Arctic Observation and Reanalysis Integrated System: A New Data Product for Validation and Climate Study

Arctic Observation and Reanalysis Integrated System: A New Data Product for Validation and... DATASETS Arctic Observation and Reanalysis Integrated System A New Data Product for Validation and Climate Study yb Mttheaw w . Christensen , a li b ehrangi , t anrist s . l ’e Cuyer , n or Man b . w ood , Mttheaw d . l ebso Ck , and g rae Me l . s tephens n recent decades, sea ice and snow cover extent has the-art satellite, reanalysis, and in situ datasets from declined across the Arctic. The melting has been peer-reviewed products using a conventional grid and Iconfirmed using numerous observational tools. name-labeling framework. It is primarily geared for While climate models also tend to predict melting scientific inquiry, product validation, and assessment trends, a wide range of projections manifest due to of the radiation and moisture budgets in the Arctic. uncertainties in Arctic processes. Causes for the rapid To study the complex interactive processes among loss of sea ice are complex and linked to the surface radiation, clouds, precipitation, sea ice, and snow radiation budget, possibly through cloud and sea (to name a few), numerous disparate datasets are ice feedbacks. Furthermore, the rapid degradation required. Being confronted by the large number of (through warming http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

Arctic Observation and Reanalysis Integrated System: A New Data Product for Validation and Climate Study

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
eISSN
1520-0477
D.O.I.
10.1175/BAMS-D-14-00273.1
Publisher site
See Article on Publisher Site

Abstract

DATASETS Arctic Observation and Reanalysis Integrated System A New Data Product for Validation and Climate Study yb Mttheaw w . Christensen , a li b ehrangi , t anrist s . l ’e Cuyer , n or Man b . w ood , Mttheaw d . l ebso Ck , and g rae Me l . s tephens n recent decades, sea ice and snow cover extent has the-art satellite, reanalysis, and in situ datasets from declined across the Arctic. The melting has been peer-reviewed products using a conventional grid and Iconfirmed using numerous observational tools. name-labeling framework. It is primarily geared for While climate models also tend to predict melting scientific inquiry, product validation, and assessment trends, a wide range of projections manifest due to of the radiation and moisture budgets in the Arctic. uncertainties in Arctic processes. Causes for the rapid To study the complex interactive processes among loss of sea ice are complex and linked to the surface radiation, clouds, precipitation, sea ice, and snow radiation budget, possibly through cloud and sea (to name a few), numerous disparate datasets are ice feedbacks. Furthermore, the rapid degradation required. Being confronted by the large number of (through warming

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Jun 1, 2016

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