1 / 17

NMQ/Q2 Reanalysis in the southeastern United States

NMQ/Q2 Reanalysis in the southeastern United States. Scott E. Stevens – CICS-NC, NC State University, NCDC Brian R. Nelson – NCDC Carrie L. Langston – CIMMS, University of Oklahoma, NSSL Ryan Boyles – NC State Climate Office, NC State University. Outline. Motivation

vwisneski
Download Presentation

NMQ/Q2 Reanalysis in the southeastern United States

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. NMQ/Q2 Reanalysis in the southeastern United States Scott E. Stevens – CICS-NC, NC State University, NCDC Brian R. Nelson – NCDC Carrie L. Langston – CIMMS, University of Oklahoma, NSSL Ryan Boyles – NC State Climate Office, NC State University

  2. Outline • Motivation • Why is this product needed? • Product Introduction • Process description • Generated fields • Pilot Project • Sample Output • Next Steps and Long-Term Goals

  3. Objective • NOAA does not maintain a high-resolution precipitation product • Impacts modeling, forecasting, flood guidance, etc. • Currently available products have limitations • Spatial Resolution • Temporal Frequency • Accuracy • NMQ/Q2 represents a significant step in precipitation estimates

  4. Current State of Precipitation Estimates • Global Precipitation Climatology Project (GPCP) • 1 day x 100 km • TRMM 3B42 • 3 hours x 25 km • MPE • 1 hour x approx. 4 km • Gauge-based precipitation estimates • 1 hour – 1 day x approx. 20 km

  5. NMQ/Q2: Next Generation QPE • Developed at the National Severe Storms Laboratory (NSSL) in Norman, OK • Research/Development arm of NOAA • Multi-sensor estimate of precipitation • Primarily surface radar-based • Incorporates RUC model data and gauge networks • Represents significant step in resolution • 0.01 degree (1 km spatial resolution) • 5-minute temporal resolution

  6. MPE Resolution Courtesy: NC State Climate Office

  7. NMQ/Q2 Resolution

  8. Q2 Pilot Project (1998-2010)

  9. Q2 Process • WDSS-II (Warning Decision Support System – Integrated Information) • Used for pre-processing • Performs QC and cartesian mapping on raw Level 2 data • NMQ (National Mosaic and Multi-Sensor QPE) • Performs analysis on gridded data to generate value-added products (bright band, hail statistics, VPR) • Q2 (Next-generation QPE) • Final step of NMQ process, generates precip estimates

  10. Q2 Output • Provides precipitation estimates at 1-km resolution every five minutes • Three-dimensional radar reflectivity • Various value-added products • Echo Tops • Bright band heights • Vertically integrated liquid, etc.

  11. Sample Output

  12. Sample Output

  13. The Next Steps • Immediate next step is assessment of output • Comparison with other data sources • Gauge data sets (Co-Op, CRN, etc.) • TRMM/GPCP data • MPE • Performance in different scenarios • Night vs. Day • Mountains vs. Plains • Coastal vs. Inland • Convective vs. Stratiform • Incorporate gauge calibration and terrain adjustment

  14. Long-Term Challenge • Ultimate goal is expansion from pilot domain to cover ConUS • Existing data for pilot domain currently taking up approximately 20 TB • Took a few weeks to move out of NCDC archive to Renci • Processing took approximately 12 weeks of computing time • There are approx. 140 NEXRAD sites in ConUS • Over 200 TB of data to be moved and processed • Output size much smaller, approx. 60-80 GB for QPE

  15. Applications • If product is made operational • High-resolution precipitation estimates at near real-time • Flash flood guidance at 1 km resolution • Short-term hydrology forecasting • Research Applications • Endless possibilities for climatological studies • Orographic influence • Tropical cyclone precipitation contribution • Contributions from individual storm events

  16. The Goal • Archived Precipitation Estimates • Full reanalysis of all US NEXRAD data for period of record • Put in NCDC archive as climate data record for future research in other applications • Using reanalysis mode to provide feedback to NSSL • Can be quickly reprocessed under different circumstances • Identify strengths and limitations to improve product

  17. Acknowledgments • Katherine Willingham – CIMMS/NSSL for technical support with WDSS-II • Howard Lander at UNC RENCI for support with computing cluster • Steve Ansari at NCDC for visualization support • NC State Climate Office at NCSU for input on this presentation

More Related