{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "!test -f ens_multi_subset_uncompressed.bufr || wget https://get.ecmwf.int/repository/test-data/pdbufr/test-data/ens_multi_subset_uncompressed.bufr" ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Generic: ENS point foreacast" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pdbufr" ] }, { "cell_type": "raw", "metadata": { "editable": true, "raw_mimetype": "text/restructuredtext", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "The input BUFR data contains ensemble forecast data for a given location. There is only one message in the file having 51 uncompressed subsets (one subset per ensemble member). \n", "\n", "In this notebook we read this data with the :ref:`generic reader `, which is the default reader." ] }, { "cell_type": "markdown", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "#### Example 1\n", "\n", "Extracting forecast data for the control forecast member:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " ensembleMemberNumber latitude longitude timePeriod airTemperatureAt2M\n", "0 0 51.52 0.97 0 292.7\n", "1 0 51.52 0.97 6 291.6\n", "2 0 51.52 0.97 12 291.0\n", "3 0 51.52 0.97 18 290.0\n", "4 0 51.52 0.97 24 291.2\n", ".. ... ... ... ... ...\n", "56 0 51.52 0.97 336 292.0\n", "57 0 51.52 0.97 342 292.2\n", "58 0 51.52 0.97 348 291.4\n", "59 0 51.52 0.97 354 290.1\n", "60 0 51.52 0.97 360 292.4\n", "\n", "[61 rows x 5 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pdbufr.read_bufr(\"ens_multi_subset_uncompressed.bufr\", \n", " columns=(\"ensembleMemberNumber\", \"latitude\", \"longitude\", \"timePeriod\", \n", " \"airTemperatureAt2M\"),\n", " filters={\"ensembleMemberNumber\": 0})\n", "df" ] } ], "metadata": { "kernelspec": { "display_name": "dev", "language": "python", "name": "dev" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" }, "vscode": { "interpreter": { "hash": "22dc05efe0944894879e71a134ce5db002aedecbcd8b98acee6e3c2217e44519" } } }, "nbformat": 4, "nbformat_minor": 4 }