RUC development on ceiling/visibility forecasts
|
|
- Candace Martin
- 6 years ago
- Views:
Transcription
1 RUC development on ceiling/visibility forecasts Stan Benjamin John M. Brown NOAA / FSL Stan.Benjamin@noaa.gov john.m.brown@noaa.gov Bill Moninger Ed Szoke Barry Schwartz Tracy Lorraine Smith UQAM 14 juin 2005
2 Presentation updated version of NCV discussion at NRL-Monterey, CA 23 March 2004 Topics all in 13km RUC implementation - scheduled for 28 June 2005 Assimilation of METAR cloud/vis obs Modification to RUC/NCAR microphysics Modifications to visibility translation algorithm Monitoring / verification web sites developed at FSL Areas of limitation / inquiry / development Initial conditions Forecast model Post-processing 2
3 3-d RUC weather data updated hourly Turbulence Convection h forecast Terminal / surface Ceiling/visibility Icing Better weather products require improved high-frequency high-resolution models with high-refresh data to feed them 3
4 2005- Implementation of 13km RUC in operations at NCEP Assimilation of new observations - GPS-precipitable water improved moisture forecasts - METAR cloud/vis/current weather improved ceiling and vis fcsts - Mesonet MHz boundary-layer profilers, RASS temperatures - Soil moisture/temp nudging Model changes New versions of - mixed-phase cloud microphysics (NCAR-FSL) - Grell-Devenyi convective parameterization - Revised radiation cloud effects - Corrected treatment of frost formation improved icing and convection forecasts, cloud/sfc temp, vis forecasts Improved post-processing visibility, precip type, 20km/40km look-alike Hourly forecasts to be extended to 9h from 3h duration (at 01z, 02z, 04z, 05z, ) 4
5 AREA FORECAST DISCUSSION...UPDATE NATIONAL WEATHER SERVICE GOODLAND KS 1155 AM MDT SUN MAY UPDATE... A SHORTWAVE TROF WAS EVIDENT THIS MORNING AT BOTH 700 AND 500 MB OVER SOUTHEAST WYOMING...SPREADING TOWARD THE TRI STATE AREA IN NORTHWESTERLY FLOW ALOFT. THE ETA/NAM WAS HANDLING THIS FEATURE WELL. THE RUC IS A BIT TOO DRY. What is different qualitatively in precip/surface behavior with the RUC13? - Definitely a wetter model than the previous RUCs - Surface dewpoint, moisture aloft -CAPE - Precipitation - But drier over warm oceans 5
6 20km RUC 13km RUC Soil moisture 22z - 21 Feb 2005 Dark blue = water More detailed coastline with 13km resolution6
7 13-km 3DVAR running at FSL since summer 2004, NCEP testing in progress 4 aspects of RUC13 3DVAR analysis: 1. New observations assimilated 2. Cloud analysis (GOES, METAR ceiling/vis/curr-wx) 3. Revised control variable for moisture (pseudo-rh) 4. Soil moisture/temp nudging
8 Observations used in RUC Data Type ~Number Freq Rawinsonde 80 /12h NOAA profilers 30 / 1h VAD winds / 1h Aircraft (V,temp) / 1h Surface/METAR / 1h Buoy/ship / 1h GOES precip water / 1h GOES cloud winds / 1h GOES cloud-top pres 10 km res / 1h SSM/I precip water / 6h GPS precip water ~300 / 1h Mesonet (no cloud) ~5000 / 1h PBL prof/rass ~25 / 1h METAR-cloud-vis-wx ~1500 / 1h Cloud analysis variables NCEP RUC20 operational RUC13 (at NCEP June 2005)
9 RUC Cloud Analysis Use multiple data types to modify cloud, hydrometeor, and moisture fields: -- GOES cloud-top pressure/temp (implemented in 2002 w/ RUC20) -- Surface METAR (clouds, weather, visibility) (2005 w/ RUC13) Construct 3-d logical arrays (YES/NO/UNKNOWN) for clouds and precipitation from all info Clear/build moisture, cloud, precipitation fields Safeguards for known problems (marine stratus, convective clouds, snow, nocturnal inversion)
10 Assimilation of METAR cloud/wx/vis Better analysis, prediction of ceiling and visibility -Nearest station up to 100 km distance - Assigned in ASL, includes terrain intersection for low clouds - Maps info to 3-d cloud, precip. Y/N/Unknown arrays - Change cloud water, cloud ice, water vapor fields as follows: Build for BKN / OVC / Vertical Visibility - 40 mb thick layer (2+ model levels) mb thick for precip. + GOES clouds - Can build multiple broken layers Clear - Up to cloud base (if needed) - to 12,000 feet for CLR report
11 Added assimilation of visibility obs - Feb 2004 Use inverse of Kunkel / Stoelinga-Warner visibility translation algorithm Use FG or BR reports from METARS Only when Precip is not also reported T-Td < 1K Build at lowest 2 levels in RUC (5 m, 20 m) 11
12 Sample modification of cloud water from METAR cloud/weather/ visibility observations Background (previous 1h fcst) Cloud water mixing ratio 1700 UTC 27 Jan Pres (mb) analysis with METAR cloud/ visibility obs Cloud water mixing ratio Relative Humidity
13 Sample ceiling analysis impact Analysis WITH cld/wx/ vis obs Ceiling from RUC hydrometeors 1800 UTC 17 Nov 2003 Observations Aviation Flight Rules LIFR IFR MVFR VFR CLR cloud ceiling height (meters) Analysis NO cld/wx/ 13 vis obs
14 RUC13 analysis includes nudging of soil moisture and temperature Oper RUC20 Dependent on: 2m T/Td 1h forecast errors Only in daytime (zen angle > 0.3) with no clouds or precipitation (defined after METAR/GOES cloud assimilation) Para RUC13 Developed as part of NOAA New England High-Resolution Temperature (NEHRT) Program - FSL, ETL, NSSL, NCEP/EMC 14
15 MODEL PHYSICS CHANGES FOR RUC13 -Land-surface model: When ground temp < 0 C, vapor deposition on ground now based on ice saturation, not water * Diminishes unrealistic widespread nighttime fog formation, especially over snow cover Evident in real-time comparisons between RUC13 and oper RUC20 for visibility forecasts, especially at night. 15
16 Test of Ice Saturation for Surface Latent-heat Flux 13 Apr h fcst valid 06z Cloud-water mixing ratio at lowest model level Oper RUC20 Revised RUC20 Reduction in fog, especially over snow. Much improved visibility forecasts, avoids high bias 16
17 RUC13 Model Physics Changes (cont) -Convection (Grell-Devenyi scheme) * Empirically estimated ensemble weights to improve quantitative precipitation forecasts RUC20 - dcape/dt - Kain-Fritsch CAPE relaxation - low-level vertical velocity RUC13 - moisture convergence - adds Arak-Schu scheme for cloud work fn - no KF over ocean, reweighted all closures Addition of convection-inhibition ensemble members CAPE dp 25, 75, 125 mb fn ( TKE) Does not produce significant outflows (slightly more in RUC13) Still no shallow convection in RUC13 Grell-Dev scheme Still much less sounding modification than NAM/BMJ Eliminated extreme surface drying showing up in certain situations 17
18 RUC13 Model Physics Changes (cont) - Microphysics [NCAR and FSL] Overall goal: To incorporate best understanding of warm-rain and mixed-phase processes important for cold-season aviation operations (inflight icing, pre-takeoff deicing requirements, low ceiling, visibility) into operational NWP models. Major changes for RUC13 Dropsize distribution now transitions between drizzle and rain Replace Kessler with Barry-Reinhardt autoconversion (collision-coalescence cloud droplets to rain) Correct ice-particle accretion (ice snow more readily) Ice particle fall speed no longer set to 1 m/s 18
19 RUC13 Model Physics Changes (cont) * - Snow - Diagnosis of snow-particle size distribution - Operational RUC20: - Depends on snow mixing ratio -RUC13: -Depends on temperature -Graupel - Growth/depletion via deposition/sublimation: Change size distribution from gamma to inverse exponential - Results in less graupel 19
20 EAST COAST BOMB JAN 2005 RUC13 9h Forecast for 0900 UTC 23 Jan Sfc wind, temp, 3-h pcpn X-sec Snow Precipitation type Rain 20
21 HYDROMETEOR CROSS SECTIONS RUC 9h Forecasts for 0900 UTC 23 Jan RUC13 CLOUD-WATER MIXING RATIO (qc) RUC20 - OPER Atlantic MA ME 21
22 Hydrometeor Mixing Ratios (Cont) RUC 9h Forecasts for 0900 UTC 23 Jan RAIN WATER (qr) RUC13 Oper - RUC20 Atlantic MA ME More rain in RUC13 different rain processes 22
23 Hydrometeor Mixing Ratios (Cont) RUC 9h Forecasts for 0900 UTC 23 Jan CLOUD ICE (qi) RUC13 Oper RUC20 Atlantic MA ME Less ice in RUC13 modified ice-particle accretion 23
24 Hydrometeor Mixing Ratios (Cont) RUC 9h Forecasts for 0900 UTC 23 Jan SNOW (qs) RUC13 Oper RUC20 Atlantic MA ME More snow in RUC13 modified ice-particle accretion 24
25 Hydrometeor Mixing Ratios (Cont) RUC 9h Forecasts for 0900 UTC 23 Jan GRAUPEL (qg) RUC13 Oper RUC20 Atlantic MA ME Less graupel in RUC13 More supercooled liquid water (important for icing/aviation) 25
26 Obs radar z -31 Mar 05 RUC13 9h fcst - valid 03z- 31Mar05 RUC20 9h fcst - valid 03z - 31 Mar 05 26
27 Obs radar z - 12 May 05 RUC20 12h fcst - valid 03z- 12May05 RUC13 12h fcst - valid 03z- 12May05 27
28 Further revisions to visibility translation algorithm [RUC algorithm = Combination of hydrometeor basis (Stoelinga-Warner) and RH basis (FSL algorithm)] - Added Rasmussen day/night distinction (higher vis at night with same snow mixing ratio) - Revised hydrometeor basis Previous New Max Qc (levs 1-4) Mean Qc (levs 1-2) (decreased bias from 4-5x down to 2x at night) - Added wind shear term in lowest 25 mb for RH term 28 (Kuchera M.S. thesis)
29 RH term in visibility TA Need - Without RH term and no Qc, vis = 90 km - Current setting - increased extinction coefficient from 75-98% RH - min vis from high RH = 5.4 km at 98% RH - As currently set, not a factor for aviation-significant lower visibility (greater than MVFR threshold) Therefore, all aviation-significant lower visibility must be forecast via non-zero hydrometeor mixing ratios. - Added reduction to strength of RH-based extinction as function of low-level wind shear (Kuchera - AFWA). If V (k=1,5 - ~25 mb) > 4 m/s, reduce RH-based extinction. 29
30 Continuing concern - lowest Qc near ground generally 0.1 g/kg - very rarely as low as 0.01 g/kg BUT - extinction coefficient from cloud water (Kunkel Stoelinga-Warner) gives Cloud water mixing ratio Visibility 0.38 g/kg 70 m m m km How to get mile visibility commonly observed, 30 especially in cold-season, inland situations?
31 Ceiling analysis: comparison of Operational RUC (top) with the NCEP RUC13 (bottom) Scale (AGL): x 1000 ft Analyses at 1800 UTC on 9 May 31
32 Observations: cigs <= 5000 ft only Observations: cigs <= 3000 ft only Observations: cigs <= 500 ft only Point observations at 1800 UTC 9 May, for different ceiling heights, to compare to previous figure. 4 areas of lower cigs are apparent. -New England: Better coverage of lower cigs by RUC13 looks good. -Northern Plains/Midwest: more coverage of lower cigs in RUC13, tho similar coverage for very lowest categories. Again, obs for aob 5000 ft cigs support RUC13. -West Coast: both have lower cigs in LA area. More coverage on RUC13 in intermountain west, not sure if this is overdone or not. -Northeast TX: RUC13 looks better here. 32
33 Ceiling 1h forecasts: comparison of Operational RUC (top) with the NCEP RUC13 (bottom) Scale (AGL): x 1000 ft Forecasts at 1900 UTC on 9 May 33
34 Ceiling 3h forecasts: comparison of Operational RUC (top) with the NCEP RUC13 (bottom) Scale (AGL): x 1000 ft Forecasts at 2100 UTC on 9 May 34
35 Focus on the Midwest and Northern Plains. Quite a few obs have cigs < 3000 ft, but only a few lower vis reports. It does appear that low clouds lurk JUST east of the eastern WI shoreline, like what was found in the RUC Operational run. 35
36 Focus on eastern Texas. Cigs < 3000 ft are relatively widespread. 36
37 Summary Good success in mapping ceiling observations into RUC hydrometeor fields Some success in mapping visibility observations into RUC hydrometeor fields. 37
38 Current issues Analyses Proper depth of cloud Forecasts Sometimes excessive Qc at level near ground at night Dew/frost deposition fix made substantial improvement Proper treatment of mixing in RUC version of Burk- Thompson PBL? (1-d comparison in progress with Mellor- Yamada-Janjic PBL) Retention for ceiling information improved but not great for 3-6h Cleared areas sometimes quickly go back to cloudy Layers too thin? Ceilings too low in IFR conditions No forcing of divergent wind / vertical velocity. Difficult to do in stratiform cloud situations or often irrelevant. 38
39 2005- Implementation of 13km RUC in operations at NCEP Assimilation of new observations - GPS-precipitable water improved moisture forecasts - METAR cloud/vis/current weather improved ceiling and vis fcsts - Mesonet, RASS temperatures Soil moisture/temp nudging Improved moisture analysis pseudo-rh instead of log q Model changes New versions of - mixed-phase cloud microphysics (NCAR-FSL) - Grell-Devenyi convective parameterization - Revised radiation cloud effects - Corrected treatment of frost formation improved icing and convection forecasts, cloud/sfc temp, vis forecasts Improved post-processing visibility, precip type, 20km/40km look-alike Hourly forecasts to be extended to 9h from 3h duration (at 01z, 02z, 04z, 05z, ) 39 (12h forecasts to be continued at 00z, 03, 06 init times)
40 Planned Rapid Refresh domain Current RUC CONUS domain Rapid Refresh -replace RUC km resolution - use WRF model Goals: Hourly NWP update in -Alaska - Wider E. Pacific -- Canada - Caribbean Sea 40
ASSIMILATION OF METAR CLOUD AND VISIBILITY OBSERVATIONS IN THE RUC
9.13 ASSIMILATION OF METAR CLOUD AND VISIBILITY OBSERVATIONS IN THE RUC Stanley G. Benjamin, Stephen S. Weygandt, John M. Brown, Tracy Lorraine Smith 1, Tanya Smirnova 2, William R. Moninger, Barry Schwartz,
More informationAircraft-based Observations: Impact on weather forecast model performance
Aircraft-based Observations: Impact on weather forecast model performance Stephen S. Weygandt Eric James, Stan Benjamin, Bill Moninger, Brian Jamison, Geoff Manikin* NOAA Earth System Research Laboratory
More informationRTMA Flowchart (CONUS)
22 nd Conf. Wea. Analysis Forecasting / 18 th Conf. Num Wea. Pred., June 2007, Park City, UT, Amer. Meteor. Soc. 4A.6 THE RTMA BACKGROUND HOURLY DOWNSCALING OF RUC DATA TO 5-KM DETAIL Stan Benjamin, John
More informationFAA Weather Research Plans
FAA Weather Research Plans Presented to: Friends /Partners in Aviation Weather Vision Forum By: Ray Moy FAA Aviation Weather Office Date: Aviation Weather Research Program (AWRP) Purpose: Applied Research
More informationCanadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012
Canadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012 The High Resolution Rapid Refresh (): An hourly updating
More informationFigure 1. Observations assimilated into RUC as of 2008 after upgrade, new observations in bold and with leading arrows.
6.2 IMPLEMENTATION OF THE RADAR-ENHANCED RUC Stan Benjamin, Stephen S. Weygandt, John M. Brown, Tanya Smirnova 2, Dezso Devenyi 2, Kevin Brundage 3, Georg Grell 2, Steven Peckham 2, William R. Moninger,
More informationRichard L. Bankert* and Michael Hadjimichael Naval Research Laboratory, Monterey, CA
P.34 SATELLITE AND NUMERICAL MODEL DATA-DRIVEN CLOUD CEILING AND VISIBILITY ESTIMATION Richard L. Bankert* and Michael Hadjimichael Naval Research Laboratory, Monterey, CA Paul H. Herzegh, Gerry Wiener,
More informationAMDAR Forecast Applications. Richard Mamrosh NWS Green Bay, Wisconsin, USA
AMDAR Forecast Applications Richard Mamrosh NWS Green Bay, Wisconsin, USA AMDAR has many applications Aviation Low level wind shear Ceilings and visibilities Icing and turbulence Winter Storms Precipitation
More informationStudy of the impacts of grid spacing and physical parameterizations on WRF simulations of convective system rainfall and morphology
Study of the impacts of grid spacing and physical parameterizations on WRF simulations of convective system rainfall and morphology Introduction Report on WRF-DTC Visit of W. Gallus, I. Jankov and E. Aligo
More informationJ3.4 FROM THE RADAR-ENHANCED RUC TO THE WRF-BASED RAPID REFRESH. NOAA Earth System Research Laboratory, Boulder, CO
22 nd Conf. Wea. Analysis Forecasting / 18 th Conf. Num Wea. Pred., June 2007, Park City, UT, Amer. Meteor. Soc. J3.4 FROM THE RADAR-ENHANCED RUC TO THE WRF-BASED RAPID REFRESH Stan Benjamin, Stephen S.
More information11.1 CONVECTION FORECASTS FROM THE HOURLY UPDATED, 3-KM HIGH RESOLUTION RAPID REFRESH (HRRR) MODEL
Preprints, 24 th Conference on Severe Local Storms, October 2008, Savannah, GA, Amer. Meteor. Soc. 11.1 CONVECTION FORECASTS FROM THE HOURLY UPDATED, 3-KM HIGH RESOLUTION RAPID REFRESH (HRRR) MODEL Tracy
More information2012 and changes to the Rapid Refresh and HRRR weather forecast models
2012 and 2013-15 changes to the Rapid Refresh and HRRR weather forecast models 31 October 2012 Stan Benjamin Steve Weygandt Curtis Alexander NOAA Earth System Research Laboratory Boulder, CO FPAW - 2012
More informationReal case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity
Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Takamichi Iguchi 1,2 (takamichi.iguchi@nasa.gov) 1 Earth System Science Interdisciplinary
More informationIntroduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL)
Introduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL) Binbin Zhou 1,2, Jun Du 2, Geoff Manikin 2 & Geoff DiMego 2 1. I.M. System Group 2. EMC/NCEP/NWS/NOAA
More informationThe Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science
The Fifth-Generation NCAR / Penn State Mesoscale Model (MM5) Mark Decker Feiqin Xie ATMO 595E November 23, 2004 Department of Atmospheric Science Outline Basic Dynamical Equations Numerical Methods Initialization
More informationMethodology for the creation of meteorological datasets for Local Air Quality modelling at airports
Methodology for the creation of meteorological datasets for Local Air Quality modelling at airports Nicolas DUCHENE, James SMITH (ENVISA) Ian FULLER (EUROCONTROL Experimental Centre) About ENVISA Noise
More informationEnhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP)
Enhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP) Jim Wilczak NOAA S. Benjamin, I. Djalalova, L. Bianco, S. Calvert, J. Freedman,
More informationThe enduring fog and low cloud episode of 5-10 December 2015: Big Bubble Fog Trouble
1. Overview The enduring fog and low cloud episode of 5-10 December 2015: Big Bubble Fog Trouble By Richard H. Grumm National Weather Service State College, PA An enduring low cloud and fog episode affected
More informationJordan G. Powers Kevin W. Manning. Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO
Jordan G. Powers Kevin W. Manning Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO Background : Model for Prediction Across Scales Global atmospheric
More informationWeather Research and Forecasting Model. Melissa Goering Glen Sampson ATMO 595E November 18, 2004
Weather Research and Forecasting Model Melissa Goering Glen Sampson ATMO 595E November 18, 2004 Outline What does WRF model do? WRF Standard Initialization WRF Dynamics Conservation Equations Grid staggering
More informationApplications in situational awareness high-resolution NWP -- Ideas for the Blueprint DA discussion
Applications in situational awareness high-resolution NWP -- Ideas for the Blueprint DA discussion 8 March 2016 Stan Benjamin, David Dowell, Curtis Alexander NOAA/ESRL/GLOBAL SYSTEMS DIVISION Situational
More information8.2 EVALUATING THE BENEFITS OF TAMDAR DATA IN CONVECTIVE FORECASTING. Cyrena-Marie Druse 1 AirDat LLC. Evergreen, CO
8.2 EVALUATING THE BENEFITS OF TAMDAR DATA IN CONVECTIVE FORECASTING Cyrena-Marie Druse 1 AirDat LLC. Evergreen, CO 1. INTRODUCTION 1 The TAMDAR (Tropospheric Airborne Meteorological Data Reporting) Sensor
More informationForecasting Local Weather
Forecasting Local Weather Sea/Land Breeze Temperature Dew Fog Frost Snow Thunderstorms Tropical Cyclones Temperatures: Radiation Balance Typical Diurnal Variation of Temperature Min soon after dawn Temp
More informationAddressing Diurnal Temperature Biases in the WRF Model
Addressing Diurnal Temperature Biases in the WRF Model Jeffrey Massey University of Utah Collaborators: Jim Steenburgh, Jason Knievel, Sebastian Hoch, Josh Hacker Long term 2-m temperature verification
More informationA Modeling Study of PBL heights
A Modeling Study of PBL heights JEFFREY D. DUDA Dept. of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa I. Introduction The planetary boundary layer (PBL) is the layer in the lower
More informationSTUDY UNIT SEVENTEEN GRAPHICAL AIRMAN S METEOROLOGICAL ADVISORY (G-AIRMET)
STUDY UNIT SEVENTEEN GRAPHICAL AIRMAN S METEOROLOGICAL ADVISORY (G-AIRMET) 341 (10 pages of outline) 17.1 Product Description....................................................... 341 17.2 Issuance...............................................................
More informationCloud parameterization and cloud prediction scheme in Eta numerical weather model
Cloud parameterization and cloud prediction scheme in Eta numerical weather model Belgrade, 10th September, 2018 Ivan Ristić, CEO at Weather2 Ivana Kordić, meteorologist at Weather2 Introduction Models
More informationMxVision WeatherSentry Web Services Content Guide
MxVision WeatherSentry Web Services Content Guide July 2014 DTN 11400 Rupp Drive Minneapolis, MN 55337 00.1.952.890.0609 This document and the software it describes are copyrighted with all rights reserved.
More informationEvaluation of Ensemble Icing Probability Forecasts in NCEP s SREF, VSREF and NARRE-TL Systems
Evaluation of Ensemble Icing Probability Forecasts in NCEP s, V and Systems Binbin Zhou 1,2, Jun Du 2, Geoff DeMigo 2 and Robert Sallee 3 1. I.M. System Group 2. Environmental Modeling Center of NCEP 3.
More information3.1 TAMDAR JET FLEETS AND THEIR IMPACT ON RAPID UPDATE CYCLE (RUC) FORECASTS
3.1 TAMDAR JET FLEETS AND THEIR IMPACT ON RAPID UPDATE CYCLE (RUC) FORECASTS William R. Moninger*, S. G. Benjamin, B. D. Jamison 1, T. W. Schlatter 2, T. L. Smith 1, and E. J. Szoke 1 NOAA Earth System
More informationForecast for 6/28-7/31. Forecaster: Matthew Brewer Forecast made at: 12z 6/27/2017
Forecast for 6/28-7/31 Forecaster: Matthew Brewer Forecast made at: 12z 6/27/2017 Whiteface lodge Mesonet Meteogram for the past 24 hours http://www.nysmesonet.org/data/meteogram#?stid=wfmb Whiteface Summit
More informationAtmospheric Moisture. Atmospheric Moisture:Clouds. Atmospheric Moisture:Clouds. Atmospheric Moisture:Clouds
Sec A Atmospheric Moisture I. Measuring Relative Humidity A. A Psychrometer is an instrument for measuring relative humidity B. A common psychrometer uses two thermometers with a wet gauze wrapped over
More informationNWS Technical Procedures Bulletin No. 490 RUC20 - The 20-km version of the Rapid Update Cycle
NWS Technical Procedures Bulletin No. 490 RUC20 - The 20-km version of the Rapid Update Cycle 11 April 2002 (updated 16 May) Stanley G. Benjamin, John M. Brown, Kevin J. Brundage, Dezső Dévényi, Georg
More information1st Annual Southwest Ohio Snow Conference April 8, 2010 Abner F. Johnson, Office of Maintenance - RWIS Coordinator
1st Annual Southwest Ohio Snow Conference April 8, 2010 Abner F. Johnson, Office of Maintenance - RWIS Coordinator The Ohio Department of Transportation ODOT has approximately 5500 full-time employees
More informationForecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems
Forecasting of Optical Turbulence in Support of Realtime Optical Imaging and Communication Systems Randall J. Alliss and Billy Felton Northrop Grumman Corporation, 15010 Conference Center Drive, Chantilly,
More informationSection 7: Hazard Avoidance
7.1 In-Flight Hazard Awareness Section 7: Hazard Avoidance As technology improves, pilots have more and more real-time information within reach in all phases of flight. Terrain proximity, real-time weather
More informationWRF Model Simulated Proxy Datasets Used for GOES-R Research Activities
WRF Model Simulated Proxy Datasets Used for GOES-R Research Activities Jason Otkin Cooperative Institute for Meteorological Satellite Studies Space Science and Engineering Center University of Wisconsin
More informationweather forecast Improving NOAA models for energy Stan Benjamin, Boulder, CO USA Joseph Olson, Curtis Alexander, Eric James,
Lamont, OK X Obs radar 5h HRRR Forecast Improving NOAA weather forecast models for energy Stan Benjamin, Joseph Olson, Curtis Alexander, Eric James, Dave Turner, Melinda Marquis NOAA Earth System Research
More informationIce fog: T~<-10C RHi>100%
SATELLITE AND RADIOMETER BASED NOWCASTING APPLICATIONS FOR ARCTIC REGIONS Ismail Gultepe 1, Mike Pavolonis 2, Victor Chung 3, Corey Calvert 4, James Gurka 5, Randolf Ware 6, Louis Garand 7 G. Toth Aug
More informationNear-surface weather prediction and surface data assimilation: challenges, development, and potential data needs
Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs Zhaoxia Pu Department of Atmospheric Sciences University of Utah, Salt Lake City, Utah,
More information22 nd Conference on Weather Analysis and Forecasting / 18 th Conference on Numerical Weather Prediction June 2007, Park City, UT, Amer. Meteor. Soc.
22 nd Conference on Weather Analysis and Forecasting / 18 th Conference on Numerical Weather Prediction June 2007, Park City, UT, Amer. Meteor. Soc. 4A.2 TAMDAR AND ITS IMPACT ON RAPID UPDATE CYCLE (RUC)
More informationRecent Data Assimilation Activities at Environment Canada
Recent Data Assimilation Activities at Environment Canada Major upgrade to global and regional deterministic prediction systems (now in parallel run) Sea ice data assimilation Mark Buehner Data Assimilation
More informationThe WMO Observation Impact Workshop. lessons for SRNWP. Roger Randriamampianina
The WMO Observation Impact Workshop - developments outside Europe and lessons for SRNWP Roger Randriamampianina Hungarian Meteorological Service (OMSZ) Outline Short introduction of the workshop Developments
More informationKelly Mahoney NOAA ESRL Physical Sciences Division
The role of gray zone convective model physics in highresolution simulations of the 2013 Colorado Front Range Flood WRF model simulated precipitation over terrain in CO Front Range Kelly Mahoney NOAA ESRL
More informationThe Developmental Testbed Center (DTC) Steve Koch, NOAA/FSL
The Developmental Testbed Center (DTC) Steve Koch, NOAA/FSL A facility where the NWP research and operational communities interact to accelerate testing and evaluation of new models and techniques for
More informationAssimilation of Mesoscale Observations for use in Numerical Weather Prediction
Assimilation of Mesoscale Observations for use in Numerical Weather Prediction Steve Koch Thermodynamic Profiling Technologies Workshop Boulder 12 14 April 2011 Important Questions (from 2003 USWRP Mesoscale
More informationWeather. Describing Weather
CHAPTER 13 Weather LESSON 1 Describing Weather What do you think? Read the two statements below and decide whether you agree or disagree with them. Place an A in the Before column if you agree with the
More informationIn this chapter we explain the processes by which nonprecipitating cloud droplets and ice crystals grow large enough to fall as precipitation
Goals for today: 19 Oct., 2011 Ch 7, Precipitation Processes In this chapter we explain the processes by which nonprecipitating cloud droplets and ice crystals grow large enough to fall as precipitation
More informationA New Numerical Weather Prediction Approach to the NDFD's Sky Cover Grid
A New Numerical Weather Prediction Approach to the NDFD's Sky Cover Grid Jordan Gerth Graduate Research Assistant Cooperative Institute for Meteorological Satellite Studies (CIMSS) and Department of Atmospheric
More informationA WRF-based rapid updating cycling forecast system of. BMB and its performance during the summer and Olympic. Games 2008
A WRF-based rapid updating cycling forecast system of BMB and its performance during the summer and Olympic Games 2008 Min Chen 1, Shui-yong Fan 1, Jiqin Zhong 1, Xiang-yu Huang 2, Yong-Run Guo 2, Wei
More informationP2.5. Preprint, 18 th Conference on Numerical Weather Prediction American Meteorological Society, Park City, UT
Preprint, 18 th Conference on Numerical Weather Prediction American Meteorological Society, Park City, UT P2.5 Development and Testing of a New Cloud Analysis Package using Radar, Satellite, and Surface
More informationMonthly Long Range Weather Commentary Issued: SEPTEMBER 19, 2016 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP,
Monthly Long Range Weather Commentary Issued: SEPTEMBER 19, 2016 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP, sroot@weatherbank.com SEPTEMBER 2016 Climate Highlights The Month in Review The contiguous
More informationIMPACT OF ASSIMILATING COSMIC FORECASTS OF SYNOPTIC-SCALE CYCLONES OVER WEST ANTARCTICA
IMPACT OF ASSIMILATING COSMIC REFRACTIVITY PROFILES ON POLAR WRF FORECASTS OF SYNOPTIC-SCALE CYCLONES OVER WEST ANTARCTICA David H. Bromwich 1, 2 and Francis O. Otieno 1 1 Polar Meteorology Group, Byrd
More informationGEWEX Atmospheric Boundary Layer Model
GEWEX Atmospheric Boundary Layer Model Inter-comparison Studies Timo Vihma 1, Tiina Kilpeläinen 1, Albert A.M. Holtslag 2, Laura Rontu 1, Phil Anderson 3, Klara Finkele 4, and Gunilla Svensson 5 1 Finnish
More informationDeterministic and Ensemble Storm scale Lightning Data Assimilation
LI Mission Advisory Group & GOES-R Science Team Workshop 27-29 May 2015 Deterministic and Ensemble Storm scale Lightning Data Assimilation Don MacGorman, Ted Mansell (NOAA/National Severe Storms Lab) Alex
More informationUsing Temperature and Dew Point to Aid Forecasting Springtime Radiational Frost and/or Freezing Temperatures in the NWS La Crosse Service Area
Using Temperature and Dew Point to Aid Forecasting Springtime Radiational Frost and/or Freezing Temperatures in the NWS La Crosse Service Area WFO La Crosse Climatology Series #21 The formation of radiational
More informationPlans for NOAA s regional ensemble systems: NARRE, HRRRE, and a regional hybrid assimilation
NOAA Earth System Research Laboratory Plans for NOAA s regional ensemble systems: NARRE, HRRRE, and a regional hybrid assimilation Tom Hamill (substituting for Stan Benjamin and team) NOAA Earth System
More informationPHYSICAL GEOGRAPHY. By Brett Lucas
PHYSICAL GEOGRAPHY By Brett Lucas INTRODUCTION TO ATMOSPHERIC MOISTURE Atmospheric Moisture The Nature of Water The Hydrologic Cycle Evaporation Measures of Humidity Condensation The Buoyancy of Air Precipitation
More informationA Revised Version of the Cloud Microphysical Parameterization of COSMO-LME
A Revised Version of the Cloud Microphysical Parameterization of COSMO-LME Axel Seifert DWD, Offenbach -1- Motivation: Well known problems of COSMO-LME regards wintertime precipitation: Overestimation
More informationReturn periods of prolonged fog events in Canada
Return periods of prolonged fog events in Canada 43th Annual Congress of the Canadian Meteorological and Oceanographic Society, Halifax, NS, 31 May 4 June 2009 Authors: Bjarne Hansen (Science and Technology
More informationAnswers to Clicker Questions
Answers to Clicker Questions Chapter 1 What component of the atmosphere is most important to weather? A. Nitrogen B. Oxygen C. Carbon dioxide D. Ozone E. Water What location would have the lowest surface
More informationUpdated 12 Sep 2002 Talking Points for VISITview Lesson Fog Detection and Analysis With Satellite Data Gary Ellrod (NOAA/NESDIS) 1.
Updated 12 Sep 2002 Talking Points for VISITview Lesson Fog Detection and Analysis With Satellite Data Gary Ellrod (NOAA/NESDIS) 1. Title 2. Fog has a major impact on air safety and efficiency, and may
More informationA 21st century HRRR-based approach to estimating probable maximum precipitation to enhance dam safety and community resilience
30 May 2017 FIRO Science Task Group Workshop A 21st century HRRR-based approach to estimating probable maximum precipitation to enhance dam safety and community resilience Courtesy Bill McCormick, Chief,
More informationClouds on Mars Cloud Classification
Lecture Ch. 8 Cloud Classification Descriptive approach to clouds Drop Growth and Precipitation Processes Microphysical characterization of clouds Complex (i.e. Real) Clouds Examples Curry and Webster,
More informationWater in the Atmosphere
Water in the Atmosphere Characteristics of Water solid state at 0 o C or below (appearing as ice, snow, hail and ice crystals) liquid state between 0 o C and 100 o C (appearing as rain and cloud droplets)
More informationMotivation & Goal. We investigate a way to generate PDFs from a single deterministic run
Motivation & Goal Numerical weather prediction is limited by errors in initial conditions, model imperfections, and nonlinearity. Ensembles of an NWP model provide forecast probability density functions
More informationMonthly Long Range Weather Commentary Issued: July 18, 2014 Steven A. Root, CCM, President/CEO
Monthly Long Range Weather Commentary Issued: July 18, 2014 Steven A. Root, CCM, President/CEO sroot@weatherbank.com JUNE 2014 REVIEW Climate Highlights The Month in Review The average temperature for
More informationChapter 7 Precipitation Processes
Chapter 7 Precipitation Processes Chapter overview: Supersaturation and water availability Nucleation of liquid droplets and ice crystals Liquid droplet and ice growth by diffusion Collision and collection
More informationBoundary Layer Turbulence Index: Progress and Recent Developments
Boundary Layer Turbulence Index: Progress and Recent Developments Kenneth L. Pryor Center for Satellite Applications and Research (NOAA/NESDIS) Camp Springs, MD 1. Introduction Turbulence is a frequently
More information14B.1 Evaluating cloud microphysics schemes in nested NMMB forecasts
14B.1 Evaluating cloud microphysics schemes in nested NMMB forecasts Brad Ferrier1,2 Weiguo Wang1,2 Edward Colón1,2 NOAA/NWS/NCEP Environmental Modeling Center (EMC) 2 IM Systems Group, Inc. (IMSG) 1 1
More informationJordan G. Powers Kevin W. Manning. Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, Colorado, USA
Jordan G. Powers Kevin W. Manning Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, Colorado, USA Background : Model for Prediction Across Scales = Global
More informationMicrophysics. Improving QPF and much more. Greg Thompson. Research Applications Laboratory Nat l Center for Atmospheric Research
Microphysics Improving QPF and much more Greg Thompson Research Applications Laboratory Nat l Center for Atmospheric Research Outline Background Tests Results Applications Future Goals: NCAR-RAL microphysics
More informationWeather Studies Introduction to Atmospheric Science
Weather Studies Introduction to Atmospheric Science American Meteorological Society Chapter 1 Monitoring The Weather Credit: This presentation was prepared for AMS by Michael Leach, Professor of Geography
More informationPolar Weather Prediction
Polar Weather Prediction David H. Bromwich Session V YOPP Modelling Component Tuesday 14 July 2015 A special thanks to the following contributors: Kevin W. Manning, Jordan G. Powers, Keith M. Hines, Dan
More informationToward improved initial conditions for NCAR s real-time convection-allowing ensemble. Ryan Sobash, Glen Romine, Craig Schwartz, and Kate Fossell
Toward improved initial conditions for NCAR s real-time convection-allowing ensemble Ryan Sobash, Glen Romine, Craig Schwartz, and Kate Fossell Storm-scale ensemble design Can an EnKF be used to initialize
More informationThe Atmospheric Boundary Layer. The Surface Energy Balance (9.2)
The Atmospheric Boundary Layer Turbulence (9.1) The Surface Energy Balance (9.2) Vertical Structure (9.3) Evolution (9.4) Special Effects (9.5) The Boundary Layer in Context (9.6) What processes control
More informationWeather Briefing. Associated Press/Orlin Wagner - near Lawrence, Kansas, Tues. Feb. 26, 2013.
CHICAGO (Reuters) - A powerful winter storm that buried the U.S. Plains moved on Tuesday into the southern Great Lakes region, where it snarled the evening commute in Chicago and Milwaukee, created near-whiteout
More information9.5 EVALUATING THE BENEFITS OF TAMDAR DATA IN AVIATION FORECASTING. Cyrena-Marie Druse 1 and Neil Jacobs AirDat LLC. Evergreen, CO
9.5 EVALUATING THE BENEFITS OF TAMDAR DATA IN AVIATION FORECASTING Cyrena-Marie Druse 1 and Neil Jacobs AirDat LLC. Evergreen, CO 1. INTRODUCTION 1 The TAMDAR (Tropospheric Airborne Meteorological Data
More informationEvaluating Parametrizations using CEOP
Evaluating Parametrizations using CEOP Paul Earnshaw and Sean Milton Met Office, UK Crown copyright 2005 Page 1 Overview Production and use of CEOP data Results SGP Seasonal & Diurnal cycles Other extratopical
More informationA COMPARISON OF VERY SHORT-TERM QPF S FOR SUMMER CONVECTION OVER COMPLEX TERRAIN AREAS, WITH THE NCAR/ATEC WRF AND MM5-BASED RTFDDA SYSTEMS
A COMPARISON OF VERY SHORT-TERM QPF S FOR SUMMER CONVECTION OVER COMPLEX TERRAIN AREAS, WITH THE NCAR/ATEC WRF AND MM5-BASED RTFDDA SYSTEMS Wei Yu, Yubao Liu, Tom Warner, Randy Bullock, Barbara Brown and
More informationNCEP s "NAM" (North American Mesoscale) model WRF-NMM. NCEP =National Centers for Environmental Prediction
NCEP s "NAM" (North American Mesoscale) model WRF-NMM NCEP =National Centers for Environmental Prediction Weather Research and Forecasting Non-hydrostatic Mesoscale Model (WRF-NMM)** model is run as the
More informationAnswer Key. Page 1 of 5
Answer Key Name: Score: [1] When telephoning a weather briefing facility for preflight weather information, pilots should state A. whether they intend to fly VFR only. B. the full name and address of the
More informationECMWF Workshop on "Parametrization of clouds and precipitation across model resolutions
ECMWF Workshop on "Parametrization of clouds and precipitation across model resolutions Themes: 1. Parametrization of microphysics 2. Representing sub-grid cloud variability 3. Constraining cloud and precipitation
More informationCreating Meteorology for CMAQ
Creating Meteorology for CMAQ Tanya L. Otte* Atmospheric Sciences Modeling Division NOAA Air Resources Laboratory Research Triangle Park, NC * On assignment to the National Exposure Research Laboratory,
More informationMonthly Long Range Weather Commentary Issued: February 15, 2015 Steven A. Root, CCM, President/CEO
Monthly Long Range Weather Commentary Issued: February 15, 2015 Steven A. Root, CCM, President/CEO sroot@weatherbank.com JANUARY 2015 Climate Highlights The Month in Review During January, the average
More informationMonthly Long Range Weather Commentary Issued: APRIL 18, 2017 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP,
Monthly Long Range Weather Commentary Issued: APRIL 18, 2017 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP, sroot@weatherbank.com MARCH 2017 Climate Highlights The Month in Review The average contiguous
More informationTraffic and Weather. Soaring Safety Foundation. Tom Johnson CFIG
Traffic and Weather Soaring Safety Foundation Tom Johnson CFIG Weather Contents Weather Gathering Sources Weather Acquisition Enroute Weather Analysis Weather Hazards Weather in the Landing Pattern Basic
More informationAn Investigation of Reforecasting Applications for NGGPS Aviation Weather Prediction: An Initial Study of Ceiling and Visibility Prediction
An Investigation of Reforecasting Applications for NGGPS Aviation Weather Prediction: An Initial Study of Ceiling and Visibility Prediction Kathryn L. Verlinden, Oregon State University David Bright, WFO
More informationSatellite Imagery and Virtual Global Cloud Layer Simulation from NWP Model Fields
Satellite Imagery and Virtual Global Cloud Layer Simulation from NWP Model Fields John F. Galantowicz John J. Holdzkom Thomas Nehrkorn Robert P. D Entremont Steve Lowe AER Atmospheric and Environmental
More informationTesting and Improving Pacific NW PBL forecasts
Testing and Improving Pacific NW PBL forecasts Chris Bretherton and Matt Wyant University of Washington Eric Grimit 3Tier NASA MODIS Image Testing and Improving Pacific NW PBL forecasts PBL-related forecast
More informationCurrent and future configurations of MOGREPS-UK. Susanna Hagelin EWGLAM/SRNWP, Rome, 4 Oct 2016
Current and future configurations of MOGREPS-UK Susanna Hagelin EWGLAM/SRNWP, Rome, 4 Oct 2016 Contents Current configuration PS38 and package trial results Soil moisture perturbations case study Future
More informationDay Microphysics RGB Nephanalysis in daytime. Meteorological Satellite Center, JMA
Day Microphysics RGB Nephanalysis in daytime Meteorological Satellite Center, JMA What s Day Microphysics RGB? R : B04 (N1 0.86) Range : 0~100 [%] Gamma : 1.0 G : B07(I4 3.9) (Solar component) Range :
More informationInfluences of PBL Parameterizations on Warm-Season Convection-Permitting Regional Climate Simulations
Influences of PBL Parameterizations on Warm-Season Convection-Permitting Regional Climate Simulations Stan Trier (NCAR/MMM) Andreas Prein (NCAR/ASP) and Changhai Liu (NCAR/RAL) GEWEX Convection-Permitting
More informationP2.9 Use of the NOAA ARL HYSPLIT Trajectory Model For the Short Range Prediction of Stratus and Fog
Ellrod, G. P., 2013: Use of the NOAA ARL HYSPLIT Trajectory Model for the Short Range Prediction of Stratus and Fog. Extended Abstract, 38 th National Weather Association Annual Meeting, Charleston, SC,
More informationPOTENTIAL FORECAST IMPACTS FROM SPACE-BASED LIDAR WINDS: RESULTS FROM A REGIONAL OBSERVING SYSTEM SIMULATION EXPERIMENT
6.4 POTENTIAL FORECAST IMPACTS FROM SPACE-BASED LIDAR WINDS: RESULTS FROM A REGIONAL OBSERVING SYSTEM SIMULATION EXPERIMENT Stephen S. Weygandt 1, Thomas W. Schlatter 1, Steven E. Koch 1, Stanley G. Benjamin
More informationMEA 716 Exercise, BMJ CP Scheme With acknowledgements to B. Rozumalski, M. Baldwin, and J. Kain Optional Review Assignment, distributed Th 2/18/2016
MEA 716 Exercise, BMJ CP Scheme With acknowledgements to B. Rozumalski, M. Baldwin, and J. Kain Optional Review Assignment, distributed Th 2/18/2016 We have reviewed the reasons why NWP models need to
More informationMicrophysics Schemes in EMC s Operational Hurricane Models
Microphysics Schemes in EMC s Operational Hurricane Models Brad Ferrier, Weiguo Wang, Eric Aligo 1,2 1 Environment Modeling Center (EMC)/NCEP/NWS 2 I.M. Systems Group, Inc. HFIP Physics Workshop 9 11 August
More informationNCEP Short Range Ensemble Forecast (SREF) System: what we have and what we need? Jun Du. NOAA/NWS/NCEP Environmental Modeling Center
N C E P NCEP Short Range Ensemble Forecast (SREF) System: what we have and what we need? Jun Du NOAA/NWS/NCEP Environmental Modeling Center (for NSF EarthCube Workshop, NCAR, Dec. 17-18, 2012) 1 An evolving
More informationDEPARTMENT OF EARTH & CLIMATE SCIENCES SAN FRANCISCO STATE UNIVERSITY. Metr Fall 2014 Test #1 September 30, 2014
DEPARTMENT OF EARTH & CLIMATE SCIENCES SAN FRANCISCO STATE UNIVERSITY NAME Metr 302.02 Fall 2014 Test #1 September 30, 2014 200 pts (4 pts each answer) Part I. Surface Chart Interpretation. Questions 1
More informationDi Wu, Xiquan Dong, Baike Xi, Zhe Feng, Aaron Kennedy, and Gretchen Mullendore. University of North Dakota
Di Wu, Xiquan Dong, Baike Xi, Zhe Feng, Aaron Kennedy, and Gretchen Mullendore University of North Dakota Objectives 3 case studies to evaluate WRF and NAM performance in Oklahoma (OK) during summer 2007,
More information