{ "cells": [ { "cell_type": "markdown", "id": "509fcaee", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "id": "68a9712b", "metadata": {}, "source": [ "# Visualising the Fire Weather Index (FWI) for the European State of the Climate (ESOTC) assesment\n", "\n", "
<xarray.DataArray 'fwinx' (year: 32, latitude: 361, longitude: 720)>\n", "dask.array<stack, shape=(32, 361, 720), dtype=int64, chunksize=(1, 361, 720), chunktype=numpy.ndarray>\n", "Coordinates:\n", " surface float64 0.0\n", " * latitude (latitude) float64 90.0 89.5 89.0 88.5 ... -89.0 -89.5 -90.0\n", " * longitude (longitude) float64 -180.0 -179.5 -179.0 ... 178.5 179.0 179.5\n", " * year (year) int64 1991 1992 1993 1994 1995 ... 2019 2020 2021 2022
\n",
"
| \n",
"\n", "\n", " | \n", "
array(0.)
array([ 90. , 89.5, 89. , ..., -89. , -89.5, -90. ])
array([-180. , -179.5, -179. , ..., 178.5, 179. , 179.5])
array([1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,\n", " 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014,\n", " 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022])
<xarray.DataArray 'fwinx' (latitude: 361, longitude: 720)>\n", "dask.array<sub, shape=(361, 720), dtype=float64, chunksize=(361, 720), chunktype=numpy.ndarray>\n", "Coordinates:\n", " surface float64 0.0\n", " * latitude (latitude) float64 90.0 89.5 89.0 88.5 ... -89.0 -89.5 -90.0\n", " * longitude (longitude) float64 -180.0 -179.5 -179.0 ... 178.5 179.0 179.5\n", " year int64 2022
\n",
"
| \n",
"\n", "\n", " | \n", "
array(0.)
array([ 90. , 89.5, 89. , ..., -89. , -89.5, -90. ])
array([-180. , -179.5, -179. , ..., 178.5, 179. , 179.5])
array(2022)