PPT-Investigations of Spatial and Temporal Variability of Ocean

and Ice Conditions In and Near the Marginal Ice Zone The Marginal Ice Zone Observations and Processes EXperiment MIZOPEX Goals   Assess ocean and sea ice variability during the melt season within a key Marginal Ice Zone MIZ region . Reasons for recapping progress:. - Present advances in scientific understanding of the climate system. Demonstrate the return on investment of agency funding and interagency coordination of US CLIVAR research. Robert Wood, University of Washington. w. ith Ryan Eastman, Daniel McCoy, Daniel Grosvenor (University of Washington); Matt . Lebsock. (JPL). “Background” (minimum imposed) cloud droplet concentration influences aerosol indirect effects. Ned Bair . US Army Corps of Engineers Cold Regions Research and Engineering Laboratory. Earth Research Institute, UC - Santa Barbara. AVPRO. 9-10AM 2/27/14. 1. Campbell. , C.: Spatial variability of slab stability and fracture properties in avalanche starting zones, M.Sc., University of . Tempora. l. . and Spatial Constraints on Text Similarity. James Pustejovsky. Brandeis . University. March . 13, . 2012. Measuring Similarity. Objects. Events. Object similarity is a function of:. Sortal. Ned Bair . US Army Corps of Engineers Cold Regions Research and Engineering Laboratory. Earth Research Institute, UC - Santa Barbara. AVPRO. 9-10AM 2/27/14. 1. Campbell. , C.: Spatial variability of slab stability and fracture properties in avalanche starting zones, M.Sc., University of . Jamie M. Kneitel. Department of Biological Sciences. CSU Sacramento. Peters (2011). Spatial and temporal heterogeneity. Important in all ecosystems. Climate variation. Increasing focus on effects in natural ecosystems. Prahlad Jat. (1). and Marc Serre. (1). (1) University of North Carolina at Chapel Hill. Agenda. Introduction. Mean Trend Analysis. Space/Time Covariance Analysis. Introduction. Temporal GIS analysis process. using a floor sensor system. By: Omar Costilla- Reyes (Ph.D. student). Email: . omar.costillareyes@manchester.ac.uk. Sensing, Imaging and Signal Processing Group. School of Electrical and Electronics Engineering. Global offset and residual covariance. ENVR 468. Prahlad. . Jat. and Marc . Serre. Agenda. Why use a global offset?. How is the global offset calculated ?. Remove the global offset from data. Effect of global offset on covariance. -. Julian Oscillation. . . Toshiaki . Shinoda (Texas A&M . Univ.,. . Corpus Christi), . Weiqing. . Han (Univ. . of Colorado. ). ,. . Yuanlong. . Li (Univ. . of Colorado), . Chunzai. Wang (NOAA/AOML. trend of mother to child HIV transmission in . western . Kenya, . 2007-2013. Anthony Waruru. , Thomas Achia, . Hellen . Muttai, . Lucy . Ng’ang’a, . Abraham . Katana, . Peter . Young, . Jim . Tobias, Peter Juma, . Steven E. Lohrenz. University of Southern Mississippi. Gary Kirkpatrick. Mote Marine Laboratory. Oscar Schofield. Rutgers University. Overview. Introduction. Application of satellite ocean color to HAB detection. Kim A. cheek and . caroline. George. College of education and human services. University of north . florida. Defining Scale*. Spatial, temporal, or numeric . magnitude . of an object or event; measurable in standard or nonstandard units:. Raghu Machiraju. Firdaus. . Janoos. , Fellow, Harvard Medical. Istavan. (. Pisti. ) . Morocz. , . Instuctor. , Harvard . Medical. Premise. Understanding the mind not only requires a comprehension of the workings of low–level neural networks but also demands a detailed map of the brain’s functional architecture and a description of the large–scale connections between populations of neurons and insights into how relations between these simpler networks give rise to higher–level thought.