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Coupled NMM-CALMET Meteorology Development for the CALPUFF Air Dispersion Modelling in Complex Terrain and Shoreline Settings Presented at: European Geoscience General Assembly Vienna, Austria - April, 2011 Authors: Zivorad Radonjic,* Dr. Douglas B. Chambers, Bosko Telenta and Dr. Zavisa Janjic * Contact: Zivorad Radonjic, [email protected]

Presented at: European Geoscience General Assembly Vienna, Austria - April, 2011 Authors:

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Coupled NMM-CALMET Meteorology Development for the CALPUFF Air Dispersion Modelling in Complex Terrain and Shoreline Settings. Presented at: European Geoscience General Assembly Vienna, Austria - April, 2011 Authors: - PowerPoint PPT Presentation

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Page 1: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Coupled NMM-CALMET Meteorology Development for the CALPUFF Air

Dispersion Modelling in Complex Terrain and Shoreline Settings

Presented at:

European Geoscience General AssemblyVienna, Austria - April, 2011

Authors:

Zivorad Radonjic,* Dr. Douglas B. Chambers, Bosko Telenta and Dr. Zavisa Janjic

* Contact: Zivorad Radonjic, [email protected]

Page 2: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Overview• Introduction• Study Background• Approach To Simulations• Approach To Validation• Comparison of WRF-NMM Model Versions 3.1.1

and 3.2.1

• Effects of Horizontal Resolutions• Validation with Local Observations• One Year vs. Five Year Meteorological Datasets• Conclusions

Page 3: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Introduction

A study was undertaken to prepare and validate high-resolution three-dimensional meteorology suitable for use as input into the CALPUFF/CALMET air dispersion

model system in complex terrain with a shoreline.

The main goal was to demonstrate the good performance of CALMET in a setting that involves both complex terrain and a shoreline (land-water interface). Improvements in

CALMET performance possible using fine resolution meso-scale model inputs were also demonstrated.

Page 4: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Study Background

• Meteorology required for CALPUFF modelling of industrial site in complex terrain with shoreline– A challenging meteorological

environment• Site-specific meteorology

required for both long- and short-range modelling

• No local observational data available for time period in question

Page 5: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Approach To Simulations

• Weather Research and Forecasting - Nonhydrostatic Mesoscale Model (WRF-NMM) used as meso-scale model

• WRF-NMM modelled on 6 km and 2 km horizontal resolution

• WRF-NMM used to initialize CALMET modelled on 2 km and 250 m horizontal resolution

• 2009 meteorology modelled

Example Large Domain (6 km x 6 km resolution) for WRF-NMM Model

Example Small Domain (2 km x 2 km resolution) for WRF-NMM – CALMET Model

Page 6: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Approach To Validation

• Simulations validated by:– Comparison of two versions

of WRF-NMM– Comparison between models

run of different horizontal resolutions

– Comparison of simulations with observational data

• Wind Rose Comparisons• Descriptive Statistics

• All validations at 10 agl

Select Meteorological Stations Used for Model Validation

Page 7: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Comparison of WRF-NMM Model Versions

• WRF-NMM Versions 3.1.1 and 3.2.1 compared– Versions yielded similar results– Good predictions of wind direction– Wind speeds over-predicted due to averaging / surface– Roughness over water causes higher wind speed predictions

Wind Rose Comparison for Large WRF-NMM Domain (6 km resolution) - Charlo Airport

Wind Direction Frequency (%) Average Wind Speed (m/s)

48121620242832

N NNENE

ENE

E

ESE

SESSESSSW

SW

WSW

W

WNW

NWNNW

09-NMM-6km-V3.1.1

2009

09-NMM-6km-V3.2.1

Wind Rose - Charlo Airport 2009Wind Direction Frequency (%) (wind from)

2468

N NNENE

ENE

E

ESE

SESSESSSW

SW

WSW

W

WNW

NWNNW

09-NMM-6km-V3.1.1

2009

09-NMM-6km-V3.2.1

Average Wind Speed (m/s)

Note: Percentage of Calms: 2.22 %

48121620242832

N NNENE

ENE

E

ESE

SESSESSSW

SW

WSW

W

WNW

NWNNW

09-NMM-6km-V3.1.1

2009

09-NMM-6km-V3.2.1

Wind Rose - Charlo Airport 2009Wind Direction Frequency (%) (wind from)

2468

N NNENE

ENE

E

ESE

SESSESSSW

SW

WSW

W

WNW

NWNNW

09-NMM-6km-V3.1.1

2009

09-NMM-6km-V3.2.1

Average Wind Speed (m/s)

Note: Percentage of Calms: 2.22 %

Page 8: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Effects of Horizontal Resolutions - 1

• Both WRF-NMM simulations over-predict wind speed due to averaging / under-prediction of surface roughness over water / land interface

– Improved accuracy with finer (2 km) resolution

• WRF-NMM – CALMET simulation provides better prediction of wind speed due to better representation of surface characteristics and vertical resolution

• No significant improvement in agreement with wind direction between the three models.

Wind Rose Comparison for Gaspe Airport

Wind Direction Frequency (%) Average Wind Speed (m/s)

4812162024

N NNENE

ENE

E

ESE

SESSESSSW

SW

WSW

W

WNW

NWNNW

NMM-2.0km

2009

2009-NMM-6.0km

CALMET-2.0km

Wind Rose - Gaspe Airport 2009Wind Direction Frequency (%) (wind from)

246

8N

NNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

09-NMM-2.0km

2009

09-NMM-6.0km

CALMET-2.0km

Average Wind Speed (m/s)

Note: Percentage of Calms: 15.58 %

4812162024

N NNENE

ENE

E

ESE

SESSESSSW

SW

WSW

W

WNW

NWNNW

NMM-2.0km

2009

2009-NMM-6.0km

CALMET-2.0km

Wind Rose - Gaspe Airport 2009Wind Direction Frequency (%) (wind from)

2468

NNNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

09-NMM-2.0km

2009

09-NMM-6.0km

CALMET-2.0km

Average Wind Speed (m/s)

Note: Percentage of Calms: 15.58 %

Page 9: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Effects of Horizontal Resolutions - 2

• Wind speed predictions improve with finer resolution (250 m) WRF-NMM- CALMET model– Slight under-prediction versus over-prediction for other models

• No significant change in agreement with wind direction between the four models.

Wind Rose Comparison for Bathurst Airport

Wind Direction Frequency (%) Average Wind Speed (m/s)

Page 10: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Effects of Horizontal Resolutions - 3

• Descriptive statistics used to evaluate simulation results

Wind Speed Summary Statistics – Bathurst Station

MODEL – Horizontal ResolutionMODEL – Horizontal Resolution BiasBias MAEMAE RMSERMSEWRF-NMM - 6 kmWRF-NMM - 6 km 0.92 1.73 2.19WRF-NMM - 2 kmWRF-NMM - 2 km 0.82 1.72 2.19WRF-NMM/CALMET - 2 kmWRF-NMM/CALMET - 2 km -0.13 1.34 1.73WRF-NMM/CALMET - 250 mWRF-NMM/CALMET - 250 m -0.09 1.31 1.65

5.0

5.0

Pre

dic

tio

ns

(m

/s)

Observation (m/s)

PerfectAgreement

Factor of Two

WRF-NMM-6 km

WRF-NMM-2 km

CALMET-250 m

10.0

10.0

15.0

15.0

Q-Q Plot of Observed vs. Modelled Wind Speed – Bathurst Station

Page 11: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Effects of Horizontal Resolutions - 4

• Finer resolution improves:– BIAS (average of all the differences between forecast and observation)– Mean Average Error (the average magnitude of errors between forecast and

observation)– Root Mean Square Error (measures the average magnitude of the error in a set of

forecasts, with increase weighting on larger errors)

• Descriptive statistics consistent with wind rose data– Over-prediction of wind speeds at larger horizontal resolutions– Good agreement of wind speeds at smaller horizontal resolutions– More accurate predictions with higher horizontal resolutions– WRF-NMM/CALMET on 250 m resolution most accurate simulation

Page 12: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Validation with Local Observations - 1

• WRF-NMM/CALMET on 250 m horizontal resolution run for 2009 meteorology• Observations from local (2.5 km away) meteorological station available for

1999 to 2003• Good agreement noted between 2009 generated meteorology and

observational data

X - Site

X – Nearby Site

Page 13: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Validation with Local Observations - 2

Wind Direction Frequency (%) Average Wind Speed (m/s)

51015202530

NNNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNWSite-2009 -CALMET

Nearby-Site9903

Observation

Wind Direction Frequency (%)

5

10N

NNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

Site-2009 -CALMET

Nearby-Site9903

Observation

Average Wind Speed (km/h)

WIND ROSE Site Wind Roses - 2009 vs. Nearby Site 1999-2003

51015202530

NNNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNWSite-2009 -CALMET

Nearby-Site9903

Observation

Wind Direction Frequency (%)

5

10N

NNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

Site-2009 -CALMET

Nearby-Site9903

Observation

Average Wind Speed (km/h)

WIND ROSE Site Wind Roses - 2009 vs. Nearby Site 1999-2003

CALMET Derived Site Wind Rose 2009 vs. Nearby Site 1999-2003 Observations

Page 14: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

One Year vs. Five Year Meteorological Datasets

• WRF-NMM/CALMET on 250 m horizontal resolution run for 2009 meteorology compared to 2004 to 2008 meteorology

• Differences between simulated meteorology for a 5-year period and a 1-year period are inconsequential

CALMET Derived Site Wind Rose 2009 vs. Nearby Site 1999-2003 Observations

Wind Direction Frequency (%) Average Wind Speed (m/s)

51015202530

NNNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

Site-2009 -CALMET

CALMET(2004-2008)

Wind Direction Frequency (%)

5

10N

NNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

Site-2009 -CALMET

CALMET(2004-2008)

Average Wind Speed (km/h)

WIND ROSE Site Wind Roses - CALMET (2009) vs. CALMET (2004-2008)

51015202530

NNNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

Site-2009 -CALMET

CALMET(2004-2008)

Wind Direction Frequency (%)

5

10N

NNE

NE

ENE

E

ESE

SE

SSES

SSW

SW

WSW

W

WNW

NW

NNW

Site-2009 -CALMET

CALMET(2004-2008)

Average Wind Speed (km/h)

WIND ROSE Site Wind Roses - CALMET (2009) vs. CALMET (2004-2008)

For well simulated meteorological data sets a single year of the derived three-dimensional meteorology can, for most purposes, be considered to provide a reasonable description of on-site observations.

Page 15: Presented at: European Geoscience General Assembly Vienna, Austria  -  April, 2011 Authors:

Conclusions

1. Improvements in wind speeds predictions are achieved with use of finer resolution meso-scale meteorological modelling in shoreline complex terrain situations

2. Wind direction is not sensitive to effects of finer resolution modelling in these situations

3. Coupled WRF-NMM/CALMET system provides a sound alternate to costly and time consuming on-site data collection

4. One year of simulated meteorology corresponds closely to longer periods of record and can used satisfactorily in environmental assessments / air dispersion modelling if generated meteorology sufficiently represents on-site observations.