Focus Areas

Data    Data & Model    Prediction    Scalability

  Education & Outreach

 

Data

In this focus area, we will investigate convergent data science approaches for fusion of heterogenous data , reducing noise from our data , annotation via advanced visualization , and advanced auto-annotation techniques with human in the loop . This focus area will prepare our dataset for further investigation of ML and physical models in Focus Area 2 and Focus Area 3.


Team Leads

Mike MacFerrin
Uni. of Colorado Boulder

Mohemad Mokbel
University of Minnesota

Team Members

Aryya Gangopadhyay
UMBC 

Nicole Schlegal
JPL

Vandana Janeja, Director
UMBC

 

Sharad Sharma
UNT

Don Engel
UMBC

Nicholas Holschuh
Amherst College

Shashi Shekhar, Co-PI
University of Minnesota

 

 

Data & Model

In this Focus Area, we will develop convergent physics informed machine learning method for generating the 3D model of ice bed , tracking the internal layers of ice sheet and integrating them in ice dynamic model , and investigating causal relationship between ice sheets, sea ice and atmosphere.


Team Leads

Mathieu Morlighem, Co-Director
Dartmouth

Jianwu Wang, Co-PI
UMBC

Team Members

Md Osman Gani
UMBC

Nicholas Holschuh
Amherst College

Aneesh Subramanian
University of Colorado Boulder

 

 

Prediction

In this Focus Area we will develop ML algorithms to forecast ice sheet mass loss on a century-scale, extract spatiotemporal patterns in surface mass balance, hydrology, and atmospheric drivers  and spatial-temporal pattern mining for data-driven understanding of ice dynamics.


Team Leads

Team Members

Denis Felikson
Morgan State Unviersity 

Mathieu Morlighem, Co-Director
Dartmouth

 

 

Vandana Janeja, Director
UMBC

Mohemad Mokbel
University of Minnesota

Md Osman Gani
UMBC

 

 

Scalability

In this focus area we will utilize supercomputers to scale up all of our previous algorithms. Utilizing computational power enabled by advanced cyberinfrastructure is necessary to harness the vast and diverse data from polar regions.


Team Leads

Jianwu Wang, Co-PI
UMBC

Mathieu Morlighem, Co-Director
Dartmouth

Team Members

Sharad Sharma
UNT

Don Engel
UMBC

 

 

Education and Outreach

iHARP champions multiple clusters of research-integrated educational initiatives, with specific focus on facilitating cross-disciplinary collaborations, training next-generation multi-disciplinary researchers and engaging the public in scientific inquiry as related to climate change and data science.


Team Leads

Lujie Chen
UMBC  

Vandana Janeja, Director
UMBC

Team Members

Nicholas Holschuh
Amherst College