Cirrus Characterization for Laser Propagation and Global Modeling

2006 ◽  
Author(s):  
John Hallett ◽  
Matt Bailey
Keyword(s):  
Global Modeling ◽  
Laser Propagation

A first-order model of thermal lensing of laser propagation in the eye and implications for laser safety

2005 ◽  
Author(s):  
Robert J. Thomas ◽  
Rebecca L. Vincelette ◽  
Gavin D. Buffington ◽  
Amber D. Strunk ◽  
Michael A. Edwards ◽  
...  
Keyword(s):  
Thermal Lensing ◽  
Order Model ◽  
Laser Safety ◽  
First Order ◽  
Laser Propagation

Stratospheric Laser Propagation

2002 ◽  
Author(s):  
Robert R. Beland
Keyword(s):  
Laser Propagation

Progress in Laser Propagation in a Maritime Environment at the Naval Research Laboratory

2005 ◽  
Author(s):  
G. C. Gilbreath ◽  
W. S. Rabinovich ◽  
C. I. Moore ◽  
H. R. Burris ◽  
R. Mahon ◽  
...  
Keyword(s):  
Research Laboratory ◽  
Naval Research Laboratory ◽  
Naval Research ◽  
Laser Propagation ◽  
Maritime Environment

Optical Turbulence Model for Laser Propagation and Imaging Applications

2004 ◽  
Author(s):  
E. S. Oh ◽  
J. C. Ricklin ◽  
G. C. Gilbreath ◽  
N Vallestero ◽  
Eaton J. ◽  
...  
Keyword(s):  
Turbulence Model ◽  
Optical Turbulence ◽  
Laser Propagation

Computation and Modeling for Laser Propagation in Ocular Tissues

2007 ◽  
Author(s):  
Dhiraj K. Sardar ◽  
Raylon M. Yow ◽  
Deepthi Takkalapally ◽  
Robert J. Thomas
Keyword(s):  
Ocular Tissues ◽  
Laser Propagation

scholarly journals Comparison of Radiative Energy Flows in Observational Datasets and Climate Modeling

2016 ◽  
Vol 55 (1) ◽  
pp. 93-117 ◽  
Author(s):  
Ehrhard Raschke ◽  
Stefan Kinne ◽  
William B. Rossow ◽  
Paul W. Stackhouse ◽  
Martin Wild
Keyword(s):  
Climate Modeling ◽  
Radiative Flux ◽  
Radiative Energy ◽  
Trade Wind ◽  
Radiative Effects ◽  
Ancillary Data ◽  
Global Modeling ◽  
Lower Altitude ◽  
Clear Sky ◽  
Cloud Radiative Effects

AbstractThis study examines radiative flux distributions and local spread of values from three major observational datasets (CERES, ISCCP, and SRB) and compares them with results from climate modeling (CMIP3). Examinations of the spread and differences also differentiate among contributions from cloudy and clear-sky conditions. The spread among observational datasets is in large part caused by noncloud ancillary data. Average differences of at least 10 W m−2 each for clear-sky downward solar, upward solar, and upward infrared fluxes at the surface demonstrate via spatial difference patterns major differences in assumptions for atmospheric aerosol, solar surface albedo and surface temperature, and/or emittance in observational datasets. At the top of the atmosphere (TOA), observational datasets are less influenced by the ancillary data errors than at the surface. Comparisons of spatial radiative flux distributions at the TOA between observations and climate modeling indicate large deficiencies in the strength and distribution of model-simulated cloud radiative effects. Differences are largest for lower-altitude clouds over low-latitude oceans. Global modeling simulates stronger cloud radiative effects (CRE) by +30 W m−2 over trade wind cumulus regions, yet smaller CRE by about −30 W m−2 over (smaller in area) stratocumulus regions. At the surface, climate modeling simulates on average about 15 W m−2 smaller radiative net flux imbalances, as if climate modeling underestimates latent heat release (and precipitation). Relative to observational datasets, simulated surface net fluxes are particularly lower over oceanic trade wind regions (where global modeling tends to overestimate the radiative impact of clouds). Still, with the uncertainty in noncloud ancillary data, observational data do not establish a reliable reference.

Sign in / Sign up

Export Citation Format

Share Document