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Team # 3694 Page 1 of 37
Table of Contents
Table of Contents ................................................................................................................. 1
Defining the problem ....................................................................................................... 5
II. Methods ........................................................................................................................... 6
Mathematically Modeling Sea Level Rise ....................................................................... 6
Temperature Data ............................................................................................................. 7
The Ice Sheet .................................................................................................................... 8
Mass Balance – Accumulation ........................................................................................ 9
Mass Balance - Ablation ................................................................................................ 10
Mass Balance and Sea Level Rise ................................................................................. 13
Thermal Expansion ........................................................................................................ 13
Localization .................................................................................................................... 14
III. Results .......................................................................................................................... 17
Output Sea Level Rise Data ........................................................................................... 17
Submersion Simulation Results ..................................................................................... 19
IV. Discussion and Conclusion .......................................................................................... 23
V. Recommendations ......................................................................................................... 26
References .......................................................................................................................... 28
Appendix A Sea Level Rise Simulation Script .................................................................. 29
Appendix B Topological Raster Matrix Creation Script ................................................... 33
Appendix C Submersion Simulation Script ....................................................................... 35
Appendix D Florida Cities Data Initialization ................................................................... 37
Team # 3694 Page 2 of 37
I. Introduction
Strong evidence of a global warming trend exists, and powerful models have been created
to estimate future climate. Temperatures have increased by about 0.5
o
C over the last 15
years, and global temperature is at its highest level in the past millennium . Although the
warming trend is quite evident, the consequences of such wide scale climate change are
still poorly understood. One of the most-feared consequences of global warming is sea
level rise, and for good reason. TOPEX/Poseidon satellite altimeter indicates that sea
levels rose 3.2 ± 0.2 mm annually during 1993-1998 . Indeed, Titus et al estimate that a 1
meter rise in sea levels could cause $270-475 billion in damages in the United States
alone.
A number of complex factors underlie sea level rise. Thermal expansion of water due to
temperature changes has long been implicated as the major component of sea level rise;
however, recent studies have shown that thermal expansion alone cannot account for a
majority of the observed increases . Mass balance of large ice sheets, in particular the
Greenland Ice Sheet, is now believed to play a major role in sea level. The mass balance
is controlled by two major processes, accumulation (influx of ice to the sheet) and
ablation (loss of ice from the sheet) . Accumulation is primarily the result of snowfall;
ablation is a result of sublimation and melting.
Contrary to popular belief, however, floating ice does not play a significant role in sea
level rise. By Archimedes’ Principle, the volume increase ΔV of a body of water with
density ρ
ocean
due to melting of floating ice of weight W (assumed to be freshwater, with
liquid density ρ
water
) is given by
−=∆
oceanwater
WV
ρρ
11
(1)
Team # 3694 Page 3 of 37
The density of seawater is approximately 1024.8 kg/m
3
; the mass of the Arctic sea ice is
approximately 2 x 10
13
kg . Thus, the volume change if all of the Arctic sea ice melted is
given by:
38
33
13
1084.4
8.1024
1
1000
1
102 m
m
kg
m
kg
kgV ×=
−×=∆
(2)
Approximating that 360 Gt of water causes a rise of 1 mm in sea level ,
mm
Gt
mm
kg
Gt
m
kg
m 0015.0
360
1
10072.9
11000
1084.4
113
38
=⋅
×
⋅⋅×
(3)
This small change in sea level is inconsequential for our model, since the accuracy is well
below one thousandth of a millimeter.
We also neglect the contribution of Antarctic Ice Sheet because its overall effect on sea
level rise is minimal and difficult to quantify. Between 1978 to1987, satellite-borne
microwave radiometer data indicated that Arctic ice decreased by 3.5%, while Antarctic
ice showed no statistically significant changes . Cavalieri et al projected minimal melting
in the Antarctic over the next 50 years . For this reason, only the Greenland Ice Sheet is
considered in the model.
Several models already exist for mass balance and for thermal expansion. However, these
models are very complex with respect to many variables, and often disagree with each
other (see for example and ). We wish to develop a model based on simple physical
processes, as solely a function of temperature and time. In this way the analysis of the
effects of the warming is simplified, and the dependence of sea level rise on temperature
becomes evident. Furthermore, we develop a model that can be extended to several
different temperature forcings, allowing us to compare firsthand the effect of carbon
emissions on sea level rise.
Team # 3694 Page 4 of 37
Model Overview
A deeper understanding of ice sheet melting would provide valuable insight into sea level
rise. By creating a framework that incorporates the contributions of ice sheet melting and
thermal expansion, we can estimate global mean sea level over a 50-year time period.
The model achieves several important objectives :
1) Accurately fits past sea level rise data
2) Provide enough generality to predict sea level rise over a 50-year span
3) Compute sea level increases for Florida as a function of solely global temperature and
time
Ultimately, the model predicts consequences to human populations. In particular, we
analyze the impact of sea level rise on the state of Florida, which many consider
particularly vulnerable due to its generally low elevation and proximity to the Atlantic
Ocean. From this analysis, we assess possible strategies to minimize damage as a result
of sea level rise due to global warming.
Assumptions
In order to streamline our model we have made several key assumptions.
1) The sea level rise is primarily due to two factors, the balance of accumulation/ablation
of the Greenland Ice Sheet and the thermal expansion of the ocean. This ignores the
contribution of processes such as calving and direct human intervention, which are
difficult to model accurately and have minimal effect on sea level rise .
2) The air is the only heat source for melting the ice. Greenland’s land is permafrost, and
because of large amounts of ice on its surface it is assumed at a relatively constant
temperature. This allows us to use convection as a mode of heat transfer.
Team # 3694 Page 5 of 37
3) The temperature within the ice changes linearly at the steady-state. This assumption
allows us to solve the heat equation for Neumann conditions. By subtracting the steady-
state term from the heat equation, we can solve for the homogeneous boundary
conditions.
4) Sublimation and melting processes do not interfere with each other. This assumption
drastically simplifies the computation needed for the model since sublimation and
melting can be considered separately. Additionally, the assumption is very reasonable.
Sublimation primarily occurs at below freezing temperatures, a condition during which
melting does not normally occur. Thus, the two processes are temporally isolated as in
our model.
5) The surface of the ice sheet is homogeneous with regards to temperature, pressure,
and chemical composition. This assumption is necessary because high-resolution spatial
temperature data for Greenland cannot be obtained in our framework. Additionally, we
lack the computational resources and time to simulate such a variation, which would
require the use of finite element methods and mesh generation for a complex topology.
Defining the problem
Let M denote the mass balance of the Greenland Ice Sheet. Given a temperature forcing
function, we must quantitatively estimate the sea level increases SLR that occur as a
result. These increases are a sum of M and thermal expansion TE effects, corrected for
local trends. Further, we must quantitatively and qualitatively the long-term (50 years)
effect on Florida’s major cities and metropolitan areas from global warming, as a result
of high SLR. This analysis can be used to make recommendations as to how to best
prepare for and reduce SLR effects.
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资源评论
- 为伊消得772014-02-08对建模有帮助
- 石头772014-01-07不错,对建模有帮助
- qq_419626022018-11-10但是这是A题吧【笑哭】
- daniel_can2014-03-19不错,有帮助
- a9541995932013-12-28刚刚弄建模,很有帮助
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