This is the watershed boundary that can be created by some watershed delineation tools, like ArcGIS, R and etc., using DEM data.
Here is a tutorial of watershed delineation. The USGS Watershed Boundary Dataset (WDB) HUC 2, 8, 10, 12 polygons and WBD lines can be downloaded from this link.
A sample is followed of some HUC12 scale watersheds in WRR6 USGS.
In each HUC, each land cover is simulated individually. Therefore, you need to provide a land cover map for you study area. The classes of those land cover can be defined by your self. You just provide an integer raster for your study area. The resolution of this land cover data will be the smallest resolution used in the data process. Therefore, if you have a very high resolution land cover data, it might take a longer time to process the input data.
The global 90m elevation can be downloaded from NASA's website.
The tool needs an interpolated monthly climate dataset for the process. The format of the monthly climate data can be a stacked "TIFF" grid or "NetCDF" format. You can choose the climate data set you like. A couple of public climate data is followed.
A sample of the climate data can be downloaded from here.
Global:
US:
North America:
China:
CMA
The tool needs an interpolated monthly LAI data for the process. The format of the monthly LAIdata can be a stacked "TIFF" grid or "NetCDF" format. The structure would be the same as the climate data.
MODIS' LAI is used for developing the model. You can download the MODIS's LAI data for you study area from NASA's website.
Eleven soil parameters are needed for each HUC for the simulation. If you have those parameters that would be handy. Otherwise, you might need to derive those 11 soil parameters from soil property data, using the methods in Anderson et al., (2006).
Anderson, R. M., V. I. Koren, and S. M. Reed. (2006). Using SSURGO data to improve Sacramento Model a priori parameter estimates. Journal of Hydrology 320:103-116.
A couple of soil property data is followed.
Global:
Global Man-made Impervious Surface (GMIS) Dataset From Landsat, v1 (2010) can be downloaded from NASA's website.
Upload the watershed boundary file
You can only select a "GML" format file for the watershed boundary. You can covert your shapefile to GML format using the following R code.
```{r}
library(rgdal)
shp<-readOGR("location of your/*.shp")
writeOGR(shp, dsn ="location of the gml file/name.gml" ,layer = "name",driver="GML", overwrite_layer=T)
```
Upload each raster data
As Climate and LAI data are monthly data, so you need to give the start year of the dataset.
Check the update box, if you want to re-process that data.
Elevation raster file
Land cover raster file
Monthly temperature and precipitation file
Monthly LAI file or give the location of the LAI data if you are runing this web-app on you own PC.
Soil raster file
Impervious file
The process of those data
Land cover data, the ratio of each land cover type in each HUC is calculated.
Monthly climate data, the averaged value of each HUC is calculated.
Monthly LAI data, the averaged value of each land cover type in each HUC is calculated.
Elevation, Impervious and soil parameters, the averaged value of each HUC is calculated.