{ "cells": [ { "cell_type": "markdown", "id": "aggressive-jersey", "metadata": {}, "source": [ "# ENSO (cont'd)" ] }, { "cell_type": "markdown", "id": "quiet-winning", "metadata": {}, "source": [ "Here, we will do a similar analysis than last week, but focussing on the equatorial Pacific. The dominant process along the equator is upwelling, due to the westward tradewinds pushing surface waters northward in the northern hemisphere, and southward in the southern hemisphere due to the earth rotation, resulting in upwelling of cold water from below along the equator. While that upwelling is easily seen in satellite sea surface temperature images, can we see it in drifter tracks?\n", "\n", "The global database of drifter tracks is widely available over the internet; the instructions on how to obtain the data for any region are given at the end of this lecture. We have extracted the data for the area and saved as a cvs file.\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "structured-examination", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "\n", "drifters = pd.read_csv('/home/ocn463-data/woce/drift/pacdrift.gz', compression='gzip', na_values = -999.99)" ] }, { "cell_type": "code", "execution_count": 2, "id": "linear-bookmark", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | id | \n", "month | \n", "day | \n", "year | \n", "lat | \n", "lon | \n", "sst | \n", "u | \n", "v | \n", "umag | \n", "latvar | \n", "lonvar | \n", "tempvar | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "7702986 | \n", "3 | \n", "29.75 | \n", "1988 | \n", "2.373 | \n", "267.958 | \n", "28.244 | \n", "-76.816 | \n", "37.069 | \n", "85.293 | \n", "0.000093 | \n", "0.000151 | \n", "0.010206 | \n", "
1 | \n", "7702986 | \n", "3 | \n", "30.00 | \n", "1988 | \n", "2.442 | \n", "267.809 | \n", "28.281 | \n", "-78.719 | \n", "32.167 | \n", "85.037 | \n", "0.000008 | \n", "0.000010 | \n", "0.003204 | \n", "
2 | \n", "7702986 | \n", "3 | \n", "30.25 | \n", "1988 | \n", "2.499 | \n", "267.652 | \n", "28.063 | \n", "-78.133 | \n", "24.650 | \n", "81.929 | \n", "0.000045 | \n", "0.000065 | \n", "0.010097 | \n", "
3 | \n", "7702986 | \n", "3 | \n", "30.50 | \n", "1988 | \n", "2.538 | \n", "267.505 | \n", "28.070 | \n", "-71.856 | \n", "23.063 | \n", "75.467 | \n", "0.000027 | \n", "0.000038 | \n", "0.007007 | \n", "
4 | \n", "7702986 | \n", "3 | \n", "30.75 | \n", "1988 | \n", "2.589 | \n", "267.373 | \n", "28.302 | \n", "-74.005 | \n", "27.462 | \n", "78.936 | \n", "0.000047 | \n", "0.000069 | \n", "0.006161 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
2244751 | \n", "90561 | \n", "3 | \n", "30.25 | \n", "2011 | \n", "9.961 | \n", "180.135 | \n", "27.692 | \n", "-41.105 | \n", "-1.209 | \n", "41.123 | \n", "0.000006 | \n", "0.000008 | \n", "0.004182 | \n", "
2244752 | \n", "90561 | \n", "3 | \n", "30.50 | \n", "2011 | \n", "9.964 | \n", "180.069 | \n", "27.607 | \n", "-37.501 | \n", "3.801 | \n", "37.693 | \n", "0.000003 | \n", "0.000006 | \n", "0.004396 | \n", "
2244753 | \n", "90561 | \n", "3 | \n", "30.75 | \n", "2011 | \n", "9.975 | \n", "179.988 | \n", "27.594 | \n", "-36.597 | \n", "2.026 | \n", "36.653 | \n", "0.000008 | \n", "0.000010 | \n", "0.003982 | \n", "
2244754 | \n", "90561 | \n", "3 | \n", "31.00 | \n", "2011 | \n", "9.972 | \n", "179.924 | \n", "27.704 | \n", "-36.611 | \n", "4.784 | \n", "36.923 | \n", "0.000022 | \n", "0.000027 | \n", "0.004592 | \n", "
2244755 | \n", "90561 | \n", "3 | \n", "31.25 | \n", "2011 | \n", "9.994 | \n", "179.843 | \n", "27.712 | \n", "-36.054 | \n", "11.626 | \n", "37.882 | \n", "0.000008 | \n", "0.000010 | \n", "0.004258 | \n", "
2244756 rows × 13 columns
\n", "\n", " | year | \n", "month | \n", "sst | \n", "ssta | \n", "anom | \n", "
---|---|---|---|---|---|
0 | \n", "1950 | \n", "1 | \n", "24.56 | \n", "26.18 | \n", "-1.62 | \n", "
1 | \n", "1950 | \n", "2 | \n", "25.07 | \n", "26.39 | \n", "-1.32 | \n", "
2 | \n", "1950 | \n", "3 | \n", "25.88 | \n", "26.95 | \n", "-1.07 | \n", "
3 | \n", "1950 | \n", "4 | \n", "26.29 | \n", "27.39 | \n", "-1.11 | \n", "
4 | \n", "1950 | \n", "5 | \n", "26.19 | \n", "27.56 | \n", "-1.37 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
861 | \n", "2021 | \n", "10 | \n", "25.77 | \n", "26.72 | \n", "-0.94 | \n", "
862 | \n", "2021 | \n", "11 | \n", "25.76 | \n", "26.70 | \n", "-0.94 | \n", "
863 | \n", "2021 | \n", "12 | \n", "25.54 | \n", "26.60 | \n", "-1.07 | \n", "
864 | \n", "2022 | \n", "1 | \n", "25.60 | \n", "26.55 | \n", "-0.95 | \n", "
865 | \n", "2022 | \n", "2 | \n", "25.87 | \n", "26.76 | \n", "-0.89 | \n", "
866 rows × 5 columns
\n", "