PPT-Milankovitch Cycle Evolution and Uncertainty

Dave Waltham Outline C rollMilankovitch cycles Application to c yclostratigraphy EarthMoon system evolution The timevarying drag problem Timeevolution of CM cycles and their big uncertainties. sources:. sensory/processing noise. ignorance. change. consequences:. inference. learning. coding:. distributional/probabilistic population codes. neuromodulators. Multisensory Integration. +.  . apply the previous analysis:. Joseph B. Kadane. Carnegie Mellon University. kadane@stat.cmu.edu. “Prediction is difficult, especially about the future”. Niels. Bohr. Robert Storm Peterson. Yogi Berra. Samuel Goldwyn. Mark Twain. in Precipitation Data Records. Yudong Tian. Collaborators: Ling Tang, Bob Adler, George Huffman, . Xin Lin, Fang Yan, Viviana Maggioni and Matt Sapiano.  . University of Maryland & NASA/GSFC. http://sigma.umd.edu. John L. Campbell. 1. , Ruth D. Yanai. 2. , Mark B. . Green. 1,3. , Carrie . Rose . Levine. 2. , Mary Beth Adams. 1. , Douglas A. Burns. 4. ,. . Donald C. Buso. 5. , . Mark E. Harmon. 6. , Trevor Keenan. Aoife McCloskey. Supervisors: D. Shaun Bloomfield & Peter T. Gallagher. Using Sunspot . Group . Evolution . to . Forecast . Solar Flares. Most . current forecasting techniques use . point-in-time. by Angela Campbell, Ph.D. and Andrew Cheng, Ph.D.. ICRAT. Angela Campbell, Ph.D.. June 21, 2016. The findings and conclusions in this paper are those of the author(s) and do not necessarily represent the views of the FAA. environmental research. Liew Xuan Qi (A0157765N). Cheong Hui Ping (A0127945W). Hong Chuan Yin (A0155305M). Best Practice Approaches for Characterizing, Communicating, and Incorporating Scientific Uncertainty in Climate Decision Making. OUTLINE. Accelerator Pre-alignment background. Uncertainty and GUM supplement 1. PACMAN pre-alignment budgeting . CMM uncertainty modeling. Thermal uncertainty compensation and modeling. First stochastic modeling results. Manipulating symbols. Last class. Typology of signs. Sign systems. Symbols. Tremendously important distinctions for informatics and computational sciences. Computation = symbol manipulation. Symbols can be manipulated without reference to content (syntactically. Accuracy vs. Precision. What is the difference?. Accuracy vs. Precision. Precision . accuracy. Exactness. Divisions on scale. Reproducibility. Uncertainty. Significant digits. Correctness. Calibration. analytical perspective. . Roy Macarthur. roy.macarthur@fera.gsi.gov.uk. Analytical perspective. Uncertainty about quantitative measurements. Chemical, microbiological, biotechnological . analytes. .. Milankovitch Cycles. A Science Sisters Production 2017. Learning Target. I can explain the connections between the Milankovitch Cycles and the current phenomenon of global warming.. Who was . Milutin. Section 1: Observation, Describing quantities, and Estimation. Section 2: Measurement uncertainty, Error propagation, and Analytical methods. Section 1 Objectives. . Core Principles. Physics and Observation. investments. Plenary 4: Building . Organisational. capacities for tackling policy and regulatory uncertainty. Parveer. Singh . Ghuman. . Sr. Research Associate, CUTS International. Overview. Relationship between uncertainty and investment.