Storage and streamflow generation in Canadian Shield basins Saskatoon, SK

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Storage and streamflow generation in
Canadian Shield basins
IP3 Network Final Results Workshop
Saskatoon, SK
C. Spence
September 9, 2011
Acknowledgements
• NHRC - Newell Hedstrom,
•
•
•
•
•
Raoul Granger, Kelly Best
U of S – Xiu Juan Guan, Ross
Phillips, Amanda Burke, Jason
Hosler, Kirby Ebel
INAC - Bob Reid, Meg
McCluskie, Shawne Kokelj,
Steve Kokelj
WSC - Dale Ross, Murray
Jones, Dave Helfrick, Jamison
Romano, Dwayne Ofukany,
Laurie McGregor, Colin
McCann, Brian Yurris
GSC – Mike Demuth
AGRG – Chris Hopkinson
DRAFT – Page 2 – May 29, 2016
Objectives
• Prior to IP3, the influence of
small scale storage processes
on catchment scale runoff
response had not been fully
investigated.
• The objective of much of the
IP3 effort on the subarctic
Canadian Shield landscape
was to determine how small
scale processes upscaled, so
as to develop new
parameterizations that could
improve prediction at the
catchment scale.
DRAFT – Page 3 – May 29, 2016
Baker Creek
• The Baker Creek Research
•
•
•
•
DRAFT – Page 4 – May 29, 2016
Basin drains runoff from ~155
km2 (~170 km2 at the mouth).
It is located in the Great Slave
High Boreal Ecoregion and
Slave Structural Province of
the Precambrian Canadian
Shield.
Land cover is dominated by
exposed bedrock (40% of
basin area) with substantial
portions of wetlands (16%) and
coniferous forest (21%).
There are 349 lakes in the
basin that occupy 23% of the
area.
Permafrost is discontinuous;
absent from bedrock, well
drained areas and water
courses.
Storage measurements
DRAFT – Page 5 – May 29, 2016
Processes
• Coincident locations of the wettest
•
surface soils in spring and the deepest
frost table depth in summer suggest
strong feedbacks between soil
moisture and ground thaw.
Spatiotemporal soil moisture and
ground thaw correlations change with
the topology, topography and typology
of response units, demonstrating that
all soil filled areas cannot be treated
similarly in hydrologic models.
DRAFT – Page 6 – May 29, 2016
Processes
DRAFT – Page 7 – May 29, 2016
Processes
DRAFT – Page 8 – May 29, 2016
Processes
DRAFT – Page 9 – May 29, 2016
Parameterization
a
mPe 
b
c
Qgw
Qgs  Qgp
mPe = 0.0004
mPe = 0.09
DRAFT – Page 10 – May 29, 2016
mPe = 1.1
Parameterization
1
Lower Martin
Trail
Eagle Pass
Duckfish
0.8
CE,O
0.6
0.4
0.2
0
0
0.2
0.4
0.6
runoff ratio (R/P)
DRAFT – Page 11 – May 29, 2016
0.8
1
Parameterization
Start
each basin
• A new tile connector scheme has been
developed for MESH, but awaits
coding and testing.
Note cumulative storage from t-1 time step
each tile
Input forcing data
Vertical water balance
Recalculate S
S>ST
yes
Q>0
no
Q=0
Sb =  S
Are there connected tiles
among the active ones
Define active
sequences = f (Sb)
no
yes
connected tiles
active tiles
connected tile
sequences = f (Sb)
Aa = f (Sb)
Ac = f (Sb)
Ls,a = f (Aa)
Ls,c = f (Ac)
Route runoff as f (Ls,a)
Route runoff as f (Ls,c)
End
DRAFT – Page 12 – May 29, 2016
Prediction
6
45
modelled
observed
snowmelt and rainfall
35
4
30
25
3
20
2
15
10
1
5
0
15-Apr-08
15-May-08
14-Jun-08
DRAFT – Page 13 – May 29, 2016
14-Jul-08
13-Aug-08
12-Sep-08
0
12-Oct-08
Rainfall and snowmelt (mm)
5
40
3
Streamflow @ Lower Martin (m /s)
e_v3_dissolve_on_hru.shp
adjacent basins
headwaters
lakes
adjacent basins
headwaters
lakes
Prediction
1.2
0.1
1
0.05
R/P; CE,O intercept
CE,O - R/P Slope
0
0.8
0.6
0.4
-0.1
-0.15
y = -24.578x + 0.9955
R2 = 0.6166
0.2
-0.05
y = 0.0073x - 0.5281
R2 = 0.9812
-0.2
0
-0.25
0
0.005
0.01
0.015
0.02
0.025
0
Mean lake size / Upland bedrock area
DRAFT – Page 14 – May 29, 2016
20
40
60
bedrock percentage
80
100
Summary
• There is a better understanding of hydrological processes, including the interplay
•
•
•
between frozen ground / and surface wetness, the manifestation of contributing areas
and hydrological connectivity.
New parameterization:
1) the “Guan” number incorporates the relative influence of topology and advective
heat on frost table depth and, in turn, hillslope storage capacity.
2) connectivity is related to streamflow and controls the runoff ratio and there is
some indication connectivity signatures can be related to watershed attributes.
3) characteristic catchment storage-discharge curves have been identified, and
these have led to the design of a new tile connector scheme.
We were unable to document a reduction in predictive uncertainty because
parameterization schemes that are true to the processes and behaviour of hydrologic
response units have not been fully tested.
There is a legacy of data that was collected in a nested fashion; there is momentum
towards a robust research catchment in the region; this could be a site that can be
used to document biogeophysical state and change.
DRAFT – Page 15 – May 29, 2016
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