@article{7975c2ae319143c281776950bee357c3,
title = "CASA and LEAD: Adaptive cyberinfrastructure for real-time multiscale weather forecasting",
abstract = "Two closely linked projects aim to dramatically improve storm forecasting speed and accuracy. CASA is creating a distributed, collaborative, adaptive sensor network of low-power, high-resolution radars that respond to user needs. LEAD offers dynamic workflow orchestration and data management in a Web services framework designed to support on-demand, real-time, dynamically adaptive systems.",
keywords = "CASA, Grid computing, LEAD, Multiscale modeling, System-evel science, Weather Forecasting, Web services",
author = "Beth Plale and Dennis Gannon and Jerry Brotzge and Kelvin Droegemeier and Jim Kurose and David McLaughlin and Robert Wilhelmson and Sara Graves and Mohan Ramamurthy and Clark, {Richard D.} and Sepi Yalda and Reed, {Daniel A.} and Everette Joseph and V. Chandrasekar",
note = "Funding Information: CASA is supported in part by the Engineering Research Centers Program of the National Science Foundation under NSF Cooperative Agreement no. EEC-0313747, and LEAD is supported by Cooperative Agreements ATM-0331594, ATM-0331591, ATM-0331574, ATM-0331480, ATM-0331579, ATM-0331586, ATM-0331587, and ATM-0331578. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect those of the National Science Foundation.",
year = "2006",
month = nov,
doi = "10.1109/MC.2006.375",
language = "English (US)",
volume = "39",
pages = "56--64",
journal = "Computer",
issn = "0018-9162",
publisher = "IEEE Computer Society",
number = "11",
}