Evaluation of Seven Different Atmospheric Reanalysis Products in the Arctic*
Atmospheric reanalyses depend on a mix of observations and model forecasts. In data-sparse regions such as the Arctic, the reanalysis solution is more dependent on the model structure, assumptions, and data as-similation methods than in data-rich regions. Applications such as the forcing of ice–ocea...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.645.9060 http://psc.apl.washington.edu/zhang/Pubs/Lindsay_etal_reana2014.pdf |
| Summary: | Atmospheric reanalyses depend on a mix of observations and model forecasts. In data-sparse regions such as the Arctic, the reanalysis solution is more dependent on the model structure, assumptions, and data as-similation methods than in data-rich regions. Applications such as the forcing of ice–ocean models are sen-sitive to the errors in reanalyses. Seven reanalysis datasets for the Arctic region are compared over the 30-yr |
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