Computing and Climate

By James H. Faghmous, Vipin Kumar, Shashi Shekhar. 2015

6 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Anuj Karpatne
2. Vipin Kumar
3. Gowtham Atluri
4. Arindam Banerjee
5. Michael S. Steinbach
6. James H. Faghmous

In Global and Planetary Change

1. Anuj Karpatne
2. Vipin Kumar
3. Gowtham Atluri
4. Michael S. Steinbach
5. Shashi Shekhar
6. James H. Faghmous
7. Arindam Banerjee
8. Auroop Ratan Ganguly

In Statistical and Nonlinear Physics

1. Michael S. Steinbach
2. Vipin Kumar
3. Arindam Banerjee
4. Nagiza F. Samatova
5. Anuj Karpatne
6. Gowtham Atluri
7. Pavel Berkhin

Citations in the corpus

• Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, background): “, in bio-informatics [7] and climate science [8], [9]).”
• Machine Learning for the Geosciences: Challenges and Opportunities (2017, background): “The role of big data in geosciences has also been recognized in recent perspective articles (e.g., [9], [10]) and special issues of journals and magazines (e.g., [11]).”