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Editorial Type:
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Article Type:
Research Article

Anomaly Nesting: A Methodology to Downscale Seasonal Climate Simulations from AGCMs

Vasubandhu MisraCenter for Ocean–Land–Atmosphere Studies, Institute of Global Environment and Society, Inc., Calverton, Maryland

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Masao KanamitsuExperimental Climate Prediction Center, University of California, San Diego, La Jolla, California

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Print Publication:
01 Sep 2004
DOI:
https://doi.org/10.1175/1520-0442(2004)017<3249:ANAMTD>2.0.CO;2
Page(s):
3249–3262
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Abstract

In this paper a methodology is proposed to downscale coarse-resolution atmospheric general circulation model (AGCM) seasonal simulations. Anomaly nesting involves replacing the climatology of the driving AGCM with observed (in this case the National Centers for Environmental Prediction reanalysis) climatology at the lateral boundaries of the nested regional climate model (the regional spectral model). In this study the methodology is tested over South America and the neighboring ocean basins. A comparison of the austral summer seasonal simulation with the conventional way of nesting, namely driving the regional model with full AGCM forcing, reveals that substantial gains in the deterministic skill are realized through anomaly nesting. It is also shown that the high-frequency variance (at 3–30- and 30–40-day time scales) is more realistic from the anomaly nesting procedure.

Corresponding author address: Vasubandu Misra, Center for Ocean–Land–Atmosphere Studies, Institute of Global Environment and Society, Inc., 4041 Powder Mill Rd., Suite 302, Calverton, MD 20705. Email: misra@cola.iges.org

Abstract

In this paper a methodology is proposed to downscale coarse-resolution atmospheric general circulation model (AGCM) seasonal simulations. Anomaly nesting involves replacing the climatology of the driving AGCM with observed (in this case the National Centers for Environmental Prediction reanalysis) climatology at the lateral boundaries of the nested regional climate model (the regional spectral model). In this study the methodology is tested over South America and the neighboring ocean basins. A comparison of the austral summer seasonal simulation with the conventional way of nesting, namely driving the regional model with full AGCM forcing, reveals that substantial gains in the deterministic skill are realized through anomaly nesting. It is also shown that the high-frequency variance (at 3–30- and 30–40-day time scales) is more realistic from the anomaly nesting procedure.

Corresponding author address: Vasubandu Misra, Center for Ocean–Land–Atmosphere Studies, Institute of Global Environment and Society, Inc., 4041 Powder Mill Rd., Suite 302, Calverton, MD 20705. Email: misra@cola.iges.org

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