Enabling Information Sharing thru Common...

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Expansion of the WXXM with the inclusion of probabilistic weather Presented By: Mark Oberfield, NWS/OST/MDL Date: 1 September 2011 Enabling Information Sharing thru Common Services

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Page 1: Enabling Information Sharing thru Common Servicesaixm.aero/sites/aixm.aero/files/imce/library/ATIEC_2011...Characterizing and Communicating Uncertainty for Better Decisions Using Weather

Expansion of the WXXM with the inclusionof probabilistic weather

Presented By: Mark Oberfield, NWS/OST/MDL

Date: 1 September 2011

Enabling Information Sharing

thru Common Services

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Outline

• Completing the Forecast

• Brief description of the LAMP forecast

system

• New product generation

• New NAWX schema

• Current implementation and the future

plans

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Completing the Forecast

In 2006, a National Research Council report

stated:

“Uncertainty is a fundamental characteristic of

weather prediction, and no forecast is complete

without a description of its uncertainty.”

and that NOAA Laboratories should lead US

efforts to produce probabilistic forecasts.

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Completing the Forecast

• International efforts by scientists to quantify

uncertainty in weather forecasts

– A difficult, multifaceted problem

– Multiple techniques being explored

• WXXM needs some changes

– Incorporate uncertainty information

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Quantifying the Uncertainty

• Types of probabilities

– Discrete (yes/no event) probability

• “80% chance of thunderstorms at KEWR 4-hrs from now”

– Exceedance probability

• “Probability of 2-m temperature below 28°F”

– Confidence intervals

• “90% confidence interval of maximum temperature for Day 3”

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What we’ve done to date….

• Created a new experimental product

– Guidance TAF

– Has probabilities associated with it

• North American extension to WXXM (NAWX)

– Already has TAF schema

– Implemented quickly

– wxGuidanceTAF.xsd in ver. 1.3.0

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MDL’s LAMP Forecast System• LAMP provides hourly updates to longer-

range guidance

• Forecast out to 25 hours at 1-hr intervals

• Station Guidance (~1600 stations)• all elements; CONUS, Alaska, Hawaii,

Puerto Rico & parts of Canada

• CONUS Gridded Guidance• Tstms;Temp & Dew; CIG & VIS

• Runs 24/7 & operational at NCEP

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• LAMP:

• is a system of objective analyses, simple models, regression equations, and related thresholds which together provide guidance for sensible weather forecasts

• LAMP guidance is both probabilistic and deterministic

• bridges the gap between the observations and long-range forecasts

• provides guidance for aviation elements

• is useful to WFO forecasters in making the TAFs and to AWC forecasters in making the convective products

• provides guidance for CONUS, Alaska, Hawaii, Puerto Rico and Canadian sites near US borders.

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LAMP Probabilities

Probability of: Event

Convection during 2 hr period in

20km boxYes/No

Thunderstorms during 2 hr period in

20km boxYes/No

Precipitation occurring on the hour Yes/No

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Probability of: Event

Total Sky Cover

0/8 (Clear)

1/8 – 2/8 (Few)

3/8 – 4/8 (Sct)

5/8 – 7/8 (Bkn)

8/8 (Ovc)

Precipitation type

(Conditional on Precipitation)

Freezing

Frozen

Liquid

Obstruction to Vision

No obstruction to vision

Haze/Smoke

Mist/Fog

Blowing Phenomena

LAMP Probabilities

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Probability of: Event

Ceiling Height

< 200 feet (VLIFR)

200 – 400 feet (LIFR)

500 – 900 feet (IFR)

1000 – 1900 feet

2000 – 3000 feet

3100 – 6500 feet

6600 – 12,000 feet

> 12,000 feet

Ceiling Height (Conditional on

Precipitation)Same as above

LAMP Probabilities

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Probability of: Event

Visibility

< ½ mile (VLIFR)

< 1 mile (LIFR)

< 2 miles

< 3 miles (IFR)

≤ 5 miles

≤ 6 miles

> 6 miles

Conditional Visibility (Conditional on

Precipitation)Same as above

LAMP Probabilities

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Thunderstorm (current) Convection (experimental)

New LAMP Convective Guidance

• Features:

• Defined from Cloud-to-Ground

(CTG) ltg

• GFS MOS 3-h thunderstorm

probability predictors

• 2-h period / 20-km gridboxes

• 1-h cycle; 3 – 25 h projections

• Other predictors

• Criticisms:

• Convection can occur without

lightning

• Thunderstorm probabilities lack

sharpness

• Features:

• Defined from CTG ltg / ≥ 40 dBZ

radar reflectivity

• GFS & NAM MOS 2-h convective

probability predictors

• 2-h period / 20-km gridboxes

• 1-h cycle; 3 – 25 h projections

• Other predictors

• Solution:

• Convection can be indicated when

there is little or no lightning

• Convection probabilities exhibit good

sharpness

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12-h LAMP probabilities and verification from 1800 UTC 29 Sep 2010

LAMP Lightning Product LAMP Convection Product

Verifying Lightning/RadarVerifying Lightning

ForecastForecast

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Note that this is a 23-hour projection, and the

LAMP convective probabilities are about 90%

while the LAMP thunderstorm probabilities are

about 30%.

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New LAMP Convection Forecast Results

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LAMP TAF Generation in 3 steps

Identify Flight Categories in LAMP Forecast

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LAMP TAF Generation

Convert each hourly forecast to a equivalent TAF line

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LAMP TAF Generation

Summarize aviation elements within each flight category ‘block’

• LAMP guidance TAF now converted to XML using WXXM

• Encoding issues discovered with WXXM TAF schema

• Dry thunderstorms

• Low-level wind shear

•Verification of LAMP guidance TAF

• Jan-Dec 2010 NWS TAFs sites, all cycles.

• Little degradation compared to ‘raw’ hourly LAMP values

• Analysis continues

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Adding probabilities to guidance TAF product

• Allow convenient access to wealth of reliable

probabilities generated by LAMP

• Consumers can see TAF text and then

investigate further if needed and use the

probabilities which the TAF is based on in

their own risk assessment.

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Adding probabilistic information to

the guidance TAF product<nawx:AerodromeGuidanceWx><nawx:AerodromeGuidanceWx><nawx:AerodromeGuidanceWx><nawx:AerodromeGuidanceWx><nawx:cloudCondition><nawx:cloudCondition><nawx:cloudCondition><nawx:cloudCondition>

<nawx:DiscreteCloudConditionGuidance><nawx:DiscreteCloudConditionGuidance><nawx:DiscreteCloudConditionGuidance><nawx:DiscreteCloudConditionGuidance><gml:description>Best estimate of total sky cover condit<gml:description>Best estimate of total sky cover condit<gml:description>Best estimate of total sky cover condit<gml:description>Best estimate of total sky cover condition</gml:description>ion</gml:description>ion</gml:description>ion</gml:description>

<nawx:cloudAmount>BROKEN</nawx:cloudAmount><nawx:cloudAmount>BROKEN</nawx:cloudAmount><nawx:cloudAmount>BROKEN</nawx:cloudAmount><nawx:cloudAmount>BROKEN</nawx:cloudAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount>

<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=““““CLEAR" probability=CLEAR" probability=CLEAR" probability=CLEAR" probability=““““16"/>16"/>16"/>16"/></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount>

<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=““““FEW" probability=FEW" probability=FEW" probability=FEW" probability=““““5"/>5"/>5"/>5"/></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount>

<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=““““SCATTERED" probability=SCATTERED" probability=SCATTERED" probability=SCATTERED" probability=““““6"/>6"/>6"/>6"/></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount>

<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=““““BROKEN" probability=BROKEN" probability=BROKEN" probability=BROKEN" probability=““““6"/>6"/>6"/>6"/></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount><nawx:probabilityAmount>

<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=<nawx:ProbabilityCloudAmount cloudAmount=““““OVERCAST" probability=OVERCAST" probability=OVERCAST" probability=OVERCAST" probability=““““68"/>68"/>68"/>68"/></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount></nawx:probabilityAmount>

</nawx:DiscreteCloudConditionGuidance></nawx:DiscreteCloudConditionGuidance></nawx:DiscreteCloudConditionGuidance></nawx:DiscreteCloudConditionGuidance></nawx:cloudCondition></nawx:cloudCondition></nawx:cloudCondition></nawx:cloudCondition>

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Current Implementation

• NWS is a ‘in-kind’ participant in OWS-8

– Provided four different scenarios which GA pilots

and airline decision-makers can use the

probabilistic data in the guidance TAF product

– Provided a public-facing WFS for users to obtain

the new product

– Several OWS-8 participants have prototyped client

applications to display the guidance TAFs.

• Luciad

• Atmosphere

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Guidance TAF Visualizer

• Prototype developed by Thibault Dacla

ATMOSPHERE www.atmosphere.aero

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Future Plans

• Continue to improve guidance TAF text

algorithms

– Guided by verification results

• As more gridded LAMP fields become

available in NDGD…

– Guidance TAFs at any point

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Issues

• WXXM

– Reliable probabilistic guidance now available and more to come

• How to best encode them?

– How will FAA (EuroControl) address the introduction of forecast uncertainty in products?

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Summary

• Forecast uncertainty is a essential part of the

total weather picture

– Missing in many products for a long time

– Potentially enormous economic benefits to end-

users

• WXXM schemas needs to be able to encode

the uncertainty information

• Need regulatory agencies’ input

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Questions & Answers /

Feedback

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Contact & Sources

Presenter: Mark Oberfield W/OST24Product Development BranchMeteorological Development [email protected] x192

GFS-LAMP Web Page: www.nws.noaa.gov/tdl/lamp/

National Research Council, 2006: Completing the Forecast. Characterizing and Communicating Uncertainty for Better Decisions Using Weather and Climate Forecasts. National Academies Press. 124 pp.

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Sample Probability Density Function (PDF) for T

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ensity

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Sample T Forecast as Quantile Function (CDF)

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Probability

Tem

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20% chance of temperature

below 35.2 degrees F.

Median of the distribution

38.3 degrees F.

50% Confidence Interval

(35.8, 40.7) degrees F.

90% Confidence Interval

(32.2,44.3) degrees F.

72-h T Fcst KBWI 12/14/2004

Chance of temperature below

40.0 degrees F is 67.9%.

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Reliability of 0300 UTC 06-h Thunderstorms

Warm Season: 2006 Aug - Sep, 2007 Apr - May, 27373 grid points

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Reliability of 0300 UTC 03-h Ceiling < 1000 feet

2006 Aug - 2007 May, 1522 sites

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Reliability of 0300 UTC 03-h Visibility < 3 miles

2006 Aug - 2007 May, 1522 sites

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Ceiling Height Verification for 0000 UTC

Threat of Ceiling Height < 1000 Feet

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October 2006 – March 2007; CONUS; 1462 Stations