Analysis and Application of Sub-Seasonal To Seasonal Prediction Data
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Abstract:
The main goal of the subseasonal to seasonal (S2S) international forecasting research project is to improve S2S forecast skill, and especially the 0-60 day predictability skills. The China Meteorological Data Service Center takes part into the construction of the S2S multimodel database, has collected the S2S data of 11 original centers in the project. This article introduces the list of S2S model data, parameters, and file naming rules, discusses the data read algorithm, data analysis algorithm, and data visualization algorithm, evaluates the correctness, completeness and timeliness of the data, calculates the historical average of the data up to 20 years of reforecasts, calculates the anomaly and forecast values of the 5day, 7day and 10day scales, and then introduces the S2S visualization product applications. Based on the analysis of the ECMWF anomaly graphic products in the same period, the S2S data products are promoted in the shortterm climate forecast of the China Meteorological Administration.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.