Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4589-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4589-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Aug 2020
Research article |
| 25 Aug 2020
| 25 Aug 2020
Characteristics and performance of wind profiles as observed by the radar wind profiler network of China
Boming Liu
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
The State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
The State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Wei Gong
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Lijuan Shi
Meteorological observation Centre, Chinese Meteorological
Administration, Beijing 100081, China
Yong Zhang
Meteorological observation Centre, Chinese Meteorological
Administration, Beijing 100081, China
Yingying Ma
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
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The planetary boundary layer (PBL) is the lowest part of the troposphere, and boundary layer height (BLH) is the depth of the PBL and is of critical importance to the dispersion of air pollution. The study presents the first near-global BLH climatology by using high-resolution (5-10 m) radiosonde measurements. The variations in BLH exhibit large spatial and temporal dependence, with a peak at 17:00 local solar time. The most promising reanalysis product is ERA-5 in terms of modeling BLH.
Yingying Ma, Yang Zhu, Boming Liu, Hui Li, Shikuan Jin, Yiqun Zhang, Ruonan Fan, and Wei Gong
Atmos. Chem. Phys., 21, 17003–17016, https://doi.org/10.5194/acp-21-17003-2021, https://doi.org/10.5194/acp-21-17003-2021, 2021
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The vertical distribution of the aerosol extinction coefficient (EC) measured by lidar systems has been used to retrieve the profile of particle matter with a diameter of less than 2.5 μm (PM2.5). However, the traditional linear model cannot consider the influence of multiple meteorological variables sufficiently, which then causes low inversion accuracy. In this study, the machine learning algorithms which can input multiple features are used to solve this constraint.
Seoung Soo Lee, Kyung-Ja Ha, Manguttathil Gopalakrishnan Manoj, Mohammad Kamruzzaman, Hyungjun Kim, Nobuyuki Utsumi, Youtong Zheng, Byung-Gon Kim, Chang Hoon Jung, Junshik Um, Jianping Guo, Kyoung Ock Choi, and Go-Un Kim
Atmos. Chem. Phys., 21, 16843–16868, https://doi.org/10.5194/acp-21-16843-2021, https://doi.org/10.5194/acp-21-16843-2021, 2021
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Using a modeling framework, a midlatitude stratocumulus cloud system is simulated. It is found that cloud mass in the system becomes very low due to interactions between ice and liquid particles compared to that in the absence of ice particles. It is also found that interactions between cloud mass and aerosols lead to a reduction in cloud mass in the system, and this is contrary to an aerosol-induced increase in cloud mass in the absence of ice particles.
Ifeanyichukwu C. Nduka, Chi-Yung Tam, Jianping Guo, and Steve Hung Lam Yim
Atmos. Chem. Phys., 21, 13443–13454, https://doi.org/10.5194/acp-21-13443-2021, https://doi.org/10.5194/acp-21-13443-2021, 2021
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This study analyzed the nature, mechanisms and drivers for hot-and-polluted episodes (HPEs) in the Pearl River Delta, China. A total of eight HPEs were identified and can be grouped into three clusters of HPEs that were respectively driven (1) by weak subsidence and convection induced by approaching tropical cyclones, (2) by calm conditions with low wind speed in the lower atmosphere and (3) by the combination of both aforementioned conditions.
Hui Li, Boming Liu, Xin Ma, Shikuan Jin, Yingying Ma, Yuefeng Zhao, and Wei Gong
Atmos. Meas. Tech., 14, 5977–5986, https://doi.org/10.5194/amt-14-5977-2021, https://doi.org/10.5194/amt-14-5977-2021, 2021
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Radiosonde (RS) is widely used to detect the vertical structures of the planetary boundary layer (PBL), and numerous methods have been proposed for retrieving PBL height (PBLH) from RS data. However, an algorithm that is suitable under all atmospheric conditions does not exist. This study evaluates the performance of four common PBLH algorithms under different thermodynamic stability conditions based on RS data.
Xin Lu, Feiyue Mao, Daniel Rosenfeld, Yannian Zhu, Zengxin Pan, and Wei Gong
Atmos. Chem. Phys., 21, 11979–12003, https://doi.org/10.5194/acp-21-11979-2021, https://doi.org/10.5194/acp-21-11979-2021, 2021
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In this paper, a novel method for retrieving cloud base height and geometric thickness is developed and applied to produce a global climatology of boundary layer clouds with a high accuracy. The retrieval is based on the 333 m resolution low-level cloud distribution as obtained from the CALIPSO lidar data. The main part of the study describes the variability of cloud vertical geometrical properties in space, season, and time of the day. Resultant new insights are presented.
Tianmeng Chen, Zhanqing Li, Ralph A. Kahn, Chuanfeng Zhao, Daniel Rosenfeld, Jianping Guo, Wenchao Han, and Dandan Chen
Atmos. Chem. Phys., 21, 6199–6220, https://doi.org/10.5194/acp-21-6199-2021, https://doi.org/10.5194/acp-21-6199-2021, 2021
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A convective cloud identification process is developed using geostationary satellite data from Himawari-8.
Convective cloud fraction is generally larger before noon and smaller in the afternoon under polluted conditions, but megacities and complex topography can influence the pattern.
A robust relationship between convective cloud and aerosol loading is found. This pattern varies with terrain height and is modulated by varying thermodynamic, dynamical, and humidity conditions during the day.
Jianping Guo, Boming Liu, Wei Gong, Lijuan Shi, Yong Zhang, Yingying Ma, Jian Zhang, Tianmeng Chen, Kaixu Bai, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Chem. Phys., 21, 2945–2958, https://doi.org/10.5194/acp-21-2945-2021, https://doi.org/10.5194/acp-21-2945-2021, 2021
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Vertical wind profiles are crucial to a wide range of atmospheric disciplines. Aeolus is the first satellite mission to directly observe wind profile information on a global scale. However, Aeolus wind products over China have thus far not been evaluated by in situ comparison. This work is expected to let the public and science community better know the Aeolus wind products and to encourage use of these valuable data in future research and applications.
Boming Liu, Jianping Guo, Wei Gong, Yong Zhang, Lijuan Shi, Yingying Ma, Jian Li, Xiaoran Guo, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-41, https://doi.org/10.5194/acp-2021-41, 2021
Revised manuscript not accepted
Short summary
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Vertical wind profiles are crucial to a wide range of atmospheric disciplines. Aeolus is the first satellite mission to directly observe wind profile information on a global scale. However, Aeolus wind products over China were thus far not evaluated by in-situ comparison. This work is expected to let the public and science community better know the Aeolus wind products and to encourage use of these valuable data in future researches and applications.
Kaixu Bai, Ke Li, Chengbo Wu, Ni-Bin Chang, and Jianping Guo
Earth Syst. Sci. Data, 12, 3067–3080, https://doi.org/10.5194/essd-12-3067-2020, https://doi.org/10.5194/essd-12-3067-2020, 2020
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PM2.5 data from the national air quality monitoring network in China suffered from significant inconsistency and inhomogeneity issues. To create a coherent PM2.5 concentration dataset to advance our understanding of haze pollution and its impact on weather and climate, we homogenized this PM2.5 dataset between 2015 and 2019 after filling in the data gaps. The homogenized PM2.5 data is found to better characterize the variation of aerosol in space and time compared to the original dataset.
Yang Yang, Min Chen, Xiujuan Zhao, Dan Chen, Shuiyong Fan, Jianping Guo, and Shaukat Ali
Atmos. Chem. Phys., 20, 12527–12547, https://doi.org/10.5194/acp-20-12527-2020, https://doi.org/10.5194/acp-20-12527-2020, 2020
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This study analyzed the impacts of aerosol–radiation interaction on radiation and meteorological forecasts using the offline coupling of WRF and high-frequency updated AOD simulated by WRF-Chem. The results revealed that aerosol–radiation interaction had a positive influence on the improvement of predictive accuracy, including 2 m temperature (~ 73.9 %) and horizontal wind speed (~ 7.8 %), showing potential prospects for its application in regional numerical weather prediction in northern China.
Ruqian Miao, Qi Chen, Yan Zheng, Xi Cheng, Yele Sun, Paul I. Palmer, Manish Shrivastava, Jianping Guo, Qiang Zhang, Yuhan Liu, Zhaofeng Tan, Xuefei Ma, Shiyi Chen, Limin Zeng, Keding Lu, and Yuanhang Zhang
Atmos. Chem. Phys., 20, 12265–12284, https://doi.org/10.5194/acp-20-12265-2020, https://doi.org/10.5194/acp-20-12265-2020, 2020
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In this study we evaluated the model performances for simulating secondary inorganic aerosol (SIA) and organic aerosol (OA) in PM2.5 in China against comprehensive datasets. The potential biases from factors related to meteorology, emission, chemistry, and atmospheric removal are systematically investigated. This study provides a comprehensive understanding of modeling PM2.5, which is important for studies on the effectiveness of emission control strategies.
Lianfa Lei, Zhenhui Wang, Jiang Qin, Lei Zhu, Rui Chen, Jianping Lu, and Yingying Ma
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-283, https://doi.org/10.5194/amt-2020-283, 2020
Revised manuscript not accepted
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This paper proposes a new method of Multichannel Microwave Radiometer 3-D antenna pattern measurement by observing the sun. The antenna pattern derived from the solar observation was compared with the result of the far-field measurement with a point source in the microwave anechoic chamber at 30 GHz, the maximum error of the beamwidth is less than 0.1°, which showed that this pattern matched well to the pattern measurement using a point source in the microwave anechoic chamber.
B. Chen, S. Shi, W. Gong, J. Sun, B. Chen, K. Guo, L. Du, J. Yang, Q. Xu, and S. Song
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 501–505, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-501-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-501-2020, 2020
B. Wang, S. Song, W. Gong, S. Shi, B. Chen, J. Yang, L. Du, and J. Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 547–551, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-547-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-547-2020, 2020
S. Jin, Y. Ma, W. Gong, and M. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 807–812, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-807-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-807-2020, 2020
Cited articles
Angevine, W. M., White, A. B., and Avery, S. K.: Boundary-layer depth and
entrainment zone characterization with a boundary-layer profiler,
Bound.-Lay. Meteorol., 68, 375–385,
https://doi.org/10.1007/BF00706797, 1994.
Benjamin, S. G., Schwartz, B. E., Szoke, E. J., and Koch, S. E.: The value of
wind profiler data in US weather forecasting,
B. Am. Meteorol. Soc., 85, 1871–1886. 2004.
Bentamy, A., Queffeulou, P., Quilfen, Y., and Katsaros, K.: Ocean surface wind fields estimated from satellite active and passive microwave instruments, IEEE T. Geosci. Remote, 37, 2469–2486, https://doi.org/10.1109/36.789643, 1999.
Bianco, L., Wilczak, J. M., and White, A. B.: Convective boundary layer
depth estimation from wind profilers: Statistical comparison between an
automated algorithm and expert estimations,
J. Atmos. Ocean. Tech., 25, 1397–1413,
https://doi.org/10.1175/2008jtecha981.1, 2008.
Chipilski, H. G., Wang, X., and Parsons, D. B.: Impact of Assimilating PECAN
Profilers on the Prediction of Bore-Driven Nocturnal Convection: A
Multi-Scale Forecast Evaluation for the 6 July 2015 Case Study, Mon.
Weather Rev., 148, 1147–1175, https://doi.org/10.1175/MWR-D-19-0171.1, 2019.
Constantinescu, E. M., Zavala, V. M., Rocklin, M., Lee, S., and Anitescu,
M.: Unit commitment with wind power generation: integrating wind forecast
uncertainty and stochastic programming (No. ANL/MCS-TM-309), Argonne
National Lab. (ANL), Argonne, IL, United States, 2009.
Dibbern, J., Monna, W., Nash, J., and Peters, G.: COST Action 76-final report.
Development of VHF/UHF wind profilers and vertical sounders for use in
European observing systems, European Commission, 350 pp., 2001.
Dolman, B. K., Reid, I. M., and Tingwell, C.: Stratospheric tropospheric
wind profiling radars in the Australian network, Earth Planet. Space,
70, 170, https://doi.org/10.1186/s40623-018-0944-z, 2018.
Dong, B. J., Zhang, Y., Xu, A. L., and Fu, Z. J.: Comparative analysis on
wind data from radar wind profiler and balloon sounding, Journal of Yunnan
University, 1, 18–25, 2011 (in Chinese).
Du, Y., Zhang, Q., Ying, Y., and Yang, Y.: Characteristics of low-level jets
in Shanghai during the 2008–2009 warm seasons as inferred from radar wind
profiler data, J. Meteorol. Soc. Japan. Ser. II,
90, 891–903, 2012.
ECWMF: ERA5 hourly data on pressure levels from 1979 to present, https://doi.org/10.24381/cds.bd0915c6, 2018.
Fan, J., Yuan, T., Comstock, J. M., Ghan, S., Khain, A., Leung, L. R., Li, Z.,
Martins, V. J., and Ovchinnikov, M.: Dominant role by vertical wind shear in
regulating aerosol effects on deep convective clouds, J. Geophys.
Res.-Atmos., 114,
https://doi.org/10.1029/2009JD012352, 2009.
Friedl, M., Gray, J., and Sulla-Menashe, D.: MCD12Q2 MODIS/Terra+Aqua Land
Cover Dynamics Yearly L3 Global 500m SIN Grid V006 [Data set], NASA EOSDIS
Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD12Q2.006,
2019.
Guo, J., Deng, M., Lee, S. S., Wang, F., Li, Z., Zhai, P., Liu, H., Lv, W., Yao, W.,
and Li, X.: Delaying precipitation and lightning by air pollution over the
Pearl River Delta. Part I: Observational analyses, J. Geophys.
Res.-Atmos., 121, 6472–6488, https://doi.org/10.1002/2015JD023257, 2016a.
Guo, J., He, J., Liu, H., Miao, Y, Liu, H., and Zhai, P.: Impact of various
emission control schemes on air quality using WRF-Chem during APEC China
2014, Atmos. Environ., 140, 311–319,
https://doi.org/10.1016/j.atmosenv.2016.05.046, 2016b.
Guo, J., Su, T., Chen, D., Wang, J., Li, Z., Lv, Y., Guo, X., Liu, H., Cribb, M.,
and Zhai, P.: Declining summertime local-scale precipitation frequency over
China and the United States, 1981–2012: The disparate roles of aerosols,
Geophys. Res. Lett., 46, 13281–13289, https://doi.org/10.1029/2019GL085442, 2019.
Guo, J., Yan, Y., Chen, D., Lv, Y., Han, Y., Guo, X., Liu, L., Miao, Y.,
Chen, T., Nie, J., and Zhai, P.: The response of warm-season precipitation
extremes in China to global warming: an observational perspective from
radiosonde measurements, Clim. Dynam., 54, 3977–3989, https://doi.org/10.1007/s00382-020-05216-3, 2020.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.‐N.: The ERA5 global reanalysis,
Q. J. Roy. Meteorol. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2020.
Hoffmann, L., Günther, G., Li, D., Stein, O., Wu, X., Griessbach, S., Heng, Y., Konopka, P., Müller, R., Vogel, B., and Wright, J. S.: From ERA-Interim to ERA5: the considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations, Atmos. Chem. Phys., 19, 3097–3124, https://doi.org/10.5194/acp-19-3097-2019, 2019.
Holleman, I.: Quality control and verification of weather radar wind
profiles. J. Atmos. Ocean. Tech., 22, 1541–1550, 2005.
Hu, M. and Li, M.: The development and technologic status of wind profiling
radar, Scientia Meteorologica Sinica, 30, 724–729, 2010 (in Chinese).
Huuskonen, A., Saltikoff, E., and Holleman, I.: The operational weather
radar network in Europe, B. Am. Meteorol. Soc.,
95, 897–907, 2014.
Ishihara, M., Kato, Y., Abo, T., Kobayashi, K., and Izumikawa, Y.:
Characteristics and performance of the operational wind profiler network of
the Japan Meteorological Agency, J. Meteorol. Soc.
Japan. Ser. II, 84, 1085–1096, 2006.
Kottayil, A., Mohanakumar, K., Samson, T., Rebello, R., Manoj, M. G.,
Varadarajan, R., Santosh, K. R., Mohanan, P., and Vasudevan, K.: Validation of 205 MHz radar wind
profiler located at Cochin, India, using radiosonde wind measurements, Radio
Sci., 51, 106–117, 2016.
Lee, S.-S., Guo, J., and Li, Z.: Delaying precipitation by air pollution
over Pearl River Delta. Part 2: model simulations,
J. Geophys. Res.-Atmos., 121, 11739–11760, https://doi.org/10.1002/2015JD024362, 2016.
LeMone, M. A., Tewari, M., Chen, F., and Dudhia, J.: Objectively determined
fair-weather CBL depths in the ARW-WRF model and their comparison to
CASES-97 observations, Mon. Weather Rev., 141, 30–54, 2013.
LeMone, M. A., Angevine, W. M., Bretherton, C. S., Chen, F., Dudhia, J.,
Fedorovich, E., Katsaros, K. B., Lenschow, D. H., Mahrt, L., Patton, E. G., Sun, J.,
Tjernström, M., and Weil, J.: 100 Years of Progress in Boundary Layer
Meteorology, Meteorol.
Monogr., 59, 9.1–9.85, https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0013.1,
2018.
Li, Z., Wang, Y., Guo, J., Zhao, C., Cribb, M. C., Dong, X., Fan, J., Gong, D.,
Huang, J., Jiang, M., Jiang, Y., Lee, S.-S., Li, H., Li, J., Liu, J., Qian, Y.,
Rosenfeld, D., Shan, S., Sun, Y., Wang, H., Xin, J., Yan, X., Yang, X., Yang, X.,
Zhang, F., and Zheng, Y.: East Asian study of tropospheric aerosols and their
impact on regional clouds, precipitation, and climate (EAST-AIRCPC), J. Geophys. Res.-Atmos., 124, 13026–13054,
https://doi.org/10.1029/2019JD030758, 2020.
Liu, B., Ma, Y., Gong, W., Zhang, M., and Yang, J.: Study of continuous air
pollution in winter over Wuhan based on ground-based and satellite
observations, Atmos. Poll. Res., 9, 156–165, 2018.
Liu, B., Ma, Y., Guo, J., Gong, W., Zhang, Y., Mao, F., Li, J., Guo, X., and
Shi, Y.: Boundary layer heights as derived from ground-based Radar wind
profiler in Beijing, IEEE T. Geosci. Remote, 57, 8095–8104,
https://doi.org/10.1109/TGRS.2019.2918301, 2019.
Liu, B., Guo, J., Gong, W., Shi, Y., and Jin, S.: Boundary Layer Height as
Estimated from Radar Wind Profilers in Four Cities in China: Relative
Contributions from Aerosols and Surface Features, Remote Sens., 12,
1657, https://doi.org/10.3390/rs12101657, 2020.
Liu, H., He, J., Guo, J., Miao, Y., Yin, J., Wang, Y., Xu, H., Liu, H., Yan, Y.,
Li, Y., and Zhai, P.: The blue skies in Beijing during APEC 2014: A quantitative
assessment of emission control efficiency and meteorological influence,
Atmos. Environ., 167, 235–244, https://doi.org/10.1016/j.atmosenv.2017.08.032,
2017.
Lux, O., Lemmerz, C., Weiler, F., Marksteiner, U., Witschas, B., Rahm, S., Schäfler, A., and Reitebuch, O.: Airborne wind lidar observations over the North Atlantic in 2016 for the pre-launch validation of the satellite mission Aeolus, Atmos. Meas. Tech., 11, 3297–3322, https://doi.org/10.5194/amt-11-3297-2018, 2018.
Lux, O., Lemmerz, C., Weiler, F., Marksteiner, U., Witschas, B., Rahm, S., Geiß, A., and Reitebuch, O.: Intercomparison of wind observations from the European Space Agency's Aeolus satellite mission and the ALADIN Airborne Demonstrator, Atmos. Meas. Tech., 13, 2075–2097, https://doi.org/10.5194/amt-13-2075-2020, 2020.
Miao, Y., Guo, J., Liu, S., Wei, W., Zhang, G., Lin, Y., and Zhai, P.: The
climatology of low level jet in Beijing and Guangzhou, China, J. Geophys.
Res.-Atmos., 123, 2816–2830, https://doi.org/10.1002/2017JD027321, 2018.
Michelson, S. A. and Bao, J. W.: Sensitivity of low-level winds simulated by
the WRF model in California's Central Valley to uncertainties in the
large-scale forcing and soil initializatio,
J. Appl. Meteorol. Climatol., 47, 3131–3149, 2008.
Molod, A., Salmun, H., and Dempsey, M.: Estimating planetary boundary layer
heights from NOAA profiler network wind profiler data, J. Atmos. Ocean. Tech., 32, 1545–1561, 2015.
Nash, J. and Oakley, T. J.: Development of COST 76 wind profiler network in
Europe, Phys. Chem. Earth B, 3, 193–199, 2001.
Oakley, T., Nash, J., and Turp, M.: CWINDE project office networking European
profilers 1997–2000, Proc. of the MST9 and COST76 Workshop, 525–528, 2000.
Pfahl, S., O'Gorman, P. A., and Fischer, E. M.: Understanding the regional
pattern of projected future changes in extreme precipitation, Nature Clim.
Change, 7, 423–427, 2017.
Reitebuch, O.: The spaceborne wind lidar mission ADM-Aeolus, Atmospheric
Physics, pp. 815–827, Springer, Berlin, Heidelberg, 2012.
Reitebuch, O., Lemmerz, C., Nagel, E., Paffrath, U., Durand, Y., Endemann,
M., Fabre, F., and Chaloupy, M.: The airborne demonstrator for the
direct-detection Doppler wind lidar ALADIN on ADM-Aeolus. Part I: Instrument
design and comparison to satellite instrument, J. Atmos. Ocean. Tech., 26, 2501–2515, 2009.
Rennie, M. and Isaksen, L.: The NWP impact of Aeolus Level-2B winds at ECMWF,
ECMWF Technical Memo 864, Shinfield Park, Reading, UK, https://doi.org/10.21957/alift7mhr, 2020.
Schlatter, T. W. and Zbar, F. S. (Eds.): Wind Profiler Assessment Report and Recommendations for Future Use,
NOAA, Silver Spring, Maryland, 141 pp., 1994.
Singh, N., Solanki, R., Ojha, N., Janssen, R. H. H., Pozzer, A., and Dhaka, S. K.: Boundary layer evolution over the central Himalayas from radio wind profiler and model simulations, Atmos. Chem. Phys., 16, 10559–10572, https://doi.org/10.5194/acp-16-10559-2016, 2016.
Schmetz, J., Holmlund, K., Hoffman, J., Strauss, B., Mason, B., Gaertner, V., and Van De Berg, L.: Operational cloud-motion winds from Meteosat infrared images, J. Appl. Meteorol., 32, 1206–1225, https://doi.org/10.1175/1520-0450(1993)032<1206:OCMWFM>2.0.CO;2, 1993.
Sun, X. Z.: Atmosphere Remote-Sensing Sounding System-Radar wind profiler,
Modern Radar, 1, 1–14, 1994.
van de Kamp, D. W.: Current status and recent improvements to the Wind
Profiler Demonstration Network. Preprints, 26th Int. Conf. on Radar
Meteorology, Norman, OK, 24–28 May 1993, Amer. Meteorol. Soc., Boston,
552–554, 1993.
Velden, C., Daniels, J., Stettner, D., Santek, D., Key, J., Dunion, J., Holmlund, K., Dengel, G., Breskand, W., and Menzel, P.: Recent innovations in deriving tropospheric winds from meteorological satellites, B. Am. Meteorol. Soc., 86, 205–224, 2005.
Wang, C., Chen, Y., Chen, M., and Shen, J.: Data assimilation of a dense
wind profiler network and its impact on convective forecasting, Atmos.
Res., 238, 104880, https://doi.org/10.1016/j.atmosres.2020.104880, 2020.
Weber, B. L., Wuertz, D. B., Strauch, R. G., Merritt, D. A., Moran, K. P., Law, D. C.,
van de Kamp, D. W., Chadwick, R. B., Ackley, M. H., Barth, M. F., Abshire, N. L.,
Miller, P. A., and Schlatter, T. W.: Preliminary evaluation of the first NOAA
demonstration network profiler, J. Atmos. Ocean. Tech., 7, 909–918,
1990.
Williams, P. D. and Joshi, M. M.: Intensification of winter transatlantic
aviation turbulence in response to climate change, Nature Clim. Change, 3,
644–648, 2013.
Yang, Y., Yim, S. H., Haywood, J., Osborne, M., Chan, J. C., Zeng, Z., and
Cheng, J. C.: Characteristics of heavy particulate matter pollution events
over Hong Kong and their relationships with vertical wind profiles using
high-time-resolution Doppler lidar measurements, J. Geophys. Res.-Atmos., 124, 9609–9623, 2019.
Yim, S. H., Fung, J. C., Lau, A. K., and Kot, S. C.: Developing a
high-resolution wind map for a complex terrain with a coupled MM5/CALMET
system, J. Geophys. Res.-Atmos., 112,
https://doi.org/10.1029/2006JD007752, 2007.
Zhai, X., Marksteiner, U., Weiler, F., Lemmerz, C., Lux, O., Witschas, B., and Reitebuch, O.: Rayleigh wind retrieval for the ALADIN airborne demonstrator of the Aeolus mission using simulated response calibration, Atmos. Meas. Tech., 13, 445–465, https://doi.org/10.5194/amt-13-445-2020, 2020.
Zhang, Y., Xu, Y., Dong, W., Cao, L., and Sparrow, M.: A future climate
scenario of regional changes in extreme climate events over China using the
PRECIS climate model, Geophys. Res. Lett., 33,
https://doi.org/10.1029/2006GL027229, 2006.
Zhang, Y., Guo, J., Yang, Y., Wang, Y., and Yim, S. H. L.: Vertical wind shear
modulates particulate matter pollutions: A perspective from Radar wind
profiler observations in Beijing, China, Remote Sens., 12, 546,
https://doi.org/10.3390/rs12030546, 2020.
Short summary
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However, the wind profile across China remains poorly understood. Here we reveal the salient features of winds from the radar wind profile of China, including the main instruments, spatial coverage and sampling frequency. This work is expected to allow the public and scientific community to be more familiar with the nationwide network and encourage the use of these valuable data in future research and applications.
Vertical wind profiles are crucial to a wide range of atmospheric disciplines. However, the wind...
