developed a new algorithm for cloud classification using solar radiation and cloud base height measurements. Our objective was to develop a simple and inexpensive but effective algorithm for the needs of studies related ecosystem and atmosphere interactions. In the present study, we used the algorithm for obtaining cloud statistics at a measurement station in southern Finland and we discuss on the advantages and shortcomings of the algorithm.
Fri, 06/05/2020 - 19:07
An improved post-processing technique for automatic precipitation gauge time series
Amber Ross, Craig D. Smith, and Alan Barr
Atmos. Meas. Tech., 13, 2979–2994, https://doi.org/10.5194/amt-13-2979-2020, 2020
The raw data derived from most automated accumulating precipitation gauges often suffer from non-precipitation-related fluctuations in the measurement of the gauge bucket weights from which the precipitation amount is determined. This noise can be caused by electrical interference, mechanical noise, and evaporation. This paper presents an automated filtering technique that builds on the principle of iteratively balancing noise to produce a clean precipitation time series.
