24.8.6.5.2 Convective Storm Analysis, Weather Radar Applications

Chapter Contents (Back)
Radar. Weather. Convective Storm. Clouds.
See also Rainfall Analysis, Rain, Precipitation, Weather Radar.
See also Tracking for Weather, Clouds.
See also Cloud Top Heights, Cloud-Top Analysis.

Minnis, P., Hong, G., Ayers, J., Smith, W., Yost, C., Heymsfield, A., Heymsfield, G., Hlavka, D., King, M., Korn, E., McGill, M., Selkirk, H., Thompson, A., Tian, L., Yang, P.,
Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC4: Potential for Enhancing Nocturnal Ice Cloud Retrievals,
RS(4), No. 10, October 2012, pp. 3022-3054.
DOI Link 1210
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Fiolleau, T., Roca, R.,
An Algorithm for the Detection and Tracking of Tropical Mesoscale Convective Systems Using Infrared Images From Geostationary Satellite,
GeoRS(51), No. 7, 2013, pp. 4302-4315.
IEEE DOI 1307
Clouds; tracking BibRef

Han, H.S.[Hyang-Sun], Lee, S.G.[Sang-Gyun], Im, J.[Jungho], Kim, M.[Miae], Lee, M.I.[Myong-In], Ahn, M.H.[Myoung Hwan], Chung, S.R.[Sung-Rae],
Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches,
RS(7), No. 7, 2015, pp. 9184.
DOI Link 1506
BibRef

Wang, W.H.[Wen-Hui], Cao, C.Y.[Chang-Yong],
Monitoring the NOAA Operational VIIRS RSB and DNB Calibration Stability Using Monthly and Semi-Monthly Deep Convective Clouds Time Series,
RS(8), No. 1, 2016, pp. 32.
DOI Link 1602
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Mathew, N., Suresh Raju, C., Renju, R., Antony, T.,
Distribution of Tropical Deep Convective Clouds From Megha-Tropiques SAPHIR Data,
GeoRS(54), No. 11, November 2016, pp. 6409-6414.
IEEE DOI 1610
Clouds BibRef

Zheng, J.F.[Jia-Feng], Liu, L.P.[Li-Ping], Zhu, K.Y.[Ke-Yun], Wu, J.Y.[Jing-Ya], Wang, B.Y.[Bin-Yun],
A Method for Retrieving Vertical Air Velocities in Convective Clouds over the Tibetan Plateau from TIPEX-III Cloud Radar Doppler Spectra,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Bhatt, R.[Rajendra], Doelling, D.R.[David R.], Scarino, B.[Benjamin], Haney, C.[Conor], Gopalan, A.[Arun],
Development of Seasonal BRDF Models to Extend the Use of Deep Convective Clouds as Invariant Targets for Satellite SWIR-Band Calibration,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Lim, W.X., Zhong, Z.W.,
Re-Planning of Flight Routes Avoiding Convective Weather and the 'Three Areas',
ITS(19), No. 3, March 2018, pp. 868-877.
IEEE DOI 1804
Aircraft, Atmospheric modeling, Clouds, Meteorology, Optimization, Planning, Safety, Convective weather, danger area, prohibited area, safety BibRef

Han, D.[Daehyeon], Lee, J.[Juhyun], Im, J.[Jungho], Sim, S.[Seongmun], Lee, S.G.[Sang-Gyun], Han, H.S.[Hyang-Sun],
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Zheng, J.F.[Jia-Feng], Zhang, P.W.[Pei-Wen], Liu, L.P.[Li-Ping], Liu, Y.X.[Yan-Xia], Che, Y.Z.[Yu-Zhang],
A Study of Vertical Structures and Microphysical Characteristics of Different Convective Cloud-Precipitation Types Using Ka-Band Millimeter Wave Radar Measurements,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Tervo, R., Karjalainen, J., Jung, A.,
Short-Term Prediction of Electricity Outages Caused by Convective Storms,
GeoRS(57), No. 11, November 2019, pp. 8618-8626.
IEEE DOI 1911
Storms, Power grids, Radar tracking, Radar imaging, Meteorological radar, Machine learning, radar tracking BibRef

Chen, G.[Gang], Zhao, K.[Kun], Wen, L.[Long], Wang, M.Y.[Meng-Yao], Huang, H.[Hao], Wang, M.J.[Ming-Jun], Yang, Z.W.[Zheng-Wei], Zhang, G.F.[Gui-Fu], Zhang, P.F.[Peng-Fei], Lee, W.C.[Wen-Chau],
Microphysical Characteristics of Three Convective Events with Intense Rainfall Observed by Polarimetric Radar and Disdrometer in Eastern China,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Yang, Z.D.[Zhi-Da], Liu, P.[Peng], Yang, Y.[Yi],
Convective/Stratiform Precipitation Classification Using Ground-Based Doppler Radar Data Based on the K-Nearest Neighbor Algorithm,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Liu, Q.[Qian], Li, Y.[Yun], Yu, M.Z.[Man-Zhu], Chiu, L.S.[Long S.], Hao, X.J.[Xian-Jun], Duffy, D.Q.[Daniel Q.], Yang, C.W.[Chao-Wei],
Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Tapiador, F.J.[Francisco J.], Marcos, C.[Cecilia], Sancho, J.M.[Juan Manuel],
The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second-Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Courbot, J.B.[Jean-Baptiste], Duval, V.[Vincent], Legras, B.[Bernard],
Sparse analysis for mesoscale convective systems tracking,
SP:IC(85), 2020, pp. 115854.
Elsevier DOI 2005
Remote sensing image processing, Shape tracking, Gridless sparse analysis BibRef

Han, L., Sun, J., Zhang, W.,
Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data,
GeoRS(58), No. 2, February 2020, pp. 1487-1495.
IEEE DOI 2001
Convective storm forecasting, convolutional neural network (CNN), deep learning, weather radar BibRef

Stephens, G.L., van den Heever, S.C., Haddad, Z.S., Posselt, D.J., Storer, R.L., Grant, L.D., Sy, O.O., Rao, T.N., Tanelli, S., Peral, E.,
A Distributed Small Satellite Approach for Measuring Convective Transports in the Earth's Atmosphere,
GeoRS(58), No. 1, January 2020, pp. 4-13.
IEEE DOI 2001
Spaceborne radar, Atmospheric measurements, Convection, Meteorology, Small satellites, Clouds, Atmospheric radar, clouds, small satellites BibRef

Kulikov, M.Y.[Mikhail Yu.], Belikovich, M.V.[Mikhail V.], Skalyga, N.K.[Natalya K.], Shatalina, M.V.[Maria V.], Dementyeva, S.O.[Svetlana O.], Ryskin, V.G.[Vitaly G.], Shvetsov, A.A.[Alexander A.], Krasil'nikov, A.A.[Alexander A.], Serov, E.A.[Evgeny A.], Feigin, A.M.[Alexander M.],
Skills of Thunderstorm Prediction by Convective Indices over a Metropolitan Area: Comparison of Microwave and Radiosonde Data,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Sangiorgio, M.[Matteo], Barindelli, S.[Stefano],
Spatio-Temporal Analysis of Intense Convective Storms Tracks in a Densely Urbanized Italian Basin,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Kwon, S.[Soohyun], Jung, S.H.[Sung-Hwa], Lee, G.[Gyu_Won],
A Case Study on Microphysical Characteristics of Mesoscale Convective System Using Generalized DSD Parameters Retrieved from Dual-Polarimetric Radar Observations,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Chen, D.D.[Dan-Dan], Guo, J.P.[Jian-Ping], Yao, D.[Dan], Feng, Z.[Zhe], Lin, Y.L.[Yan-Luan],
Elucidating the Life Cycle of Warm-Season Mesoscale Convective Systems in Eastern China from the Himawari-8 Geostationary Satellite,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Gallucci, D.[Donatello], de Natale, M.P.[Maria Pia], Cimini, D.[Domenico], di Paola, F.[Francesco], Gentile, S.[Sabrina], Geraldi, E.[Edoardo], Larosa, S.[Salvatore], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Viggiano, M.[Mariassunta], Romano, F.[Filomena],
Convective Initiation Proxies for Nowcasting Precipitation Severity Using the MSG-SEVIRI Rapid Scan,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Pulkkinen, S., Chandrasekar, V., von Lerber, A., Harri, A.M.,
Nowcasting of Convective Rainfall Using Volumetric Radar Observations,
GeoRS(58), No. 11, November 2020, pp. 7845-7859.
IEEE DOI 2011
Rain, Predictive models, Mathematical model, Computational modeling, Radar measurements, Atmosphere, urban areas BibRef

Jolliff, J.K.[Jason K.], Ladner, S.[Sherwin], Smith, T.A.[Travis A.], Anderson, S.[Stephanie], Lewis, M.D.[Mark David], McCarthy, S.C.[Sean C.], Crout, R.L.[Richard L.], Jarosz, E.[Ewa], Lawson, A.[Adam],
On the Potential Optical Signature of Convective Turbulence over the West Florida Shelf,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Hourngir, D.[Dario], Panegrossi, G.[Giulia], Casella, D.[Daniele], Sanò, P.[Paolo], d'Adderio, L.P.[Leo Pio], Liu, C.[Chuntao],
A 4-Year Climatological Analysis Based on GPM Observations of Deep Convective Events in the Mediterranean Region,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Zhang, X.[Xidi], Shen, W.Q.[Wen-Qiang], Zhuge, X.Y.[Xiao-Yong], Yang, S.N.[Shu-Nan], Chen, Y.[Yun], Wang, Y.[Yuan], Chen, T.[Tao], Zhang, S.[Shushi],
Statistical Characteristics of Mesoscale Convective Systems Initiated over the Tibetan Plateau in Summer by Fengyun Satellite and Precipitation Estimates,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Voormansik, T.[Tanel], Müürsepp, T.[Tuule], Post, P.[Piia],
Climatology of Convective Storms in Estonia from Radar Data and Severe Convective Environments,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Gooch, S.R.[Steven Ryan], Chandrasekar, V.,
Improving Historical Data Discovery in Weather Radar Image Data Sets Using Transfer Learning,
GeoRS(59), No. 7, July 2021, pp. 5619-5629.
IEEE DOI 2106
Radar imaging, Meteorological radar, Meteorology, Machine learning, Task analysis, Convective, weather radar BibRef

Duan, M.S.[Ming-Shan], Xia, J.J.[Jiang-Jiang], Yan, Z.W.[Zhong-Wei], Han, L.[Lei], Zhang, L.[Lejian], Xia, H.M.[Han-Meng], Yu, S.[Shuang],
Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep Learning and Himawari-8 Observations,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Huang, Y.P.[Yi-Peng], Zhang, M.[Murong], Zhao, Y.C.[Yu-Chun], Jou, B.J.D.[Ben Jong-Dao], Zheng, H.[Hui], Luo, C.[Changrong], Chen, D.H.[De-Hua],
Inter-Zone Differences of Convective Development in a Convection Outbreak Event over Southeastern Coast of China: An Observational Analysis,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
Thunderstorm outbreaks. BibRef

Lee, Y.J.[Yeon-Jin], Ahn, M.H.[Myoung-Hwan], Lee, S.J.[Su-Jeong],
Incremental Learning with Neural Network Algorithm for the Monitoring Pre-Convective Environments Using Geostationary Imager,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Bobotová, G.[Gabriela], Sokol, Z.[Zbynek], Popová, J.[Jana], Fišer, O.[Ondrej], Zacharov, P.[Petr],
Analysis of Two Convective Storms Using Polarimetric X-Band Radar and Satellite Data,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Li, J.J.[Jun-Jun], Yue, Z.G.[Zhi-Guo], Lu, C.[Chunsong], Chen, J.H.[Jing-Hua], Wu, X.Q.[Xiao-Qing], Xu, X.Q.[Xiao-Qi], Luo, S.[Shi], Zhu, L.[Lei], Wu, S.Y.[Shi-Ying], Wang, F.[Fan], He, X.[Xin],
Convective Entrainment Rate over the Tibetan Plateau and Its Adjacent Regions in the Boreal Summer Using SNPP-VIIRS,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Du, Y.X.Y.[Yang-Xing-Yi], Zheng, D.[Dong], Ma, R.Y.[Rui-Yang], Zhang, Y.J.[Yi-Jun], Lyu, W.T.[Wei-Tao], Yao, W.[Wen], Zhang, W.J.[Wen-Juan], Ciren, L.[Luobu], Cuomu, D.Q.[De-Qing],
Thunderstorm Activity over the Qinghai-Tibet Plateau Indicated by the Combined Data of the FY-2E Geostationary Satellite and WWLLN,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Huang, X.[Xuan], Zheng, J.F.[Jia-Feng], Che, Y.Z.[Yu-Zhang], Wang, G.[Gaili], Ren, T.[Tao], Hua, Z.Q.[Zhi-Qiang], Tian, W.D.[Wei-Dong], Su, Z.K.[Zhi-Kun], Su, L.[Lianxia],
Evolution and Structure of a Dry Microburst Line Observed by Multiple Remote Sensors in a Plateau Airport,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Wu, B.[Bin], Wei, M.[Ming], Li, Y.F.[Yan-Fang], Wang, Z.W.[Zhang-Wei], Du, S.[Shuang], Zhao, C.[Chen],
Analysis of the Characteristics and Evolution Mechanisms of a Bow-Shaped Squall Line in East China Observed with Dual-Polarization Doppler Radars,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Ghada, W.[Wael], Casellas, E.[Enric], Herbinger, J.[Julia], Garcia-Benadí, A.[Albert], Bothmann, L.[Ludwig], Estrella, N.[Nicole], Bech, J.[Joan], Menzel, A.[Annette],
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Sun, N.L.[Neng-Li], Zhou, Z.M.[Ze-Ming], Li, Q.[Qian], Jing, J.[Jinrui],
Three-Dimensional Gridded Radar Echo Extrapolation for Convective Storm Nowcasting Based on 3D-ConvLSTM Model,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Laviola, S.[Sante], Monte, G.[Giulio], Cattani, E.[Elsa], Levizzani, V.[Vincenzo],
Hail Climatology in the Mediterranean Basin Using the GPM Constellation (1999-2021),
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Weisz, E.[Elisabeth], Menzel, W.P.[W. Paul],
Tracking Atmospheric Moisture Changes in Convective Storm Environments Using GEO ABI and LEO CrIS Data Fusion,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Huang, Y.P.[Yi-Peng], Zhang, M.[Murong],
Contrasting Mesoscale Convective System Features of Two Successive Warm-Sector Rainfall Episodes in Southeastern China: A Satellite Perspective,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zeng, Y.F.[Yue-Fei], Feng, Y.X.[Yu-Xuan], de Lozar, A.[Alberto], Stephan, K.[Klaus], Scheck, L.[Leonhard], Khosravianghadikolaei, K.[Kobra], Blahak, U.[Ulrich],
Evaluating Latent-Heat-Nudging Schemes and Radar forward Operator Settings for a Convective Summer Period over Germany Using the ICON-KENDA System,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Jing, Y.Y.[Ying-Ying], Chen, Y.C.[Yi-Chen], Ma, X.C.[Xin-Cheng], Ma, J.L.[Jian-Li], Li, X.[Xia], Ma, N.K.[Ning-Kun], Bi, K.[Kai],
Characteristics of Summer Hailstorms Observed by Radar and Himawari-8 in Beijing, China,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Wang, C.[Chao], Wu, C.[Chong], Liu, L.P.[Li-Ping],
Integrated Convective Characteristic Extraction Algorithm for Dual Polarization Radar: Description and Application to a Convective System,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Sun, Y.[Yue], Xiao, H.[Hui], Tian, Y.[Ye], Yang, H.L.[Hui-Ling],
A Nonlinear Grid Transformation Method for Extrapolating and Predicting the Convective Echo of Weather Radar,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Sun, Y.T.[Yu-Ting], Zhou, Z.M.[Zhi-Min], Gao, Q.J.[Qing-Jiu], Li, H.L.[Hong-Li], Wang, M.H.[Ming-Huan],
Evaluating Simulated Microphysics of Stratiform and Convective Precipitation in a Squall Line Event Using Polarimetric Radar Observations,
RS(15), No. 6, 2023, pp. 1507.
DOI Link 2304
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Guo, S.Q.[Shi-Qing], Sun, N.[Nengli], Pei, Y.[Yanle], Li, Q.[Qian],
3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting,
RS(15), No. 6, 2023, pp. 1529.
DOI Link 2304
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Tang, Y.[Ying], Xu, X.[Xin], Ju, Y.Y.[Yuan-Yuan], Wu, Z.Y.[Zhen-Yu], Zhang, S.[Shushi], Chen, X.[Xunlai], Xu, Q.[Qi],
Statistical Analysis of Mesovortices during the First Rainy Season in Guangdong, South China,
RS(15), No. 8, 2023, pp. 2176.
DOI Link 2305
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Panegrossi, G.[Giulia], D'Adderio, L.P.[Leo Pio], Dafis, S.[Stavros], Rysman, J.F.[Jean-François], Casella, D.[Daniele], Dietrich, S.[Stefano], Sanò, P.[Paolo],
Warm Core and Deep Convection in Medicanes: A Passive Microwave-Based Investigation,
RS(15), No. 11, 2023, pp. 2838.
DOI Link 2306
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Zhang, H.H.[Huan-Huan], Xu, Q.[Qin], Jones, T.A.[Thomas A.], Ran, L.K.[Ling-Kun],
Assimilating All-Sky Infrared Radiance Observations to Improve Ensemble Analyses and Short-Term Predictions of Thunderstorms,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Krinitskiy, M.[Mikhail], Sprygin, A.[Alexander], Elizarov, S.[Svyatoslav], Narizhnaya, A.[Alexandra], Shikhov, A.[Andrei], Chernokulsky, A.[Alexander],
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DOI Link 2307
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Zhao, K.[Kun], Xu, X.[Xin], Xue, M.[Ming], Tan, Z.M.[Zhe-Min], Huang, H.[Hao], Zhou, A.[Ang], Fan, X.Q.[Xue-Qi], Liu, Q.[Qiqing], Wang, C.[Chenli], Fang, J.[Juan], Lee, W.C.[Wen-Chau], Zhang, Q.[Qinghong], Zhang, F.[Fan], Chen, G.[Gang], Yang, J.[Ji],
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Chen, Q.[Qi], Yin, X.B.[Xia-Bin], Li, Y.[Yan], Zheng, P.[Peinan], Chen, M.[Miao], Xu, Q.[Qing],
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Shiff, S.[Shilo], Givati, A.[Amir], Brenner, S.[Steve], Lensky, I.M.[Itamar M.],
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RS(15), No. 21, 2023, pp. 5241.
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Xiang, R.X.Y.[Ru-Xuan-Yi], Xie, T.[Tao], Bai, S.Y.[Shu-Ying], Zhang, X.H.[Xue-Hong], Li, J.[Jian], Wang, M.H.[Ming-Hua], Wang, C.[Chao],
Monitoring Mesoscale Convective System Using Swin-Unet Network Based on Daytime True Color Composite Images of Fengyun-4B,
RS(15), No. 23, 2023, pp. 5572.
DOI Link 2312
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Xu, G.Q.[Guo-Qiang], Fu, S.[Shizuo], Liu, J.[Jane], Shang, R.[Rong], Luo, Y.Y.[Yuan-Yuan],
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Guo, J.L.[Jian-Lin], Lu, Z.Y.[Zhi-Ying], Yan, Q.[Qin], Zhang, J.F.[Jian-Feng],
A Radar Reflectivity Image Prediction Method: The Spatial MIM + Pix2Pix,
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Simulation and Analysis of the Mesoscale Vortex Affecting the '21-7' Extreme Rainstorm in Henan,
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Liu, D.X.[Dong-Xia], Yu, H.[Han], Sun, Z.L.[Zhu-Ling], Zhang, H.B.[Hong-Bo], Wang, D.F.[Dong-Fang],
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Ren, G.[Gang], Sun, Y.[Yue], Sun, H.P.[Hong-Ping], Dong, Y.N.[Ya-Ning], Yang, Y.[Yonglong], Xiao, H.[Hui],
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Dávila-Ortiz, R.[Rodrigo], Carbajal-Pérez, J.N.[José Noel], Velázquez-Zapata, J.A.[Juan Alberto], Tuxpan-Vargas, J.[José],
Approximation of a Convective-Event-Monitoring System Using GOES-R Data and Ensemble ML Models,
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Swastiko, W.A.[Wishnu Agum], Tsai, C.L.[Chia-Lun], Kim, S.H.[Seung Hee], Lee, G.[GyuWon],
Kinematic and Dynamic Structure of the 18 May 2020 Squall Line over South Korea,
RS(16), No. 8, 2024, pp. 1474.
DOI Link 2405
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Shi, T.[Tao], Yang, Y.J.[Yuan-Jian], Lu, G.P.[Gao-Peng], Wen, X.C.[Xiang-Cheng], Liu, L.[Lei], Qi, P.[Ping],
Observation Analysis and Numerical Simulation of the Urban Barrier Effect on Thunderstorm Organization,
RS(16), No. 8, 2024, pp. 1390.
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Sun, L.X.[Liang-Xiao], Zhuge, X.Y.[Xiao-Yong], Zhu, S.H.[Shi-Hua],
Geostationary Satellite-Based Overshooting Top Detections and Their Relationship to Severe Weather over Eastern China,
RS(16), No. 11, 2024, pp. 2015.
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Yang, Y.[Yi], Sun, J.M.[Ji Ming], Shi, Z.[Zheng], Tian, W.S.[Wan Shun], Li, F.X.[Fu Xing], Zhang, T.Y.[Tian Yu], Deng, W.[Wei], Hu, W.H.[Wen-Hao], Zhang, J.[Jun],
The Preliminary Application of Spectral Microphysics in Numerical Study of the Effects of Aerosol Particles on Thunderstorm Development,
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Zhang, J.[Jie], He, M.Y.[Ming-Yuan],
Methodology for Severe Convective Cloud Identification Using Lightweight Neural Network Model Ensembling,
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Studying the Aerosol Effect on Deep Convective Clouds over the Global Oceans by Applying Machine Learning Techniques on Long-Term Satellite Observation,
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A Comparative Study of Cloud Microphysics Schemes in Simulating a Quasi-Linear Convective Thunderstorm Case,
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DOI Link 2409
BibRef


Chen, K.[Kai], Liu, J.[Jun], Guo, S.X.[Shan-Xin], Chen, J.S.[Jin-Song], Liu, P.[Ping], Qian, J.[Jing], Chen, H.J.[Hui-Juan], Sun, B.[Bo],
Short-term Precipitation Occurrence Prediction for Strong Convective Weather Using FY2-G Satellite Data: A Case Study of Shenzhen,south China,
ISPRS16(B6: 215-219).
DOI Link 1610
BibRef

Kumar, D.[Dinesh], Mohanty, U.C., Kumar, K.[Krishan],
Sensitivity of land surface and Cumulus schemes for Thunderstorm prediction,
ISPRS16(B8: 271-275).
DOI Link 1610
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Rainfall Analysis, Rain, Precipitation, Weather Radar .


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