110 likes | 124 Views
NCWF-2 aims to provide 0-6hr probability forecasts by combining automation, NWP, and forecaster input to improve strategic planning and decision-making.
E N D
NCWF Plans Cindy Mueller (NCAR) Steve Weygandt (FSL) Marilyn Wolfson (MIT/LL), Barb Brown (NCAR), and Jesse Sparks (AWC) Goal: 0-6hr Probablistic Forecasts that combine automation, NWP, and forecaster input Photo courtesy of Gregg Thompson
NCWF DemonstrationsProbability Forecasts (strategic planning) • NCWF-2 • 1 & 2-h observation based • Radar mosaics, lightning, & RUC • ExADDs • NCAR • Extended NCWF (E-NCWF) • 2, 4 & 6-h RUC based • WWW page (next summer) • FSL/NOAA • Future • Fused observations, NWP and forecaster, 0-6 hr forecast • Test in summer 05 NCWF-2 19z + 2h E-NCWF
NCWF-2 Operational NCWF NCWF-2 • 1-2 hr probability forecasts • Capture regions of growth • Trend dissipation • 1 hr Extrapolation (cyan) • Binary yes/no
Large-scale Trending of Dissipation Black contours NCWD verification observation 1-hr without Trending 1-hr with Trending 2-hr without Trending 2-hr with Trending CSI 1-hr Forecast Black – Without trending Magenta – With trending
CIWS VIL 11 Z NCWF-2 10z + 1h NCWF-2 09z + 2h E-NCWF, NCWF-2, and Forecaster Input July 14, 2004 Valid - 11Z Forecaster: - Strong upper-tropospheric divergence over the western NY/PA, weak low-level jet and warm-air advection provides additional forcing, thus elevated convection likely to persist throughout the early morning hours.
Finally One Last Slide…PROBABILITIES • Forecaster/developer perspective • Quantify uncertainty • Provide a methodology (or common unit) to combine observational-based forecasts with NWP. • Requires additional research to better quantify predictability of convective events and associated environmental processes. • User perspective • Calibrate decisions based on probability and risk • Maps of probabilities of convection alone not entirely useful (information about echo tops or convective organization very helpful) • Verification • Problems that arise in current verification techniques due to off-set errors and difference in scales between forecast and observations are not alleviated by probability forecasts.