Presentation is loading. Please wait.

Presentation is loading. Please wait.

“Real data OSSE” EnKF analysis of storm from 6 June 2000 (STEPS) Assimilated observed radar reflectivity and radial velocity. Activated electrification.

Published byEunice Terry Modified over 8 years ago

Similar presentations

Presentation on theme: "“Real data OSSE” EnKF analysis of storm from 6 June 2000 (STEPS) Assimilated observed radar reflectivity and radial velocity. Activated electrification."— Presentation transcript:

1 “Real data OSSE” EnKF analysis of storm from 6 June 2000 (STEPS) Assimilated observed radar reflectivity and radial velocity. Activated electrification and lightning in all members Selected one ensemble member to serve as ‘truth’ for observing systems simulation experiment (OSSE). Produced pseudo-GLM “observations” (8 km grid) Used graupel echo volume (GV) - flash rate (FR) relationship from Cohen (2008) as observation operator: FR = 0.0407 GV - 3.64 Thermal perturbations added to initiate convection where lightning is present

2 Good match.... “Truth”Member 15

3 Summary EnKF assimilation of pseudo GLM data seems to work! Note broadening of small cells, particularly as storms cross pixel boundaries. OSSEs properly adjust variables (e.g., updraft) unconnected to the flash rate relationship. Work in progress: EnKF assimilation of detailed data (radar) and compare observed flash rates (e.g., LMA) and model (graupel, flash rate, charge separation rate, etc.) Next step: Generate and assimilate GLM proxy from LMA data

4 “Truth” vs. Analysis with GLM after 54 minutes of assimilation “Truth” Mean Analysis Gets strong cell in good location, but too broad

5 “Truth” lightning (1km vs. 8km) Grid Lines = 8 km pseudo GLM resolution: Gives location of electrified convection, but artificial broadening. 00:5401:20

6 Not as good match, but still in the ball park “Truth”Member 1

7 Real data EnKF radar assimilation Selected member 11 as “truth” for OSSE

Download ppt "“Real data OSSE” EnKF analysis of storm from 6 June 2000 (STEPS) Assimilated observed radar reflectivity and radial velocity. Activated electrification."

Similar presentations

Lightning data assimilation techniques for convective storm forecasting with application to GOES-R Geostationary Lightning Mapper Alexandre Fierro, Blake.

Lightning data assimilation techniques for convective storm forecasting with application to GOES-R Geostationary Lightning Mapper Alexandre Fierro, Blake.
Cell Tracking Algorithm (R3) Dan Cecil, UAH

Cell Tracking Algorithm (R3) Dan Cecil, UAH
Storm-scale pseudo-GLM lightning assimilation and explicit lightning forecast implemented within the WRF- ARW model Alexandre Fierro, Blake Allen (CIMMS/NOAA-

Storm-scale pseudo-GLM lightning assimilation and explicit lightning forecast implemented within the WRF- ARW model Alexandre Fierro, Blake Allen (CIMMS/NOAA-
What kind of clouds have lightning?. Observing storms from space.

What kind of clouds have lightning?. Observing storms from space.
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 NSSTC ARMOR Dual-Polarimetric Doppler Radar: A Supporting.

Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 NSSTC ARMOR Dual-Polarimetric Doppler Radar: A Supporting.
Atmospheric Electricity and Lightning Research at UAH Large Group (>25) includes scientists, engineers and students. Capabilities include: Instrument.

Atmospheric Electricity and Lightning Research at UAH Large Group (>25) includes scientists, engineers and students. Capabilities include: Instrument.
Jidong Gao and David Stensrud Some OSSEs on Assimilation of Radar Data with a Hybrid 3DVAR/EnKF Method.

Jidong Gao and David Stensrud Some OSSEs on Assimilation of Radar Data with a Hybrid 3DVAR/EnKF Method.
Inter-comparison of Lightning Trends from Ground-based Networks during Severe Weather: Applications toward GLM Lawrence D. Carey 1*, Chris J. Schultz 1,

Inter-comparison of Lightning Trends from Ground-based Networks during Severe Weather: Applications toward GLM Lawrence D. Carey 1*, Chris J. Schultz 1,
Assimilating Sounding, Surface and Profiler Observations with a WRF-based EnKF for An MCV Case during BAMEX Zhiyong Meng & Fuqing Zhang Texas A&M University.

Assimilating Sounding, Surface and Profiler Observations with a WRF-based EnKF for An MCV Case during BAMEX Zhiyong Meng & Fuqing Zhang Texas A&M University.
An Efficient Ensemble Data Assimilation Approach and Tests with Doppler Radar Data Jidong Gao Ming Xue Center for Analysis and Prediction of Storms, University.

An Efficient Ensemble Data Assimilation Approach and Tests with Doppler Radar Data Jidong Gao Ming Xue Center for Analysis and Prediction of Storms, University.
ASSIMILATION of RADAR DATA at CONVECTIVE SCALES with the EnKF: PERFECT-MODEL EXPERIMENTS USING WRF / DART Altuğ Aksoy National Center for Atmospheric Research.

ASSIMILATION of RADAR DATA at CONVECTIVE SCALES with the EnKF: PERFECT-MODEL EXPERIMENTS USING WRF / DART Altuğ Aksoy National Center for Atmospheric Research.
Towards Assimilating Clear-Air Radar Observations with an WRF-Based EnKF Yonghui Weng, Fuqing Zhang, Larry Carey Zhiyong Meng and Veronica McNeal Texas.

Towards Assimilating Clear-Air Radar Observations with an WRF-Based EnKF Yonghui Weng, Fuqing Zhang, Larry Carey Zhiyong Meng and Veronica McNeal Texas.
Hector simulation We found simulation largely depending on: Model initialization scheme Lateral boundary conditions Physical processes represented in the.

Hector simulation We found simulation largely depending on: Model initialization scheme Lateral boundary conditions Physical processes represented in the.
9-12 April 2006EnDA Workshop, Marble Falls TX Impact of Doppler Radar Observations on the EnKF Analysis of a Developing MCS Mike Coniglio David Dowell.

9-12 April 2006EnDA Workshop, Marble Falls TX Impact of Doppler Radar Observations on the EnKF Analysis of a Developing MCS Mike Coniglio David Dowell.
Lightning and Storm Electricity Research Don MacGorman February 25–27, 2015 National Weather Center Norman, Oklahoma.

Lightning and Storm Electricity Research Don MacGorman February 25–27, 2015 National Weather Center Norman, Oklahoma.
The DYMECS project A statistical approach for the evaluation of convective storms in high-resolution models Thorwald Stein, Robin Hogan, John Nicol, Robert.

The DYMECS project A statistical approach for the evaluation of convective storms in high-resolution models Thorwald Stein, Robin Hogan, John Nicol, Robert.
Transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee 18-20 November,

Transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee November,
On the relationship of in-cloud convective turbulence and total lightning Wiebke Deierling, John Williams, Sarah Al-Momar, Bob Sharman, Matthias Steiner.

On the relationship of in-cloud convective turbulence and total lightning Wiebke Deierling, John Williams, Sarah Al-Momar, Bob Sharman, Matthias Steiner.
Ensemble Numerical Prediction of the 4 May 2007 Greensburg, Kansas Tornadic Supercell using EnKF Radar Data Assimilation Dr. Daniel T. Dawson II NRC Postdoc,

Ensemble Numerical Prediction of the 4 May 2007 Greensburg, Kansas Tornadic Supercell using EnKF Radar Data Assimilation Dr. Daniel T. Dawson II NRC Postdoc,
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss High-resolution data assimilation in COSMO: Status and.

Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss High-resolution data assimilation in COSMO: Status and.

Similar presentations

Ads by Google