This file contains links and descriptions to datasets that I preprocessed with notebooks presented here.
The same files are located in the Mila cluster at /network/tmp1/ccai/climate/data/.
Source. Please use the following for referencing:
Arsenault, R., Bazile, R., Dallaire-Ouellet, C. and Brissette, F. (2016). CANOPEX: A Canadian hydrometeorological watershed database. Hydrological Processes, 30(15), 2734-2736. doi:10.1002/hyp.10880.
| Dataset name | Link | Description |
|---|---|---|
| canopex_envcan_all.csv | GDrive | CSV file containing a dataframe with all the files (all locations in Canada) from preprocessed_canopex_envcan.tar.gz. |
| canopex_nrcan_all.csv | GDrive | CSV file containing a dataframe with all the files (all locations in Canada) from preprocessed_canopex_nrcan.tar.gz. |
| preprocessed_canopex_nrcan.tar.gz | GDrive | CSV files preprocessed with all_canopex_files.ipynb and add_lat_lon.ipynb. Climate data taken from Environment Canada weather stations. 1: date (yyyymmdd). 2: mean areal precipitation (mm). 3: climatic potential evaporation. 4: daily streamflow discharge (mm). 5: daily maximum air temperature (Celsius). 6: daily minimum air temperature (Celsius). 7: Latitude. 8: Longitude. |
| preprocessed_canopex_nrcan.tar.gz | GDrive | CSV files preprocessed with all_canopex_files.ipynb and add_lat_lon.ipynb. Climate data taken from Natural Resources Canada's 10-km gridded climate data product. 1: date (yyyymmdd). 2: mean areal precipitation (mm). 3: climatic potential evaporation. 4: daily streamflow discharge (mm). 5: daily maximum air temperature (Celsius). 6: daily minimum air temperature (Celsius). 7: Latitude. 8: Longitude. |
| Dataset name | Link | Description |
|---|---|---|
| absolute_sea_level.pkl | GDrive | Pickle file containing a dataframe of the relative water level (in meters) as a function of latitude and longitude. Absolute water level, no comparison with the baseline. "twl_4.5_2050" stands for total water level in the year 2050 under the RCP4.5 projection. The other headers follow the same system. |
| sea_level.pkl | GDrive | Pickle file containing a dataframe of the relative water level (in meters) as a function of latitude and longitude. Difference between total water level of the year and the baseline water level. "twl_4.5_2050" stands for total water level in the year 2050 under the RCP4.5 projection. The other headers follow the same system. |
| sea_level_baseline.h5 | GDrive | Total Water Level components – Present day. 100-year event Total Water Level along the global coastline for the period 1980 - 2014, including the 5th, 50th and 95th quantiles. Similar data are included also for the contributing components: mean sea level, tides and extreme weather events (wave setup+storm surge) |
| sea_level_rcp45.h5 | GDrive | Total Water Level components – RCP45 NetCDF. 100-year event Total Water Level along the global coastline for the period 2015 - 2099 under the RCP45 emissions scenario, including the 5th, 50th and 95th quantiles. Similar data are included also for the contributing components: mean sea level, tides and extreme weather events (wave setup+storm surge). |
| sea_level_rcp85.h5 | GDrive | Total Water Level components – RCP85 NetCDF. 100-year event Total Water Level along the global coastline for the period 2015 - 2099 under the RCP85 emissions scenario, including the 5th, 50th and 95th quantiles. Similar data are included also for the contributing components: mean sea level, tides and extreme weather events (wave setup+storm surge). |
Flood hazard map of the World - 50-year return period - Source
| Dataset name | Link | Description |
|---|---|---|
| inland_continent_flood.h5 | GDrive | Latitude, longitude, and water level. Resolution is 30 arcseconds (approx. 1km). Cell values indicate water depth (in m). |
Coordinates of Canadian provinces (Perimeter)
| Dataset name | Link | Description |
|---|---|---|
| qc_coordinates.xml | GDrive | Quebec |
| alberta_coordinates.csv | GDrive | Alberta |