In this web folder you could find the information generated for the Lisboa area under the RESCCUE project. There is a directory for every meteorological variable or derived product. The observed data for every meteorological variable are inside its own directory, into a sub-directory called "00_Observed". A plain text file for every variable is provided in this main folder, where the meteorological stations are detailed. There are nine fields (nine columns) in this text files: Identification number Longitude Latitude Elevation (if provided - if not, a negative value as "-99" or "-999") Station name Location (if provided - if not, sometimes filled with the department / province) Department / Province (if provided) Country Source of the data In general (but see the notes for every meteorological variable), each variable has data for ten climate models: Name Institution -------------- ------------------------------------------------------------------------------------------------------------------------------------------------------------------ ACCESS1-0 Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Bureau of Meteorology (BOM) (Australia) BCC-CSM1-1 Beijing Climate Center, China Meteorological Administration (BCC) (China) CanESM2 Canadian Centre for Climate Modelling and Analysis (CCCma) (Canada) CNRM-CM5 Centre National de Recherches Meteorologiques / Centre Europeen de Recherche et Formation Avancees en Calcul Scientifique (CNRM) (France) GFDL-ESM2M Geophysical Fluid Dynamics Laboratory (GFDL) (USA) HADGEM2-CC Met Office Hadley Centre (MOHC) (UK) MIROC-ESM-CHEM Japan Agency for Marine-Earth Science and Technology, Atmosphere and Ocean Research Institute, and National Institute for Environmental Studies (MIROC) (Japan) MPI-ESM-MR Max Planck Institute for Meteorology (MPI-M) (Germany) MRI-CGCM3 Meteorological Research Institute (MRI) (Japan) NorESM1 Norwegian Climate Centre (NCC) (Norway) The core future scenarios (mandatory for the CMIP5 and the IPCC5, and so provided for every climate model), are Historical Simulation of the past, used as a baseline for every model. Usually, from 1950 to 2005. RCP4.5 Simulation of the future. Usually, from 2006 to 2100. RCP8.8 Simulation of the future. Usually, from 2006 to 2100. Some climate models (but not every one) provide some extra future scenarios (but see the notes for every meteorological variable): RCP2.6 Simulation of the future. Usually, from 2006 to 2100. RCP6.0 Simulation of the future. Usually, from 2006 to 2100. For every meteorological station / every meteorological variable / every climate model / every scenario, there is a plain text file with the results. There is a row for every day and columns specifiyng the year, the month, the day and the value of the studied variable. The field separator is the tab. ################## PRECIPITATION Daily precipitation. There are two kinds of observational data in the /Precipitation/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 4 fields for every file (for every meteorological station): Year Month Day Precipitation 2) Extended When are not available, we have filled the data with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. 4 fields for every file (for every meteorological station): Year Month Day Precipitation Ten climate models. Units: milimeters. ################## TEMPERATURE Maximum and minimum daily temperature. There are two kinds of observational data in the /Temperature/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 5 fields for every file (for every meteorological station): Year Month Day Maximum temperature Minimum temperature 2) Extended When are not available, we have filled the data with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. 4 fields for every file (for every meteorological station, there is one file for maximum temperature and another one for minimum temperature): Year Month Day Temperature (maximum / minimum, according to the file) Ten climate models. Units: celsius degrees. ################## SEA LEVEL - MONTHLY Sea level data. The data provided are at a monthly scale; climate models do not provide daily data for this variable. Nine climate models (BCC-CSM1-1 does not provide sea level data). Units: meters. ################## WIND Daily mean wind speed. There are two kinds of observational data in the /Wind/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 5 fields for every file (for every meteorological station): Year Month Day Wind gust (NOT used in this simulation) Daily mean wind speed NOTE than in this file "NA" is used to point out that data is Not Available. 2) Extended As there were too litte data, we have filled them with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. THESE are the used data for the future climate simulations. 4 fields for every file (for every meteorological station): Year Month Day Daily mean wind speed Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: km / h ################## WIND GUST Daily wind gust. There are two kinds of observational data in the /WindGust/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 5 fields for every file (for every meteorological station): Year Month Day Wind gust Daily mean wind speed (NOT used in this simulation) NOTE than in this file "NA" is used to point out that data is Not Available. 2) Extended As there were too litte data, we have filled them with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. THESE are the used data for the future climate simulations. 4 fields for every file (for every meteorological station): Year Month Day Wind gust Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: km / h ################## MEAN SEA LEVEL PRESSURE Daily mean sea level pressure. There are two kinds of observational data in the /MeanSeaLevelPressure/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 4 fields for every file (for every meteorological station): Year Month Day Mean Sea Level Pressure 2) Extended As there were too litte data, we have filled them with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. THESE are the used data for the future climate simulations. Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: mbar ################## RELATIVE HUMIDITY Daily mean relative humidity. There are two kinds of observational data in the /RelativeHumidity/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 4 fields for every file (for every meteorological station): Year Month Day Relative Humidity 2) Extended As there were too litte data, we have filled them with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. THESE are the used data for the future climate simulations. Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: % ################## MAXIMUM RELATIVE HUMIDITY Daily maximum relative humidity. There are two kinds of observational data in the /RelativeHumidity_MAX/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 4 fields for every file (for every meteorological station): Year Month Day Maximum Relative Humidity 2) Extended As there were too litte data, we have filled them with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. THESE are the used data for the future climate simulations. Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: % ################## MINIMUM RELATIVE HUMIDITY Daily minimum relative humidity. There are two kinds of observational data in the /RelativeHumidity_MIN/00_Observed folder: 1) Originals The raw observed data as it was provided. It has 4 fields for every file (for every meteorological station): Year Month Day Minimum Relative Humidity 2) Extended As there were too litte data, we have filled them with our downscaled simulations from the ERA-Interim reanalysis. If there was a gap (no observational data), it is filled with the downscaled simulation; if there was observed daily data, then that raw observational data. THESE are the used data for the future climate simulations. Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: % ################## EVAPOTRANSPIRATION Daily evapotranspiration. Due to the shortage of evapotranspiration data, we have calculated the observed amount of evapotranspiration using the observed maximum and minimum daily temperature and the observed daily precipitation. That's why every file (for every meteorological station) of the observational data has 7 fields: Year Month Day Maximum daily temperature (celsius degrees) Minimum daily temperature (celsius degrees) Precipitation (milimeters) Evapotranspiration For calculating the evapotranspiration, we have used the Hargreaves methodology but, as precipitation data are available, a modified form due to Droogers and Allen has been used. For more details, see: Hargreaves G.H. 1994. Defining and using reference evapotranspiration. Journal of Irrigation and Drainage Engineering 120: 1132–1139. Droogers P., Allen R. G., 2002. Estimating reference evapotranspiration under inaccurate data conditions. Irrigation and Drainage Systems 16: 33–45. Ten climate models. Units: milimeters. ################## PRECIPITATION AT A SUBDAILY SCALE Sub-Daily precipitation, at a 60-minutes scale. WARNING: these plain text files may be too big for a simple text editor and may cause its collapse. There are two kinds of observational data in the /Precipitation_SubDaily/00_Observed folder: 1) Observed The raw observed data as it was provided. It has 2 fields for every file (for every meteorological station): datetime YYYY-MM-DD HH:MM:SS precip_inc_mm 2) Simulated Stochastic simulations of the 5-minutes precipitation based in the n-index of the observed precipitation. For more information, see Monjo, R. (2016) Measure of rainfall time structure using the dimensionless n-index. Climate Research, 67: 71-86. DOI: 10.3354/cr01359. It has 2 fields for every file (for every meteorological station): datetime YYYY-MM-DD HH:MM:SS precip_inc_mm Ten climate models. NOTE that we have simulated, for every climate model, and besides the Historical, only two future scenarios, RCP4.5 and RCP8.5 (the core future scenarios). Units: milimeters. ################## IDF CURVES This directory contains a zip with three files per station: 1. PNG file to summarise the IDF curves and change factors.......... IDF.FUTURE_[station_ID]-subdaily.png 2. TXT file to summarise the IDF curves ............................ IDF.FUTURE_[station_ID]-subdaily.txt 3. TXT file to summarise the IDF change factors..................... Change_factor_[station_ID]-subdaily.txt