- 1.
Adhikari L and Wang Z E. 2013. An A-train satellite based stratiform mixed-phase cloud retrieval algorithm by combining active and passive sensor measurements. British Journal of Environment and Climate Change, 3(4): 587-611
- 2.
Adhikari L, Wang Z E and Deng M. 2012. Seasonal variations of Antarctic clouds observed by CloudSat and CALIPSO satellites. Journal of Geophysical Research: Atmospheres, 117(D4): D04202
- 3.
Austin R T, Heymsfield A J and Stephens G L. 2009. Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature. Journal of Geophysical Research: Atmospheres, 114(D8): D00A23
- 4.
Barker H W, Jerg M P, Wehr T, Kato S, Donovan D P and Hogan R J. 2011. A 3D cloud-construction algorithm for the EarthCARE satellite mission. Quarterly Journal of the Royal Meteorological Society, 137(657): 1042-1058
- 5.
Battaglia A, Dhillon R and Illingworth A. 2018. Doppler W-band polarization diversity space-borne radar simulator for wind studies. Atmospheric Measurement Techniques, 11(11): 5965-5979
- 6.
Battaglia A, Kollias P, Dhillon R, Roy R, Tanelli S, Lamer K, Grecu M, Lebsock M, Watters D, Mroz K, Heymsfield G, Li L H and Furukawa K. 2020. Spaceborne cloud and precipitation radars: status, challenges, and ways forward. Reviews of Geophysics, 58(3): e2019RG000686
- 7.
Battaglia A, Westbrook C D, Kneifel S, Kollias P, Humpage N, Löhnert U, Tyynelä J and Petty G W. 2014. G band atmospheric radars: new frontiers in cloud physics. Atmospheric Measurement Techniques, 7(6): 1527-1546
- 8.
Carminati F, Atkinson N, Candy B and Lu Q F. 2021. Insights into the microwave instruments onboard the Fengyun 3D satellite: data quality and assimilation in the Met office NWP system. Advances in Atmospheric Sciences, 38(8): 1379-1396
- 9.
Casella D, Panegrossi G, Sanò P, Marra A C, Dietrich S, Johnson B T and Kulie M S. 2017. Evaluation of the GPM-DPR snowfall detection capability: comparison with CloudSat-CPR. Atmospheric Research, 197: 64-75
- 10.
Chen G, Yang J, Zhang B T and Ma C Y. 2019. Thoughts and prospects on the new generation of marine science satellites. Periodical of Ocean University of China, 49(10): 110-117
- 11.
Chen T M, Guo J P, Li Z Q, Zhao C F, Liu H, Cribb M, Wang F and He J. 2016. A CloudSat perspective on the cloud climatology and its association with aerosol perturbations in the vertical over eastern China. Journal of the Atmospheric Sciences, 73(9): 3599-3616
- 12.
Chen Z T and Sun X B. 2019. Dynamic spatial fusion of cloud top phase from PARASOL, CALIPSO, CloudSat satellite data. Journal of Quantitative Spectroscopy and Radiative Transfer, 224: 176-184
- 13.
Chepfer H, Bony S, Winker D, Chiriaco M, Dufresne J L and Sèze G. 2008. Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model. Geophysical Research Letters, 35(15): L15704
- 14.
Da Silva A M, Maring H, Seidel F, Behrenfeld M, Ferrare R and Mace G. 2020. Aerosol, cloud, ecosystems (ACE) final study report. National Aeronautics and Space Administration, Goddard Space Flight Center. [2020-09-17]
- 15.
Das S K, Golhait P B and Uma K N. 2017. Clouds vertical properties over the Northern Hemisphere monsoon regions from CloudSat-CALIPSO measurements. Atmospheric Research, 183: 73-83
- 16.
Deng M, Mace G G, Wang Z E and Berry E. 2015. CloudSat 2C-ICE product update with a new Ze parameterization in lidar-only region. Journal of Geophysical Research: Atmospheres, 120(23): 12198-12208
- 17.
Devasthale A and Thomas M A. 2011. A global survey of aerosol-liquid water cloud overlap based on four years of CALIPSO-CALIOP data. Atmospheric Chemistry and Physics, 11(3): 1143-1154
- 18.
Ding S G, Zhao C S, Shi G Y and Wu C A. 2005. Analysis of global total cloud amount variation over the past 20 years. Journal of Applied Meteorological Science, 16(5): 670-677
- 19.
Do Carmo J P, De Villele G, Helière A, Wallace K, Lefebvre A and Chassat F. 2019. ATLID, ESA atmospheric backscatter LIDAR for the ESA EarthCARE mission. CEAS Space Journal, 11(4): 423-435
- 20.
Dodson J B, Taylor P C and Branson M. 2018. Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework. Atmospheric Chemistry and Physics, 18(9): 6493-6510
- 21.
Donaldson Jr R J. 1955. The measurement of cloud liquid-water content by radar. Journal of the Atmospheric Sciences, 12(3): 238-244
- 22.
Fu Y F. 2018. Research actuality of remote sensing on cloud precipitation and reflections on summer East Asian cloud precipitation. Torrential Rain and Disasters, 37(6): 493-501
- 23.
Galletti M, Huang D and Kollias P. 2014. Zenith/nadir pointing mm-wave radars: linear or circular polarization?. IEEE Transactions on Geoscience and Remote Sensing, 52(1): 628-639
- 24.
Grenier P and Blanchet J P. 2010. Investigation of the sulphate-induced freezing inhibition effect from CloudSat and CALIPSO measurements. Journal of Geophysical Research: Atmospheres, 115(D22): D22205
- 25.
Grenier P, Blanchet J P and Muñoz‐Alpizar R. 2009. Study of polar thin ice clouds and aerosols seen by CloudSat and CALIPSO during midwinter 2007. Journal of Geophysical Research: Atmospheres, 114(D9): D09201
- 26.
Guo J J, Yan Z A, Wu S H, Song X Q and Liu Z S. 2008. Low level atmospheric temperature measurement with high spectral resolution lidar. Journal of Optoelectronics Laser, 19(1): 66-69
- 27.
Guo J P, Liu B M, Gong W, Shi L J, Zhang Y, Ma Y Y, Zhang J, Chen T M, Bai K X, Stoffelen A, De Leeuw G and Xu X F. 2021. Technical note: First comparison of wind observations from ESA’s satellite mission Aeolus and ground-based radar wind profiler network of China. Atmospheric Chemistry and Physics, 21(4): 2945-2958
- 28.
Guo J P, Liu H, Wang F, Huang J F, Xia F, Lou M Y, Wu Y R, Jiang J H, Xie T, Zhaxi Y Z and Yung Y L. 2016. Three-dimensional structure of aerosol in China: A perspective from multi-satellite observations. Atmospheric Research, 178-179: 580-589
- 29.
Guo J P, Lou M Y, Miao Y C, Wang Y, Zeng Z L, Liu H, He J, Xu H, Wang F, Min M and Zhai P M. 2017. Trans-Pacific transport of dust aerosols from East Asia: Insights gained from multiple observations and modeling. Environmental Pollution, 230: 1030-1039
- 30.
Guo Z and Zhou T J. 2015. Seasonal variation and physical properties of the cloud system over southeastern China derived from CloudSat products. Advances in Atmospheric Sciences, 32(5): 659-670
- 31.
Hashino T, Satoh M, Hagihara Y, Kubota T, Matsui T, Nasuno T and Okamoto H. 2013. Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO. Journal of Geophysical Research: Atmospheres, 118(13): 7273-7292
- 32.
Hélière A, Gelsthorpe R, Le Hors L and Toulemont Y. 2017. ATLID, the atmospheric lidar on board the Earthcare Satellite//Proceedings of the SPIE 10564, International Conference on Space Optics. Ajaccio: SPIE: 105642D
- 33.
Helière A, Wallace K, Do Carmo P J, Eisinger M, Wehr T and Lefebvre A. 2017. EarthCARE instruments description , ESA (European Space Agency) Report . [2017-05-24]. [2017-05-24]
- 34.
Holzworth G C and Edinger J G. 1960. Angcl observations with the AN/TPQ-6 at Santa Monica, Calif//Proceedings of the Eighth Weather Radar Conference, San Francisco, California: 135-142
- 35.
Hu Z Y, Zhao C, Huang J P, Leung L R, Qian Y, Yu H B, Huang L and Kalashnikova O V. 2016. Trans-Pacific transport and evolution of aerosols: evaluation of quasi-global WRF-Chem simulation with multiple observations. Geoscientific Model Development, 9(5): 1725-1746
- 36.
Huang J, Fu Q, Su J, Tang Q, Minnis P, Hu Y, Yi Y and Zhao Q. 2009. Taklimakan dust aerosol radiative heating derived from CALIPSO observations using the Fu-Liou radiation model with CERES constraints. Atmospheric Chemistry and Physics, 9(12): 4011-4021
- 37.
Huang J F, Guo J P, Wang F, Liu Z Y, Jeong M J, Yu H B and Zhang Z B. 2015. CALIPSO inferred most probable heights of global dust and smoke layers. Journal of Geophysical Research: Atmospheres, 120(10): 5085-5100
- 38.
Hunt W H, Winker D M, Vaughan M A, Powell K A, Lucker P L and Weimer C. 2009. CALIPSO lidar description and performance assessment. Journal of Atmospheric and Oceanic Technology, 26(7): 1214-1228
- 39.
Illingworth A J, Barker H W, Beljaars A, Ceccaldi M, Chepfer H, Clerbaux N, Cole J, Delanoë J, Domenech C, Donovan D P, Fukuda S, Hirakata M, Hogan R J, Huenerbein A, Kollias P, Kubota T, Nakajima T, Nakajima T Y, Nishizawa T, Ohno Y, Okamoto H, Oki R, Sato K, Satoh M, Shephard M W, Velázquez-Blázquez A, Wandinger U, Wehr T and Van Zadelhoff G J. 2015. The EarthCARE satellite: the next step forward in global measurements of clouds, aerosols, precipitation, and radiation. Bulletin of the American Meteorological Society, 96(8): 1311-1332
- 40.
Im E, Durden S L, Li F K, Wu C and Haddad Z S. 2001. CloudSat radar instrument design and development status//IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217). Sydney, Australia: IEEE: 691-693
- 41.
Kalesse H, Kollias P and Szyrmer W. 2013. On using the relationship between Doppler velocity and radar reflectivity to identify microphysical processes in midlatitudinal ice clouds. Journal of Geophysical Research: Atmospheres, 118(21): 12168-12179
- 42.
Kato S, Rose F G, Sun-Mack S, Miller W F, Chen Y, Rutan D A, Stephens G L, Loeb N G, Minnis P, Wielicki B A, Winker D M, Charlock T P, Stackhouse Jr P W, Xu K M and Collins W D. 2011. Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties. Journal of Geophysical Research: Atmospheres, 116(D19): D19209
- 43.
Kato S, Sun-Mack S, Miller W F, Rose F G, Chen Y, Minnis P and Wielicki B A. 2010. Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles. Journal of Geophysical Research: Atmospheres, 115(D4): D00H28
- 44.
Kollias P, Clothiaux E E, Ackerman T P, Albrecht B A, Widener K B, Moran K P, Luke E P, Johnson K L, Bharadwaj N, Mead J B, Miller M A, Verlinde J, Marchand R T and Mace G G. 2016. Development and applications of ARM millimeter-wavelength cloud radars. Meteorological Monographs, 57(1): 17.1-17.19
- 45.
Kollias P, Clothiaux E E, Miller M A, Albrecht B A, Stephens G L and Ackerman T P. 2007. Millimeter-wavelength radars: new frontier in atmospheric cloud and precipitation research. Bulletin of the American Meteorological Society, 88(10): 1608-1624
- 46.
Kukulies J, Chen D L and Wang M H. 2019. Temporal and spatial variations of convection and precipitation over the Tibetan Plateau based on recent satellite observations. Part I: cloud climatology derived from CloudSat and CALIPSO. International Journal of Climatology, 39(14): 5396-5412
- 47.
LaBelle R, Girard R and Arbery G. 2003. A 94 GHz RF electronics subsystem for the CloudSat Cloud Profiling Radar//33rd European Microwave Conference Proceedings. Munich: IEEE: 1139-1142
- 48.
L’Ecuyer T S and Jiang J H. 2011. Touring the atmosphere aboard the A-train. AIP Conference Proceedings, 1401(1): 245-256
- 49.
L’Ecuyer T S, Wood N B, Haladay T, Stephens G L and Stackhouse Jr P W. 2008. Impact of clouds on atmospheric heating based on the R04 CloudSat fluxes and heating rates data set. Journal of Geophysical Research: Atmospheres, 113(D8): D00A15
- 50.
Li J, Qin Z K and Liu G Q. 2016. A new generation of Chinese FY-3C microwave sounding measurements and the initial assessments of its observations. International Journal of Remote Sensing, 37(17): 4035-4058
- 51.
Li L H, Heymsfield G M, Racette P E, Tian L and Zenker E. 2004. A 94-GHz cloud radar system on a NASA high-altitude ER-2 aircraft. Journal of Atmospheric and Oceanic Technology, 21(9): 1378-1388
- 52.
Li Z Q, Barker H W and Moreau L. 1995. The variable effect of clouds on atmospheric absorption of solar radiation. Nature, 376(6540): 486-490
- 53.
Liu B M, Ma Y Y, Gong W, Zhang M, Wang W and Shi Y F. 2018. Comparison of AOD from CALIPSO, MODIS, and sun photometer under different conditions over Central China. Scientific Reports, 8(1): 10066.
- 54.
Liu Y H, Key J R, Ackerman S A, Mace G G and Zhang Q Q. 2012. Arctic cloud macrophysical characteristics from CloudSat and CALIPSO. Remote Sensing of Environment, 124: 159-173
- 55.
Liu Y M, Yan Y F, Lv J H and Liu X L. 2018. Review of current investigations of cloud, radiation and rainfall over the Tibetan Plateau with the CloudSat/CALIPSO dataset. Chinese Journal of Atmospheric Sciences, 42(4): 847-858
- 56.
Liu Z Y, Vaughan M, Winker D, Kittaka C, Getzewich B, Kuehn R, Omar A, Powell K, Trepte C and Hostetler C. 2009. The CALIPSO lidar cloud and aerosol discrimination: version 2 algorithm and initial assessment of performance. Journal of Atmospheric and Oceanic Technology, 26(7): 1198-1213
- 57.
Lu N M, Min M, Dong L X, Guo J P, Niu T, Liu H L, Bi Y M, Wang X and Chen L. 2016. Development and prospect of spaceborne LiDAR for atmospheric detection. Journal of Remote Sensing, 20(1): 1-10
- 58.
Luo Z Z, Liu G Y and Stephens G L. 2008. CloudSat adding new insight into tropical penetrating convection. Geophysical Research Letters, 35(19): L19819
- 59.
Lux O, Lemmerz C, Weiler F, Marksteiner U, Witschas B, Rahm S, Geiß A and Reitebuch O. 2020. Intercomparison of wind observations from the European Space Agency’s Aeolus satellite mission and the ALADIN Airborne Demonstrator. Atmospheric Measurement Techniques, 13(4): 2075-2097
- 60.
Mace G G, Zhang Q Q, Vaughan M, Marchand R, Stephens G L, Trepte C and Winker D M. 2009. A description of hydrometeor layer occurrence statistics derived from the first year of merged Cloudsat and CALIPSO data. Journal of Geophysical Research: Atmospheres, 114(D8): D00A26
- 61.
Mao F Y, Zhao M D, Gong W, Chen L Z and Liang Z X. 2021. Layer detection algorithm for CALIPSO observation based on automatic segmentation with a minimum cost function. Journal of Quantitative Spectroscopy and Radiative Transfer, 261: 107498
- 62.
Marchand R, Haynes J, Mace G G, Ackerman T and Stephens G. 2009. A comparison of simulated cloud radar output from the multiscale modeling framework global climate model with CloudSat cloud radar observations. Journal of Geophysical Research: Atmospheres, 114(D8): D00A20
- 63.
Marini A E. 1998. ATLID: the technology development programme for ESA’s satellite-borne atmospheric lidar .ESA Bulletin, [1998-08-15]
- 64.
Matrosov S Y. 2011. CloudSat measurements of landfalling hurricanes Gustav and Ike (2008). Journal of Geophysical Research: Atmospheres, 116(D1): D01203
- 65.
Min M, Wang P C, Campbell J R, Zong X M and Li Y. 2010. Midlatitude cirrus cloud radiative forcing over China. Journal of Geophysical Research: Atmospheres, 115(D20): D20210
- 66.
Mu Y J, Wan Y, Liu J Q, Hou X and Chen W B. 2018. Optomechanical analysis and optimization of spaceborne lidar telescope primary mirror. Infrared and Laser Engineering, 47(7): 0718002
- 67.
Müller D, Hostetler C A, Ferrare R A, Burton S P, Chemyakin E, Kolgotin A, Hair J W, Cook A L, Harper D B, Rogers R R, Hare R W, Cleckner C S, Obland M D, Tomlinson J, Berg L K and Schmid B. 2014. Airborne Multiwavelength High Spectral Resolution Lidar (HSRL-2) observations during TCAP 2012: vertical profiles of optical and microphysical properties of a smoke/urban haze plume over the northeastern coast of the US. Atmospheric Measurement Techniques, 7(10): 3487-3496
- 68.
Nam C C W and Quaas J. 2012. Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data. Journal of Climate, 25(14): 4975-4992
- 69.
Nazaryan H, McCormick M P and Menzel W P. 2008. Global characterization of cirrus clouds using CALIPSO data. Journal of Geophysical Research: Atmospheres, 113(D16): D16211
- 70.
Norin L, Devasthale A, L’Ecuyer T S, Wood N B and Smalley M. 2015. Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground-based weather radar network over Sweden. Atmospheric Measurement Techniques, 8(12): 5009-5021
- 71.
Pan H L, Bu L B, Kumar K R, Gao H Y, Huang X Y and Zhang W T. 2017. A new retrieval method for the ice water content of cirrus using data from the CloudSat and CALIPSO. Journal of Atmospheric and Solar-Terrestrial Physics, 161: 134-142
- 72.
Parkinson C L. 2003. Aqua: An Earth-observing satellite mission to examine water and other climate variables. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 173-183
- 73.
Pitts M C, Poole L R and Thomason L W. 2009. CALIPSO polar stratospheric cloud observations: Second-generation detection algorithm and composition discrimination. Atmospheric Chemistry and Physics, 9(19): 7577-7589
- 74.
Qiu J H, Lv D R, Chen H B, Wang G C and Shi G Y. 2003. Modern research progresses in atmospheric physics. Chinese Journal of Atmospheric Sciences, 27(4): 628-652
- 75.
Qiu J W, Xia H Y, Shangguan M J, Dou X K, Li M Y, Wang C, Shang X, Lin S F and Liu J J. 2017. Micro-pulse polarization lidar at 1.5 μm using a single superconducting nanowire single-photon detector. Optics Letters, 42(21): 4454-4457
- 76.
Qiu Y J and Wang H A. 2017. The vertical distribution of cloud properties in two regions of northern China based on CloudSat/CALIPSO data. Transactions of Atmospheric Sciences, 40(4): 553-561
- 77.
Randall D, Khairoutdinov M, Arakawa A and Grabowski W. 2003. Breaking the cloud parameterization deadlock. Bulletin of the American Meteorological Society, 84(11): 1547-1564
- 78.
Sassen K and Wang Z E. 2008. Classifying clouds around the globe with the CloudSat radar: 1-year of results. Geophysical Research Letters, 35(4): L04805
- 79.
Sekiyama T T, Tanaka T Y, Shimizu A and Miyoshi T. 2010. Data assimilation of CALIPSO aerosol observations. Atmospheric Chemistry and Physics, 10(1): 39-49
- 80.
Shang J, Wu Q, Dou F L and An D W. 2018. Requirements index analysis and demonstration of spaceborne terahertz cloud measuring radar. Meteorological and Environmental Sciences, 41(1): 125-131
- 81.
Shang J, Yang H, Yin H G, Wu Q and Guo Y. 2012. First results from field campaign of spaceborne precipitation radar in China: radar performance analysis. Journal of Remote Sensing, 16(3): 435-447
- 82.
Shao J F, Hua D X, Wang L, Wang D and Pan R. 2020. Development of ultraviolet dual-wavelength lidar and analysis of its signal-to-noise ratio. Acta Optica Sinica, 40(12): 1201004
- 83.
Skofronick-Jackson G, Kirschbaum D, Petersen W, Huffman G, Kidd C, Stocker E and Kakar R. 2018. The global precipitation measurement (GPM) mission’s scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations. Quarterly Journal of the Royal Meteorological Society, 144(S1): 27-48
- 84.
Song C B and Zhao Y M. 2017. Development status and direction of spaceborne Lidar and radar for cloud and aerosol remote sensing. Journal of Telemetry, Tracking and Command, 38(6): 10-16
- 85.
Stephens G L. 2005. Cloud feedbacks in the climate system: a critical review. Journal of Climate, 18(2): 237-273
- 86.
Stephens G L, Vane D G, Boain R J, Mace G G, Sassen K, Wang Z E, Illingworth A J, O’connor E J, Rossow W B, Durden S L, Miller S D, Austin R T, Benedetti A, Mitrescu C and The CloudSat Science Team. 2002. The CloudSat mission and the A-Train. Bulletin of the American Meteorological Society, 83(12): 1771-1790
- 87.
Stephens G L, Vane D G, Tanelli S, Im E, Durden S, Rokey M, Reinke D, Partain P, Mace G G, Austin R, L’Ecuyer T, Haynes J, Lebsock M, Suzuki K, Waliser D, Wu D, Kay J, Gettelman A, Wang Z E and Marchand R. 2008. CloudSat mission: performance and early science after the first year of operation. Journal of Geophysical Research: Atmospheres, 113(D8): D00A18
- 88.
Stephens G, Winker D, Pelon J, Trepte C, Vane D, Yuhas C, L’Ecuyer T and Lebsock M. 2018. CloudSat and CALIPSO within the A-Train: Ten years of actively observing the Earth system. Bulletin of the American Meteorological Society, 99(3): 569-581
- 89.
Takahashi H, Suzuki K and Stephens G. 2017. Land-ocean differences in the warm-rain formation process in satellite and ground-based observations and model simulations. Quarterly Journal of the Royal Meteorological Society, 143(705): 1804-1815
- 90.
Tanelli S, Durden S L, Im E, Pak K S, Reinke D G, Partain P, Haynes J M and Marchand R T. 2008. CloudSat’s cloud profiling radar after two years in orbit: performance, calibration, and processing. IEEE Transactions on Geoscience and Remote Sensing, 46(11): 3560-3573
- 91.
Tang Y H, Zhou Y Q, Cai M and Ma Q R. 2020. Global distribution of clouds based on CloudSat and CALIPSO combined observations. Transactions of Atmospheric Sciences, 43(5): 917-931
- 92.
Tian X M, Liu D, Xu J W, Wang Z Z, Wang B X, Wu D C, Zhong Z Q, Xie C B and Wang Y J. 2018. Review of lidar technology for atmosphere monitoring. Journal of Atmospheric and Environmental Optics, 13(5): 321-341
- 93.
Tomiyama N, Tomita E, Furukawa K, Nakatsuka H, Seki Y, Aida Y, Okada K, Maruyama K, Ishii Y, Ohno Y, Horie H and Satoh K. 2020. EarthCARE/CPR development status and performance//Proceedings of the SPIE 11531, Remote Sensing of Clouds and the Atmosphere XXV. United Kingdom: SPIE: 115310K
- 94.
Varnai T and Marshak A. 2011. Global CALIPSO observations of aerosol changes near clouds. IEEE Geoscience and Remote Sensing Letters, 8(1): 19-23
- 95.
Vernier J P, Thomason L W and Kar J. 2011. CALIPSO detection of an Asian tropopause aerosol layer. Geophysical Research Letters, 38(7): L07804
- 96.
Wang F, Guo J P, Zhang J H, Huang J F, Min M, Chen T M, Liu H, Deng M J and Li X W. 2015. Multi-sensor quantification of aerosol-induced variability in warm clouds over eastern China. Atmospheric Environment, 113: 1-9
- 97.
Wang H, Luo Y L and Zhang R H. 2011. Analyzing seasonal variation of clouds over the Asian monsoon regions and the Tibetan Plateau region using CloudSat/CALIPSO data. Chinese Journal of Atmospheric Sciences, 35(6): 1117-1131
- 98.
Wang P and Wang H T. 2017. Discussion of spaceborne Terahertz active cloud profiling radar. Journal of Terahertz Science and Electronic Information Technology, 15(5): 733-739
- 99.
Wang S H, Han Z G, Yao Z G and Zhao Z L. 2011. An analysis of cloud types and macroscopic characteristics over China and its neighborhood based on the CloudSat data. Acta Meteorologica Sinica, 69(5): 883-899
- 100.
Wang T, Fetzer E J, Wong S, Kahn B H and Yue Q. 2016. Validation of MODIS cloud mask and multilayer flag using CloudSat-CALIPSO cloud profiles and a cross-reference of their cloud classifications. Journal of Geophysical Research: Atmospheres, 121(19): 11620-11635
- 101.
Weisz E, Li J, Menzel W P, Heidinger A K, Kahn B H and Liu C Y. 2007. Comparison of AIRS, MODIS, CloudSat and CALIPSO cloud top height retrievals. Geophysical Research Letters, 34(17): L17811
- 102.
Winker D M, Couch R H and McCormick M P. 1996. An overview of LITE: NASA’s Lidar in-space technology experiment. Proceedings of the IEEE, 84(2): 164-180
- 103.
Winker D M, Pelon J, Coakley Jr J A, Ackerman S A, Charlson R J, Colarco P R, Flamant P, Fu Q, Hoff R M, Kittaka C, Kubar T L, Le Treut H, Mccormick M P, Mégie G, Poole L, Powell K, Trepte C, Vaughan M A and Wielicki B A. 2010. The CALIPSO mission: a global 3D view of aerosols and clouds. Bulletin of the American Meteorological Society, 91(9): 1211-1230
- 104.
Winker D M, Vaughan M A, Omar A, Hu Y X, Powell K A, Liu Z Y, Hunt W H and Young S A. 2009. Overview of the CALIPSO mission and CALIOP data processing algorithms. Journal of Atmospheric and Oceanic Technology, 26(11): 2310-2323
- 105.
Wu J X, Dou F L, An D W, Gu Y, Zhou Q and Liu W. 2019. Sensitivity of dual wavelength reflectivity ratio of 94/220 GHz space-borne radar to cloud parameters with non-spherical ice crystals. Acta Meteorologica Sinica, 77(3): 529-540
- 106.
Wu Q, Yang M L, Dou F L, Guo Y and An D W. 2018. A study of cloud parameters retrieval algorithm for spaceborne millimeter wavelength cloud radar. Acta Meteorologica Sinica, 76(1): 160-168
- 107.
Xie Y Y, Liu J Q, Jiang J X and Chen W B. 2014. Wavelengths optimization to decrease error for a space-borne lidar measuring CO2 concentration. Infrared and laser engineering, 43(1): 88-93
- 108.
Xiong X, Angal A, Wu A, Barnes W and Salomonson V. 2016. Terra and Aqua MODIS instrument performance//2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing: IEEE: 7388-7391
- 109.
Xu J J, Bu L B, Liu J Q, Zhang Y, Zhu S Z, Wang Q, Zhu X P and Chen W B. 2020. Airborne high-spectral-resolution lidar for atmospheric aerosol detection. Chinese Journal of lasers, 47(7): 0710003
- 110.
Yan W, Ren J Q, Lu W and Wu X. 2011. Cloud phase discrimination technology based on spaceborne millimeter wave radar and lidar data. Journal of Infrared and Millimeter Waves, 30(1): 68-73
- 111.
Yan W, Yang H L and Zhou XW. 2008. A-train satellite formation and its application to cloud research. Remote Sensing Information, (2): 93-96
- 112.
Yang B Y, Wu X J and Guo Z. 2017. The characteristics of cloud properties in deep convective clouds across China with the CloudSat dataset. Plateau Meteorology, 36(6): 1655-1664
- 113.
Yu C R, Liu Z S, Bi D C, Li Z G and Liu B Y. 2013. Comparison of simulated performance of filters in space-borne wind lidar system. Chinese Journal of Quantum Electronics, 30(5): 615-620
- 114.
Yu H B, Chin M, Winker D M, Omar A H, Liu Z Y, Kittaka C and Diehl T. 2010. Global view of aerosol vertical distributions from CALIPSO lidar measurements and GOCART simulations: Regional and seasonal variations. Journal of Geophysical Research: Atmospheres, 115(D4): D00H30
- 115.
Yu L, Fu Y F, Yang Y J, Li R, Qiu X X and Cai H K. 2018. Assessment of longwave radiative effect of nighttime cirrus based on CloudSat and CALIPSO measurements and single-column radiative transfer simulations. Journal of Quantitative Spectroscopy and Radiative Transfer, 221: 87-97
- 116.
Zhai X C, Marksteiner U, Weiler F, Lemmerz C, Lux O, Witschas B and Reitebuch O. 2020. Rayleigh wind retrieval for the ALADIN airborne demonstrator of the Aeolus mission using simulated response calibration. Atmospheric Measurement Techniques, 13(2): 445-465
- 117.
Zhang D A, Liu D, Luo T, Wang Z E and Yin Y C. 2015. Aerosol impacts on cloud thermodynamic phase change over East Asia observed with CALIPSO and CloudSat measurements. Journal of Geophysical Research: Atmospheres, 120(4): 1490-1501
- 118.
Zhang D M, Wang Z E and Liu D. 2010. A global view of midlevel liquid-layer topped stratiform cloud distribution and phase partition from CALIPSO and CloudSat measurements. Journal of Geophysical Research: Atmospheres, 115(D4): D00H13
- 119.
Zhang H, Yang B Y, Peng J, Wang Z L and Jing X W. 2015. The characteristics of cloud microphysical properties in East Asia with the CloudSat dataset. Chinese Journal of Atmospheric Sciences, 39(2): 235-248
- 120.
Zhao Y F, Wang D H and Yin J F. 2014. A study on cloud microphysical characteristics over the Tibetan plateau using CloudSat data. Journal of Tropical Meteorology, 30(2): 239-248
- 121.
Zheng J Y, Liu D, Wang Z E, Tian X M, Wang Y J and Xie C B. 2018. Global distribution and seasonal variation of clouds observed from CloudSat/CALIPSO. Acta Meteorologica Sinica, 76(3): 420-433
- 122.
Zhong L Z, Liu L P and Ge R S. 2009. Characteristics about the millimeter-wavelength radar and its status and prospect in and abroad. Advances in Earth Science, 24(4): 383-391