Objective Verification of CPC Outlooks

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Objective Verification of CPC Outlooks Michael Halpert Climate Prediction Center

description

Objective Verification of CPC Outlooks. Michael Halpert Climate Prediction Center. Outline. Motivation Data Procedure Results Future Plans. Verification at CPC. Historically, CPC has verified ERF and LRF at first order stations. Forecasts made at 77 (out of 117) stations, 45 correct. - PowerPoint PPT Presentation

Transcript of Objective Verification of CPC Outlooks

Page 1: Objective Verification of CPC Outlooks

Objective Verification of CPC Outlooks

Michael Halpert

Climate Prediction Center

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Outline

• Motivation

• Data

• Procedure

• Results

• Future Plans

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Verification at CPC

Historically, CPC has verified ERF and LRF at first order stations

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Forecasts made at 77 (out of 117) stations, 45 correct.Heidke Skill Score = 37.7%

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Monitoring Data Sets

Temperature• ~5000 stations/day: RFC,

HADS, CADB• 0.5 x 0.5 degree resolution• 20°- 60°N, 140° - 60°W,

Conus only• Mid – Midnight window• Daily Max + Min/2• SD Quality Control check Temperature Station Locations

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Monitoring Temperature

90 Day Mean/Anomaly

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Precipitation Station Locations

Monitoring Data Sets

Precipitation• ~8000 stations/day: RFC,

HADS, CADB, SNOTEL, Mexican data

• 0.25 x 0.25 deg resolution• 10°- 60°N, 140° - 60°W,

Conus/Mexico• 12Z – 12Z window• QC: SD, buddy, Duplicate,

Nexrad checks

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Monitoring Precipitation

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2° x 2° Grid

20° - 56°N, 130° - 60°W, 232 valid points

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Temperature Analysis

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Procedure

Calculate means and tercile limits for all 232 grid boxes based on 1971-2000 base period

Tercile limits calculated as 0.43 SD for temperature; 33rd and 67th percentile (based on gamma) for precipitation

January – March Temperature Difference (Upper – Lower)

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Procedure

• Characterize seasonal mean temperature and total precipitation as above, near, or below average.

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Procedure

• Compare verification field to forecast

DJF Verification Grid DJF Forecast Grid

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Seasonal OutlookDec 2005 – Feb 2006

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Seasonal OutlookDec 2005 – Feb 2006

Heidke = 77, Coverage = 73%

Heidke = 82, Coverage = 64%

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All Non-EC % Cov 37.6 71.0 53.0

April – June 2006 Temperature

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All Non-EC % Cov 27.6 48.1 57.3

April – June 2006 Temperature

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Temperature Skill ScoresGridded vs. Stations ( non-EC)

Gridded Score – 23.7 Station Score – 24.2

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All Non-EC % Cov 2.6 5.9 43.6

April – June 2006 Precipitation

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All Non-EC % Cov 14.9 39.7 37.5

April – June 2006 Precipitation

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June 2006 TOfficial, Update, Observations OBS

UPD0.5 Lead

Off. Up. ChangeAll Stations 18.4 33.3 +14.9 Non-EC: 56.6 65.0 +8.4 % Cov: 32.5 51.3 +18.8

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Off. Up. ChangeAll Stations 18.8 25.4 +6.6 Non-EC: 48.3 43.1 -5.2% Cov: 38.8 59.1 +20.3

June 2006 TOfficial, Update, Observations

OBS

UPD

0.5 Lead

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Gridded verification makes tool verification simple

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JJA 2006 Temperature

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JJA 2006 Temperature

Official – 60

Consolidation – 58.2

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January – March 1998 Temperature

Official – 37.3

Consolidation – 51.5

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Temperature Heidke Skill ScoresOfficial vs. Consolidation (non-EC)

Official – 23.7

Consolidation – 27.6

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Temperature Heidke Skill ScoresOfficial vs. Consolidation (all)

Official – 11.4

Consolidation – 18.4

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Precipitation Heidke Skill ScoresOfficial vs. Consolidation (non-EC)

Official – 5.3

Consolidation – 12.4

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Precipitation Heidke Skill ScoresOfficial vs. Consolidation (all)

Official – 1.4

Consolidation – 3.1

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Future Plans

Seasonal/monthly

• Verification of tools

• Ranked Probability Skill Score

• Conversion of tools to 2x2 grid

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Future Plans

Extended Range

• Verification of forecasts

• Development of 5 and 7 day data sets

• Precipitation Complications

• Verification of tools

• RPSS

• Development of tercile limits