23.8.6.7 Wind Sensing, Wind Speed, Wind from Sensors

Chapter Contents (Back)
Radar. Wind. Doppler subset:
See also Doppler for Wind Sensing, Doppler LiDAR, Wind Speed.
See also Weather Radar Applications, Meteorological Radar, Weather Analysis.
See also Rainfall Analysis, Rain, Precipitation, Weather Radar.
See also Cyclones, Hurricanes, Typhoons, Radar, Cloud analysis.
See also Wind Turbine Wakes, Wind Turbines.

Koch, W.,
Directional Analysis of SAR Images Aiming at Wind Direction,
GeoRS(42), No. 4, April 2004, pp. 702-710.
IEEE Abstract. 0407
BibRef

Monaldo, F.M., Thompson, D.R., Pichel, W.G., Clemente-Colon, P.,
A Systematic Comparison of QuikSCAT and SAR Ocean Surface Wind Speeds,
GeoRS(42), No. 2, February 2004, pp. 283-291.
IEEE Abstract. 0403
BibRef

Brocard, E., Schneebeli, M., Matzler, C.,
Deriving Winds at Cloud-Base Height With an Infrared Camera,
GeoRS(47), No. 10, October 2009, pp. 3319-3325.
IEEE DOI 0910
BibRef

Nelson, D.L.[David L.], Garay, M.J.[Michael J.], Kahn, R.A.[Ralph A.], Dunst, B.A.[Ben A.],
Stereoscopic Height and Wind Retrievals for Aerosol Plumes with the MISR INteractive eXplorer (MINX),
RS(5), No. 9, 2013, pp. 4593-4628.
DOI Link 1310
BibRef

Zhang, R.H.[Rong-Hua], Li, Z.X.[Zhong-Xian], Min, J.Z.[Jin-Zhong],
Using Satellite Data to Represent Tropical Instability Waves (TIWs)-Induced Wind for Ocean Modeling: A Negative Feedback onto TIW Activity in the Pacific,
RS(5), No. 6, 2013, pp. 2660-2687.
DOI Link 1307
BibRef

Soisuvarn, S., Jelenak, Z., Chang, P.S., Alsweiss, S.O., Zhu, Q.[Qi],
CMOD5.H: A High Wind Geophysical Model Function for C-Band Vertically Polarized Satellite Scatterometer Measurements,
GeoRS(51), No. 6, 2013, pp. 3744-3760.
IEEE DOI 1307
high wind geophysical model function; Wind forecasting BibRef

Takeyama, Y.[Yuko], Ohsawa, T.[Teruo], Yamashita, T.[Tomohiro], Kozai, K.[Katsutoshi], Muto, Y.[Yasunori], Baba, Y.[Yasuyuki], Kawaguchi, K.[Koji],
Estimation of Offshore Wind Resources in Coastal Waters off Shirahama Using ENVISAT ASAR Images,
RS(5), No. 6, 2013, pp. 2883-2897.
DOI Link 1307
BibRef

Takeyama, Y., Ohsawa, T., Kozai, K., Hasager, C., Badger, M.,
Comparison of Geophysical Model Functions for SAR Wind Speed Retrieval in Japanese Coastal Waters,
RS(5), No. 4, April 2013, pp. 1956-1973.
DOI Link 1305
BibRef

Sureshbabu, V.N., Anandan, V.K., Tsuda, T., Furumoto, J.I., Rao, S.V.,
Performance Analysis of Optimum Tilt Angle and Beam Configuration to Derive Horizontal Wind Velocities by Postset Beam Steering Technique,
GeoRS(51), No. 1, January 2013, pp. 520-526.
IEEE DOI 1301
BibRef

Sureshbabu, V.N., Anandan, V.K., Tsuda, T., Furumoto, J.I., Rao, S.V.B.,
Denoising Atmospheric Radar Signals Using Spectral-Based Subspace Method Applicable for PBS Wind Estimation,
GeoRS(51), No. 7, 2013, pp. 3853-3861.
IEEE DOI 1307
Atmospheric modeling; denoising; wind estimation BibRef

Gleason, S.,
Space-Based GNSS Scatterometry: Ocean Wind Sensing Using an Empirically Calibrated Model,
GeoRS(51), No. 9, 2013, pp. 4853-4863.
IEEE DOI 1309
Global Navigation Satellite Systems BibRef

Carvajal, G.K.[Gisela K.], Wåhlin, A.K.[Anna K.], Eriksson, L.E.B.[Leif E.B.], Ulander, L.M.H.[Lars M.H.],
Correlation between Synthetic Aperture Radar Surface Winds and Deep Water Velocity in the Amundsen Sea, Antarctica,
RS(5), No. 8, 2013, pp. 4088-4106.
DOI Link 1309
BibRef

Carvajal, G.K., Eriksson, L.E.B., Ulander, L.M.H.,
Retrieval and Quality Assessment of Wind Velocity Vectors on the Ocean With C-Band SAR,
GeoRS(52), No. 5, May 2014, pp. 2519-2537.
IEEE DOI 1403
Directional variation BibRef

Yueh, S.H., Tang, W., Fore, A.G., Neumann, G., Hayashi, A., Freedman, A., Chaubell, J., Lagerloef, G.S.E.,
L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval,
GeoRS(51), No. 9, 2013, pp. 4619-4632.
IEEE DOI 1309
L-band BibRef

Karagali, I.[Ioanna], Larsén, X.L.G.[Xiao-Li Guo], Badger, M.[Merete], Peña, A.[Alfredo], Hasager, C.B.[Charlotte Bay],
Spectral Properties of ENVISAT ASAR and QuikSCAT Surface Winds in the North Sea,
RS(5), No. 11, 2013, pp. 6096-6115.
DOI Link 1312
BibRef

Williams, B.A.,
A Fieldwise Retrieval Approach to the Noise Versus Resolution Tradeoff in Wind Scatterometry,
GeoRS(51), No. 12, 2013, pp. 5259-5272.
IEEE DOI 1312
atmospheric techniques BibRef

Fore, A.G., Stiles, B.W., Chau, A.H., Williams, B.A., Dunbar, R.S., Rodriguez, E.,
Point-Wise Wind Retrieval and Ambiguity Removal Improvements for the QuikSCAT Climatological Data Set,
GeoRS(52), No. 1, January 2014, pp. 51-59.
IEEE DOI 1402
atmospheric techniques BibRef

Xie, X.T.[Xue-Tong], Huang, Z.[Zhou], Lin, M.S.[Ming-Sen], Chen, K.[Kehai], Lan, Y.[Youguo], Yuan, X.Z.[Xin-Zhe], Ye, X.M.[Xiao-Min], Zou, J.H.[Ju-Hong],
A Novel Integrated Algorithm for Wind Vector Retrieval from Conically Scanning Scatterometers,
RS(5), No. 12, 2013, pp. 6180-6197.
DOI Link 1402
BibRef

Ramos-Fuertes, A.[Anaïs], Marti-Cardona, B.[Belen], Bladé, E.[Ernest], Dolz, J.[Josep],
Envisat/ASAR Images for the Calibration of Wind Drag Action in the Doñana Wetlands 2D Hydrodynamic Model,
RS(6), No. 1, 2013, pp. 379-406.
DOI Link 1402
BibRef

Hullinger, W.J., Long, D.G.,
Mitigation of Sea Ice Contamination in QuikSCAT Wind Retrieval,
GeoRS(52), No. 4, April 2014, pp. 2149-2158.
IEEE DOI 1403
atmospheric measuring apparatus BibRef

Fore, A.G., Yueh, S.H., Tang, W., Hayashi, A.K., Lagerloef, G.S.E.,
Aquarius Wind Speed Products: Algorithms and Validation,
GeoRS(52), No. 5, May 2014, pp. 2920-2927.
IEEE DOI 1403
L-band BibRef

Li, X.M., Lehner, S.,
Algorithm for Sea Surface Wind Retrieval From TerraSAR-X and TanDEM-X Data,
GeoRS(52), No. 5, May 2014, pp. 2928-2939.
IEEE DOI 1403
Radar measurements BibRef

Valencia, E., Zavorotny, V.U., Akos, D.M., Camps, A.,
Using DDM Asymmetry Metrics for Wind Direction Retrieval From GPS Ocean-Scattered Signals in Airborne Experiments,
GeoRS(52), No. 7, July 2014, pp. 3924-3936.
IEEE DOI 1403
Atmospheric modeling BibRef

Belmonte-Rivas, M., Stoffelen, A., van Zadelhoff, G.J.,
The Benefit of HH and VV Polarizations in Retrieving Extreme Wind Speeds for an ASCAT-Type Scatterometer,
GeoRS(52), No. 7, July 2014, pp. 4273-4280.
IEEE DOI 1403
Backscatter BibRef

Ratheesh, S., Sharma, R., Basu, S.,
An EnOI Assimilation of Satellite Data in an Indian Ocean Circulation Model,
GeoRS(52), No. 7, July 2014, pp. 4106-4111.
IEEE DOI 1403
Computational modeling BibRef

Tang, R.H.[Ruo-Han], Liu, D.Y.[De-You], Han, G.Q.[Guo-Qi], Ma, Z.M.[Zhi-Min], de Young, B.[Brad],
Reconstructed Wind Fields from Multi-Satellite Observations,
RS(6), No. 4, 2014, pp. 2898-2911.
DOI Link 1405
BibRef

Alsweiss, S.[Suleiman], Hanna, R.[Rafik], Laupattarakasem, P.[Peth], Jones, W.L.[W. Linwood], Hennon, C.C.[Christopher C.], Chen, R.Y.[Rui-Yao],
A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones,
RS(6), No. 5, 2014, pp. 4133-4148.
DOI Link 1407
BibRef

Zhang, G., Zhang, B., Perrie, W., Xu, Q., He, Y.,
A Hurricane Tangential Wind Profile Estimation Method for C-Band Cross-Polarization SAR,
GeoRS(52), No. 11, November 2014, pp. 7186-7194.
IEEE DOI 1407
Aircraft BibRef

Zhang, G., Perrie, W., Li, X., Zhang, J.A.,
A Hurricane Morphology and Sea Surface Wind Vector Estimation Model Based on C-Band Cross-Polarization SAR Imagery,
GeoRS(55), No. 3, March 2017, pp. 1743-1751.
IEEE DOI 1703
Atmospheric modeling BibRef

Shen, H.[Hui], Perrie, W., He, Y.J.[Yi-Jun], Liu, G.Q.[Guo-Qiang],
Wind Speed Retrieval From VH Dual-Polarization RADARSAT-2 SAR Images,
GeoRS(52), No. 9, Sept 2014, pp. 5820-5826.
IEEE DOI 1407
atmospheric techniques BibRef

Zhang, G., Li, X., Perrie, W., Hwang, P.A., Zhang, B., Yang, X.,
A Hurricane Wind Speed Retrieval Model for C-Band RADARSAT-2 Cross-Polarization ScanSAR Images,
GeoRS(55), No. 8, August 2017, pp. 4766-4774.
IEEE DOI 1708
Atmospheric modeling, Backscatter, Hurricanes, Sea surface, Synthetic aperture radar, Wind speed, Cross-polarization, hurricane, synthetic aperture radar (SAR), wind, retrieval, model BibRef

Adams, I.S., Bettenhausen, M.H., Johnston, W.,
The Impact of Radio-Frequency Interference on WindSat Ocean Surface Observations,
GeoRS(52), No. 10, October 2014, pp. 6665-6673.
IEEE DOI 1407
Interference BibRef

Clarizia, M.P., Ruf, C.S., Jales, P., Gommenginger, C.,
Spaceborne GNSS-R Minimum Variance Wind Speed Estimator,
GeoRS(52), No. 11, November 2014, pp. 6829-6843.
IEEE DOI 1407
Global Positioning System BibRef

Clarizia, M.P., Ruf, C.S.,
Wind Speed Retrieval Algorithm for the Cyclone Global Navigation Satellite System (CYGNSS) Mission,
GeoRS(54), No. 8, August 2016, pp. 4419-4432.
IEEE DOI 1608
atmospheric techniques BibRef

Stiles, B.W., Danielson, R.E., Poulsen, W.L., Brennan, M.J., Hristova-Veleva, S., Shen, T., Fore, A.G.,
Optimized Tropical Cyclone Winds From QuikSCAT: A Neural Network Approach,
GeoRS(52), No. 11, November 2014, pp. 7418-7434.
IEEE DOI 1407
Hurricanes BibRef

Lipa, B.[Belinda], Barrick, D.[Donald], Alonso-Martirena, A.[Andres], Fernandes, M.[Maria], Ferrer, M.I.[Maria Inmaculada], Nyden, B.[Bruce],
Brahan Project High Frequency Radar Ocean Measurements: Currents, Winds, Waves and Their Interactions,
RS(6), No. 12, 2014, pp. 12094-12117.
DOI Link 1412
BibRef

Chang, R.[Rui], Zhu, R.[Rong], Badger, M.[Merete], Hasager, C.B.[Charlotte Bay], Xing, X.[Xuhuang], Jiang, Y.R.[Yi-Rong],
Offshore Wind Resources Assessment from Multiple Satellite Data and WRF Modeling over South China Sea,
RS(7), No. 1, 2015, pp. 467-487.
DOI Link 1502
BibRef

Horstmann, J., Falchetti, S., Wackerman, C., Maresca, S., Caruso, M.J., Graber, H.C.,
Tropical Cyclone Winds Retrieved From C-Band Cross-Polarized Synthetic Aperture Radar,
GeoRS(53), No. 5, May 2015, pp. 2887-2898.
IEEE DOI 1502
remote sensing by radar BibRef

Ren, Y.Z.[Yong-Zheng], Li, X.M.[Xiao-Ming], Zhou, G.Q.[Guo-Qing],
Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit,
RS(7), No. 4, 2015, pp. 3548-3564.
DOI Link 1505
BibRef

Lin, W.M.[Wen-Ming], Portabella, M., Stoffelen, A.[Ad], Verhoef, A.[Anton], Turiel, A.,
ASCAT Wind Quality Control Near Rain,
GeoRS(53), No. 8, August 2015, pp. 4165-4177.
IEEE DOI 1506
atmospheric measuring apparatus BibRef

Lin, W., Portabella, M., Turiel, A., Stoffelen, A.[Ad], Verhoef, A.[Anton],
An Improved Singularity Analysis for ASCAT Wind Quality Control: Application to Low Winds,
GeoRS(54), No. 7, July 2016, pp. 3890-3898.
IEEE DOI 1606
Geophysical measurements BibRef

Trindade, A., Portabella, M., Stoffelen, A., Lin, W., Verhoef, A.,
ERAstar: A High-Resolution Ocean Forcing Product,
GeoRS(58), No. 2, February 2020, pp. 1337-1347.
IEEE DOI 2001
Radar measurements, Atmospheric modeling, Spaceborne radar, Wind forecasting, Sea surface, ERA*, scatterometer wind BibRef

Wang, Z., Stoffelen, A., Zou, J., Lin, W., Verhoef, A., Zhang, Y., He, Y., Lin, M.,
Validation of New Sea Surface Wind Products From Scatterometers Onboard the HY-2B and MetOp-C Satellites,
GeoRS(58), No. 6, June 2020, pp. 4387-4394.
IEEE DOI 2005
Microwave remote sensing, scatterometer, sea surface winds, validation BibRef

Vogelzang, J.[Jur], Stoffelen, A.[Ad], Verhoef, A.[Anton],
The Effect of Error Non-Orthogonality on Triple Collocation Analyses,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
Calculating the relative linear intercalibration coefficients and observation error. BibRef

Fois, F., Hoogeboom, P., Le Chevalier, F., Stoffelen, A.,
Future Ocean Scatterometry: On the Use of Cross-Polar Scattering to Observe Very High Winds,
GeoRS(53), No. 9, September 2015, pp. 5009-5020.
IEEE DOI 1506
Rough surfaces BibRef

Shen, C.X.[Cheng-Xi], Huang, W.M.[Wei-Min], Gill, E.W.[Eric W.], Carrasco, R.[Ruben], Horstmann, J.[Jochen],
An Algorithm for Surface Current Retrieval from X-band Marine Radar Images,
RS(7), No. 6, 2015, pp. 7753.
DOI Link 1507
Ocean currents. BibRef

Huang, W.M.[Wei-Min], Carrasco, R.[Ruben], Shen, C.X.[Cheng-Xi], Gill, E.W.[Eric W.], Horstmann, J.[Jochen],
Surface Current Measurements Using X-Band Marine Radar With Vertical Polarization,
GeoRS(54), No. 5, May 2016, pp. 2988-2997.
IEEE DOI 1604
marine radar BibRef

Zhuge, X.Y.[Xiao-Yong], Guan, J.[Jian], Yu, F.[Fan], Wang, Y.[Yuan],
A New Satellite-Based Indicator for Estimation of the Western North Pacific Tropical Cyclone Current Intensity,
GeoRS(53), No. 10, October 2015, pp. 5661-5676.
IEEE DOI 1509
oceanographic regions BibRef

Kazumori, M., Shibata, A., English, S.J.,
Asymmetric Features of Oceanic Microwave Brightness Temperature in High Surface Wind Speed Condition,
GeoRS(53), No. 11, November 2015, pp. 5901-5914.
IEEE DOI 1509
atmospheric radiation BibRef

Hilburn, K.A., Meissner, T., Wentz, F.J., Brown, S.T.,
Ocean Vector Winds From WindSat Two-Look Polarimetric Radiances,
GeoRS(54), No. 2, February 2016, pp. 918-931.
IEEE DOI 1601
Earth BibRef

Wang, Y.R.[Yi-Ran], Li, X.M.[Xiao-Ming],
Derivation of Sea Surface Wind Directions from TerraSAR-X Data Using the Local Gradient Method,
RS(8), No. 1, 2016, pp. 53.
DOI Link 1602
BibRef

Denbina, M.[Michael], Collins, M.J.[Michael J.],
Wind speed estimation using C-band compact polarimetric SAR for wide swath imaging modes,
PandRS(113), No. 1, 2016, pp. 75-85.
Elsevier DOI 1602
SAR BibRef

Xing, J.Y.[Jian-Yong], Shi, J.C.[Jian-Cheng], Lei, Y.H.[Yong-Hui], Huang, X.Y.[Xiang-Yu], Liu, Z.Q.[Zhi-Quan],
Evaluation of HY-2A Scatterometer Wind Vectors Using Data from Buoys, ERA-Interim and ASCAT during 2012-2014,
RS(8), No. 5, 2016, pp. 390.
DOI Link 1606
BibRef

Liou, Y.A., Liu, J.C., Wu, M.X., Lee, Y.J., Cheng, C.H., Kuei, C.P., Hong, R.M.,
Generalized Empirical Formulas of Threshold Distance to Characterize Cyclone-Cyclone Interactions,
GeoRS(54), No. 6, June 2016, pp. 3502-3512.
IEEE DOI 1606
geophysical image processing BibRef

Chen, G.[Gang], Cui, X.[Xiao], Chen, F.L.[Fei-Long], Zhao, Z.Y.[Zheng-Yu], Wang, Y.[Yong], Yao, Q.[Qi], Wang, C.[Chi], Lü, D.R.[Da-Ren], Zhang, S.D.[Shao-Dong], Zhang, X.X.[Xiao-Xi], Zhou, X.M.[Xiao-Ming], Huang, L.[Liang], Gong, W.L.[Wan-Lin],
MST Radars of Chinese Meridian Project: System Description and Atmospheric Wind Measurement,
GeoRS(54), No. 8, August 2016, pp. 4513-4523.
IEEE DOI 1608
Yagi antenna arrays BibRef

Mai, M., Zhang, B., Li, X., Hwang, P.A., Zhang, J.A.,
Application of AMSR-E and AMSR2 Low-Frequency Channel Brightness Temperature Data for Hurricane Wind Retrievals,
GeoRS(54), No. 8, August 2016, pp. 4501-4512.
IEEE DOI 1608
atmospheric radiation BibRef

Lindsley, R.D., Blodgett, J.R., Long, D.G.,
Analysis and Validation of High-Resolution Wind From ASCAT,
GeoRS(54), No. 10, October 2016, pp. 5699-5711.
IEEE DOI 1610
atmospheric techniques BibRef

Zhang, L.[Lei], Yin, X.B.[Xiao-Bin], Shi, H.Q.[Han-Qing], Wang, Z.Z.[Zhen-Zhan],
Hurricane Wind Speed Estimation Using WindSat 6 and 10 GHz Brightness Temperatures,
RS(8), No. 9, 2016, pp. 721.
DOI Link 1610
BibRef

Bos, R.[René], Giyanani, A.[Ashim], Bierbooms, W.[Wim],
Assessing the Severity of Wind Gusts with Lidar,
RS(8), No. 9, 2016, pp. 758.
DOI Link 1610
BibRef

Hasager, C.B.[Charlotte Bay], Astrup, P.[Poul], Zhu, R.[Rong], Chang, R.[Rui], Badger, M.[Merete], Hahmann, A.N.[Andrea N.],
Quarter-Century Offshore Winds from SSM/I and WRF in the North Sea and South China Sea,
RS(8), No. 9, 2016, pp. 769.
DOI Link 1610
BibRef

Ludeno, G.[Giovanni], Nasello, C.[Carmelo], Raffa, F.[Francesco], Ciraolo, G.[Giuseppe], Soldovieri, F.[Francesco], Serafino, F.[Francesco],
A Comparison between Drifter and X-Band Wave Radar for Sea Surface Current Estimation,
RS(8), No. 9, 2016, pp. 695.
DOI Link 1610
Currents BibRef

Yueh, S.H., Fore, A.G., Tang, W., Hayashi, A., Stiles, B., Reul, N., Weng, Y., Zhang, F.,
SMAP L-Band Passive Microwave Observations of Ocean Surface Wind During Severe Storms,
GeoRS(54), No. 12, December 2016, pp. 7339-7350.
IEEE DOI 1612
oceanography BibRef

Fore, A.G., Yueh, S.H., Tang, W., Stiles, B.W., Hayashi, A.K.,
Combined Active/Passive Retrievals of Ocean Vector Wind and Sea Surface Salinity With SMAP,
GeoRS(54), No. 12, December 2016, pp. 7396-7404.
IEEE DOI 1612
radiometry BibRef

Floors, R.[Rogier], Peña, A.[Alfredo], Lea, G.[Guillaume], Vasiljevic, N.[Nikola], Simon, E.[Elliot], Courtney, M.[Michael],
The RUNE Experiment: A Database of Remote-Sensing Observations of Near-Shore Winds,
RS(8), No. 11, 2016, pp. 884.
DOI Link 1612
BibRef

Vasiljevic, N.[Nikola], Lea, G.[Guillaume], Courtney, M.[Michael], Cariou, J.P.[Jean-Pierre], Mann, J.[Jakob], Mikkelsen, T.[Torben],
Long-Range WindScanner System,
RS(8), No. 11, 2016, pp. 896.
DOI Link 1612
BibRef

Borraccino, A.[Antoine], Courtney, M.[Michael], Wagner, R.[Rozenn],
Generic Methodology for Field Calibration of Nacelle-Based Wind Lidars,
RS(8), No. 11, 2016, pp. 907.
DOI Link 1612
BibRef

Kavousi-Fard, A.,
A Hybrid Accurate Model for Tidal Current Prediction,
GeoRS(55), No. 1, January 2017, pp. 112-118.
IEEE DOI 1701
oceanographic regions BibRef

Kavousi-Fard, A.,
A Novel Probabilistic Method to Model the Uncertainty of Tidal Prediction,
GeoRS(55), No. 2, February 2017, pp. 828-833.
IEEE DOI 1702
neural nets BibRef

Li, X.F.[Xiao-Feng], Zheng, W.Z.[Wei-Zhong], Yang, X.F.[Xiao-Feng], Pietrafesa, L.J.[Leonard J.],
Sea Fetch Observed by Synthetic Aperture Radar,
GeoRS(55), No. 1, January 2017, pp. 272-279.
IEEE DOI 1701
Sea surface winds. BibRef

Yu, M.Z.[Ming-Zhao], Wu, B.F.[Bing-Fang], Yan, N.[Nana], Xing, Q.A.[Qi-Ang], Zhu, W.W.[Wei-Wei],
A Method for Estimating the Aerodynamic Roughness Length with NDVI and BRDF Signatures Using Multi-Temporal Proba-V Data,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
Aid in understanding winds over the surface. BibRef

Xing, Q.A.[Qi-Ang], Wu, B.F.[Bing-Fang], Yan, N.[Nana], Yu, M.Z.[Ming-Zhao], Zhu, W.W.[Wei-Wei],
Sensitivity of BRDF, NDVI and Wind Speed to the Aerodynamic Roughness Length over Sparse Tamarix in the Downstream Heihe River Basin,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Liu, X.L.[Xin-Long], Huang, W.M.[Wei-Min], Gill, E.W.[Eric W.],
Wind Direction Estimation From Rain-Contaminated Marine Radar Data Using the Ensemble Empirical Mode Decomposition Method,
GeoRS(55), No. 3, March 2017, pp. 1833-1841.
IEEE DOI 1703
Azimuth BibRef

Huang, W.M.[Wei-Min], Liu, X.L.[Xin-Long], Gill, E.W.[Eric W.],
Ocean Wind and Wave Measurements Using X-Band Marine Radar: A Comprehensive Review,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
Survey, Wind Measurement.
See also Experimental Investigation of Ocean Wave Measurement Using Short-Range K-Band Radar: Dock-Based and Boat-Based Wind Wave Measurements. BibRef

Huang, W.M.[Wei-Min], Liu, X.L.[Xin-Long], Gill, E.W.[Eric W.],
An Empirical Mode Decomposition Method for Sea Surface Wind Measurements From X-Band Nautical Radar Data,
GeoRS(55), No. 11, November 2017, pp. 6218-6227.
IEEE DOI 1711
Azimuth, Radar cross-sections, Radar imaging, Rain, Sea surface, Wind speed, Ensemble empirical mode decomposition (EEMD), X-band nautical radar, rain, wind BibRef

Huang, W.M.[Wei-Min], Liu, Y.[Ying], Gill, E.W.[Eric W.],
Texture-Analysis-Incorporated Wind Parameters Extraction from Rain-Contaminated X-Band Nautical Radar Images,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Yurovsky, Y.Y.[Yury Yu], Kudryavtsev, V.N.[Vladimir N.], Grodsky, S.A.[Semyon A.], Chapron, B.[Bertrand],
Ka-Band Dual Copolarized Empirical Model for the Sea Surface Radar Cross Section,
GeoRS(55), No. 3, March 2017, pp. 1629-1647.
IEEE DOI 1703
Backscatter based on angle and wind speed. BibRef

Ragi, A.R., Sharan, M., Haddad, Z.S.,
Objective Detection of Indian Summer Monsoon Onset Using QuikSCAT Seawinds Scatterometer,
GeoRS(55), No. 6, June 2017, pp. 3466-3474.
IEEE DOI 1706
Land surface, Monsoons, Ocean temperature, Radar measurements, Sea surface, Temperature measurement, Indian monsoon, QuikSCAT estimates, onset, surface cooling BibRef

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

Guan, D.L.[Dong-Liang], Park, H.[Hyuk], Camps, A.[Adriano], Wang, Y.[Yong], Onrubia, R.[Raul], Querol, J.[Jorge], Pascual, D.[Daniel],
Wind Direction Signatures in GNSS-R Observables from Space,
RS(10), No. 2, 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

Lin, W., Portabella, M., Foti, G., Stoffelen, A., Gommenginger, C., He, Y.,
Toward the Generation of a Wind Geophysical Model Function for Spaceborne GNSS-R,
GeoRS(57), No. 2, February 2019, pp. 655-666.
IEEE DOI 1901
Wind speed, Sea surface, Signal to noise ratio, Sea measurements, Ocean temperature, Advanced Scatterometer (ASCAT), calibration, winds 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

Asgarimehr, M.[Milad], Wickert, J.[Jens], Reich, S.[Sebastian],
Evaluating Impact of Rain Attenuation on Space-borne GNSS Reflectometry Wind Speeds,
RS(11), No. 9, 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

Kudryavtsev, V.N., Fan, S., Zhang, B., Mouche, A.A., Chapron, B.,
On Quad-Polarized SAR Measurements of the Ocean Surface,
GeoRS(57), No. 11, November 2019, pp. 8362-8370.
IEEE DOI 1911
Sea measurements, Synthetic aperture radar, Sea surface, Wind speed, Rough surfaces, Bragg and nonresonant scattering, wave breaking BibRef

Yurovsky, Y.Y.[Yury Y.], Kudryavtsev, V.N.[Vladimir N.], Grodsky, S.A.[Semyon A.], Chapron, B.[Bertrand],
Ka-Band Radar Cross-Section of Breaking Wind Waves,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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

Liu, Y., Collett, I., Morton, Y.J.,
Application of Neural Network to GNSS-R Wind Speed Retrieval,
GeoRS(57), No. 12, December 2019, pp. 9756-9766.
IEEE DOI 1912
Wind speed, Sea surface, Sea measurements, Global navigation satellite system, Neurons, Satellites, wind speed retrieval BibRef

Dong, Z.[Zhounan], Jin, S.G.[Shuang-Gen],
Evaluation of Spaceborne GNSS-R Retrieved Ocean Surface Wind Speed with Multiple Datasets,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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

Jing, C.[Cheng], Niu, X.L.[Xin-Liang], Duan, C.D.[Chong-Di], Lu, F.[Feng], Di, G.D.[Guo-Dong], Yang, X.F.[Xiao-Feng],
Sea Surface Wind Speed Retrieval from the First Chinese GNSS-R Mission: Technique and Preliminary Results,
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

Li, X.L.[Xuan-Li], Mecikalski, J.R.[John R.], Lang, T.J.[Timothy J.],
A Study on Assimilation of CYGNSS Wind Speed Data for Tropical Convection during 2018 January MJO,
RS(12), No. 8, 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

Clarizia, M.P., Ruf, C.S.,
Statistical Derivation of Wind Speeds From CYGNSS Data,
GeoRS(58), No. 6, June 2020, pp. 3955-3964.
IEEE DOI 2005
Wind speed, Sea measurements, Sociology, Statistics, Satellites, Data models, Geometry, GNSS-reflectometry BibRef

Liu, H.S.[Hong-Su], Jin, S.G.[Shuang-Gen], Yan, Q.Y.[Qing-Yun],
Evaluation of the Ocean Surface Wind Speed Change following the Super Typhoon from Space-Borne GNSS-Reflectometry,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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

Yang, J.G.[Jun-Gang], Zhang, J.[Jie], Jia, Y.J.[Yong-Jun], Fan, C.Q.[Chen-Qing], Cui, W.[Wei],
Validation of Sentinel-3A/3B and Jason-3 Altimeter Wind Speeds and Significant Wave Heights Using Buoy and ASCAT Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
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

Balasubramaniam, R.[Rajeswari], Ruf, C.[Christopher],
Neural Network Based Quality Control of CYGNSS Wind Retrieval,
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
BibRef

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
BibRef

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
BibRef

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
BibRef

Cardellach, E.[Estel], Nan, Y.[Yang], Li, W.Q.[Wei-Qiang], Padullés, R.[Ramon], Ribó, S.[Serni], Rius, A.[Antonio],
Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

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
BibRef

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

Li, X.H.[Xiao-Hui], Yang, D.[Dongkai], Yang, J.S.[Jing-Song], Han, G.Q.[Guo-Qi], Zheng, G.[Gang], Li, W.Q.[Wei-Qiang],
Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data,
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

Carreno-Luengo, H.[Hugo], Crespo, J.A.[Juan A.], Akbar, R.[Ruzbeh], Bringer, A.[Alexandra], Warnock, A.[April], Morris, M.[Mary], Ruf, C.[Chris],
The CYGNSS Mission: On-Going Science Team Investigations,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
Wind of cyclones using GNSS signals. 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
BibRef

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

Désert, T.[Thibault], Knapp, G.[Graham], Aubrun, S.[Sandrine],
Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
Used to survey wind energy off-shore. 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

Zhang, Y.[Yun], Yin, J.[Jiwei], Yang, S.[Shuhu], Meng, W.[Wanting], Han, Y.L.[Yan-Ling], Yan, Z.Y.[Zi-Yu],
High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine Learning,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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

Zhang, Y.[Yun], Chen, X.[Xu], Meng, W.[Wanting], Yin, J.[Jiwei], Han, Y.L.[Yan-Ling], Hong, Z.H.[Zhong-Hua], Yang, S.[Shuhu],
Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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

Liu, X.X.[Xiao-Xu], Bai, W.H.[Wei-Hua], Xia, J.[Junming], Huang, F.[Feixiong], Yin, C.[Cong], Sun, Y.[Yueqiang], Du, Q.F.[Qi-Fei], Meng, X.G.[Xiang-Guang], Liu, C.[Congliang], Hu, P.[Peng], Tan, G.Y.[Guang-Yuan],
FA-RDN: A Hybrid Neural Network on GNSS-R Sea Surface Wind Speed Retrieval,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhou, L.Z.[Li-Zhang], Zheng, G.[Gang], Yang, J.S.[Jing-Song], Li, X.F.[Xiao-Feng], Zhang, B.[Bin], Wang, H.[He], Chen, P.[Peng], Wang, Y.[Yan],
Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery,
GeoRS(60), 2022, pp. 1-11.
IEEE DOI 2112
Radar polarimetry, Sea surface, Oceanography, Atmospheric modeling, Surface waves, Atmospheric waves, Wind speed, Entropy, textures 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.[Yongcun], Ye, X.M.[Xiao-Min], Zhang, Z.[Zenghai],
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

Li, G.[Guo], Zhang, Y.[Yunhua], Dong, X.[Xiao],
Approaches for Joint Retrieval of Wind Speed and Significant Wave Height and Further Improvement for Tiangong-2 Interferometric Imaging Radar Altimeter,
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

Pu, Z.X.[Zhao-Xia], Wang, Y.[Ying], Li, X.[Xin], Ruf, C.[Christopher], Bi, L.[Li], Mehra, A.[Avichal],
Impacts of Assimilating CYGNSS Satellite Ocean-Surface Wind on Prediction of Landfalling Hurricanes with the HWRF Model,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Strub, P.T.[P. Ted], James, C.[Corinne],
Evaluation of Nearshore QuikSCAT 4.1 and ERA-5 Wind Stress and Wind Stress Curl Fields over Eastern Boundary Currents,
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

Wang, C.Y.[Chang-Yang], Yu, K.[Kegen], Qu, F.Y.[Fang-Yu], Bu, J.[Jinwei], Han, S.[Shuai], Zhang, K.[Kefei],
Spaceborne GNSS-R Wind Speed Retrieval Using Machine Learning Methods,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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.[Xinjie], Duan, B.[Boheng], 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

Wan, Y.[Yong], Zhang, X.N.[Xiao-Na], Fan, C.Q.[Chen-Qing], Qu, R.[Ruozhao], Ma, E.[Ennan],
A Joint Method for Wave and Wind Field Parameter Inversion Combining SAR with Wave Spectrometer Data,
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.[Siyi], Zhang, J.[Jiankai], 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.
DOI Link 2210
BibRef

Ni, W.C.[Wei-Cheng], Stoffelen, A.[Ad], Ren, K.J.[Kai-Jun], Yang, X.F.[Xiao-Feng], Vogelzang, J.[Jur],
SAR and ASCAT Tropical Cyclone Wind Speed Reconciliation,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Lee, E.[Eunhee], Todling, R.[Ricardo], Karpowicz, B.M.[Bryan M.], Jin, J.J.[Jian-Jun], Sewnath, A.[Akira], Park, S.K.[Seon Ki],
Assessment of Geo-Kompsat-2A Atmospheric Motion Vector Data and Its Assimilation Impact in the GEOS Atmospheric Data Assimilation System,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Carr, J.L.[James L.], Daniels, J.[Jaime], Wu, D.L.[Dong L.], Bresky, W.[Wayne], Tan, B.[Bin],
A Demonstration of Three-Satellite Stereo Winds,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Grieco, G.[Giuseppe], Stoffelen, A.[Ad], Verhoef, A.[Anton], Vogelzang, J.[Jur], Portabella, M.[Marcos],
Analysis of Data-Derived SeaWinds Normalized Radar Cross-Section Noise,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Lang, S.[Shuyan], Lin, W.M.[Wen-Ming], Zhang, Y.[Yi], Jia, Y.J.[Yong-Jun],
On the Quality Control of HY-2 Scatterometer High Winds,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Castelino, R.V.[Roystan Vijay], Kashyap, Y.[Yashwant], Kosmopoulos, P.[Panagiotis],
Airborne Kite Tether Force Estimation and Experimental Validation Using Analytical and Machine Learning Models for Coastal Regions,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Rahimi, M.[Milad], Gholamalifard, M.[Mehdi], Rashidi, A.[Akbar], Ahmadi, B.[Bonyad], Kostianoy, A.G.[Andrey G.], Semenov, A.V.[Aleksander V.],
Spatio-Temporal Variability of Wind Energy in the Caspian Sea: An Ecosystem Service Modeling Approach,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Guan, J.J.[Jin-Jin],
Landscape Visual Impact Evaluation for Onshore Wind Farm: A Case Study,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef

Lv, S.[Sirui], Lin, W.M.[Wen-Ming], Wang, Z.X.[Zhi-Xiong], Zou, J.[Juhong],
Blending Sea Surface Winds from the HY-2 Satellite Scatterometers Based on a 2D-Var Method,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

He, W.W.[Wei-Wei], Hu, X.R.[Xiang-Rui], Wang, H.[Houmao], Wang, D.[Daoqi], Li, J.[Juan], Li, F.Q.[Fa-Quan], Wu, K.J.[Kui-Jun],
Influence of Scattered Sunlight for Wind Measurements with the O2(a1Deltag) Dayglow,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Gurvich, I.[Irina], Pichugin, M.[Mikhail], Baranyuk, A.[Anastasiya],
Satellite Multi-Sensor Data Analysis of Unusually Strong Polar Lows over the Chukchi and Beaufort Seas in October 2017,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Hadjipetrou, S.[Stylianos], Mariethoz, G.[Gregoire], Kyriakidis, P.[Phaedon],
Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef


López, E.[Erick], Valle, C.[Carlos], Allende-Cid, H.[Héctor], Allende, H.[Héctor],
Comparison of Recurrent Neural Networks for Wind Power Forecasting,
MCPR20(25-34).
Springer DOI 2007
BibRef

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,
UAV-g19(283-287).
DOI Link 1912
BibRef

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
BibRef
Earlier:
Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting,
CIARP16(409-416).
Springer DOI 1703
BibRef

Fischer, P., Ehrensperger, S., Krauß, T.,
A New Method To Detect Regions Endangered By High Wind Speeds,
ISPRS16(B8: 59-63).
DOI Link 1610
BibRef

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
BibRef

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
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Doppler for Wind Sensing, Doppler LiDAR, Wind Speed .


Last update:Jan 23, 2023 at 16:42:47