HPCCprojects:Interannual variability and glacier length: Difference between revisions

From CSDMS
(I am using various glacier models to assess the effect of interannual variability on glacier length.)
 
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==Project description==
==Project description==
<span class="remove_this_tag">Provide a brief description of what your project is all about</span>
<span class="remove_this_tag">Valley glacier moraines are commonly used to infer past mean
annual precipitation and mean melt-season temperature. However, recent research has demonstrated that, even in steady climates, multi-decadal, kilometer-scale fluctuations in glacier length occur in response to stochastic, year-to-year variability in mass balance. When interpreting moraine sequences it is important to include the effect of interannual weather variability on glacier length; moraines record advances that are forced either by interannual variability or by a combination of climate change and interannual variability. </span>


==Objectives==
==Objectives==
<span class="remove_this_tag">List the main objectives of your project</span>
<span class="remove_this_tag">1) Assess the importance of year-to-year climate variability (weather) on glacier length in a variety of climate settings
2) Create quantitative metrics to test if a glacier length change could be caused by weather variability.
</span>


==Time-line==
==Time-line==
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==Models in use==
==Models in use==
<span class="remove_this_tag">Information about models / software you use</span>
<span class="remove_this_tag">We are using 1 and 2D Matlab-based numerical glacier models</span>


==Results==
==Results==

Revision as of 10:49, 3 October 2014


Interannual variability and glacier length

Project description

Valley glacier moraines are commonly used to infer past mean annual precipitation and mean melt-season temperature. However, recent research has demonstrated that, even in steady climates, multi-decadal, kilometer-scale fluctuations in glacier length occur in response to stochastic, year-to-year variability in mass balance. When interpreting moraine sequences it is important to include the effect of interannual weather variability on glacier length; moraines record advances that are forced either by interannual variability or by a combination of climate change and interannual variability.

Objectives

1) Assess the importance of year-to-year climate variability (weather) on glacier length in a variety of climate settings 2) Create quantitative metrics to test if a glacier length change could be caused by weather variability.

Time-line

Provide (estimated) start date & end date, etc

Models in use

We are using 1 and 2D Matlab-based numerical glacier models.

Results

List the results of your project

Users

List the CSDMS HPCC users of your project:

  • <name HPCCuser>

Funding

Provide your project funding sources including the award number

Publications and presentations

This would be the place to list your achievements, journal articles, conference abstracts, etc

Links

This would be the place to provide links that are related to your project.

Choose one of the two categories mentioned below, that your project suites the best