Environmental Observing Systems
WIFIRE: A Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience Cyberinfrastructure for Wildfires
The University of California at San Diego is awarded a grant to build an end-to-end cyberinfrastructure, called WIFIRE, for real-time and data-driven simulation, prediction and visualization of wildfire behavior.
EAGER: Wildfire Modeling and Prevention Initiative: Developing a Technical Framework for Integrating Research with Public Policy Decision Support
The need for descriptive and predictive simulation tools to support wildfire prevention, or suppression during future wildfire events, is becoming critical.
Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis
The CAMERA (Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis) community database for metagenomic data deposition is an important first step in developing methods for monitoring microbial communities.
Designing the Next Generation Cyber-infrastructure to Operate Interactive Ocean Observatories
This project involves research and experimentation with cyberinfrastructure components in order to develop and prototype new approaches to information technology for ocean observing systems.
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
Altintas, Ilkay, et al. "Towards a dynamic composability approach for using heterogeneous systems in remote sensing." 2022 IEEE 18th International Conference on e-Science (e-Science). IEEE, 2022.
Creating a 3D microbial and chemical snapshot of a human habitat
Nature Scientific Reports, vol.8: 3669. (2018).
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires
Procedia Computer Science, vol. 51, pp 1633-1642. (2015).![Participatory sensing: applications and architecture [Internet Predictions]](https://lsmarr.net/wp-content/uploads/2025/01/participatory_sensing-750x550.png.webp)
Participatory sensing: applications and architecture [Internet Predictions]
D. Estrin, K. M. Chandy, R. M. Young, L. Smarr, A. Odlyzko, D. Clark, V. Reding, T. Ishida, S. Sharma, V. Cerf, U. Holzle, L. A. Barroso, G. Mulligan, A. Hooke, C. Elliott in IEEE Internet Computing, 14, 12-42 (2010).
Building an OptIPlanet collaboratory to support microbial metagenomics
Future Generation Computer Systems, Volume 25, Issue 2, pp. 124-131. February 2009.
CAMERA: A Community Resource for Metagenomics
R. Seshadri, SA Kravitz, L Smarr , Gilna P, M Frazier, PLoS Biol 5(3): e75.(2007).
LOOKING: Cyberinfrastructure For Ocean Observatories
Proceedings of SSC’06- the Fourth International Workshop on Scientific Use of Submarine Cables and Related Technologies, Feb 8-10, 2006
A Management Concept For Ocean Observatories Based On Web Services
Alan Chave, Bill St. Arnaud, Mark Abbott, John Delaney, Ron Johnson, Ed Lazowska, Andrew Maffei, John Orcutt, and Larry Smarr. In Oceans ’04, 2187-2193. (2004).
The Emerging Role Of Biogrids
Mark Ellisman, Michael Brady, David Hart, Fang-Pang Lin, Matthias Muller, Larry Smarr, Comm. ACM, 47 (11) 52-57 (2004).
An Integrated Approach To Ocean Observatory Data Acquisition/Management And Infrastructure Control Using Web Services
Bill St. Arnaud, Alan Chave, Andrew Maffei, Ed Laszowka, Larry Smarr, Ganesh Gopalan, Mar. Tech. Soc. J., 38, 155-163, 2004.
The Use Of E-Science Grids To Support ORION
International Science Planning Workshop on the Dynamics of Earth and Ocean Systems (DEOS): Ocean Research Interactive Observatory Networks (ORION), January 4-8, 2004, Puerto Rico. (2004).
Professor de Callafon helps build cyber-infrastructure to aid wildfire hazard assessment and response – MAE News
The system will integrate networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread.WIFIRE: Technology to Predict and Prevent the Spread of Wildfires
Researchers at UC San Diego are working on cutting edge technology to combat the constant threat of wildfires in California.
Firefighters Look to Supercomputers to Combat Wildfires – Spectrum News 1
“Just to imagine what kind of computations are taking place here. It’s mind-blowing,” Ilkay Altintas, Chief Data Science Officer at the San Diego Supercomputer Center, told Spectrum News 1.
Technology Projects to Combat California Wildfires Are Recognized with CENIC Innovation Award
In recognition of work to bring advanced IT and telecommunications to the fight to contain California wildfires, the WIFIRE, HPWREN, and AlertTahoe projects have been selected as recipients of the CENIC 2018 Innovations in Networking Award for Experimental Applications.
UC San Diego Achieves a Hat Trick with 2014 HPCwire Awards – JSOE News
The San Diego Supercomputer Center at the University of California, San Diego, has achieved a hat trick in garnering three awards for its university-wide WIFIRE project as part of the annual HPCwire Readers’ and Editors’ Choice Awards presented at the 2014 International Conference for High Performance Computing, Networking, Storage and Analysis (SC14), in New Orleans, Louisiana.Firefighters get high tech to douse wildfires – PBS News
University of California San Diego computer scientists stitch together information from weather sensors and satellite images to predict where wildfires are moving in real time. All of the images and data is fed into a supercomputer and creates a network of real-time wildfire information. Their cyber infrastructure system, called WIFIRE, analyzes the information to forecast where the fire will move
WIFIRE project helps firefighters get a jump on wildfires – UC News
Now, thanks to a multi-year, $2.65 million grant from the National Science Foundation (NSF), the University of California San Diego, and the University of Maryland have been building a cyberinfrastructure to better monitor, predict, and mitigate wildfires in the future.
UC San Diego, UMD Researchers to Build ‘WIFIRE’ Cyberinfrastructure – UC San Diego Today
Three research organizations at the University of California, San Diego, have been awarded a multi-year National Science Foundation (NSF) grant to build an end-to-end cyberinfrastructure to perform real-time data-driven assessment, simulation, prediction, and visualization of wildfire behavior.
UC San Diego Recieves NSF Support for Wildfire Modeling and Prevention – East County Magazine
Wildfires are increasing in both absolute number and severity in the American southwest and this trend is predicted to continue over decades to come. Wildfire prevention has now become a major priority, and scientists at the University of California, San Diego have received federal funding to devise descriptive and predictive simulation tools to help prevent or suppress wildfires.
Wildfire Modeling and Prevention – Newswise
With a one-year grant* from the National Science Foundation (NSF) Office of Cyberinfrastructure, effective June 1, the UC San Diego researchers have opened a new phase for their SDFireSight project. They will develop a technical framework and computer models that will simulate the conditions that can spark a wildfire in San Diego’s ‘backcountry’.