Uncertainties in Arctic Precipitation

We acknowledge the generous support of the National Science Foundation under grant ARC-0909525,as well as the JAMSTEC- IARC cooperative agreement. It is crucial to measure precipitation accurately to predict future water budget with confidence. In our study, we aim to understand and compare precipit...

Full description

Bibliographic Details
Main Authors: Majhi, Ipshita, Alexeev, Vladimir, Cherry, Jessica, Groisman, Pavel, Cohen, Judah
Format: Still Image
Language:English
Published: 2012
Subjects:
Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology
Arctic
Online Access:http://hdl.handle.net/11122/11036
id ftunivalaska:oai:scholarworks.alaska.edu:11122/11036
record_format openpolar
spelling ftunivalaska:oai:scholarworks.alaska.edu:11122/11036 2023-05-15T14:59:02+02:00 Uncertainties in Arctic Precipitation Majhi, Ipshita Alexeev, Vladimir Cherry, Jessica Groisman, Pavel Cohen, Judah 2012-12 http://hdl.handle.net/11122/11036 en_US eng http://hdl.handle.net/11122/11036 Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology Poster 2012 ftunivalaska 2023-02-23T21:37:36Z We acknowledge the generous support of the National Science Foundation under grant ARC-0909525,as well as the JAMSTEC- IARC cooperative agreement. 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). Still Image Arctic University of Alaska: ScholarWorks@UA Arctic
institution Open Polar
collection University of Alaska: ScholarWorks@UA
op_collection_id ftunivalaska
language English
topic Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology
spellingShingle Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology
Majhi, Ipshita
Alexeev, Vladimir
Cherry, Jessica
Groisman, Pavel
Cohen, Judah
Uncertainties in Arctic Precipitation
topic_facet Research Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorology
description We acknowledge the generous support of the National Science Foundation under grant ARC-0909525,as well as the JAMSTEC- IARC cooperative agreement. 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).
format Still Image
author Majhi, Ipshita
Alexeev, Vladimir
Cherry, Jessica
Groisman, Pavel
Cohen, Judah
author_facet Majhi, Ipshita
Alexeev, Vladimir
Cherry, Jessica
Groisman, Pavel
Cohen, Judah
author_sort Majhi, Ipshita
title Uncertainties in Arctic Precipitation
title_short Uncertainties in Arctic Precipitation
title_full Uncertainties in Arctic Precipitation
title_fullStr Uncertainties in Arctic Precipitation
title_full_unstemmed Uncertainties in Arctic Precipitation
title_sort uncertainties in arctic precipitation
publishDate 2012
url http://hdl.handle.net/11122/11036
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://hdl.handle.net/11122/11036
_version_ 1766331150856355840

Similar Items