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.Y.[Xiao-Yu],
Li, A.P.[Ai-Ping],
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
Zheng, G.,
Liu, J.,
Yang, J.,
Li, X.,
Automatically Locate Tropical Cyclone Centers Using Top Cloud Motion
Data Derived From Geostationary Satellite Images,
GeoRS(57), No. 12, December 2019, pp. 10175-10190.
IEEE DOI
1912
Tropical cyclones, Spirals, Satellites, Sensors, Cloud computing,
Spatial resolution, Clouds, Geostationary satellite,
typhoon eye
BibRef
Yu, P.[Peng],
Johannessen, J.A.[Johnny A.],
Yan, X.H.[Xiao-Hai],
Geng, X.[Xupu],
Zhong, X.J.[Xiao-Jing],
Zhu, L.[Lin],
A Study of the Intensity of Tropical Cyclone Idai Using
Dual-Polarization Sentinel-1 Data,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Li, J.[Jian],
Hou, Y.J.[Yi-Jun],
Mo, D.X.[Dong-Xue],
Liu, Q.R.[Qing-Rong],
Zhang, Y.Z.[Yuan-Zhi],
Influence of Tropical Cyclone Intensity and Size on Storm Surge in
the Northern East China Sea,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Wang, J.[Jie],
Xu, Y.[Youpeng],
Yang, L.[Long],
Wang, Q.A.[Qi-Ang],
Yuan, J.[Jia],
Wang, Y.[Yuefeng],
Data Assimilation of High-Resolution Satellite Rainfall Product
Improves Rainfall Simulation Associated with Landfalling Tropical
Cyclones in the Yangtze River Delta,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Qian, B.[Bo],
Jiang, H.[Haiyan],
Weng, F.[Fuzhong],
Wu, Y.[Ying],
Climatology of Passive Microwave Brightness Temperatures in Tropical
Cyclones and their Relations to Storm Intensities as Seen by
FY-3B/MWRI,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Lee, J.[Juhyun],
Im, J.[Jungho],
Cha, D.H.[Dong-Hyun],
Park, H.[Haemi],
Sim, S.[Seongmun],
Tropical Cyclone Intensity Estimation Using Multi-Dimensional
Convolutional Neural Networks from Geostationary Satellite Data,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
Zhang, R.,
Liu, Q.,
Hang, R.,
Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional
Neural Network From Infrared and Water Vapor Images,
GeoRS(58), No. 1, January 2020, pp. 586-597.
IEEE DOI
2001
Tropical cyclones, Satellites, Data models, Estimation,
Microwave imaging, Clouds, Feature extraction, Rainfall intensity,
two-branch convolutional neural network (CNN)
BibRef
Lasota, E.,
Rohm, W.,
Guerova, G.,
Liu, C.,
A Comparison Between Ray-Traced GFS/WRF/ERA and GNSS Slant Path
Delays in Tropical Cyclone Meranti,
GeoRS(58), No. 1, January 2020, pp. 421-435.
IEEE DOI
2001
Global navigation satellite system, Delays, Atmospheric modeling,
Meteorology, Predictive models, Global Positioning System,
weather research and forecasting (WRF)
BibRef
Fan, S.,
Zhang, B.,
Mouche, A.A.,
Perrie, W.,
Zhang, J.A.,
Zhang, G.,
Estimation of Wind Direction in Tropical Cyclones Using C-Band
Dual-Polarization Synthetic Aperture Radar,
GeoRS(58), No. 2, February 2020, pp. 1450-1462.
IEEE DOI
2001
Synthetic aperture radar, Radar polarimetry, Wind speed,
Atmospheric modeling, Spaceborne radar, Radar measurements,
wind direction
BibRef
He, Q.[Qimin],
Zhang, K.[Kefei],
Wu, S.[Suqin],
Zhao, Q.Z.[Qing-Zhi],
Wang, X.M.[Xiao-Ming],
Shen, Z.[Zhen],
Li, L.J.[Long-Jiang],
Wan, M.F.[Mou-Feng],
Liu, X.Y.[Xiao-Yang],
Real-Time GNSS-Derived PWV for Typhoon Characterizations: A Case
Study for Super Typhoon Mangkhut in Hong Kong,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
Zhao, L.L.[Li-Ling],
Chen, Y.F.[Yi-Fei],
Sheng, V.S.[Victor S.],
A real-time typhoon eye detection method based on deep learning for
meteorological information forensics,
RealTimeIP(17), No. 1, February 2020, pp. 95-102.
WWW Link.
2002
BibRef
Hu, L.,
Ritchie, E.A.,
Tyo, J.S.,
Influence of Satellite Observation Angle to Tropical Cyclone
Intensity Estimation Using the Deviation Angle Variance Technique,
GeoRS(58), No. 5, May 2020, pp. 3703-3710.
IEEE DOI
2005
Deviation angle variance (DAV), satellite observation angle,
tropical cyclone (TC) intensity estimation
BibRef
Tymochko, S.[Sarah],
Munch, E.[Elizabeth],
Dunion, J.[Jason],
Corbosiero, K.[Kristen],
Torn, R.[Ryan],
Using persistent homology to quantify a diurnal cycle in hurricanes,
PRL(133), 2020, pp. 137-143.
Elsevier DOI
2005
Topological Data Analysis, Atmospheric science, Diurnal cycle, Image processing
BibRef
Sapp, J.W.,
Mouche, A.A.,
Jelenak, Z.,
Chang, P.S.,
Frasier, S.J.,
Comparison of the Sentinel-1B Synthetic Aperture Radar With Airborne
Microwave Sensors in an Extra-Tropical Cyclone,
GeoRS(58), No. 7, July 2020, pp. 4721-4729.
IEEE DOI
2006
Satellites, Aircraft, Spaceborne radar, Synthetic aperture radar,
Sea measurements, Wind speed, C-band, cross polarization,
scatterometry
BibRef
Wang, H.[Huimeng],
Du, Y.[Yunyan],
Yi, J.W.[Jia-Wei],
Wang, N.[Nan],
Liang, F.[Fuyuan],
Mining Evolution Patterns from Complex Trajectory Structures: A Case
Study of Mesoscale Eddies in the South China Sea,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Roman-Stork, H.L.[Heather L.],
Subrahmanyam, B.[Bulusu],
The Impact of the Madden-Julian Oscillation on Cyclone Amphan (2020)
and Southwest Monsoon Onset,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
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 .