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.

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

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.
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

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

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.
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

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

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.
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.[Sanggyun], 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

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

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.
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

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

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

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

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.
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.
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

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

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

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

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

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.
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

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

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

Lao, P.[Ping], Liu, Q.[Qi], Ding, Y.[Yuhao], Wang, Y.[Yu], Li, Y.[Yuan], Li, M.[Meng],
Rainrate Estimation from FY-4A Cloud Top Temperature for Mesoscale Convective Systems by Using Machine Learning Algorithm,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

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

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.
Radar imaging, Meteorological radar, Meteorology, Machine learning, Computer architecture, 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

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

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

Li, H.Y.[Hao-Yang], Wei, X.C.[Xiao-Cheng], Min, M.[Min], Li, B.[Bo], Nong, Z.Q.[Zi-Qi], Chen, L.[Lin],
A Dataset of Overshooting Cloud Top from 12-Year CloudSat/CALIOP Joint Observations,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
strong convective storm 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.[Shiying], 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

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

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

Last update:Jun 19, 2022 at 13:58:21