Date of Award
2014
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Earth System Science
Committee Chair
Robert Griffin
Committee Member
Franklin (Pete) Robertson
Committee Member
Udaysankar Nair
Subject(s)
Monsoons, Climatology, Climatic changes--Research, Brahmaputra River--Climatic factors, Ganges River (India and Bangladesh)--Climatic factors, Meghna River (Bangladesh)--Climatic factors
Abstract
There are 630 million people that live within the Ganges-Brahmaputra-Meghna River basin (GBM) who depend on these rivers for their livelihood (Frenken, 2011). These rivers greatly depend upon the precipitation and rain fall to contribute to their flows. Researchers and end-users in the GBM basin depend on climate precipitation datasets to help them study the impact precipitation has the hydrology and agricultural. To properly utilize a dataset, the source input data, the algorithms used to merge the data, and the final temporal and spatial resolution of the dataset all need to be properly understood. The goal for this study is to statistically compare four climate precipitation datasets, GPCP, CMAP, CHIRPS and APHRODITE, in the GBM basin to identify significant differences among them. Their respective data will be compared and, the evaluations will be shared with the SERVIR science team and the hydrologists at ICIMOD. Then, SERVIR and ICIMOD can better aid decision makers in the GBM Basin by improving their knowledge and interpretation of precipitation datasets and how it will affect the people of the GBM Basin.
Recommended Citation
Brenton, James, "A statistical comparison of four precipitation climate datasets in the Ganges-Brahmaputra-Meghna river basin" (2014). Theses. 73.
https://louis.uah.edu/uah-theses/73