PPT-GOES-R Cloud and Microphysical Products, Fog and Low Stratus

Andy Heidinger Michael Pavolonis NOAA STAR Patrick Minnis NASA Langley Research Center Andi Walther Scott Lindstrom University of WisconsinMadison CIMSS Cooperative Institute for Meteorological Satellite Studies. The fog concept was based on a case study Coming out of the fog The fog concept was tested alongside the boxer concept and had a signi64257cant impact on most participants regardless of age or gender Initial comments tended to focus on the fog image Carl Sandburg. The fog comes. on . little cat feet.  . It . sits . looking. over . harbor and . city. on . silent . haunches. and . then moves on.  . Reading Check . & Interpretations. What type of figurative language device does Sandburg use to compare fog to a cat?. and . Sky Conditions. S4E3. Students will differentiate between the states of water and how they relate to the water cycle and weather.. e. Investigate different forms of precipitation and sky conditions (rain, snow, sleet, hail, clouds, and fog).. Cumulus Clouds. Stratocumulus. Layered but puffy clouds at lower to mid elevations. Cumulus Clouds. Altocumulus. Thick puffy clouds that can be found at middle elevations. Cumulus Clouds. Cirrocumulus. Stratus. Stratus clouds are low sheets of gray clouds that cover the sky. . Nimbostratus. Stratus can change into nimbostratus clouds. These clouds bring periods of rain. Any cloud with “nimb” in its name is a rain cloud. . Cirrus. Feathery or tufted. Looks like horse tails. Are found between 6000 and 12,000 meters. Made of ice crystals. May be followed by rain or snow. Cirrus. Stratus. Means sheets or layers. Flat, gray clouds that cover the whole sky. AWIPS/AWIPS2 Examples and Product Information. GOES-EAST MVFR Probability. AWIPS. AWIPS2. This is the probability that the cloud ceiling is below 3000 . ft. and/or the surface visibility is less than 5 mi. Kirak. Hong, David . lillethun. , . umakishore. Ramachandran, . beate. . ottenwalder. , . boris. . koldehofe. contents. Motivation. Future Internet Applications. Fog Computing. Programming Model. IoT. and Analytics. Flavio Bonomi, Rodolfo . Milito. et al. prepared by Prashanth Peddabbu. Contents . Cloud computing. Fog computing. Need for Fog in . IoT. Why cloud computing is not enough?. Why end device computing is not enough?. Andy . Heidinger. . Michael . Pavolonis. NOAA / STAR. Patrick . Minnis. NASA Langley Research Center. Andi Walther. Scott . Lindstrom. University of Wisconsin-Madison CIMSS. (Cooperative Institute for Meteorological Satellite Studies). CSS 522 Topics in Rendering. March 01,2011. Scott and Lew. Background of Fog. Method used to simulate it. Perlin's. Noise. Why . Perlin's. Noise is cool?. Rendering fog with . Perlin's. Noise. Pseudo Implementation. Professor of Meteorology. Department of Geosciences. San Francisco State University. . Steam fog . on lake surface. Lassen National Park, CA. ~ 6,000 ft. elevation. October. calm. clear night. . Steam devil . Formation of Cloud. Through the process of condensation water vapours turns into tiny water or ice particles and floats in the upper atmosphere this is the first step of cloud formation.. There after these particles transformed into larger particles and fall on earth surface from atmosphere.. Chang, . Zhangyu. Supervised by Prof. Gary Chan. 1. Contents. Introduction. System Architecture and . Comparison. Replication Schemes. Video . Access . Schemes. Case . Studies. Conclusion and Future Directions.