24.8.6.8 Wind Sensing, Wind Speed, Radar, SAR, Wind from Sensors

Lin, W., Portabella, M.,
Toward an Improved Wind Quality Control for RapidScat,
GeoRS(55), No. 7, July 2017, pp. 3922-3930.
IEEE DOI 1706
Maximum likelihood estimation, Radar measurements, Rain, Sea measurements, Spaceborne radar, Wind, Quality control (QC), rain, scatterometer, singularity analysis (SA), winds BibRef

Ahsbahs, T.[Tobias], Badger, M.[Merete], Karagali, I.[Ioanna], Larsén, X.L.G.[Xiao-Li Guo],
Validation of Sentinel-1A SAR Coastal Wind Speeds Against Scanning LiDAR,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhou, L.Z.[Li-Zhang], Zheng, G.[Gang], Li, X.F.[Xiao-Feng], Yang, J.S.[Jing-Song], Ren, L.[Lin], Chen, P.[Peng], Zhang, H.G.[Hua-Guo], Lou, X.[Xiulin],
An Improved Local Gradient Method for Sea Surface Wind Direction Retrieval from SAR Imagery,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zheng, G.[Gang], Li, X.F.[Xiao-Feng], Zhou, L.Z.[Li-Zhang], Yang, J.S.[Jing-Song], Ren, L.[Lin], Chen, P.[Peng], Zhang, H.G.[Hua-Guo], Lou, X.L.[Xiu-Lin],
Development of a Gray-Level Co-Occurrence Matrix-Based Texture Orientation Estimation Method and Its Application in Sea Surface Wind Direction Retrieval From SAR Imagery,
GeoRS(56), No. 9, September 2018, pp. 5244-5260.
IEEE DOI 1809
Sea surface, Estimation, Optical surface waves, Surface texture, Synthetic aperture radar, Satellites, Surface waves, wind direction BibRef

Wang, H.[He], Yang, J.S.[Jing-Song], Mouche, A.[Alexis], Shao, W.Z.[Wei-Zeng], Zhu, J.H.[Jian-Hua], Ren, L.[Lin], Xie, C.H.[Chun-Hua],
GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Yu, Y.[Yi], Yang, X.F.[Xiao-Feng], Zhang, W.M.[Wei-Min], Duan, B.H.[Bo-Heng], Cao, X.Q.[Xiao-Qun], Leng, H.Z.[Hong-Ze],
Assimilation of Sentinel-1 Derived Sea Surface Winds for Typhoon Forecasting,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zhang, K., Xu, X., Han, B., Mansaray, L.R., Guo, Q., Huang, J.,
The Influence of Different Spatial Resolutions on the Retrieval Accuracy of Sea Surface Wind Speed With C-2PO Models Using Full Polarization C-Band SAR,
GeoRS(55), No. 9, September 2017, pp. 5015-5025.
IEEE DOI 1709
C-band SAR polarization, spatial sea surface wind speed resolution, wind speed BibRef

García-Morales, R.[Ricardo], López-Martínez, J.[Juana], Valdez-Holguin, J.E.[Jose Eduardo], Herrera-Cervantes, H.[Hugo], Espinosa-Chaurand, L.D.[Luis Daniel],
Environmental Variability and Oceanographic Dynamics of the Central and Southern Coastal Zone of Sonora in the Gulf of California,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Bourlier, C.,
Upwind-Downwind Asymmetry of the Sea Backscattering Normalized Radar Cross Section Versus the Skewness Function,
GeoRS(56), No. 1, January 2018, pp. 17-24.
IEEE DOI 1801
backscatter, geophysical signal processing, gravity waves, ocean waves, remote sensing by radar, wind, Bragg wavenumber, sea surface electromagnetic scattering BibRef

Risan, A.[Andrea], Lund, J.A.[John Amund], Chang, C.Y.[Chi-Yao], Sætran, L.[Lars],
Wind in Complex Terrain: Lidar Measurements for Evaluation of CFD Simulations,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Guo, Q.Y.[Qiao-Ying], Xu, X.Z.[Xia-Zhen], Zhang, K.Y.[Kang-Yu], Li, Z.Q.[Zheng-Quan], Huang, W.J.[Wei-Jiao], Mansaray, L.R.[Lamin R.], Liu, W.W.[Wei-Wei], Wang, X.Z.[Xiu-Zhen], Gao, J.[Jian], Huang, J.F.[Jing-Feng],
Assessing Global Ocean Wind Energy Resources Using Multiple Satellite Data,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Fang, H.[He], Xie, T.[Tao], Perrie, W.[William], Zhao, L.[Li], Yang, J.S.[Jing-Song], He, Y.J.[Yi-Jun],
Ocean Wind and Current Retrievals Based on Satellite SAR Measurements in Conjunction with Buoy and HF Radar Data,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Ren, L.[Lin], Yang, J.S.[Jing-Song], Mouche, A.[Alexis], Wang, H.[He], Wang, J.[Juan], Zheng, G.[Gang], Zhang, H.G.[Hua-Guo],
Preliminary Analysis of Chinese GF-3 SAR Quad-Polarization Measurements to Extract Winds in Each Polarization,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zecchetto, S.[Stefano],
Wind Direction Extraction from SAR in Coastal Areas,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Zhang, L.[Lei], Shi, H.Q.[Han-Qing], Wang, Z.Z.[Zhen-Zhan], Yu, H.[Hong], Yin, X.O.[Xia-Obin], Liao, Q.X.[Qi-Xiang],
Comparison of Wind Speeds from Spaceborne Microwave Radiometers with In Situ Observations and ECMWF Data over the Global Ocean,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Kubryakov, A.[Arseny], Plotnikov, E.[Evgeny], Stanichny, S.[Sergey],
Reconstructing Large- and Mesoscale Dynamics in the Black Sea Region from Satellite Imagery and Altimetry Data: A Comparison of Two Methods,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Yang, J.[Jungang], Zhang, J.[Jie],
Evaluation of ISS-RapidScat Wind Vectors Using Buoys and ASCAT Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

La, T.V., Khenchaf, A., Comblet, F., Nahum, C.,
Assessment of Wind Speed Estimation From C-Band Sentinel-1 Images Using Empirical and Electromagnetic Models,
GeoRS(56), No. 7, July 2018, pp. 4075-4087.
IEEE DOI 1807
backscatter, estimation theory, geophysical image processing, radar cross-sections, radar polarimetry, remote sensing by radar, synthetic aperture radar (SAR) BibRef

Miao, Y.J.[Yuan-Jing], Dong, X.L.[Xiao-Long], Bao, Q.L.[Qing-Liu], Zhu, D.[Di],
Perspective of a Ku-Ka Dual-Frequency Scatterometer for Simultaneous Wide-Swath Ocean Surface Wind and Current Measurement,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Fairley, P.,
Shining a light on global winds: The Aeolus satellite uses powerful lidar to measure wind speeds,
Spectrum(55), No. 9, September 2018, pp. 9-11.
IEEE DOI 1809
News item. BibRef

Shen, W.[Wei], Gurgel, K.W.[Klaus-Werner],
Wind Direction Inversion from Narrow-Beam HF Radar Backscatter Signals in Low and High Wind Conditions at Different Radar Frequencies,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Fang, H.[He], Xie, T.[Tao], Perrie, W.[William], Zhang, G.S.[Guo-Sheng], Yang, J.S.[Jing-Song], He, Y.J.[Yi-Jun],
Comparison of C-Band Quad-Polarization Synthetic Aperture Radar Wind Retrieval Models,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Shimada, S.[Susumu], Takeyama, Y.[Yuko], Kogaki, T.[Tetsuya], Ohsawa, T.[Teruo], Nakamura, S.[Satoshi],
Investigation of the Fetch Effect Using Onshore and Offshore Vertical LiDAR Devices,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
Off-shore wind measurements. BibRef

Gottschall, J.[Julia], Catalano, E.[Eleonora], Dörenkämper, M.[Martin], Witha, B.[Björn],
The NEWA Ferry Lidar Experiment: Measuring Mesoscale Winds in the Southern Baltic Sea,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Zhao, C., Chen, Z., He, C., Xie, F., Chen, X.,
A Hybrid Beam-Forming and Direction-Finding Method for Wind Direction Sensing Based on HF Radar,
GeoRS(56), No. 11, November 2018, pp. 6622-6629.
IEEE DOI 1811
Sea measurements, Radar measurements, Wind, Antenna measurements, Oceans, Current measurement, High-frequency (HF) radar, wind BibRef

Shen, H.[Hui], Seitz, C.[Chana], Perrie, W.[William], He, Y.J.[Yi-Jun], Powell, M.[Mark],
Developing a Quality Index Associated with Rain for Hurricane Winds from SAR,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Carr, J.L.[James L.], Wu, D.L.[Dong L.], Kelly, M.A.[Michael A.], Gong, J.[Jie],
MISR-GOES 3D Winds: Implications for Future LEO-GEO and LEO-LEO Winds,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Sun, T.Q.[Tian-Qi], Zhang, G.S.[Guo-Sheng], Perrie, W.[William], Zhang, B.[Biao], Guan, C.L.[Chang-Long], Khurshid, S.[Shahid], Warner, K.[Kerri], Sun, J.[Jian],
Ocean Wind Retrieval Models for RADARSAT Constellation Mission Compact Polarimetry SAR,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Fang, H.[He], Perrie, W.[William], Zhang, G.S.[Guo-Sheng], Xie, T.[Tao], Khurshid, S.[Shahid], Warner, K.[Kerri], Yang, J.S.[Jing-Song], He, Y.J.[Yi-Jun],
Ocean Surface Wind Speed Retrieval Using Simulated RADARSAT Constellation Mission Compact Polarimetry SAR Data,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Geldsetzer, T.[Torsten], Khurshid, S.K.[Shahid K.], Warner, K.[Kerri], Botelho, F.[Filipe], Flett, D.[Dean],
Wind Speed Retrieval from Simulated RADARSAT Constellation Mission Compact Polarimetry SAR Data for Marine Application,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Gao, Y.[Yuan], Guan, C.[Changlong], Sun, J.[Jian], Xie, L.[Lian],
A Wind Speed Retrieval Model for Sentinel-1A EW Mode Cross-Polarization Images,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Sapp, J.W.[Joseph W.], Alsweiss, S.O.[Suleiman O.], Jelenak, Z.[Zorana], Chang, P.S.[Paul S.], Carswell, J.[James],
Stepped Frequency Microwave Radiometer Wind-Speed Retrieval Improvements,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, K., Huang, J., Mansaray, L.R., Guo, Q., Wang, X.,
Developing a Subswath-Based Wind Speed Retrieval Model for Sentinel-1 VH-Polarized SAR Data Over the Ocean Surface,
GeoRS(57), No. 3, March 2019, pp. 1561-1572.
IEEE DOI 1903
atmospheric techniques, oceanography, radar cross-sections, radar imaging, radar interferometry, remote sensing by radar, wind speed retrieval BibRef

Cazau, D., Bonnel, J., Baumgartner, M.,
Wind Speed Estimation Using Acoustic Underwater Glider in a Near-Shore Marine Environment,
GeoRS(57), No. 4, April 2019, pp. 2097-2106.
IEEE DOI 1904
atmospheric boundary layer, atmospheric techniques, calibration, oceanographic regions, regression analysis, underwater sound, wind, outlier-robust regression model BibRef

Zhang, T.Y.[Tian-Yu], Li, X.M.[Xiao-Ming], Feng, Q.[Qian], Ren, Y.Z.[Yong-Zheng], Shi, Y.N.[Ying-Ni],
Retrieval of Sea Surface Wind Speeds from Gaofen-3 Full Polarimetric Data,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Medina, B.L.[Bruno L.], Carey, L.D.[Lawrence D.], Amiot, C.G.[Corey G.], Mecikalski, R.M.[Retha M.], Roeder, W.P.[William P.], McNamara, T.M.[Todd M.], Blakeslee, R.J.[Richard J.],
A Random Forest Method to Forecast Downbursts Based on Dual-Polarization Radar Signatures,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

He, W.W.[Wei-Wei], Wu, K.[Kuijun], Feng, Y.[Yutao], Fu, D.[Di], Chen, Z.W.[Zhen-Wei], Li, F.Q.[Fa-Quan],
The Near-Space Wind and Temperature Sensing Interferometer: Forward Model and Measurement Simulation,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Fore, A.G.[Alexander G.], Yueh, S.H.[Simon H.], Stiles, B.W.[Bryan W.], Tang, W.Q.[Wen-Qing], Hayashi, A.K.[Akiko K.],
On Extreme Winds at L-Band with the SMAP Synthetic Aperture Radar,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Hutchings, N., Long, D.G.,
Improved Ultrahigh-Resolution Wind Retrieval for RapidScat,
GeoRS(57), No. 6, June 2019, pp. 3370-3379.
IEEE DOI 1906
Wind, Sea measurements, Azimuth, Estimation, Oceans, Radar measurements, Antenna measurements, Radar scattering, wind BibRef

Corcione, V., Grieco, G., Portabella, M., Nunziata, F., Migliaccio, M.,
A Novel Azimuth Cutoff Implementation to Retrieve Sea Surface Wind Speed From SAR Imagery,
GeoRS(57), No. 6, June 2019, pp. 3331-3340.
IEEE DOI 1906
Azimuth, Synthetic aperture radar, Sea surface, Wind speed, Estimation, Radar measurements, Cutoff frequency, sea surface, synthetic aperture radar BibRef

Li, L.F.[Lian-Fa],
Geographically Weighted Machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Zhang, J.Q.[Jin-Qiang], Chen, H.B.[Hong-Bin], Zhu, Y.L.[Yan-Liang], Shi, H.R.[Hong-Rong], Zheng, Y.T.[You-Tong], Xia, X.G.[Xian-Gao], Teng, Y.P.[Yu-Peng], Wang, F.[Fei], Han, X.L.[Xin-Lei], Li, J.[Jun], Xuan, Y.J.[Yue-Jian],
A Novel Method for Estimating the Vertical Velocity of Air with a Descending Radiosonde System,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Nilsen, V., Engen, G., Johnsen, H.,
A Novel Approach to SAR Ocean Wind Retrieval,
GeoRS(57), No. 9, September 2019, pp. 6986-6995.
IEEE DOI 1909
Synthetic aperture radar, Oceans, Azimuth, Wind forecasting, Sea measurements, Ocean image cross spectra, ocean surface wind, synthetic aperture radar (SAR) BibRef

Ren, L., Yang, J., Mouche, A.A., Wang, H., Zheng, G., Wang, J., Zhang, H., Lou, X., Chen, P.,
Assessments of Ocean Wind Retrieval Schemes Used for Chinese Gaofen-3 Synthetic Aperture Radar Co-Polarized Data,
GeoRS(57), No. 9, September 2019, pp. 7075-7085.
IEEE DOI 1909
Synthetic aperture radar, Radar measurements, Wind speed, Data models, Oceans, Mathematical model, Assessments, retrieval scheme BibRef

García-Pereda, J.[Javier], Fernández-Serdán, J.M.[José Miguel], Alonso, Ó.[Óscar], Sanz, A.[Adrián], Guerra, R.[Rocío], Ariza, C.[Cristina], Santos, I.[Inés], Fernández, L.[Laura],
NWCSAF High Resolution Winds (NWC/GEO-HRW) Stand-Alone Software for Calculation of Atmospheric Motion Vectors and Trajectories,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Carr, J.L.[James L.], Wu, D.L.[Dong L.], Wolfe, R.E.[Robert E.], Madani, H.[Houria], Lin, G.Q.(.[Guo-Qing (Gary)], Tan, B.[Bin],
Joint 3D-Wind Retrievals with Stereoscopic Views from MODIS and GOES,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Maschhoff, K.[Kevin], Polizotti, J.[John], Aumann, H.[Hartmut], Susskind, J.[Joel], Bowler, D.[Dennis], Gittins, C.[Christopher], Janelle, M.[Mark], Fingerman, S.[Samuel],
Concept Development and Risk Reduction for MISTiC Winds, A Micro-Satellite Constellation Approach for Vertically Resolved Wind and IR Sounding Observations in the Troposphere,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Natsume, M.[Muneyuki],
Wind Condition Analysis of Japanese Rural Landscapes in the 19th Century: A Case Study of Kichijoji Village in Musashino Upland,
IJGI(8), No. 9, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Oh, S.M.[Soo Min], Borde, R.[Régis], Carranza, M.[Manuel], Shin, I.C.[In-Chul],
Development and Intercomparison Study of an Atmospheric Motion Vector Retrieval Algorithm for GEO-KOMPSAT-2A,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Borde, R.[Régis], Carranza, M.[Manuel], Hautecoeur, O.[Olivier], Barbieux, K.[Kevin],
Winds of Change for Future Operational AMV at EUMETSAT,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
European Organization for the Exploitation of Meteorological Satellites. atmospheric motion vector. BibRef

Santek, D.[David], Dworak, R.[Richard], Nebuda, S.[Sharon], Wanzong, S.[Steve], Borde, R.[Régis], Genkova, I.[Iliana], García-Pereda, J.[Javier], Negri, R.G.[Renato Galante], Carranza, M.[Manuel], Nonaka, K.[Kenichi], Shimoji, K.[Kazuki], Oh, S.M.[Soo Min], Lee, B.I.[Byung-Il], Chung, S.R.[Sung-Rae], Daniels, J.[Jaime], Bresky, W.[Wayne],
2018 Atmospheric Motion Vector (AMV) Intercomparison Study,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Allabakash, S., Lim, S., Yasodha, P., Kim, H., Lee, G.,
Intermittent Clutter Suppression Method Based on Adaptive Harmonic Wavelet Transform for L-Band Radar Wind Profiler,
GeoRS(57), No. 11, November 2019, pp. 8546-8556.
IEEE DOI 1911
Clutter, Birds, Frequency-domain analysis, Contamination, Harmonic analysis, Radar clutter, Clutter, signal processing, wind profiler BibRef

Guo, Q.Y.[Qiao-Ying], Huang, R.[Ran], Zhuang, L.W.[Li-Wei], Zhang, K.Y.[Kang-Yu], Huang, J.F.[Jing-Feng],
Assessment of China's Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Meng, X.L.[Xiao-Lin], Nguyen, D.T.[Dinh Tung], Owen, J.S.[John S.], Xie, Y.[Yilin], Psimoulis, P.[Panagiotis], Ye, G.[George],
Application of GeoSHM System in Monitoring Extreme Wind Events at the Forth Road Bridge,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhao, K.[Ke], Zhao, C.F.[Chao-Fang],
Evaluation of HY-2A Scatterometer Ocean Surface Wind Data during 2012-2018,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Sha, J.[Jin], Li, X.M.[Xiao-Ming], Chen, X.[Xue'en], Zhang, T.Y.[Tian-Yu],
Satellite Observations of Wind Wake and Associated Oceanic Thermal Responses: A Case Study of Hainan Island Wind Wake,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Hutchings, N.[Nolan], Kilpatrick, T.[Thomas], Long, D.G.[David G.],
Ultrahigh Resolution Scatterometer Winds near Hawaii,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Zhang, Y.[Ying], Guo, J.P.[Jian-Ping], Yang, Y.J.[Yuan-Jian], Wang, Y.[Yu], Yim, S.H.L.[Steve H.L.],
Vertica Wind Shear Modulates Particulate Matter Pollutions: A Perspective from Radar Wind Profiler Observations in Beijing, China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Gusatu, L.F.[Laura Florentina], Yamu, C.[Claudia], Zuidema, C.[Christian], Faaij, A.[André],
A Spatial Analysis of the Potentials for Offshore Wind Farm Locations in the North Sea Region: Challenges and Opportunities,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Pan, J.Y.[Jia-Yi], Devlin, A.T.[Adam T.], Lin, H.[Hui],
Wind-Forced Delayed Action Oscillator in Tropical Oceans with Satellite Multi-Sensor Observations,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Banakh, V.A.[Viktor A.], Smalikho, I.N.[Igor N.], Falits, A.V.[Andrey V.],
Wind-Temperature Regime and Wind Turbulence in a Stable Boundary Layer of the Atmosphere: Case Study,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Xu, W.Q.[Wen-Qing], Ning, L.[Like], Luo, Y.[Yong],
Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Xu, X., Stoffelen, A.,
Improved Rain Screening for Ku-Band Wind Scatterometry,
GeoRS(58), No. 4, April 2020, pp. 2494-2503.
IEEE DOI 2004
Rain, Radar measurements, Maximum likelihood estimation, Spaceborne radar, Wind, Sea surface, False alarms, spatial characteristics BibRef

Zhao, C., Chen, Z., Li, J., Zhang, L., Huang, W., Gill, E.W.,
Wind Direction Estimation Using Small-Aperture HF Radar Based on a Circular Array,
GeoRS(58), No. 4, April 2020, pp. 2745-2754.
IEEE DOI 2004
High frequency (HF) radar, superdirective beamforming, wind direction BibRef

Basse, A.[Alexander], Pauscher, L.[Lukas], Callies, D.[Doron],
Improving VerticalWind Speed Extrapolation Using Short-Term Lidar Measurements,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Shimada, S.[Susumu], Goit, J.P.[Jay Prakash], Ohsawa, T.[Teruo], Kogaki, T.[Tetsuya], Nakamura, S.[Satoshi],
Coastal Wind Measurements Using a Single Scanning LiDAR,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Hu, T.[Tangao], Li, Y.[Yue], Li, Y.[Yao], Wu, Y.[Yiyue], Zhang, D.[Dengrong],
Retrieval of Sea Surface Wind Fields Using Multi-Source Remote Sensing Data,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Ribal, A.[Agustinus], Young, I.R.[Ian R.],
Global Calibration and Error Estimation of Altimeter, Scatterometer, and Radiometer Wind Speed Using Triple Collocation,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Ku, C.A.[Chia-An], Tsai, H.K.[Hung-Kai],
Evaluating the Influence of Urban Morphology on Urban Wind Environment Based on Computational Fluid Dynamics Simulation,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Bayer, F.M., Bayer, D.M., Marinoni, A., Gamba, P.,
A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation,
GeoRS(58), No. 7, July 2020, pp. 4989-4999.
IEEE DOI 2006
Autoregressive processes, Synthetic aperture radar, Remote sensing, Data models, Wind speed, Feature extraction, wind speed BibRef

Bayer, D.M., Bayer, F.M., Gamba, P.,
A 3-D Spatiotemporal Model for Remote Sensing Data Cubes,
GeoRS(59), No. 2, February 2021, pp. 1082-1093.
IEEE DOI 2101
Solid modeling, Data models, Satellites, Estimation, Anomaly detection, Spatiotemporal phenomena, Remote sensing, spatiotemporal data BibRef

Peng, F., Deng, X.,
Validation of Wind Speeds From Brown-Peaky Retracker in the Gulf of Mexico and East Coast of North America,
GeoRS(58), No. 8, August 2020, pp. 5793-5803.
IEEE DOI 2007
Wind speed, Fluid flow measurement, Sea measurements, Backscatter, Sea surface, Rough surfaces, Anemometer, backscatter coefficient, wind speed BibRef

Barleben, A.[Axel], Haussler, S.[Stéphane], Müller, R.[Richard], Jerg, M.[Matthias],
A Novel Approach for Satellite-Based Turbulence Nowcasting for Aviation,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Araya, I.A.[Ignacio A.], Valle, C.[Carlos], Allende, H.[Héctor],
A Multi-Scale Model based on the Long Short-Term Memory for day ahead hourly wind speed forecasting,
PRL(136), 2020, pp. 333-340.
Elsevier DOI 2008
Artificial neural networks, Multi-scale, Long Short-Term Memory, Wind speed forecasting BibRef

Ryu, S.[Sumin], Hong, S.E.[Sung-Eun], Park, J.D.[Jun-Dong], Hong, S.[Sungwook],
An Improved Conversion Relationship between Tropical Cyclone Intensity Index and Maximum Wind Speed for the Advanced Dvorak Technique in the Northwestern Pacific Ocean Using SMAP Data,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Smalikho, I.N.[Igor N.], Banakh, V.A.[Viktor A.],
Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Wang, H.Y.[Hao-Yu], Juang, J.C.[Jyh-Ching],
Retrieval of Ocean Surface Wind Speed Using Reflected BPSK/BOC Signals,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Young, I.R.[Ian R.], Kirezci, E.[Ebru], Ribal, A.[Agustinus],
The Global Wind Resource Observed by Scatterometer,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Nishimura, K., Kohma, M., Sato, K., Sato, T.,
Spectral Observation Theory and Beam Debroadening Algorithm for Atmospheric Radar,
GeoRS(58), No. 10, October 2020, pp. 6767-6775.
IEEE DOI 2009
Radar antennas, Correlation, Atmospheric measurements, Wind speed, Radar remote sensing, Antarctica, Atmospheric radar, turbulence BibRef

Yan, Q.S.[Qiu-Shuang], Fan, C.Q.[Chen-Qing], Zhang, J.[Jie], Meng, J.M.[Jun-Min],
Understanding Ku-Band Ocean Radar Backscatter at Low Incidence Angles under Weak to Severe Wind Conditions by Comparison of Measurements and Models,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Li, X.M.[Xiao-Ming], Qin, T.T.[Ting-Ting], Wu, K.[Ke],
Retrieval of Sea Surface Wind Speed from Spaceborne SAR over the Arctic Marginal Ice Zone with a Neural Network,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Corazza, A.[Alexandre], Khenchaf, A.[Ali], Comblet, F.[Fabrice],
Assessment of Wind Direction Estimation Methods from SAR Images,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Carr, J.L.[James L.], Wu, D.L.[Dong L.], Daniels, J.[Jaime], Friberg, M.D.[Mariel D.], Bresky, W.[Wayne], Madani, H.[Houria],
GEO-GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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And: Correction: RS(15), No. 11, 2023, pp. 2863.
DOI Link 2306
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Lang, T.J.[Timothy J.],
Comparing Winds near Tropical Oceanic Precipitation Systems with and without Lightning,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Turk, F.J.[Francis Joseph], Hristova-Veleva, S.[Svetla], Giglio, D.[Donata],
Examination of the Daily Cycle Wind Vector Modes of Variability from the Constellation of Microwave Scatterometers and Radiometers,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Rana, F.M.[Fabio Michele], Adamo, M.[Maria],
Multi-Scale LG-Mod Analysis for a More Reliable SAR Sea Surface Wind Directions Retrieval,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Taylor, W.O., Anagnostou, M.N., Cerrai, D., Anagnostou, E.N.,
Machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020),
GeoRS(59), No. 4, April 2021, pp. 2810-2821.
IEEE DOI 2104
Sea measurements, Acoustics, Acoustic measurements, Machine learning, Oceans, Wind speed, CatBoost, classification, wind BibRef

Zhang, C.M.[Chun-Min], Du, X.[Xiao], Yan, T.Y.[Ting-Yu], Li, G.X.[Gui-Xiu],
Research on Instrument Visibility of Ozone Wind Imaging Interferometer,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Gu, Y.Y.[Yuan-Yuan], Katul, G.G.[Gabriel G.], Cassar, N.[Nicolas],
Mesoscale Temporal Wind Variability Biases Global Air-Sea Gas Transfer Velocity of CO2 and Other Slightly Soluble Gases,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Saviano, S.[Simona], Esposito, G.[Giovanni], di Lemma, R.[Roberta], de Ruggiero, P.[Paola], Zambianchi, E.[Enrico], Pierini, S.[Stefano], Falco, P.[Pierpaolo], Buonocore, B.[Berardino], Cianelli, D.[Daniela], Uttieri, M.[Marco],
Wind Direction Data from a Coastal HF Radar System in the Gulf of Naples (Central Mediterranean Sea),
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Yu, L.[Lisan],
Emerging Pattern of Wind Change over the Eurasian Marginal Seas Revealed by Three Decades of Satellite Ocean-Surface Wind Observations,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Barbieux, K.[Kévin], Hautecoeur, O.[Olivier], de Bartolomei, M.[Maurizio], Carranza, M.[Manuel], Borde, R.[Régis],
The Sentinel-3 SLSTR Atmospheric Motion Vectors Product at EUMETSAT,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
I.e. from cloud or vapor motions. BibRef

Ye, H.J.[Hai-Jun], Li, J.M.[Jun-Min], Li, B.[Bo], Liu, J.L.[Jun-Liang], Tang, D.L.[Dan-Ling], Chen, W.Y.[Wu-Yang], Yang, H.Q.[Hong-Qiang], Zhou, F.[Fenghua], Zhang, R.W.[Rong-Wang], Wang, S.[Sufen], Tang, S.L.[Shi-Lin],
Evaluation of CFOSAT Scatterometer Wind Data in Global Oceans,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Gao, Y.[Yuan], Sun, J.[Jian], Zhang, J.[Jie], Guan, C.L.[Chang-Long],
Extreme Wind Speeds Retrieval Using Sentinel-1 IW Mode SAR Data,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Shi, X.J.[Xin-Jie], Duan, B.H.[Bo-Heng], Ren, K.J.[Kai-Jun],
A More Accurate Field-to-Field Method towards the Wind Retrieval of HY-2B Scatterometer,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Sun, C.J.[Chu-Jin], Zhang, F.[Fan], Zhao, P.J.[Peng-Ju], Zhao, X.Y.[Xin-Yi], Huang, Y.[Yuli], Lu, X.Z.[Xin-Zheng],
Automated Simulation Framework for Urban Wind Environments Based on Aerial Point Clouds and Deep Learning,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Wang, Y.[Yi], Li, B.[Bo], Zhang, J.[Jiang], Ling, Z.C.[Zong-Cheng], Qiao, L.[Le], Chen, S.B.[Sheng-Bo], Qu, S.J.[Shao-Jie],
The Preliminary Study of Dust Devil Tracks in Southern Utopia Planitia, Landing Area of Tianwen-1 Mission,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Liu, H.Y.[Hao-Yu], Liu, C.[Chen], He, S.[Shibo], Chen, J.M.[Ji-Ming],
Short-Term Strong Wind Risk Prediction for High-Speed Railway,
ITS(22), No. 7, July 2021, pp. 4243-4255.
IEEE DOI 2107
Wind forecasting, Wind speed, Rail transportation, Sensors, Time series analysis, Safety, Real-time systems, train running safety BibRef

Zhang, Y.J.[Yi-Jia], Hu, H.[Hao], Weng, F.Z.[Fu-Zhong],
The Potential of Satellite Sounding Observations for Deriving Atmospheric Wind in All-Weather Conditions,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Capozzi, V.[Vincenzo], Annella, C.[Clizia], Montopoli, M.[Mario], Adirosi, E.[Elisa], Fusco, G.[Giannetta], Budillon, G.[Giorgio],
Influence of Wind-Induced Effects on Laser Disdrometer Measurements: Analysis and Compensation Strategies,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Lu, Y.M.[Yu-Ming], Wu, B.F.[Bing-Fang], Yan, N.[Nana], Zhu, W.W.[Wei-Wei], Zeng, H.W.[Hong-Wei], Ma, Z.H.[Zong-Han], Xu, J.M.[Jia-Ming], Wu, X.H.[Xing-Hua], Pang, B.[Bo],
Quantifying the Contributions of Environmental Factors to Wind Characteristics over 2000-2019 in China,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Reiche, C.[Colleen], Cohen, A.P.[Adam P.], Fernando, C.[Chris],
An Initial Assessment of the Potential Weather Barriers of Urban Air Mobility,
ITS(22), No. 9, September 2021, pp. 6018-6027.
IEEE DOI 2109
Meteorology, Urban areas, Aircraft, Wind, NASA, Statistics, Sociology, Advanced air mobility (AAM), on-demand air mobility, barriers, weather BibRef

Wan, Y.[Yong], Guo, S.[Sheng], Li, L.G.[Li-Gang], Qu, X.J.[Xiao-Jun], Dai, Y.S.[Yong-Shou],
Data Quality Evaluation of Sentinel-1 and GF-3 SAR for Wind Field Inversion,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Meng, L.C.[Li-Chun], Pedersen, C.[Christian], Rodrigo, P.J.[Peter John],
CW Direct Detection Lidar with a Large Dynamic Range of Wind Speed Sensing in a Remote and Spatially Confined Volume,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Ricciardulli, L.[Lucrezia], Manaster, A.[Andrew],
Intercalibration of ASCAT Scatterometer Winds from MetOp-A, -B, and -C, for a Stable Climate Data Record,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhao, Y.F.[Yue-Feng], Zhang, X.J.[Xiao-Jie], Zhang, Y.R.[Yu-Rong], Ding, J.X.[Jin-Xin], Wang, K.[Kun], Gao, Y.[Yuhou], Su, R.[Runsong], Fang, J.[Jing],
Data Processing and Analysis of Eight-Beam Wind Profile Coherent Wind Measurement Lidar,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Park, S.H.[Sung-Hwan], Yoo, J.[Jeseon], Son, D.[Donghwi], Kim, J.[Jinah], Jung, H.S.[Hyung-Sup],
Improved Calibration of Wind Estimates from Advanced Scatterometer MetOp-B in Korean Seas Using Deep Neural Network,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Long, Y.[Yunxia], Xu, C.C.[Chang-Chun], Liu, F.[Fang], Liu, Y.C.[Yong-Chang], Yin, G.[Gang],
Evaluation and Projection of Wind Speed in the Arid Region of Northwest China Based on CMIP6,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Koukofikis, A.[Athanasios], Coors, V.[Volker],
A Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments by Employing OGC Standards,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef
Earlier:
Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments by Employing OGC Standards,
GeoInfo20(71-74).
DOI Link 2012
BibRef

Gao, Y.[Yuan], Zhang, J.[Jie], Guan, C.[Changlong], Sun, J.[Jian],
Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wright, E.E.[Ethan E.], Bourassa, M.A.[Mark A.], Stoffelen, A.[Ad], Bidlot, J.R.[Jean-Raymond],
Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Panfilova, M.[Maria], Karaev, V.[Vladimir],
Wind Speed Retrieval Algorithm Using Ku-Band Radar Onboard GPM Satellite,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Panfilova, M.[Maria], Karaev, V.[Vladimir],
Gale Wind Speed Retrieval Algorithm Using Ku-Band Radar Data Onboard GPM Satellite,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Tollinger, M.[Mathias], Graversen, R.[Rune], Johnsen, H.[Harald],
High-Resolution Polar Low Winds Obtained from Unsupervised SAR Wind Retrieval,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Gu, S.Y.[Sheng-Yang], Hou, X.[Xin], Li, N.[Na], Yi, W.[Wen], Ding, Z.H.[Zong-Hua], Chen, J.S.[Jin-Song], Hu, G.Y.[Guo-Yuan], Dou, X.[Xiankang],
First Comparative Analysis of the Simultaneous Horizontal Wind Observations by Collocated Meteor Radar and FPI at Low Latitude through 892.0-nm Airglow Emission,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Kozubek, M.[Michal], Laštovicka, J.[Jan], Zajicek, R.[Radek],
Climatology and Long-Term Trends in the Stratospheric Temperature and Wind Using ERA5,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Longépé, N.[Nicolas], Mouche, A.A.[Alexis A.], Ferro-Famil, L.[Laurent], Husson, R.[Romain],
Co-Cross-Polarization Coherence Over the Sea Surface From Sentinel-1 SAR Data: Perspectives for Mission Calibration and Wind Field Retrieval,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Wind, Synthetic aperture radar, Sea measurements, Spaceborne radar, Sea surface, Radar, Wind speed, Dual-polarization, wind field retrieval BibRef

Nekrasov, A.[Alexey], Khachaturian, A.[Alena],
Towards the Sea Wind Measurement with the Airborne Scatterometer Having the Rotating-Beam Antenna Mounted over Fuselage,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Giglio, D.[Donata], Gille, S.T.[Sarah T.], Cornuelle, B.D.[Bruce D.], Subramanian, A.C.[Aneesh C.], Turk, F.J.[F. Joseph], Hristova-Veleva, S.[Svetla], Northcott, D.[Devon],
Annual Modulation of Diurnal Winds in the Tropical Oceans,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Liu, J.[Jia], Sun, Y.J.[Yong-Jian], Ren, K.J.[Kai-Jun], Zhao, Y.[Yanlai], Deng, K.[Kefeng], Wang, L.[Lizhe],
A Spatial Downscaling Approach for WindSat Satellite Sea Surface Wind Based on Generative Adversarial Networks and Dual Learning Scheme,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Xiao, Y.[Yao], Tang, Y.[Youmin], Tan, X.X.[Xiao-Xiao], Wu, Y.L.[Yan-Ling], Yao, Z.X.[Zhi-Xiong],
The SST-Wind Causal Relationship during the Development of the IOD in Observations and Model Simulations,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

King, G.P.[Gregory P.], Portabella, M.[Marcos], Lin, W.M.[Wen-Ming], Stoffelen, A.[Ad],
Correlating Extremes in Wind Divergence with Extremes in Rain over the Tropical Atlantic,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Jiang, C.[Chong], Ren, L.[Lin], Yang, J.S.[Jing-Song], Xu, Q.[Qing], Dai, J.Y.[Jin-Yuan],
Wind Speed Retrieval Using Global Precipitation Measurement Dual-Frequency Precipitation Radar Ka-Band Data at Low Incidence Angles,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Wang, X.C.[Xiao-Chen], Hu, Y.X.[Yu-Xin], Han, B.[Bing], Yuan, X.Z.[Xin-Zhe], Yang, J.X.[Jun-Xin], Duan, J.T.[Ji-Tong],
Influence of Residual Amplitude and Phase Error for GF-3 Quad-Polarization SAR on Wind Vector Retrieval,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Owda, A.[Abdalmenem], Badger, M.[Merete],
Wind Speed Variation Mapped Using SAR before and after Commissioning of Offshore Wind Farms,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Hatfield, D.[Daniel], Hasager, C.B.[Charlotte Bay], Karagali, I.[Ioanna],
Comparing Offshore Ferry Lidar Measurements in the Southern Baltic Sea with ASCAT, FINO2 and WRF,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
wind measurement techniques available in deep water areas. BibRef

Rana, F.M.[Fabio Michele], Adamo, M.[Maria],
Uncertainty Analysis in SAR Sea Surface Wind Speed Retrieval through C-Band Geophysical Model Functions Inversion,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Djath, B.[Bughsin'], Schulz-Stellenfleth, J.[Johannes], Cañadillas, B.[Beatriz],
Study of Coastal Effects Relevant for Offshore Wind Energy Using Spaceborne Synthetic Aperture Radar (SAR),
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Xu, Q.[Qing], Li, Y.Z.[Yi-Zhi], Cheng, Y.C.[Yong-Cun], Ye, X.M.[Xiao-Min], Zhang, Z.H.[Zeng-Hai],
Impacts of Climate Oscillation on Offshore Wind Resources in China Seas,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yang, J.X.[Jun-Xin], Han, B.[Bing], Zhong, L.H.[Li-Hua], Yuan, X.Z.[Xin-Zhe], Wang, X.C.[Xiao-Chen], Hu, Y.X.[Yu-Xin], Ding, C.B.[Chi-Biao],
First Assessment of GF3-02 SAR Ocean Wind Retrieval,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Hu, H.[Haize], Li, Y.Y.[Yun-Yi], Zhang, X.P.[Xiang-Ping], Fang, M.G.[Meng-Ge],
A novel hybrid model for short-term prediction of wind speed,
PR(127), 2022, pp. 108623.
Elsevier DOI 2205
Short-term, Wind speed, Hybrid model, GWO, SVM BibRef

Chen, C.X.[Chao-Xiang], Ye, S.P.[Shi-Ping], Bai, Z.[Zhican], Wang, J.[Juan], Nedzved, A.[Alexander], Ablameyko, S.[Sergey],
Intelligent Mining of Urban Ventilated Corridor Based on Digital Surface Model under the Guidance of K-Means,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
Urban wind patterns, from terrain and buildings. BibRef

Giraldo, G.[Gabriel], Servières, M.[Myriam], Moreau, G.[Guillaume],
Towards a Sensitive Urban Wind Representation in Virtual Reality,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Wyatt, L.R.[Lucy R.],
Progress towards an HF Radar Wind Speed Measurement Method Using Machine Learning,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhang, D.[Dong], Zhang, H.M.[Hui-Ming], Zhou, Y.[Yong], Cutler, M.E.J.[Mark E. J.], Cui, D.D.[Dan-Dan],
An Evaluation of Wind Turbine-Induced Topographic Change in the Offshore Intertidal Sandbank Using Remote Sensing-Constructed Digital Elevation Model Data,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yu, P.[Peng], Xu, W.X.[Wen-Xiang], Zhong, X.J.[Xiao-Jing], Johannessen, J.A.[Johnny A.], Yan, X.H.[Xiao-Hai], Geng, X.[Xupu], He, Y.R.[Yuan-Rong], Lu, W.F.[Wen-Fang],
A Neural Network Method for Retrieving Sea Surface Wind Speed for C-Band SAR,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zeng, J.[Jie], Yi, W.[Wen], Xue, X.H.[Xiang-Hui], Reid, I.[Iain], Hao, X.J.[Xiao-Jing], Li, N.[Na], Chen, J.S.[Jin-Song], Chen, T.[Tingdi], Dou, X.[Xiankang],
Comparison between the Mesospheric Winds Observed by Two Collocated Meteor Radars at Low Latitudes,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Xie, X.T.[Xue-Tong], Wang, J.[Jing], Lin, M.S.[Ming-Sen],
High Wind Geophysical Model Function Modeling for the HY-2A Scatterometer Using Neural Network,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Ortiz-Amezcua, P.[Pablo], Martínez-Herrera, A.[Alodía], Manninen, A.J.[Antti J.], Pentikäinen, P.P.[Pyry P.], O'Connor, E.J.[Ewan J.], Guerrero-Rascado, J.L.[Juan Luis], Alados-Arboledas, L.[Lucas],
Wind and Turbulence Statistics in the Urban Boundary Layer over a Mountain-Valley System in Granada, Spain,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Hoeser, T.[Thorsten], Kuenzer, C.[Claudia],
SyntEO: Synthetic dataset generation for earth observation and deep learning: Demonstrated for offshore wind farm detection,
PandRS(189), 2022, pp. 163-184.
Elsevier DOI 2206
SyntEO, Synthetic training data, Explainable machine learning, Deep learning, CNN, Offshore wind farm BibRef

Ricciardulli, L.[Lucrezia], Foltz, G.R.[Gregory R.], Manaster, A.[Andrew], Meissner, T.[Thomas],
Assessment of Saildrone Extreme Wind Measurements in Hurricane Sam Using MW Satellite Sensors,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Liu, S.[Shubo], Li, Y.[Yinan], Yang, X.J.[Xiao-Jiao], Zhou, W.[Wu], Lv, A.[Ailing], Jin, X.[Xu], Dang, H.X.[Hong-Xing],
Sea Surface Wind Retrieval under Rainy Conditions from Active and Passive Microwave Measurements,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, N.[Ning], Yue, X.[Xinan], Ding, F.[Feng], Ning, B.Q.[Bai-Qi], Wang, J.[Junyi], Luo, J.H.[Jun-Hao], Wang, Y.H.[Yong-Hui], Li, M.Y.[Ming-Yuan], Cai, Y.H.[Yi-Hui],
Initial Tropospheric Wind Observations by Sanya Incoherent Scatter Radar,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Roman-Stork, H.L.[Heather L.], Bourassa, M.A.[Mark A.],
Analysis of the 10-20-Day Intraseasonal Oscillation in the Indian Ocean Using Surface Winds,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, D.Q.[De-Qiang], Huang, C.R.[Chuan-Rong], Feng, J.[Jie],
Influence of Assimilating Wind Profiling Radar Observations in Distinct Dynamic Instability Regions on the Analysis and Forecast of an Extreme Rainstorm Event in Southern China,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Pryor, K.[Kenneth], Demoz, B.[Belay],
A Retrospective Satellite Analysis of the June 2012 North American Derecho,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Shi, X.J.[Xin-Jie], Duan, B.H.[Bo-Heng], Ren, K.J.[Kai-Jun],
F2F-NN: A Field-to-Field Wind Speed Retrieval Method of Microwave Radiometer Data Based on Deep Learning,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Graßl, S.[Sandra], Ritter, C.[Christoph], Schulz, A.[Alexander],
The Nature of the Ny-Alesund Wind Field Analysed by High-Resolution Windlidar Data,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Mulero-Martinez, R.[Roberto], Román-Cascón, C.[Carlos], Mañanes, R.[Rafael], Izquierdo, A.[Alfredo], Bruno, M.[Miguel], Gómez-Enri, J.[Jesús],
The Use of Sentinel-3 Altimetry Data to Assess Wind Speed from the Weather Research and Forecasting (WRF) Model: Application over the Gulf of Cadiz,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, X.H.[Xiao-Hui], Yang, J.S.[Jing-Song], Wang, J.[Jiuke], Han, G.Q.[Guo-Qi],
Evaluation and Calibration of Remotely Sensed High Winds from the HY-2B/C/D Scatterometer in Tropical Cyclones,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Vogelzang, J.[Jur], Stoffelen, A.[Ad],
On the Accuracy and Consistency of Quintuple Collocation Analysis of In Situ, Scatterometer, and NWP Winds,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Mears, C.[Carl], Lee, T.[Tong], Ricciardulli, L.[Lucrezia], Wang, X.C.[Xiao-Chun], Wentz, F.[Frank],
Improving the Accuracy of the Cross-Calibrated Multi-Platform (CCMP) Ocean Vector Winds,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Campos, R.M.[Ricardo M.], Gramcianinov, C.B.[Carolina B.], de Camargo, R.[Ricardo], da Silva Dias, P.L.[Pedro L.],
Assessment and Calibration of ERA5 Severe Winds in the Atlantic Ocean Using Satellite Data,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhao, S.Y.[Si-Yi], Zhang, J.K.[Jian-Kai], Zhang, C.Y.[Chong-Yang], Xu, M.[Mian], Keeble, J.[James], Wang, Z.[Zhe], Xia, X.[Xufan],
Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Chen, Z.F.[Zhi-Fang], Yan, Z.[Zhaoai], Zhang, B.[Bingyan], Hu, X.[Xiong], Cheng, X.[Xuan], Guo, W.J.[Wen-Jie],
Research on the Measurement Accuracy of Shipborne Rayleigh Scattering Lidar,
RS(14), No. 19, 2022, pp. xx-yy.
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Yu, H.Y.[Huan-Yu], Lu, Z.Z.[Zhi-Zhong], Wang, H.[Hui],
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Pichugin, M.[Mikhail], Gurvich, I.[Irina], Baranyuk, A.[Anastasiya],
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Zhang, J.J.[Jing-Jing], Bai, L.Q.[Lan-Qiang], Li, Z.M.[Zhao-Ming], Du, Y.[Yu], Zhang, S.S.[Shu-Shi],
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Ma, T.[Teng], Yu, Y.[Ye], Dong, L.X.[Long-Xiang], Zhao, G.[Guo], Zhang, T.[Tong], Wang, X.[Xuewei], Zhao, S.[Suping],
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Zhao, M.[Ming], Chen, J.F.[Jian-Feng], Xie, C.[Chenbo], Li, L.[Lu],
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Chen, B.[Bing], Cheng, X.H.[Xing-Hong], Su, D.B.[De-Bin], Xu, X.D.[Xiang-De], Ma, S.Y.[Si-Ying], Hu, Z.Q.[Zhi-Qun],
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Long, C.[Chi], Yu, T.[Tao], Zhang, J.[Jian], Yan, X.X.[Xiang-Xiang], Yang, N.[Na], Wang, J.[Jin], Xia, C.L.[Chun-Liang], Liang, Y.[Yu], Ye, H.[Hailun],
Sub-Hourly Variations of Wind Shear in the Mesosphere-Lower Thermosphere as Observed by the China Meteor Radar Chain,
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La, T.V.[Tran Vu], Messager, C.[Christophe],
Advancement of Sea Surface Convective Wind Gust Observation by Different Satellite Sensors and Assessment with In Situ Measurements,
RS(16), No. 8, 2024, pp. 1400.
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Li, J.W.[Jia-Wei], Chen, C.[Chong], Han, Y.[Yuli], Chen, T.D.[Ting-Di], Xue, X.H.[Xiang-Hui], Liu, H.J.[Heng-Jia], Zhang, S.H.[Shu-Hua], Yang, J.[Jing], Sun, D.[Dongsong],
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Li, B.X.[Bing-Xu], Guo, X.[Xi], Liu, H.[Hao], Han, D.H.[Dong-Hao], Li, G.[Gang], Wu, J.[Ji],
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Liu, C.[Chen], He, S.[Shibo], Liu, H.Y.[Hao-Yu], Chen, J.M.[Ji-Ming], Dong, H.R.[Hai-Rong],
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IEEE DOI 2406
Wind speed, Predictive models, Forecasting, Autoregressive processes, Transformers, Time series analysis, continual learning BibRef

Liu, J.L.[Jie-Li], Shi, C.X.[Chun-Xiang], Ge, L.L.[Ling-Ling], Tie, R.[Ruian], Chen, X.J.[Xiao-Jian], Zhou, T.[Tao], Gu, X.[Xiang], Shen, Z.F.[Zhan-Fei],
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Ren, D.D.[Dian-Dong], Lynch, M.J.[Mervyn J.],
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Peng, Y.L.[Yun-Li], Wu, Y.[Youcao], Shen, C.[Chun], Xu, H.[He], Li, J.B.[Jian-Bing],
Detection Performance Analysis of Marine Wind by Lidar and Radar under All-Weather Conditions,
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Vogelzang, J.[Jur], Stoffelen, A.[Ad],
A Land-Corrected ASCAT Coastal Wind Product,
RS(16), No. 12, 2024, pp. 2053.
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Dussol, A.[Abïgaëlle], Chavanne, C.[Cédric],
Estimation of the Wind Field with a Single High-Frequency Radar,
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An, S.M.[Seung Man], Kim, B.[Byungsoo], Yi, C.[Chaeyeon], Eum, J.H.[Jeong-Hee], Woo, J.H.[Jung-Hun], Wende, W.[Wolfgang],
Study on Morphometrical Urban Aerodynamic Roughness Multi-Scale Exploration Using LiDAR Remote Sensing,
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Urban wind. BibRef

Zhang, K.[Kedeng], Wang, H.[Hui], Zheng, C.X.[Chun-Xin], Yin, T.T.[Tian-Tian], Liu, Z.Z.[Zhen-Zhu],
The Nighttime Horizontal Neutral Winds at Mohe Station in Response to the Temporal Oscillations of Interplanetary Magnetic Field Bz,
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Zhou, Q.[Qi], Chai, H.M.[Hui-Ming], Lv, X.L.[Xiao-Lei],
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Ren, L.[Lin], Dong, X.[Xiao], Cui, L.M.[Li-Min], Yang, J.S.[Jing-Song], Zhang, Y.[Yi], Chen, P.[Peng], Zheng, G.[Gang], Zhou, L.[Lizhang],
NRCS Recalibration and Wind Speed Retrieval for SWOT KaRIn Radar Data,
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Zhang, Y.[Yang], Wang, D.L.[De-Li], Hu, B.[Bin], Zhang, J.M.[Jun-Ming], Gong, X.B.[Xiang-Bo], Chen, Y.F.[Yi-Fei],
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Finn, A., Rogers, K., Meade, J., Skinner, J., Zargarian, A.,
Preliminary Evaluation of Atmospheric Temperature and Wind Profiles Obtained Using Unmanned Aerial Vehicle Based Acoustic Tomography,
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Yomchinda, T.,
A Method of Wind Velocity Estimation Using a Tethered, Spherical Balloon with Standard Aviation Sensors,
ICVISP17(130-133)
IEEE DOI 1712
Signal processing, Estimation, Extended Kalman Filte, Wind Characterization BibRef

López, E.[Erick], Valle, C.[Carlos], Allende, H.[Héctor], Gil, E.[Esteban],
Long Short-Term Memory Networks Based in Echo State Networks for Wind Speed Forecasting,
CIARP17(347-355).
Springer DOI 1802
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Earlier:
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting,
CIARP16(409-416).
Springer DOI 1703
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Fischer, P., Ehrensperger, S., Krauß, T.,
A New Method To Detect Regions Endangered By High Wind Speeds,
ISPRS16(B8: 59-63).
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Cardenas-Barrera, J.L.[Julian L.], Castillo-Guerra, E.[Eduardo], Meng, J.[Julian], Chang, L.[Liuchen],
Multi-step-ahead, Short-Term Prediction of Wind Speed Using a Fusion Approach,
CIARP13(II:83-91).
Springer DOI 1311
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Garcia, M.J., Boulanger, P.,
Low Altitude Wind Simulation over Mount Saint Helens Using NASA SRTM Digital Terrain Model,
3DPVT06(535-542).
IEEE DOI 0606
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Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
GNSS, GPS, CYGNSS for Wind Sensing, Wind Speed .

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