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Understanding AMV errors using a simulation framework

Understanding AMV errors using a simulation framework

Understanding AMV errors using a simulation framework. Peter Lean 1* Stefano Migliorini 1 and Graeme Kelly 2 * EUMETSAT Research Fellow, 1 University of Reading, UK 2 Met Office, UK EUMETSAT Fellow Day March 17 th , 2014. Background: Atmospheric Motion Vectors (AMVs).

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461 views • 39 slides
Reprocessing of atmospheric motion vectors at EUMETSAT

Reprocessing of atmospheric motion vectors at EUMETSAT

Reprocessing of atmospheric motion vectors at EUMETSAT. M. Doutriaux-Boucher, R. Huckle , A. Lattanzio, J. Schulz. ERA-CLIM(2). European Reanalysis of Global Climate Observations. EUMETSATs contribution, reprocessing of: AVHRR Atmospheric Motion Vectors ( ) Radio Occultation bending angles

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319 views • 31 slides
Constructing Convex 3-Polytopes From Two Triangulations of a Polygon

Constructing Convex 3-Polytopes From Two Triangulations of a Polygon

Constructing Convex 3-Polytopes From Two Triangulations of a Polygon. Benjamin Marlin Dept. of Mathematics & Statistics McGill University. Godfried Toussaint School of Computer Science McGill University. Introduction. A configuration (P,T 1 ,T 2 ):.

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417 views • 25 slides
Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS Winds During MOWSAP

Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS Winds During MOWSAP

Impact Experiments on GMAO Data Assimilation and Forecast Systems with MODIS Winds During MOWSAP. Lars Peter Riishojgaard Yan-Qiu Zhu Global Modeling and Assimilation Office NASA Goddard Space Flight Center. Presented by Ron Gelaro, NASA/GMAO. MODIS winds.

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316 views • 16 slides
VALUE OF FUTURE GOES TO NAVY OPERATIONS

VALUE OF FUTURE GOES TO NAVY OPERATIONS

VALUE OF FUTURE GOES TO NAVY OPERATIONS. CAPT Mike Pind Asst. Chief-of-Staff for Plans and Programs HQ, NAVAL METEOROLOGY AND OCEANOGRAPHY COMMAND STENNIS SPACE CENTER, MS. NAVY METOC SATELLITE PLAYERS. Requirements/Sponsors CNO N096: Oceanographer of the Navy

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222 views • 12 slides
IWW10

IWW10

IWW10. Hosted by JMA, Tokyo, Japan, 22-26 February 2010 46 participants. Sessions. SESSION 1: Operational status SESSION 2: AMV derivation SESSION 3: AMVs in NWP SESSION 4: Characterising AMVs SESSION 5: Polar AMVs SESSION 6: Mesoscale SESSION 7: MISR and ADM

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361 views • 6 slides
Algorithm and Software Development of Atmospheric Motion Vector Products for the GOES-R ABI

Algorithm and Software Development of Atmospheric Motion Vector Products for the GOES-R ABI

15 x 15 Target Scene Radiances. Strong gradients, potential targets. X. Image of GOES-12 11um pixel-level gradient magnitude used in target selection. Image of corresponding GOES-12 11um Brightness Temperatures.

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97 views • 1 slides
1. Introduction

1. Introduction

21. 15. 9. 5. 21. 15. 9. 5. Atmospheric Motion Vectors Derived via a New Nested Tracking Algorithm Developed for the GOES-R Advanced Baseline Imager Jaime Daniels 1 , Wayne Bresky 2 , Steve Wanzong 3 , Andrew Bailey 2 and Chris Velden 3

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89 views • 1 slides
1. Introduction

1. Introduction

21. 15. 9. 5. 21. 15. 9. 5. Atmospheric Motion Vectors Derived via a New Nested Tracking Algorithm Developed for the GOES-R Advanced Baseline Imager Jaime Daniels 1 , Wayne Bresky 2 , Steve Wanzong 3 , Andrew Bailey 2 and Chris Velden 3

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87 views • 1 slides
Algorithm and Software Development of Atmospheric Motion Vector Products for the GOES-R ABI

Algorithm and Software Development of Atmospheric Motion Vector Products for the GOES-R ABI

15 x 15 Target Scene Radiances. Strong gradients, potential targets. X. Image of GOES-12 11um pixel-level gradient magnitude used in target selection. Image of corresponding GOES-12 11um Brightness Temperatures.

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100 views • 1 slides
1. Introduction

1. Introduction

21. 15. 9. 5. 21. 15. 9. 5. Atmospheric Motion Vectors Derived via a New Nested Tracking Algorithm Developed for the GOES-R Advanced Baseline Imager Jaime Daniels 1 , Wayne Bresky 2 , Steve Wanzong 3 , Andrew Bailey 2 and Chris Velden 3

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84 views • 1 slides

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