3.0_Atmosphere.ipynb

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    "# Model lab – Atmosphere Exercise\n",
    "\n",
    "## AR5 to AR6 difference: GMST→GSAT\n",
    "\n",
    "## How different are surface temperature and surface air temperature in CMIP6 historical experiment?"
   ]
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    "import xarray as xr\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline"
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    "### Find the right variables for analysis: GMST - global mean surface temperature; GSAT - global surface air temperature. Choose a model to analyse.\n",
    "\n",
    "<details>\n",
    "    <summary>Hint</summary>\n",
    "You can look it up <a href=\"https://clipc-services.ceda.ac.uk/dreq/index/var.html\">here</a> or in <a href=\"https://github.com/PCMDI/cmip6-cmor-tables\">CMOR-tables</a> or  <a href=\"https://clipc-services.ceda.ac.uk/dreq/mipVars.html\">MPI-variables</a>\n",
    "</details>"
   ]
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    "### Choose climatology periods (19961-1990 and 1995-2014) and read the data"
   ]
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    "### Calculate weighted mean\n",
    "\n",
    "\n",
    "<details>\n",
    "    <summary>Hint</summary>\n",
    "You can look it up in <a href=\"https://docs.xarray.dev/en/latest/examples/area_weighted_temperature.html\">xarray docs f.e.</a>\n",
    "</details>"
   ]
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    "### Plot timeseries of GSAT and GMST and difference between them"
   ]
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    "### Show a spatial pattern of the difference between tas and ts"
   ]
  },
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   "cell_type": "code",
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   "source": [
    "### Extension: use more ensemble members, more models etc."
   ]
  }
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