Author: Christian RolfPublisher: Forschungszentrum Jülich
ISBN: 3893368477
Category :
Languages : en
Pages : 143
Book Description
Lidar Observations of Natural and Volcanic-ash-induced Cirrus Clouds
Author: Christian RolfPublisher: Forschungszentrum Jülich
ISBN: 3893368477
Category :
Languages : en
Pages : 143
Book Description
Characterization of Effective Hydraulic Properties of Unsaturated Porous Media Using Spectral Induced Polarization (SIP)
Author: Katrin BreedePublisher: Forschungszentrum Jülich
ISBN: 3893368752
Category :
Languages : en
Pages : 93
Book Description
Experimental Determination of the Partitioning Coefficient of Nopinone as a Marker Substance in Organic Aerosol
Author: Bettina SteitzPublisher: Forschungszentrum Jülich
ISBN: 3893368620
Category :
Languages : en
Pages : 139
Book Description
Interest Mediation and Policy Formulation in the European Union
Author: Olga SchenkPublisher: Forschungszentrum Jülich
ISBN: 3893368523
Category :
Languages : en
Pages : 277
Book Description
Ion Beam Treatment of Functional Layers in Thin-film Silicon Solar Cells
Author: Wendi ZhangPublisher: Forschungszentrum Jülich
ISBN: 3893368647
Category :
Languages : en
Pages : 215
Book Description
Lidar Observations of Debris Clouds from Nuclearcratering Detonations
Author: Ronald Thomas H. CollisPublisher:
ISBN:
Category : Nuclear excavation
Languages : en
Pages : 94
Book Description
Observations of Tropical Cirrus by Elastic Backscatter Lidars and the Development of a Cloud and Aerosol Retrieval Algorithm for Raman Lidars
Author: Tyler J. ThorsenPublisher:
ISBN:
Category :
Languages : en
Pages : 233
Book Description
Tropical cirrus cloud properties from elastic backscatter lidars--- namely the Atmospheric Radiation Measurement (ARM) program's ground-based micropulse lidars (MPL) and the spaceborne Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) lidar--- are examined. The MPL detects significantly less cirrus clouds relative to CALIPSO, particularly during the daytime. However, the MPL samples enough cirrus at night to provide similar statistics of macrophysical and optical properties as CALIPSO. Both sets of lidar observations are supplemented with cloud radar observations to calculate radiative heating rate profiles from a ground-based and spaceborne perspective. The inferred radiative effect of clouds is much smaller when using the ground-based data, mostly due to the lack of cirrus detected by the MPL. The relatively new and more advance ARM Raman lidar (RL) is shown to be more sensitive to cirrus than the ARM MPL and detects a similar amount of cirrus as CALIPSO. Daytime measurements using the RL elastic channel are relatively unaffected by the solar background and are therefore suited for checking the observed diurnal cycles from the MPL and CALIPSO. Comparisons with RL observations show that the geometrical thickness of cirrus from the MPL and CALIPSO datasets are biased thin during the daytime due to increased noise. Various upgrades since its conception have made the ARM RL a viable tool for cloud studies as demonstrated by this thesis. Since the ARM RL was not originally designed for cloud observations, the current automated processing algorithms do not identify all clouds nor attempt to retrieve cloud extinction profiles. Therefore an improved Feature detection and EXtinction retrieval (FEX) algorithm is developed. The approach of FEX is to use multiple quantities to identify features (clouds and aerosols) using range-dependent context-sensitive detection thresholds. The use of multiple quantities provides complementary depictions of cloud and aerosol locations. The extinction profiles are directly retrieved using the Raman method, which are supplemented by other retrieval methods developed for elastic backscatter lidars. A classification of feature type is made guided by the atmosphere's thermodynamic state and the feature's scattering properties. The contribution of multiple scattering, which is significant for hydrometeors, is explicitly considered for each of the ARM RL channels. The FEX framework is also suitable for other advance lidars, i.e. high spectral resolution lidars (HSRL). The continuously operated, automated ARM RLs paired with FEX provide an enormous wealth of water vapor, temperature, aerosol and cloud data unmatched by other remote sensing systems.
Dynamic and Microphysical Characteristics of Cirrus Clouds as Revealed by Aircraft, Lidar, and Other Observations During FIRE
Author: Ismail GultepePublisher:
ISBN:
Category : Cloud physics
Languages : en
Pages : 300
Book Description
Final Report, Grant NAG-1-882, UW 144-AH14
Author: Edwin Walter ElorantaCirrus
Author: David K. LynchPublisher: Oxford University Press, USA
ISBN: 0195130723
Category : Cirrus clouds
Languages : en
Pages : 499
Book Description
This text, devoted entirely to cirrus clouds, captures the state of knowledge of cirrus clouds and serves as a practical handbook as well.