CAPS
CAPS Research
Energy Applications Data Assimilation and NWP Regional Climate Urban Meteorology Decision Science
Research | Publications | Presentations | REU
Our Mission

CAPS's mission is to develop and demonstrate techniques for the numerical analysis and prediction of high-impact local weather and environmental conditions, with emphasis on the assimilation of observations from Doppler radars and other advanced in-situ and remote sensing systems.

CAPS conducts a broad-based program of basic and applied storm-scale research, and its award-winning Advanced Regional Prediction System (ARPS) is used worldwide.

CAPS strives to be the world leader in convective-scale data assimilation and numerical weather prediction, providing a venue for exploring bold new ideas, attracting the best scientists and students, and facilitating the transfer of knowledge and technology to academia, government and industry.

News
  • May, 2012 The Hazardous Weather Testbed (HWT) has now started! CAPS is running it's CONUS-scale forecasts for the 2012 HWT Spring Experiment (May 7 - June 8). Daily 28 4-km ensemble forecasts (WRF-NMM, WRF-ARW, ARPS, COAMPS) are produced with forecasts out to 36 hours. Thanks to XSEDE NICS for use of Kraken, a Cray XT5. (link)
  • CAPS is assimilating surface and radar data from the CASA testbed, providing real-time 3DVAR analyses and near real-time 2-hour forecasts to stakeholders across the DFW Metroplex. (link)
  • Apr, 2012: Congratulations to CAPS' graduate student Aaron Johnson for winning the OU School of Meteorology "Outstanding Performance as a Graduate Student" award!
  • Congratulations to CAPS' graduate student Alex Schenkman for winning the OU School of Meteorology "Lilly Award for Best Ph.D. Student Paper" award!
  • On April 11, 2012, NOVA broadcast "Deadliest Tornadoes". featuring CAPS' own Dr. Jerry Brotzge.
  • Mar, 2012: CAPS becomes one of the first users nationally of 'Gordon', SDSC's new supercomputer. Gordon is named for its massive amounts of flash-based memory and is part of NSF's XSEDE program. (link)
  • Jan, 2012: Congratulations to CAPS' graduate student David Gagne! Mr. Gagne won the 2012 Wind Power Prediction Contest at AMS. David built a model using random forest data mining techniques to optimize wind power estimates from model output.