Improvement of Soil Moisture Initialization for a Global Seasonal Forecast System
نویسندگان
چکیده
منابع مشابه
Will Arctic sea ice thickness initialization improve seasonal forecast skill?
Arctic sea ice thickness is thought to be an important predictor of Arctic sea ice extent. However, coupled seasonal forecast systems do not generally use sea ice thickness observations in their initialization and are therefore missing a potentially important source of additional skill. To investigate how large this source is, a set of ensemble potential predictability experiments with a global...
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[1] Climate model prediction skill is currently limited in response to poor land surface soil moisture state initialization. However, initial soil moisture state prediction skill can potentially be enhanced by the assimilation of remotely sensed near-surface soil moisture data in off-line simulation. This study is one of the first to evaluate such potential using actual remote sensing data toge...
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In situ measurements of soil moisture are invaluable for calibrating and validating land surface models and satellite-based soil moisture retrievals. In addition, longterm time series of in situ soil moisture measurements themselves can reveal trends in the water cycle related to climate or land cover change. Nevertheless, on a worldwide basis the number of meteorological networks and stations ...
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The impact of soil moisture on the forecast of a small-scale convective system, and sensitivity of results to the convective parameterization used, are investigated through Eta Model simulations (run in an operational-like setting) of a convective system occurring on 27 May 1997 in Texas. The event was influenced by a southwestward-propagating gravity wave from early morning convection in Arkan...
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Article history: Received 12 February 2008 Received in revised form 16 June 2008 Accepted 18 June 2008 Available online 26 June 2008
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2016
ISSN: 1598-3560
DOI: 10.14191/atmos.2016.26.1.035