User:Amallen - Revision history

Amallen: /* Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data */ deleted link to NSF proposal

2011-01-18T19:55:08Z

Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data: deleted link to NSF proposal

Amallen: /* Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data */

2011-01-14T01:32:47Z

Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data

Amallen: /* Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data */

2011-01-14T01:16:27Z

Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data

Amallen: My page

2011-01-14T00:23:20Z

My page

New page

= Personal Info =
My name is Adam Mallen, and I'm a graduate student in the Computational Sciences PhD program at Marquette University. This page serves as a resource for me while working on my research.

= Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data =
TODO: Create project description. Discuss different pieces maybe... ?

[[Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data | My project outline]]

= Papers =

TODO: Add papers! Each paper should link to its own page. Those pages should each contain a short description (written by me) and a link to the real paper.

= Log =

[[Adam Mallen Work Log | Work log]]

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 = Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data =
 The goal of this project is to develop efficient techniques for assimilating glider data into nonlinear ocean models. First, it will involve taking current particle filtering data assimilation techniques for 2D ocean models and scaling them to work on higher dimensional, more realistic, and more complex models—such as models with unknown time varying strengths of vortices—in a computationally feasible way. To start, these techniques will focus on assimilating data from tracers which only move with the flow, unlike gliders which can maneuver themselves. Then, the next task is to develop techniques for assimilating glider-like data (instead of tracer data) into these models and utilizing model-based prediction to help inform future flight paths of the glider. The final task will be to scale the ocean model to include a third spatial dimension and adapting the previous method to inform the glider's future flight path in three dimensions.
 == Project Outline ==

@@ Line 5: / Line 5: @@
 The goal of this project is to develop efficient techniques for assimilating glider data into nonlinear ocean models. First, it will involve taking current particle filtering data assimilation techniques for 2D ocean models and scaling them to work on higher dimensional, more realistic, and more complex models—such as models with unknown time varying strengths of vortices—in a computationally feasible way. To start, these techniques will focus on assimilating data from tracers which only move with the flow, unlike gliders which can maneuver themselves. Then, the next task is to develop techniques for assimilating glider-like data (instead of tracer data) into these models and utilizing model-based prediction to help inform future flight paths of the glider. The final task will be to scale the ocean model to include a third spatial dimension and adapting the previous method to inform the glider's future flight path in three dimensions.
-You can find my NSF GRFP proposal for this project [[NSF GRFP Adam Mallen Research Topics and Proposed Plan.pdf|here]]
+You can find my NSF GRFP proposal for this project [[Media:NSF GRFP Adam Mallen Research Topics and Proposed Plan.pdf | here]]
 == Project Outline ==

@@ Line 3: / Line 3: @@
 = Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data =
-TODO: Create project description. Discuss different pieces maybe... ?
+The goal of this project is to develop efficient techniques for assimilating glider data into nonlinear ocean models. First, it will involve taking current particle filtering data assimilation techniques for 2D ocean models and scaling them to work on higher dimensional, more realistic, and more complex models—such as models with unknown time varying strengths of vortices—in a computationally feasible way. To start, these techniques will focus on assimilating data from tracers which only move with the flow, unlike gliders which can maneuver themselves. Then, the next task is to develop techniques for assimilating glider-like data (instead of tracer data) into these models and utilizing model-based prediction to help inform future flight paths of the glider. The final task will be to scale the ocean model to include a third spatial dimension and adapting the previous method to inform the glider's future flight path in three dimensions.
 [[Nonlinear Filtering for Data Assimilation of Semi-Lagrangian Ocean Glider Data | My project outline]]
 = Papers =