Improving Excessive Rainfall Forecasts at HPC by using the “Neighborhood - Spatial Density“ Approach to High Res Models Michael Eckert, David Novak, and.

Slides:



Advertisements
Similar presentations
Report of the Q2 Short Range QPF Discussion Group Jon Ahlquist Curtis Marshall John McGinley - lead Dan Petersen D. J. Seo Jean Vieux.
Advertisements

Verification and calibration of probabilistic precipitation forecasts derived from neighborhood and object based methods for a convection-allowing ensemble.
Toward Improving Representation of Model Microphysics Errors in a Convection-Allowing Ensemble: Evaluation and Diagnosis of mixed- Microphysics and Perturbed.
Louisville, KY August 4, 2009 Flash Flood Frank Pereira NOAA/NWS/NCEP/Hydrometeorological Prediction Center.
The Influence of Basin Size on Effective Flash Flood Guidance
Gridded OCF Probabilistic Forecasting For Australia For more information please contact © Commonwealth of Australia 2011 Shaun Cooper.
Statistical Postprocessing of Weather Parameters for a High-Resolution Limited-Area Model Ulrich Damrath Volker Renner Susanne Theis Andreas Hense.
Aspects of 6 June 2007: A Null “Moderate Risk” of Severe Weather Jonathan Kurtz Department of Geosciences University of Nebraska at Lincoln NOAA/NWS Omaha/Valley,
NOAA/NWS Change to WRF 13 June What’s Happening? WRF replaces the eta as the NAM –NAM is the North American Mesoscale “timeslot” or “Model Run”
The Collaborative Effort Between Stony Brook University and the National Weather Service Part 3 – Integration of Mesoscale Models in Operational Weather.
Hydrometeorological Prediction Center HPC Medium Range Grid Improvements Mike Schichtel, Chris Bailey, Keith Brill, and David Novak.
Exploring the Use of Object- Oriented Verification at the Hydrometeorological Prediction Center Faye E. Barthold 1,2, Keith F. Brill 1, and David R. Novak.
HPC Winter Weather Desk Operations and 2011 and 2012 Winter Weather Experiments Dan Petersen Winter weather focal point with contributions from.
Exploitation of Ensemble Output (and other operationally cool stuff) at NCEP HPC Peter C. Manousos NCEP HPC Science & Operations Officer
Ensemble Post-Processing and it’s Potential Benefits for the Operational Forecaster Michael Erickson and Brian A. Colle School of Marine and Atmospheric.
Using Short Range Ensemble Model Data in National Fire Weather Outlooks Sarah J. Taylor David Bright, Greg Carbin, Phillip Bothwell NWS/Storm Prediction.
Phillip Bothwell and Patrick Marsh-Storm Prediction Center Lindsey Richardson –CIMMS Dry Thunderstorm Forecasting Using Perfect Prog(nosis) Forecast results.
Verification has been undertaken for the 3 month Summer period (30/05/12 – 06/09/12) using forecasts and observations at all 205 UK civil and defence aerodromes.
Phillip Bothwell Senior Development Meteorologist-Storm Prediction Center 3 rd Annual GOES-R GLM Science Meeting Dec. 1, 2010 Applying the Perfect Prog.
1 GOES-R AWG Hydrology Algorithm Team: Rainfall Probability June 14, 2011 Presented By: Bob Kuligowski NOAA/NESDIS/STAR.
Warn on Forecast Briefing September 2014 Warn on Forecast Brief for NCEP planning NSSL and GSD September 2014.
The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.
The 2014 Flash Flood and Intense Rainfall Experiment Faye E. Barthold 1,2, Thomas E. Workoff 1,3, Wallace A. Hogsett 1*, J.J. Gourley 4, and David R. Novak.
David R. Vallee Hydrologist-in-Charge NOAA/NWS/Northeast River Forecast Center Eastern Region Flash Flood Conference.
1 What is the “NAM”? David Novak Science and Operations Officer NOAA/NCEP/ Hydrometeorological Prediction Center.
How can LAMEPS * help you to make a better forecast for extreme weather Henrik Feddersen, DMI * LAMEPS =Limited-Area Model Ensemble Prediction.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss High-resolution data assimilation in COSMO: Status and.
June 19, 2007 GRIDDED MOS STARTS WITH POINT (STATION) MOS STARTS WITH POINT (STATION) MOS –Essentially the same MOS that is in text bulletins –Number and.
© Crown copyright Met Office Preliminary results using the Fractions Skill Score: SP2005 and fake cases Marion Mittermaier and Nigel Roberts.
Overview of the Hydrometeorological Prediction Center Precipitation/Flash Flood Products/Services Michael Eckert
Celeste Saulo and Juan Ruiz CIMA (CONICET/UBA) – DCAO (FCEN –UBA)
Higher Resolution Operational Models. Operational Mesoscale Model History Early: LFM, NGM (history) Eta (mainly history) MM5: Still used by some, but.
Overview of the Colorado Basin River Forecast Center Lisa Holts.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Priority project « Advanced interpretation and verification.
© Crown copyright Met Office Probabilistic turbulence forecasts from ensemble models and verification Philip Gill and Piers Buchanan NCAR Aviation Turbulence.
Hydrometeorological Prediction Center HPC Experimental PQPF: Method, Products, and Preliminary Verification 1 David Novak HPC Science and Operations Officer.
Performance of the Experimental 4.5 km WRF-NMM Model During Recent Severe Weather Outbreaks Steven Weiss, John Kain, David Bright, Matthew Pyle, Zavisa.
Higher Resolution Operational Models. Major U.S. High-Resolution Mesoscale Models (all non-hydrostatic ) WRF-ARW (developed at NCAR) NMM-B (developed.
Page 1© Crown copyright Scale selective verification of precipitation forecasts Nigel Roberts and Humphrey Lean.
Flash Flood A rapid and extreme flow of high water into a normally dry area, or a rapid water level rise in a stream or creek above a predetermined flood.
Priority project Advanced interpretation COSMO General Meeting, 18. September 2006 Pierre Eckert.
SPC Ensemble Applications: Current Status, Recent Developments, and Future Plans David Bright Storm Prediction Center Science Support Branch Norman, OK.
Use of Mesoscale Ensemble Weather Predictions to Improve Short-Term Precipitation and Hydrological Forecasts Michael Erickson 1, Brian A. Colle 1, Jeffrey.
Refinement and Evaluation of Automated High-Resolution Ensemble-Based Hazard Detection Guidance Tools for Transition to NWS Operations Kick off JNTP project.
APPLICATION OF NUMERICAL MODELS IN THE FORECAST PROCESS - FROM NATIONAL CENTERS TO THE LOCAL WFO David W. Reynolds National Weather Service WFO San Francisco.
NOAA Hazardous Weather Test Bed (SPC, OUN, NSSL) Objectives – Advance the science of weather forecasting and prediction of severe convective weather –
Forecasting a Continuum of Environmental Threats (FACETs): Overview, Plans and Early Impressions of a Proposed High-Impact Weather Forecasting Paradigm.
Ensemble variability in rainfall forecasts of Hurricane Irene (2011) Molly Smith, Ryan Torn, Kristen Corbosiero, and Philip Pegion NWS Focal Points: Steve.
Spatial Verification Methods for Ensemble Forecasts of Low-Level Rotation in Supercells Patrick S. Skinner 1, Louis J. Wicker 1, Dustan M. Wheatley 1,2,
Typhoon Forecasting and QPF Technique Development in CWB Kuo-Chen Lu Central Weather Bureau.
Probabilistic Forecasts of Extreme Precipitation Events for the U.S. Hazards Assessment Kenneth Pelman 32 nd Climate Diagnostics Workshop Tallahassee,
Do the NAM and GFS have displacement biases in their MCS forecasts? Charles Yost Russ Schumacher Department of Atmospheric Sciences Texas A&M University.
Diagnostic Evaluation of Mesoscale Models Chris Davis, Barbara Brown, Randy Bullock and Daran Rife NCAR Boulder, Colorado, USA.
Page 1© Crown copyright 2004 The use of an intensity-scale technique for assessing operational mesoscale precipitation forecasts Marion Mittermaier and.
Trials of a 1km Version of the Unified Model for Short Range Forecasting of Convective Events Humphrey Lean, Susan Ballard, Peter Clark, Mark Dixon, Zhihong.
NCAR, 15 April Fuzzy verification of fake cases Beth Ebert Center for Australian Weather and Climate Research Bureau of Meteorology.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Probabilities from COSMO-2 derived with the neighborhood.
ATM 401/501 Status of Forecasting: Spring Forecasting at NCEP Environmental Modeling Center Ocean Prediction Center.
Comparison of Convection-permitting and Convection-parameterizing Ensembles Adam J. Clark – NOAA/NSSL 18 August 2010 DTC Ensemble Testbed (DET) Workshop.
Extracting probabilistic severe weather guidance from convection-allowing model forecasts Ryan Sobash 4 December 2009 Convection/NWP Seminar Series Ryan.
Assimilation of radar observations in mesoscale models using approximate background error covariance matrices (2006 Madison Flood Case) 1.
Overview of SPC Efforts in Objective Verification of Convection-Allowing Models and Ensembles Israel Jirak, Chris Melick, Patrick Marsh, Andy Dean and.
Higher Resolution Operational Models
Predicting Intense Precipitation Using Upscaled, High-Resolution Ensemble Forecasts Henrik Feddersen, DMI.
The Quantitative Precipitation Forecasting Component of the 2011 NOAA Hazardous Weather Testbed Spring Experiment David Novak 1, Faye Barthold 1,2, Mike.
RUC Convective Probability Forecasts using Ensembles and Hourly Assimilation Steve Weygandt Stan Benjamin Forecast Systems Laboratory NOAA.
Hydrometeorological Predication Center
Ensemble variability in rainfall forecasts of Hurricane Irene (2011)
Christoph Gebhardt, Zied Ben Bouallègue, Michael Buchhold
Craig Schwartz, Glen Romine, Ryan Sobash, and Kate Fossell
Presentation transcript:

Improving Excessive Rainfall Forecasts at HPC by using the “Neighborhood - Spatial Density“ Approach to High Res Models Michael Eckert, David Novak, and Keith Brill NOAA/NWS/NCEP Hydrometeorological Prediction Center

HPC Excessive Rainfall Categorical probability of exceeding flash flood guidance (Out to Day 3) Rainfall RFC 4km FFG SLGT = 5-10% MOD = 10-15% HI = >15%

Motivation Excessive Rainfall Forecasts have always been very subjective and relied on human input/experience & low resolution Flash Flood Guidance (FFG) FFG has improved w/inclusion of several important land/physical characteristics & increased resolution to 4km Lower resolution models don’t forecast extreme rainfall (unless parameterized grid-scale feedback occurs – correct ~ 50% of the time) Higher resolution (<5km) models shows promise forecasting extreme rainfall (convection allowing) Kain et al – 2005, Weisman et al Need to objectively quantify extreme rainfall

Integration of Hi-Resolution WRF guidance High-resolution models are not accurate on the scale of individual grid points However, high-resolution models can capture realistic amplitude of events Use neighborhood approach (e.g., Schwartz et al. 2009) to give credit for the correct event/phenomenon, even if the placement is not perfect Also called “Spatial Density “ “Close only counts in Horseshoes“

Model 1 h QPF1” Binary1”/h Density a) Create binary field where threshold exceeded Neighborhood / Spatial Density Approach Schwartz et al. (2009) g) Can be calibrated to provide a probability of exceedance c) Smooth the resulting binary (1 or 0) distribution (using a Gaussian Smoother)

Background Information Jack Kain (NSSL) visits HPC in June 2009 to discuss High Resolution ARW (Advanced Research WRF) QPF Discussions led to NSSL internally produced “experimental” Neighborhood/Spatial Density Plots of rainfall rates Exceeding 1” per hour in a 6 hour period 00-06z, 06-12z, 12-18z & 18-00z) Exceeding 3” per 24 hours Exceeding 5” per 24 hours Derived from summing hourly rainfall

Background Information Led to manual use of NSSL ARW rainfall density output combined with NWS 1, 3 & 6 hour 4km FFG Forecaster “eyeballed” the two parameters FFG on N-AWIPS Density Plots of Rainfall Rate on PC Very inefficient process and not very precise Better way of doing this was required

4 km resolution No convective parameterization NMM (Non-Hydrostatic Mesoscale Model) Domain covers CONUS Initialized with NAM Run at 00 & 12 UTC each day out to 36 hours Data available by 05 & 17 UTC The NCEP WRF Model Run

High-res model QPF Define your forecast period (one, three or six hours) & pull rainfall out of model. HPC Density Approach

Specified rainfall period is overlaid with corresponding FFG 1 hourly rainfall with 1 hour FFG 3 hourly rainfall with 3 hour FFG 6 hour rainfall with 6 hour FFG 1 hour rainfall 4km 1 hour FFG

HPC Density Approach Grid point where rainfall rate exceeds FFG = EVENT GRID-POINT EVENT

GRID-POINT EVENT If Grid box rainfall > FFG  assigned value = 1 Otherwise Grid box is assigned a value = 0 Define a “GRID-POINT EVENT“ as: An event occurring within a certain distance (20 or 40 km) of a point Similar to SPC tornado & severe thunderstorm probabilities X HPC Density Approach

Raw data (1s & 0s) are run data through a Gaussian Weighted Filter to create an index of values from Produce both 20km and 40km indices Future calibration will give us probabilities & best spread (20 or 40km) Creating the Exceeding FFG Density Plot

Not a true probability, as values have not been calibrated. For now we call it an “INDEX” with values ranging from 0 to 100 Higher INDEX values means a greater likelihood of rainfall exceeding the FFG However, the guidance is just from one model run which may be in error. The approach applies a spatial smoother to the amplitude information from 1 run, so if the model has the wrong amplitude or placement (say beyond the chosen radius) there will be error. Interpretation

Excessive rainfall forecasts cover either 21 or 30 hours Generation of Density plot of rainfall exceeding FFG: 1.Model rainfall accumulation at 1, 3 & 6 hour periods compared with FFG 2.21 hour forecast has: 1.21 chances of exceeding the 1 hour FFG 2.19 chances of exceeding the 3 hour FFG 3.16 chances of exceeding the 6 hour FFG 3.30 hour forecast has: 1.30 chances of exceeding the 1 hour FFG 2.28 chances of exceeding the 3 hour FFG 3.25 chances of exceeding the 6 hour FFG Application to HPC Excessive Rainfall

Examples

November 25, h Flash Flood Guidance FFG is 1-2” per 3 hours over eastern Iowa

NCEP NMM-WRF 3-h QPF NCEP NMM-WRF forecasts isolated 2.5” amounts during the UTC period. November 25, 2009

20 km Spatial Density Model QPF exceeds FFG, so there is a probability of exceeding FFG November 25, 2009

40 km Spatial Density If we use the 40 km radius, we find the probabilities have been reduced and the area expanded November 25, 2009

Observations Isolated rainfall exceeding FFG occurred 1-1.5” November 25, 2009

5-10” Rainfall 3 hr – 40km density plots 6 hr – 40km density plots 20-30% 12z 12/7/09 – 12z 12/8/09 Observed NMM- WRF Forecast

5-10” Rainfall 3 hr – 40km density plots 6 hr – 40km density plots 90-95% 80-90% 00z 12/24/09 – 00z 12/25/09 Observed NMM – WRF Forecast

00z 12/24/09 – 00z 12/25/ ” Observed Rainfall HPC “High” Risk of Rainfall Exceeding FFG

Conclusions 1.Initial results looks promising 2.Verification & Calibration underway Spatial Density of 20% ≠ Observed 20% frequency 3.Only one model, so treating it as a “perfect prog” If model is wrong (placement/amplitude) then there will be error 4.Several member ensemble (NCEP, NSSL, NCAR WRF) would help build uncertainty into the forecasts 5.Not appropriate for west of Rockies Spatial smoothing does not make sense when pcpn tied to terrain 6.Technique has given forecasters better situational awareness of potential excessive rainfall events, that they otherwise would of not considered

Questions ???