Statistical modeling of sea ice concentration in the northwest region of the Antarctic Peninsula
Data and R "forecast" library script for Box-Jenkins statistical modeling sea ice concentration prediction as a weather function of variables 2m Temperature (T2m), Sea Surface Temperature (SST), Total Precipitation (TP), Mean Sea Level Pressure (MSLP), 10m Wind Speed (WS), 10m u-component...
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Format: | Dataset |
Language: | unknown |
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Harvard Dataverse
2020
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Online Access: | https://dx.doi.org/10.7910/dvn/2kmegv https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/2KMEGV |
Summary: | Data and R "forecast" library script for Box-Jenkins statistical modeling sea ice concentration prediction as a weather function of variables 2m Temperature (T2m), Sea Surface Temperature (SST), Total Precipitation (TP), Mean Sea Level Pressure (MSLP), 10m Wind Speed (WS), 10m u-component of wind (U10m) and 10m u-component of wind (V10m) in oceanic regions located northwest of the Antarctic Peninsula, generated from Spectral Linear Mixing Model (SLMM) data in passive sensors SMMR, SSM/I and SSMIS, between 1979-2017, covering may to november. |
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