Articles | Volume 8, issue 5
https://doi.org/10.5194/acp-8-1231-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-8-1231-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
04 Mar 2008
Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount
B. H. Kahn
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
M. T. Chahine
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
G. L. Stephens
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
G. G. Mace
Department of Meteorology, University of Utah, Salt Lake City, UT, USA
R. T. Marchand
Joint Institute for the Study of the Atmosphere and Ocean, University of Washington, Seattle, WA, USA
Z. Wang
Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA
C. D. Barnet
NOAA – NESDIS, Silver Springs, MD, USA
A. Eldering
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
R. E. Holz
CIMSS – University of Wisconsin – Madison, Madison, WI, USA
R. E. Kuehn
NASA Langley Research Center, Hampton, VA, USA
D. G. Vane
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Viewed
Total article views: 6,482 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 27 Sep 2007)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,049 | 3,212 | 221 | 6,482 | 259 | 253 |
- HTML: 3,049
- PDF: 3,212
- XML: 221
- Total: 6,482
- BibTeX: 259
- EndNote: 253
Total article views: 5,787 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 04 Mar 2008)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,772 | 2,806 | 209 | 5,787 | 247 | 238 |
- HTML: 2,772
- PDF: 2,806
- XML: 209
- Total: 5,787
- BibTeX: 247
- EndNote: 238
Total article views: 695 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 27 Sep 2007)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 277 | 406 | 12 | 695 | 12 | 15 |
- HTML: 277
- PDF: 406
- XML: 12
- Total: 695
- BibTeX: 12
- EndNote: 15
Cited
82 citations as recorded by crossref.
- Assessment of the Quality of MODIS Cloud Products from Radiance Simulations S. Ham et al. https://doi.org/10.1175/2009JAMC2121.1
- Evaluation of upper tropospheric humidity forecasts from ECMWF using AIRS and CALIPSO data N. Lamquin et al. https://doi.org/10.5194/acp-9-1779-2009
- Comparison of Two Different Cloud Climatologies Derived from CALIOP-Attenuated Backscattered Measurements (Level 1): The CALIPSO-ST and the CALIPSO-GOCCP H. Chepfer et al. https://doi.org/10.1175/JTECH-D-12-00057.1
- Thermodynamic Phase and Ice Cloud Properties in Northern Hemisphere Winter Extratropical Cyclones Observed by Aqua AIRS C. Naud & B. Kahn https://doi.org/10.1175/JAMC-D-15-0045.1
- CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances J. Gong & D. Wu https://doi.org/10.5194/amt-7-1873-2014
- Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. https://doi.org/10.3390/rs11232811
- Estimation of fractional cloud cover for Moderate Resolution Imaging Spectroradiometer/Terra cloud mask classes with high‐resolution over ocean ASTER observations A. Kotarba https://doi.org/10.1029/2009JD013520
- Development of High Resolution Cloud Cover Climatology Databank Using Merged Manual and Satellite Datasets over Ghana, West Africa P. Asilevi Junior et al. https://doi.org/10.1080/07055900.2022.2072266
- Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The K-Coefficient Approach Using Cloud-Cleared Radiances as Input S. Ou et al. https://doi.org/10.1109/TGRS.2012.2205261
- Parallax correction in collocating CloudSat and Moderate Resolution Imaging Spectroradiometer (MODIS) observations: Method and application to convection study C. Wang et al. https://doi.org/10.1029/2011JD016097
- Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS F. Irion et al. https://doi.org/10.5194/amt-11-971-2018
- Cloud vertical structures associated with northward advance of the East Asian summer monsoon G. Sun et al. https://doi.org/10.1016/j.atmosres.2018.09.013
- Evaluation of AIRS Cloud Phase Classification over the Arctic Ocean against Combined CloudSat–CALIPSO Observations C. Peterson et al. https://doi.org/10.1175/JAMC-D-20-0016.1
- Variability in AIRS‐retrieved cloud amount and thermodynamic phase over west versus east Antarctica influenced by the SAM D. Lubin et al. https://doi.org/10.1002/2014GL062285
- Cumulus over the Tibetan Plateau in the Summer Based on CloudSat–CALIPSO Data Y. Li & M. Zhang https://doi.org/10.1175/JCLI-D-15-0492.1
- Assessment of AIRS Version 7 Temperature Profiles and Low-Level Inversions with GRUAN Radiosonde Observations in the Arctic L. Zhang et al. https://doi.org/10.3390/rs15051270
- Comprehensive analysis of cloudiness over Iran with CloudSat data E. Ghasemifar et al. https://doi.org/10.1007/s12517-021-06576-8
- Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al. https://doi.org/10.1016/j.atmosres.2024.107316
- Evaluation of single field‐of‐view cloud top height retrievals from hyperspectral infrared sounder radiances with CloudSat and CALIPSO measurements Z. Yao et al. https://doi.org/10.1002/jgrd.50681
- Combination of AIRS Dual CO2 Absorption Bands to Develop an Ice Clouds Detection Algorithm in Different Atmospheric Layers L. Wang et al. https://doi.org/10.3390/rs12010006
- Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals A. Guillaume et al. https://doi.org/10.5194/amt-12-4361-2019
- Validation of Forecast Cloud Parameters from Multispectral AIRS Radiances L. Garand et al. https://doi.org/10.1080/07055900.2011.567379
- Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. https://doi.org/10.1002/joc.7790
- Low‐latitude boundary layer clouds as seen by CALIPSO B. Medeiros et al. https://doi.org/10.1029/2010JD014437
- 基于集成学习的FY-4A云底高度反演方法 余. Yu Zhuofu et al. https://doi.org/10.3788/AOS220957
- Tropical thin cirrus and relative humidity observed by the Atmospheric Infrared Sounder B. Kahn et al. https://doi.org/10.5194/acp-8-1501-2008
- The Atmospheric Infrared Sounder version 6 cloud products B. Kahn et al. https://doi.org/10.5194/acp-14-399-2014
- Collocating satellite-based radar and radiometer measurements – methodology and usage examples G. Holl et al. https://doi.org/10.5194/amt-3-693-2010
- Stratocumulus in the Cold and Warm Sides of the Spring Kuroshio Sea Surface Temperature Front in the East China Sea Z. Zhang et al. https://doi.org/10.1029/2019JD032176
- Estimating Three-Dimensional Cloud Structure via Statistically Blended Satellite Observations S. Miller et al. https://doi.org/10.1175/JAMC-D-13-070.1
- Retrieval of upper tropospheric relative humidity profiles over low clouds from the Atmospheric Infrared Sounder H. Ishimoto https://doi.org/10.1029/2009GL037665
- Comparing MODIS and AIRS Infrared-Based Cloud Retrievals S. Nasiri et al. https://doi.org/10.1175/2010JAMC2603.1
- The thermodynamic state of the Arctic atmosphere observed by AIRS: comparisons during the record minimum sea ice extents of 2007 and 2012 A. Devasthale et al. https://doi.org/10.5194/acp-13-7441-2013
- The differences in cloud vertical structures between active and break spells of the East Asian summer monsoon based on CloudSat data G. Sun et al. https://doi.org/10.1016/j.atmosres.2019.03.035
- Global probability of a cloud-free line of sight and continuous cloud size from 17 years (2006–2023) of CALIPSO satellite LiDAR data P. Coye & A. Willitsford https://doi.org/10.1117/1.JRS.19.028503
- Cloud-State-Dependent Sampling in AIRS Observations Based on CloudSat Cloud Classification Q. Yue et al. https://doi.org/10.1175/JCLI-D-13-00065.1
- An improved cirrus detection algorithm MeCiDA2 for SEVIRI and its evaluation with MODIS F. Ewald et al. https://doi.org/10.5194/amt-6-309-2013
- Quantifying the Cloud Water Resource: Methods Based on Observational Diagnosis and Cloud Model Simulation M. Cai et al. https://doi.org/10.1007/s13351-020-9126-6
- Vertical distributions and relationships of cloud occurrence frequency as observed by MISR, AIRS, MODIS, OMI, CALIPSO, and CloudSat D. Wu et al. https://doi.org/10.1029/2009GL037464
- Explaining darker deep convective clouds over the western Pacific than over tropical continental convective regions B. Sohn et al. https://doi.org/10.5194/amt-8-4573-2015
- Dust aerosol impact on the retrieval of cloud top height from satellite observations of CALIPSO, CloudSat and MODIS W. Wang et al. https://doi.org/10.1016/j.jqsrt.2016.03.034
- Evaluation of AIRS Cloud-Thermodynamic-Phase Determination with CALIPSO H. Jin & S. Nasiri https://doi.org/10.1175/JAMC-D-13-0137.1
- Investigating the impact of haze on MODIS cloud detection F. Mao et al. https://doi.org/10.1002/2015JD023555
- An Efficient Cloud Classification Method Based on a Densely Connected Hybrid Convolutional Network for FY-4A B. Wang et al. https://doi.org/10.3390/rs15102673
- Cloudy and clear‐sky relative humidity in the upper troposphere observed by the A‐train B. Kahn et al. https://doi.org/10.1029/2009JD011738
- Dust semi-direct effects: low-level cloud response to free-tropospheric dust-induced longwave radiation over the North Atlantic Ocean S. Pandey & A. Adebiyi https://doi.org/10.5194/acp-26-217-2026
- A Neural Network Based Intelligent Predictive Sensor for Cloudiness, Solar Radiation and Air Temperature P. Ferreira et al. https://doi.org/10.3390/s121115750
- Consistency and differences between remotely sensed and surface observed total cloud cover over China H. Lu et al. https://doi.org/10.1080/01431161.2015.1072651
- Assessing the relationship between atmospheric aerosols and maximum surface air temperature over the Indian region T. Sarin & V. Vinoj https://doi.org/10.1038/s41598-026-40641-0
- Aerosol Induced Changes in Sea Surface Temperature Over the Bay of Bengal Due to COVID-19 Lockdown T. Sarin et al. https://doi.org/10.3389/fmars.2021.648566
- Fog Detection and Estimation Using CALIPSO Lidar Observations N. Qiao et al. https://doi.org/10.1029/2022GL101375
- Validation of MODIS cloud mask and multilayer flag using CloudSat‐CALIPSO cloud profiles and a cross‐reference of their cloud classifications T. Wang et al. https://doi.org/10.1002/2016JD025239
- Comparisons of cloud detection among four satellite sensors on severe haze days in eastern China S. Tan et al. https://doi.org/10.1080/16742834.2017.1381547
- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation C. Wang et al. https://doi.org/10.1002/2015JD024528
- Cloud height and tracking accuracy of three all sky imager systems for individual clouds B. Nouri et al. https://doi.org/10.1016/j.solener.2018.10.079
- High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations W. Wang et al. https://doi.org/10.1155/2022/2492567
- A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat C. Stubenrauch et al. https://doi.org/10.5194/acp-10-7197-2010
- Application of aircraft observations over Beijing in cloud microphysical property retrievals from CloudSat L. Wang et al. https://doi.org/10.1007/s00376-013-3156-2
- Vertical structure of cloud macro- and microphysical properties under the Southwest Vortex systems in the warm season based on CloudSat X. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108443
- View-angle dependent AIRS cloud radiances: Implications for tropical anvil structures J. Gong & D. Wu https://doi.org/10.1029/2011GL047910
- Influence of the Arctic Oscillation on the vertical distribution of clouds as observed by the A-Train constellation of satellites A. Devasthale et al. https://doi.org/10.5194/acp-12-10535-2012
- Using CloudSat Cloud Retrievals to Differentiate Satellite-Derived Rainfall Products over West Africa A. Tompkins & A. Adebiyi https://doi.org/10.1175/JHM-D-12-039.1
- Deriving AMVs from Geostationary Satellite Images Using Optical Flow Algorithm Based on Polynomial Expansion Q. Wu et al. https://doi.org/10.1175/JTECH-D-16-0013.1
- Cloud-Top Height Comparison from Multi-Satellite Sensors and Ground-Based Cloud Radar over SACOL Site X. Yang et al. https://doi.org/10.3390/rs13142715
- Cloud Classification by Machine Learning for Geostationary Radiation Imager B. Guo et al. https://doi.org/10.1109/TGRS.2024.3353373
- Evaluation against CALIPSO lidar observations of the multi‐geostationary cloud cover and type dataset assembled in the framework of the Megha‐Tropiques mission G. Sèze et al. https://doi.org/10.1002/qj.2392
- Advances in simultaneous atmospheric profile and cloud parameter regression based retrieval from high‐spectral resolution radiance measurements E. Weisz et al. https://doi.org/10.1002/jgrd.50521
- Spatial statistics of likely convective clouds in CloudSat data J. Bacmeister & G. Stephens https://doi.org/10.1029/2010JD014444
- A Global Climatology of Temperature and Water Vapor Variance Scaling from the Atmospheric Infrared Sounder B. Kahn & J. Teixeira https://doi.org/10.1175/2009JCLI2934.1
- On the effect of dust aerosols on AIRS and IASI operational level 2 products E. Maddy et al. https://doi.org/10.1029/2012GL052070
- Determination of cloud transmittance for all sky imager based solar nowcasting B. Nouri et al. https://doi.org/10.1016/j.solener.2019.02.004
- Spatial and Temporal Characteristics of Cirrus Clouds over the Tibetan Plateau Based on CALIPSO and AIRS Observations H. Liu et al. https://doi.org/10.1155/2019/6989648
- Influences of large-scale convection and moisture source on monthly precipitation isotope ratios observed in Thailand, Southeast Asia Z. Wei et al. https://doi.org/10.1016/j.epsl.2018.02.015
- Comparative assessment of a near‐global view of individual cloud types from space‐borne active and passive sensors and ground‐based observations T. Sarkar et al. https://doi.org/10.1002/joc.7693
- Intercomparisons of cloud-top and cloud-base heights from ground-based Lidar, CloudSat and CALIPSO measurements S. Kim et al. https://doi.org/10.1080/01431160903527439
- Global cloud-layer distribution statistics from 1 year CALIPSO lidar observations D. Wu et al. https://doi.org/10.1080/01431160903530821
- Cirrus cloud macrophysical and optical properties over North China from CALIOP measurements M. Min et al. https://doi.org/10.1007/s00376-010-0049-5
- An Approach for Improving Cirrus Cloud-Top Pressure/Height Estimation by Merging High-Spatial-Resolution Infrared-Window Imager Data with High-Spectral-Resolution Sounder Data E. Weisz et al. https://doi.org/10.1175/JAMC-D-11-0170.1
- Outgoing Longwave Radiation due to Directly Transmitted Surface Emission S. Costa & K. Shine https://doi.org/10.1175/JAS-D-11-0248.1
- Equipment and methodologies for cloud detection and classification: A review R. Tapakis & A. Charalambides https://doi.org/10.1016/j.solener.2012.11.015
- Spring Planetary Boundary Layer Structure and Corresponding Cloud Characteristics Under Different Prevailing Wind Directions Over the Kuroshio Sea Surface Temperature Front in the East China Sea Z. Zhang & Y. Li https://doi.org/10.1029/2020JD034006
- A cloud classification method based on random forest for FY-4A Z. Yu et al. https://doi.org/10.1080/01431161.2020.1871098
82 citations as recorded by crossref.
- Assessment of the Quality of MODIS Cloud Products from Radiance Simulations S. Ham et al. https://doi.org/10.1175/2009JAMC2121.1
- Evaluation of upper tropospheric humidity forecasts from ECMWF using AIRS and CALIPSO data N. Lamquin et al. https://doi.org/10.5194/acp-9-1779-2009
- Comparison of Two Different Cloud Climatologies Derived from CALIOP-Attenuated Backscattered Measurements (Level 1): The CALIPSO-ST and the CALIPSO-GOCCP H. Chepfer et al. https://doi.org/10.1175/JTECH-D-12-00057.1
- Thermodynamic Phase and Ice Cloud Properties in Northern Hemisphere Winter Extratropical Cyclones Observed by Aqua AIRS C. Naud & B. Kahn https://doi.org/10.1175/JAMC-D-15-0045.1
- CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances J. Gong & D. Wu https://doi.org/10.5194/amt-7-1873-2014
- Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D C. Lima et al. https://doi.org/10.3390/rs11232811
- Estimation of fractional cloud cover for Moderate Resolution Imaging Spectroradiometer/Terra cloud mask classes with high‐resolution over ocean ASTER observations A. Kotarba https://doi.org/10.1029/2009JD013520
- Development of High Resolution Cloud Cover Climatology Databank Using Merged Manual and Satellite Datasets over Ghana, West Africa P. Asilevi Junior et al. https://doi.org/10.1080/07055900.2022.2072266
- Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The K-Coefficient Approach Using Cloud-Cleared Radiances as Input S. Ou et al. https://doi.org/10.1109/TGRS.2012.2205261
- Parallax correction in collocating CloudSat and Moderate Resolution Imaging Spectroradiometer (MODIS) observations: Method and application to convection study C. Wang et al. https://doi.org/10.1029/2011JD016097
- Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS F. Irion et al. https://doi.org/10.5194/amt-11-971-2018
- Cloud vertical structures associated with northward advance of the East Asian summer monsoon G. Sun et al. https://doi.org/10.1016/j.atmosres.2018.09.013
- Evaluation of AIRS Cloud Phase Classification over the Arctic Ocean against Combined CloudSat–CALIPSO Observations C. Peterson et al. https://doi.org/10.1175/JAMC-D-20-0016.1
- Variability in AIRS‐retrieved cloud amount and thermodynamic phase over west versus east Antarctica influenced by the SAM D. Lubin et al. https://doi.org/10.1002/2014GL062285
- Cumulus over the Tibetan Plateau in the Summer Based on CloudSat–CALIPSO Data Y. Li & M. Zhang https://doi.org/10.1175/JCLI-D-15-0492.1
- Assessment of AIRS Version 7 Temperature Profiles and Low-Level Inversions with GRUAN Radiosonde Observations in the Arctic L. Zhang et al. https://doi.org/10.3390/rs15051270
- Comprehensive analysis of cloudiness over Iran with CloudSat data E. Ghasemifar et al. https://doi.org/10.1007/s12517-021-06576-8
- Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al. https://doi.org/10.1016/j.atmosres.2024.107316
- Evaluation of single field‐of‐view cloud top height retrievals from hyperspectral infrared sounder radiances with CloudSat and CALIPSO measurements Z. Yao et al. https://doi.org/10.1002/jgrd.50681
- Combination of AIRS Dual CO2 Absorption Bands to Develop an Ice Clouds Detection Algorithm in Different Atmospheric Layers L. Wang et al. https://doi.org/10.3390/rs12010006
- Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals A. Guillaume et al. https://doi.org/10.5194/amt-12-4361-2019
- Validation of Forecast Cloud Parameters from Multispectral AIRS Radiances L. Garand et al. https://doi.org/10.1080/07055900.2011.567379
- Cloud macrophysical characteristics in China mainland and east coast from 2006 to 2017 using satellite active remote sensing observations Y. Chi et al. https://doi.org/10.1002/joc.7790
- Low‐latitude boundary layer clouds as seen by CALIPSO B. Medeiros et al. https://doi.org/10.1029/2010JD014437
- 基于集成学习的FY-4A云底高度反演方法 余. Yu Zhuofu et al. https://doi.org/10.3788/AOS220957
- Tropical thin cirrus and relative humidity observed by the Atmospheric Infrared Sounder B. Kahn et al. https://doi.org/10.5194/acp-8-1501-2008
- The Atmospheric Infrared Sounder version 6 cloud products B. Kahn et al. https://doi.org/10.5194/acp-14-399-2014
- Collocating satellite-based radar and radiometer measurements – methodology and usage examples G. Holl et al. https://doi.org/10.5194/amt-3-693-2010
- Stratocumulus in the Cold and Warm Sides of the Spring Kuroshio Sea Surface Temperature Front in the East China Sea Z. Zhang et al. https://doi.org/10.1029/2019JD032176
- Estimating Three-Dimensional Cloud Structure via Statistically Blended Satellite Observations S. Miller et al. https://doi.org/10.1175/JAMC-D-13-070.1
- Retrieval of upper tropospheric relative humidity profiles over low clouds from the Atmospheric Infrared Sounder H. Ishimoto https://doi.org/10.1029/2009GL037665
- Comparing MODIS and AIRS Infrared-Based Cloud Retrievals S. Nasiri et al. https://doi.org/10.1175/2010JAMC2603.1
- The thermodynamic state of the Arctic atmosphere observed by AIRS: comparisons during the record minimum sea ice extents of 2007 and 2012 A. Devasthale et al. https://doi.org/10.5194/acp-13-7441-2013
- The differences in cloud vertical structures between active and break spells of the East Asian summer monsoon based on CloudSat data G. Sun et al. https://doi.org/10.1016/j.atmosres.2019.03.035
- Global probability of a cloud-free line of sight and continuous cloud size from 17 years (2006–2023) of CALIPSO satellite LiDAR data P. Coye & A. Willitsford https://doi.org/10.1117/1.JRS.19.028503
- Cloud-State-Dependent Sampling in AIRS Observations Based on CloudSat Cloud Classification Q. Yue et al. https://doi.org/10.1175/JCLI-D-13-00065.1
- An improved cirrus detection algorithm MeCiDA2 for SEVIRI and its evaluation with MODIS F. Ewald et al. https://doi.org/10.5194/amt-6-309-2013
- Quantifying the Cloud Water Resource: Methods Based on Observational Diagnosis and Cloud Model Simulation M. Cai et al. https://doi.org/10.1007/s13351-020-9126-6
- Vertical distributions and relationships of cloud occurrence frequency as observed by MISR, AIRS, MODIS, OMI, CALIPSO, and CloudSat D. Wu et al. https://doi.org/10.1029/2009GL037464
- Explaining darker deep convective clouds over the western Pacific than over tropical continental convective regions B. Sohn et al. https://doi.org/10.5194/amt-8-4573-2015
- Dust aerosol impact on the retrieval of cloud top height from satellite observations of CALIPSO, CloudSat and MODIS W. Wang et al. https://doi.org/10.1016/j.jqsrt.2016.03.034
- Evaluation of AIRS Cloud-Thermodynamic-Phase Determination with CALIPSO H. Jin & S. Nasiri https://doi.org/10.1175/JAMC-D-13-0137.1
- Investigating the impact of haze on MODIS cloud detection F. Mao et al. https://doi.org/10.1002/2015JD023555
- An Efficient Cloud Classification Method Based on a Densely Connected Hybrid Convolutional Network for FY-4A B. Wang et al. https://doi.org/10.3390/rs15102673
- Cloudy and clear‐sky relative humidity in the upper troposphere observed by the A‐train B. Kahn et al. https://doi.org/10.1029/2009JD011738
- Dust semi-direct effects: low-level cloud response to free-tropospheric dust-induced longwave radiation over the North Atlantic Ocean S. Pandey & A. Adebiyi https://doi.org/10.5194/acp-26-217-2026
- A Neural Network Based Intelligent Predictive Sensor for Cloudiness, Solar Radiation and Air Temperature P. Ferreira et al. https://doi.org/10.3390/s121115750
- Consistency and differences between remotely sensed and surface observed total cloud cover over China H. Lu et al. https://doi.org/10.1080/01431161.2015.1072651
- Assessing the relationship between atmospheric aerosols and maximum surface air temperature over the Indian region T. Sarin & V. Vinoj https://doi.org/10.1038/s41598-026-40641-0
- Aerosol Induced Changes in Sea Surface Temperature Over the Bay of Bengal Due to COVID-19 Lockdown T. Sarin et al. https://doi.org/10.3389/fmars.2021.648566
- Fog Detection and Estimation Using CALIPSO Lidar Observations N. Qiao et al. https://doi.org/10.1029/2022GL101375
- Validation of MODIS cloud mask and multilayer flag using CloudSat‐CALIPSO cloud profiles and a cross‐reference of their cloud classifications T. Wang et al. https://doi.org/10.1002/2016JD025239
- Comparisons of cloud detection among four satellite sensors on severe haze days in eastern China S. Tan et al. https://doi.org/10.1080/16742834.2017.1381547
- Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation C. Wang et al. https://doi.org/10.1002/2015JD024528
- Cloud height and tracking accuracy of three all sky imager systems for individual clouds B. Nouri et al. https://doi.org/10.1016/j.solener.2018.10.079
- High Pollution Loadings Influence the Reliability of Himawari-8 Cloud-Mask in Comparison with Space-Based Lidar and Surface Observations W. Wang et al. https://doi.org/10.1155/2022/2492567
- A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat C. Stubenrauch et al. https://doi.org/10.5194/acp-10-7197-2010
- Application of aircraft observations over Beijing in cloud microphysical property retrievals from CloudSat L. Wang et al. https://doi.org/10.1007/s00376-013-3156-2
- Vertical structure of cloud macro- and microphysical properties under the Southwest Vortex systems in the warm season based on CloudSat X. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108443
- View-angle dependent AIRS cloud radiances: Implications for tropical anvil structures J. Gong & D. Wu https://doi.org/10.1029/2011GL047910
- Influence of the Arctic Oscillation on the vertical distribution of clouds as observed by the A-Train constellation of satellites A. Devasthale et al. https://doi.org/10.5194/acp-12-10535-2012
- Using CloudSat Cloud Retrievals to Differentiate Satellite-Derived Rainfall Products over West Africa A. Tompkins & A. Adebiyi https://doi.org/10.1175/JHM-D-12-039.1
- Deriving AMVs from Geostationary Satellite Images Using Optical Flow Algorithm Based on Polynomial Expansion Q. Wu et al. https://doi.org/10.1175/JTECH-D-16-0013.1
- Cloud-Top Height Comparison from Multi-Satellite Sensors and Ground-Based Cloud Radar over SACOL Site X. Yang et al. https://doi.org/10.3390/rs13142715
- Cloud Classification by Machine Learning for Geostationary Radiation Imager B. Guo et al. https://doi.org/10.1109/TGRS.2024.3353373
- Evaluation against CALIPSO lidar observations of the multi‐geostationary cloud cover and type dataset assembled in the framework of the Megha‐Tropiques mission G. Sèze et al. https://doi.org/10.1002/qj.2392
- Advances in simultaneous atmospheric profile and cloud parameter regression based retrieval from high‐spectral resolution radiance measurements E. Weisz et al. https://doi.org/10.1002/jgrd.50521
- Spatial statistics of likely convective clouds in CloudSat data J. Bacmeister & G. Stephens https://doi.org/10.1029/2010JD014444
- A Global Climatology of Temperature and Water Vapor Variance Scaling from the Atmospheric Infrared Sounder B. Kahn & J. Teixeira https://doi.org/10.1175/2009JCLI2934.1
- On the effect of dust aerosols on AIRS and IASI operational level 2 products E. Maddy et al. https://doi.org/10.1029/2012GL052070
- Determination of cloud transmittance for all sky imager based solar nowcasting B. Nouri et al. https://doi.org/10.1016/j.solener.2019.02.004
- Spatial and Temporal Characteristics of Cirrus Clouds over the Tibetan Plateau Based on CALIPSO and AIRS Observations H. Liu et al. https://doi.org/10.1155/2019/6989648
- Influences of large-scale convection and moisture source on monthly precipitation isotope ratios observed in Thailand, Southeast Asia Z. Wei et al. https://doi.org/10.1016/j.epsl.2018.02.015
- Comparative assessment of a near‐global view of individual cloud types from space‐borne active and passive sensors and ground‐based observations T. Sarkar et al. https://doi.org/10.1002/joc.7693
- Intercomparisons of cloud-top and cloud-base heights from ground-based Lidar, CloudSat and CALIPSO measurements S. Kim et al. https://doi.org/10.1080/01431160903527439
- Global cloud-layer distribution statistics from 1 year CALIPSO lidar observations D. Wu et al. https://doi.org/10.1080/01431160903530821
- Cirrus cloud macrophysical and optical properties over North China from CALIOP measurements M. Min et al. https://doi.org/10.1007/s00376-010-0049-5
- An Approach for Improving Cirrus Cloud-Top Pressure/Height Estimation by Merging High-Spatial-Resolution Infrared-Window Imager Data with High-Spectral-Resolution Sounder Data E. Weisz et al. https://doi.org/10.1175/JAMC-D-11-0170.1
- Outgoing Longwave Radiation due to Directly Transmitted Surface Emission S. Costa & K. Shine https://doi.org/10.1175/JAS-D-11-0248.1
- Equipment and methodologies for cloud detection and classification: A review R. Tapakis & A. Charalambides https://doi.org/10.1016/j.solener.2012.11.015
- Spring Planetary Boundary Layer Structure and Corresponding Cloud Characteristics Under Different Prevailing Wind Directions Over the Kuroshio Sea Surface Temperature Front in the East China Sea Z. Zhang & Y. Li https://doi.org/10.1029/2020JD034006
- A cloud classification method based on random forest for FY-4A Z. Yu et al. https://doi.org/10.1080/01431161.2020.1871098
Saved (final revised paper)
Latest update: 18 Sep 2026
Altmetrics
Final-revised paper
Preprint