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    Uncertainties in Arctic Precipitation

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    AGU_2012_Ipshita_Majhi.pdf
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    Author
    Majhi, Ipshita
    Alexeev, Vladimir
    Cherry, Jessica
    Groisman, Pavel
    Cohen, Judah
    Keyword
    Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology
    Metadata
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    URI
    http://hdl.handle.net/11122/11036
    Abstract
    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).
    Description
    We acknowledge the generous support of the National Science Foundation under grant ARC-0909525,as well as the JAMSTEC- IARC cooperative agreement.
    Date
    2012-12
    Type
    Poster
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