Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-12-1483-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Mar 2019
Research article |
| 07 Mar 2019
Application of the Fengyun 3 C GNSS occultation sounder for assessing the global ionospheric response to a magnetic storm event
Weihua Bai
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
School of Astronomy and Space Science, University of Chinese Academy
of Sciences, Beijing 100049, China
Guojun Wang
CORRESPONDING AUTHOR
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
State Key Laboratory of Space Weather, Beijing 100190, China
Yueqiang Sun
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
School of Astronomy and Space Science, University of Chinese Academy
of Sciences, Beijing 100049, China
Jiankui Shi
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
School of Astronomy and Space Science, University of Chinese Academy
of Sciences, Beijing 100049, China
State Key Laboratory of Space Weather, Beijing 100190, China
Guanglin Yang
National Satellite Meteorological Center, Chinese Meteorological
Administration, Beijing 100081, China
Xiangguang Meng
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Dongwei Wang
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Qifei Du
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Xianyi Wang
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Junming Xia
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Yuerong Cai
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Congliang Liu
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Wei Li
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Chunjun Wu
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Danyang Zhao
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Di Wu
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
Cheng Liu
National Space Science Center, Chinese Academy of Sciences, Beijing
100190, China
Beijing Key Laboratory of Space Environment, Beijing 100190, China
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The GNSS Occultation Sounder (GNOS) is one of the new-generation payloads on board the Chinese FengYun 3 (FY-3) series of operational meteorological satellites for sounding the Earth’s neutral atmosphere and ionosphere. FY-3C GNOS, on board the FY-3 series C satellite launched in September 2013, was designed to acquire setting and rising radio occultation (RO) data by using GNSS signals from both the Chinese BDS and the US GPS. This paper reviews the FY-3C GNOS mission.
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Revised manuscript not accepted
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This papr mainly gives the results, comparison and bias analysis about thermal tropopause height calculated by two mainstream determination method in terms of different latitude locations and seasons. The tropopause height results in this paper are derived from the data of two RO missions, China's FengYun-3 and Europe's MetOp. For lapse rate tropopause, MetOp and FY3C show defference over subtropics. The difference between bending angle tropopause and lapse rate tropopause varies with seasons.
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Yueqiang Sun, Weihua Bai, Congliang Liu, Yan Liu, Qifei Du, Xianyi Wang, Guanglin Yang, Mi Liao, Zhongdong Yang, Xiaoxin Zhang, Xiangguang Meng, Danyang Zhao, Junming Xia, Yuerong Cai, and Gottfried Kirchengast
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The GNSS Occultation Sounder (GNOS) is one of the new-generation payloads on board the Chinese FengYun 3 (FY-3) series of operational meteorological satellites for sounding the Earth’s neutral atmosphere and ionosphere. FY-3C GNOS, on board the FY-3 series C satellite launched in September 2013, was designed to acquire setting and rising radio occultation (RO) data by using GNSS signals from both the Chinese BDS and the US GPS. This paper reviews the FY-3C GNOS mission.
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Atmos. Meas. Tech., 11, 2427–2440, https://doi.org/10.5194/amt-11-2427-2018, https://doi.org/10.5194/amt-11-2427-2018, 2018
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In this study, we focused on investigating the causes of the higher-order residual ionospheric error (RIE) in the GNSS RO events, by employing detailed along-ray-path analyses of atmospheric and ionospheric refractivities, impact parameter changes, and bending angles and RIEs under asymmetric and symmetric ionospheric structures. We found that the main causes of the high RIEs are a combination of physics-based effects, where asymmetric ionospheric conditions play the primary role.
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In this study we focus on evaluating zero-difference processing of BDS RO data vs. single-difference processing. From the statistics, average bias (and standard deviation) of the bending angle and refractivity profiles were found to be as small as about 0.05–0.2 % (and 0.7–1.6 %) over the upper troposphere and lower stratosphere, including for the GEO, IGSO, and MEO subsets. Zero differencing was found to perform slightly better, as may be expected from its lower vulnerability to noise.
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Atmos. Meas. Tech., 9, 781–792, https://doi.org/10.5194/amt-9-781-2016, https://doi.org/10.5194/amt-9-781-2016, 2016
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C. L. Liu, G. Kirchengast, K. Zhang, R. Norman, Y. Li, S. C. Zhang, J. Fritzer, M. Schwaerz, S. Q. Wu, and Z. X. Tan
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Atmosphere remote sensing using GNSS radio occultation provides a highly valuable basis for atmospheric and climate science. For the highest-quality demands, the Wegener Center set up a rigorous system for processing low-level measurement data. This excess-phase processing setup includes integrated quality control and uncertainty estimation. It was successfully evaluated and inter-compared, ensuring the capability of producing reliable long-term data records for climate applications.
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu
Atmos. Meas. Tech., 16, 5249–5259, https://doi.org/10.5194/amt-16-5249-2023, https://doi.org/10.5194/amt-16-5249-2023, 2023
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Homogenized atmospheric water vapor data are an important prerequisite for climate analysis. Compared to other techniques, GPS has an inherent homogeneity advantage but requires reprocessing and homogenization to eliminate impacts of applied strategy and observation environmental changes. The low-elevation cut-off angles are suggested for the best estimates of zenith tropospheric delay (ZTD) reprocessing time series when compared to homogenized radiosonde data or ERA5 reference time series.
Daniel J. Zawada, Kimberlee Robyn Dubé, Taran W. Warnock, Adam Edward Bourassa, Susann Tegtmeier, and Douglas A. Degenstein
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There remain large uncertainties in long term changes of stratospheric atmospheric temperatures. We have produced a more than 20 year time series of satellite-based temperature measurements from the OSIRIS instrument in the upper-middle stratosphere. The dataset is publicly available, and intended to be used to better understand changes in stratospheric temperatures.
James Barry, Stefanie Meilinger, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Christopher Schirrmeister, Rone Yousif, Tina Buchmann, Johannes Grabenstein, Hartwig Deneke, Jonas Witthuhn, Claudia Emde, Felix Gödde, Bernhard Mayer, Leonhard Scheck, Marion Schroedter-Homscheidt, Philipp Hofbauer, and Matthias Struck
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Measured power data from solar photovoltaic (PV) systems contain information about the state of the atmosphere. In this work, power data from PV systems in the Allgäu region in Germany were used to determine the solar irradiance at each location, using state-of-the-art simulation and modelling. The results were validated using concurrent measurements of the incoming solar radiation in each case. If applied on a wider scale, this algorithm could help improve weather and climate models.
Wan Wu, Xu Liu, Liqiao Lei, Xiaozhen Xiong, Qiguang Yang, Qing Yue, Daniel K. Zhou, and Allen M. Larar
Atmos. Meas. Tech., 16, 4807–4832, https://doi.org/10.5194/amt-16-4807-2023, https://doi.org/10.5194/amt-16-4807-2023, 2023
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We present a new operational physical retrieval algorithm that is used to retrieve atmospheric properties for each single field-of-view measurement of hyper-spectral IR sounders. The physical scheme includes a cloud-scattering calculation in its forward-simulation part. The data product generated using this algorithm has an advantage over traditional IR sounder data production algorithms in terms of improved spatial resolution and minimized error due to cloud contamination.
Zhen Li, Ad Stoffelen, Anton Verhoef, Zhixiong Wang, Jian Shang, and Honggang Yin
Atmos. Meas. Tech., 16, 4769–4783, https://doi.org/10.5194/amt-16-4769-2023, https://doi.org/10.5194/amt-16-4769-2023, 2023
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WindRAD (Wind Radar) is the first dual-frequency rotating fan-beam scatterometer in orbit. We observe non-linearity in the backscatter distribution. Therefore, higher-order calibration (HOC) is proposed, which removes the non-linearities per incidence angle. The combination of HOC and NOCant is discussed. It can remove not only the non-linearity but also the anomalous harmonic azimuth dependencies caused by the antenna rotation; hence the optimal winds can be achieved with this combination.
Marco Gabella, Martin Lainer, Daniel Wolfensberger, and Jacopo Grazioli
Atmos. Meas. Tech., 16, 4409–4422, https://doi.org/10.5194/amt-16-4409-2023, https://doi.org/10.5194/amt-16-4409-2023, 2023
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A still wind turbine observed with a fixed-pointing radar antenna has shown distinctive polarimetric signatures: the correlation coefficient between the two orthogonal polarization states was persistently equal to 1. The differential reflectivity and the radar reflectivity factors were also stable in time. Over 2 min (2000 Hz, 128 pulses were used; consequently, the sampling time was 64 ms), the standard deviation of the differential backscattering phase shift was only a few degrees.
Carsten Schmidt, Lisa Küchelbacher, Sabine Wüst, and Michael Bittner
Atmos. Meas. Tech., 16, 4331–4356, https://doi.org/10.5194/amt-16-4331-2023, https://doi.org/10.5194/amt-16-4331-2023, 2023
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Two identical instruments in a parallel setup were used to observe the mesospheric OH airglow for more than 10 years (2009–2020) at 47.42°N, 10.98°E. This allows unique analyses of data quality aspects and their impact on the obtained results. During solar cycle 24 the influence of the sun was strong (∼6 K per 100 sfu). A quasi-2-year oscillation (QBO) of ±1 K is observed mainly during the maximum of the solar cycle. Unlike the stratospheric QBO the variation has a period of or below 24 months.
Andreas Wagner, Christian Chwala, Maximilian Graf, Julius Polz, Llorenç Lliso, José Alberto Lahuerta, and Harald Kunstmann
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-175, https://doi.org/10.5194/amt-2023-175, 2023
Revised manuscript accepted for AMT
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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 the most important processing step. We investigate the usage of rainfall information from MSG SEVIRI for this task, compare these methods to existing methods, and finally combined both approaches. The results show advantages for SEVIRI based methods for light rain and poor performing CMLs. Our newly developed combination reveals the best overall performance.
Kamil Mroz, Alessandro Battaglia, and Ann M. Fridlind
EGUsphere, https://doi.org/10.5194/egusphere-2023-2117, https://doi.org/10.5194/egusphere-2023-2117, 2023
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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.
Jason N. S. Cole, Howard W. Barker, Zhipeng Qu, Najda Villefranque, and Mark W. Shephard
Atmos. Meas. Tech., 16, 4271–4288, https://doi.org/10.5194/amt-16-4271-2023, https://doi.org/10.5194/amt-16-4271-2023, 2023
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Measurements from the EarthCARE satellite mission will be used to retrieve profiles of cloud and aerosol properties. These retrievals are combined with auxiliary information about surface properties and atmospheric state, e.g., temperature and water vapor. This information allows computation of 1D and 3D solar and thermal radiative transfer for small domains, which are compared with coincident radiometer observations to continually assess EarthCARE retrievals.
Anna Jurczyk, Katarzyna Ośródka, Jan Szturc, Magdalena Pasierb, and Agnieszka Kurcz
Atmos. Meas. Tech., 16, 4067–4079, https://doi.org/10.5194/amt-16-4067-2023, https://doi.org/10.5194/amt-16-4067-2023, 2023
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A data-processing algorithm, RainGRS Clim, has been developed to work on precipitation accumulations such as daily or monthly totals. The algorithm makes the most of additional opportunities: access to high-quality data that are not operationally available and greater efficiency of the algorithms for data quality control and merging for longer accumulations. Monthly accumulations estimated by RainGRS Clim were found to be significantly more reliable than accumulations generated operationally.
Xiaozhen Xiong, Xu Liu, Robert Spurr, Ming Zhao, Qiguang Yang, Wan Wu, and Liqiao Lei
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-159, https://doi.org/10.5194/amt-2023-159, 2023
Preprint under review for AMT
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The term “hotspot” refers to the sharp increase of 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 developed an improved hotspot BRDF model that converges much faster and was tested in a model.
Sophie Rosenburg, Charlotte Lange, Evelyn Jäkel, Michael Schäfer, André Ehrlich, and Manfred Wendisch
Atmos. Meas. Tech., 16, 3915–3930, https://doi.org/10.5194/amt-16-3915-2023, https://doi.org/10.5194/amt-16-3915-2023, 2023
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Snow layer melting and melt pond formation on Arctic sea ice are important seasonal processes affecting the surface reflection and energy budget. Sea ice reflectivity was surveyed by airborne imaging spectrometers in May–June 2017. Adapted retrieval approaches were applied to find snow layer liquid water fraction, snow grain effective radius, and melt pond depth. The retrievals show the potential and limitations of spectral airborne imaging to map melting snow layer and melt pond properties.
Sunil Baidar, Timothy J. Wagner, David D. Turner, and W. Alan Brewer
Atmos. Meas. Tech., 16, 3715–3726, https://doi.org/10.5194/amt-16-3715-2023, https://doi.org/10.5194/amt-16-3715-2023, 2023
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This paper provides a new method to retrieve wind profiles from coherent Doppler lidar (CDL) measurements. It takes advantage of layer-to-layer correlation in wind profiles to provide continuous profiles of up to 3 km by filling in the gaps where the CDL signal is too small to retrieve reliable results by itself. Comparison with the current method and collocated radiosonde wind measurements showed excellent agreement with no degradation in results where the current method gives valid results.
Jake J. Gristey, K. Sebastian Schmidt, Hong Chen, Daniel R. Feldman, Bruce C. Kindel, Joshua Mauss, Mathew van den Heever, Maria Z. Hakuba, and Peter Pilewskie
Atmos. Meas. Tech., 16, 3609–3630, https://doi.org/10.5194/amt-16-3609-2023, https://doi.org/10.5194/amt-16-3609-2023, 2023
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The concept of a satellite-based camera is demonstrated for sampling the angular distribution of outgoing radiance from Earth needed to generate data products for new radiation budget spectral channels.
Lusheng Liang, Wenying Su, Sergio Sejas, Zachary A. Eitzen, and Norman G. Loeb
EGUsphere, https://doi.org/10.5194/egusphere-2023-1670, https://doi.org/10.5194/egusphere-2023-1670, 2023
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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 resulted global mean of instantaneous SW and LW fluxes are changed by less than 0.5 Wm-2 with regional differences can be as large as 2.0 Wm-2.
Alex Meredith, Stephen Leroy, Lucy Halperin, and Kerri Cahoy
Atmos. Meas. Tech., 16, 3345–3361, https://doi.org/10.5194/amt-16-3345-2023, https://doi.org/10.5194/amt-16-3345-2023, 2023
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We developed a new efficient algorithm leveraging orbital dynamics to collocate radio occultation soundings with microwave radiance soundings. This new algorithm is 99 % accurate and is much faster than traditional collocation-finding approaches. Speeding up collocation finding is useful for calibrating and validating microwave radiometers and for data assimilation into numerical weather prediction models. Our algorithm can also be used to predict collocation yield for new satellite missions.
René Sedlak, Andreas Welscher, Patrick Hannawald, Sabine Wüst, Rainer Lienhart, and Michael Bittner
Atmos. Meas. Tech., 16, 3141–3153, https://doi.org/10.5194/amt-16-3141-2023, https://doi.org/10.5194/amt-16-3141-2023, 2023
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We show that machine learning can help in classifying images of the OH* airglow, a thin layer in the middle atmosphere (ca. 86 km height) emitting infrared radiation, in an efficient way. By doing this,
dynamicepisodes of strong movement in the OH* airglow caused predominantly by waves can be extracted automatically from large data sets. Within these dynamic episodes, turbulent wave breaking can also be found. We use these observations of turbulence to derive the energy released by waves.
Roberto Cremonini, Tanel Voormansik, Piia Post, and Dmitri Moisseev
Atmos. Meas. Tech., 16, 2943–2956, https://doi.org/10.5194/amt-16-2943-2023, https://doi.org/10.5194/amt-16-2943-2023, 2023
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Extreme rainfall for a specific location is commonly evaluated when designing stormwater management systems. This study investigates the use of quantitative precipitation estimations (QPEs) based on polarimetric weather radar data, without rain gauge corrections, to estimate 1 h rainfall total maxima in Italy and Estonia. We show that dual-polarization weather radar provides reliable QPEs and effective estimations of return periods for extreme rainfall in climatologically homogeneous regions.
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 Brooke
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-95, https://doi.org/10.5194/amt-2023-95, 2023
Revised manuscript accepted for AMT
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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 of turbulence. It is evaluated with 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.
Andrea Camplani, Daniele Casella, Paolo Sanò, and Giulia Panegrossi
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-94, https://doi.org/10.5194/amt-2023-94, 2023
Revised manuscript accepted for AMT
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A new snowfall retrieval algorithm developed especially for high latitude environmental conditions and based on Advanced Technology Microwave Sounder (ATMS) observations is described. The algorithm exploits ATMS low-frequency channels to retrieve the surface emissivity and compute the clear-sky brightness temperature, to highlight the snowfall signature. This information is used in a neural network based snowfall retrieval, trained against Cloud Profiling Radar snowfall products.
Vinícius Ludwig-Barbosa, Joel Rasch, Thomas Sievert, Anders Carlström, Mats I. Pettersson, Viet Thuy Vu, and Jacob Christensen
Atmos. Meas. Tech., 16, 1849–1864, https://doi.org/10.5194/amt-16-1849-2023, https://doi.org/10.5194/amt-16-1849-2023, 2023
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In this paper, the back-propagation method's capabilities and limitations regarding the location of irregularity regions in the ionosphere, e.g. equatorial plasma bubbles, are evaluated. The assessment was performed with simulations in which different scenarios were assumed. The results showed that the location estimate is possible if the amplitude of the ionospheric disturbance is stronger than the instrument noise level. Further, multiple patches can be located if regions are well separated.
Lars Norin
Atmos. Meas. Tech., 16, 1789–1801, https://doi.org/10.5194/amt-16-1789-2023, https://doi.org/10.5194/amt-16-1789-2023, 2023
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The atmosphere can cause radar beams to bend more or less towards the ground. When the atmosphere differs from standard atmospheric conditions, the propagation is considered anomalous. Radars affected by anomalous propagation can observe ground clutter far beyond the radar horizon. Here, 4.5 years' worth of data from five operational Swedish weather radars are presented. Analyses of the data reveal a strong seasonal cycle and weaker diurnal cycle in ground clutter from across nearby waters.
Mathieu Ratynski, Sergey Khaykin, Alain Hauchecorne, Robin Wing, Jean-Pierre Cammas, Yann Hello, and Philippe Keckhut
Atmos. Meas. Tech., 16, 997–1016, https://doi.org/10.5194/amt-16-997-2023, https://doi.org/10.5194/amt-16-997-2023, 2023
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Aeolus is the first spaceborne wind lidar providing global wind measurements since 2018. This study offers a comprehensive analysis of Aeolus instrument performance, using ground-based wind lidars and meteorological radiosondes, at tropical and mid-latitudes sites. The analysis allows assessing the long-term evolution of the satellite's performance for more than 3 years. The results will help further elaborate the understanding of the error sources and the behavior of the Doppler wind lidar.
Anne-Claire Billault-Roux, Gionata Ghiggi, Louis Jaffeux, Audrey Martini, Nicolas Viltard, and Alexis Berne
Atmos. Meas. Tech., 16, 911–940, https://doi.org/10.5194/amt-16-911-2023, https://doi.org/10.5194/amt-16-911-2023, 2023
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Better understanding and modeling snowfall properties and processes is relevant to many fields, ranging from weather forecasting to aircraft safety. Meteorological radars can be used to gain insights into the microphysics of snowfall. In this work, we propose a new method to retrieve snowfall properties from measurements of radars with different frequencies. It relies on an original deep-learning framework, which incorporates knowledge of the underlying physics, i.e., electromagnetic scattering.
Chia-Lun Tsai, Kwonil Kim, Yu-Chieng Liou, and GyuWon Lee
Atmos. Meas. Tech., 16, 845–869, https://doi.org/10.5194/amt-16-845-2023, https://doi.org/10.5194/amt-16-845-2023, 2023
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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.
Simone Kotthaus, Juan Antonio Bravo-Aranda, Martine Collaud Coen, Juan Luis Guerrero-Rascado, Maria João Costa, Domenico Cimini, Ewan J. O'Connor, Maxime Hervo, Lucas Alados-Arboledas, María Jiménez-Portaz, Lucia Mona, Dominique Ruffieux, Anthony Illingworth, and Martial Haeffelin
Atmos. Meas. Tech., 16, 433–479, https://doi.org/10.5194/amt-16-433-2023, https://doi.org/10.5194/amt-16-433-2023, 2023
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Profile observations of the atmospheric boundary layer now allow for layer heights and characteristics to be derived at high temporal and vertical resolution. With novel high-density ground-based remote-sensing measurement networks emerging, horizontal information content is also increasing. This review summarises the capabilities and limitations of various sensors and retrieval algorithms which need to be considered during the harmonisation of data products for high-impact applications.
Michael Frech, Cornelius Hald, Maximilian Schaper, Bertram Lange, and Benjamin Rohrdantz
Atmos. Meas. Tech., 16, 295–309, https://doi.org/10.5194/amt-16-295-2023, https://doi.org/10.5194/amt-16-295-2023, 2023
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Weather radar data are the backbone of a lot of meteorological products. In order to obtain a better low-level coverage with radar data, additional systems have to be included. The frequency range in which radars are allowed to operate is limited. A potential radar-to-radar interference has to be avoided. The paper derives guidelines on how additional radars can be included into a C-band weather radar network and how interferences can be avoided.
Yeeun Lee, Myoung-Hwan Ahn, Mina Kang, and Mijin Eo
Atmos. Meas. Tech., 16, 153–168, https://doi.org/10.5194/amt-16-153-2023, https://doi.org/10.5194/amt-16-153-2023, 2023
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This study aims to verify that a partly defective hyperspectral measurement can be successfully reproduced with concise machine learning models coupled with principal component analysis. Evaluation of the approach is performed with radiances and retrieval results of ozone and cloud properties. Considering that GEMS is the first geostationary UV–VIS hyperspectral spectrometer, we expect our findings can be introduced further to similar geostationary environmental instruments to be launched soon.
Mathias Gergely, Maximilian Schaper, Matthias Toussaint, and Michael Frech
Atmos. Meas. Tech., 15, 7315–7335, https://doi.org/10.5194/amt-15-7315-2022, https://doi.org/10.5194/amt-15-7315-2022, 2022
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This study presents the new vertically pointing birdbath scan of the German C-band radar network, which provides high-resolution profiles of precipitating clouds above all DWD weather radars since the spring of 2021. Our AI-based postprocessing method for filtering and analyzing the recorded radar data offers a unique quantitative view into a wide range of precipitation events from snowfall over stratiform rain to intense frontal showers and will be used to complement DWD's operational services.
Kenneth A. Brown and Thomas G. Herges
Atmos. Meas. Tech., 15, 7211–7234, https://doi.org/10.5194/amt-15-7211-2022, https://doi.org/10.5194/amt-15-7211-2022, 2022
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The character of the airflow around and within wind farms has a significant impact on the energy output and longevity of the wind turbines in the farm. For both research and control purposes, accurate measurements of the wind speed are required, and these are often accomplished with remote sensing devices. This article pertains to a field experiment of a lidar mounted to a wind turbine and demonstrates three data post-processing techniques with efficacy at extracting useful airflow information.
Xavier Calbet, Cintia Carbajal Henken, Sergio DeSouza-Machado, Bomin Sun, and Tony Reale
Atmos. Meas. Tech., 15, 7105–7118, https://doi.org/10.5194/amt-15-7105-2022, https://doi.org/10.5194/amt-15-7105-2022, 2022
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Water vapor concentration in the atmosphere at small scales (< 6 km) is considered. The measurements show Gaussian random field behavior following Kolmogorov's theory of turbulence two-thirds law. These properties can be useful when estimating the water vapor variability within a given observed satellite scene or when different water vapor measurements have to be merged consistently.
Qiuyu Chen, Konstantin Ntokas, Björn Linder, Lukas Krasauskas, Manfred Ern, Peter Preusse, Jörn Ungermann, Erich Becker, Martin Kaufmann, and Martin Riese
Atmos. Meas. Tech., 15, 7071–7103, https://doi.org/10.5194/amt-15-7071-2022, https://doi.org/10.5194/amt-15-7071-2022, 2022
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Observations of phase speed and direction spectra as well as zonal mean net gravity wave momentum flux are required to understand how gravity waves reach the mesosphere–lower thermosphere and how they there interact with background flow. To this end we propose flying two CubeSats, each deploying a spatial heterodyne spectrometer for limb observation of the airglow. End-to-end simulations demonstrate that individual gravity waves are retrieved faithfully for the expected instrument performance.
Simon Pfreundschuh, Ingrid Ingemarsson, Patrick Eriksson, Daniel A. Vila, and Alan J. P. Calheiros
Atmos. Meas. Tech., 15, 6907–6933, https://doi.org/10.5194/amt-15-6907-2022, https://doi.org/10.5194/amt-15-6907-2022, 2022
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We used methods from the field of artificial intelligence to train an algorithm to estimate rain from satellite observations. In contrast to other methods, our algorithm not only estimates rain, but also the uncertainty of the estimate. Using independent measurements from rain gauges, we show that our method performs better than currently available methods and that the provided uncertainty estimates are reliable. Our method makes satellite-based measurements of rain more accurate and reliable.
Maximilian Schaper, Michael Frech, David Michaelis, Cornelius Hald, and Benjamin Rohrdantz
Atmos. Meas. Tech., 15, 6625–6642, https://doi.org/10.5194/amt-15-6625-2022, https://doi.org/10.5194/amt-15-6625-2022, 2022
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C-band weather radar data are commonly compromised by radio frequency interference (RFI) from external sources. It is not possible to separate a superimposed interference signal from the radar data. Therefore, the best course of action is to shut down RFI sources as quickly as possible. An automated RFI detection algorithm has been developed. Since its implementation, persistent RFI sources are eliminated much more quickly, while the number of short-lived RFI sources keeps steadily increasing.
Oliver Lux, Benjamin Witschas, Alexander Geiß, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Stephan Rahm, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 6467–6488, https://doi.org/10.5194/amt-15-6467-2022, https://doi.org/10.5194/amt-15-6467-2022, 2022
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We discuss the influence of different quality control schemes on the results of Aeolus wind product validation and present statistical tools for ensuring consistency and comparability among diverse validation studies with regard to the specific error characteristics of the Rayleigh-clear and Mie-cloudy winds. The developed methods are applied for the validation of Aeolus winds against an ECMWF model background and airborne wind lidar data from the Joint Aeolus Tropical Atlantic Campaign.
Alex T. Chartier, Thomas R. Hanley, and Daniel J. Emmons
Atmos. Meas. Tech., 15, 6387–6393, https://doi.org/10.5194/amt-15-6387-2022, https://doi.org/10.5194/amt-15-6387-2022, 2022
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This is a study of anomalous long-distance (>1000 km) radio propagation that was identified in United States Coast Guard monitors of automatic identification system (AIS) shipping transmissions at 162 MHz. Our results indicate this long-distance propagation is caused by dense sporadic E layers in the daytime ionosphere, which were observed by nearby ionosondes at the same time. This finding is surprising because it indicates these sporadic E layers may be far more dense than previously thought.
Cited articles
Astafyeva, E., Zakharenkova, I., and Förster, M.: Ionospheric response to the
2015 St. Patrick's Day storm: A global multi-instrumental overview, J.
Geophys. Res.-Space, 120, 9023–9037, 2015.
Bai, W. H., Sun, Y. Q., Du, Q. F., Yang, G. L., Yang, Z. D., Zhang, P., Bi,
Y. M., Wang, X. Y., Cheng, C., and Han, Y.: An introduction to the FY3 GNOS
instrument and mountain-top tests, Atmos. Meas. Tech., 7, 1817–1823,
https://doi.org/10.5194/amt-7-1817-2014, 2014.
Balan, N. and Rao, P. B.: Dependence of ionospheric response on the local
time of sudden commencement and the intensity of geomagnetic storms, J.
Atmos. Terr. Phys., 52, 269–275, 1990.
Balan, N., Yamamoto, M., and Liu, J. Y.: New aspects of thermospheric and
ionospheric storms revealed by CHAMP, J. Geophys. Res.,
116, A07305, https://doi.org/10.1029/2010JA016399, 2011.
BeiDou navigation satellite system signal in space interface control document
open service signal (Version 2.1): http://en.beidou.gov.cn/, last
access: November 2016.
Crowley, G., Hackert, C. L., Meier, R. R., Strickland, D. J., Paxton, L. J.,
Pi, X., Mannucci, A., Christensen, A. B., Morriston, D., Bust, G. S., Roble,
R. G., Curtis, N., and Wene, G.: Global thermosphere-ionosphere response to
onset of 20 November 2003 storm, J. of Geophys. Res., 111, A10S18,
https://doi.org/10.1029/2005JA011518, 2006.
Danilov, A. D.: F2-region response to geomagnetic disturbances, J. Atmos.
Sol.-Terr. Phy., 63, 441–449, 2001.
Fu, E. J., Zhang, K. F., Wu, F. L., Xu, X. H., and Marion, K. : An Evaluation
of GNSS Radio Occultation Technology for Australian Meteorology, Positioning,
6, 74–79, 2007.
Fuller-Rowell, T. J., Codrescu, M. V., Rishbeth, H., Moffett, R. J., and
Quegan, S.: On the seasonal response of thermosphere and ionosphere to
magnetic storms, J. Geophys. Res., 101, 2343–2353, https://doi.org/10.1029/95JA01614,
1996.
Garcia-Fernandez, M., Hernandez-Pajares, M., Juan, M., and Sanz, J.:
Improvement of ionospheric electron density estimation with GPSMET
occultations using Abel inversion and VTEC information, J. Geophys. Res.,
108, 1338–1345, https://doi.org/10.1029/2003JA009952, 2003.
Habarulema, J. B., Katamzi, Z. T., and Yizengaw, E.: A simultaneous study of
ionospheric parameters derived from FORMOSAT-3/COSMIC, GRACE, and CHAMP
missions over middle, low, and equatorial latitudes: Comparison with
ionosonde data, J. Geophys.l Res.-Space, 119, 7732–7744, 2014.
Habarulema, J. B. and Carelse, S. A.: Long-term analysis between radio
occultation and ionosonde peak electron density and height during geomagnetic
storms, Geophys. Res. Lett., 43, 4106–4111, 2016.
Hajj, G. A. and Remans, L.: Ionospheric electron density profiles obtained
with the global positioning system: Results from the GPS/MET experiment,
Radio Sci., 33, 175–190, 1998.
Hocke, K., Igarashi, K., Nakamura, M., Wilkinson, P., Wu, J., Pavelyev, A.,
and Wickert, J.: GIobal sounding of sporadic E layers by the GPS/MET radio
occultation experiment, J. Atmos. Sol.-Terr. Phy., 63, 1973–1980, 2001.
Jakowski, N., Wehrenpfennig, A., Heise, S., Reigber, Ch., and Lühr, H.:
GPS radio occultation measurements of the ionosphere from CHAMP: Early
results, Geophys. Res. Lett., 29, 2–4, 2002.
Jin, S., Estel, C., and Xie, F. (Eds.): GNSS remote sensing theory, methods
and applications, EARSel Series, Springer, Freek D., Netherlands, 2014.
Liao, M., Zhang, P., Yang, G.-L., Bi, Y.-M., Liu, Y., Bai, W.-H., Meng,
X.-G., Du, Q.-F., and Sun, Y.-Q.: Preliminary validation of the refractivity
from the new radio occultation sounder GNOS/FY-3C, Atmos. Meas. Tech., 9,
781–792, https://doi.org/10.5194/amt-9-781-2016, 2016.
Limberger, M., Hernández-Pajares, M., Aragón-Ángel, A., Altadill,
D., and Dettmering, D.: Long-term comparison of the ionospheric F2 layer
electron density peak derived from ionosonde data and Formosat-3/COSMIC
occultations, J. Space Weather Spac., 5, A21, https://doi.org/10.1051/swsc/2015023,
2015.
Liu, L. B., He, M. S., Wan, W. X., and Zhang, M. L.: Topside ionospheric
scale heights retrieved from Constellation Observing System for Meteorology,
Ionosphere, and Climate radio occultation measurements, J. Geophys.
Res.-Space, 113, 1429–1443, https://doi.org/10.1029/2008JA013490, 2008.
Liu, L. B., Zhao, B. Q., Wan, W. X., Ning, B. Q., Zhang, M. L., and He, M.
S.: Seasonal variations of the ionospheric electron densities retrieved from
Constellation Observing System for Meteorology, Ionosphere, and Climate
mission radio occultation measurements, J. Geophys. Res.-Space, 114, 1–11,
https://doi.org/10.1029/2008JA013819, 2009.
Liu, L. B., He, M. S, Yue, X. A., Ning, B. Q., and Wan, W. X.: Ionosphere
around equinoxes during low solar activity, J. Geophys. Res.-Space, 115,
1–10, https://doi.org/10.1029/2010JA015318, 2010.
Liu, L. B., Le, H. J., Chen, Y. D., He, M. S, Wan, W. X., and Yue, X. A.:
Features of the middle- and low-latitude ionosphere during solar minimum as
revealed from COSMIC radio occultation measurements, J. Geophys. Res.-Space,
116, 1161–1166, https://doi.org/10.1029/2011JA016691, 2011.
Lu, H. and Zou, Y.: Research on the global morphological features of spread F
based on GPS occultation observation, Journal of Guilin University of
Electronic Technology, 31, 508–512, 2011.
Mendilo, M.: Storms in the ionosphere: patterns and processes for total
electron content, Rev. Geophys., 44, 335–360, 2006.
Nava, B., Rodríguez-Zuluaga, J., Alazo-Cuartas, K., Kashcheyev, A.,
Migoya-Orué, Y., Radicella, S. M., Amory-Mazaudier, C., and Fleury, R.:,
Middle- and low-latitude ionosphere response to 2015 St. Patrick's Day
geomagnetic storm, J. Geophys. Res.-Space, 121, 3421–3438,
https://doi.org/10.1002/2015JA022299, 2016.
Richmond, A. and Lu, G.: Upper-atmospheric effects of magnetic storms: A
brief tutorial, J. Atmos. Sol.-Terr. Phys., 62, 1115–1127, 2000.
Schreiner, W, Sokolovskiy, S, Rocken, C, and Hunt, D.: Analysis and
validation of GPS/MET radio occultation data in the ionosphere, Radio Sci.,
34, 949–966, 1999.
Wang, S. Z., Zhu, G. W., Bai, W. H., Liu, C. L., Sun, Y. Q., Du, Q. F., Wang,
X. Y., Meng, X. G., Yang, G. L., Yang, Z. D., Zhang, X. X., Bi, Y. M., Wang,
D. W., Xia, J. M., Wu, D., Cai, Y. R., and Han, Y.: For the first time
fengyun3 C satellite-global navigation satellite system occultation sounder
achieved spaceborne Bei Dou system radio occultation, Acta Phys. Sin.-Ch.
Ed., 64, 9301, https://doi.org/10.7498/aps.64.089301, 2015.
Yang, G. L.: Ionospheric Radio Occultation by GNOS, Ph.D. thesis, University
of Chinese Academy of Science, China, 2015.
Yang, G. L., Sun, Y. Q., Bai, W. H., Zhang, X. X., Liu, C. L., Meng, X. G.,
Bi, Y. M., Wang, D. W., and Zhao, D. Y.: Validation results of NmF2 and hmF2
derived from ionospheric density profiles of GNOS on FY-3C satellite, Sci
China Tech Sci, 61, 1–12, https://doi.org/10.1007/s11431-017-9157-6, 2018.
Yang, J., Wu, Y., and Zhou, Y.: Research on Seismo-Ionospheric Anomalies
Using GPS Radio Occultation Data, J. Geodesy Geodynam., 28, 16–22, 2008.
Yue, X., Schreiner, W. S., Lei, J., Sokolovskiy, S. V., Rocken, C., Hunt, D.
C., and Kuo, Y.-H.: Error analysis of Abel retrieved electron density
profiles from radio occultation measurements, Ann. Geophys., 28, 217–222,
https://doi.org/10.5194/angeo-28-217-2010, 2010.
Yue, X., Schreiner, W., S., et al.: Evaluation of the orbit altitude electron
density estimation and its effect on the Abel inversion from radio
occultation measurements, Radio Sci., 46, 247–249, 2011.
Zhang, Q. W., Guo, J. S., Zhang, G. L., and Zheng, H.: Mid-and low-latitude
ionospheric responses to different type of magnetic storm, Chinese J.
Geophys.-Ch., 38, 581–589, 1995.
Zhang, X., Hu, X., and Zhang, C.: Ionospheric Response with Wenchuan Big
Earthquake by Occulted Data, GNSS World of China, 5, 1–5, 2008.
Zhao, B. Q., Wang, M., Wang, Y. G., Ren, Z. P., Yue, X. A., Zhu, J., Wan, W.
X., Ning, B. Q., Liu, J., and Xiong, B.: East-West Differences in F-region
Electron Density at Midlatitude: Evidence from the Far East Region, J.
Geophys. Res., 118, 542–553, https://doi.org/10.1029/2012JA018235, 2013.
Short summary
This study reports on the application of the FY3-C GNSS occultation sounder (GNOS) for assessing the global ionospheric response to magnetic storm events. We use the March 2015 magnetic storm event to demonstrate the reliability of NmF2 data derived from the instrument through comparisons with ground-based ionosonde observations. The analysis demonstrates the reliability of the GNSS radio occultation sounding instrument GNOS aboard the FY3-C satellite and validates its ionosphere products.
This study reports on the application of the FY3-C GNSS occultation sounder (GNOS) for assessing...
