|Hajime Okamoto||Last modified date：2020.07.01|
Professor / Atmospheric physics group / Division of Earth Environment Dynamics / Research Institute for Applied Mechanics
|1.||H. Okamoto, Global Wind Measurement System using Doppler Wind Lidar and Imaging FTS, International Workshop on Vegetation Lidar and Application from Space, 2020.02.|
|2.||Okamoto H., Sato K., Oikawa E., H. Ishimoto, Development of CPR-, CPR-ATLID-, CPR-ATLID-MSI synergy algorithms, 2019 年度 JAXA 地球観測ミッション合同 PI ワークショップ, 2020.01.|
|3.||Okamoto H., Sato K., Oikawa E., Nishizawa T., Jin Y., Sugimoto N, Ishii S., Aoki M, Kikuchi M, Kubota T., Iguchi T., Cloud and precipitation from active sensors, 27th IUGG General Assembly, 2019.07.|
|4.||＠Fujikawa M., Kudo R., Nishizawa T., Oikawa E., Higurashi A., Okamoto H., Long-Term Analyses Of Aerosol Optical Thickness Using CALIOP, The 29th International Laser Radar Conference (ILRC29), 2019.06.|
|5.||H. Okamoto, From CloudSat/CALIPSO to EarthCARE, Institute of Atmospheric Sciences and Climate, CNR (National Research Council) seminar, 2019.04.|
|6.||Okamoto H., Suzuki K., Satoh M., Nishizawa T., Nakajima T. Y., Sato K., Oikawa E., Ishimoto H., Kikuchi
M., Kubota T., Oki R., Iguchi T., Ohno Y., Horie H., Ishii S, EarthCARE products and challenges for climate
change studies, 39th international conference on radar meteorology, 2019.09.
|7.||H. Okamoto, Japanese science status for 32nd JMAG for EarthCARE, 32nd JMAG/EarthCARE, 2019.11.|
|8.||H. Okamoto and K. Sato, Studies of clouds: from ground-based and to space borne active sensors, Lecture in Zhejiang University, 2019.09.|
|9.||H. Okamoto, Japanese Science Status for the 31st JMAG, EarthCARE, EarthCARE 31st JMAG, 2019.05.|
|10.||Okamoto H., Sato K., Oikawa E., Ishii S., Aoki M., Nishizawa T., Jin Y., Sugimoto N., Fujikawa M., Synergetic-ground-based lidar-systems for evaluation of information content of Aeolus and EarthCARE, Aeolus CAL/VAL and Science Workshop, 2019.03.|
|11.||Okamoto H., Sato K., Oikawa E., Katagiri S., Ishimoto H., Development of CPR-, CPR-ATLID-, CPR-ATLID-MSI synergy algorithms, JAXA EarthCARE-PI workshop, 2019.01.|
|12.||Okamoto H., Japanese science status for 30th JMAG, 30th JMAG EarthCARE, 2018.11.|
|13.||Okamoto H., Sato K., Next-generation-synergetic system for cloud microphysics from spaceborne lidar, RAD-lidar conference 2018, 2018.11.|
|14.||Okamoto H., EarthCARE Science Status (2), 7th international Earthcare science workshop, 2018.06.|
|15.||Okamoto H. Sato K., Ishimoto H., Katagiri S., Analysis of cloud and precipitation microphysics: From A-train to EarthCARE, 2018.05.|
|16.||Okamoto H. Sato K., Katagiri S., Cloud microphysics from CloudSat/CALIPSO to EarthCARE, EGU, 2018.04.|
|17.||Okamoto, H., Sato K., Katagiri S., H. Ishimoto, Observing clouds, precipitation and air motion, JAXA Earth observation Satellite Joint PI Workshop, 2018.01.|
|18.||Okamoto, H., Sato K., Sugimoto N., Ishii S., Nishizawa T., Aoki M., Ohio Y., Horie H., Ground-based radar and lidar measurements for evaluation of EarthCARE products, EarthCARE 28th JMAG, 2017.12.|
|19.||Katagiri S., Sato K., Okamoto H., Fujikawa M., Refinement of cloud mask and cloud particle type algorithms for synergistic use of space-borne lidar and cloud radar data, Asian conference on meteorology 2017, 2017.10.|
|20.||*Kitahara T., Okamoto H., Sato K., Katagiri S., Relationship of backscatter color ratio, lidar ratio and depolarization ratio of ice, water and aerosols and the wavelength- dependence, Asian conference on meteorology 2017, 2017.10.|
|21.||Sakai,Y., Okamoto H., Sato K., Katagiri S., Cloud and precipitation properties by radar reflectivity factor and path integral attenuation from CloudSat and CALIPSO, Asian conference on meteorology 2017, 2017.10.|
|22.||Kitagata H., Okamoto H., Sato K., Katagiri S., Ishimoto, H., MODIS- CALIPSO-CloudSat synergy for the analysis of ice cloud microphysics, Asian conference on metrology 2017(, 2017.10.|
|23.||Okamoto H., Sato K., Katagiri S., Ishimoto, H., Borovoi A., Development of a suite of EarthCARE algorithms for cloud studies: Beyond CloudSat and CALIPSO, Asian conference on metrology 2017, 2017.10.|
|24.||Okamoto H., Sato K., Katagiri S., Cloud-feedbacks from CloudSat/CALIPSO to EarthCARE, 2017 CFMIP Meeting on Clouds, Precipitation, Circulation, 2017.09.|
|25.||Sato K., Okamoto H. Katagiri, S., The EarthCare mission: Understanding the global Cloud-Radiation distributions, GS10 Satellite Conference, 2017.05.|
|26.||Katagiri S., Sato K., Ohta K., Okamoto H., REFINEMENT OF THE CALIOP CLOUD MASK ALGORITHM, 28th International Laser-Radar Conference, 2017.06.|
|27.||Sato K., Okamoto H., Katagiri S., Shiobara M., Yabuki M., Takano, T., Active sensor synergy for Arctic cloud microphysics, 28th International Laser-Radar Conference, 2017.06.|
|28.||Okamoto H., Japanese Science Status for 27th JMAG, EarthCARE 27th JMAG, 2017.06.|
|29.||Okamoto H., Sato K., Katagiri S., From CloudSat-CALIPSO to EarthCARE and new ground-based instruments, Clouds, their Properties, and their Climate Feedbacks, 2017.06.|
|30.||Okamoto H. Sato K., Katagiri S., Development of CloudSat/CALIPSO- and EarthCARE-algorithms for the studies of cloud macroscale- and microphysical properties, JpGU-AGU Joint Meeting 2017, 2017.05.|
|31.||Okamoto, H., K. Sato, S. Katagiri, Development of L2 algorithms for CPR/CPR-ATLID/CPR-ATLID-MSI., JAXA EarthCARE PI workshop, 2017.01.|
|32.||Sato, K., H. Okamoto, T. Taano, M. Shiobara, H. Yabuki, Water cloud retrievals from satellite measurement, Japan-German workshop on Arctic science, 2016.11.|
|33.||Okamoto, H. and K. Suzuki, EarthCARE mission: what to be learned and what the remaining gaps will be, Atmos Radar Symposium, 2016.10.|
|34.||Okamoto, Hajime, EarthCARE mission : move the global models to next levels, 7th JAPAN-EU workshop (第7回日EU気候変動研究ワークショップ）, 2016.04.|
|35.||Kikuchi, Maki, Okamoto, Hajime, Sato Kaori, Hagihara, Yuichiro, Improvement of Hydrometeor Particle Type Discrimination derived from CloudSat and CALIPSO
, IRS 2016, 2016.04.
|36.||Hagihara, Yuichiro, Okamoto, Hajime, SYNERGISTIC USE OF SPACE-BORNE CLOUD RADAR, LIDAR, and IMAGER FOR RETRIEVAL OF CLOUD MICROPHYSICAL PROPERTIES, IRS 2016, 2016.04.|
|37.||Sato Kaori, Okamoto, Hajime, INFORMATION CONTENT OF CLOUD PHYSICAL PROPERTIES DERIVED FROM SATELLITE ACTIVE REMOTE SENSORS, IRS 2016, 2016.04.|
|38.||Okamoto, Hajime, Sato Kaori, Takano, Toshiaki, Nishizawa,Tomoaki, Sugimoto, Nobuo, Jin, Yoshitaka, Development of multiple scattering polarization lidar to observe depolarization ratio of optically thick low- level clouds
, IRS2016, 2016.04.
|39.||Okamoto, Hajime, Sato Kaori, Hagihara, YuichiroYuichiro, Ishimoto, Hiroshi, Relationship between ice supersaturation and ice microphysics inferred from CloudSat, CALIPSO and AIRS
, IRS 2016, 2016.04.
|40.||Okamoto, Hajime, EarthCARE related activities about cloud retrievals, GEWEX UTCC PROES meeting, 2016.04.|
|41.||Okamoto, Hajime, Sato Kaori, Hagihara, Yuichiro, Development of L2 algorithms for CPR/CPR-ATLID/CPR-ATLID-MSI., EarthCARE PI workshop, 2016.01.|
|42.||Sato Kaori, Okamoto, Hajime, Space-borne active sensor cloud retrievals and evaluation by ground-based MFMSPL measurements, AGU fall meeting, 2015.12.|
|43.||Okamoto, Hajime, Sato Kaori, Ishimoto, H., Hagihara, Y., Global analysis of generation mechanism of ice microphysics inferred from space-borne active sensors and infrared sounder, AGU fall meeting , 2015.12.|
|44.||Okamoto, Hajime, Japan Science Status, EarthCARE 24th JMAG, 2015.11.|
|45.||Sato Kaori, Okamoto, Hajime, Ishimoto, H., Modeling lidar multiple scattering, 27th International Laser Radar Conference, 2015.07.|
|46.||Okamoto, Hajime, Sato Kaori, Hagihara, Y., Ishimoto, H., Borovoi, A., Konoshonkin, A., Kusutoba, N., Evaluation of retrieval algorithms for ice microphysics using CALIPSO/CloudSat and EarthCARE, 27th International Laser Radar Conference, 2015.07.|
|47.||Okamoto, Hajime, Sato Kaori, Makino, T., Nishizawa, T., Jin, Y., Sugimoto, N., Shimizu, A., Depolarization ratio of clouds measured by multiple-field of view multiple scattering polarization lidar, 27th International Laser Radar Conference, 2015.07.|
|48.||Sato Kaori, Okamoto, Hajime, Ishimoto, Hiroshi, Satellite remote sensing of vertically resolved cloud microphysics and water vapor, 26th IUGG General AssemblyIUGG General Aeembly, 2015.06.|
|49.||Okamoto, Hajime, Sato Kaori, Ishimoto, Hiroshi, Tanaka, Kenta, Global analysis of ice microphysics and ice super-saturation from CloudSat, CALIPSO and AIRS, 26th IUGG General Assembly, 2015.06.|
|50.||Okamoto, Hajime, Japanese Science Status, EarthCARE 23th JMAG, 2015.04.|
|51.||Okamoto, Hajime, Development of level 2 algorithms for CPR, CPR-ATLID and CPR-ATLID-MSI, Joint PI meeting of Global Environment Observation Mission 2014, 2015.01.|
|52.||Tanaka, Kenta, Okamoto, Hajime, Sato, Kaori, Ishimoto, Hiroshi, Relationship between ice cloud microphysics and supersaturation from spaceborne cloud radar, lidar and infrared sounder, AGU Fall Meeting, 2014.12.|
|53.||Makino, Toshiyuki, Okamoto, Hajime, Sato, K., Tanaka, Kenta, Nishizawa, Tomoaki, Sugimoto, Nobuo, Matsui, Ichiro, Jin, Yoshitaka, Uchiyama, Akihiro, Kudo, Rei, Development of Multi-Field of view-Multiple-Scattering-Polarization Lidar : analysis of angular resolved backscattered signals, AGU Fall Meeting, 2014.12.|
|54.||Sato, K., Okamoto, Hajime, Ishimoto, Hiroshi, Assessing global microphysics of warm cloud and light precipitation from active sensors, AGU Fall Meeting, 2014.12.|
|55.||Okamoto, Hajime, Sato, K., Hagihara, Yuichiro, Tanaka, Kenta, Ishimoto, Hiroshi, Makino, Toshiyuki, Nishizawa, Tomoaki, Sugimoto, Nobuo, Evaluation of ice cloud retrievals using CloudSat/CALIPSO/MODIS/AIRS and EarthCARE, AGU Fall Meeting, 2014.12.|
|56.||Sato, K., Okamoto, Hajime, Retrieval performance of arctic cloud microphysics from Space-borne active sensors, GRENE-AWI workshop on Atmospheric Research 2014, 2014.10.|
|57.||Okamoto, Hajime, Satellite remote sensing of cloud properties and generation mechanism, GRENE-AWI workshop on Atmospheric Research 2014, 2014.10.|
|58.||Okamoto, Hajime, Global analysis of cloud microphysics by space-borne active sensors from A-Train to EarthCARE, Tohoku-DLR Workshop, 2014.10.|
|59.||Hirakata, Maki, Okamoto, Hajime, Hagihara, Yuichiro, Oki, Riko, Development of Hydrometeor Particle Type Classification derived from Space-borne Radar and Lidar, EarthCARE workshop 2014, 2014.09.|
|60.||Yamamoto, Masayuki, Gan, T., Okamoto, Hajime, Hashiguchi, H., Yamamoto, M., Validation of EarthCARE product using vertical wind measurement by wind profiler radars , EarthCARE workshop 2014, 2014.09.|
|61.||Iwasaki, Suginori, Shibata, H., Kubota, H., Okamoto, Hajime, Ishimoto, Hiroshi, Characteristics of anvil cloud in the lower stratosphere, EarthCARE workshop 2014, 2014.09.|
|62.||Nishizawa, Tomoaki, Higurashi, Akiko, Sugimoto, Nobuo, Kudo, Rei, Oikawa, Eiji, Okamoto, Hajime, Aerosol and cloud retrieval algorithms from ATLID and MSI measurements, EarthCARE workshop 2014, 2014.09.|
|63.||Sato, K., Okamoto, Hajime, EarthCARE L2 algorithm development for cloud microphysics, EarthCARE workshop, 2014.09.|
|64.||Hagihara, Yuichiro, Okamoto, Hajime, Luo, Jonny, New Insights into cloud top microphysics from joint CloudSat and CALIPSO measurements , AOGS, 2014.07.|
|65.||Hirakata, Maki, Okamoto, Hajime, Hagihara, Yuichiro, Hayasaka, Tadahiro, Development of EarthCARE /CPR Hydrometeor Particle Type Algorithm, Asia Oceanic Geosciences Society (AGOS) 11th Annual Meeting 2014, 2014.07.|
|66.||Sato, K., Okamoto Hajime, Ishimoto, H., Updated treatment for warm cloud microphysics : Its foundation and application, Asia Oceania Geoscience Society (AOGS) 11th Annual Meeting 2014 , 2014.07.|
|67.||Hiroshi Ishimoto, Okamoto kozo, Okamoto Hajime, Sato, K., Humidity around ice clouds in middle to upper tropospheric retrieved by using AIRS radiance data, Asia Oceania Geoscience Society (AOGS) 11th Annual Meeting 2014 , 2014.07.|
|68.||Okamoto Hajime, EarthCARE science towards understanding nature of clouds, aerosols, radiation and cloud motion, EarthCARE Workshop 2014, 2014.09, すでに軌道上にあるCloudSat衛星、CALIPSO衛星等のA-train衛星群によって解析された結果と、現状の課題、EarthCARE衛星で期待されるプロダクト、そこから期待される新しいサイエンスに関するサマリーを行った。.|
|69.||岡本 創, 佐藤 可織, 田中健太, 牧野利行, 石元裕史, Analysis of Cloud Microphysics by Using CloudSat, CALIPSO and AIRS, Asia Oceania Geosciences Society (AOGS) 11th Annual Meeting 2014, 2014.08, 衛星CloudSat,CALIPSO, AQUAに搭載されたレーダ、ライダ、そして赤外サウンダを複合利用することで、氷粒子の氷水量と、水蒸気の比較の全球解析を実施した。その結果、これらの関係には緯度帯によらずユニバーサルな関係が存在することがわかった。.|
|70.||岡本 創, 佐藤 可織, 萩原 雄一朗, 石元 裕史, Anatoli Borovoi, Development of EarthACARE CPR, ATLID and MSI algorithms for cloud microphysics retrievals , Asia Oceania Geosciences Society (AOGS) 11th Annual Meeting 2014, 2014.07.|
|71.||Okamoto Hajime, JAXA science status 2013-2014, EarthCARE JMAG meeting, 2014.01.|
|72.||岡本 創, 佐藤 可織, 萩原 雄一朗, Development of level 2 algorithms for CPR, CPR-ATLID, and CPR-ATLID-MSI, Joint PI workshop of environment observation mission 2014, 2014.01.|
|73.||Okamoto Hajime, EarthCARE mission : Development of algorithms, The 3rd International Symposium of Atmospheric Light Scattering and Remote Sensing (ISALSaRS'13), 2013.07, JAXA and ESA joint mission, EarthCARE, will carry the four instruments in the same plat form. Among them, there are two next generation active instruments; 95GHz-Doppler radar (CPR) and 355 nm-high spectral resolution lidar (ATLID) and there are also multispectral imager with seven channels (MSI) and broad band radiometer (BBR). The EarthCARE is expected to start observations in late 2015.
The EarthCARE CPR and ATLID might be regarded as extended version of CloudSat 95GHz radar and CALIPSO lidar, respectively. The CPR has higher sensitivity than CloudSat radar and also has the first Doppler capability in space. The ATLID can provide robust profile of backscattering coefficient by the high spectral resolution mechanism. Due to these new features, more complete picture of clouds and aerosols will be obtained.
The CloudSat and CALIPSO have provided the vertical profiles of clouds and aerosols for more than six years. In order to retrieve detail information of cloud and aerosol microphysics, we have developed series of algorithms, e.g., cloud detection, cloud particle type classification, cloud microphysics, aerosol detection, aerosol types and aerosol extinctions algorithms (Hagihara et al., 2010, Yoshida et all.,2010, Okamoto et al, 2010, Sato and Okamoto 2011. The retrieved products from CloudSat and CALIPSO data have been distributed to many institutes and universities for the validation of the GCM and regional models.
The EarthCARE algorithms are developed using the heritage of the algorithms for the CloudSat and CALIPSO. We first review these algorithms and also demonstrated the retrieved cloud and aerosol products from CloudSat and CALIPSO. Some current limitations in the analyses are also discussed. Then we will show the improved algorithms for the EarthCARE and introduce plans of the new cloud and aerosol products.
Finally we describe new ground-based radar and lidar experiments towards the better understanding of the observed signals obtained from the spaceborne active sensors.
|74.||Okamoto Hajime, JAXA science status 2013, EarthCARE Joint Mission Advisory Group meeting, 2013.07.|
|75.||Okamoto Hajime, Sato Kaori, Hagihara Yuichiro, CPR-ATLID/CPR-ATLID-MSI products and algorithms, EarthCARE Joint Algorithm Development Endeavor meeting, 2013.07.|
|76.||Okamoto Hajime, Sato Kaori, Hagihara Yuichiro, CPR-only level2a product for EarthCARE, EarthCARE Joint Algorithm Development Endeavor meeting, 2013.07.|
|77.||Okamoto Hajime, Sato Kaori, Hagihara Yuichiro, Ishimoto Hiroshi, Ice particle type and microphysics in high latitudes by spaceborne active sensors : regional characteristic and annual variability , Davos-Atmosphere and Cryosphere Assembly, 2013(DACA-13) , 2013.07, [URL], We examined ice particle types and microphysics in high latitudes by using space-borne active sensors between 2006 and 2012. We developed series of algorithms to retrieve cloud properties by using 95GHz cloud radar on CloudSat and dual-wavelength polarization lidar on CALIPSO. By combining these information, the cloud particle types were classified as three-dimensional ice particles (3D-ice), horizontally oriented ice plates (2D-plate), water and solid and liquid precipitation. The fraction of 2D-plates was larger in high latitude regions than in other regions. Ice microphysics was also studied by combined use of radar reflectivity factor from CloudSat, and lidar backscattering coefficient and depolarization ration from CALIPSO. The vertical and latitudinal distribution of ice particle types and microphysics and their annual variability were also examined. The maximum altitude of clouds is about 10km in high latitudes and that for super cooled water is about 5km. IWC decreased as altitude decreased and zonal mean of the maximum IWC and effective radius were 0.05 g/m^3 and 150µm, respectively. The large particles >100µm were found below 5km in high latitude (>70 degrees north). Land-ocean differences were also noticeable. The IWC was smaller over ocean than over land and ice effective radius was larger over ocean. These properties were further analyzed in relation to temperature and water vapor amount as well as super saturation using ECMWF and AIRS data in order to reveal the formation mechanism of ice particles and its variability. .|
|78.||Okamoto Hajime, Sato Kaori, Hagihara Yuichiro, CPR/CPR-ATLID/CPR-ATLID-MSI products and algorithms, EarthCARE science meeting, 2013.06.|
|79.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Development of level 2 algorithms for CPR/CPR-ATLID/CPR-ATLID-MSI, EarthCARE PI workshop, 2013.01.|
|80.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Multi-year analysis of ice microphysics derived from CloudSat and CALIPSO, American Geophysical Union fall meeting 2012, 2012.12, We conducted multi-year analyses of ice microphysics using CloudSat and CALIPSO data. Inter-annual variability, land-ocean differences and seasonal changes of ice microphysical properties were reported for the observation periods from 2006 to 2009. CALIPSO changed the laser tilt angle from 0.3 degrees to 3 degrees off nadir direction on November 2007 and the zonal mean properties of backscattering coefficient and depolarization ratio were significantly decreased and increased, respectively, for low altitude after November 2007. This could be explained by the different backscattering behavior of horizontally oriented ice crystals for the different laser tilt angles.
On the other hand, inter-annual variability of zonal mean properties of reflectivity factor observed by CloudSat showed the very similar characteristics during the four years. In addition, the lidar observables were similar when the monthly mean properties were compared for different years before November 2007 and also the same was true for the comparisons after November 2007. These analyses of observables suggested that the inter-annual variability of zonal mean properties of ice microphysics could be considered to be similar. Application of the radar-lidar algorithm showed that the change of the laser tilt angle introduced the large gap between the ice microphysical properties before and after November 2007, if the proper treatment of the oriented ice crystals were not conducted in the retrievals. Global analysis of cloud particle types showed that the frequent occurrence of oriented ice crystals were identified in the temperature range between -10 to -20 degrees C. It is also noted that the significant overestimation of ice water content and significant underestimation of ice effective radius were found if the scattering properties of the horizontally oriented ice particles were not considered. Therefore it is highly demanded that the realistic ice orientation model is implemented in the look up tables used in the retrieval algorithm for CloudSat and CALIPSO.
We have tested several orientation models with various parameters such as Gauss distribution model (Sassen 1980) and Klett type distribution function (Klett 1985) to estimate the look up tables for the laser tilt angles of 0.3 and 3 degrees off nadir. And the best orientation model can be determined by minimizing the inter-annual variability of ice microphysics. The best model showed the inter-annual variability of ice microphysics are about 30% for the retrieved IWC and effective radius and about 60% for mass fraction of oriented ice particles in low altitude regions. And ice microphysics over land tended to be larger than the values over ocean and the differences between over land and ocean were much larger than the uncertainties that attributed to the ice particle orientation. The inter-relationship between IWC and effective radius turned out to be very consistent for different years and also for over land and ocean. The frequency distribution of IWC (and effective radius) was different over land and ocean.
|81.||Sato Kaori, Okamoto Hajime, Detectability of ice and precipitation from active sensors at optically thick region, AGU fall meeting, 2012.12.|
|82.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Synergy level 2b products Japan, EarthCARE JADE meeting, 2012.11.|
|83.||Okamoto Hajime, Teruyuki Nakajima, JAXA science status, EarthCARE Joint Mission Advisory Group meeting , 2012.11.|
|84.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Hirakata Maki, CPR level 2a products Japan, EarthCARE JADE meeting, 2012.11.|
|85.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Tomoaki Nishizawa, Development of Level 2 Algorithms for EarthCARE CPR/ATLID, International Radiation Symposium 2012, 2012.08, [URL], We develop algorithms that can be applied to EarthCARE Cloud Profiling Radar (CPR) and Atmospheric backscatter LIdar (ATLID) and discuss about the expected products. EarthCARE will carry CPR and ATLID and these combination corresponds to the CloudSat and CALIPSO for the A-train. Due to the similarities between the EarthCARE and the A-train, it will be possible to apply the similar types of algorithms that have been already developed and extensively used for the analyses of the A-train satellites and it is therefore expected to obtain the similar cloud products for the EarthCARE. On the other hand, there are some differences between the EarthCARE and A-train satellites, e.g., the EarthCRAE CPR has better sensitivity compared with the CloudSat. And Doppler capability of the EarthCARE-CPR is a new element and is expected to provide the better constraint for the retrievals of cloud/precipitation microphysics. And the vertical air motion and sedimentation velocity of cloud particles will be inferred. .|
|86.||Okamoto Hajime, Active remote sensing of cloud microphysics, International Radiation Symposium (IRS), 2012.08, [URL], We discuss about recent progresses in analyses of retrieved cloud properties by active sensors. We have developed several types of algorithms that can be applied to data obtained by cloud profiling radar (CPR) and lidar to retrieve cloud macroscale and microphysical properties. The retrieved properties include cloud occurrence, cloud particle phase, orientation and microphysics. Combined use of CPR and lidar has been recognized to be a powerful tool for the retrieval of cloud microphysics. Single scattering property of ice particles is one of the key elements in the analyses. It has been necessary to develop appropriate scattering theories and inversion methods that can take into account the particle shape and its orientation for the analyses of CPR and lidar data. We have been analyzing the data obtained by the ground based, ship-borne and space-borne active sensors. Space borne active sensors CloudSat and CALIPSO successfully started global observations of cloud and aerosols in June 2006. The theoretical basis of the analysis of these active sensors is given. And global analysis of cloud macro-scale and microphysical properties has been performed. After these space missions, JAXA and ESA are planning a new space mission, EarthCARE and it will carry four sensors including 95 GHz Doppler radar and high spectral resolution lidar. It will be launched in 2015 and is expected to provide information of cloud microphysics and also vertical motion. The retrieval algorithms for EarthCARE have been developed by using the existing radar and lidar data including CloudSat and CALIPSO..|
|87.||Sato Kaori, Okamoto Hajime, Detection and analyses of hydrometeor properties from EarthCARE data, International Radiation Symposium, 2012.08.|
|88.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Takuya Matsumoto, Anatoli Borovoi, Retrieved ice microphysics from CALIPSO and CloudSat and horizontally oriented ice plates , 26th International laser radar conference (ILRC), 2012.06, We improved the radar and lidar algorithm that can be applied to CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data to retrieve ice microphysics. The essential modification is the implementation of distribution of tilt angles of ice plates respect to the horizontal plane. We introduced the Gauss-type and Klett-type distribution functions in the improved version of the algorithm. The backscattering signatures in radar and lidar wavelengths were calculated for the same particle type and orientation by using the discrete dipole approximation and physical optics, respectively.
Introducing the distribution of orientations lead to the large reduction of lidar backscattering coefficient compared with that for perfectly oriented ice plates with same effective radius and mass but larger than that for spheres for the CALIPSO tilt angle of 0.3o.
The effective radius and ice water content were similar between the improved and old algorithms. Mass fraction of oriented crystals to the total IWC became much larger in the improved algorithms when the specular reflection was observed.
|89.||Sato Kaori, Okamoto Hajime, NUMERICAL AND THEORETICAL ANALYSIS OF HYDROMETEOR PROPERTIES OBSERVED BY SPACEBORNE LIDAR AND RADAR, 26th International Laser Radar Conference, 2012.06.|
|90.||Okamoto Hajime, Sato Kaori, 萩原 雄一朗, Global Analyses of cloud Properties from CloudSat and CALIPSO and Development of the Level 2 Algorithms for EarthCARE, CloudSat-CALIPSO-EarthCARE joint workshop, 2012.06.|
|91.||Sato Kaori, Okamoto Hajime, EarthCARE level 2 algorithms for CPR, ATLID; Development and Issues, CloudSat-CALIPSO-EarthCARE joint workshop, 2012.06.|