<--- Back to Details
First PageDocument Content
Radius / Physics / Space / Dimension / Physical quantities / Hurricane Weather Research and Forecasting model / Intensity
Date: 2014-11-26 17:03:16
Radius
Physics
Space
Dimension
Physical quantities
Hurricane Weather Research and Forecasting model
Intensity

HFIP Efforts at NESDIS/CIRA Team Members: Kate Musgrave, Andrea Schumacher, Louie Grasso, Jack Dostalek (CIRA); Wayne Schubert, Christopher Slocum (CSU); John Knaff (NESDIS/StAR/RAMMB) Areas of current work:

Add to Reading List

Source URL: www.hfip.org

Download Document from Source Website

File Size: 1,39 MB

Share Document on Facebook

Similar Documents

PDF Document

DocID: 1xwMq - View Document

Exercise 2: Flirting with Synchrony and Asynchrony Task 1: Growing Balls Denote by B(v, r) the ball of radius r around v, i.e., B(v, r) = {u ∈ V : dist(u, v) ≤ r}. Consider the following partitioning algorithm. Algor

Exercise 2: Flirting with Synchrony and Asynchrony Task 1: Growing Balls Denote by B(v, r) the ball of radius r around v, i.e., B(v, r) = {u ∈ V : dist(u, v) ≤ r}. Consider the following partitioning algorithm. Algor

DocID: 1voTn - View Document

referenceUSA FREE for small- business owners/entrepreneurs Select a location and do a radius

referenceUSA FREE for small- business owners/entrepreneurs Select a location and do a radius

DocID: 1veax - View Document

(b) Perform a sample calculation to find out what radius the pipe should have to make the fluid inertia of the pipe have the same effect on the effective mass of the system as the mass of the ram and load mass. Use the f

(b) Perform a sample calculation to find out what radius the pipe should have to make the fluid inertia of the pipe have the same effect on the effective mass of the system as the mass of the ram and load mass. Use the f

DocID: 1vcdf - View Document

Convex formulations of radius-margin based Support Vector Machines Huyen Do Computer Science Department, University of Geneva, Switzerland

Convex formulations of radius-margin based Support Vector Machines Huyen Do Computer Science Department, University of Geneva, Switzerland

DocID: 1v6Gr - View Document