Error growth and adaptive observations

Hyun Mee Kim, Yong Hoon Youn, Hyo Sang Chung

Research output: Contribution to journalConference article

Abstract

The variations in impact of adaptive strategies with a change in observation density was studied. It was observed that for a small number of observations, several of the adaptive strategies tested reduced forecast error more than nonadaptive strategy. A large number of observations made it comparitively more difficult to reduce forecast errors using adaptive observations. The evolved singula vector (SV) strategies were found to perform as well or better than the adjoint-based strategies for both observation densities.

Original languageEnglish
Pages (from-to)2831-2832
Number of pages2
JournalBulletin of the American Meteorological Society
Publication statusPublished - 2004 Jun 1
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: 2004 Jan 112004 Jan 15

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forecast

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Kim, Hyun Mee ; Youn, Yong Hoon ; Chung, Hyo Sang. / Error growth and adaptive observations. In: Bulletin of the American Meteorological Society. 2004 ; pp. 2831-2832.
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Error growth and adaptive observations. / Kim, Hyun Mee; Youn, Yong Hoon; Chung, Hyo Sang.

In: Bulletin of the American Meteorological Society, 01.06.2004, p. 2831-2832.

Research output: Contribution to journalConference article

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AU - Kim, Hyun Mee

AU - Youn, Yong Hoon

AU - Chung, Hyo Sang

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