Upload
kenyon-turner
View
46
Download
7
Embed Size (px)
DESCRIPTION
Sensitivity analysis on reservoir water temperature under future climate change Nihar R. Samal 1 , Donald Pierson 2 , Y. , M. S. Zion 2 , Klaus D. Joehnk 3 , E. M. Owens 4 , E . Schneiderman 2 1 Earth System Research Center, University of New Hampshire, Durham, USA - PowerPoint PPT Presentation
Citation preview
Sensitivity analysis on reservoir water temperature under future climate change Nihar R. Samal1, Donald Pierson2, Y. , M. S. Zion2, Klaus D. Joehnk3, E. M. Owens4, E. Schneiderman2
1 Earth System Research Center, University of New Hampshire, Durham, USA2 Bureau of Water Supply, New York City Department of Environmental Protection
3 CSIRO Land and Water, Black Mountain, Canberra ACT 2601, Australia4 Upstate Freshwater Institute, Syracuse, USA, Contact: [email protected]
INTRODUCTION & OBJECTIVES:The potential impact of climate change on lakes and reservoirs will be strongly influenced by changes in thermal stratification and mixing. However, systematic investigation of the effects of climate change on reservoir hydrodynamics are not common.
In this study we perform a sensitivity analysis on reservoir water temperature considering the meteorological and watershed effects under present day climate data (baseline conditions) and future simulations (change factor adjusted baseline conditions) .
Identifying the dominate physical processes affecting the reservoir water temperature can provide guidance for others simulating the effects of climate change on lake and reservoir hydrodynamics.
CONCLUSIONS The inter-annual variability in air temperature is influencing lake thermal
characteristics more than the inter-annual variability in solar radiation. The sensitivity of future simulations of reservoir thermal stratification to changes
in air temperature is therefore, related to two different causes: 1) Climate sensitivity of air temperature. It is the change in air temperature embodied in the GCM data which is predicted with the high certainty,
and which shows the greatest change relative to other meteorological drivers of the reservoir model . 2) Model sensitivity to changes in air temperature. It appears that predictions of changing thermal stratification can be made with a
high level of certainty that is similar to that now attributed to future scenarios of air temperature
RESULTS: IV. Baseline and Future (A2)Temperature distribution:
Coupling of hydrothermal and hydrological model run with climate data
19
66
19
67
19
68
19
69
19
70
19
71
19
72
19
73
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
50
100
150
200
250
300
350 A. Stratification Characteristics (onset and loss in days) under All effects
All effects Baseline
19
66
19
67
19
68
19
69
19
70
19
71
19
72
19
73
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
50
100
150
200
250
300
350 B. Stratification Characteristics (onset and loss in days) under Meteorological effects
Meteorological effects Baseline
19
66
19
67
19
68
19
69
19
70
19
71
19
72
19
73
19
74
19
75
19
76
19
77
19
78
19
79
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
50
100
150
200
250
300
350 C. Stratification Characteristics (onset and loss in days) under Watershed ef-fects
Watershed effects Baseline
Three Stage Analysis:I. Watershed model (WSM) and Reservoir model (RESM)
using baseline and A2 Scenarios meteorological forcingA. WSM:met-A2, RESM:met-A2B. WSM:met-Bas, RESM:met-A2C. WSM:met-A2, RESM:met-Bas
II. Meteorologic change sensitivities (Change factors created from baseline Changed Factors: CF1= (95thP-mean), CF2= 2(95thP-mean)
CF3= - (mean-5thP), CF4= - 2(mean-5thP)
III. Single future meteorology runs: Only A2 specific meteorological parameter is changed in each run while
others are baseline
DATA AND METHODSBaseline meteorological forcing (1966-2004):Cannonsville Reservoir in New York City
WatershedsGlobal Circulation Models: (Avg. of all three A2 FOR 2080-2100) Canadian Center for Climate modeling and analysis (CGCM3) European Center Hamburg Model (ECHAM) Goddard Institute of Space Studies (GISS)
III. Monin-Obukhov length:
II. Meteorologic change sensitivities (Change factors created from baseline
I. Watershed model (WSM) and Reservoir model (RESM) using baseline and A2 Scenarios meteorological forcing
V. Single future meteorology runs