Development and Validation of a New Land Surface Model for JMA's Operational Global Model Using the CEOP Observation Dataset(<Special Issue>Coordinated Enhanced Observing Period(CEOP))
スポンサーリンク
概要
- 論文の詳細を見る
The operational global numerical weather prediction model at the Japan Meteorological Agency (JMA) currently adopts a Simple Biosphere (SiB) model. JMA has been developing a new SiB model (New-SiB) as an upgrade to the current SiB model (Op-SiB). New-SiB has improved treatment of soil and snow processes compared with Op-SiB. The results of integration experiments performed over a period of 3 years indicate that New-SiB predicts snow-covered areas more accurately than Op-SiB. Moreover, the monthly mean surface air temperature during the polar night is better simulated using New-SiB. To validate the diurnal cycle of near-surface meteorological elements in New-SiB, short-range forecasts obtained using the two SiB models are verified using CEOP (Coordinated Enhanced Observing Period) in situ observation datasets for the Enhanced Observing Period 3 (EOP-3). New-SiB generally simulates diurnal variations in near-surface temperature more accurately than Op-SiB, especially over snow-covered areas; however, the short-range forecast experiments also reveal a number of shortcomings in both models. The CEOP datasets are highly valuable in evaluating numerical weather-prediction models.
- 2007-02-28
著者
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HIRAI Masayuki
Numerical Prediction Division, Japan Meteorological Agency
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SAKASHITA Takuya
Numerical Prediction Division, Japan Meteorological Agency
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KITAGAWA Hiroto
Numerical Prediction Division, Japan Meteorological Agency
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TSUYUKI Tadashi
Numerical Prediction Division, Japan Meteorological Agency
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HOSAKA Masahiro
Climate Research Department, Meteorological Research Institute
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Hirai Masayuki
Numerical Prediction Division Japan Meteorological Agency
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Tsuyuki Tadashi
Numerical Prediction Division Japan Meteorological Agency
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Kitagawa Hiroto
Numerical Prediction Division Japan Meteorological Agency
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Hosaka Masahiro
Climate Research Department Meteorological Research Institute
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Sakashita Takuya
Numerical Prediction Division Japan Meteorological Agency
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Hosaka Masahiro
Climate Res. Dep. Meteorological Res. Inst. Tsukuba