2018_climate4R_example1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# 2018_climate4R_example1\n",
    "\n",
    "***\n",
    "There is a [PDF version](https://github.com/SantanderMetGroup/notebooks/blob/master/2018_climate4R_example1.pdf) of this notebook.\n",
    "***\n",
    "\n",
    "This worked example contains the full code that reproduces the 1rst example of the paper \"climate4R: An R-based Framework for Climate Data Access, Post-processing and Bias Correction\" (Sec. 5 of the manuscript). Here, the same titles are used for the main sections (see index). These are divided in additional subsections to help with the understanding of the different code chunks. All operations hereinafter are performed with the core packages of climate4R, excepting package installation and the creation of color palettes, for which packages `devtools` and `RColorBrewer` are used respectively.\n",
    "\n",
    "\n",
    "\n",
    "climate4R packages are installed by means of the `devtools' package:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: rJava\n",
      "Loading required package: loadeR.java\n",
      "Java version 1.8x amd64 by Oracle Corporation detected\n",
      "NetCDF Java Library v4.6.0-SNAPSHOT (23 Apr 2015) loaded and ready\n",
      "loadeR version 1.4.8 (2018-09-23) is loaded\n",
      "Please use 'citation(\"loadeR\")' to cite this package.\n",
      "transformeR version 1.4.7 (2018-10-20) is loaded\n",
      "WARNING: Your current version of transformeR (v1.4.7) is ahead of the master branch version (1.4.6)\n",
      "Development version may have an unexpected behaviour\n",
      "Please see 'citation(\"transformeR\")' to cite this package.\n",
      "Loading required package: sm\n",
      "Warning message:\n",
      "“no DISPLAY variable so Tk is not available”Package 'sm', version 2.2-5.6: type help(sm) for summary information\n",
      "visualizeR version 1.3.0 (2018-10-17) is loaded\n",
      "\n",
      "Attaching package: ‘visualizeR’\n",
      "\n",
      "The following objects are masked from ‘package:transformeR’:\n",
      "\n",
      "    clim2sgdf, map.lines, map.stippling\n",
      "\n",
      "Loading required package: deepnet\n",
      "Loading required package: glmnet\n",
      "Loading required package: Matrix\n",
      "Loading required package: foreach\n",
      "Loaded glmnet 2.0-16\n",
      "\n",
      "downscaleR version 3.0.4 (2018-09-23) is loaded\n",
      "Please use 'citation(\"downscaleR\")' to cite this package.\n",
      "Loading required package: climdex.pcic\n",
      "Loading required package: PCICt\n",
      "climate4R.climdex version 0.1.4 (2018-08-15) is loaded\n",
      "Use 'climdexShow()' for an overview of the available ETCDDI indices\n"
     ]
    }
   ],
   "source": [
    "library(loadeR)\n",
    "library(transformeR)\n",
    "library(visualizeR)\n",
    "library(downscaleR)\n",
    "library(climate4R.climdex)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example 1: Climate Indices from CORDEX Projections\n",
    "\n",
    "## Loading, collocating and harmonizing data \n",
    "\n",
    "The domain of the study area is defined by the following bounding coordinates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "lon <- c(-10, 20)\n",
    "lat <- c(35, 46)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cliamte data loading from OPeNDAP server: E-OBS observational data \n",
    "\n",
    "As described in the paper, the SU index (summer days) can be obtained on-the-fly by loading maximum temperature data with function `loadGridData` and by the following argument settings: `aggr.m = \"sum\"`, `condition = \"GT\"` and `threshold = 25`. First we load E-OBS observational data by pointing to a NetCDF file via OPeNDAP. Previous to loading, function `dataInventory` might be applied for an overview of the dataset, which returns an inventory (object `di`) of the available variables names, units, coordinates, etc.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 12:46:05] Doing inventory ...\n",
      "[2018-12-13 12:46:08] Retrieving info for 'tx' (0 vars remaining)\n",
      "[2018-12-13 12:46:08] Done.\n"
     ]
    }
   ],
   "source": [
    "eobs<-\"http://opendap.knmi.nl/knmi/thredds/dodsC/e-obs_0.25regular/tx_0.25deg_reg_v17.0.nc\"\n",
    "di <- dataInventory(eobs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, the NetCDF file contains maximum temperature data named as \"tx\", thus, we set `var = \"tx\"` when calling to `loadGridData`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 12:46:08] Opening dataset...\n",
      "[2018-12-13 12:46:09] The dataset was successfuly opened\n",
      "[2018-12-13 12:46:09] Defining geo-location parameters\n",
      "[2018-12-13 12:46:09] Defining time selection parameters\n",
      "NOTE: Daily data will be monthly aggregated\n",
      "[2018-12-13 12:46:09] Retrieving data subset ...\n",
      "[2018-12-13 12:52:16] Done\n"
     ]
    }
   ],
   "source": [
    "SU <- loadGridData(eobs, var = \"tx\",\n",
    "                    season = 1:12, \n",
    "                    years = 1971:2000,\n",
    "                    lonLim = lon, \n",
    "                    latLim = lat,\n",
    "                    aggr.m = \"sum\", \n",
    "                    condition = \"GT\", \n",
    "                    threshold = 25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using a dictionary\n",
    "\n",
    "In order to load and work with harmonized data we can repeat the above operation using a dictionary file, that defines the necessary name and unit transformations to the standard parameters. Function `C4R.vocabulary` displays the climate4R standard variable naming and units:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>identifier</th><th scope=col>standard_name</th><th scope=col>units</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>hurs                                   </td><td>2-meter relative humidity              </td><td>%                                      </td></tr>\n",
       "\t<tr><td>hursmax                                </td><td>maximum 2-meter relative humidity      </td><td>%                                      </td></tr>\n",
       "\t<tr><td>hursmin                                </td><td>minimum 2-meter relative humidity      </td><td>%                                      </td></tr>\n",
       "\t<tr><td>hus                                    </td><td>specific humidity                      </td><td>kg.kg-1                                </td></tr>\n",
       "\t<tr><td>huss                                   </td><td>2-meter specific humidity              </td><td>kg.kg-1                                </td></tr>\n",
       "\t<tr><td>hussmax                                </td><td>maximum 2-meter specific humidity      </td><td>kg.kg-1                                </td></tr>\n",
       "\t<tr><td>hussmin                                </td><td>minimum 2-meter specific humidity      </td><td>kg.kg-1                                </td></tr>\n",
       "\t<tr><td>lm                                     </td><td>land binary mask                       </td><td>1                                      </td></tr>\n",
       "\t<tr><td>orog                                   </td><td>surface altitude                       </td><td>m                                      </td></tr>\n",
       "\t<tr><td>ps                                     </td><td>air pressure at surface level          </td><td>Pa                                     </td></tr>\n",
       "\t<tr><td>psl                                    </td><td>air pressure at sea level              </td><td>Pa                                     </td></tr>\n",
       "\t<tr><td>rlds                                   </td><td>surface downwelling longwave radiation </td><td>W.m-2                                  </td></tr>\n",
       "\t<tr><td>rlut                                   </td><td>toa outgoing longwave flux             </td><td>W.m-2                                  </td></tr>\n",
       "\t<tr><td>rlus                                   </td><td>surface upwelling longwave flux in air </td><td>W.m-2                                  </td></tr>\n",
       "\t<tr><td>rsus                                   </td><td>surface upwelling shortwave flux in air</td><td>W.m-2                                  </td></tr>\n",
       "\t<tr><td>rsds                                   </td><td>surface downwelling shortwave radiation</td><td>W.m-2                                  </td></tr>\n",
       "\t<tr><td>sftlf                                  </td><td>land area fraction                     </td><td>1                                      </td></tr>\n",
       "\t<tr><td>ta                                     </td><td>air temperature                        </td><td>degC                                   </td></tr>\n",
       "\t<tr><td>tas                                    </td><td>2-meter air temperature                </td><td>degC                                   </td></tr>\n",
       "\t<tr><td>tasmax                                 </td><td>maximum 2-m air temperature            </td><td>degC                                   </td></tr>\n",
       "\t<tr><td>tasmin                                 </td><td>minimum 2-m air temperature            </td><td>degC                                   </td></tr>\n",
       "\t<tr><td>tdps                                   </td><td>2-meter dewpoint temperature           </td><td>degC                                   </td></tr>\n",
       "\t<tr><td>ts                                     </td><td>surface_temperature                    </td><td>degC                                   </td></tr>\n",
       "\t<tr><td>pr                                     </td><td>total precipitation amount             </td><td>mm                                     </td></tr>\n",
       "\t<tr><td>prr                                    </td><td>total rainfall amount                  </td><td>mm                                     </td></tr>\n",
       "\t<tr><td>prsn                                   </td><td>total snowfall amount                  </td><td>mm                                     </td></tr>\n",
       "\t<tr><td>ua                                     </td><td>eastward wind                          </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>uas                                    </td><td>eastward near-surface wind             </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>va                                     </td><td>northward wind                         </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>vas                                    </td><td>northward near-surface wind            </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>wss                                    </td><td>near-surface wind speed                </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>wssmax                                 </td><td>maximum near-surface wind speed        </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>wsg                                    </td><td>wind speed of gust                     </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>wsgmax                                 </td><td>maximum wind speed of gust             </td><td>m.s-1                                  </td></tr>\n",
       "\t<tr><td>z                                      </td><td>geopotential                           </td><td>m2.s-2                                 </td></tr>\n",
       "\t<tr><td>zg                                     </td><td>geopotential height                    </td><td>m                                      </td></tr>\n",
       "\t<tr><td>zs                                     </td><td>surface geopotential                   </td><td>m2.s-2                                 </td></tr>\n",
       "\t<tr><td>zgs                                    </td><td>surface geopotential height            </td><td>m                                      </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " identifier & standard\\_name & units\\\\\n",
       "\\hline\n",
       "\t hurs                                    & 2-meter relative humidity               & \\%                                    \\\\\n",
       "\t hursmax                                 & maximum 2-meter relative humidity       & \\%                                    \\\\\n",
       "\t hursmin                                 & minimum 2-meter relative humidity       & \\%                                    \\\\\n",
       "\t hus                                     & specific humidity                       & kg.kg-1                                \\\\\n",
       "\t huss                                    & 2-meter specific humidity               & kg.kg-1                                \\\\\n",
       "\t hussmax                                 & maximum 2-meter specific humidity       & kg.kg-1                                \\\\\n",
       "\t hussmin                                 & minimum 2-meter specific humidity       & kg.kg-1                                \\\\\n",
       "\t lm                                      & land binary mask                        & 1                                      \\\\\n",
       "\t orog                                    & surface altitude                        & m                                      \\\\\n",
       "\t ps                                      & air pressure at surface level           & Pa                                     \\\\\n",
       "\t psl                                     & air pressure at sea level               & Pa                                     \\\\\n",
       "\t rlds                                    & surface downwelling longwave radiation  & W.m-2                                  \\\\\n",
       "\t rlut                                    & toa outgoing longwave flux              & W.m-2                                  \\\\\n",
       "\t rlus                                    & surface upwelling longwave flux in air  & W.m-2                                  \\\\\n",
       "\t rsus                                    & surface upwelling shortwave flux in air & W.m-2                                  \\\\\n",
       "\t rsds                                    & surface downwelling shortwave radiation & W.m-2                                  \\\\\n",
       "\t sftlf                                   & land area fraction                      & 1                                      \\\\\n",
       "\t ta                                      & air temperature                         & degC                                   \\\\\n",
       "\t tas                                     & 2-meter air temperature                 & degC                                   \\\\\n",
       "\t tasmax                                  & maximum 2-m air temperature             & degC                                   \\\\\n",
       "\t tasmin                                  & minimum 2-m air temperature             & degC                                   \\\\\n",
       "\t tdps                                    & 2-meter dewpoint temperature            & degC                                   \\\\\n",
       "\t ts                                        & surface\\_temperature                     & degC                                     \\\\\n",
       "\t pr                                      & total precipitation amount              & mm                                     \\\\\n",
       "\t prr                                     & total rainfall amount                   & mm                                     \\\\\n",
       "\t prsn                                    & total snowfall amount                   & mm                                     \\\\\n",
       "\t ua                                      & eastward wind                           & m.s-1                                  \\\\\n",
       "\t uas                                     & eastward near-surface wind              & m.s-1                                  \\\\\n",
       "\t va                                      & northward wind                          & m.s-1                                  \\\\\n",
       "\t vas                                     & northward near-surface wind             & m.s-1                                  \\\\\n",
       "\t wss                                     & near-surface wind speed                 & m.s-1                                  \\\\\n",
       "\t wssmax                                  & maximum near-surface wind speed         & m.s-1                                  \\\\\n",
       "\t wsg                                     & wind speed of gust                      & m.s-1                                  \\\\\n",
       "\t wsgmax                                  & maximum wind speed of gust              & m.s-1                                  \\\\\n",
       "\t z                                       & geopotential                            & m2.s-2                                 \\\\\n",
       "\t zg                                      & geopotential height                     & m                                      \\\\\n",
       "\t zs                                      & surface geopotential                    & m2.s-2                                 \\\\\n",
       "\t zgs                                     & surface geopotential height             & m                                      \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "identifier | standard_name | units | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| hurs                                    | 2-meter relative humidity               | %                                       | \n",
       "| hursmax                                 | maximum 2-meter relative humidity       | %                                       | \n",
       "| hursmin                                 | minimum 2-meter relative humidity       | %                                       | \n",
       "| hus                                     | specific humidity                       | kg.kg-1                                 | \n",
       "| huss                                    | 2-meter specific humidity               | kg.kg-1                                 | \n",
       "| hussmax                                 | maximum 2-meter specific humidity       | kg.kg-1                                 | \n",
       "| hussmin                                 | minimum 2-meter specific humidity       | kg.kg-1                                 | \n",
       "| lm                                      | land binary mask                        | 1                                       | \n",
       "| orog                                    | surface altitude                        | m                                       | \n",
       "| ps                                      | air pressure at surface level           | Pa                                      | \n",
       "| psl                                     | air pressure at sea level               | Pa                                      | \n",
       "| rlds                                    | surface downwelling longwave radiation  | W.m-2                                   | \n",
       "| rlut                                    | toa outgoing longwave flux              | W.m-2                                   | \n",
       "| rlus                                    | surface upwelling longwave flux in air  | W.m-2                                   | \n",
       "| rsus                                    | surface upwelling shortwave flux in air | W.m-2                                   | \n",
       "| rsds                                    | surface downwelling shortwave radiation | W.m-2                                   | \n",
       "| sftlf                                   | land area fraction                      | 1                                       | \n",
       "| ta                                      | air temperature                         | degC                                    | \n",
       "| tas                                     | 2-meter air temperature                 | degC                                    | \n",
       "| tasmax                                  | maximum 2-m air temperature             | degC                                    | \n",
       "| tasmin                                  | minimum 2-m air temperature             | degC                                    | \n",
       "| tdps                                    | 2-meter dewpoint temperature            | degC                                    | \n",
       "| ts                                      | surface_temperature                     | degC                                    | \n",
       "| pr                                      | total precipitation amount              | mm                                      | \n",
       "| prr                                     | total rainfall amount                   | mm                                      | \n",
       "| prsn                                    | total snowfall amount                   | mm                                      | \n",
       "| ua                                      | eastward wind                           | m.s-1                                   | \n",
       "| uas                                     | eastward near-surface wind              | m.s-1                                   | \n",
       "| va                                      | northward wind                          | m.s-1                                   | \n",
       "| vas                                     | northward near-surface wind             | m.s-1                                   | \n",
       "| wss                                     | near-surface wind speed                 | m.s-1                                   | \n",
       "| wssmax                                  | maximum near-surface wind speed         | m.s-1                                   | \n",
       "| wsg                                     | wind speed of gust                      | m.s-1                                   | \n",
       "| wsgmax                                  | maximum wind speed of gust              | m.s-1                                   | \n",
       "| z                                       | geopotential                            | m2.s-2                                  | \n",
       "| zg                                      | geopotential height                     | m                                       | \n",
       "| zs                                      | surface geopotential                    | m2.s-2                                  | \n",
       "| zgs                                     | surface geopotential height             | m                                       | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   identifier standard_name                           units  \n",
       "1  hurs       2-meter relative humidity               %      \n",
       "2  hursmax    maximum 2-meter relative humidity       %      \n",
       "3  hursmin    minimum 2-meter relative humidity       %      \n",
       "4  hus        specific humidity                       kg.kg-1\n",
       "5  huss       2-meter specific humidity               kg.kg-1\n",
       "6  hussmax    maximum 2-meter specific humidity       kg.kg-1\n",
       "7  hussmin    minimum 2-meter specific humidity       kg.kg-1\n",
       "8  lm         land binary mask                        1      \n",
       "9  orog       surface altitude                        m      \n",
       "10 ps         air pressure at surface level           Pa     \n",
       "11 psl        air pressure at sea level               Pa     \n",
       "12 rlds       surface downwelling longwave radiation  W.m-2  \n",
       "13 rlut       toa outgoing longwave flux              W.m-2  \n",
       "14 rlus       surface upwelling longwave flux in air  W.m-2  \n",
       "15 rsus       surface upwelling shortwave flux in air W.m-2  \n",
       "16 rsds       surface downwelling shortwave radiation W.m-2  \n",
       "17 sftlf      land area fraction                      1      \n",
       "18 ta         air temperature                         degC   \n",
       "19 tas        2-meter air temperature                 degC   \n",
       "20 tasmax     maximum 2-m air temperature             degC   \n",
       "21 tasmin     minimum 2-m air temperature             degC   \n",
       "22 tdps       2-meter dewpoint temperature            degC   \n",
       "23 ts         surface_temperature                     degC   \n",
       "24 pr         total precipitation amount              mm     \n",
       "25 prr        total rainfall amount                   mm     \n",
       "26 prsn       total snowfall amount                   mm     \n",
       "27 ua         eastward wind                           m.s-1  \n",
       "28 uas        eastward near-surface wind              m.s-1  \n",
       "29 va         northward wind                          m.s-1  \n",
       "30 vas        northward near-surface wind             m.s-1  \n",
       "31 wss        near-surface wind speed                 m.s-1  \n",
       "32 wssmax     maximum near-surface wind speed         m.s-1  \n",
       "33 wsg        wind speed of gust                      m.s-1  \n",
       "34 wsgmax     maximum wind speed of gust              m.s-1  \n",
       "35 z          geopotential                            m2.s-2 \n",
       "36 zg         geopotential height                     m      \n",
       "37 zs         surface geopotential                    m2.s-2 \n",
       "38 zgs        surface geopotential height             m      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "C4R.vocabulary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, the only non-standard parameter in the E-OBS dataset is the variable name (\"tx\"), however, we could perform further loading requests using the standard name if a dictionary file is crated previously (see the [`loadeR` wiki](https://github.com/SantanderMetGroup/loadeR/wiki/Harmonization)). This can be done easily, for instance, in the following manner:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "TRUE"
      ],
      "text/latex": [
       "TRUE"
      ],
      "text/markdown": [
       "TRUE"
      ],
      "text/plain": [
       "[1] TRUE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "file.create(\"dicEOBS.dic\")\n",
    "writeLines(c(\"identifier,short_name,time_step,lower_time_bound,upper_time_bound, cell_method,offset,scale,deaccum,derived,interface\",\n",
    "             \"tasmax,tx,24h,0,24,max,0,1,0,0,\"), \"dicEOBS.dic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next the loading operation is repeated but using the standard name for the maximum temperature (`var = \"tasmax\"`) and by passing the path to our *.dic file (\"dicEOBS.dic\") in argument `dictionary`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 12:52:16] Defining harmonization parameters for variable \"tasmax\"\n",
      "[2018-12-13 12:52:16] Opening dataset...\n",
      "[2018-12-13 12:52:17] The dataset was successfuly opened\n",
      "[2018-12-13 12:52:17] Defining geo-location parameters\n",
      "[2018-12-13 12:52:17] Defining time selection parameters\n",
      "NOTE: Daily data will be monthly aggregated\n",
      "[2018-12-13 12:52:17] Retrieving data subset ...\n",
      "[2018-12-13 12:57:55] Done\n"
     ]
    }
   ],
   "source": [
    "SU <- loadGridData(eobs,\n",
    "                         var = \"tasmax\",\n",
    "                         season = 1:12,\n",
    "                         lonLim = lon,\n",
    "                         latLim = lat,\n",
    "                         years = 1971:2000,\n",
    "                         aggr.m = \"sum\", \n",
    "                         threshold = 25,\n",
    "                         condition = \"GT\",\n",
    "                         dictionary = \"dicEOBS.dic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Transformation and visualization\n",
    "Note that `loadGridData` returns monthly summer days (SU). To compute the annual index we only need to apply function `aggregateGrid` that performs the aggregation of the desired data dimension (in this case `time`). We use argument `aggr.y` to perform annual aggregation with function `sum`:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 12:57:55] Performing annual aggregation...\n",
      "[2018-12-13 12:57:56] Done.\n"
     ]
    }
   ],
   "source": [
    "SU.annual <- aggregateGrid(SU, aggr.y = list(FUN = \"sum\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Transformation and visualization\n",
    "Note that `loadGridData` returns monthly summer days (SU). To compute the annual index we only need to apply function `aggregateGrid` that performs the aggregation of the desired data dimension (in this case `time`). We use argument `aggr.y` to perform annual aggregation with function `sum`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(RColorBrewer)\n",
    "colstx <- rev(brewer.pal(n = 9, \"Spectral\"))\n",
    "colsindex <- rev(brewer.pal(n = 9, \"RdYlBu\"))\n",
    "colsdelta <- brewer.pal(n = 9, \"Reds\")\n",
    "colsbias <- brewer.pal(n = 9, \"PiYG\")\n",
    "colssd <- brewer.pal(n = 9, \"Blues\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case we set `col.regions = colorRampPalette(colsindex)` to visualize the mean annual SU for the reference period (1971-2000). As a result Figure \\ref{fig:fig2a} is generated (Fig. 2a in the manuscript)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 12:57:56] - Computing climatology...\n",
      "[2018-12-13 12:57:56] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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UxPjFr18ua5aF9nJU3dLm6TmnT6z6K0cavnJ+7ZrqzR0C/ykLxygz9/IJJIRlZO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5GC0EjFcZ0JVg1Nt+bGRU+zZAhdV9fRcM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\n+vr6ycnJT548qaur09TU9HLbXP4Pu0T3HWq0tbUfPHiQlJTk4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WOglpZ2VtCB+F9y7WrSs+Q3b7OjmZjgv4A9SvX19YcPH7506dKSFase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\nTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SU.annual), backdrop.theme = \"countries\", \n",
    "            at = seq(0, 260, 10), col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cliamte data loading from local files: CORDEX climate change projections\n",
    "Next, projection data (for both the historical and the RCP8.5 scenarios) is loaded from local NetCDF files, which correspond to a particular RCM (Regional Climate Model ICHEC-EC-EARTH_r12i1p1_SMHI-RCA4_v1) from EURO-CORDEX. These files were downloaded from ESGF (see Appendix A in the manuscript) and stored locally. Next we list them in objects `dir` and `dirf`, the first corresponding to the historical scenario and the second to the future RCP8.5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [1] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19510101-19551231.nc\"\n",
      " [2] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19560101-19601231.nc\"\n",
      " [3] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19610101-19651231.nc\"\n",
      " [4] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19660101-19701231.nc\"\n",
      " [5] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19710101-19751231.nc\"\n",
      " [6] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19760101-19801231.nc\"\n",
      " [7] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19810101-19851231.nc\"\n",
      " [8] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19860101-19901231.nc\"\n",
      " [9] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19910101-19951231.nc\"\n",
      "[10] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_19960101-20001231.nc\"\n",
      "[11] \"tasmax_EUR-44_ICHEC-EC-EARTH_historical_r12i1p1_SMHI-RCA4_v1_day_20010101-20051231.nc\"\n"
     ]
    }
   ],
   "source": [
    "dir <- \"local_nc_data/historical/\"\n",
    "dirf <- \"local_nc_data/rcp85\"\n",
    "print(list.files(dir, recursive = T))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each file in the list contains data for a 5-year period of the same variable (tasmax). Therefore, we use a \"catalog\" (*.ncml file) to load data for the required period without worrying about the different files that need to be read and bound. Next we create two catalogs (for each scenario) with function `makeAggregateDataset` (\"CDX_hist.ncml\" and \"CDX_rcp85.ncml\"):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:06:35] Creating dataset from 11 files\n",
      "[2018-12-13 13:06:35] Scanning file 1 out of 1\n",
      "[2018-12-13 13:06:35] Defining aggregating dimension length\n",
      "This process may be slow but will significantly speed-up data retrieval...\n",
      "[2018-12-13 13:06:36] Dimension length defined\n",
      "[2018-12-13 13:06:36] NcML file \"CDX_hist.ncml\" created from 11 files corresponding to 1 variables\n",
      "Use 'dataInventory' to obtain a description of the dataset\n",
      "[2018-12-13 13:06:36] Creating dataset from 19 files\n",
      "[2018-12-13 13:06:36] Scanning file 1 out of 1\n",
      "[2018-12-13 13:06:36] Defining aggregating dimension length\n",
      "This process may be slow but will significantly speed-up data retrieval...\n",
      "[2018-12-13 13:06:37] Dimension length defined\n",
      "[2018-12-13 13:06:37] NcML file \"CDX_rcp85.ncml\" created from 19 files corresponding to 1 variables\n",
      "Use 'dataInventory' to obtain a description of the dataset\n"
     ]
    }
   ],
   "source": [
    "makeAggregatedDataset(source.dir = dir, recursive = T, ncml.file = \"local_nc_data/historical/CDX_hist.ncml\")\n",
    "makeAggregatedDataset(source.dir = dirf, recursive = T, ncml.file = \"local_nc_data/rcp85/CDX_rcp85.ncml\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The created *.ncml files are then used as a single access point to load data and to do the data inventory as well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:00:12] Doing inventory ...\n",
      "[2018-12-13 13:00:12] Retrieving info for 'tasmax' (0 vars remaining)\n",
      "[2018-12-13 13:00:12] Done.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of 4\n",
      " $ Description: chr \"Daily Maximum Near-Surface Air Temperature\"\n",
      " $ DataType   : chr \"float\"\n",
      " $ Units      : chr \"K\"\n",
      " $ Dimensions :List of 3\n",
      "  ..$ time:List of 4\n",
      "  .. ..$ Type      : chr \"Time\"\n",
      "  .. ..$ TimeStep  : chr \"1.0 days\"\n",
      "  .. ..$ Units     : chr \"days since 1949-12-01 00:00:00\"\n",
      "  .. ..$ Date_range: chr \"1951-01-01T12:00:00Z - 2005-12-31T12:00:00Z\"\n",
      "  ..$ lat :List of 3\n",
      "  .. ..$ Type  : chr \"GeoY\"\n",
      "  .. ..$ Units : chr \"degrees\"\n",
      "  .. ..$ Values: num [1:103] -23.2 -22.8 -22.3 -21.9 -21.4 ...\n",
      "  ..$ lon :List of 3\n",
      "  .. ..$ Type  : chr \"GeoX\"\n",
      "  .. ..$ Units : chr \"degrees\"\n",
      "  .. ..$ Values: num [1:106] -28.2 -27.8 -27.3 -26.9 -26.4 ...\n"
     ]
    }
   ],
   "source": [
    "di <- dataInventory(\"local_nc_data/historical/CDX_hist.ncml\")\n",
    "str(di$tasmax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Contrarily to the case of the E-OBS dataset, the variable name is standard, but not the units (K). Therefore we define the harmonization parameters in another dictionary file (\"dicCDX.dic\"), where the offset is -273.15 to convert the data to the standard units (ºC):\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "TRUE"
      ],
      "text/latex": [
       "TRUE"
      ],
      "text/markdown": [
       "TRUE"
      ],
      "text/plain": [
       "[1] TRUE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "file.create(\"local_nc_data/dicCDX.dic\")\n",
    "writeLines(c(\"identifier,short_name,time_step,lower_time_bound,upper_time_bound,cell_metod,offset,scale,deaccum,derived,interface\",\n",
    "             \"tasmax,tasmax,24h,0,24,max,-273.15,1,0,0,\"), \"local_nc_data/dicCDX.dic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Historical data\n",
    "Next, harmonized data is loaded for a single CORDEX model, for the historical scenario and the same reference period used to load E-OBS observational data (1971-2000):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:00:18] Defining harmonization parameters for variable \"tasmax\"\n",
      "[2018-12-13 13:00:18] Defining geo-location parameters\n",
      "[2018-12-13 13:00:18] Defining time selection parameters\n",
      "NOTE: Daily data will be monthly aggregated\n",
      "[2018-12-13 13:00:18] Retrieving data subset ...\n",
      "[2018-12-13 13:00:30] Done\n"
     ]
    }
   ],
   "source": [
    "SUh <- loadGridData(dataset = \"CDX_hist.ncml\",\n",
    "                     var = \"tasmax\",\n",
    "                     season = 1:12,\n",
    "                     lonLim = lon,\n",
    "                     latLim = lat,\n",
    "                     years = 1971:2000,\n",
    "                     aggr.m = \"sum\",\n",
    "                     threshold = 25,\n",
    "                     condition = \"GT\",\n",
    "                     dictionary = \"local_nc_data/dicCDX.dic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The same operations of annual aggregation and visualization shown before are repeated next. As a result Figure \\ref{fig:fig2b} is obtained (Fig. 2b in the manuscript)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:01:01] Performing annual aggregation...\n",
      "[2018-12-13 13:01:02] Done.\n"
     ]
    }
   ],
   "source": [
    "SUh.annual <- aggregateGrid(SUh, aggr.y = list(FUN = \"sum\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:01:05] - Computing climatology...\n",
      "[2018-12-13 13:01:05] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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He7FStWXHHFFfH6X//613fccccDDzyw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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SUh.annual), at = seq(0, 260, 10), \n",
    "            col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As can be noted in Figure \\ref{fig:fig2b}, the spatial grid of CORDEX is different from E-OBS (Figure \\ref{fig:fig2a}). We can use function `interpGrid` to interpolate CORDEX data to the E-OBS spatial grid, allowing the subsequent extraction of the SU bias in the reference period (1971-2000). This is done by subtracting the SU index of E-OBS (object `SU.annual`) to the SU index of historical CORDEX (object `SUh.interp`), for which function `gridArithmetics` is used. \n",
    "Despite not being necessary, here we apply a land mask before calculating the bias in order to eliminate the values projected by the CORDEX model over the sea. To do so, `gridArithmetics` might be also used, first to create the mask and second to apply it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "NOTE: argument 'bilin.method' ignored for nearest neighbour interpolation\n",
      "[2018-12-13 13:01:09] Calculating nearest neighbors...\n",
      "[2018-12-13 13:01:09] Performing nearest interpolation... may take a while\n",
      "[2018-12-13 13:01:09] Done\n"
     ]
    }
   ],
   "source": [
    "SUh.interp <- interpGrid(SUh.annual, getGrid(SU.annual))\n",
    "eobs.mask <- gridArithmetics(SU.annual, 0, operator = \"*\")\n",
    "SUh.interp <- gridArithmetics(SUh.interp, eobs.mask, operator = \"+\")\n",
    "\n",
    "bias <- gridArithmetics(SUh.interp, SU.annual, operator = \"-\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we plot the SU index for CORDEX (object `SUh.interp`) and its bias (object `bias`) to generate Figures \\ref{fig:fig2c} and \\ref{fig:fig2d} (Figs. 2c and 2d in the manuscript)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:01:36] - Computing climatology...\n",
      "[2018-12-13 13:01:36] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Ah20FwVFhbGxcVt2rSpc+fOq9bMdA/Z3clptLGDa8zp3dFhIaqamnodKTjBHgRO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\nAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SUh.interp), backdrop.theme = \"countries\", \n",
    "            at = seq(0, 260, 10), col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:01:41] - Computing climatology...\n",
      "[2018-12-13 13:01:41] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NXV45/GampV/aGJfUf744eOZL1716St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dV1VZV1NZV11ZV13dUvcxLeXek6j6pkYc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\nL31g5ib04NSdAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(bias), backdrop.theme = \"countries\", \n",
    "            at = seq(-100, 100, 10), col.regions = colorRampPalette(colsbias))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Future data\n",
    "\n",
    "We repeat the same operations of data loading and transformation but for the RCP8.5 scenario and future period 2071-2100:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:07:07] Defining harmonization parameters for variable \"tasmax\"\n",
      "[2018-12-13 13:07:07] Defining geo-location parameters\n",
      "[2018-12-13 13:07:07] Defining time selection parameters\n",
      "NOTE: Daily data will be monthly aggregated\n",
      "[2018-12-13 13:07:07] Retrieving data subset ...\n",
      "[2018-12-13 13:07:19] Done\n"
     ]
    }
   ],
   "source": [
    "SUf <- loadGridData(dataset = \"local_nc_data/rcp85/CDX_rcp85.ncml\",\n",
    "                     var = \"tasmax\",\n",
    "                     season = 1:12,\n",
    "                     lonLim = lon,\n",
    "                     latLim = lat,\n",
    "                     years = 2071:2100,\n",
    "                     aggr.m = \"sum\", \n",
    "                     threshold = 25,\n",
    "                     condition = \"GT\",\n",
    "                     dictionary = \"local_nc_data/dicCDX.dic\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:07:32] Performing annual aggregation...\n",
      "[2018-12-13 13:07:32] Done.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of 4\n",
      " $ Variable:List of 2\n",
      "  ..$ varName: chr \"Frequency Index\"\n",
      "  ..$ level  : NULL\n",
      "  ..- attr(*, \"use_dictionary\")= logi TRUE\n",
      "  ..- attr(*, \"description\")= chr \"tasmax-based threshold exceedance count index\"\n",
      "  ..- attr(*, \"units\")= chr \"days\"\n",
      "  ..- attr(*, \"longname\")= chr \"Number of days when tasmax > 25 degC\"\n",
      "  ..- attr(*, \"daily_agg_cellfun\")= chr \"none\"\n",
      "  ..- attr(*, \"monthly_agg_cellfun\")= chr \"sum\"\n",
      "  ..- attr(*, \"verification_time\")= chr \"none\"\n",
      " $ Data    : num [1:360, 1:34, 1:57] 0 0 0 0 3 24 30 31 21 0 ...\n",
      "  ..- attr(*, \"dimensions\")= chr [1:3] \"time\" \"lat\" \"lon\"\n",
      " $ xyCoords:List of 4\n",
      "  ..$ x  : num [1:57] -22.9 -22.5 -22.1 -21.6 -21.2 ...\n",
      "  ..$ y  : num [1:34] -15.7 -15.3 -14.9 -14.4 -14 ...\n",
      "  ..$ lon: num [1:34, 1:57] -7.94 -8.12 -8.31 -8.49 -8.68 ...\n",
      "  ..$ lat: num [1:34, 1:57] 31 31.4 31.8 32.2 32.6 ...\n",
      "  ..- attr(*, \"projection\")= chr \"RotatedPole\"\n",
      "  ..- attr(*, \"resX\")= num 0.44\n",
      "  ..- attr(*, \"resY\")= num 0.44\n",
      "  ..- attr(*, \"resLON\")= logi NA\n",
      "  ..- attr(*, \"resLAT\")= logi NA\n",
      " $ Dates   :List of 2\n",
      "  ..$ start: chr [1:360] \"2071-01-01 GMT\" \"2071-02-01 GMT\" \"2071-03-01 GMT\" \"2071-04-01 GMT\" ...\n",
      "  ..$ end  : chr [1:360] \"2071-02-01 GMT\" \"2071-03-01 GMT\" \"2071-04-01 GMT\" \"2071-05-01 GMT\" ...\n",
      " - attr(*, \"dataset\")= chr \"CDX_rcp85.ncml\"\n",
      " - attr(*, \"R_package_desc\")= chr \"loadeR-v1.4.8\"\n",
      " - attr(*, \"R_package_URL\")= chr \"https://github.com/SantanderMetGroup/loadeR\"\n",
      " - attr(*, \"R_package_ref\")= chr \"http://dx.doi.org/10.1016/j.cliser.2017.07.001\"\n"
     ]
    }
   ],
   "source": [
    "SUf.annual <- aggregateGrid(SUf, aggr.y = list(FUN = \"sum\"))\n",
    "str(SUf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that in this case the application of `gridArithmetics` gives the projected climate change signal (object `CCsignal`) w.r.t the historical period (object `SUh.interp`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "NOTE: argument 'bilin.method' ignored for nearest neighbour interpolation\n",
      "[2018-12-13 13:07:49] Calculating nearest neighbors...\n",
      "[2018-12-13 13:07:50] Performing nearest interpolation... may take a while\n",
      "[2018-12-13 13:07:50] Done\n"
     ]
    }
   ],
   "source": [
    "SUf.interp <- interpGrid(SUf.annual, getGrid(SU.annual))\n",
    "SUf.interp <- gridArithmetics(SUf.interp, eobs.mask, operator = \"+\")\n",
    "\n",
    "CCsignal <- gridArithmetics(SUf.interp, \n",
    "                            SUh.interp,\n",
    "                            operator = \"-\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By plotting the resulting objects we obtain Figures \\ref{fig:fig3c} (Fig. 3c in the manuscript) and \\ref{fig:fig3d} (not shown in the manuscript):  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:09:09] - Computing climatology...\n",
      "[2018-12-13 13:09:09] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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TdiY2MTEhK0tbVnzbSdOnWqqqpqqxz8ffGXrRu3rPf2I4S8ePEi7XVaVymZv4xG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\nRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SUf.interp), backdrop.theme = \"countries\", \n",
    "            at = seq(0, 260, 10), col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:09:20] - Computing climatology...\n",
      "[2018-12-13 13:09:20] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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+iwImUCqVKpWqiZurvgt5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\nFgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(CCsignal), backdrop.theme = \"countries\",\n",
    "            at = seq(0, 80, 5), col.regions = colorRampPalette(colsdelta))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Post-processing: Bias Correction\n",
    "\n",
    "Next the \"additive\" type of the \"scaling\" method is applied to bias correct future monthly CORDEX data (object `SUf`) by means of function `biasCorrection`. The output is annually aggregated (object `SUf.bc.annual`) and the climate change signal is again calculated from the bias corrected data (object `CCsignal.bc`). \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:09:44] Argument precipitation is set as FALSE, please ensure that this matches your data.\n",
      "[2018-12-13 13:09:45] Number of windows considered: 1...\n",
      "[2018-12-13 13:09:45] Bias-correcting 1 members separately...\n",
      "[2018-12-13 13:09:46] Done.\n",
      "[2018-12-13 13:09:46] Performing annual aggregation...\n",
      "[2018-12-13 13:09:47] Done.\n"
     ]
    }
   ],
   "source": [
    "SUf.bc <- biasCorrection(y = SU, x = SUh, newdata = SUf, \n",
    "                         method = \"scaling\", scaling.type = \"additive\")\n",
    "SUf.bc.annual <- aggregateGrid(SUf.bc, aggr.y = list(FUN = \"sum\"))\n",
    "CCsignal.bc <- gridArithmetics(SUf.bc.annual, \n",
    "                            SU.annual,\n",
    "                            operator = \"-\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By plotting the resulting objects we obtain Figures \\ref{fig:fig3c} (Fig. 3c in the manuscript) and \\ref{fig:fig3d} (not shown in the manuscript):  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:10:21] - Computing climatology...\n",
      "[2018-12-13 13:10:21] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ydX6oTfVsehc7Pf3H4St8b8j4OCruV3l5KadeToX5FRl14mpXfsoDlxosXkiQP1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PSUYNAACgoaWrvLp5+Vy4RNgowCxeERKJ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\nSvZXJUAikRISEs6ePZuenj516tTw8PCe9exD0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CEHYAAEEIOwCAIIQdAEAQwg4A\nIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEA\nBCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCA\nIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQ\nhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACC\nEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQ\nwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC\n2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEI\nOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhh\nBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHs\nAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQd\nAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLAD\nAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYA\nAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4A\nIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEA\nBCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCA\nIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQ\nhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACC\nEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQ\nwg4AIAhhBwAQhLADAAhC2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQhLADAAhC\n2AEABCHsAACCEHYAAEEIOwCAIIQdAEAQwg4AIAhhBwAQxP8BQbjziN82wV8AAAAASUVORK5C\nYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SUf.bc.annual), backdrop.theme = \"countries\", \n",
    "            at = seq(0, 260, 10), col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:10:32] - Computing climatology...\n",
      "[2018-12-13 13:10:32] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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viM422bORnwGmHX9SiyuOxuQcnjwpLn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FOax9oFauoTYQOG95UKnUfv36tbe1QgDo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\nrkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(CCsignal.bc), backdrop.theme = \"countries\",\n",
    "            at = seq(0, 80, 5), col.regions = colorRampPalette(colsdelta))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Other useful plotting function is `temporalPlot` that displays temporal series of multiple datasets\n",
    "and periods on the same plot. Here we plot the series corresponding to a single grid box (`latLim = 41.64`, `lonLim = -0.89`). If several grid boxes are considered (e.g. the whole domain) `temporalPlot` performs the spatial (`lat` and `lon` dimensions) aggregation before plotting (the `mean` is computed by default, type `?temporalPlot`).\n",
    "\n",
    "Note that function `temporalPlot` is based on `lattice` and arguments from function `xyplot` are optionally passed to argument `xyplot.custom`, allowing for a fine tuning of multiple graphical parameters. The next code chunk generates Figure \\ref{fig:fig4} (Fig. 4 in the manuscript)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "pad applied on the interval: year\n",
      "pad applied on the interval: year\n",
      "pad applied on the interval: year\n",
      "pad applied on the interval: year\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JPJhLsgUjk5OfHx8bEehTxF74IeBnbc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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = c(\"black\", \"red\", \"red\", \"blue\")\n",
    "temporalPlot(\"E-OBS\" = SU.annual, \n",
    "             \"CDX_hist\" = SUh.interp, \n",
    "             \"CDX_rcp85\" = SUf.interp, \n",
    "             \"CDX_rcp85_corrected\" = SUf.bc.annual, \n",
    "             latLim = 41.64, lonLim = -0.89, \n",
    "             cols = cols, lwd = 0.8, \n",
    "             xyplot.custom = list(ylab = \"\", ylim = c(70, 220)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SU' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SU.annual' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUh' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUh.annual' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUh.interp' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUf' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUf.interp' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUf.annual' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUf.bc' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'SUf.bc.annual' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'CCsignal' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'CCsignal.bc' not found”Warning message in rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", :\n",
      "“object 'bias' not found”"
     ]
    }
   ],
   "source": [
    "rm(list = c(\"SU\", \"SU.annual\", \"SUh\", \"SUh.annual\", \"SUh.interp\", \"SUf\", \"SUf.interp\", \"SUf.annual\", \"SUf.bc\", \"SUf.bc.annual\", \"CCsignal\", \"CCsignal.bc\", \"bias\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Working with daily data\n",
    "\n",
    "Alternatively, the SU index could be calculated using the `climate4R.climdex` package from the original variable (maximum temperature). To do so, we first load daily maximum temperature data by using the previously created dictionaries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:12:10] Defining harmonization parameters for variable \"tasmax\"\n",
      "[2018-12-13 13:12:11] Opening dataset...\n",
      "[2018-12-13 13:12:12] The dataset was successfuly opened\n",
      "[2018-12-13 13:12:12] Defining geo-location parameters\n",
      "[2018-12-13 13:12:12] Defining time selection parameters\n",
      "[2018-12-13 13:12:12] Retrieving data subset ...\n",
      "[2018-12-13 13:18:19] Done\n",
      "[2018-12-13 13:18:19] Defining harmonization parameters for variable \"tasmax\"\n",
      "[2018-12-13 13:18:19] Defining geo-location parameters\n",
      "[2018-12-13 13:18:19] Defining time selection parameters\n",
      "[2018-12-13 13:18:19] Retrieving data subset ...\n",
      "[2018-12-13 13:18:26] Done\n",
      "[2018-12-13 13:18:26] Defining harmonization parameters for variable \"tasmax\"\n",
      "[2018-12-13 13:18:27] Defining geo-location parameters\n",
      "[2018-12-13 13:18:27] Defining time selection parameters\n",
      "[2018-12-13 13:18:27] Retrieving data subset ...\n",
      "[2018-12-13 13:18:32] Done\n"
     ]
    }
   ],
   "source": [
    "TX <- loadGridData(eobs,\n",
    "                   var = \"tasmax\",\n",
    "                     season = 1:12,\n",
    "                         lonLim = lon,\n",
    "                         latLim = lat,\n",
    "                         years = 1971:2000,\n",
    "                         dictionary = \"dicEOBS.dic\")\n",
    "TXh <- loadGridData(dataset = \"CDX_hist.ncml\",\n",
    "                     var = \"tasmax\",\n",
    "                     season = 1:12,\n",
    "                     lonLim = lon,\n",
    "                     latLim = lat,\n",
    "                     years = 1971:2000,\n",
    "                     dictionary = \"dicCDX.dic\")\n",
    "TXf <- loadGridData(dataset = \"CDX_rcp85.ncml\",\n",
    "                     var = \"tasmax\",\n",
    "                     season = 1:12,\n",
    "                     lonLim = lon,\n",
    "                     latLim = lat,\n",
    "                     years = 2071:2100,\n",
    "                     dictionary = \"dicCDX.dic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since we are now working with daily data, we can use the EQM (Empirical Quantile Mapping) method to bias correct the original variable. As pointed in the previous section, CORDEX projections are built over rotated grids. Nevertheless, function `biasCorrection` performs data interpolation internally taking as spatial reference the grid of observation data (E-OBS, object `TX`). Therefore, it is not necessary to use `interpGrid` before applying `biasCorrection`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 13:25:03] Argument precipitation is set as FALSE, please ensure that this matches your data.\n",
      "[2018-12-13 13:27:50] Number of windows considered: 52...\n",
      "[2018-12-13 13:27:50] Bias-correcting 1 members separately...\n",
      "[2018-12-13 13:34:04] Done.\n"
     ]
    }
   ],
   "source": [
    "TXf.bc <- biasCorrection(y = TX, \n",
    "                         x = TXh, \n",
    "                         newdata = TXf, \n",
    "                         method = \"eqm\",\n",
    "                         window = c(30, 7), \n",
    "                         extrapolation = \"constant\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we calculate the annual SU index with function `climdexGrid` for future raw (object `SUf`) and bias corrected (object `SUf.bc`) CORDEX data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 15:51:00] Calculating SU ...\n",
      "[2018-12-13 15:51:38] Done\n",
      "[2018-12-13 15:51:40] Calculating SU ...\n",
      "[2018-12-13 15:52:39] Done\n"
     ]
    }
   ],
   "source": [
    "SUf <- climdexGrid(tx = TXf, index.code = \"SU\")\n",
    "SUf.bc <- climdexGrid(tx = TXf.bc, index.code = \"SU\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To obtain comparable maps and/or perform further operations between the obtained results (e.g. using `gridArithmetics`), we can interpolate the raw SU index (function `interpGrid`) to the E-OBS spatial grid and apply the land-sea mask (function `gridArithmetics`) in the manner previously shown:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "NOTE: argument 'bilin.method' ignored for nearest neighbour interpolation\n",
      "[2018-12-13 15:53:58] Calculating nearest neighbors...\n",
      "[2018-12-13 15:53:58] Performing nearest interpolation... may take a while\n",
      "[2018-12-13 15:53:58] Done\n"
     ]
    }
   ],
   "source": [
    "SUf.interp <- interpGrid(SUf, getGrid(TX))\n",
    "SUf.interp <- gridArithmetics(SUf.interp, eobs.mask, operator = \"+\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, the maps of raw and bias corrected SU index for the EC-EARTH driven, RCP8.5 scenario (period 2071-2100) are plotted, resulting in Figures \\ref{fig:fig5a} (Not shown in the manuscript) and \\ref{fig:fig5} (Fig. 5 in the manuscript)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 15:54:03] - Computing climatology...\n",
      "[2018-12-13 15:54:03] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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TdiY2MTEhK0tbVnzbSdOnWqqqpqqxz8ffGXrRu3rPf2I4S8ePEi7XVaVymZv4xG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\nRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SUf.interp), backdrop.theme = \"countries\", \n",
    "            at = seq(0, 260, 10), col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2018-12-13 15:54:12] - Computing climatology...\n",
      "[2018-12-13 15:54:12] - Done.\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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w5JSUnGxtUvBIdgByIs6fjRnG/fJsyYrSwvsXH1+vCNW2bNnTNm4niOOD5ZA4EY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5c8mSJdu3bw8JCfn777+zsrIYO1fOJJia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\nSUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spatialPlot(climatology(SUf.bc), backdrop.theme = \"countries\", \n",
    "            at = seq(0, 260, 10), col.regions = colorRampPalette(colsindex))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "rm(list = c(\"TX\",\"TXh\", \"TXf\", \"TXf.bc\", \"SUf\", \"SUf.bc\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Other available material\n",
    "\n",
    "* [2018_climate4R_example2.pdf](https://github.com/SantanderMetGroup/notebooks/blob/devel/2018_climate4R_example2.pdf) contains the full code for **Example 2** of the paper `climate4R: An Ecosystem of R packages for Climate Data Access, Post-processing and Bias Correction'.\n",
    "* Find more worked examples on the utilization of climate4R packages in their respective GitHub **wiki**-s at [https://github.com/SantanderMetGroup](https://github.com/SantanderMetGroup):\n",
    "    + [loadeR: https://github.com/SantanderMetGroup/loadeR/wiki](https://github.com/SantanderMetGroup/loadeR/wiki)\n",
    "    + [transformeR: https://github.com/SantanderMetGroup/transformeR/wiki](https://github.com/SantanderMetGroup/transformeR/wiki)\n",
    "    + [downscaleR: https://github.com/SantanderMetGroup/downscaleR/wiki](https://github.com/SantanderMetGroup/downscaleR/wiki)\n",
    "    + [visualizeR: https://github.com/SantanderMetGroup/visualizeR/wiki](https://github.com/SantanderMetGroup/visualizeR/wiki) \n"
   ]
  }
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