A vertically-integrated approach to climate science : from measurements and machine learning to models and policy
Thesis: Ph. D. in Climate Physics and Chemistry, Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences, 2016.
Main Author: | Garimella, Sarvesh |
---|---|
Other Authors: | Daniel J. Cziczo. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/107087 |
Similar Items
-
Cloud condensation nucleus activity comparison of dry- and wet-generated mineral dust aerosol : the significance of soluble material
by: Garimella, Sarvesh
Published: (2014) -
A machine-learning approach to aerosol classification for single-particle mass spectrometry
by: Christopoulos, Costa (Costa D.)
Published: (2018) -
On the use of climate models to assess the impacts of regional climate change on water resources
by: Risbey, James S. (James Sydney)
Published: (2010) -
Computer modeling of a vertical array in a stratified ocean
by: Li, Lin
Published: (2010) -
The estimation of the fractional coverage of rainfall in climate models
by: Eltahir, E. A. B. (Elfatih A. B.), 1961-
Published: (2010)