scholarly journals Multi-sensor Aerosol Products Sampling System (MAPSS)

2012 ◽  
Vol 5 (5) ◽  
pp. 913-926 ◽  
Author(s):  
M. Petrenko ◽  
C. Ichoku ◽  
G. Leptoukh
Keyword(s):  
Atmospheric Aerosols ◽  
Integrated Analysis ◽  
Sampling System ◽  
Sampling Methodology ◽  
Multiple Sensors ◽  
Direct Cross ◽  
Local Properties ◽  
Complete Set ◽  
Global And Local ◽  
Level 2

Abstract. Global and local properties of atmospheric aerosols have been extensively observed and measured using both spaceborne and ground-based instruments, especially during the last decade. Unique properties retrieved by the different instruments contribute to an unprecedented availability of the most complete set of complimentary aerosol measurements ever acquired. However, some of these measurements remain underutilized, largely due to the complexities involved in analyzing them synergistically. To characterize the inconsistencies and bridge the gap that exists between the sensors, we have established a Multi-sensor Aerosol Products Sampling System (MAPSS), which consistently samples and generates the spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of aerosol products from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS. Samples of satellite aerosol products are extracted over Aerosol Robotic Network (AERONET) locations as well as over other locations of interest such as those with available ground-based aerosol observations. In this way, MAPSS enables a direct cross-characterization and data integration between Level-2 aerosol observations from multiple sensors. In addition, the available well-characterized co-located ground-based data provides the basis for the integrated validation of these products. This paper explains the sampling methodology and concepts used in MAPSS, and demonstrates specific examples of using MAPSS for an integrated analysis of multiple aerosol products.

scholarly journals Multi-sensor Aerosol Products Sampling System (MAPSS)

2012 ◽  
Vol 5 (1) ◽  
pp. 909-945 ◽  
Author(s):  
M. Petrenko ◽  
C. Ichoku ◽  
G. Leptoukh
Keyword(s):  
Atmospheric Aerosols ◽  
Integrated Analysis ◽  
Sampling System ◽  
Sampling Methodology ◽  
Multiple Sensors ◽  
Direct Cross ◽  
Local Properties ◽  
Complete Set ◽  
Global And Local ◽  
Level 2

Abstract. Global and local properties of atmospheric aerosols have been extensively observed and measured using both spaceborne and ground-based instruments, especially during the last decade. Unique properties retrieved by the different instruments contribute to an unprecedented availability of the most complete set of complimentary aerosol measurements ever acquired. However, some of these measurements remain underutilized, largely due to the complexities involved in analyzing them synergistically. To characterize the inconsistencies and bridge the gap that exists between the sensors, we have established a Multi-sensor Aerosol Products Sampling System (MAPSS), which consistently samples and generates the spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of aerosol products from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS. Samples of satellite aerosol products are extracted over Aerosol Robotic Network (AERONET) locations as well as over other locations of interest such as those with available ground-based aerosol observations. In this way, MAPSS enables a direct cross-characterization and data integration between Level-2 aerosol observations from multiple sensors. In addition, the available well-characterized co-located ground-based data provides the basis for the integrated validation of these products. This paper explains the sampling methodology and concepts used in MAPSS, and demonstrates specific examples of using MAPSS for an integrated analysis of multiple aerosol products.

scholarly journals 22 Year Solar Magnetic Cycle and its relation to Convection Zone Dynamics

2018 ◽  
Vol 13 (S340) ◽  
pp. 9-10 ◽  
Author(s):  
Kiran Jain ◽  
Sushanta Tripathy ◽  
Rudolf Komm ◽  
Frank Hill ◽  
Rosaria Simoniello
Keyword(s):  
Convection Zone ◽  
Magnetic Cycle ◽  
Solar Magnetic Cycle ◽  
Local Properties ◽  
Global And Local

AbstractUsing continuous observations for 22 years from ground-based network GONG and space-borne instruments MDI onboard SoHO and HMI onboard SDO, we report both global and local properties of the convection zone and their variations with time.

scholarly journals System dynamics models as decision-making tools in agritourism

Agricultura ◽  
2016 ◽  
Vol 13 (1-2) ◽  
pp. 5-10 ◽  
Author(s):  
Tadeja Jere Jakulin
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Social Factors ◽  
Qualitative And Quantitative ◽  
Causal Connections ◽  
Local Properties ◽  
Dynamics Models ◽  
Global And Local ◽  
And Training ◽  
Develop System

Abstract Agritourism as a type of niche tourism is a complex and softly defined phaenomenon. The demands for fast and integrated decision regarding agritourism and its interconnections with environment, economy (investments, traffic) and social factors (tourists) is urgent. Many different methodologies and methods master softly structured questions and dilemmas with global and local properties. Here we present methods of systems thinking and system dynamics, which were first brought into force in the educational and training area in the form of different computer simulations and later as tools for decision-making and organisational re-engineering. We develop system dynamics models in order to present accuracy of methodology. These models are essentially simple and can serve only as describers of the activity of basic mutual influences among variables. We will pay the attention to the methodology for parameter model values determination and the so-called mental model. This one is the basis of causal connections among model variables. At the end, we restore a connection between qualitative and quantitative models in frame of system dynamics.

Effect of pressure on the global and local properties of cubic perovskite crystals

2011 ◽  
Vol 84 (2) ◽  
pp. 025704 ◽  
Author(s):  
Tarik Ouahrani ◽  
I Merad-Boudia ◽  
H Baltache ◽  
R Khenata ◽  
Z Bentalha
Keyword(s):  
Effect Of Pressure ◽  
Local Properties ◽  
Global And Local

scholarly journals Introducing the MISR level 2 near real-time aerosol product

2021 ◽  
Vol 14 (8) ◽  
pp. 5577-5591
Author(s):  
Marcin L. Witek ◽  
Michael J. Garay ◽  
David J. Diner ◽  
Michael A. Bull ◽  
Felix C. Seidel ◽  
...  
Keyword(s):  
Real Time ◽  
Atmospheric Aerosols ◽  
Predictive Skill ◽  
Aerosol Retrieval ◽  
Improve Model ◽  
Operational Forecasting ◽  
Military Applications ◽  
Aerosol Modeling ◽  
Earth’S Climate ◽  
Level 2

Abstract. Atmospheric aerosols are an important element of Earth's climate system and have significant impacts on the environment and on human health. Global aerosol modeling has been increasingly used for operational forecasting and as support for decision making. For example, aerosol analyses and forecasts are routinely used to provide air quality information and alerts in both civilian and military applications. The growing demand for operational aerosol forecasting calls for additional observational data that can be assimilated into models to improve model accuracy and predictive skill. These factors have motivated the development, testing, and release of a new near real-time (NRT) level 2 (L2) aerosol product from the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra platform. The NRT product capitalizes on the unique attributes of the MISR aerosol retrieval approach and product contents, such as reliable aerosol optical depth as well as aerosol microphysical information. Several modifications are described that allow for rapid product generation within a 3 h window following acquisition of the satellite observations. Implications for the product quality and consistency are discussed and compared to the current operational L2 MISR aerosol product. Several ways of implementing additional use-specific retrieval screenings are also highlighted.

Access to Global and Local Properties in Visual Search for Compound Stimuli

1995 ◽  
Vol 6 (5) ◽  
pp. 283-291 ◽  
Author(s):  
James T. Enns ◽  
Alan Kingstone
Keyword(s):  
Visual Search ◽  
Search Task ◽  
Visual Search Task ◽  
Local Level ◽  
The Novel ◽  
Target Feature ◽  
Compound Stimuli ◽  
Element Size ◽  
Local Properties ◽  
Global And Local

The question of whether attention is drawn more easily to global or local aspects of a stimulus has been debated for more than 100 years We examined it anew, using the visual search task, which distinguishes sensory from attentional effects Subjects searched for a target feature (e g, triangle vs square), which was equally likely to occur in the local elements of a compound search item, in its global structure, or in both Element size and spacing were used to manipulate whether search was generally easier for local or global targets (e g, small size and dense spacing favor global detection) The novel result was that these factors had very little influence on search slopes for local targets, whereas they had large effects on search slopes for global targets This result suggests that a qualitatively different process underlies detection at the global level in traditional compound stimuli Our proposal that an attention-demanding grouping stage is involved was confirmed in a final experiment in which grouping was made selectively difficult at the local level

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