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dc.contributor.authorMajhi, Ipshita
dc.contributor.authorAlexeev, Vladimir
dc.contributor.authorCherry, Jessica
dc.contributor.authorGroisman, Pavel
dc.contributor.authorCohen, Judah
dc.date.accessioned2020-04-29T00:24:41Z
dc.date.available2020-04-29T00:24:41Z
dc.date.issued2012-12
dc.identifier.urihttp://hdl.handle.net/11122/11036
dc.descriptionWe acknowledge the generous support of the National Science Foundation under grant ARC-0909525,as well as the JAMSTEC- IARC cooperative agreement.en_US
dc.description.abstractIt 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).en_US
dc.language.isoen_USen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorologyen_US
dc.titleUncertainties in Arctic Precipitationen_US
dc.typePosteren_US
refterms.dateFOA2020-04-29T00:24:42Z


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