About this Service
This application, also called the Great Lakes Weather Data Service for SWAT (Can-GLWS), is a Data as a Service (DaaS) platform that allows
application users to download SWAT-ready climate data (historical, climate change scenarios and weather statistics) of a pre-specified region
within the Canadian Great Lakes watersheds. The aim of this application is to remove the redundancy associated with SWAT-model weather data
preparation. Service / app users simply need to provide / delineate their area of interest (within the Canadian Great Lakes watersheds),
and they can subsequently download their desired SWAT-model-ready weather inputs (historical, climate change-related or weather statistics).
Data Sources
Historical Data:
SWAT-ready historical weather data is derived from the weather dataset provided by Natural Resources Canada (NRCan)
in the ESRI ASCII file format. The original gridded dataset is available at 300 arc seconds spatial resolution. Further details on the original dataset
are available in
(McKenney et al., 2011) .
Climate Change Data:
SWAT-ready climate change data is derived from the PCIC dataset which is archived at Pacific Climate Impact
Consortium (PCIC)'s
website
. The modified PCIC dataset available here includes
statistically downscaled precipitation, and maximum and minimum temperature data, in SWAT-ready format, at 300 arc seconds (~10km) spatial resolution
for a simulated period until 2100, including a historical period (1950-2005) which was used to calibrate two downscaling methods. The dataset
available in this service includes 12 Global Climate Models (GCM), 3 Scenarios and 2 downscaling methods.
Weather Statistics Database:
The SWAT weather generator statistics dataset (pertaining to precipitation and temperature) are calculated
using historical data of 66-year period (1950-2015)
(McKenney et al., 2011)
. The weather statistics pertaining to solar radiation, wind speed and relative humidity are taken from CFSR database
(CFSR, 2016)
.
Code
This application is developed using R Shiny. The application code is available on
Github
Authors
Dr Narayan K. Shrestha, Watershed Research Group, School of Engineering, University of Guelph, ON, Canada
Dr Taimoor Akhtar, Watershed Research Group, School of Engineering, University of Guelph, ON, Canada
Mr. Uttam Ghimire, Watershed Research Group, School of Engineering, University of Guelph, ON, Canada and Stockholm Environment Institute Asia Center,
Bangkok, Thailand
Dr Ramesh P. Rudra, Watershed Research Group, School of Engineering, University of Guelph, ON, Canada
Dr Pradeep K. Goel, Ministry of the Environment, Conservation and Parks, Etobicoke, ON, Canada
Dr Rituraj Shukla, Watershed Research Group, School of Engineering, University of Guelph, ON, Canada
Dr Prasad Daggupati, Watershed Research Group, School of Engineering, University of Guelph, ON, Canada
Contact
akhtart@uoguelph.ca