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Description
It is crucial to measure precipitation accurately to predict future water budget with confidence. In our study, we aim to understand and compare precipitation datasets and discrepancies associated with them. We divide our datasets into three classes-raw data (data that have only been preprocessed to minimum quality control);corrected products (data that have been adjusted by their respective authors); finally, a reanalysis dataset (a combination of observed data and model output).
Publication Date
12-17-2012
Keywords
Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology
Recommended Citation
Majhi, Ipshita; Alexeev, Vladimir; Cherry, Jessica; Groisman, Pavel; and Cohen, Judah, "Uncertainties in Arctic Precipitation" (2012). Research Posters. 48.
https://ualaska.researchcommons.org/uaf_iarc_posters/48
Handle
http://hdl.handle.net/11122/11036