exploring the utility of quantitative network design in evaluating arctic sea ice thickness sampling strategies
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ID: 140394
2015
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Abstract
We present a quantitative network design (QND) study of the Arctic sea
ice–ocean system using a software tool that can evaluate hypothetical
observational networks in a variational data assimilation system. For a
demonstration, we evaluate two idealised flight transects derived from NASA's
Operation IceBridge airborne ice surveys in terms of their potential to
improve 10-day to 5-month sea ice forecasts. As target regions for the
forecasts we select the Chukchi Sea, an area particularly relevant for
maritime traffic and offshore resource exploration, as well as two areas
related to the Barnett ice severity index (BSI), a standard measure of
shipping conditions along the Alaskan coast that is routinely issued by ice
services. Our analysis quantifies the benefits of sampling upstream of the
target area and of reducing the sampling uncertainty. We demonstrate how
observations of sea ice and snow thickness can constrain ice and snow
variables in a target region and quantify the complementarity of combining
two flight transects. We further quantify the benefit of improved atmospheric
forecasts and a well-calibrated model.
| Reference Key |
kaminski2015theexploring
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|---|---|
| Authors | ;T. Kaminski;F. Kauker;H. Eicken;M. Karcher |
| Journal | journal of applied polymer science |
| Year | 2015 |
| DOI |
10.5194/tc-9-1721-2015
|
| URL | |
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