improving lake process prediction within the climate

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Improving lake process prediction within the Climate Forecast System for North America Jiming Jin, Shaobo Zhang, and Zhemin Lu, Departments of Watershed Sciences, Utah State University Michael Ek and Yihua Wu Environmental Modeling Center (EMC) National Centers for Environmental Prediction (NCEP)

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Page 1: Improving lake process prediction within the Climate

Improving lake process prediction within the Climate Forecast System for North America

Jiming Jin, Shaobo Zhang, and Zhemin Lu,

Departments of Watershed Sciences, Utah State University

Michael Ek and Yihua Wu Environmental Modeling Center (EMC)

National Centers for Environmental Prediction (NCEP)

Page 2: Improving lake process prediction within the Climate

Project Motivations

• The Climate Forecast System (CFS) version 2 does not include a lake scheme.

• For resolved lakes (i.e. the Great Lakes), the CFS model treats them as ocean; and unresolved small lakes are treated as land.

• Lake processes and their interactions with the atmosphere are neglected. • Potentially degrading CFS climate forecasting skill.

Page 3: Improving lake process prediction within the Climate

Project Objectives

1) To incorporate a physically based lake model into CFS

2) To evaluate and improve the prediction skill of CFS

Page 4: Improving lake process prediction within the Climate

The lake fractions for the CFS model grids at a 100 km resolution

Page 5: Improving lake process prediction within the Climate

The FLake Model

• The Freshwater Lake (Flake) model developed by Mironov (2008): http://www.flake.igb-berlin.de

• FLake is a one dimensional, two-layer physically based lake model that

simulates: • lake temperature • surface fluxes • lake ice thickness

• It is currently operational in climate system models in Europe and Canada.

Page 6: Improving lake process prediction within the Climate

Lake Thermal Stratification

Epilimnion

Metalimnion

Hypolimnion

Temperature (oC)

Dep

th (

m)

The FLake model

Page 7: Improving lake process prediction within the Climate

The bathymetry of the Great Lakes

The bathymetry of the Great Lakes (m)

Lake Superior

Lake Michigan

Lake Erie

Lake Ontario

Lake Huron

Page 8: Improving lake process prediction within the Climate

1984-2010

Lake surface temperature simulations

Page 9: Improving lake process prediction within the Climate

The Improved FLake model

Epilimnion

Metalimnion

Hypolimnion

Temperature (oC)

Dep

th (

m)

One additional layer is added to the Flake model to describe the hypolimnion

Page 10: Improving lake process prediction within the Climate

1984-2010

Lake surface temperature simulations

Page 11: Improving lake process prediction within the Climate

Lake surface temperature simulations

Page 12: Improving lake process prediction within the Climate

2008-2009

Lake temperature profile simulations for Lake Superior

Page 13: Improving lake process prediction within the Climate

September 2008

Lake temperature profile simulations for Lake Superior

March 2009

Page 14: Improving lake process prediction within the Climate

Lake ice simulations

1984-2002

0.32 0.56

Page 15: Improving lake process prediction within the Climate

if (flag_lake == 0) then ! Noah

call sfc_drv (…)

else if (flag_lake == 1) then ! Noah with FLake

call sfc_drv_Flake(…)

end if

subroutine sfc_drv_Flake(…) … if ( RFrLake (iix,iiy) .ge. lake_pct_min ) then ! RFrLake > lake_pct_min, FLake is activated call sfc_drv(…)

call flake(…) ! Do flux average

End if end subroutine sfc_drv_Flake Currently, lake_pct_min is set to 10%

CFS subroutines ghphys.f sfc_drv.f Flake subroutine sfc_drv_Flake.f

Lake fraction and lake depth from the Global Lake Database version 2 (Kourzeneva, 2009)

Coupling between CFS and FLake

Page 16: Improving lake process prediction within the Climate

• Initial times: Z00 on 1st, 6th , 11th, 16th, 21st , and 26th

• Run time: 9 months

• Hindcasts: Starting from April 2013 through December 2014 to produce 9 leads for each simulation month for 2014.

• There are total 6 ensemble members for each simulation month from January through December 2014 .

Ensemble simulations with CFS and CFS_FLake for 2014

Page 17: Improving lake process prediction within the Climate

Temperature hindcasts with CFS and CFS_Flake for 2014

0.46℃

-0.17℃

Page 18: Improving lake process prediction within the Climate

Surface skin temperature hindcasts with CFS and CFS_FLake for 2014

0.51℃

-0.29℃

Page 19: Improving lake process prediction within the Climate

Precipitation hindcasts with CFS and CFS_Flake for 2014

0.60mm

-0.66mm

Page 20: Improving lake process prediction within the Climate

Lake Fraction distribution in the Great Lakes region in CFS_FLake

Page 21: Improving lake process prediction within the Climate

Correlation between hindcasts and observations for the Great Lakes region

CFS temperature hindcasts

CFS_FLake temperature hindcasts

0

0.2

0.4

0.6

0.8

1

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

lead_1

lead_2

lead_3

lead_4

lead_5

lead_6

lead_7

lead_8

lead_9

0

0.2

0.4

0.6

0.8

1

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

lead_1

lead_2

lead_3

lead_4

lead_5

lead_6

lead_7

lead_8

lead_9

Observation: the Climate Research Unit (CRU) data

Page 22: Improving lake process prediction within the Climate

Temperature observations and hindcasts for the Great Lakes region

Page 23: Improving lake process prediction within the Climate

Correlation between hindcasts and observations for the Great Lakes region

CFS precipitation hindcasts

CFS_FLake precipitation hindcasts

0

0.2

0.4

0.6

0.8

1

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

lead_1

lead_2

lead_3

lead_4

lead_5

lead_6

lead_7

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lead_9

0

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1

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

lead_1

lead_2

lead_3

lead_4

lead_5

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lead_8

lead_9

Page 24: Improving lake process prediction within the Climate

Ice

thic

knes

s (m

) Ice fractio

n (%

)

0

10

20

30

40

50

60

70

80

90

100

0

0.1

0.2

0.3

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1 2 3 4 5 6 7 8 9 10 11 12

CFS CFS_Flake OBS

Lake ice hindcasts for the Great Lakes for 2014

Page 25: Improving lake process prediction within the Climate

Lake ice hindcasts for the Great Lakes for 2014

Jan. 2014 Feb. 2014

Apr. 2014 Mar. 2014

Page 26: Improving lake process prediction within the Climate

Summary

1) We added one additional layer to the FLake model for deep lakes (>50 m) to improve the simulations of lake stratifications.

2) The improved FLake model produces better simulations for lake surface temperature, temperature profile and lake ice.

3) The coupled CFS_FLake model changes precipitation and temperature forecasts at both global and regional scales when compared to the original CFS.

4) The coupled model produces a better spatial distribution of lake ice than the original CFS for the Great Lakes region.

5) Longer term ensemble simulations with the coupled CFS-FLake model are needed to more objectively evaluate its performance in climate forecasts.