16.6.2.13.1 Cyclones, Hurricanes, Typhoons, Radar, Cloud analysis

Chapter Contents (Back)
Cyclone. Hurricane. Typhoon. See also Weather Radar Applications. See also Wind Sensing, Wind Speed, Wind from Sensors.

Lee, R.S.T., Liu, J.N.K.,
An Automatic Satellite Interpretation of Tropical Cyclone Patterns Using Elastic Graph Dynamic Link Model,
PRAI(13), No. 8, December 1999, pp. 1251. 0005
BibRef

Zhou, L.[Lin], Kambhamettu, C.[Chandra], Goldgof, D.B.[Dmitry B.], Palaniappan, K., Hasler, A.F.,
Tracking Nonrigid Motion and Structure from 2D Satellite Cloud Images without Correspondences,
PAMI(23), No. 11, November 2001, pp. 1330-1336.
IEEE DOI 0112
Integrate local analysis with global fluid motion constraints. BibRef

Zhou, L.[Lin], Kambhamettu, C.[Chandra],
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views,
CVPR00(II: 752-759).
IEEE DOI 0005
BibRef

Zhou, L.[Lin], Kambhamettu, C.[Chandra], Goldgof, D.B.[Dmitry B.],
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences,
CVPR00(II: 744-751).
IEEE DOI 0005
BibRef
Earlier:
Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences,
CVPR99(II: 280-285).
IEEE DOI Uses: See also coarse-to-fine deformable contour optimization framework, A. Weather BibRef

Balasubramanian, R., Goldgof, D.B., Kambhamettu, C.,
Tracking of nonrigid motion and 3D structure from 2D image sequences without correspondences,
ICIP98(I: 933-937).
IEEE DOI 9810
BibRef

Kambhamettu, C., Palaniappan, K., Hasler, A.F.,
Coupled, Multi-Resolution Stereo and Motion Analysis,
SCV95(43-48).
IEEE DOI NASA/Goddard Space Flight Center. Applied to satellite weather images. BibRef 9500

Lee, R.S.T., Liu, J.N.K.,
An elastic contour matching model for tropical cyclone pattern recognition,
SMC-B(31), No. 3, June 2001, pp. 413-417.
IEEE Top Reference. 0108
BibRef

Tuttle, J., and Gall, R.,
A single-radar technique for estimating the winds in tropical cyclones,
Meteorological(80), No. 4, 1999, pp. 653-668. BibRef 9900

Majumdar, K.K.,
A mathematical model of the nascent cyclone,
GeoRS(41), No. 5, May 2003, pp. 1118-1122.
IEEE Abstract. 0307
BibRef

Yueh, S.H., Stiles, B.W., Liu, W.T.,
Quikscat wind retrievals for tropical cyclones,
GeoRS(41), No. 11, November 2003, pp. 2616-2628.
IEEE Abstract. 0311
BibRef

Wong, K.Y.[Ka Yan], Yip, C.L.[Chi Lap],
Identifying centers of circulating and spiraling vector field patterns and its applications,
PR(42), No. 7, July 2009, pp. 1371-1387.
Elsevier DOI 0903
BibRef
Earlier:
A Fast and Noise-Tolerant Method for Positioning Centers of Spiraling and Circulating Vector Fields,
ACCV07(II: 764-773).
Springer DOI 0711
BibRef
Earlier: A2, A1:
Identifying centers of circulating and spiraling flow patterns,
ICPR06(I: 769-772).
IEEE DOI 0609
Vector field; Center identification; Rotation center detection; Tropical cyclone eye fix; Circulating and spiraling vector field center. Center of region of high magnitude of vorticity. BibRef

Wong, K.Y.[Ka Yan], Yip, C.L.[Chi Lap], Li, P.W.[Ping Wah],
Identifying Weather Systems from Numerical Weather Prediction Data,
ICPR06(IV: 841-844).
IEEE DOI 0609
BibRef

Wong, K.Y.[Ka Yan], Yip, C.L.[Chi Lap], Li, P.W.[Ping Wah],
Automatic tropical cyclone eye fix using genetic algorithm,
ExSysApp(34), No. 1, 2008, pp. 643-656.
Elsevier DOI BibRef 0800

Wong, K.Y.[Ka Yan], Yip, C.L.[Chi Lap], Li, P.W.[Ping Wah], Tsang, W.W.[Wai Wan],
Automatic template matching method for tropical cyclone eye fix,
ICPR04(III: 650-653).
IEEE DOI 0409
BibRef

Reppucci, A., Lehner, S., Schulz-Stellenfleth, J., Brusch, S.,
Tropical Cyclone Intensity Estimated From Wide-Swath SAR Images,
GeoRS(48), No. 4, April 2010, pp. 1639-1649.
IEEE DOI 1003
BibRef

Wei, K.[Kun], Jing, Z.L.[Zhong-Liang], Li, Y.X.[Yuan-Xiang], Liu, S.L.[Su-Liang],
Spiral band model for locating Tropical Cyclone centers,
PRL(32), No. 6, 15 April 2011, pp. 761-770.
Elsevier DOI 1103
Tropical Cyclone; Center locating; Spiral band model; Particle swarm optimization BibRef

Kamal, M., Yang, R., Qu, J.,
Multivariate Analysis of MODerate Resolution Imaging Spectroradiometer (MODIS) Aerosol Retrievals and the Statistical Hurricane Intensity Prediction Scheme (SHIPS) Parameters for Atlantic Hurricanes,
RS(4), No. 9, September 2012, pp. 2846-2865.
DOI Link 1210
BibRef

Pan, Y.F.[Yu-Fang], Liu, A.K.[Antony K.], He, S.Y.[Shuang-Yan], Yang, J.S.[Jing-Song], He, M.X.[Ming-Xia],
Comparison of Typhoon Locations over Ocean Surface Observed by Various Satellite Sensors,
RS(5), No. 7, 2013, pp. 3172-3189.
DOI Link 1308
BibRef

Kumar, P., Kumar, K.P.H.[K.P. Harish], Pal, P.K.,
Impact of Oceansat-2 Scatterometer Winds and TMI Observations on Phet Cyclone Simulation,
GeoRS(51), No. 6, 2013, pp. 3774-3779.
IEEE DOI 1307
storms; weather forecasting; cyclone track; Wind speed; Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) BibRef

Yang, S.[Song], Hawkins, J.[Jeffrey], Richardson, K.[Kim],
The Improved NRL Tropical Cyclone Monitoring System with a Unified Microwave Brightness Temperature Calibration Scheme,
RS(6), No. 5, 2014, pp. 4563-4581.
DOI Link 1407
BibRef

Wang, Y.[Yu], Fu, Y.F.[Yun-Fei], Fang, X.[Xiang], Zhang, Y.[Ying],
Estimating Ice Water Path in Tropical Cyclones With Multispectral Microwave Data From the FY-3B Satellite,
GeoRS(52), No. 9, Sept 2014, pp. 5548-5557.
IEEE DOI 1407
geophysical signal processing BibRef

Liu, J.C.[Ji-Chyun], Liou, Y.A.[Yuei-An], Wu, M.X.[Meng-Xi], Lee, Y.J.[Yueh-Jyun], Cheng, C.H.[Chi-Han], Kuei, C.P.[Ching-Pin], Hong, R.M.[Rong-Moo],
Analysis of Interactions Among Two Tropical Depressions and Typhoons Tembin and Bolaven (2012) in Pacific Ocean by Using Satellite Cloud Images,
GeoRS(53), No. 3, March 2015, pp. 1394-1402.
IEEE DOI 1412
clouds BibRef

Ruf, C.[Chris], Shafer, A.[Allison],
A new generation of hurricane-observing satellites,
SPIE(Newsroom), December 30, 2015
DOI Link 1602
A new NASA satellite mission will improve hurricane forecasting by making frequent measurements of ocean surface winds. BibRef

Zheng, G., Yang, J., Liu, A.K., Li, X., Pichel, W.G., He, S.,
Comparison of Typhoon Centers From SAR and IR Images and Those From Best Track Data Sets,
GeoRS(54), No. 2, February 2016, pp. 1000-1012.
IEEE DOI 1601
Clouds BibRef

Bhowmick, S.A., Basu, S., Sharma, R., Kumar, R.,
Impact of Assimilating SARAL/AltiKa SWH in SWAN Model During Indian Ocean Tropical Cyclone Phailin,
GeoRS(54), No. 3, March 2016, pp. 1812-1817.
IEEE DOI 1603
Cyclones BibRef

Kang, K.M., Kim, D.J., Kim, S.H., Moon, W.M.,
Doppler Velocity Characteristics During Tropical Cyclones Observed Using ScanSAR Raw Data,
GeoRS(54), No. 4, April 2016, pp. 2343-2355.
IEEE DOI 1604
Doppler shift BibRef

Routray, A., Mohanty, U.C., Osuri, K.K., Kar, S.C., Niyogi, D.,
Impact of Satellite Radiance Data on Simulations of Bay of Bengal Tropical Cyclones Using the WRF-3DVAR Modeling System,
GeoRS(54), No. 4, April 2016, pp. 2285-2303.
IEEE DOI 1604
Data assimilation BibRef

Xu, Q., Li, X., Bao, S., Pietrafesa, L.J.,
SAR Observation and Numerical Simulation of Mountain Lee Waves Near Kuril Islands Forced by an Extratropical Cyclone,
GeoRS(54), No. 12, December 2016, pp. 7157-7165.
IEEE DOI 1612
gravity waves BibRef

Lee, Y.S., Liou, Y.A., Liu, J.C., Chiang, C.T., Yeh, K.D.,
Formation of Winter Supertyphoons Haiyan (2013) and Hagupit (2014) Through Interactions With Cold Fronts as Observed by Multifunctional Transport Satellite,
GeoRS(55), No. 7, July 2017, pp. 3800-3809.
IEEE DOI 1706
Clouds, Hurricanes, Ocean temperature, Satellites, Tropical cyclones, Wind speed, Cold fronts, satellite imagery, supertyphoons BibRef

Duan, B.[Boheng], Zhang, W.M.[Wei-Min], Yang, X.F.[Xiao-Feng], Dai, H.[Haijin], Yu, Y.[Yi],
Assimilation of Typhoon Wind Field Retrieved from Scatterometer and SAR Based on the Huber Norm Quality Control,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Zhang, G.[Guosheng], Perrie, W.[William],
Dual-Polarized Backscatter Features of Surface Currents in the Open Ocean during Typhoon Lan (2017),
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Jin, S., Wang, S., Li, X., Jiao, L., Zhang, J.A., Shen, D.,
A Salient Region Detection and Pattern Matching-Based Algorithm for Center Detection of a Partially Covered Tropical Cyclone in a SAR Image,
GeoRS(55), No. 1, January 2017, pp. 280-291.
IEEE DOI 1701
clouds BibRef

Lu, X.Q.[Xiao-Qin], Yu, H.[Hui], Yang, X.M.[Xiao-Ming], Li, X.F.[Xiao-Feng],
Estimating Tropical Cyclone Size in the Northwestern Pacific from Geostationary Satellite Infrared Images,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Gopalakrishnan, D., Chandrasekar, A.,
On the Improved Predictive Skill of WRF Model With Regional 4DVar Initialization: A Study With North Indian Ocean Tropical Cyclones,
GeoRS(56), No. 6, June 2018, pp. 3350-3357.
IEEE DOI 1806
Cyclones, Humidity, Numerical models, Ocean temperature, Predictive models, Satellites, 4-D variational (4DVar), weather research and forecasting (WRF) model BibRef

Gopalakrishnan, D., Chandrasekar, A.,
Improved 4-DVar Simulation of Indian Ocean Tropical Cyclones Using a Regional Model,
GeoRS(56), No. 9, September 2018, pp. 5107-5114.
IEEE DOI 1809
Predictive models, Sea surface, Analytical models, Tropical cyclones, Computational modeling, weather research and forecasting (WRF) model BibRef

Pradhan, R., Aygun, R.S., Maskey, M., Ramachandran, R., Cecil, D.J.,
Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural Network,
IP(27), No. 2, February 2018, pp. 692-702.
IEEE DOI 1712
Computer architecture, Estimation, Feature extraction, Hurricanes, Neural networks, Tropical cyclones, Deep learning, tropical cyclone category and intensity estimation BibRef

Liou, Y.A., Liu, J.C., Liu, C.P., Liu, C.C.,
Season-Dependent Distributions and Profiles of Seven Super-Typhoons (2014) in the Northwestern Pacific Ocean From Satellite Cloud Images,
GeoRS(56), No. 5, May 2018, pp. 2949-2957.
IEEE DOI 1805
Clouds, Meteorology, Ocean temperature, Satellites, Sea surface, Tropical cyclones, Turning, Cold fronts and southwest airflows, super-typhoons BibRef

Zhang, G.S.[Guo-Sheng], Perrie, W.[William],
Symmetric Double-Eye Structure in Hurricane Bertha (2008) Imaged by SAR,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Van Beusekom, A.E.[Ashley E.], Álvarez-Berríos, N.L.[Nora L.], Gould, W.A.[William A.], Quiñones, M.[Maya], González, G.[Grizelle],
Hurricane Maria in the U.S. Caribbean: Disturbance Forces, Variation of Effects, and Implications for Future Storms,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Jin, S., Li, X., Yang, X., Zhang, J.A., Shen, D.,
Identification of Tropical Cyclone Centers in SAR Imagery Based on Template Matching and Particle Swarm Optimization Algorithms,
GeoRS(57), No. 1, January 2019, pp. 598-608.
IEEE DOI 1901
Synthetic aperture radar, Rain, Spirals, Pattern matching, Wind speed, Monitoring, Satellites, Filtering, pattern matching, synthetic aperture radar (SAR) BibRef

Krien, Y.[Yann], Arnaud, G.[Gaël], Cécé, R.[Raphaël], Ruf, C.[Chris], Belmadani, A.[Ali], Khan, J.[Jamal], Bernard, D.[Didier], Islam, A.K.M.S., Durand, F.[Fabien], Testut, L.[Laurent], Palany, P.[Philippe], Zahibo, N.[Narcisse],
Can We Improve Parametric Cyclonic Wind Fields Using Recent Satellite Remote Sensing Data?,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Hu, T., Wu, Y., Zheng, G., Zhang, D., Zhang, Y., Li, Y.,
Tropical Cyclone Center Automatic Determination Model Based on HY-2 and QuikSCAT Wind Vector Products,
GeoRS(57), No. 2, February 2019, pp. 709-721.
IEEE DOI 1901
Radar measurements, Wind speed, Tropical cyclones, Oceans, Spaceborne radar, Satellite broadcasting, Center determination, tropical cyclone (TC) BibRef

Sun, W.J.[Wen-Jin], Dong, C.M.[Chang-Ming], Tan, W.[Wei], He, Y.J.[Yi-Jun],
Statistical Characteristics of Cyclonic Warm-Core Eddies and Anticyclonic Cold-Core Eddies in the North Pacific Based on Remote Sensing Data,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Xiang, K.S.[Kun-Sheng], Yang, X.F.[Xiao-Feng], Zhang, M.[Miao], Li, Z.[Ziwei], Kong, F.P.[Fan-Ping],
Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Ma, C.Y.[Chun-Yong], Li, S.[Siqing], Wang, A.[Anni], Yang, J.[Jie], Chen, G.[Ge],
Altimeter Observation-Based Eddy Nowcasting Using an Improved Conv-LSTM Network,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Ning, J.[Jue], Xu, Q.[Qing], Zhang, H.[Han], Wang, T.[Tao], Fan, K.[Kaiguo],
Impact of Cyclonic Ocean Eddies on Upper Ocean Thermodynamic Response to Typhoon Soudelor,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

He, J.Y.[Jie-Ying], Chen, H.[Haonan],
Atmospheric Retrievals and Assessment for Microwave Observations from Chinese FY-3C Satellite during Hurricane Matthew,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Cai, J., Zhang, Y., Doviak, R.J., Shrestha, Y., Chan, P.W.,
Diagnosis and Classification of Typhoon-Associated Low-Altitude Turbulence Using HKO-TDWR Radar Observations and Machine Learning,
GeoRS(57), No. 6, June 2019, pp. 3633-3648.
IEEE DOI 1906
Training, Radar measurements, Data integrity, Doppler radar, Signal to noise ratio, Training data, Aviation safety, weather radar BibRef

Kim, M.[Minsang], Park, M.S.[Myung-Sook], Im, J.[Jungho], Park, S.[Seonyoung], Lee, M.I.[Myong-In],
Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Liu, J., Zheng, G., Yang, J., Wang, J.,
Top Cloud Motion Field of Typhoon Megi-2016 Revealed by GF-4 Images,
GeoRS(57), No. 7, July 2019, pp. 4427-4444.
IEEE DOI 1907
Tropical cyclones, Clouds, Imaging, Spatial resolution, Wind, Sea surface, Cloud computing, Gaofen-4 (GF-4) satellite, tropical cyclones (TCs) BibRef

Zheng, Y.[Yuanmao], Shao, G.[Guofan], Tang, L.[Lina], He, Y.[Yuanrong], Wang, X.R.[Xiao-Rong], Wang, Y.[Yening], Wang, H.[Haowei],
Rapid Assessment of a Typhoon Disaster Based on NPP-VIIRS DNB Daily Data: The Case of an Urban Agglomeration along Western Taiwan Straits, China,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Chen, R.[Rui], Wang, X.[Xiang], Zhang, W.M.[Wei-Min], Zhu, X.[Xiaoyu], Li, A.[Aiping], Yang, C.[Chao],
A hybrid CNN-LSTM model for typhoon formation forecasting,
GeoInfo(23), No. 3, July 2019, pp. 375-396.
WWW Link. 1908
BibRef

Liou, Y.A.[Yuei-An], Liu, J.C.[Ji-Chyun], Liu, C.C.[Chung-Chih], Chen, C.H.[Chun-Hsu], Nguyen, K.A.[Kim-Anh], Terry, J.P.[James P.],
Consecutive Dual-Vortex Interactions between Quadruple Typhoons Noru, Kulap, Nesat and Haitang during the 2017 North Pacific Typhoon Season,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Stettner, D.[David], Velden, C.[Christopher], Rabin, R.[Robert], Wanzong, S.[Steve], Daniels, J.[Jaime], Bresky, W.[Wayne],
Development of Enhanced Vortex-Scale Atmospheric Motion Vectors for Hurricane Applications,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Haakman, K.[Koen], Sayol, J.M.[Juan-Manuel], van der Boog, C.G.[Carine G.], Katsman, C.A.[Caroline A.],
Statistical Characterization of the Observed Cold Wake Induced by North Atlantic Hurricanes,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Ning, J.[Jue], Xu, Q.[Qing], Feng, T.[Tao], Zhang, H.[Han], Wang, T.[Tao],
Upper Ocean Response to Two Sequential Tropical Cyclones over the Northwestern Pacific Ocean,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhang, H.[Han], Liu, X.H.[Xiao-Hui], Wu, R.[Renhao], Liu, F.[Fu], Yu, L.[Linghui], Shang, X.D.[Xiao-Dong], Qi, Y.F.[Yong-Feng], Wang, Y.[Yuan], Song, X.[Xunshu], Xie, X.H.[Xiao-Hui], Yang, C.H.[Cheng-Hao], Tian, D.[Di], Zhang, W.[Wenyan],
Ocean Response to Successive Typhoons Sarika and Haima (2016) Based on Data Acquired via Multiple Satellites and Moored Array,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Cheng, Y.C.[Yeuan-Chang], Yang, C.J.[Ci-Jian], Lin, J.C.[Jiun-Chuan],
Application for Terrestrial LiDAR on Mudstone Erosion Caused by Typhoons,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Alasgah, A.[Abdusalam], Jacob, M.[Maria], Jones, L.[Linwood], Schneider, L.[Larry],
Validation of the Hurricane Imaging Radiometer Forward Radiative Transfer Model for a Convective Rain Event,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Sun, Z.[Ziyao], Zhang, B.[Biao], Zhang, J.A.[Jun A.], Perrie, W.[William],
Examination of Surface Wind Asymmetry in Tropical Cyclones over the Northwest Pacific Ocean Using SMAP Observations,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef


Xu, Y., Yang, H., Cheng, M., Li, S.,
Cyclone Intensity Estimate with Context-Aware Cyclegan,
ICIP19(3417-3421)
IEEE DOI 1910
context-aware CycleGAN, cyclone intensity estimation, feature generation BibRef

Kim, S., Kim, H., Lee, J., Yoon, S., Kahou, S.E., Kashinath, K., Prabhat, M.,
Deep-Hurricane-Tracker: Tracking and Forecasting Extreme Climate Events,
WACV19(1761-1769)
IEEE DOI 1904
climatology, convolutional neural nets, data analysis, geophysics computing, learning (artificial intelligence), Videos BibRef

Combinido, J.S., Mendoza, J.R., Aborot, J.,
A Convolutional Neural Network Approach for Estimating Tropical Cyclone Intensity Using Satellite-based Infrared Images,
ICPR18(1474-1480)
IEEE DOI 1812
Feature extraction, Training, Satellites, Estimation, Clouds, Task analysis, Organizations BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Performance Evaluation, Comparison, Survey .


Last update:Dec 7, 2019 at 17:16:29