The EarthCARE satellite: the next step forward in global measurements of clouds, aerosols, precipitation, and radiation next step forward in global
暂无分享,去创建一个
[1] Nobuhiro Takahashi,et al. Doppler velocity calibration study for Cloud Profiling Radar on earthcare , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.
[2] Duane E. Waliser,et al. An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data , 2012 .
[3] Hajime Okamoto,et al. Algorithm to Retrieve Aerosol Optical Properties From High-Spectral-Resolution Lidar and Polarization Mie-Scattering Lidar Measurements , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[4] Tristan S. L'Ecuyer,et al. The Distribution of Rainfall over Oceans from Spaceborne Radars , 2010 .
[5] A. Ansmann,et al. Aerosol-type-dependent lidar ratios observed with Raman lidar , 2007 .
[6] Hajime Okamoto,et al. 95‐GHz Doppler radar and lidar synergy for simultaneous ice microphysics and in‐cloud vertical air motion retrieval , 2009 .
[7] V. Freudenthaler,et al. Dual-wavelength linear depolarization ratio of volcanic aerosols: Lidar measurements of the Eyjafjallajökull plume over Maisach, Germany , 2012 .
[8] Hajime Okamoto,et al. An algorithm for retrieval of cloud microphysics using 95-GHz cloud radar and lidar , 2003 .
[9] Bruno Tremblay,et al. EarthCARE BBR detectors performance characterization , 2010, Remote Sensing.
[10] Hajime Okamoto,et al. Global analysis of ice microphysics from CloudSat and CALIPSO: Incorporation of specular reflection in lidar signals , 2010 .
[11] Shepard A. Clough,et al. Atmospheric radiative transfer modeling: a summary of the AER codes , 2005 .
[12] Hajime Okamoto,et al. Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO , 2013 .
[13] Ellsworth J. Welton,et al. Global monitoring of clouds and aerosols using a network of micropulse lidar systems , 2001, SPIE Asia-Pacific Remote Sensing.
[14] Nick Schutgens,et al. Simulated Doppler radar observations of inhomogeneous clouds: Application to the EarthCARE space mission , 2008 .
[15] Takashi Nakajima,et al. Droplet Growth in Warm Water Clouds Observed by the A-Train. Part II: A Multisensor View , 2010 .
[16] G. Stephens,et al. Use of A‐Train data to estimate convective buoyancy and entrainment rate , 2010 .
[17] R. Hogan,et al. Cloud effective particle size and water content profile retrievals using combined lidar and radar observations 2. Comparison with IR radiometer and in situ , 2001 .
[18] E. Eloranta,et al. High spectral resolution lidar to measure optical scattering properties of atmospheric aerosols. 2: calibration and data analysis. , 1983, Applied optics.
[19] Simone Tanelli,et al. DOMUS: DOppler MUltiple-Scattering Simulator , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[20] H. Barker,et al. Computation of Solar Radiative Fluxes by 1D and 3D Methods Using Cloudy Atmospheres Inferred from A-train Satellite Data , 2011, Surveys in Geophysics.
[21] Robin J. Hogan,et al. Equation for the Microwave Backscatter Cross Section of Aggregate Snowflakes Using the Self-Similar Rayleigh–Gans Approximation , 2014 .
[22] P. Bauer,et al. Experimental 1D + 4D‐Var assimilation of CloudSat observations , 2012 .
[23] Guosheng Liu,et al. Deriving snow cloud characteristics from CloudSat observations , 2008 .
[24] Haruma Ishida,et al. Development of an unbiased cloud detection algorithm for a spaceborne multispectral imager , 2009 .
[25] D. Winker,et al. The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm , 2009 .
[26] Mark A. Vaughan,et al. The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Algorithm Description , 2009 .
[27] T. Nakajima,et al. A study of the shortwave direct aerosol forcing using ESSP/CALIPSO observation and GCM simulation , 2013 .
[28] R. Engelmann,et al. Aerosol profiling with lidar in the Amazon Basin during the wet and dry season , 2012 .
[29] W. Collins,et al. Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results , 2012 .
[30] Roland Meynart,et al. The ESA EarthCARE mission: results of the ATLID instrument pre-developments , 2007, SPIE Remote Sensing.
[31] Simone Tanelli,et al. CloudSat mission: Performance and early science after the first year of operation , 2008 .
[32] M. Lebsock,et al. Detecting the Ratio of Rain and Cloud Water in Low-Latitude Shallow Marine Clouds , 2010 .
[33] E. O'connor,et al. The Evaluation of CloudSat and CALIPSO Ice Microphysical Products Using Ground-Based Cloud Radar and Lidar Observations , 2010 .
[34] Alexander Smirnov,et al. A Study of Global Aerosol Optical Climatology with Two-Channel AVHRR Remote Sensing , 2000 .
[35] Hajime Okamoto,et al. Refinement of global ice microphysics using spaceborne active sensors , 2011 .
[36] Diana Verseghy,et al. The Canadian Fourth Generation Atmospheric Global Climate Model (CanAM4). Part I: Representation of Physical Processes , 2013, Data, Models and Analysis.
[37] R. Engelmann,et al. North-south cross sections of the vertical aerosol distribution over the Atlantic Ocean from multiwavelength Raman/polarization lidar during Polarstern cruises , 2013, Journal of geophysical research. Atmospheres : JGR.
[38] Hajime Okamoto,et al. Development of a combined CloudSat‐CALIPSO cloud mask to show global cloud distribution , 2010 .
[39] Sandrine Bony,et al. An Assessment of the Primary Sources of Spread of Global Warming Estimates from Coupled Atmosphere–Ocean Models , 2008 .
[40] S. Bony,et al. The ‘too few, too bright’ tropical low‐cloud problem in CMIP5 models , 2012 .
[41] Yongxiang Hu,et al. A study of subvisual clouds and their radiation effect with a synergy of CERES, MODIS, CALIPSO, and AIRS data , 2011 .
[42] Fabrizio Pirondini,et al. ECSIM: the simulator framework for EarthCARE , 2007, SPIE Remote Sensing.
[43] David R. Doelling,et al. Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth’s Radiant Energy System Instrument on the Terra Satellite. Part II: Validation , 2005 .
[44] Tobias Wehr,et al. Toward an Earth Clouds, Aerosols and Radiation Explore (EarthCARE) thermal flux determination: Evaluation using Clouds and the Earth's Radiant Energy System (CERES) true along‐track data , 2011 .
[45] A. Smirnov,et al. AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .
[46] V. Freudenthaler,et al. EARLINET correlative measurements for CALIPSO: First intercomparison results , 2010 .
[47] H. Treut,et al. THE CALIPSO MISSION: A Global 3D View of Aerosols and Clouds , 2010 .
[48] Norman G. Loeb,et al. Top‐of‐atmosphere shortwave broadband observed radiance and estimated irradiance over polar regions from Clouds and the Earth's Radiant Energy System (CERES) instruments on Terra , 2005 .
[49] Graeme L. Stephens,et al. An Estimation-Based Precipitation Retrieval Algorithm for Attenuating Radars , 2002 .
[50] A. Bodas‐Salcedo,et al. Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data , 2011 .
[51] H. Hasumi,et al. Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity , 2010, Journal of Climate.
[52] G. Mace,et al. Tropical composition, cloud and climate coupling experiment validation for cirrus cloud profiling retrieval using cloudsat radar and CALIPSO lidar , 2010 .
[53] V. Freudenthaler,et al. Characterization of Saharan dust, marine aerosols and mixtures of biomass-burning aerosols and dust by means of multi-wavelength depolarization and Raman lidar measurements during SAMUM 2 , 2011 .
[54] T. L’Ecuyer,et al. Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis , 2013 .
[55] Takashi Nakajima,et al. Particle Growth and Drop Collection Efficiency of Warm Clouds as Inferred from Joint CloudSat and MODIS Observations , 2010 .
[56] W. V. Hoyningen-Huene,et al. Retrieval of aerosol optical thickness over land surfaces from top‐of‐atmosphere radiance , 2003 .
[57] Tobias Wehr,et al. A 3D cloud‐construction algorithm for the EarthCARE satellite mission , 2011 .
[58] R. Ferrare,et al. Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples , 2011 .
[59] Sergey Y. Matrosov,et al. Potential for attenuation‐based estimations of rainfall rate from CloudSat , 2007 .
[60] Hajime Okamoto,et al. Algorithms to retrieve optical properties of three component aerosols from two-wavelength backscatter and one-wavelength polarization lidar measurements considering nonsphericity of dust , 2011 .
[61] Dino Giuli,et al. The Effects of Nonuniform Beam Filling on Vertical Rainfall Velocity Measurements with a Spaceborne Doppler Radar , 2002 .
[62] Teruyuki Nakajima,et al. Overview of the Atmospheric Brown Cloud East Asian Regional Experiment 2005 and a study of the aerosol direct radiative forcing in east Asia , 2007 .
[63] E. Eloranta,et al. High spectral resolution lidar to measure optical scattering properties of atmospheric aerosols. 1: theory and instrumentation. , 1983, Applied optics.
[64] Zhien Wang,et al. A global view of midlevel liquid-layer topped stratiform cloud distribution and phase partition from CALIPSO and CloudSat measurements , 2010 .
[65] R. Hogan,et al. Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds , 2010 .
[66] Hajime Okamoto,et al. Global analysis of cloud phase and ice crystal orientation from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data using attenuated backscattering and depolarization ratio , 2010 .
[67] Robin J. Hogan,et al. Fast Lidar and Radar Multiple-Scattering Models. Part I: Small-Angle Scattering Using the Photon Variance–Covariance Method , 2008 .
[68] Nobuhiro Takahashi,et al. Simulation of EarthCARE Spaceborne Doppler Radar Products Using Ground-Based and Airborne Data: Effects of Aliasing and Nonuniform Beam-Filling , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[69] Bjorn Stevens,et al. Clouds, Circulation and Climate Sensitivity: Or how the interactions between clouds, greenhouse gases and aerosols affect temperature and precipitation in a changing climate , 2012 .
[70] C. Jakob. Ice clouds in numerical weather prediction models: progress, problems, and prospects , 2002 .
[71] A. Ansmann,et al. Optimizing CALIPSO Saharan dust retrievals , 2013 .
[72] Abelardo Pérez Albiñana,et al. The multi-spectral imager on board the EarthCARE spacecraft , 2010, Optical Engineering + Applications.
[73] A. Ipe,et al. Outgoing longwave flux estimation: improvement of angular modelling using spectral information , 2003 .
[74] T. Nakajima,et al. Vertical cloud properties in the tropical western Pacific Ocean: Validation of the CCSR/NIES/FRCGC GCM by shipborne radar and lidar , 2008 .
[75] Pavlos Kollias,et al. Using Ice Clouds for Mitigating the EarthCARE Doppler Radar Mispointing , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[76] Q. Fu,et al. On the correlated k-distribution method for radiative transfer in nonhomogeneous atmospheres , 1992 .