evaluating gem-lam precipitable water vapour output using the southern alberta gps network during...

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Evaluating GEM-LAM precipitable water vapour output using the southern Alberta GPS network during UNSTABLE 2008 Craig D. Smith Climate Research Division, Environment Canada, Saskatoon, SK Jason Milbrandt Atmospheric Numerical Prediction Research Section, Meteorological Research Division, Environment Canada, Dorval, QC Susan Skone Dept. of Geomatics Engineering, University of Calgary, Calgary, AB CMOS Congress 2009, May 31-June 4, Halifax,

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Evaluating GEM-LAM precipitable water vapour output using the southern Alberta

GPS network during UNSTABLE 2008 Craig D. Smith

Climate Research Division, Environment Canada, Saskatoon, SK

Jason MilbrandtAtmospheric Numerical Prediction Research Section, Meteorological Research

Division, Environment Canada, Dorval, QC

Susan SkoneDept. of Geomatics Engineering, University of Calgary, Calgary, AB

CMOS Congress 2009, May 31-June 4, Halifax, NS

Page 2

Background: GPS Derived PWV

• GPS signal is refracted or “delayed”

by the atmosphere

• Through post-processing techniques,

the signal delay due to Precipitable

Water Vapour (PWV) can be isolated

• Requires precise P0

• PWV at temporal resolution of 30 to 60 minutes

• no costly expendables

• all weather conditions

• Accuracies of ± 1-2 mm PWV

Page 3

AAlberta lberta

GGPS PS

AAtmospheric tmospheric

MMoisture oisture

EEvaluationvaluation

Background: GPS Derived PWV

• July 2003 and 2004

• ~110 radiosonde flights

• Olds, Airdrie, and Sundre

• July 2004: 10 GPS point intercomparisons with the 15km GEM REG

• Oct-2008 A-O

Page 4

A-GAME

a) Airdrie/Calgary

5

10

15

20

25

30

5 10 15 20 25 30

Radiosonde PWV (mm)

GP

S P

WV

(m

m)

2003 2004 1:1 line

Year r2Bias*

mm

SD

mmn

*Bias = (GPS – RS)

2003 .84 -0.9 1.2 17

2004 .81 1.4 2.3 10

2003 .84 -1.0 1.4 14

2003 .76 -1.7 1.6 24

2004 .82 -0.6 1.4 14Airdrie

Olds

Sundre

(Smith et al, 2008)

Page 5

Analysis Time: Hour 0

0

5

10

15

20

25

30

0 5 10 15 20 25 30

GPS PWV (mm)

GE

M P

WV

(m

m)

Prognosis Time: 3 hrs

0 5 10 15 20 25 30

GPS PWV (mm)

Prognosis Time: 6 hrs

0

5

10

15

20

25

30

0 5 10 15 20 25 30GPS PWV (mm)

GE

M P

WV

(m

m)

Prognosis Time: 9 hrs

0 5 10 15 20 25 30

GPS PWV (mm)

d)c)

a) b)

Elapsed Forecast

Timer2

Bias

mm

SD

mmn

All .63 0.5 2.9 870

0 .71 0.2 2.5 209

3 .71 0.4 2.5 224

6 .59 0.5 3.0 219

9 .52 0.9 3.2 218

(Smith et al, 2008)

Page 6

UNSTABLE 2008

• 8 GPS receivers, 2 fixed radiosondes• 1km GEM LAM

– Same physics package as 15km GEM REG– Enhanced (1km) topography and land-cover – July 7-23 (IOP)– Initialized daily at 15Z, 12 1-hour prognosis including PWV– During IOP: severe weather forecasting and mission guidance– Post IOP: generated output for examining pre-storm processes

and storm evolution– Requires validation – No vertical or horizontal interpolation

• Preliminary results

Page 7

UNSTABLE 2008

Limestone Mt

Olds

Cremona

Cochrane UofC Strathmore

Vulcan

Priddis

EA3

WVX

Page 8

UNSTABLE 2008: GPS vs. Radiosonde PWV

r2Bias*

mm

SD

mmn

.92 0.2 0.9 50

*Bias = (GPS – RS)

Olds GPS vs. EA3 Radiosonde

0

5

10

15

20

25

30

0 5 10 15 20 25 30

Radiosonde PWV (mm)

OL

DS

GP

S P

WV

(m

m)

Page 9

UNSTABLE 2008: 1km GEM LAM vs. GPS PWV

r2Bias*

mm

SD

mmn

.52 1.0 2.9 1198

*Bias = (GEM – GPS)

GEM vs. GPS: ALL

0

5

10

15

20

25

30

0 5 10 15 20 25 30

GPS PWV (mm)

GE

M P

WV

(m

m)

(Includes Limestone)

Page 10

UNSTABLE 2008: 1km GEM LAM vs. GPS PWV

GEM vs. GPS: Bias and SD

-0.5

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

15 16 17 18 19 20 21 22 23 0 1 2 3

Forecast Time (UTC)

mm

Bias SD

GEM vs. GPS: r2

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

15 16 17 18 19 20 21 22 23 0 1 2 3

Forecast Time (UTC)

r-sq

uar

ed

Page 11

UNSTABLE 2008: 1km GEM LAM vs. GPS PWV

GEM Bias and SD vs. Elevation

-1.0

0.0

1.0

2.0

3.0

4.0

5.0

750 1000 1250 1500 1750 2000

Elevation (m)

Bia

s o

r S

D (

mm

)

Bias

SD

Linear (Bias)

r-squared vs. Elevation

0.30

0.40

0.50

0.60

0.70

0.80

0.90

1.00

750 1000 1250 1500 1750 2000

Elevation (m)

r2

Delta-Z (GEM - GPS Elevation)

-200

-150

-100

-50

0

50

Prid

dis

Uo

fC

Vu

lca

n

Co

ch

ran

e

Cre

mo

na

Stra

thm

ore

Old

s

Lim

es

ton

e

Del

ta-Z

(m

)

Page 12

Page 13

Page 14

Summary and Conclusions

• GPS vs. RS intercomparison of PWV at EA3/Olds very good

• Overall, 1km GEM LAM is too wet (average bias of 1.0 mm)

• Bias starts low at initialization and peaks between 21Z and 23Z

• Correlations start high but drop towards 19Z before increasing to a peak towards the end of the model run - ????

• GEM vs. GPS correlations unaffected by elevation but the bias tends to increase with elevation (can’t all be explained by Delta-Z)

Page 15

Further Work

• Figure out what is wrong with GEM LAM data at Limestone and fix

• Add some missing GPS data (Rocky Mt. House and Okotoks)

• More spatial and temporal trend analysis

• Include more of the mobile RS data

• Add 2.5km GEM LAM and revisit the 15km GEM REG for UNSTABLE 2008

Page 16

Thank you!Thank you!