Model data for "A hybrid dynamical-statistical model for advancing subseasonal tropical cyclone prediction over the western North Pacific"
- 1. Key Laboratory of Meteorological Disaster of Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, China
- 2. National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA; University Corporation for Atmospheric Research, Boulder, CO, USA
- 3. Fujian Key Laboratory of Severe Weather, Fujian Meteorological Bureau, Fuzhou, China
Description
The dataset is the potential predictors of the statistical forecast model based on the 4 methods.
The files in the document named "Train" are the potential predictors and TC anomalous counts for C1-C7 and TCall in the training period of 1979-2002 with 480-time points. For example, "./data/Train/M1/prepar/Obs_C1_pre-data.txt" contains 7 potential predictors of OLR, SSTA, specific humidity at 700 hPa, omega at 500 hPa, divergence and vorticity at 850hPa defined with method 1, and TC anomalous for TC of C1 prediction.
The files named "Model_Lead*_C*_pre-data_*.txt" in "Frcst" the document are the potential predictors in the forecast period of 2003-2013 at lead times of 10, 15, 20, 25, 30, and 35 days with 220-time points. For example, "./data/Frcst/M1/prepar/Model_Lead10_C1_pre-data_00.txt" contains 7 potential predictors from the output of the FLOR model at lead 10 days initialized at Z00 time defined with method 1. Besides, "./data/Frcst/M1/prepar/Obs_C1_pre-data.txt" contains 7 potential predictors from the observation, which is the result of lead 0 days.
Files
Files
(29.3 MB)
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md5:91a230402a4fb5248e33198da12eda9e
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29.3 MB | Download |