Articles | Volume 16, issue 3
https://doi.org/10.5194/amt-16-845-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-16-845-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2023
Research article |
| 16 Feb 2023
| 16 Feb 2023
High-resolution 3D winds derived from a modified WISSDOM synthesis scheme using multiple Doppler lidars and observations
Chia-Lun Tsai
Department of Astronomy and Atmospheric Sciences, Center for
Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu,
South Korea
Department of Atmospheric Sciences, Chinese Culture University,
Taipei, Taiwan
Kwonil Kim
Department of Astronomy and Atmospheric Sciences, Center for
Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu,
South Korea
Yu-Chieng Liou
Department of Atmospheric Sciences, National Central University,
Jhongli, Taiwan
GyuWon Lee
CORRESPONDING AUTHOR
Department of Astronomy and Atmospheric Sciences, Center for
Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu,
South Korea
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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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Atmospheric tides are global-scale oscillations with periods of a fraction of a day. Their observation in the middle atmosphere is challenging and rare, as it requires continuous measurements with a high temporal resolution. In this paper, temperature time series of a ground-based microwave radiometer were analyzed with a spectral filter to derive thermal tide amplitudes and phases in an altitude range of 25–50 km at the geographical locations of Payerne and Bern (Switzerland).
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A symmetric error model built by symmetric rain rates handles the non-Gaussian error structure of the reflectivity error. The accuracy and linearization of rain rates can further improve the Gaussianity.
José Alex Zenteno-Hernández, Adolfo Comerón, Federico Dios, Alejandro Rodríguez-Gómez, Constantino Muñoz-Porcar, Michaël Sicard, Noemi Franco, Andreas Behrendt, and Paolo Di Girolamo
Atmos. Meas. Tech., 17, 4687–4694, https://doi.org/10.5194/amt-17-4687-2024, https://doi.org/10.5194/amt-17-4687-2024, 2024
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We study how the spectral characteristics of a solid-state laser in an atmospheric temperature profiling lidar using the Raman technique impact the temperature retrieval accuracy. We find that the spectral widening, with respect to a seeded laser, has virtually no impact, while crystal-rod temperature variations in the laser must be kept within a range of 1 K for the uncertainty in the atmospheric temperature below 1 K. The study is carried out through spectroscopy simulations.
Robert Reichert, Natalie Kaifler, and Bernd Kaifler
Atmos. Meas. Tech., 17, 4659–4673, https://doi.org/10.5194/amt-17-4659-2024, https://doi.org/10.5194/amt-17-4659-2024, 2024
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Imagine you want to determine how quickly the pitch of a passing ambulance’s siren changes. If the vehicle is traveling slowly, the pitch changes only slightly, but if it is traveling fast, the pitch also changes rapidly. In a similar way, the wind in the middle atmosphere modulates the wavelength of atmospheric gravity waves. We have investigated the question of how strong the maximum wind may be so that the change in wavelength can still be determined with the help of wavelet transformation.
Qiang Guo, Yuning Liu, Xin Wang, and Wen Hui
Atmos. Meas. Tech., 17, 4613–4627, https://doi.org/10.5194/amt-17-4613-2024, https://doi.org/10.5194/amt-17-4613-2024, 2024
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Non-linearity (NL) correction is a critical procedure to guarantee that the calibration accuracy of a spaceborne sensor approaches a reasonable level. Different from the classical method, a new NL correction method for a spaceborne Fourier transform spectrometer is proposed. To overcome the inaccurate linear coefficient from two-point calibration influencing NL correction, an iteration algorithm is established that is suitable for NL correction of both infrared and microwave sensors.
Yuanxin Pan, Grzegorz Kłopotek, Laura Crocetti, Rudi Weinacker, Tobias Sturn, Linda See, Galina Dick, Gregor Möller, Markus Rothacher, Ian McCallum, Vicente Navarro, and Benedikt Soja
Atmos. Meas. Tech., 17, 4303–4316, https://doi.org/10.5194/amt-17-4303-2024, https://doi.org/10.5194/amt-17-4303-2024, 2024
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Crowdsourced smartphone GNSS data were processed with a dedicated data processing pipeline and could produce millimeter-level accurate estimates of zenith total delay (ZTD) – a critical atmospheric variable. This breakthrough not only demonstrates the feasibility of using ubiquitous devices for high-precision atmospheric monitoring but also underscores the potential for a global, cost-effective tropospheric monitoring network.
Almudena Velázquez Blázquez, Edward Baudrez, Nicolas Clerbaux, and Carlos Domenech
Atmos. Meas. Tech., 17, 4245–4256, https://doi.org/10.5194/amt-17-4245-2024, https://doi.org/10.5194/amt-17-4245-2024, 2024
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The Broadband Radiometer measures shortwave and total-wave radiances filtered by the spectral response of the instrument. To obtain unfiltered solar and thermal radiances, the effect of the spectral response needs to be corrected for, done within the BM-RAD processor. Errors in the unfiltering are propagated into fluxes; thus, accurate unfiltering is required for their proper estimation (within BMA-FLX). Unfiltering errors are estimated to be <0.5 % for the shortwave and <0.1 % for the longwave.
Qihou Zhou, Yanlin Li, and Yun Gong
Atmos. Meas. Tech., 17, 4197–4209, https://doi.org/10.5194/amt-17-4197-2024, https://doi.org/10.5194/amt-17-4197-2024, 2024
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We discuss several robust estimators to compute the variance of a normally distributed random variable to deal with interference. Compared to rank-based estimators, the methods based on the geometric mean are more accurate and are computationally more efficient. We apply three robust estimators to incoherent scatter power and velocity processing, along with the traditional sample mean estimator. The best estimator is a hybrid estimator that combines the sample mean and a robust estimator.
Zhao Shi, Yuxiang Wen, and Jianxin He
Atmos. Meas. Tech., 17, 4121–4135, https://doi.org/10.5194/amt-17-4121-2024, https://doi.org/10.5194/amt-17-4121-2024, 2024
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The squall line is a type of convective system. Squall lines are often associated with damaging weather, so identifying and tracking squall lines plays an important role in early meteorological disaster warnings. A clustering-based method is proposed in this article. It can identify the squall lines within the radar scanning range with an accuracy rate of 95.93 %. It can also provide the three-dimensional structure and movement tracking results for each squall line.
Elizabeth N. Smith and Jacob T. Carlin
Atmos. Meas. Tech., 17, 4087–4107, https://doi.org/10.5194/amt-17-4087-2024, https://doi.org/10.5194/amt-17-4087-2024, 2024
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Boundary-layer height observations remain sparse in time and space. In this study we create a new fuzzy logic method for synergistically combining boundary-layer height estimates from a suite of instruments. These estimates generally compare well to those from radiosondes; plus, the approach offers near-continuous estimates through the entire diurnal cycle. Suspected reasons for discrepancies are discussed. The code for the newly presented fuzzy logic method is provided for the community to use.
Lev D. Labzovskii, Gerd-Jan van Zadelhoff, David P. Donovan, Jos de Kloe, L. Gijsbert Tilstra, Ad Stoffelen, Damien Josset, and Piet Stammes
EGUsphere, https://doi.org/10.5194/egusphere-2024-1926, https://doi.org/10.5194/egusphere-2024-1926, 2024
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The Atmospheric Laser Doppler Instrument (ALADIN) on the Aeolus satellite was the first of its kind to measure high-resolution vertical profiles of aerosols and cloud properties from space. We present an algorithm, producing Aeolus lidar surface returns (LSR) containing useful information for measuring UV reflectivity. Aeolus LSR matched well with existing UV reflectivity data from other satellites like GOME-2 and TROPOMI and demonstrated excellent sensitivity to modelled snow cover.
Laura Bianco, Bianca Adler, Ludovic Bariteau, Irina V. Djalalova, Timothy Myers, Sergio Pezoa, David D. Turner, and James M. Wilczak
Atmos. Meas. Tech., 17, 3933–3948, https://doi.org/10.5194/amt-17-3933-2024, https://doi.org/10.5194/amt-17-3933-2024, 2024
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The Tropospheric Remotely Observed Profiling via Optimal Estimation physical retrieval is used to retrieve temperature and humidity profiles from various combinations of passive and active remote sensing instruments, surface platforms, and numerical weather prediction models. The retrieved profiles are assessed against collocated radiosonde in non-cloudy conditions to assess the sensitivity of the retrievals to different input combinations. Case studies with cloudy conditions are also inspected.
Björn Linder, Peter Preusse, Qiuyu Chen, Ole Martin Christensen, Lukas Krasauskas, Linda Megner, Manfred Ern, and Jörg Gumbel
Atmos. Meas. Tech., 17, 3829–3841, https://doi.org/10.5194/amt-17-3829-2024, https://doi.org/10.5194/amt-17-3829-2024, 2024
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The Swedish research satellite MATS (Mesospheric Airglow/Aerosol Tomography and Spectroscopy) is designed to study atmospheric waves in the mesosphere and lower thermosphere. These waves perturb the temperature field, and thus, by observing three-dimensional temperature fluctuations, their properties can be quantified. This pre-study uses synthetic MATS data generated from a general circulation model to investigate how well wave properties can be retrieved.
Gia Huan Pham, Shu-Chih Yang, Chih-Chien Chang, Shu-Ya Chen, and Cheng Yung Huang
Atmos. Meas. Tech., 17, 3605–3623, https://doi.org/10.5194/amt-17-3605-2024, https://doi.org/10.5194/amt-17-3605-2024, 2024
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This research examines the characteristics of low-level GNSS radio occultation (RO) refractivity bias over ocean and land and its dependency on the RO retrieval uncertainty, atmospheric temperature, and moisture. We propose methods for estimating the region-dependent refractivity bias. Our methods can be applied to calibrate the refractivity bias under different atmospheric conditions and thus improve the applications of the GNSS RO data in the deep troposphere.
Sanja Dmitrovic, Johnathan W. Hair, Brian L. Collister, Ewan Crosbie, Marta A. Fenn, Richard A. Ferrare, David B. Harper, Chris A. Hostetler, Yongxiang Hu, John A. Reagan, Claire E. Robinson, Shane T. Seaman, Taylor J. Shingler, Kenneth L. Thornhill, Holger Vömel, Xubin Zeng, and Armin Sorooshian
Atmos. Meas. Tech., 17, 3515–3532, https://doi.org/10.5194/amt-17-3515-2024, https://doi.org/10.5194/amt-17-3515-2024, 2024
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This study introduces and evaluates a new ocean surface wind speed product from the NASA Langley Research Center (LARC) airborne High-Spectral-Resolution Lidar – Generation 2 (HSRL-2) during the NASA ACTIVATE mission. We show that HSRL-2 surface wind speed data are accurate when compared to ground-truth dropsonde measurements. Therefore, the HSRL-2 instrument is able obtain accurate, high-resolution surface wind speed data in airborne field campaigns.
Laura M. Tomkins, Sandra E. Yuter, and Matthew A. Miller
Atmos. Meas. Tech., 17, 3377–3399, https://doi.org/10.5194/amt-17-3377-2024, https://doi.org/10.5194/amt-17-3377-2024, 2024
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We have created a new method to better identify enhanced features in radar data from winter storms. Unlike the clear-cut features seen in warm-season storms, features in winter storms are often fuzzier with softer edges. Our technique is unique because it uses two adaptive thresholds that change based on the background radar values. It can identify both strong and subtle features in the radar data and takes into account uncertainties in the detection process.
Eileen Päschke and Carola Detring
Atmos. Meas. Tech., 17, 3187–3217, https://doi.org/10.5194/amt-17-3187-2024, https://doi.org/10.5194/amt-17-3187-2024, 2024
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Little noise in radial velocity Doppler lidar measurements can contribute to large errors in retrieved turbulence variables. In order to distinguish between plausible and erroneous measurements we developed new filter techniques that work independently of the choice of a specific threshold for the signal-to-noise ratio. The performance of these techniques is discussed both by means of assessing the filter results and by comparing retrieved turbulence variables versus independent measurements.
Lei Liu, Natalia Bliankinshtein, Yi Huang, John R. Gyakum, Philip M. Gabriel, Shiqi Xu, and Mengistu Wolde
EGUsphere, https://doi.org/10.5194/egusphere-2024-1045, https://doi.org/10.5194/egusphere-2024-1045, 2024
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This study evaluates and compares a new microwave hyperspectrometer with an infrared hyperspectrometer for clear-sky temperature and water vapor retrievals. The analysis reveals that the information content of the infrared hyperspectrometer exceeds that of the microwave hyperspectrometer and provides higher vertical resolution in ground-based zenith measurements. Leveraging the ground-airborne synergy between the two instruments yielded optimal-sounding results.
Dong L. Wu, Valery A. Yudin, Kyu-Myong Kim, Mohar Chattopadhyay, Lawrence Coy, Ruth S. Lieberman, C. C. Jude H. Salinas, Jae H. Lee, Jie Gong, and Guiping Liu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-51, https://doi.org/10.5194/amt-2024-51, 2024
Revised manuscript accepted for AMT
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Radio occultation (RO) observations play an important role in monitoring climate changes and numerical weather forecasts. The residual ionospheric error (RIE) in RO measurements is critical to accurately retrieve atmospheric temperature and refractivity. This study shows that RIF impacts on temperature analysis are mainly confined to the polar stratosphere with amplitude of 1–4 K. These results further highlight the need for RO RIE correction in the modern data assimilation systems.
Luuk D. van der Valk, Miriam Coenders-Gerrits, Rolf W. Hut, Aart Overeem, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 17, 2811–2832, https://doi.org/10.5194/amt-17-2811-2024, https://doi.org/10.5194/amt-17-2811-2024, 2024
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Microwave links, often part of mobile phone networks, can be used to measure rainfall along the link path by determining the signal loss caused by rainfall. We use high-frequency data of multiple microwave links to recreate commonly used sampling strategies. For time intervals up to 1 min, the influence of sampling strategies on estimated rainfall intensities is relatively little, while for intervals longer than 5–15 min, the sampling strategy can have significant influences on the estimates.
Martin Lainer, Killian P. Brennan, Alessandro Hering, Jérôme Kopp, Samuel Monhart, Daniel Wolfensberger, and Urs Germann
Atmos. Meas. Tech., 17, 2539–2557, https://doi.org/10.5194/amt-17-2539-2024, https://doi.org/10.5194/amt-17-2539-2024, 2024
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This study uses deep learning (the Mask R-CNN model) on drone-based photogrammetric data of hail on the ground to estimate hail size distributions (HSDs). Traditional hail sensors' limited areas complicate the full HSD retrieval. The HSD of a supercell event on 20 June 2021 is retrieved and contains > 18 000 hailstones. The HSD is compared to automatic hail sensor measurements and those of weather-radar-based MESHS. Investigations into ground hail melting are performed by five drone flights.
Andreas Foth, Moritz Lochmann, Pablo Saavedra Garfias, and Heike Kalesse-Los
EGUsphere, https://doi.org/10.5194/egusphere-2024-919, https://doi.org/10.5194/egusphere-2024-919, 2024
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Microwave radiometers are usually not able to provide atmospheric quantities such as temperature profiles during rain. Here, we present a method based on a selection of specific frequencies and elevation angles from the microwave radiometer observation. A comparison with a numerical weather prediction model shows that the presented method allows to resolve temperature profiles during rain with rain rates up to 2 mm h−1 which was not possible before with state-of-the-art retrievals.
Andrea Camplani, Daniele Casella, Paolo Sanò, and Giulia Panegrossi
Atmos. Meas. Tech., 17, 2195–2217, https://doi.org/10.5194/amt-17-2195-2024, https://doi.org/10.5194/amt-17-2195-2024, 2024
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The paper describes a new machine-learning-based snowfall retrieval algorithm for Advanced Technology Microwave Sounder observations developed to retrieve high-latitude snowfall events. The main novelty of the approach is the radiometric characterization of the background surface at the time of the overpass, which is ancillary to the retrieval process. The algorithm shows a unique capability to retrieve snowfall in the environmental conditions typical of high latitudes.
Lusheng Liang, Wenying Su, Sergio Sejas, Zachary Eitzen, and Norman G. Loeb
Atmos. Meas. Tech., 17, 2147–2163, https://doi.org/10.5194/amt-17-2147-2024, https://doi.org/10.5194/amt-17-2147-2024, 2024
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This paper describes an updated process to obtain unfiltered radiation from CERES satellite instruments by incorporating the most recent developments in radiative transfer modeling and ancillary input datasets (e.g., realistic representation of land surface radiation and climatology of surface temperatures and aerosols) during the past 20 years. The resulting global mean of instantaneous SW and LW fluxes is changed by less than 0.5 W m−2 with regional differences as large as 2.0 W m−2.
Maximilian Graf, Andreas Wagner, Julius Polz, Llorenç Lliso, José Alberto Lahuerta, Harald Kunstmann, and Christian Chwala
Atmos. Meas. Tech., 17, 2165–2182, https://doi.org/10.5194/amt-17-2165-2024, https://doi.org/10.5194/amt-17-2165-2024, 2024
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Commercial microwave links (CMLs) can be used for rainfall retrieval. The detection of rainy periods in their attenuation time series is a crucial processing step. We investigate the usage of rainfall data from MSG SEVIRI for this task, compare this approach with existing methods, and introduce a novel combined approach. The results show certain advantages for SEVIRI-based methods, particularly for CMLs where existing methods perform poorly. Our novel combination yields the best performance.
Lieuwe G. Tilstra, Martin de Graaf, Victor J. H. Trees, Pavel Litvinov, Oleg Dubovik, and Piet Stammes
Atmos. Meas. Tech., 17, 2235–2256, https://doi.org/10.5194/amt-17-2235-2024, https://doi.org/10.5194/amt-17-2235-2024, 2024
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This paper introduces a new surface albedo climatology of directionally dependent Lambertian-equivalent reflectivity (DLER) observed by TROPOMI on the Sentinel-5 Precursor satellite. The database contains monthly fields of DLER for 21 wavelength bands at a relatively high spatial resolution of 0.125 by 0.125 degrees. The anisotropy of the surface reflection is handled by parameterisation of the viewing angle dependence.
Bing Cao and Alan Z. Liu
Atmos. Meas. Tech., 17, 2123–2146, https://doi.org/10.5194/amt-17-2123-2024, https://doi.org/10.5194/amt-17-2123-2024, 2024
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A narrow-band sodium lidar measures atmospheric waves but is limited to vertical variations. We propose to utilize phase shifts among observations from different laser beams to derive horizontal wave information. Two gravity wave packets were identified by this method. Both waves were found to interact with thin evanescent layers, partially reflected, but transmitted energy to higher altitudes. The method can detect more medium-frequency gravity waves for similar lidar systems worldwide.
Xiaozhen Xiong, Xu Liu, Robert Spurr, Ming Zhao, Qiguang Yang, Wan Wu, and Liqiao Lei
Atmos. Meas. Tech., 17, 1965–1978, https://doi.org/10.5194/amt-17-1965-2024, https://doi.org/10.5194/amt-17-1965-2024, 2024
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The term “hotspot” refers to the sharp increase in reflectance occurring when incident (solar) and reflected (viewing) directions coincide in the backscatter direction. The accurate simulation of hotspot directional signatures is important for many remote sensing applications, but current models typically require large values of computations to represent the hotspot accurately. This paper provides a numerically improved hotspot BRDF model that converges much faster and is used in VLIDORT.
Daniel Zawada, Kimberlee Dubé, Taran Warnock, Adam Bourassa, Susann Tegtmeier, and Douglas Degenstein
Atmos. Meas. Tech., 17, 1995–2010, https://doi.org/10.5194/amt-17-1995-2024, https://doi.org/10.5194/amt-17-1995-2024, 2024
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There remain large uncertainties in long-term changes of stratospheric–atmospheric temperatures. We have produced a time series of more than 20 years of satellite-based temperature measurements from the OSIRIS instrument in the upper–middle stratosphere. The dataset is publicly available and intended to be used for a better understanding of changes in stratospheric temperatures.
Natalie E. Theeuwes, Janet F. Barlow, Antti Mannisenaho, Denise Hertwig, Ewan O'Connor, and Alan Robins
EGUsphere, https://doi.org/10.5194/egusphere-2024-937, https://doi.org/10.5194/egusphere-2024-937, 2024
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A doppler lidar was placed in highly built-up area in London to measure wakes from tall buildings during a period of one year. We were able to detect wakes and assess their dependence on wind speed, wind direction, and atmospheric stability.
Alban Philibert, Marie Lothon, Julien Amestoy, Pierre-Yves Meslin, Solène Derrien, Yannick Bezombes, Bernard Campistron, Fabienne Lohou, Antoine Vial, Guylaine Canut-Rocafort, Joachim Reuder, and Jennifer K. Brooke
Atmos. Meas. Tech., 17, 1679–1701, https://doi.org/10.5194/amt-17-1679-2024, https://doi.org/10.5194/amt-17-1679-2024, 2024
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We present a new algorithm, CALOTRITON, for the retrieval of the convective boundary layer depth with ultra-high-frequency radar measurements. CALOTRITON is partly based on the principle that the top of the convective boundary layer is associated with an inversion and a decrease in turbulence. It is evaluated using ceilometer and radiosonde data. It is able to qualify the complexity of the vertical structure of the low troposphere and detect internal or residual layers.
Kamil Mroz, Alessandro Battaglia, and Ann M. Fridlind
Atmos. Meas. Tech., 17, 1577–1597, https://doi.org/10.5194/amt-17-1577-2024, https://doi.org/10.5194/amt-17-1577-2024, 2024
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In this study, we examine the extent to which radar measurements from space can inform us about the properties of clouds and precipitation. Surprisingly, our analysis showed that the amount of ice turning into rain was lower than expected in the current product. To improve on this, we came up with a new way to extract information about the size and concentration of particles from radar data. As long as we use this method in the right conditions, we can even estimate how dense the ice is.
Volker Wulfmeyer, Christoph Senff, Florian Späth, Andreas Behrendt, Diego Lange, Robert M. Banta, W. Alan Brewer, Andreas Wieser, and David D. Turner
Atmos. Meas. Tech., 17, 1175–1196, https://doi.org/10.5194/amt-17-1175-2024, https://doi.org/10.5194/amt-17-1175-2024, 2024
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A simultaneous deployment of Doppler, temperature, and water-vapor lidar systems is used to provide profiles of molecular destruction rates and turbulent kinetic energy (TKE) dissipation in the convective boundary layer (CBL). The results can be used for the parameterization of turbulent variables, TKE budget analyses, and the verification of weather forecast and climate models.
Daisuke Hotta, Katrin Lonitz, and Sean Healy
Atmos. Meas. Tech., 17, 1075–1089, https://doi.org/10.5194/amt-17-1075-2024, https://doi.org/10.5194/amt-17-1075-2024, 2024
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Global Navigation Satellite System (GNSS) polarimetric radio occultation (PRO) is a new type of GNSS observations that can detect heavy precipitation along the ray path between the emitter and receiver satellites. As a first step towards using these observations in numerical weather prediction (NWP), we developed a computer code that simulates GNSS-PRO observations from forecast fields produced by an NWP model. The quality of the developed simulator is evaluated with a number of case studies.
Mohamed Mossad, Irina Strelnikova, Robin Wing, and Gerd Baumgarten
Atmos. Meas. Tech., 17, 783–799, https://doi.org/10.5194/amt-17-783-2024, https://doi.org/10.5194/amt-17-783-2024, 2024
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This numerical study addresses observational gaps' impact on atmospheric gravity wave spectra. Three methods, fast Fourier transform (FFT), generalized Lomb–Scargle periodogram (GLS), and Haar structure function (HSF), were tested on synthetic data. HSF is best for spectra with negative slopes. GLS excels for flat and positive slopes and identifying dominant frequencies. Accurately estimating these aspects is crucial for understanding gravity wave dynamics and energy transfer in the atmosphere.
Kuo-Nung Wang, Chi O. Ao, Mary G. Morris, George A. Hajj, Marcin J. Kurowski, Francis J. Turk, and Angelyn W. Moore
Atmos. Meas. Tech., 17, 583–599, https://doi.org/10.5194/amt-17-583-2024, https://doi.org/10.5194/amt-17-583-2024, 2024
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In this article, we described a joint retrieval approach combining two techniques, RO and MWR, to obtain high vertical resolution and solve for temperature and moisture independently. The results show that the complicated structure in the lower troposphere can be better resolved with much smaller biases, and the RO+MWR combination is the most stable scenario in our sensitivity analysis. This approach is also applied to real data (COSMIC-2/Suomi-NPP) to show the promise of joint RO+MWR retrieval.
Filippo Emilio Scarsi, Alessandro Battaglia, Frederic Tridon, Paolo Martire, Ranvir Dhillon, and Anthony Illingworth
Atmos. Meas. Tech., 17, 499–514, https://doi.org/10.5194/amt-17-499-2024, https://doi.org/10.5194/amt-17-499-2024, 2024
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The WIVERN mission, one of the two candidates to be the ESA's Earth Explorer 11 mission, aims at providing measurements of horizontal winds in cloud and precipitation systems through a conically scanning W-band Doppler radar. This work discusses four methods that can be used to characterize and correct the Doppler velocity error induced by the antenna mispointing. The proposed methodologies can be extended to other Doppler concepts featuring conically scanning or slant viewing Doppler systems.
Cited articles
Armijo, L.: A theory for the determination of wind and precipitation
velocities with Doppler radars, J. Atmos. Sci., 26, 570–573, 1969.
Bell, M. M., Montgomery, M. T., and Emanuel, K. A.: Air–sea enthalpy and
momentum exchange at major hurricane wind speeds observed during CBLAST, J.
Atmos. Sci., 69, 3197–3222, https://doi.org/10.1175/JAS-D-11-0276.1, 2012.
Bell, T. M., Klein, P., Wildmann, N., and Menke, R.: Analysis of flow in complex terrain using multi-Doppler lidar retrievals, Atmos. Meas. Tech., 13, 1357–1371, https://doi.org/10.5194/amt-13-1357-2020, 2020.
Browning, K. A. and Wexler, R.: The Determination of Kinematic Properties
of a Wind Field Using Doppler Radar, J. Appl. Meteorol., 7, 105–113,
https://doi.org/10.1175/1520-0450(1968)007<0105:TDOKPO>2.0.CO;2, 1968.
Cha, T.-Y. and Bell, M. M.: Comparison of single-Doppler and multiple-Doppler wind retrievals in Hurricane Matthew (2016), Atmos. Meas. Tech., 14, 3523–3539, https://doi.org/10.5194/amt-14-3523-2021, 2021.
Chen, Y.-A.: Verification of multiple-Doppler-radar derived vertical
velocity using profiler data and high resolution examination over complex
terrain, MS thesis, National Central University, 91 pp., 2019.
Choi, D., Hwang, Y., and Lee, Y. H.: Observing Sensitivity Experiment Based on Convective Scale Model for Upper-air Observation Data on GISANG 1 (KMA
Research Vessel) in Summer 2018, Atmosphere, 30, 17–30, 2020 (Korean with
English abstract).
Choukulkar, A., Brewer, W. A., Sandberg, S. P., Weickmann, A., Bonin, T. A., Hardesty, R. M., Lundquist, J. K., Delgado, R., Iungo, G. V., Ashton, R., Debnath, M., Bianco, L., Wilczak, J. M., Oncley, S., and Wolfe, D.: Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign, Atmos. Meas. Tech., 10, 247–264, https://doi.org/10.5194/amt-10-247-2017, 2017.
Colle, B. A. and Mass, C. F.: High-Resolution Observations and Numerical
Simulations of Easterly Gap Flow through the Strait of Juan de Fuca on 9–10
December 1995, Mon. Weather Rev., 128, 2398–2422, 2000.
Cressman, G. P.: An operational objective analysis system. Mon. Weather Rev.,
87, 367–374, 1959.
Gao, J., Droegemeier, K. K., Gong, J., and Xu, Q.: A method for retrieving
mean horizontal wind profiles from single-Doppler radar observations
contaminated by aliasing, Mon. Weather Rev., 132, 1399–1409,
https://doi.org/10.1175/1520-0493-132.6.1399, 2004.
Hill, M., R. Calhoun, H. J. S. F., Wieser, A., Dornbrack, A., Weissmann, M.,
Mayr, G., and Newsom, R.: Coplanar Doppler lidar retrieval of rotors from
T-REX, J. Atmos. Sci., 67, 713–729, 2010.
Jou, B. J.-D., Lee, W.-C., Liu, S.-P., and Kao, Y.-C.: Generalized VTD
retrieval of atmospheric vortex kinematic structure. Part I: Formulation and
error analysis, Mon. Weather Rev., 136, 995–1012,
https://doi.org/10.1175/2007MWR2116.1, 2008.
Kim, D.-J., Kang, G., Kim, D.-Y., and Kim, J.-J.: Characteristics of LDAPS-Predicted
Surface Wind Speed and Temperature at Automated Weather Stations with
Different Surrounding Land Cover and Topography in Korea, Atmosphere, 11,
1224, https://doi.org/10.3390/atmos11111224, 2020.
Kim, J., Sharman, R. D., Benjamin, S. G., Brown, J. M., Park, S., and Klemp, J. B.: Improvement of Mountain Wave Turbulence Forecast in the NOAA's
Rapid Refresh (RAP) Model with Hybrid Vertical Coordinate System, Weather
Forecast., 34, 773–780, https://doi.org/10.1175/WAF-D-18-0187.1, 2019.
Kim, K., Lyu, G., Baek, S., Shin, K., and Lee, G.: Retrieval and Accuracy
Evaluation of Horizontal Winds from Doppler Lidars during ICE-POP 2018,
Atmos., 32, 163–178, https://doi.org/10.14191/ATMOS.2022.32.2.163, 2022.
KMA (Korea Meteorological Administration): Meteorological Data Open Portal, KMA, https://data.kma.go.kr/cmmn/selectMemberAgree.do, last access: 8 February 2023.
Lee, J., Seo, J., Baik, J., Park, S., and Han, B.: A Numerical Study of
Windstorms in the Lee of the Taebaek Mountains, South Korea: Characteristics
and Generation Mechanisms, Atmosphere, 11, 431, https://doi.org/10.3390/atmos11040431, 2020.
Lee, J.-T., Ko, K.-Y., Lee, D.-I., You, C.-H., and Liou, Y.-C.: Enhancement of orographic precipitation in Jeju Island during the passage of Typhoon Khanun (2012), Atmos. Res., 201, 1245–1254, https://doi.org/10.1016/j.atmosres.2017.10.013, 2017.
Lee, J.-T., Ko, K.-Y., Lee, D.-I., You, C.-H., and Liou, Y.-C.: Enhancement of orographic precipitation in Jeju Island during the passage of Typhoon Khanun (2012), Atmos. Res., 201, 58–71, https://doi.org/10.1016/j.atmosres.2017.10.013, 2018.
Lee, W.-C., Marks Jr., F. D., and Carbone, R. E.: Velocity track display – A
technique to extract real-time tropical cyclone circulations using a single
airborne Doppler radar, J. Atmos. Ocean. Tech., 11, 337–356,
https://doi.org/10.1175/1520-0426(1994)011<0337:VTDTTE>2.0.CO;2, 1994.
Lee, W.-C., Jou, B. J.-D., Chang, P.-L., and Deng, S.-M.: Tropical cyclone
kinematic structure derived from single-Doppler radar observations. Part I:
Interpretation of Doppler velocity patterns and the GBVTD technique, Mon.
Weather Rev., 127, 2419–2439,
https://doi.org/10.1175/1520-0493(1999)127<2419:TCKSRF>2.0.CO;2, 1999.
Liou, Y. and Chang, Y.: A Variational Multiple–Doppler Radar
Three-Dimensional Wind Synthesis Method and Its Impacts on Thermodynamic
Retrieval, Mon. Weather Rev., 137, 3992–4010, https://doi.org/10.1175/2009MWR2980.1, 2009.
Liou, Y., Chang, S., and Sun, J.: An Application of the Immersed Boundary
Method for Recovering the Three-Dimensional Wind Fields over Complex Terrain
Using Multiple-Doppler Radar Data, Mon. Weather Rev., 140, 1603–1619, https://doi.org/10.1175/MWR-D-11-00151.1, 2012.
Liou, Y., Chen Wang, T., Tsai, Y., Tang, Y., Lin, P., and Lee, Y.: Structure
of precipitating systems over Taiwan's complex terrain during Typhoon
Morakot (2009) as revealed by weather radar and rain gauge observations, J.
Hydrol., 506, 14–25, https://doi.org/10.1016/j.jhydrol.2012.09.004, 2013.
Liou, Y., Chiou, J., Chen, W., and Yu, H.: Improving the Model Convective
Storm Quantitative Precipitation Nowcasting by Assimilating State Variables
Retrieved from Multiple-Doppler Radar Observations, Mon. Weather Rev., 142,
4017–4035, https://doi.org/10.1175/MWR-D-13-00315.1, 2014.
Liou, Y., Chen Wang, T., and Huang, P.: The Inland Eyewall Reintensification
of Typhoon Fanapi (2010) Documented from an Observational Perspective Using
Multiple-Doppler Radar and Surface Measurements, Mon. Weather Rev., 144,
241–261, https://doi.org/10.1175/MWR-D-15-0136.1, 2016.
Liou, Y.-C., Wang, T.-C. C., Lee, W.-C., and Chang, Y.-J.: The retrieval of
asymmetric tropical cyclone structures using Doppler radar simulations and
observations with the extended GBVTD technique, Mon. Weather Rev., 134,
1140–1160, https://doi.org/10.1175/MWR3107.1, 2006.
Liou, Y. C., Yang, P. C., and Wang, W. Y.: Thermodynamic recovery of the
pressure and temperature fields over complex terrain using wind fields
derived by multiple-Doppler radar synthesis, Mon. Weather Rev., 147,
3843–3857, https://doi.org/10.1175/MWR-D-19-0059.1, 2019.
Mass, C. F. and Ovens, D.: The Northern California Wildfires of 8–9
October 2017: The Role of a Major Downslope Wind Event, B. Am. Meteorol.
Soc., 100, 235–256, https://doi.org/10.1175/BAMS-D-18-0037.1, 2019.
Mohr, C. G. and Miller, L. J.: CEDRIC – A software package for Cartesian
Space Editing, Synthesis, and Display of Radar Fields under Interactive
Control, Preprints, 21st Conf. on Radar Meteorology, Edmonton, AB, Canada,
Amer. Meteor. Soc., 569–574, 1983.
North, K. W., Oue, M., Kollias, P., Giangrande, S. E., Collis, S. M., and Potvin, C. K.: Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E, Atmos. Meas. Tech., 10, 2785–2806, https://doi.org/10.5194/amt-10-2785-2017, 2017.
Oue, M., Kollias, P., Shapiro, A., Tatarevic, A., and Matsui, T.: Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals, Atmos. Meas. Tech., 12, 1999–2018, https://doi.org/10.5194/amt-12-1999-2019, 2019.
Park, J.-R., Kim, J.-H., Shin, Y., Kim, S.-H., Chun, H.-Y., Jang, W., Tsai,
C.-L., and Lee, G.: A numerical simulation of a strong windstorm event in the
Taebaek Mountain Region in Korea during the ICE-POP 2018, Atmos. Res., 272,
106158, https://doi.org/10.1016/j.atmosres.2022.106158, 2022.
Päschke, E., Leinweber, R., and Lehmann, V.: An assessment of the performance of a 1.5 µm Doppler lidar for operational vertical wind profiling based on a 1-year trial, Atmos. Meas. Tech., 8, 2251–2266, https://doi.org/10.5194/amt-8-2251-2015, 2015.
Reed, T. R.: GAP WINDS OF THE STRAIT OF JUAN DE FUCA, Mon. Weather Rev., 59,
373–376, https://doi.org/10.1175/1520-0493(1931)59<373:GWOTSO>2.0.CO;2, 1931.
Ryzhkov, A., Zhang, P., Reeves, H., Kumjian, M., Tschallener, T., Trömel, S., and Simmer, C.: Quasi-Vertical Profiles–A New Way to Look at Polarimetric Radar Data, J. Atmos. Ocean. Tech., 33, 551–562, https://doi.org/10.1175/JTECH-D-15-0020.1, 2016.
Tsai, C.-L.: Data for WISSDOM Synthesis in A Strong Wind Event 13-14 Feb. 2018, Zenodo [data set], https://doi.org/10.5281/zenodo.6537507, 2022.
Tsai, C.-L., Kim, K., Liou, Y., Lee, G., and Yu, C.: Impacts of Topography on
Airflow and Precipitation in the Pyeongchang Area Seen from Multiple-Doppler
Radar Observations, Mon. Weather Rev., 146, 3401–3424, https://doi.org/10.1175/MWR-D-17-0394.1, 2018.
Tsai, C.-L., Kim, K., Liou, Y.-C., Kim, J.-H., Lee, Y., and Lee, G.:
Orographic-induced strong wind associated with a low-pressure system under
clear-air condition during ICE-POP 2018, J. Geophys. Res.-Atmos., 127,
e2021JD036418, https://doi.org/10.1029/2021JD036418, 2022.
Tseng, Y. and Ferziger, J.: A ghost-cell immersed boundary method for flow
in complex geometry, J. Comput. Phys., 192, 593–623, https://doi.org/10.1016/j.jcp.2003.07.024, 2003.
Yu, C.-K. and Bond, N. A.: Airborne Doppler observations of a cold front
in the vicinity of Vancouver Island, Mon. Weather Rev., 130, 2692–2708,
https://doi.org/10.1175/1520-0493(2000)128<1577:ADOOAL>2.0.CO;2, 2002.
Yu, C.-K. and Jou, B. J.-D.: Radar observations of diurnally forced, offshore convective lines along the southeastern coast of Taiwan, Mon. Weather Rev., 133, 1613–1636, https://doi.org/10.1175/MWR2937.1, 2005.
Yu, C.-K. and Tsai, C.-L.: Surface Pressure Features of Landfalling Typhoon
Rainbands and Their Possible Causes, J. Atmos. Sci., 67, 2893–2911,
https://doi.org/10.1175/2010JAS3312.1, 2010.
Yu, C.-K. and Tsai, C.-L.: Structural and surface features of arc-shaped
radar echoes along an outer tropical cyclone rainband, J. Atmos. Sci., 70, 56–72, https://doi.org/10.1175/JAS-D-12-090.1, 2013.
Yu, C.-K. and Tsai, C.-L.: Structural changes of an outer tropical cyclone
rain band encountering the topography of northern Taiwan, Q. J. Roy. Meteor.
Soc., 143, 1107–1122, https://doi.org/10.1002/qj.2994, 2017.
Yu, C.-K., Cheng, L.-W., Wu, C.-C., and Tsai, C.-L.: Outer Tropical Cyclone
Rainbands Associated with Typhoon Matmo (2014), Mon. Weather Rev., 148, 2935–2952, https://doi.org/10.1175/MWR-D-20-0054.1, 2020.
Short summary
Since the winds in clear-air conditions usually play an important role in the initiation of various weather systems and phenomena, the modified Wind Synthesis System using Doppler Measurements (WISSDOM) synthesis scheme was developed to derive high-quality and high-spatial-resolution 3D winds under clear-air conditions. The performance and accuracy of derived 3D winds from this modified scheme were evaluated with an extreme strong wind event over complex terrain in Pyeongchang, South Korea.
Since the winds in clear-air conditions usually play an important role in the initiation of...
