Date of Award

1-1-2019

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Atmospheric and Environmental Sciences

Content Description

1 online resource (vii, 168 pages) : color illustrations, color maps.

Dissertation/Thesis Chair

Aiguo Dai

Committee Members

Brian Rose, Jiping Liu, Oliver Elison Timm

Keywords

Climate modeling, Model improvement, Model physics, Observational datasets, Precipitation, Resolution dependence, Precipitation (Meteorology), Rain and rainfall

Subject Categories

Atmospheric Sciences

Abstract

To fully characterize precipitation, one often needs not only the accumulative amount (A), but also its frequency (F), intensity (I) and duration (D). These characteristics have large impacts on Earth’s hydrologic cycle. Aiming for a comprehensive understanding, this dissertation investigates precipitation characteristics and their dependence on data resolution and model physics using observational datasets and comprehensive global climate models (GCMs).

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