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    "def precip_JJA(lat, lon, year_start, year_end=None):\n",
    "    \n",
    "    precip_longterm = xr.open_dataset(f\"{obs_path}/precipitation_monthlymean_europe_1980-2022_0.25deg.nc\")\n",
    "    precip_longterm.close()\n",
    "    \n",
    "    # select correct coordinates\n",
    "    precip_longterm = precip_longterm.sel(latitude=lat, longitude=lon, method='nearest')\n",
    "    \n",
    "    \n",
    "    # select right year/period\n",
    "    if year_end:\n",
    "        try:\n",
    "            precip_longterm = precip_longterm.sel(time=slice(year_start, year_end))\n",
    "        except:\n",
    "            print(\"Does not recognize year of period end. \")\n",
    "            return\n",
    "    \n",
    "    else:\n",
    "        precip_longterm = precip_longterm.sel(time=year_start)\n",
    "    \n",
    "    \n",
    "    # select JJA\n",
    "    precip_longterm = precip_longterm.where(precip_longterm.time.dt.month.isin([6,7,8]), drop=True)\n",
    "    \n",
    "    # make yearly sum of precip in JJA and then average over the whole period\n",
    "    precip_longterm = precip_longterm.resample(time='1Y').sum().mean(dim='time')\n",
    "    \n",
    "    # extract only the float value\n",
    "    return float(precip_longterm.rr.values)\n",
    "    "
   ]
  }
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