8.3.12.3 Cloud Identification, Cloud Type, Cloud Properties

Chapter Contents (Back)
Cloud Identification.
See also Thin Cloud Detection and Removal.

Brocard, E., Schneebeli, M., Matzler, C.,
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GeoRS(49), No. 2, February 2011, pp. 595-602.
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BibRef

Ou, S.S.C., Kahn, B.H., Liou, K.N., Takano, Y., Schreier, M.M., Yue, Q.,
Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The k-Coefficient Approach Using Cloud-Cleared Radiances as Input,
GeoRS(51), No. 2, February 2013, pp. 1010-1024.
IEEE DOI 1302
BibRef

Musial, J.P.[Jan Pawel], Hüsler, F.[Fabia], Sütterlin, M.[Melanie], Neuhaus, C.[Christoph], Wunderle, S.[Stefan],
Daytime Low Stratiform Cloud Detection on AVHRR Imagery,
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Jin, W.[Wei], Wang, L.[Lei], Zeng, X.[Xingbin], Liu, Z.[Zhen], Fu, R.[Randi],
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Elsevier DOI 1410
Over-complete dictionary BibRef

Yanovsky, I., Davis, A.B.,
Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images,
GeoRS(53), No. 5, May 2015, pp. 2275-2285.
IEEE DOI 1502
atmospheric techniques BibRef

Kovalskyy, V.[Valeriy], Roy, D.P.[David P.],
A One Year Landsat 8 Conterminous United States Study of Cirrus and Non-Cirrus Clouds,
RS(7), No. 1, 2015, pp. 564-578.
DOI Link 1502
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Heidinger, A.K.[Andrew K.], Li, Y.[Yue], Baum, B.A.[Bryan A.], Holz, R.E.[Robert E.], Platnick, S.[Steven], Yang, P.[Ping],
Retrieval of Cirrus Cloud Optical Depth under Day and Night Conditions from MODIS Collection 6 Cloud Property Data,
RS(7), No. 6, 2015, pp. 7257.
DOI Link 1507
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Romano, F.[Filomena], Cimini, D.[Domenico], Nilo, S.T.[Saverio T.], Paola, F.D.[Francesco Di], Ricciardelli, E.[Elisabetta], Ripepi, E.[Ermann], Viggiano, M.[Mariassunta],
The Role of Emissivity in the Detection of Arctic Night Clouds,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Ye, L.[Liang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang],
DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features,
GeoRS(55), No. 10, October 2017, pp. 5729-5740.
IEEE DOI 1710
cloud image feature extraction approach, deep convolutional features, ground-based cloud image categorization, BibRef

Ye, L.[Liang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang], Li, W.[Wei],
Ground-based cloud image categorization using deep convolutional visual features,
ICIP15(4808-4812)
IEEE DOI 1512
Fisher Vector BibRef

Müller, R.[Richard], Haussler, S.[Stephane], Jerg, M.[Matthias],
The Role of NWP Filter for the Satellite Based Detection of Cumulonimbus Clouds,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Dai, G.Y.[Guang-Yao], Wu, S.H.[Song-Hua], Song, X.Q.[Xiao-Quan], Liu, L.P.[Li-Ping],
Optical and Geometrical Properties of Cirrus Clouds over the Tibetan Plateau Measured by LiDAR and Radiosonde Sounding during the Summertime in 2014,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Lyu, Y.X.[Yu-Xiao], Peng, L.B.[Ling-Bing], Pu, T.[Tian], Yang, C.P.[Chun-Ping], Wang, J.[Jun], Peng, Z.M.[Zhen-Ming],
Cirrus Detection Based on RPCA and Fractal Dictionary Learning in Infrared imagery,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Schläpfer, D.[Daniel], Richter, R.[Rudolf], Reinartz, P.[Peter],
Elevation-Dependent Removal of Cirrus Clouds in Satellite Imagery,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Chen, S.[Sijie], Cheng, C.H.[Chong-Hui], Zhang, X.Y.[Xing-Ying], Su, L.[Lin], Tong, B.[Bowen], Dong, C.Z.[Chang-Zhe], Wang, F.[Fu], Chen, B.L.[Bing-Long], Chen, W.B.[Wei-Biao], Liu, D.[Dong],
Construction of Nighttime Cloud Layer Height and Classification of Cloud Types,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Magurno, D.[Davide], Cossich, W.[William], Maestri, T.[Tiziano], Bantges, R.[Richard], Brindley, H.[Helen], Fox, S.[Stuart], Harlow, C.[Chawn], Murray, J.[Jonathan], Pickering, J.[Juliet], Warwick, L.[Laura], Oetjen, H.[Hilke],
Cirrus Cloud Identification from Airborne Far-Infrared and Mid-Infrared Spectra,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Cheng, C.[Chong], Yi, F.[Fan],
Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Hung, M.P.[Meng-Pai], Chen, W.T.[Wei-Ting], Wu, C.M.[Chien-Ming], Chen, P.J.[Peng-Jen], Feng, P.N.[Pei-Ning],
Intraseasonal Vertical Cloud Regimes Based on CloudSat Observations over the Tropics,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Zhang, M.T.[Man-Ting], Teng, S.[Shiwen], Di, D.[Di], Hu, X.Q.[Xiu-Qing], Letu, H.[Husi], Min, M.[Min], Liu, C.[Chao],
Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Fiolleau, T., Roca, R., Cloché, S., Bouniol, D., Raberanto, P.,
Homogenization of Geostationary Infrared Imager Channels for Cold Cloud Studies Using Megha-Tropiques/ScaRaB,
GeoRS(58), No. 9, September 2020, pp. 6609-6622.
IEEE DOI 2008
Calibration, Clouds, Satellite broadcasting, Instruments, Satellites, Temperature measurement, Spatial resolution, limb-darkening corrections BibRef

Chai, Y.J.[Ya-Jie], Fu, K.[Kun], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Yan, Z.Y.[Zhi-Yuan], Feng, Y.C.[Ying-Chao], Wang, L.[Lei],
Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Pan, H.L.[Hong-Lin], Wang, M.Z.[Min-Zhong], Kumar, K.R.[Kanike Raghavendra], Zhang, J.T.[Jian-Tao], Meng, L.[Lu],
A Decadal Global Climatology of Ice Cloud Fraction with Their Microphysical and Optical Properties Inferred from the CALIPSO and Reanalysis Data,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Wang, W.[Wei], Yi, F.[Fan], Liu, F.C.[Fu-Chao], Zhang, Y.P.[Yun-Peng], Yu, C.M.[Chang-Ming], Yin, Z.P.[Zhen-Ping],
Characteristics and Seasonal Variations of Cirrus Clouds from Polarization Lidar Observations at a 30°N Plain Site,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Sellitto, P.[Pasquale], Bucci, S.[Silvia], Legras, B.[Bernard],
Comparison of ISS-CATS and CALIPSO-CALIOP Characterization of High Clouds in the Tropics,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Meyer, K.[Kerry], Platnick, S.[Steven], Holz, R.[Robert], Dutcher, S.[Steve], Quinn, G.[Greg], Nagle, F.[Fred],
Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Platnick, S.[Steven], Meyer, K.[Kerry], Wind, G.[Galina], Holz, R.E.[Robert E.], Amarasinghe, N.[Nandana], Hubanks, P.A.[Paul A.], Marchant, B.[Benjamin], Dutcher, S.[Steven], Veglio, P.[Paolo],
The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Leonarski, L.[Lucie], Labonnote, L.C.[Laurent C.], Compičgne, M.[Mathieu], Vidot, J.[Jérôme], Baran, A.J.[Anthony J.], Dubuisson, P.[Philippe],
Potential of Hyperspectral Thermal Infrared Spaceborne Measurements to Retrieve Ice Cloud Physical Properties: Case Study of IASI and IASI-NG,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Choi, H.[Haklim], Liu, X.[Xiong], Abad, G.G.[Gonzalo Gonzalez], Seo, J.J.[Jong-Jin], Lee, K.M.[Kwang-Mog], Kim, J.[Jhoon],
A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Jiménez, P.A.[Pedro A.], McCandless, T.[Tyler],
Exploring the Potential of Statistical Modeling to Retrieve the Cloud Base Height from Geostationary Satellites: Applications to the ABI Sensor on Board of the GOES-R Satellite Series,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Liu, L.[Lei], Weng, C.[Chensi], Li, S.[Shulei], Husi, L.[Letu], Hu, S.[Shuai], Dong, P.Y.[Ping-Yi],
Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Kotarba, A.Z.[Andrzej Z.], Solecki, M.[Mateusz],
Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat-CALIPSO Radar-Lidar Observations,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Yang, J.H.[Jung-Hyun], Yoo, J.M.[Jung-Moon], Choi, Y.S.[Yong-Sang],
Advanced Dual-Satellite Method for Detection of Low Stratus and Fog near Japan at Dawn from FY-4A and Himawari-8,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Romatschke, U.[Ulrike],
Melting Layer Detection and Observation with the NCAR Airborne W-Band Radar,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
In clouds. BibRef

Dror, T.[Tom], Koren, I.[Ilan], Altaratz, O.[Orit], Heiblum, R.H.[Reuven H.],
On the Abundance and Common Properties of Continental, Organized Shallow (Green) Clouds,
GeoRS(59), No. 6, June 2021, pp. 4570-4578.
IEEE DOI 2106
Clouds, Meteorology, MODIS, Europe, Atmospheric modeling, Green products, Surface morphology, Cloud classification, shallow cumulus BibRef

Tian, J.J.[Jing-Jing], Zhang, Y.[Yunyan], Klein, S.A.[Stephen A.], Wang, L.[Likun], Öktem, R.[Rusen], Romps, D.M.[David M.],
Summertime Continental Shallow Cumulus Cloud Detection Using GOES-16 Satellite and Ground-Based Stereo Cameras at the DOE ARM Southern Great Plains Site,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zhao, D.[Dexin], Zhu, L.[Lin], Sun, H.F.[Hong-Fu], Li, J.[Jun], Wang, W.S.[Wei-Shi],
Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Cho, Y.[Yeonsoo], Park, S.J.[Sang-Jong], Kim, J.H.[Joo-Hong], Yeo, H.D.[Hui-Dong], Nam, J.Y.[Jih-Yun], Jun, S.Y.[Sang-Yoon], Kim, B.M.[Baek-Min], Kim, S.W.[Sang-Woo],
Investigating Wintertime Cloud Microphysical Properties and Their Relationship to Air Mass Advection at Ny-Ĺlesund, Svalbard Using the Synergy of a Cloud Radar-Ceilometer-Microwave Radiometer,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Yan, Y.F.[Ya-Fei], Liu, Y.M.[Yi-Min], Liu, X.L.[Xiao-Lin], Wang, X.C.[Xiao-Cong],
Effects of Cloud Microphysics on the Vertical Structures of Cloud Radiative Effects over the Tibetan Plateau and the Arctic,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
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Wang, Y.[Yi], Yang, P.[Ping], King, M.D.[Michael D.], Baum, B.A.[Bryan A.],
Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zhuge, X.Y.[Xiao-Yong], Zou, X.L.[Xiao-Lei], Wang, Y.[Yuan],
AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product,
GeoRS(59), No. 8, August 2021, pp. 6431-6450.
IEEE DOI 2108
Clouds, Cloud computing, Satellite broadcasting, MODIS, Optical imaging, Optical sensors, Meteorology, Moderate Resolution Imaging Spectroradiometer (MODIS) BibRef

Sinkevich, A.[Andrei], Boe, B.[Bruce], Pawar, S.I.[Sun-Il], Yang, J.[Jing], Abshaev, A.[Ali], Dovgaluk, Y.[Yulia], Gekkieva, J.[Julduz], Gopalakrishnan, V.[Venkatachalam], Kurov, A.[Alexander], Mikhailovskii, Y.[Yurii], Toropova, M.[Marina], Veremei, N.[Nikolai],
Investigation of Thundercloud Features in Different Regions,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Ye, B.Y.[Bo-Young], Lee, G.W.[Gyu-Won],
Vertical Structure of Ice Clouds and Vertical Air Motion from Vertically Pointing Cloud Radar Measurements,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, Y.C.[Yin-Chao], Chen, S.[Su], Tan, W.[Wangshu], Chen, S.Y.[Si-Ying], Chen, H.[He], Guo, P.[Pan], Sun, Z.R.[Zhuo-Ran], Hu, R.[Rui], Xu, Q.Y.[Qing-Yue], Zhang, M.W.[Meng-Wei], Hao, W.[Wei], Bu, Z.C.[Zhi-Chao],
Retrieval of Water Cloud Optical and Microphysical Properties from Combined Multiwavelength Lidar and Radar Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
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Nakoudi, K.[Konstantina], Ritter, C.[Christoph], Stachlewska, I.S.[Iwona S.],
Properties of Cirrus Clouds over the European Arctic (Ny-Ĺlesund, Svalbard),
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
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Boudala, F.S.[Faisal S.], Milbrandt, J.A.[Jason A.],
Evaluations of the Climatologies of Three Latest Cloud Satellite Products Based on Passive Sensors (ISCCP-H, Two CERES) against the CALIPSO-GOCCP,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Wang, Z.J.[Zhan-Jie], Zhao, J.H.[Jiang-Hua], Zhang, R.[Ran], Li, Z.[Zheng], Lin, Q.H.[Qing-Hui], Wang, X.Z.[Xue-Zhi],
UATNet: U-Shape Attention-Based Transformer Net for Meteorological Satellite Cloud Recognition,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Yang, J.[Jing], Zhang, Y.[Yue], Wang, Z.[Zhien], Zhang, D.[Damao],
Cloud Type and Life Stage Dependency of Liquid-Ice Mass Partitioning in Mixed-Phase Clouds,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Yang, J.[Jing], Liu, E.[Enhong], Liu, Y.[Yubao], Lin, Y.J.[Yan-Jun], Yin, Y.[Yan], Jing, X.Q.[Xiao-Qin],
Impact of Vertical Wind Shear on Summer Orographic Clouds over Tian Shan Mountains: A Case Study Based on Radar Observation and Numerical Simulation,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
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Gao, P.[Pan], Wang, J.[Jun], Gao, Y.Z.[Yang-Zi], Liu, J.J.[Jing-Jing], Hua, D.X.[Deng-Xin],
Observation on the Droplet Ranging from 2 to 16 mu-m in Cloud Droplet Size Distribution Based on Digital Holography,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Jiang, Y.H.[Yu-Hang], Cheng, W.[Wei], Gao, F.[Feng], Zhang, S.Q.[Shao-Qing], Wang, S.D.[Shu-Dong], Liu, C.[Chang], Liu, J.J.[Juan-Juan],
A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Sapkota, R.[Rajendra], Sharma, P.[Puneet], Mann, I.[Ingrid],
Comparison of Deep Learning Models for the Classification of Noctilucent Cloud Images,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Jang, S.[Seonghyeon], Kim, J.G.[Jeong-Gyu], McFarquhar, G.M.[Greg M.], Park, S.[Sungmin], Han, S.[Suji], Lee, S.S.[Seoung Soo], Jung, C.H.[Chang Hoon], Jung, H.[Heejung], Chang, K.H.[Ki-Ho], Jung, W.[Woonseon], Um, J.[Junshik],
The Impacts of Single-Scattering and Microphysical Properties of Ice Particles Smaller Than 100 muM on the Bulk Radiative Properties of Tropical Cirrus,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
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Müller, R.[Richard], Barleben, A.[Axel], Haussler, S.[Stéphane], Jerg, M.[Matthias],
A Novel Approach for the Global Detection and Nowcasting of Deep Convection and Thunderstorms,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Boudala, F.S.[Faisal S.], Milbrandt, J.A.[Jason A.], Isaac, G.A.[George A.],
Evaluation of CanESM Cloudiness, Cloud Type and Cloud Radiative Forcing Climatologies Using the CALIPSO-GOCCP and CERES Datasets,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Wan, X.[Xia], Zheng, J.F.[Jia-Feng], Wan, R.[Rong], Xu, G.R.[Gui-Rong], Qin, J.F.[Jian-Feng], Yi, L.[Lan],
Intercomparison of Cloud Vertical Structures over Four Different Sites of the Eastern Slope of the Tibetan Plateau in Summer Using Ka-Band Millimeter-Wave Radar Measurements,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Yuan, Y.[Yun], Di, H.[Huige], Liu, Y.Y.[Yuan-Yuan], Cheng, D.M.[Dan-Min], Chen, N.[Ning], Yan, Q.[Qing], Hua, D.X.[Deng-Xin],
Confidence and Error Analyses of the Radiosonde and Ka-Wavelength Cloud Radar for Detecting the Cloud Vertical Structure,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Gong, S.H.[Shao-Hua], Wang, Y.[Yuru], Guo, J.C.[Jian-Chun], Chen, W.P.[Wei-Peng], Zhang, Y.H.[Yu-Hao], Li, F.Q.[Fa-Quan], Xun, Y.C.[Yu-Chang], Xu, J.[Jiyao], Cheng, X.[Xuewu], Yang, G.T.[Guo-Tao],
Clouds in the Vicinity of the Stratopause Observed with Lidars at Midlatitudes (40.5-41°N) in China,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Wang, X.Y.[Xin-Yue], Iwabuchi, H.[Hironobu], Courbot, J.B.[Jean-Baptiste],
Analysis of Diurnal Evolution of Cloud Properties and Convection Tracking over the South China Coastal Area,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Li, Y.[Yudie], Wang, C.[Chong], Xue, X.H.[Xiang-Hui], Wang, Y.[Yu], Shang, X.[Xiang], Jia, M.J.[Ming-Jiao], Chen, T.[Tingdi],
Study on the Parameters of Ice Clouds Based on 1.5 mu-m Micropulse Polarization Lidar,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Wang, G.[Gang], Lu, Z.Y.[Zhi-Ying], Wang, P.[Ping],
ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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And: Correction: RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Cai, H.[Hongke], Yang, Y.[Yue], Chen, Q.L.[Quan-Liang],
Distribution Characteristics of Cloud Types and Cloud Phases over China and Their Relationship with Cloud Temperature,
RS(14), No. 21, 2022, pp. xx-yy.
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Kurihana, T.[Takuya], Moyer, E.J.[Elisabeth J.], Foster, I.T.[Ian T.],
AICCA: AI-Driven Cloud Classification Atlas,
RS(14), No. 22, 2022, pp. xx-yy.
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Blum, N.B.[Niklas Benedikt], Wilbert, S.[Stefan], Nouri, B.[Bijan], Stührenberg, J.[Jonas], Galeano, J.E.L.[Jorge Enrique Lezaca], Schmidt, T.[Thomas], Heinemann, D.[Detlev], Vogt, T.[Thomas], Kazantzidis, A.[Andreas], Pitz-Paal, R.[Robert],
Analyzing Spatial Variations of Cloud Attenuation by a Network of All-Sky Imagers,
RS(14), No. 22, 2022, pp. xx-yy.
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Tan, Z.H.[Zhong-Hui], Ma, S.[Shuo], Wang, X.[Xin], Liu, Y.[Yudi], Ai, W.H.[Wei-Hua], Yan, W.[Wei],
Estimating Layered Cloud Cover from Geostationary Satellite Radiometric Measurements: A Novel Method and Its Application,
RS(14), No. 22, 2022, pp. xx-yy.
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Lv, Q.[Qi], Li, Q.[Qian], Chen, K.[Kai], Lu, Y.[Yao], Wang, L.W.[Li-Wen],
Classification of Ground-Based Cloud Images by Contrastive Self-Supervised Learning,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Kuchinskaia, O.[Olesia], Bryukhanov, I.[Ilia], Penzin, M.[Maxim], Ni, E.[Evgeny], Doroshkevich, A.[Anton], Kostyukhin, V.[Vadim], Samokhvalov, I.[Ignatii], Pustovalov, K.[Konstantin], Bordulev, I.[Iurii], Bryukhanova, V.[Valentina], Stykon, A.[Alexander], Kirillov, N.[Nikolay], Zhivotenyuk, I.[Ivan],
ERA5 Reanalysis for the Data Interpretation on Polarization Laser Sensing of High-Level Clouds,
RS(15), No. 1, 2023, pp. xx-yy.
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Minnis, P.[Patrick], Sun-Mack, S.[Sunny], Smith, W.L.[William L.], Trepte, Q.Z.[Qing Z.], Hong, G.[Gang], Chen, Y.[Yan], Yost, C.R.[Christopher R.], Chang, F.L.[Fu-Lung], Smith, R.A.[Rita A.], Heck, P.W.[Patrick W.], Yang, P.[Ping],
VIIRS Edition 1 Cloud Properties for CERES, Part 1: Algorithm Adjustments and Results,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Wang, F.X.[Feng-Xian], Liu, Y.[Yubao], Zhou, Y.[Yongbo], Sun, R.[Rongfu], Duan, J.[Jing], Li, Y.[Yang], Ding, Q.J.[Qiu-Ji], Wang, H.L.[Hao-Liang],
Retrieving Vertical Cloud Radar Reflectivity from MODIS Cloud Products with CGAN: An Evaluation for Different Cloud Types and Latitudes,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Li, D.C.[Dong-Chen], Saito, M.[Masanori], Yang, P.[Ping],
Time-Dependent Systematic Biases in Inferring Ice Cloud Properties from Geostationary Satellite Observations,
RS(15), No. 3, 2023, pp. xx-yy.
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Khatri, P.[Pradeep], Hayasaka, T.[Tadahiro],
Comparison of Cloud Properties between SGLI Aboard GCOM-C Satellite and MODIS Aboard Terra Satellite,
RS(15), No. 4, 2023, pp. xx-yy.
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Rozenhaimer, M.S.[Michal Segal], Nukrai, D.[David], Che, H.[Haochi], Wood, R.[Robert], Zhang, Z.B.[Zhi-Bo],
Cloud Mesoscale Cellular Classification and Diurnal Cycle Using a Convolutional Neural Network (CNN),
RS(15), No. 6, 2023, pp. 1607.
DOI Link 2304
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Yang, F.[Fan], Sua, Y.M.[Yong Meng], Louridas, A.[Alexandros], Lamer, K.[Katia], Zhu, Z.[Zeen], Luke, E.[Edward], Huang, Y.P.[Yu-Ping], Kollias, P.[Pavlos], Vogelmann, A.M.[Andrew M.], McComiskey, A.[Allison],
A Time-Gated, Time-Correlated Single-Photon-Counting Lidar to Observe Atmospheric Clouds at Submeter Resolution,
RS(15), No. 6, 2023, pp. 1500.
DOI Link 2304
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Mayer, J.[Johanna], Ewald, F.[Florian], Bugliaro, L.[Luca], Voigt, C.[Christiane],
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Cloud Optical Thickness. BibRef

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Lin, C.W.[Chih-Wei], Jin, L.J.[Ling-Jie],
MSCE-Net: Multi-scale Spatial and Channel Enhancing Net based on Attention for Cloud Image Classification,
ICPR22(2458-2465)
IEEE DOI 2212
Representation learning, Convolution, Transformers, Channel models, Image classification BibRef

Richards, F., Xie, X., Paiement, A., Sola, E., Duc, P.A.,
Multi-Scale Gridded Gabor Attention for Cirrus Segmentation,
ICIP22(3733-3737)
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Training, Image segmentation, Sensitivity, Position measurement, Extraterrestrial measurements, Pollution measurement, Attention, astronomy BibRef

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Variations of droplets within the cloud. BibRef

Bernecker, D.[David], Riess, C.[Christian], Christlein, V.[Vincent], Angelopoulou, E.[Elli],
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Richards, K., Sullivan, G.D.,
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Earlier:
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PDF File. 9209
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Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Cloud Top Heights, Cloud-Top Analysis .


Last update:Sep 28, 2024 at 17:47:54