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A Global Determination of Cloud Microphysics with AVHRR Remote Sensing

Kazuaki Kawamoto, Teruyuki Nakajima, Takashi Y. Nakajima
2001 Journal of Climate  
In the algorithm, the treatment of thermal radiation in Nakajima and Nakajima is improved by reformulating the thermal emission in the atmospheric layers.  ...  Squires 1958; Prospero et al. 1983; Han et al. 1994; Nakajima and Nakajima 1995) .  ...  This algorithm uses cloud-reflected solar radiances for both visible and near-infrared wavelengths based on Nakajima and Nakajima (1995) .  ... 
doi:10.1175/1520-0442(2001)014<2054:agdocm>2.0.co;2 fatcat:qeug4vu52bh53coi6ckllsd6pa

Effect of the droplet activation process on microphysical properties of warm clouds

Kentaroh Suzuki, Teruyuki Nakajima, Takashi Y Nakajima, Graeme L Stephens
2010 Environmental Research Letters  
and Nakajima 1995 , Kawamoto et al 2001 .  ...  Nakajima and Nakajima (1995) with theoretical relationships given by the adiabatic model superimposed. The contours are for 10, 30, 50, 70 and 90% μm −1 .  ... 
doi:10.1088/1748-9326/5/2/024012 fatcat:kkmpdbutg5d4zotpfkp3brnmvm

Evaluation of Himawari-8 surface downwelling solar radiation by SKYNET observations

Alessandro Damiani, Hitoshi Irie, Takashi Horio, Tamio Takamura, Pradeep Khatri, Hideki Takenaka, Takashi Nagao, Takashi Y. Nakajima, Raul R. Cordero
2018 Atmospheric Measurement Techniques Discussions  
Opt., 27, 2502 -2509 , 1988 Takenaka, H., Nakajima, T. Y., Higurashi, A., Higuchi, A., Takamura, T., Pinker, R.  ...  The core retrieval program was SKYRAD.pack (e.g., Nakajima et al., 1996) .  ... 
doi:10.5194/amt-2017-440 fatcat:tdsq43renrbu3g3vwwjsfd5v7u

Global cloud-system-resolving simulation of aerosol effect on warm clouds

Kentaroh Suzuki, Teruyuki Nakajima, Masaki Satoh, Hirofumi Tomita, Toshihiko Takemura, Takashi Y. Nakajima, Graeme L. Stephens
2008 Geophysical Research Letters  
., , 2008 and for CDR retrieved with the algorithm of Nakajima and Nakajima [1995] and Kawamoto et al. [2001] .  ...  The difference in CDR between 2.2 mm and 3.7 mm can reflect the in-cloud vertical inhomogeneity [Nakajima and Nakajima, 1995] .  ... 
doi:10.1029/2008gl035449 fatcat:ttfekgs5xvdbvc6dyyi74kk34i

Evaluation of Himawari-8 surface downwelling solar radiation by ground-based measurements

Alessandro Damiani, Hitoshi Irie, Takashi Horio, Tamio Takamura, Pradeep Khatri, Hideaki Takenaka, Takashi Nagao, Takashi Y. Nakajima, Raul R. Cordero
2018 Atmospheric Measurement Techniques  
aerosols (Hashimoto and Nakajima, 2017) .  ...  We also checked the relation between COD and REs by exploiting Himawari-8 COD data (Nakajima and Nakajima, 1995) for Chiba station.  ... 
doi:10.5194/amt-11-2501-2018 fatcat:6pacpbmrwzdxfp7uyzw7iapk54

Cloud optical thickness and effective particle radius derived from transmitted solar radiation measurements: Comparison with cloud radar observations

Nobuhiro Kikuchi, Teruyuki Nakajima, Hiroshi Kumagai, Hiroshi Kuroiwa, Akihide Kamei, Ryosuke Nakamura, Takashi Y. Nakajima
2006 Journal of Geophysical Research  
and King, 1990; Nakajima and Nakajima, 1995] . [3] The cloud optical thickness and effective radius may also be inferred from ground-based measurements of the transmitted solar radiation by a multispectral  ...  [23] Our method for determining t c and r e from transmitted solar radiation measurements have several similarities with the solar reflection method described by Nakajima and King [1990] .  ... 
doi:10.1029/2005jd006363 fatcat:oaf7cfzyhjhtth7ojdnxyrqjpu

Composition dependence of energy storage properties of antiferroelectric (Pb,Y)(Sn,Zr)O3 thin film capacitors

Shigeki Fukuda, Yoichiro Hashizume, Takashi Nakajima, Soichiro Okamura
2018 Japanese Journal of Applied Physics  
The antiferroelectric properties and energy storage performance of (Pb 0.02 ,Y 0.98 )(Sn x ,Zr 1%x )O 3 (0 : x : 0.6) thin films fabricated by chemical solution deposition (CSD) were investigated.  ...  The Sn-substituted (Pb,Y)(Sn x ,Zr)O 3 thin films showed a well-defined antiferroelectric property and the 20 at. % Sn-substituted thin film exhibited great energy performance in this study.  ...  phase by substituting Y with a smaller ionic radius.  ... 
doi:10.7567/jjap.57.11uf08 fatcat:ibyniihkn5faxp5mfkyuxnzsqi

Characterization of surface solar-irradiance variability using cloud properties based on satellite observations

Takeshi Watanabe, Yu Oishi, Takashi Y. Nakajima
2016 Solar Energy  
The variation in surface solar irradiance (SSI) on short timescales has been investigated previously in relation to ground-based observations. Such results are limited to the locality of the observation stations, leading to insufficient knowledge about the spatial distribution of variation features. We propose a method for characterizing variations in SSI using cloud properties obtained from satellite observations. Datasets of cloud properties from satellite observation and SSI from
more » ... observation are combined at simultaneous observation points to investigate their relations. The SSI variations are classified statistically into six categories. The cloud properties related to the categorized variation features are then analyzed. From such relations, a statistical discriminant method is used to design a classifier to assign a category to the SSI variation over an area from the cloud properties obtained by satellite observation. The accuracy of classification and feature selection is discussed.
doi:10.1016/j.solener.2016.10.049 fatcat:pjrr3kvsabasfmwgzdvltnh7ee

Atmospheric Environment Observed by GLI Aboard ADEOS-II
ADEOS‐II衛星搭載GLIセンサは大気の何を見てきたか

Takashi Y. NAKAJIMA, Teruyuki NAKAJIMA, Akiko HIGURASHI, Nobuyuki KIKUCHI, Makoto KUJI
2006 Journal of The Remote Sensing Society of Japan  
Global Imager (GLI) is the moderate spatial resolution imager which has 36 channels from near UV to infrared. It observed cloud and aerosol properties for global scale. One of the features of the GLI is that it has 380 nm channel in near UV region. Using this channel in RGB composite image, the aerosols spread over the land area clearly identified. The global distributions and properties of aerosols and clouds were retrieved as the standard analyses of the GLI atmospheric project. These results
more » ... will be used for validating climate modes, that predict future climate on the Earth.
doi:10.11440/rssj1981.26.33 fatcat:c2carfps2bgvzirmx4hw56ofha

Correlation Pattern between Effective Radius and Optical Thickness of Water Clouds Simulated by a Spectral Bin Microphysics Cloud Model

Kentaroh Suzuki, Teruyuki Nakajima, Takashi Y. Nakajima, Alexander Khain
2006 SOLA : Scientific Online Letters on the Atmosphere  
This feature is also consistent with previous remote sensing studies by Nakajima et al. (1991) and Nakajima and Nakajima (1995) .  ...  and King 1990; Nakajima et al. 1991; Asano et al. 1995; Brenguier et al. 2000) and satellite image analysis (Han et al. 1994; Nakajima and Nakajima 1995; Kawamoto et al. 2001 ).  ... 
doi:10.2151/sola.2006-030 fatcat:ihslkuengvgcpcqwtmfvzybpky

Cirrus Cloud Radiative Forcing Derived from Synergetic Use of MODIS Analyses and Ground-Based Observations

Shuichiro Katagiri, Nobuyuki Kikuchi, Takashi Y. Nakajima, Akiko Higurashi, Atsushi Shimizu, Ichiro Matsui, Tadahiro Hayasaka, Nobuo Sugimoto, Tamio Takamura, Teruyuki Nakajima
2010 SOLA : Scientific Online Letters on the Atmosphere  
COT and RE were derived from a solar reflective method for water clouds, named the Comprehensive Analysis Program for Cloud Optical Measurements (CAPCOM) (Nakajima and Nakajima 1995; Kawamoto et al. 2001  ...  The aerosol parameters, AOT and ANG, were retrieved with the two-channel aerosol retrieval algorithm (Higurashi and Nakajima 1999; Higurashi et al. 2000) .  ... 
doi:10.2151/sola.2010-007 fatcat:3gedyerqjfbgnor5m4ghjw74vm

Remotely Sensed Microphysical and Thermodynamic Properties of Nonuniform Water Cloud Fields

Harshvardhan, Guang Guo, Robert N. Green, Zheng Qu, Takashi Y. Nakajima
2004 Journal of the Atmospheric Sciences  
and Nakajima 1995) .  ...  The LUTs used here were generated assuming a lognormal size distribution and vertically uniform cloud properties (Nakajima and Nakajima 1995) .  ... 
doi:10.1175/jas3301.1 fatcat:3ktsbkdoabfsjpvnb2fr6bkxwe

Comparisons of Warm Cloud Properties Obtained from Satellite, Ground, and Aircraft Measurements during APEX Intensive Observation Period in 2000 and 2001

Takashi Y. NAKAJIMA, Akihiro UCHIYAMA, Tamio TAKAMURA, Naoya TSUJIOKA, Toshihiko TAKEMURA, Teruyuki NAKAJIMA
2005 Journal of the Meteorological Society of Japan  
The expected retrieval error is less than a few percent for t c and ten percent for r e under the cloud conditions as t c > 2, r e @ 10 mm (Nakajima and Nakajima 1995) . b.  ...  ., Platnick and Twomey 1994; Hayasaka et al. 1994; Platnick and Valero 1995; Han et al. 1995; Nakajima and Nakajima 1995; Kuji et al. 2000; Kawamoto et al. 2001; Dong et al. 2002) .  ... 
doi:10.2151/jmsj.83.1085 fatcat:j7ppzmvkffaf5hloxku7llhzgu

Investigation of the Vertical Structure of Warm-Cloud Microphysical Properties Using the Cloud Evolution Diagram, CFODD, Simulated by a Three-Dimensional Spectral Bin Microphysical Model

Yousuke Sato, Takashi Y. Nakajima, Teruyuki Nakajima
2012 Journal of the Atmospheric Sciences  
Y. Sato was supported by the JSPS Institutional Program for Young Researcher Overseas Visits and greatly acknowledges Dr. Jorgen Jensen and Dr. Christpher S. Bretherton for their helpful advice.  ...  T e w D y 1 L w K a T L w R y T 2 1 , (2) where m, r, R y , D y , e w , K a , and L w are the mass and radius of the hydrometeors, the gas constant of vapor, diffusivity of water vapor, saturation vapor  ...  (CAPCOM; Nakajima and Nakajima, 1995; Kawamoto et al. 2001) algorithm.  ... 
doi:10.1175/jas-d-11-0244.1 fatcat:hnsb5a7dzrd7dizlpin2anitny

A Study of Microphysical Mechanisms for Correlation Patterns between Droplet Radius and Optical Thickness of Warm Clouds with a Spectral Bin Microphysics Cloud Model

Kentaroh Suzuki, Teruyuki Nakajima, Takashi Y. Nakajima, Alexander P. Khain
2010 Journal of the Atmospheric Sciences  
In the present study, we perform experiments by assuming the form suggested by Long (1974) as K(m 1 , m 2 ) 5 C 1 (y 2 large 1 y 2 small ) for r large , 50 mm, C 2 (y large 1 y small ) for r large $  ...  and Nakajima (1995) .  ... 
doi:10.1175/2009jas3283.1 fatcat:czi7otdtrjf5jd6wpa5yyj654i
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