Journal
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
Volume 59, Issue 2, Pages 273-276Publisher
BLACKWELL PUBLISHING
DOI: 10.1111/j.1600-0870.2006.00217.x
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The measure developed by Langland and Baker to estimate and compare the utility of arbitrary sets of observations for reducing forecast error is re-derived here. The formula uses adjoints of both a forecast model and a data assimilation system. Although the final expression here is nearly identical to that developed by Langland and Baker, the third-order character of their measure is now explicitly presented. The appropriateness of going beyond first order is explained and a warning of the measure's nonlinearity possibly clouding its interpretation is offered.
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