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https://ntrs.nasa.gov/search.jsp?R=20100017230 2018-07-02T22:35:22+00:00Z Forecasting Lightning Threat Earth-Sun System Division National Aeronautics and Space Administration Using WRF Proxy Fields E. W. McCaul, Jr. USRA Huntsville Workshop


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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Forecasting Lightning Threat Using WRF Proxy Fields

Photo, David Blankenship Guntersville, Alabama

  • E. W. McCaul, Jr.

USRA Huntsville Workshop OUN Mar 16, 2010

https://ntrs.nasa.gov/search.jsp?R=20100017230 2018-07-02T22:35:22+00:00Z

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Objectives

Given that high-resolution WRF forecasts can capture the character of convective outbreaks, we seek to:

  • 1. Create WRF forecasts of LTG threat (1-24 h), based on

2 proxy fields from explicitly simulated convection:

  • graupel flux near -15 C (captures LTG time variability)
  • vertically integrated ice (captures LTG threat area)
  • 2. Calibrate each threat to yield accurate quantitative peak

flash rate densities

  • 3. Also evaluate threats for areal coverage, time variability
  • 4. Blend threats to optimize results
  • 5. Examine sensitivity to model mesh, microphysics
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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

WRF Lightning Threat Forecasts:

Methodology

  • 1. Use high-resolution 2-km WRF simulations to prognose

convection for a diverse series of selected case studies

  • 2. Evaluate graupel fluxes; vertically integrated ice (VII)
  • 3. Calibrate WRF LTG proxies using peak total LTG flash rate

densities from NALMA; relationships look linear, with regression line passing through origin

  • 4. Truncate low threat values to make threat areal coverage

match NALMA flash extent density obs

  • 5. Blend proxies to achieve optimal performance
  • 6. Study CAPS 4-km ensembles to evaluate sensitivities
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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Calibration Curve Threat 1 (Graupel flux)

F1 = 0.042 FLX

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Calibration Curve Threat 2 (VII)

F2 = 0.2 VII

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

LTG Threat Methodology: Advantages

  • Methods based on LTG physics; should be robust

and regime-independent

  • Can provide quantitative estimates of flash rate

fields; use of thresholds allows for accurate threat areal coverage

  • Methods are fast and simple; based on

fundamental model output fields; no need for complex electrification modules

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

LTG Threat Methodology: Disadvantages

  • Methods are only as good as the numerical model
  • utput; models usually do not make storms in the

right place at the right time; saves at 15 min sometimes slightly miss LTG jump peaks

  • Small number of cases means uncertainty in

calibrations

  • Calibrations should be redone whenever model is

changed (pending studies of sensitivity to mesh, model microphysics, to be studied here)

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

WRF Configuration (typical)

30 March 2002 Case Study

  • 2-km horizontal grid mesh
  • 51 vertical sigma levels
  • Dynamics and physics:

– Eulerian mass core – Dudhia SW radiation – RRTM LW radiation – YSU PBL scheme – Noah LSM – WSM 6-class microphysics scheme (graupel; no hail)

  • 8h forecast initialized at 00 UTC 30

March 2002 with AWIP212 NCEP EDAS analysis;

  • Also used METAR, ACARS, and WSR-

88D radial vel at 00 UTC;

  • Eta 3-h forecasts used for LBC’s
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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

WRF Lightning Threat Forecasts:

Case: 30 March 2002 Squall Line plus Isolated Supercell

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

WRF Sounding, 2002033003Z

Lat=34.4 Lon=-88.1 CAPE~2800

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Ground truth: LTG flash extent density + dBZ 30 March 2002, 04Z

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

WRF forecast: LTG Threat 1 + dBZ 30 March 2002, 04Z

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

WRF forecast: LTG Threat 2 + anvil ice 30 March 2002, 04Z

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Domainwide Peak Flash Density Time Series 30 March 2002

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Implications of results:

  • 1. WRF LTG threat 1 coverage too small (updrafts emphasized)
  • 2. WRF LTG threat 1 peak values have adequate t variability
  • 3. WRF LTG threat 2 peak values have insufficient t variability

(because of smoothing effect of z integration)

  • 4. WRF LTG threat 2 coverage is good (anvil ice included)
  • 5. WRF LTG threat mean biases can exist because our method
  • f calibrating was designed to capture peak flash rates correctly,

not mean flash rates

  • 6. Blend of WRF LTG threats 1 and 2 should offer good time

variability, good areal coverage

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Construction of blended threat:

  • 1. Threat 1 and 2 are both calibrated to yield correct peak flash

densities

  • 2. The peaks of threats 1 and 2 tend to be coincident in all

simulated storms, but threat 2 covers more area

  • 3. Thus, weighted linear combinations of the 2 threats will also

yield the correct peak flash densities

  • 4. To preserve most of time variability in threat 1, use large weight
  • 5. To ensure areal coverage from threat 2, avoid very small weight
  • 6. Tests using 0.95 for threat 1 weight, 0.05 for threat 2, yield

satisfactory results

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Blended Threat 3; dBZ: 2002033004Z

wAr de2, LTG THREAT 3, 20020330042

."."..----,-,...--,

34.aN

.. ~

  • ....

:

.. -..

· .

· . · .

· .

l 4.5N

· .

34.2N

.. ~

  • ~ , .. :-

.. :

·

.

·

.

·

.

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Domainwide Peak Flash Density Time Series

LMA, WRF PEAK FLASH DEN vs time, 20020330

20 18 16

  • LTG THREAT3 MAX

+LMA FLSHDEN MAX

z

14

UJ C> 12

:r:

Vl 10

<C

  • '
I..i..

X

8

<C :::;;

6 4 2 60 120

180

240 300

TIME (min)

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Ensemble studies, CAPS case 20080502:

  • 1. Tornadic storms in MS after 20Z on 20080502
  • 2. NALMA saw only peak FRD ~ 7 fl/km2/(5 min) due to range
  • 3. Results obtained for 10 ensemble members (see table, next):
  • several members didn’t finish (computer issues)
  • consider only data from t > 16 hr
  • model output available only hourly
  • to check calibrations, must use mean of 1-h NALMA peaks
  • Threat 1 always smaller than Threat 2
  • Threat 2 values look reasonable for severe outbreak
  • Threat 1 shows more sensitivity to grid change than Threat 2
  • 4. Results suggest a strategy for generalizing WRF LTG threat

algorithm:

  • use Threat 2 peaks to rescale Threat 1 peaks
  • after recalibrating Threat 1, continue with threat blending
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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Results, CAPS ensemble, 20080502

Experiment name Peak Threat 1 Peak Threat 2 cn 4.1 at t=17 hr 6.7 at t=24 hr c0 4.0 at t=23 hr 8.0 at t=23 hr n1 6.6 at t=21 hr 9.4 at t=22 hr n2 5.0 at t=24 hr 7.6 at t=24 hr n3 (short expt) 2.5 at t=16 hr 6.7 at t=16 hr n4 7.1 at t=29 hr 9.2 at t=25 hr p1 7.2 at t=21 hr 8.4 at t=21 hr p2 5.5 at t=22 hr 8.1 at t=20 hr p3 6.4 at t=23 hr 8.9 at t=23 hr p4 3.6 at t=23 hr 7.6 at t=21 hr

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

CAPS p2, Threat 1: 2008050300Z

EXPT p2, THR 1, 2008050300Z

J8N J7.5N

  • '-

37N 36.5N ~

10

J6N

7

5

J5.5N

4

35N

3

34.5N

2

J4N 33.5N

,.

r?

33N

\

~

J2.5N

36

GrADS: COLA/ICES 2009- 09- 28- 15:42
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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

CAPS p2, Threat 2: 2008050300Z

EXPT p2. THR2. 2008050300Z

J7. J7N

10

J6N

7 5

JS.SN

4

JSN

3

34.SN

2

J4N JJ.SN

  • i'

JJN

\

J2.SN

GrADS: COLA/ICES

2009- 09- 28- 15:4-4

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Ensemble studies, CAPS case 20080510:

  • 1. Tornadic storms in MS,AL after 00Z on 20080511
  • 2. NALMA saw mean peak FRD ~ 10.5 fl/km2/(5 min); system

more intense than any used in original algorithm study

  • 3. Results obtained for 10 ensemble members (see table, next):
  • weekend timing forced use of runs starting 00Z 20080510
  • model output available only hourly
  • to check calibrations, use mean of 1-h NALMA peaks
  • Threat 1 usually smaller than Threat 2
  • Threat 2 values look reasonable for severe outbreak
  • Threat 1 shows more sensitivity to grid change than Threat 2
  • 4. Results show WRF storm intensity consistent with obs, support

proposed strategy for generalizing WRF LTG threat algorithm

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Results, CAPS ensemble, 20080510

Experiment name Peak Threat 1 Peak Threat 2 cn 12.8 at t=23 hr 12.9 at t=23 hr c0 10.7 at t=21 hr 13.0 at t=21 hr n1 8.3 at t=23 hr 10.5 at t=21 hr n2 11.5 at t=21 hr 11.7 at t=21 hr n3 6.6 at t=23 hr 9.2 at t=24 hr n4 11.8 at t=22 hr 10.4 at t=22 hr p1 9.8 at t=24 hr 10.1 at t=26 hr p2 10.5 at t=24 hr 8.9 at t=25 hr p3 9.5 at t=23 hr 9.6 at t=25 hr p4 8.4 at t=23 hr 10.7 at t=23 hr

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

General Conclusions:

  • 1. LTG threats 1 and 2 yield reasonable peak flash rate densities,

but with some sensitivity to mesh, physics changes (see next p.)

  • 2. LTG threats provide more realistic spatial coverage of LTG

than that suggested by coverage of CAPE>0, which overpredicts threat, especially in summer

  • 3. Blended threat retains proper peak flash rate densities,

because constituents are calibrated and coincident

  • 4. Blended threat retains temporal variability of LTG threat 1,

but offers proper areal coverage, thanks to threat 2

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Ensemble findings (preliminary):

  • 1. Currently testing technique on CAPS 2008 4km WRF runs
  • 2. Two cases yield consistent, similar results
  • 3. Results sensitive to changes in grid mesh, model physics
  • Threat 1 too small, more sensitive (grid mesh sensitivity?)
  • Threat 2 appears nearly independent of model changes
  • Strategy: boost Threat 1 to equal Threat 2 peak values

before creating blended Threat 3

  • 4. Must examine additional case days to establish generality
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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Future Work:

  • 1. Plan: examine more simulation cases, with added diversity
  • 2. Test newer versions of WRF, when available:
  • more hydrometeor species
  • double-moment microphysics
  • 3. Run on 1-km or finer grids; study PBL scheme response
  • 4. In 2010 runs, examine fields of interval-cumulative wmax,

and associated hydrometeor and reflectivity data, not just the instantaneous values; for save intervals >15 min, events happening between saves may be important for LTG jumps

  • 5. The two threats may offer opportunities for devising data

assimilation strategies based on observed total LTG

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Workshop OUN, Mar 2010

Earth-Sun System Division

National Aeronautics and Space Administration

Acknowledgments:

This research was funded by the NASA Science Mission Directorate’s Earth Science Division in support of the Short-term Prediction and Research Transition (SPoRT) project at Marshall Space Flight Center, Huntsville, AL. Thanks to collaborators Steve Goodman, NOAA, and K. LaCasse and D. Cecil, UAH, who helped with the recent W&F paper (June 2009). Thanks to Gary Jedlovec, Rich Blakeslee, and Bill Koshak, NASA, for ongoing support for this research. Thanks also to Paul Krehbiel, NMT, Bill Koshak, NASA, Walt Petersen, NASA, for many helpful discussions