THE CALIPSO MISSION: A Global 3D View of Aerosols and Clouds

Aerosols and clouds have important effects on Earth's climate through their effects on the radiation budget and the cycling of water between the atmosphere and Earth's surface. Limitations in our understanding of the global distribution and properties of aerosols and clouds are partly responsible for the current uncertainties in modeling the global climate system and predicting climate change. The CALIPSO satellite was developed as a joint project between NASA and the French space agency CNES to provide needed capabilities to observe aerosols and clouds from space. CALIPSO carries CALIOP, a two-wavelength, polarization-sensitive lidar, along with two passive sensors operating in the visible and thermal infrared spectral regions. CALIOP is the first lidar to provide long-term atmospheric measurements from Earth's orbit. Its profiling and polarization capabilities offer unique measurement capabilities. Launched together with the CloudSat satellite in April 2006 and now flying in formation with the A-train satellite constellation, CALIPSO is now providing information on the distribution and properties of aerosols and clouds, which is fundamental to advancing our understanding and prediction of climate. This paper provides an overview of the CALIPSO mission and instruments, the data produced, and early results.

[1]  S. Twomey The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .

[2]  S. Warren,et al.  Optical constants of ice from the ultraviolet to the microwave. , 1984, Applied optics.

[3]  Toshiro Inoue,et al.  A cloud type classification with NOAA 7 split‐window measurements , 1987 .

[4]  Harshvardhan,et al.  Interactions among Radiation, Convection, and Large-Scale Dynamics in a General Circulation Model , 1989 .

[5]  John F. B. Mitchell,et al.  Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models , 1990 .

[6]  K. Sassen The Polarization Lidar Technique for Cloud Research: A Review and Current Assessment , 1991 .

[7]  Frédéric Parol,et al.  Information Content of AVHRR Channels 4 and 5 with Respect to the Effective Radius of Cirrus Cloud Particles , 1991 .

[8]  D. Hartmann,et al.  The Effect of Cloud Type on Earth's Energy Balance: Global Analysis , 1992 .

[9]  Hervé Le Treut,et al.  Cloud-radiation feedbacks in a general circulation model and their dependence on cloud modelling assumptions , 1992 .

[10]  S. Klein,et al.  The Seasonal Cycle of Low Stratiform Clouds , 1993 .

[11]  J. Wallace,et al.  On the cause of the annual cycle in tropical lower-stratospheric temperatures , 1994 .

[12]  Zhian Sun,et al.  Parameterization of ice cloud radiative properties and its application to the potential climatic importance of mixed-phase clouds , 1995 .

[13]  J. Haywood,et al.  The effect of anthropogenic sulfate and soot aerosol on the clear sky planetary radiation budget , 1995 .

[14]  D. Randall,et al.  Mission to planet Earth: Role of clouds and radiation in climate , 1995 .

[15]  Donald P. Wylie,et al.  Comparison of the Climatologies of High-Level Clouds from HIRS and ISCCP , 1996 .

[16]  D. Randall,et al.  Liquid and Ice Cloud Microphysics in the CSU General Circulation Model , 1996 .

[17]  T. Cahill Climate forcing by anthropogenic aerosols: the role for PIXE , 1996 .

[18]  Effect of clouds on direct aerosol radiative forcing of climate , 1998 .

[19]  D. Tratt,et al.  Lidar in-space technology experiment measurements of sea surface directional reflectance and the link to surface wind speed. , 1998, Applied optics.

[20]  Irina N. Sokolik,et al.  Modeling the radiative characteristics of airborne mineral aerosols at infrared wavelengths , 1998 .

[21]  D. Tanré,et al.  Remote Sensing of Tropospheric Aerosols from Space: Past, Present, and Future. , 1999 .

[22]  W. Rossow,et al.  Advances in understanding clouds from ISCCP , 1999 .

[23]  Irina N. Sokolik,et al.  Radiative heating rates and direct radiative forcing by mineral dust in cloudy atmospheric conditions , 2000 .

[24]  V. Ramanathan,et al.  Reduction of tropical cloudiness by soot , 2000, Science.

[25]  Teruyuki Nakajima,et al.  A possible correlation between satellite‐derived cloud and aerosol microphysical parameters , 2001 .

[26]  Q. Fu,et al.  The heat balance of the tropical tropopause, cirrus, and stratospheric dehydration , 2001 .

[27]  E. O'connor,et al.  The CloudSat mission and the A-train: a new dimension of space-based observations of clouds and precipitation , 2002 .

[28]  Joyce E. Penner,et al.  Soot and smoke aerosol may not warm climate , 2002 .

[29]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[30]  David M. Winker,et al.  The CALIPSO mission: spaceborne lidar for observation of aerosols and clouds , 2003, SPIE Asia-Pacific Remote Sensing.

[31]  W. Paul Menzel,et al.  The MODIS cloud products: algorithms and examples from Terra , 2003, IEEE Trans. Geosci. Remote. Sens..

[32]  Tristan S. L'Ecuyer,et al.  The impact of explicit cloud boundary information on ice cloud microphysical property retrievals from infrared radiances , 2003 .

[33]  O. Chomette,et al.  Retrieval of cloud emissivity and particle size frame of the CALIPSO mission , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[34]  Sonoyo Mukai,et al.  A study of the direct and indirect effects of aerosols using global satellite data sets of aerosol and cloud parameters , 2003 .

[35]  P. Forster,et al.  Radiation balance of the tropical tropopause layer , 2004 .

[36]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[37]  M. Doutriaux-Boucher,et al.  Evaluation of cloud thermodynamic phase parametrizations in the LMDZ GCM by using POLDER satellite data , 2004 .

[38]  David M. Winker,et al.  Fully automated analysis of space-based lidar data: an overview of the CALIPSO retrieval algorithms and data products , 2004, SPIE Remote Sensing.

[39]  U. Lohmann,et al.  Global indirect aerosol effects: a review , 2004 .

[40]  M. Chin,et al.  A review of measurement-based assessments of the aerosol direct radiative effect and forcing , 2005 .

[41]  V. Ramanathan,et al.  Global anthropogenic aerosol direct forcing derived from satellite and ground-based observations , 2005 .

[42]  S. Bony,et al.  Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models , 2005 .

[43]  D. Chu,et al.  Improving National Air Quality Forecasts with Satellite Aerosol Observations , 2005 .

[44]  Zhanqing Li,et al.  A Near-Global Climatology of Single-Layer and Overlapped Clouds and Their Optical Properties Retrieved from Terra/MODIS Data Using a New Algorithm , 2005, Journal of Climate.

[45]  Ilan Koren,et al.  The effect of smoke, dust, and pollution aerosol on shallow cloud development over the Atlantic Ocean. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[46]  S. Bony,et al.  Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements , 2005 .

[47]  J. Coakley,et al.  Aerosol and cloud property relationships for summertime stratiform clouds in the northeastern Atlantic from Advanced Very High Resolution Radiometer observations , 2005 .

[48]  W. Collins,et al.  An AeroCom initial assessment – optical properties in aerosol component modules of global models , 2018 .

[49]  Qiang Fu,et al.  Mean radiative energy balance and vertical mass fluxes in the equatorial upper troposphere and lower stratosphere , 2005 .

[50]  Adam A. Scaife,et al.  Simulations of anthropogenic change in the strength of the Brewer–Dobson circulation , 2006 .

[51]  J. Coakley,et al.  Effects of threshold retrievals on estimates of the aerosol indirect radiative forcing , 2006 .

[52]  C. Bretherton,et al.  On the Relationship between Stratiform Low Cloud Cover and Lower-Tropospheric Stability , 2006 .

[53]  Yoko Tsushima,et al.  Importance of the mixed-phase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: a multi-model study , 2006 .

[54]  Q. Fu,et al.  Identifying the top of the tropical tropopause layer from vertical mass flux analysis and CALIPSO lidar cloud observations , 2007 .

[55]  R. Charlson,et al.  On the climate forcing consequences of the albedo continuum between cloudy and clear air , 2007 .

[56]  Steven Platnick,et al.  Differences Between Collection 4 and 5 MODIS Ice Cloud Optical/Microphysical Products and Their Impact on Radiative Forcing Simulations , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[57]  Robert F. Cahalan,et al.  3‐D aerosol‐cloud radiative interaction observed in collocated MODIS and ASTER images of cumulus cloud fields , 2007 .

[58]  David M. Winker,et al.  An assessment of the on-orbit performance of the CALIPSO wide field camera , 2007, SPIE Remote Sensing.

[59]  D. Winker,et al.  Initial performance assessment of CALIOP , 2007 .

[60]  J. Hansen,et al.  Accurate monitoring of terrestrial aerosols and total solar irradiance: Introducing the Glory mission , 2007 .

[62]  W. Menzel,et al.  Comparison of AIRS, MODIS, CloudSat and CALIPSO cloud top height retrievals , 2007 .

[63]  Zhaoyan Liu,et al.  Asian dust outflow in the PBL and free atmosphere retrieved by NASA CALIPSO and an assimilated dust transport model , 2008 .

[64]  Yoram J. Kaufman,et al.  An Emerging Global Aerosol Climatology from the MODIS Satellite Sensors , 2008 .

[65]  Robert F. Cahalan,et al.  A simple model for the cloud adjacency effect and the apparent bluing of aerosols near clouds , 2008 .

[66]  Robin J. Hogan,et al.  A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer , 2008 .

[67]  Patrick Minnis,et al.  Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data , 2008 .

[68]  Steven A. Ackerman,et al.  Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP , 2008 .

[69]  Jacques Pelon,et al.  New approach to determine aerosol optical depth from combined CALIPSO and CloudSat ocean surface echoes , 2008 .

[70]  Howard W. Barker,et al.  Overlap of fractional cloud for radiation calculations in GCMs: A global analysis using CloudSat and CALIPSO data , 2008 .

[71]  Claudia J. Stubenrauch,et al.  Cloud properties from Atmospheric Infrared Sounder and evaluation with Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations , 2008 .

[72]  S. Bony,et al.  Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model , 2008 .

[73]  Sundar A. Christopher,et al.  Updated estimate of aerosol direct radiative forcing from satellite observations and comparison against the Hadley Centre climate model , 2008 .

[74]  Gary G. Gibson,et al.  Sea surface wind speed estimation from space-based lidar measurements , 2008 .

[75]  Cynthia H. Twohy,et al.  Effect of changes in relative humidity on aerosol scattering near clouds , 2008 .

[76]  Wayne C. Welch,et al.  Airborne high spectral resolution lidar for profiling aerosol optical properties. , 2008, Applied optics.

[77]  T. L’Ecuyer,et al.  Remote sensing of tropical tropopause layer radiation balance using A‐train measurements , 2008 .

[78]  Sandrine Bony,et al.  An Assessment of the Primary Sources of Spread of Global Warming Estimates from Coupled Atmosphere–Ocean Models , 2008 .

[79]  Earth's Global Energy Budget , 2009 .

[80]  Larry Di Girolamo,et al.  Enhanced aerosol backscatter adjacent to tropical trade wind clouds revealed by satellite‐based lidar , 2009 .

[81]  David M. Winker,et al.  The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance , 2009 .

[82]  On the seasonal dependence of tropical lower-stratospheric temperature trends , 2009 .

[83]  D. Winker,et al.  CALIPSO Lidar Description and Performance Assessment , 2009 .

[84]  Robert Wood,et al.  Satellite-derived direct radiative effect of aerosols dependent on cloud cover , 2009 .

[85]  R. Marchand,et al.  A description of hydrometeor layer occurrence statistics derived from the first year of merged Cloudsat and CALIPSO data , 2009 .

[86]  David R. Doelling,et al.  Toward Optimal Closure of the Earth's Top-of-Atmosphere Radiation Budget , 2009 .

[87]  D. Winker,et al.  Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms , 2009 .

[88]  M. Chin,et al.  Online simulations of global aerosol distributions in the NASA GEOS‐4 model and comparisons to satellite and ground‐based aerosol optical depth , 2010 .

[89]  J. Coakley,et al.  Relationships among properties of marine stratocumulus derived from collocated CALIPSO and MODIS observations , 2010 .