06-activity-03-netcdf.ipynb

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    "<img style=\"float: left;\" src=\"earth-lab-logo-rgb.png\" width=\"150\" height=\"150\" />\n",
    "\n",
    "# Earth Analytics Education - Climate 101 Workshop"
   ]
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    "# On Your Own Activities\n",
    "\n",
    "The activities in this notebook are open ended to allow you to play with some\n",
    "new climate data of your choice in netcdf format. \n",
    "\n",
    "\n",
    "## Challenge 1 - Import Python Packages\n",
    "\n",
    "In the cell below add the packages that you need to open an netcdf file \n",
    "in python. "
   ]
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    "# Add required python imports here"
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    "## Challenge 2 - Open Your Data\n",
    "\n",
    "In the cell below, open a netcdf climate data file of your choice. \n",
    "You have been working with temperature data all day so you may \n",
    "consider importing another variable such as precipitation or relative humidity. \n",
    "\n",
    "You may consider using this url which contains historical max temperature data.\n",
    "\n",
    "`http://thredds.northwestknowledge.net:8080/thredds/dodsC/agg_macav2metdata_tasmax_BNU-ESM_r1i1p1_historical_1950_2005_CONUS_monthly.nc` \n"
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    "# Your code here to open the data"
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    "## Challenge 3 - Spatially Subset Your Data\n",
    "\n",
    "Use the lessons to spatially subset the dataset that you selected by \n",
    "a state (or set of states) in the United States. \n",
    "\n",
    "Once you have subsetted the data, plot a a single time step of the data\n",
    "as a raster file."
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    "# Use the spatial subset lesson to subset your data using one of the state boundaries in the cont"
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    "## Challenge 4 - Summarize by Time\n",
    "\n",
    "Use the same subset that you created in challenge 3. Calculate max value\n",
    "for each time step across the entire region. In this challenge you will have a \n",
    "single point for each time step rather than a raster representing  the\n",
    "entire region.\n",
    "\n",
    "Plot your data as a scatter plot. "
   ]
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   "cell_type": "code",
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   "source": [
    "# Add code to calculate max value for each time step and plot the data as a scatter plot"
   ]
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   "source": [
    "## Bonus - Calculate the Seasonal Max Temperature\n",
    "\n",
    "Calculate the seasonal max temperature for your data.\n",
    "You can chose to summarize one value for each season over the entire \n",
    "time period OR to summarize the data by year. "
   ]
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