PDF-and the downscaling of large-scale data sets for regional climate appl
Author : lindy-dunigan | Published Date : 2015-09-12
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and the downscaling of large-scale data sets for regional climate appl: Transcript
Pass the. Large-scale Single-pass k-Means . Clustering. Large-scale . k. -Means Clustering. Goals. Cluster very large data sets. Facilitate large nearest neighbor search. Allow very large number of clusters. Achieve good quality. David Wallom . Overview. The problem…. Other communities. The pace of technological change. Using the data. The problem…. New telescopes generate vast amounts of data. Particularly (but not limited to) surveys (SDSS, PAN-STARRS, LOFAR, SKA…). Kamini. Yadav. Dr. Russ . Congalton. Current Process Flow Chart. Testing Protocol on Mali data. Evaluate Mali data collected in August 2015 by . Murali. , according to the flowchart made by Justin. Large Scale. Peter Guttorp. peter.guttorp@nr.no. www.stat.washington.edu. /peter. Acknowledgements. Anders . Moberg. for observed data. Erik . Kjellstr. öm. for model data. Overview. Observations. Predictions. Sharanya. . Thandra. Datasets definition. . Iris flower datasets.. Weka. , . Weka. tool. . Handling Different Datasets with . Weka. Techniques for managing large data sets.. Compression. Indexing. Advanced Atmospheric and Oceanic Science Lecture Series, NUIST . 南京. . Downscaling. : empirical and dynamical, atmosphere and . ocean. Hans von Storch. Geesthacht. , Hamburg and Qingdao. Scaling. . . . . A Comprehensive Framework for Quantitative Evaluation of Downscaled Climate Predictions and Projections. Joseph J. Barsugli. 1. , Galina Guentchev. 2. , NCPP Core and Climate Science Advisory Teams. David . Spergel. Princeton University. Center for Computational Astrophysics, Flatiron Institute. Outline. Next generation CMB experiments: Simons Observatory CMB-S4. Next generation optical/IR surveys: WFIRST. Presentation by: Mehdi Shahriari. Advisor: Guido . Cervone. Research Questions. How to use Analog Ensemble . for probabilistic weather prediction?. . What is the uncertainty associated with wind power estimates?. Platform . (NCPP) . Introduction, Status, Plans. August 23, 2011. NCPP Core Organizing Team. (Richard B. Rood, . presenting. ). Core Organizing Team . (20110823). Ammann. , Caspar. Anderson, Donald. Collecting Data in a Study. sample survey: . sample people from a population and interview them.. example. : General Social Survey . . experiment: . compare responses of subjects under different conditions, with subjects assigned to the conditions.. Extreme Events. . Robert Black, Yi Deng, . Katherine Evans*. Yun-Young Lee, Tae-Won Park, . Rebecca . Westby . School . of Earth and Atmospheric Sciences. Georgia Institute of Technology, Atlanta, . Downscaling methods:. LOCA. (Pierce et al., 2014):. Retains GCM-projected precipitation changes as a ratio. Preserves observed number of dry days in historical period. Preserves mean changes. Bias corrects for low-frequency variability. r.martinez@ciifen.org. . Centro Internacional para la Investigación del Fenómeno de El Niño . “Potential contributions of the Regional Climate Center for Western South America . to the Global .
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