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Lake Spearman Correlation Slope Standard error

Erie 0.93 1.11 3.58 Huron 0.88 0.98 3.65 Michigan 0.92 0.99 3.13

Superior 0.87 1.20 3.70

 

Ludovicus P.H. (Rens) Van Beek1, Tessa Eikelboom2, Michelle T.H. Van Vliet3, and Marc F.P. Bierkens1,4

1 Utrecht University, 2 VU University Amsterdam, 3 Wageningen University, 4 Deltares (Netherlands: m.bierkens@geo.uu.nl)

Introduction

Modelling global fresh water temperature because:

• Water temperature influences physical, chemical and biological processes: ice formation, hydro-geochemistry, aquatic habitats.

• Rivers transport heat along the Earth’s drainage network: local effects v. regional effects.

Objectives

1. Develop a physically-based global surface freshwater temperature model;

2. Validate simulated surface freshwater temperatures against observations for different environmental settings.

Model setup

Incorporation of a physical-deterministic energy-balance model for surface freshwater in the global-scale hydrological model PCR-

GLOBWB.

Snow cover

QBf Canopy

Store 2 Store 1

Store 3

PREC Epot

Eact

QDR

P QSf

P T

River ice

Tw

TA RS

Snow/Rain QChannel

PREC Epot

QChannel

TA RS

Snow/Rain LH(Epot)

Q

Model structure of PCR-GLOBWB

Water energy balance model for a rectangular channel

A

) ( ) (x T x Q

Cp

w

) ] ) (

(

[ dx

x x QT QT Cp

w

As

dx

L H



wE S

, , 1

m

w p s i s i

i

C q T

A

) ( ) (x T x Q

Cp

w

) ] ) (

(

[ dx

x x QT QT Cp

w

As

dx

L H



wE S

, , 1

m

w p s i s i

i

C q T

, , 1

( ) ( )

(1 )

M

w p w p w w w p s i s i

i

hT vhT

C C S L L H E C q T

t x



 

 

 

dr a sf a bf a

w w a

p w M

i

i s i s p

w q T q T q T

f pT f

C T

q

C 1

1

,

,

Water Temperature

River ice formation

H H S L L

dt dz

i i

w

f1 2 (1)

23 32 32

2

i b

c

n

n n

n

i

 0 . 0493 h

0.23

z

i0.57

 

2 2

Ph W  P hW

Data and validation

Holdridge Life Zone Classification

Ocean Tundra Cold Parklands Forest Tundra

Boreal Forest Cool Desert Steppe Temperate Forest

Hot Desert Chapparal Warm Temperate Forest Tropical Semi-Arid

Tropical Dry Forest Tropical Seasonal Forest Tropical Rain Forest

Validation

Holdridge Life Zones

0.00 0.25 0.50 0.75 1.00 1.25

Tundra Cold Parklands

Forest Tundra Boreal Forest

Cool De ser

t Steppe

Tem perate Forest

Hot De sert Chapparal

Wa rm Temp

erate Forest Tropical Se mi-Ar

id

Tropical Dry Forest Tropical Se

asonal Forest Tropical Ra

in Forest

Correlation, Alpha [-]

0 5 10 15 20 25 30

T [°C]

Correlation Alpha Mean temperature

Alpha [-]

0 0.5 1 1.5 2 2.5 3

USGS/NOAA dayly data

Spearman correlation [-]

0 0.25 0.5 0.75 1

Arkansas abov e Pueblo

Arkansas John Martin

Arkansas L as Anima

s

Colorado Ca meo

Colorado Lee's Ferry Colorado Silver Colorado Utah Stateline

Delaware Trenton Green River

Campbells Jackso

n River

Potomac Washington DC San

Joaquin Vernalis

South Fork Mckenzie St Croix M

illtown

Wh

ite River Centerton Spearman correlation [-]

0 0.25 0.5 0.75 1

Arkansas abov e Pueblo

Arkansas John Martin

Arkansas L as Anima

s

Colorado Ca meo

Colorado Lee's Ferry Colorado Silver Colorado Utah Stateline

Delaware Trenton Green River

Campbells Jackso

n River

Potomac Washington DC San

Joaquin Vernalis

South Fork Mckenzie St Croix M

illtown

Wh

ite River Centerton

Seasonal anomalies water-air temperatrure

GEMS Climatology

Modelling Global Fresh Surface Water Temperature

Conclusions

• Good reproduction of zonal and seasonal temperature variations; over-estimation in tropics; reasonable

reproduction of daily temperatures.

• Large anomalies between surface water and atmospheric temperatures, especially for high latitudes and rivers

traversing multiple climate zones: dedicated water temperature model is a necessity.

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