Difference between revisions of "ESE315 Assignment 6"
From atmoschem
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# [40 credits] Calculate the Oceanic Niño Index (ONI) between the years 1982 to 2018. Plot the ONI timeseries. Determine, based on the operation definition of NOAA, the El Niño or La Niña events during this period. Mark these events (you can mark them using python or by hand). | # [40 credits] Calculate the Oceanic Niño Index (ONI) between the years 1982 to 2018. Plot the ONI timeseries. Determine, based on the operation definition of NOAA, the El Niño or La Niña events during this period. Mark these events (you can mark them using python or by hand). | ||
# [60 credits] Choose the three strongest El Niño events and the three strongest La Niña events during this time period. Make a composite (合成) of the December SST anomaly for the three strongest El Niño events. Make a composite of the December SST anomaly for the three strongest La Niña events. Plot the composite SST anomalies for El Niño and La Niña. | # [60 credits] Choose the three strongest El Niño events and the three strongest La Niña events during this time period. Make a composite (合成) of the December SST anomaly for the three strongest El Niño events. Make a composite of the December SST anomaly for the three strongest La Niña events. Plot the composite SST anomalies for El Niño and La Niña. | ||
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# [Extra 20 credits] Calculate the November-December (ND) average of ONI for each year between 1982 to 2018. Calculate the correlations between the November-December ONI and the November-December average surface air temperature between 1982 and 2018. '''Hint: this will be a 2-D map that looks similar to the lower-left panel in following figure.''' | # [Extra 20 credits] Calculate the November-December (ND) average of ONI for each year between 1982 to 2018. Calculate the correlations between the November-December ONI and the November-December average surface air temperature between 1982 and 2018. '''Hint: this will be a 2-D map that looks similar to the lower-left panel in following figure.''' | ||
Revision as of 11:53, 19 November 2019
Go through the three Jupyter notebooks in Tutorial 3 careful. Play around with the different Niño indices. Make sure you understand what EOF is and how it is done.
- [40 credits] Calculate the Oceanic Niño Index (ONI) between the years 1982 to 2018. Plot the ONI timeseries. Determine, based on the operation definition of NOAA, the El Niño or La Niña events during this period. Mark these events (you can mark them using python or by hand).
- [60 credits] Choose the three strongest El Niño events and the three strongest La Niña events during this time period. Make a composite (合成) of the December SST anomaly for the three strongest El Niño events. Make a composite of the December SST anomaly for the three strongest La Niña events. Plot the composite SST anomalies for El Niño and La Niña.
- [Extra 20 credits] Calculate the November-December (ND) average of ONI for each year between 1982 to 2018. Calculate the correlations between the November-December ONI and the November-December average surface air temperature between 1982 and 2018. Hint: this will be a 2-D map that looks similar to the lower-left panel in following figure.
