HPCCprojects:Effect of Terrain and Vegetation structure on Snowmelt: Difference between revisions
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==Project description== | ==Project description== | ||
<span class=" | <span class=" | ||
">The vegetation structure and topography are the primary factors affecting the amount of solar radiation reaching the surface of the earth. Considering the fact that 33 % of the earth surface consists of vegetation it is very important to understand how vegetation affects the variability of solar radiation as it makes it way to the ground surface. This can help us understand how much of variability in surface solar radiation is caused by vegetation structure. This can help us answer several pertinent questions such as: How does the vegetation structure affect the variability of solar radiation on the earth surface? How does this variability scale up on large spatial scales? What is the relative effect of topography and vegetation structure on the surface solar radiation? How is the variability in solar radition relates with variability in vegetation structural parameters such as canopy height, (Leaf Area Index) LAI , fractional canopy cover etc. | |||
One of the main challenges in estimating surface solar radiation is the surface heterogeneity and its effect therein on surface solar radiation. | |||
The is the first work of its kind which tries to understand the interplay of solar radiation with three dimensional vegetation structure and topography using waveform lidar remote sensing. This work presented here also addresses the effect of vegetation on solar radiation variability at a landscape level. | |||
'''Relevance to hydrological and snow science''' | |||
Solar energy drives the hydrological cycle. Solar radiation along with terrain characteristics are the main factors affecting this cycle. In most of the hydrological studies the solar energy estimation over the vegetation areas is either neglected or it is over simplifies by considering vegetation as a turbid medium or using LAI as a proxy for the amount of vegetation. Incorporating the effect of 3-D vegetation structure would help us understand the hydrological cycle and snowmelt better. It will also lead to better estimation of soil moisture, hydrological flow and snowmelt.</span> | |||
==Objectives== | ==Objectives== | ||
<span class= | <span class=> | ||
To study the effects of Vegetation Structure and Terrain on snowmelt | |||
</span> | |||
==Time-line== | ==Time-line== | ||
<span class= | <span class=>6/4/2013 & 4/4/2014</span> | ||
==Models in use== | ==Models in use== | ||
<span class= | <span class=>Topoflow</span> | ||
==Results== | ==Results== | ||
<span class= | <span class=>In Preparation</span> | ||
==Users== | ==Users== | ||
<span class= | <span class=>List the CSDMS HPCC users of your project:</span> | ||
* <span class= | * <span class=>[http://geog.umd.edu/gradprofile/Anand/Anupam Anupam Anand]</span> | ||
==Funding== | ==Funding== | ||
<span class= | <span class=>University of Maryland</span> | ||
==Publications and presentations== | ==Publications and presentations== | ||
<span class= | <span class=> | ||
• Effect of vegetation structure on subcanopy solar radiation: a comparative study. AGU, Sanfrancisco, CA. 2012. | |||
• Modeling effects of vegetation and topography on subcanopy solar irradiance using waveform Lidar. AGU, Sanfrancisco, CA. 2011. | |||
• Exploring the effect of topography on canopy radiation regime. Association of American Geographers Annual Conference, and Washington, DC. 2010. | |||
</span> | |||
==Links== | ==Links== | ||
<span class="remove_this_tag">This would be the place to provide links that are related to your project.</span> | <span class="remove_this_tag">This would be the place to provide links that are related to your project.</span> | ||
<span class= | <span class=>Research project</span> | ||
[[Category:Lecture project]] [[Category:Research project]] | [[Category:Lecture project]] [[Category:Research project]] | ||
Revision as of 11:48, 6 June 2013
Effect of Terrain and Vegetation structure on Snowmelt
Project description
The vegetation structure and topography are the primary factors affecting the amount of solar radiation reaching the surface of the earth. Considering the fact that 33 % of the earth surface consists of vegetation it is very important to understand how vegetation affects the variability of solar radiation as it makes it way to the ground surface. This can help us understand how much of variability in surface solar radiation is caused by vegetation structure. This can help us answer several pertinent questions such as: How does the vegetation structure affect the variability of solar radiation on the earth surface? How does this variability scale up on large spatial scales? What is the relative effect of topography and vegetation structure on the surface solar radiation? How is the variability in solar radition relates with variability in vegetation structural parameters such as canopy height, (Leaf Area Index) LAI , fractional canopy cover etc. One of the main challenges in estimating surface solar radiation is the surface heterogeneity and its effect therein on surface solar radiation. The is the first work of its kind which tries to understand the interplay of solar radiation with three dimensional vegetation structure and topography using waveform lidar remote sensing. This work presented here also addresses the effect of vegetation on solar radiation variability at a landscape level.
Relevance to hydrological and snow science
Solar energy drives the hydrological cycle. Solar radiation along with terrain characteristics are the main factors affecting this cycle. In most of the hydrological studies the solar energy estimation over the vegetation areas is either neglected or it is over simplifies by considering vegetation as a turbid medium or using LAI as a proxy for the amount of vegetation. Incorporating the effect of 3-D vegetation structure would help us understand the hydrological cycle and snowmelt better. It will also lead to better estimation of soil moisture, hydrological flow and snowmelt.
Objectives
To study the effects of Vegetation Structure and Terrain on snowmelt
Time-line
6/4/2013 & 4/4/2014
Models in use
Topoflow
Results
In Preparation
Users
List the CSDMS HPCC users of your project:
Funding
University of Maryland
Publications and presentations
• Effect of vegetation structure on subcanopy solar radiation: a comparative study. AGU, Sanfrancisco, CA. 2012.
• Modeling effects of vegetation and topography on subcanopy solar irradiance using waveform Lidar. AGU, Sanfrancisco, CA. 2011. • Exploring the effect of topography on canopy radiation regime. Association of American Geographers Annual Conference, and Washington, DC. 2010.
Links
This would be the place to provide links that are related to your project.
Research project
