Article
Environmental Sciences
Zbynek Sokol, Jana Popova, Katerina Skripnikova, Rosa Claudia Torcasio, Stefano Federico, Ondrej Fiser
Summary: We processed five years of measurements (2018-2022) from the MIRA 35c radar at the Milesovka meteorological observatory to analyze cloud structure of thunderstorms and compare differences in measured data for cases with lightning discharges near and far from the radar. Results showed distinct differences in radar quantities between the two datasets.
Article
Environmental Sciences
Hwayoung Jeoung, Shangyong Shi, Guosheng Liu
Summary: A novel method for validating satellite radar snowfall retrievals using surface station observations has been proposed. The study found that the satellite product underestimates snowfall in the western United States mountainous regions by about 65%, and the bias does not seem to have clear dependency on elevation.
Article
Environmental Sciences
Fei Geng, Liping Liu
Summary: This paper introduces an X-band dual-polarization phased-array weather radar (X-PAR) used in X-PAR networks, and the key issue of eliminating attenuation and system bias of X-band radar data to utilize the advantage of X-PAR networks. Disdrometer raindrop-size distribution (DSD) measurements are used to calculate radar polarimetric variables and analyze precipitation attenuation characteristics. An attenuation-correction method for X-PAR reflectivity is proposed based on the network of S-band dual-polarization Doppler weather radar (S-POL) and X-PARs, using linear programming to calculate attenuation-correction parameters of different rainfall areas.
Article
Environmental Sciences
Sergey Y. Matrosov
Summary: The statistical relationships between Z(DR) and Z(e) can effectively distinguish between warm rain and stratiform rain, with warm rain having smaller Z(DR) values on average but still following a relative trend due to an abundance of smaller drops. Applying the Z(DR)-Z(e) relation can correctly classify different types of precipitation, with warm rain requiring separate identification for more accurate precipitation estimations.
Article
Chemistry, Analytical
Pavel Chernyshov, Katrin Hessner, Andrey Zavadsky, Yaron Toledo
Summary: X-band radars are widely used in oceanography but are often affected by interference, impacting the analysis of oceanographic data. In this study, a new filtering approach was developed to remove this interference, improving the performance and accuracy of oceanographic parameter retrieval. This has significant implications for harbor operational decision making.
Article
Environmental Sciences
Mengtao Yin, Cheng Yuan
Summary: Spaceborne snow water retrievals over oceans are evaluated using Coincident data from CloudSat CPR and GPM DPR. Factors contributing to retrieval differences between CPR and DPR are considered. The results show that CPR surface snow water contents are larger than those from DPR at high latitudes, while the opposite is true at low latitudes. CPR mostly detects light snowfall events, while both CPR and DPR detect moderate and heavy snowfall events. The findings have implications for developing global snowfall retrieval algorithms using multi-radars.
Article
Geochemistry & Geophysics
Shashank S. Joshil, V. Chandrasekar
Summary: Weather radars are important for remote sensing of the atmosphere, providing accurate data for meteorology and hydrology. While most research on attenuation correction focuses on rain, this study addresses the correction of snow using signal simulations. A new attenuation correction algorithm is proposed and shows promising results in both X-band and Ku-band radar data.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Yabin Gou, Haonan Chen, Hong Zhu, Lulin Xue
Summary: A study was conducted to explore the complex precipitation microphysics associated with super typhoon Lekima and its impact on the consistency of multi-source datasets and radar quantitative precipitation estimation. In situ and remote sensing observations were carried out in China, specifically in the waterlogged area of Yandang Mountain and Kuocang Mountain. The findings revealed the effectiveness of quality control processing for radar and disdrometers in enhancing self-consistency between radar measurements, the dominance of breakup over coalescence in radar volume gates, the tendency to overestimate rainfall in the study area, and the improved performance of certain radar rainfall estimates.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Geochemistry & Geophysics
Athina Pappa, Apollon Bournas, Konstantinos Lagouvardos, Evangelos Baltas
Summary: This research focuses on the impact of the Z-R relationship on weather radar rainfall estimates by comparing the correlation between different Z-R relationships and actual rain gauge measurements, and analyzing spatial variability. The study provides important findings on the spatial distribution of the optimal Z-R relationship based on the proximity of stations to the weather radar location, coastline, and station elevation.
Article
Meteorology & Atmospheric Sciences
Marie-Laure Roussel, Valentin Wiener, Christophe Genthon, Etienne Vignon, Eric Bazile, Cecile Agosta, Alexis Berne, Claudio Duran-Alarcon, Jean-Louis Dufresne, Chantal Claud
Summary: The performance of atmospheric models and meteorological reanalyses in predicting precipitation days in Antarctica was evaluated using ground-based observations. The models generally overestimated the number of days and intensity of snowfall, despite accurately predicting the occurrence of precipitation. Numerical weather prediction models performed better in forecasting precipitation days, especially when assimilating in-situ observations. The need to expand radar measurements to evaluate vertical profiles of snowfall rate and improve understanding of cold cloud microphysics in Antarctica was highlighted.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2023)
Article
Meteorology & Atmospheric Sciences
Juan Huo, Congzheng Han, Minzheng Duan, Xue Wu, Yongheng Bi, Yufang Tian
Summary: This study investigates the physical properties of cirrus clouds over Beijing using a Ka-band polar Doppler radar and uncovers probability distribution functions of radar reflectivity at different temperatures, as well as a positive correlation between reflectivity and temperature. The study divides cirrus clouds into three types based on cloud-base temperature and reveals significant differences in microphysical properties and interior structures among the types. Results provide new insights into cirrus clouds in Beijing and serve as a reference for global climate models.
ATMOSPHERIC RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Anne-Claire Billault-Roux, Jacopo Grazioli, Julien Delanoe, Susana Jorquera, Nicolas Pauwels, Nicolas Viltard, Audrey Martini, Vincent Mariage, Christophe Le Gac, Christophe Caudoux, Clemantyne Aubry, Fabrice Bertrand, Alfons Schwarzenboeck, Louis Jaffeux, Pierre Coutris, Guy Febvre, Jean Marc Pichon, Fabien Dezitter, Josue Gehring, Aude Untersee, Christophe Calas, Jordi Figueras I. Ventura, Benoit Vie, Adrien Peyrat, Valentin Curat, Simon Rebouissoux, Alexis Berne
Summary: This article describes an international field experiment that took place in the Swiss Jura in January 2021 as part of the ICE GENESIS project. The experiment aimed to improve the measurement and understanding of ice/snow particle properties and mechanisms responsible for icing of rotor-craft and aircraft. Through a combination of airborne and ground-based instruments, observations of clouds and snowfall were collected within a specific temperature range. The experiment demonstrated its potential in monitoring precipitation and synchronizing ground-based and airborne observations.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2023)
Article
Geochemistry & Geophysics
Ranting Tao, Kun Zhao, Hao Huang, Long Wen, Guifu Zhang, Ang Zhou, Haonan Chen
Summary: This study investigated the microphysical properties of snowfall in Nanjing, East China, during winter from 2015 to 2019 using 2-D video disdrometer and weighing precipitation gauge. The research found larger values of snow density and terminal velocity than reported in the literature for this region. By establishing the relationship between snow particle size distributions and radar reflectivity factor, the study derived a method to estimate liquid-equivalent snowfall rate.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geochemistry & Geophysics
Matthew L. Walker McLinden, Adrian M. Loftus, Lihua Li, Gerald M. Heymsfield
Summary: Nonuniform beam filling within an atmospheric radar sampling volume can cause significant Doppler velocity errors, especially on fast-moving platforms. A basic correction method is employed using an estimate of the along-track radar reflectivity gradient to reduce these errors. The relationship is empirically verified by comparing with measurements from a higher resolution cloud radar system.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Ali Rizik, Alessandro Battaglia, Frederic Tridon, Filippo Emilio Scarsi, Anton Koetsche, Heike Kalesse-Los, Maximilian Maahn, Anthony Illingworth
Summary: This article presents a novel technique based on the optimal estimation (OE) algorithm for retrieving copolar and conventional reflectivity in a Wind Velocity Radar Nephoscope (WIVERN). The proposed method overcomes the challenges of simultaneous transmission of polarization states and interference from weaker cross-polar signals. The performance of the technique is evaluated using simulated climatology profiles, demonstrating accurate retrieval of copolar reflectivity in regions with good signal-to-noise ratio.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Engineering, Ocean
Sergey Y. Matrosov
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2019)
Article
Environmental Sciences
Sergey Y. Matrosov
Article
Geosciences, Multidisciplinary
B. Rodriguez, N. P. Lareau, D. E. Kingsmill, C. B. Clements
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Meteorology & Atmospheric Sciences
Sergey Y. Matrosov, Alexander Ryzhkov, Maximilian Maahn, Gijs De Boer
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2020)
Article
Engineering, Ocean
Sergey Y. Matrosov
Summary: Dual-frequency millimeter-wavelength radar observations in snowfall were conducted to evaluate the differences in radar variables at Ka and W bands. The observed Z(DR) differences were less than 0.5 dB, K-DP data scaled with reciprocal radar frequencies, and LDR differences were influenced by system polarization leaks.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2021)
Article
Environmental Sciences
Sergey Y. Matrosov
Summary: The statistical relationships between Z(DR) and Z(e) can effectively distinguish between warm rain and stratiform rain, with warm rain having smaller Z(DR) values on average but still following a relative trend due to an abundance of smaller drops. Applying the Z(DR)-Z(e) relation can correctly classify different types of precipitation, with warm rain requiring separate identification for more accurate precipitation estimations.
Article
Meteorology & Atmospheric Sciences
David E. Kingsmill, Mark W. Seefeldt, John J. Cassano
Summary: Surface, upper-air, and radar observations were used to evaluate the performance of the Antarctic Mesoscale Prediction System (AMPS) in simulating a wind and precipitation event over the Ross Island region. The results showed similarities and differences between the AMPS simulations and the observations, indicating the need for further improvements.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Edwin L. Dunnavan, Jacob T. Carlin, Jiaxi Hu, Petar Bukovcic, Alexander V. Ryzhkov, Greg M. McFarquhar, Joseph A. Finlon, Sergey Y. Matrosov, David J. Delene
Summary: This study evaluates the reliability of ice particle size distribution and aspect ratio retrieved by radar by comparing them with observational aircraft data. The study finds that the radar retrievals show consistent results with the aircraft data in the dendritic growth layer, but the retrieved shapes do not match the observed shapes. These results are significant for improving future snowfall forecasting and understanding the uncertainties between radar measurements and snow production.
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2022)
Article
Environmental Sciences
David E. Kingsmill, Jeffrey R. French, Neil P. Lareau
Summary: This study characterizes the size and shape distributions of particles with diameters ranging from 10 μm to 6 mm observed during penetrations of wildfire-induced pyroconvection near Boise, Idaho, USA, by a research aircraft. The size distributions and particle shapes were found to be similar to those of a smoke plume from a prescribed fire and ash particles created in a burn chamber. The particles sampled during the penetrations are most likely pyrometeors composed of ash.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Meteorology & Atmospheric Sciences
Sergey Y. Matrosov, Alexei Korolev, Mengistu Wolde, Cuong Nguyen
Summary: This study establishes relationships between radar ratio measurements and characteristic hydrometeor size through comparing radar data and in situ sampling data. The study finds that X-band radar reflectivities show small differences between vertical and horizontal pointing, while W-band reflectivities are higher at vertical pointing due to non-Rayleigh scattering effects from preferentially oriented non-spherical particles.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Sciences
Sergey Y. Matrosov, Matthew D. Shupe, Taneil Uttal
Summary: This article presents the results of snowfall rate and accumulation estimates from various sensors during the MOSAiC expedition. The radar-based retrievals are consistent and less affected by blowing snow. The study also compares the measurements from different sensors and highlights the biases and limitations of each sensor.
ELEMENTA-SCIENCE OF THE ANTHROPOCENE
(2022)
Article
Meteorology & Atmospheric Sciences
Mariko Oue, Pavlos Kollias, Sergey Y. Matrosov, Alessandro Battaglia, Alexander Ryzhkov
Summary: The study found that triple-frequency radar approaches had limited success in identifying ice particles due to insufficient separation between K and Ka band frequencies. However, a joint analysis of DWR, MDV, and polarimetric radar variables showed potential in distinguishing among different ice particle types and growth processes. The research suggests that dual-frequency polarimetric and Doppler measurements can successfully be used to gain insights into ice hydrometeor microphysics without the need for triple-frequency measurements.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2021)
Article
Meteorology & Atmospheric Sciences
Yu A. Dovgalyuk, N. E. Veremei, A. A. Sin'kevich, Yu P. Mikhailovskii, S. Yu Matrosov, V. B. Popov
RUSSIAN METEOROLOGY AND HYDROLOGY
(2020)
Article
Environmental Sciences
Sara Lynn Fults, Adam K. Massmann, Aldo Montecinos, Elisabeth Andrews, David E. Kingsmill, Justin R. Minder, Rene D. Garreaud, Jefferson R. Snider
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2019)
Article
Meteorology & Atmospheric Sciences
Maximilian Maahn, Fabian Hoffmann, Matthew D. Shupe, Gijs de Boer, Sergey Y. Matrosov, Edward P. Luke
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2019)