Problem 1 - Spatial trends in Australian surface temperature anomalies.ipynb

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   "source": [
    "# 1 - Plot the spatial trends in Australian surface temperature from ACCESS-1.3"
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   "source": [
    "In this exercise you will use the monthly temperature at surface dataset to plot spatial trends in surface land temperature anomalies."
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The URL for the relevant dataset is \n",
    "\n",
    "http://dapds00.nci.org.au/thredds/dodsC/rr3/CMIP5/output1/CSIRO-BOM/ACCESS1-3/historical/mon/atmos/Amon/r1i1p1/latest/tas/tas_Amon_ACCESS1-3_historical_r1i1p1_185001-200512.nc"
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   "source": [
    "First step, open the dataset (remember to import the packages you will require):"
   ]
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    "Create a variable that references the surface temperature variable inside the dataset selecting a latitude and longitude range to only include Australia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "markdown",
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    "Calculate a monthly climatological mean surface temperature for the period January 1950 to December 1979 and save to a new variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "markdown",
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    "Calculate monthly anomalies from the climatology calculated above for the period January 1990 to the latest data available and save to a new variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
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   "source": [
    "Plot a map of the time mean of the anomaly for each month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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