'Glm' presentation slideshows

19 January 2018 GOES-R Calibration Working Group (CWG)

Peer Stakeholder-Product Validation Review (PS-PVR) For the Provisional Maturity of GOES-16 GLM L2 Lightning Product. 19 January 2018 GOES-R Calibration Working Group (CWG). William Koshak 1 , Pete Armstrong 2 , Doug Mach 3 , Dennis Buechler 4 , Monte Bateman 3

692 views • 68 slides

GOES-17 Geostationary Lightning Mapper (GLM) Provisional PS-PVR ( CLOSURE )

GOES-17 Geostationary Lightning Mapper (GLM) Provisional PS-PVR ( CLOSURE ). December 20, 2018 William Koshak 1 , Pete Armstrong 2 , Doug Mach 3 , Dennis Buechler 4 , Monte Bateman 3 (with important inputs from additional Cal/Val Team Members, & NASA Flight) GOES-R Calibration Working Group

489 views • 47 slides

3D Game Programming Geometric Transformations

3D Game Programming Geometric Transformations. Ming- Te Chi Department of Computer Science, National Chengchi University. Outline. Geometric Transformations ( 4ed ch4 ) ( 5 th ch4 ) Basic transformation The coordinates Hierarchy transformation. Transformation Terminology. Viewing

634 views • 35 slides

1. FY09 GOES-R3 Project Proposal Title Page

1. FY09 GOES-R3 Project Proposal Title Page. Title : GOES-R Risk Reduction for the Geostationary Lightning Mapper Project Type : Product Development Status : Continuation Duration : 1 year Leads: Richard Blakeslee, William Koshak (NASA/MSFC) Co-managers

437 views • 27 slides

GOES-16 GLM Implementation in NWS

GOES-16 GLM Implementation in NWS. NWS/OBS Update to Full Validation PS-PVR November 1 , 2018. Outline. NWS GLM Implementation Team Currently Fielded products in AWIPS-2 Gridded GLM Products Description Laboratory/Testbed Activities NWS Field-wide Operational Roll-out

283 views • 27 slides

Functional Brain Signal Processing: EEG & fMRI Lesson 14

M.Tech. (CS), Semester III, Course B50. Functional Brain Signal Processing: EEG & fMRI Lesson 14. Kaushik Majumdar Indian Statistical Institute Bangalore Center kmajumdar@isibang.ac.in. http://psuc5d.files.wordpress.com/2012/02/bennett-salmon-2009.jpeg. Why Statistics in fMRI?.

258 views • 24 slides

338 views • 18 slides

Homework Helpers

Homework Helpers. Content. OFF files STL: vector, algorithm Model loaders: OBJ, 3DS. OFF Format. Geomview Object File Format Model archives ( 1 , 2 ). OFF Reference. STL:vector. Iterators: begin(), end() Size(), operator[] Modifiers: push_back(..), pop_back(),

260 views • 17 slides

GOES-R Proving Ground Storm Prediction Center and Hazardous Weather Testbed

GOES-R Proving Ground Storm Prediction Center and Hazardous Weather Testbed. Demonstrating the Pseudo-GLM (PGLM) in Operations. Chris Siewert 1,2 , Kristin Calhoun 1,3 and Geoffrey Stano 4 1 - OU-CIMMS, 2 - NOAA/NCEP/SPC, 3 - NSSL, 4 - NASA SPoRT GLM Science Meeting 9/20/2012.

296 views • 16 slides

The NASA Short-term Prediction Research and Transition (SPoRT) Center

The NASA Short-term Prediction Research and Transition (SPoRT) Center. GOES-R Proving Ground Update 1 July 2013. Contributions from: Kevin Fuell, Geoffrey Stano, Matt Smith, Gary Jedlovec. General Outline - SPoRT Status Report: Total Lightning Pseudo GLM and Tracking Tool at HWT

248 views • 15 slides

239 views • 15 slides

Proving Ground Activities with Aviation Weather Center, Storm Prediction Center and NASA SPoRT

Proving Ground Activities with Aviation Weather Center, Storm Prediction Center and NASA SPoRT. Geoffrey Stano Amanda Terborg Christopher Siewert. GLM Science Meeting Huntsville, Alabama 20 September 2012. Origin of Collaboration. SPoRT has been a PG partner since 2009

282 views • 14 slides

Plans for GOES-17 GLM in NWS

Plans for GOES-17 GLM in NWS. NWS/OBS Update to GOES-17 GLM Provisional PS-PVR December 3, 2018. NWS has not yet evaluated the GOES-17 GLM data GOES-17 focus to date has been on establishment and evaluation of GOES-17 KPP/ABI flows

117 views • 10 slides

Assimilation of GLM data using HVEDAS

Assimilation of GLM data using HVEDAS. Title : Utility of GOES-R Geostationary Lightning Mapper (GLM) using hybrid variational-ensemble data assimilation in regional applications Lead: Milija Zupanski, CIRA Main Participants : Louie Grasso, CIRA John Knaff, STAR/RAMMB

186 views • 3 slides