PPT-Continue with bias adjustments and tuning. Obtain historical NMME forecasts for a longer

Author : lois-ondreau | Published Date : 2018-02-23

Replace the GPCC climatology with the NMME climatology in the calculation of P F Preliminary analysis shows a bias of 10 mmmonth so we will need to compute spatial

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Continue with bias adjustments and tuning. Obtain historical NMME forecasts for a longer: Transcript


Replace the GPCC climatology with the NMME climatology in the calculation of P F Preliminary analysis shows a bias of 10 mmmonth so we will need to compute spatial bias corrections for each month and forecast lead . 28 to 30 30 to 32 25 to 30 22 to 23 21 to 30 22 to 35 22 to 34 18 to 24 December projection 28 to 32 30 to 34 25 to 32 22 to 24 22 to 33 22 to 36 21 to 35 18 to 25 Unemployment rate 61 to 63 56 to 59 52 to 56 52 to 56 60 to 65 54 to 59 51 to 58 52 Biased measure of association due to incorrect categorization.. Diseased. Not Diseased. Exposed. Not Exposed. The Correct Classification. Observation Bias (Information Bias). Biased measure of association due to incorrect categorization.. Integrated Energy. Low/No Cost Solutions through Building Automation System Control Technologies. James Goddard and Danny Taasevigen. Pacific Northwest National Laboratory. August 13, 2015. A . systematic process to identify and correct building operational problems that lead to energy waste. When and How to Improve Code Performance?. Ivaylo Bratoev. Telerik Corporation. www.telerik.com. Actual . vs. Perceived Performance. Example: . “Vista's file copy performance is noticeably worse than Windows XP” . Martin Köhler. DLR Oberpfaffenhofen. 8th European Conference on . Severe. . Storms – ECSS 2015. 14 – 18 September 2015, Wiener Neustadt, Austria. Adverse. . weather. . is. . responsible. . for. during November . 12-15, . 2015 and November 16-19, 2015. Robert Conrick, Qi Zhong, and Cliff Mass. University of Washington. . Pacific NW Weather Workshop 2017. Cases: November . 12-15, . 2015. Michelle L’Heureux (. NOAA CPC). ENSO Forecast team (A. . Barnston. , E. Becker, G. Bell, T. Di . Liberto. , J. Gottschalk, M. . Halpert. , Z. Hu, N. Johnson, W. Wang, Y. . Xue. ), M. . Tippett. Niño-3.4 Forecasts from the NMME. Kirstin Harnos, Michelle L’Heureux, Qin Zhang, and Qinghua Ding. Images courtesy of National Snow Ice Data Center. Current State of Sea Ice. Images courtesy of National Snow Ice Data Center. Current Events: . Dr. Jonathan Fairman. 21 April 2016. Presentation by Prof. Dave Schultz. Early meteorology was . not. a science. . “. Whatever may be the progress of sciences, NEVER will observers. who are trust-worthy, and careful of their reputation, venture to foretell the state of the weather.. Ali Stevens, Annarita Mariotti, Dan Barrie, Heather Archambault, Emily Read. Climate Program Office. Contact: alison.stevens@noaa.gov. NMME/SubX Science Meeting. September 13-15, 2017. **Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration.. Transition plan for MAPP/CTB Funded Proposal: Improved probabilistic forecast products for the NMME seasonal forecast system Anthony Barnston (PI), Huug van den Dool .”. Model composites (method . etc. ) 6 slides. Comparison real time forecast to those composites. ENSO Precipitation and Temperature Forecasts in the NMME: Composite Analysis and Verification. Li-Chuan Chen. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Tim . Birtwistle. 2. Why ……………………….?. Tuning is a five step process comprised of: . defining the discipline core; . mapping employability; . surveying stakeholders; . honing core competencies and learning outcomes; .

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