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satellite and complicating passive ground-based observations. An example of this is shown in Fig. 4 for 26 September, taken from the NASA Moderate Resolution Infrared Spectroradiometer (MODIS; King et al. 2003 ), aboard the Aqua satellite, and the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument aboard the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations ( CALIPSO ) platform; Winker et al. 2010 ). The two instruments are flown in sequence in the NASA A
satellite and complicating passive ground-based observations. An example of this is shown in Fig. 4 for 26 September, taken from the NASA Moderate Resolution Infrared Spectroradiometer (MODIS; King et al. 2003 ), aboard the Aqua satellite, and the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument aboard the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations ( CALIPSO ) platform; Winker et al. 2010 ). The two instruments are flown in sequence in the NASA A
1328 JOURNAL OF APPLIED METEOROLOGYSmoke-Column Observations from Two Forest FiresUsing Doppler Lidar and Doppler RadarR. M. BANTA, L. D. OLIVlER, E. T. HOLLOWAY, R. A. KROPFLI, B. W. BARTRAM, R. E. CUPP, AND M. J. POST NOAA /ERL Wave Propagation Laboratory, Boulder, Colorado (Manuscript received 28 August 1991, in final form 2 March 1992) To demonstrate the usefulness of active remote-sensing systems in observin~ form fire plume behavior
1328 JOURNAL OF APPLIED METEOROLOGYSmoke-Column Observations from Two Forest FiresUsing Doppler Lidar and Doppler RadarR. M. BANTA, L. D. OLIVlER, E. T. HOLLOWAY, R. A. KROPFLI, B. W. BARTRAM, R. E. CUPP, AND M. J. POST NOAA /ERL Wave Propagation Laboratory, Boulder, Colorado (Manuscript received 28 August 1991, in final form 2 March 1992) To demonstrate the usefulness of active remote-sensing systems in observin~ form fire plume behavior
in this study, radar data assimilation has been developed in WRF ( Xiao et al. 2005 ; Wang et al. 2013 ; Choi et al. 2013 ; Sun and Wang 2013 ) and applied in forecasts ( Xiao and Sun 2007 ; Routray et al. 2010 ). Radar observations share a very similar spatial structure with lidar, where data are measured on a cone with only the line of sight velocity component measured, and the resolution of data becoming higher closer to the instrument, due to shorter arclength of neighboring beams at
in this study, radar data assimilation has been developed in WRF ( Xiao et al. 2005 ; Wang et al. 2013 ; Choi et al. 2013 ; Sun and Wang 2013 ) and applied in forecasts ( Xiao and Sun 2007 ; Routray et al. 2010 ). Radar observations share a very similar spatial structure with lidar, where data are measured on a cone with only the line of sight velocity component measured, and the resolution of data becoming higher closer to the instrument, due to shorter arclength of neighboring beams at
) mission has been defined to allow a better understanding of aerosol and cloud radiative forcing. Observations from the three-channel Imaging Infrared Radiometer (IIR) developed in France by the Centre National d’Etudes Spatiales (CNES), the Société d’Etudes et de Réalisations Nucléaires (SODERN), and the Institut Pierre-Simon Laplace (IPSL) are combined with those from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) to provide a new characterization of the microphysics at global scale
) mission has been defined to allow a better understanding of aerosol and cloud radiative forcing. Observations from the three-channel Imaging Infrared Radiometer (IIR) developed in France by the Centre National d’Etudes Spatiales (CNES), the Société d’Etudes et de Réalisations Nucléaires (SODERN), and the Institut Pierre-Simon Laplace (IPSL) are combined with those from the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) to provide a new characterization of the microphysics at global scale
JULY 1988 REINOUT BOERS, JAMES D. SPINHIRNE AND WILLIAM D. HART 797Lidar Observations of the Fine-Scale Variability of Marine Stratocumulus Clouds REINOUT BOERS~'*, JAMES D. SPINHIRNE~ AND WILLIAM D. HART***NAS~t/Goddard Space Flight Center, Laboratory for Atmospheres, Code 617, Greenbelt, Maryland*Department of Meteorology, University of Maryland, College Park, Maryland**Science Systems and Applicalions, Inc
JULY 1988 REINOUT BOERS, JAMES D. SPINHIRNE AND WILLIAM D. HART 797Lidar Observations of the Fine-Scale Variability of Marine Stratocumulus Clouds REINOUT BOERS~'*, JAMES D. SPINHIRNE~ AND WILLIAM D. HART***NAS~t/Goddard Space Flight Center, Laboratory for Atmospheres, Code 617, Greenbelt, Maryland*Department of Meteorology, University of Maryland, College Park, Maryland**Science Systems and Applicalions, Inc
SEPTEMBER 1977 REAGAN ET AL. 911Atmospheric Particulate Properties Inferred from Lidar and SolarRadiometer Observations Compared with Simultaneous In SituAircraft Measurements: A Case StudyJ. A. REAGAN, J. D. SP~NmRNE AND D. M. BYRNE The University of Arizona, Tucson 857fl D. W. THOMSON, R. G. DE PENA AND -. 1VfAMANE The Pennsylvania State University, University Park 16801
SEPTEMBER 1977 REAGAN ET AL. 911Atmospheric Particulate Properties Inferred from Lidar and SolarRadiometer Observations Compared with Simultaneous In SituAircraft Measurements: A Case StudyJ. A. REAGAN, J. D. SP~NmRNE AND D. M. BYRNE The University of Arizona, Tucson 857fl D. W. THOMSON, R. G. DE PENA AND -. 1VfAMANE The Pennsylvania State University, University Park 16801
or dynamical processes of cloud formation. This study focuses on the evaluation of a passive infrared-channel-based cloud thermodynamic phase retrieval using collocated lidar observations. There are numerous robust cloud-phase determination techniques based on reflected solar radiation ( Pilewskie and Twomey, 1987 ; Riédi et al. 2000 ; Knap et al. 2002 ; Platnick et al. 2003 ; Pavolonis et al. 2005 ; Chylek et al. 2006 ), but fewer techniques use only infrared observations. The main
or dynamical processes of cloud formation. This study focuses on the evaluation of a passive infrared-channel-based cloud thermodynamic phase retrieval using collocated lidar observations. There are numerous robust cloud-phase determination techniques based on reflected solar radiation ( Pilewskie and Twomey, 1987 ; Riédi et al. 2000 ; Knap et al. 2002 ; Platnick et al. 2003 ; Pavolonis et al. 2005 ; Chylek et al. 2006 ), but fewer techniques use only infrared observations. The main
and shedding from patches of velocity anomalies aloft of mountain peaks and ridges. Also, large-scale LCS associated with updraft appear to be created by the topography of Lin Fa Shan, south of the airport. A real-time detection of these LCS is expected to provide crucial information for aviation hazard detection. To assess the feasibility of using LCS in a real-time turbulence alert system, we compared available onboard landing data with the LCS extracted from lidar observations on the ground. We
and shedding from patches of velocity anomalies aloft of mountain peaks and ridges. Also, large-scale LCS associated with updraft appear to be created by the topography of Lin Fa Shan, south of the airport. A real-time detection of these LCS is expected to provide crucial information for aviation hazard detection. To assess the feasibility of using LCS in a real-time turbulence alert system, we compared available onboard landing data with the LCS extracted from lidar observations on the ground. We
774 JOURNAL OF CLIMATE AND APPLIED METEOROLOGY VOLUME26Coincident Lidar and Aircraft Observations of Entrainment into Thermals and Mixed Layers TIMOTHY D. CRUM,* ROLAND B. STULL, AND EDWIN W. ELORANTABoundary Layer Research Team, Department of Meteorology, University of Wisconsin, Madison, W133706(Manuscript received 1 July 1986, in final fo,rm 23 December 1986) Coincident observations of the daytime
774 JOURNAL OF CLIMATE AND APPLIED METEOROLOGY VOLUME26Coincident Lidar and Aircraft Observations of Entrainment into Thermals and Mixed Layers TIMOTHY D. CRUM,* ROLAND B. STULL, AND EDWIN W. ELORANTABoundary Layer Research Team, Department of Meteorology, University of Wisconsin, Madison, W133706(Manuscript received 1 July 1986, in final fo,rm 23 December 1986) Coincident observations of the daytime
.g., Betts and Viterbo 2005 ; Betts 2007 ; Garratt 1993 ). Clouds and cloud feedbacks are thus a key component of the monsoon system that need to be better documented and understood. A major advance over poorly documented regions was achieved in 2006 with the launch of the CloudSat ( Stephens et al. 2002 ) and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations ( CALIPSO ; Winker et al. 2007 ) satellites that provide a cloud radar and a lidar within the A-Train constellation. This
.g., Betts and Viterbo 2005 ; Betts 2007 ; Garratt 1993 ). Clouds and cloud feedbacks are thus a key component of the monsoon system that need to be better documented and understood. A major advance over poorly documented regions was achieved in 2006 with the launch of the CloudSat ( Stephens et al. 2002 ) and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations ( CALIPSO ; Winker et al. 2007 ) satellites that provide a cloud radar and a lidar within the A-Train constellation. This
