In this paper, we explore the potential for improving CALIPSO backscatter profiles through constraints imposed by MODIS derived path reflectances. This is done by processing the 2 channel lidar signals using a wide range of aeronet derived atmosphere models to determine both backscatter and mixing ratio and determining the set of models that satisfy all the MODIS path reflectance constraints.

B. H. Kahn, M. T. Chahine, G. L. Stephens, G. G. Mace, R. T. Marchand, Z. Wang, C. D. Barnet, A. Eldering, R. E. Holz, R. E. Kuehn, and D. G. Vane Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA Department of Meteorology, University of Utah, Salt Lake City, UT, USA Joint Institut...

Introduction Conclusions References

A neural-network algorithm that uses CALIPSO lidar measurements to infer droplet effective radius, extinction coefficient, liquid-water content, and number concentration for water clouds is described assessed. These results are verified against values inferred from High-Spectral-Resolution Lidar (HSRL) Research Scanning Polarimeter (RSP) made on an aircraft flew under CALIPSO. The global cloud ...

Here, liquid water path (LWP), cloud fraction, cloud top height, and cloud base height retrieved by a suite of A-train satellite instruments (the CPR aboard CloudSat, CALIOP aboard CALIPSO, and MODIS aboard Aqua) are compared to ship observations from research cruises made in 2001 and 2003–2007 into the stratus/stratocumulus deck over the southeast Pacific Ocean. It is found that CloudSat radar...

Section:ChooseTop of pageAbstract <<1.AL SON DEL CALIPSO: ANC...2.AL RITMO DE LAS COMPARS...3.CONCLUSIONES: AMALGAMAS...BIBLIOGRAFÍA

The Cloud-Aerosol LiDAR and Infrared Pathfinder Satellite Observation (CALIPSO) satellite was launched in 2006 with the primary goal of measuring properties clouds aerosols Earth’s atmosphere using LiDAR. Since then, numerous studies have shown viability CALIPSO to observe day/night differences subsurface optical oceans large seas from space. To date no been done on monitor large, freshwater-la...

We present a new solver for non-convex trajectory optimization problems that is specialized robotics applications. CALIPSO, or the Conic Augmented Lagrangian Interior-Point SOlver, combines several strategies constrained numerical to natively handle second-order cones and complementarity constraints. It reliably solves challenging motion planning include contact-implicit formulations of impacts...