'Wind vector' presentation slideshows

Using real-time data to investigate socio-economic issues

Using real-time data to investigate socio-economic issues. Background. Humans have recognized the impact of atmospheric parameters on crops, fisheries, even their health. SOI. Southern Oscillation Index Indicator of the strength of the Southern Oscillation

468 views • 46 slides

S/K Challenge Demonstration Information and Planning Makeup Meeting

S/K Challenge Demonstration Information and Planning Makeup Meeting US Army Dugway Proving Ground. Presented 03 Jun 2014. Unclassified. S/K Challenge. 2. Unclassified. Purpose.

710 views • 44 slides

WindSat Mission Overview and Status

WindSat Mission Overview and Status. Peter Gaiser Remote Sensing Division, Code 7220 Naval Research Laboratory Washington DC peter.gaiser@nrl.navy.mil 05 June 2006. WindSat - Mission Overview. Overview :

535 views • 34 slides

AT737

AT737. Winds. Importance. To forecast the weather, one must know the mass field, the humidity field, and the flow field. The first two were covered in the last two lectures. Winds are the topic of this lecture. Outline. Winds from soundings Cloud and vapor tracking Ocean surface winds

427 views • 28 slides

Status of the GCOM mission and the important role of scatterometer

Status of the GCOM mission and the important role of scatterometer. Haruhisa Shimoda 1, 2 , Keiji Imaoka 1 , and Akira Shibata 1 1 Japan Aerospace Exploration Agency 2 Tokay University Research and Information Center Satellite Measurements of Ocean Vector Winds:

388 views • 26 slides

254 views • 25 slides

CHAPTER 2. VERTICAL STRUCTURE OF THE ATMOSPHERE

vacuum. h. A. B. CHAPTER 2. VERTICAL STRUCTURE OF THE ATMOSPHERE. Measurement of atmospheric pressure with the mercury barometer:. Atmospheric pressure P = P A = P B = r Hg gh. Mean sea-level pressure: P = 1.013x10 5 Pa = 1013 hPa

679 views • 23 slides

SAR remote sensing of open mesoscale cellular convection

SAR remote sensing of open mesoscale cellular convection T.D. Sikora 1 , G.S. Young 2 , C.M. Fisher 2 , and M. Stepp 1 1 Millersville University 2 The Pennsylvania State University. Introduction

341 views • 23 slides

Profiling the ABL using a Small Unmanned Meteorological Observer (SUMO) - Wind measurements -

297 views • 20 slides

True Wind

205 views • 20 slides

333 views • 19 slides

True Wind

573 views • 18 slides

True Wind

185 views • 18 slides

DOPSCAT

305 views • 16 slides

GlamEps: Current and future use in operational forecasting at KNMI

GlamEps: Current and future use in operational forecasting at KNMI. Adrie Huiskamp. Outline. GlamEps: Overview Data visualisation First user impressions Objective probabilistic guidance for weather warnings Improving the data Probabilistic user products. GlamEps overview.

280 views • 13 slides

Improved High Wind Retrievals from ASCAT Wind Vector Measurements

CMOD5n B 0. Input ? 0 values. Pre-processing. aft. EUMETSAT. vs wind speed. Inversion using CMOD5n GMF. Cumulative distribution curve. Cumulative distribution curve. New B 0. mid. 2 m/s reference line. 2 m/s reference line. U 10Nsat =61.5 m/s. B 0. Quality Control.

155 views • 1 slides