Embed Size (px)
DESCRIPTION
Presentation by Siri Johda Khalsa during the afternoon Sessions of Day 1, June 24 at the EarthCube All-Hands Meeting
Citation preview
Global Topography Based Watershed Parameterization
Watershed models require data sets from the geological, biogeochemical, agricultural, space and atmospheric sciences, with no common set of data formats, and different spatial and temporal characteristics. We will demonstrate that the BCube brokering can significantly decrease the effort of watershed initialization, allowing researchers to focus on the cross collaborative scientific research.
Weather Forcing Data
Watershed Management
Global and Regional SoilsCharacterization
Global and Regional Landuse
Global Elevation DatasetsGDEM, SRTM, USGS
Hydrological/Watershed Modeling Scenario Overview
FlowScientist zooms into area with extents
covering watershed
Area sent to broker which returns available DEM options
Scientist chooses DEM, which the Broker then returns projected and combined DEM
Scientist runs through watershed delineation
Area is sent to broker to obtain Soils options, Landuse (FAO, NCDC, NASA), historical weather (NCAR, NCDC), and future climate (IPCC)
Data RequirementsElevation (GDEM, SRTM, USGS), Soils
(FAO, SSURGO), Landuse (FAO, NCDC, NASA), Historical Weather (NCAR, NCDC), Short term forecasts (NWS, NCEP), Future Climatology (IPCC), and Stream Flow (USGS, GRDC)
Frosting on the CakeBroker locates additional sources of
weather forcing data, stream flow, landuse, or other compatible datasets for corroborating globally relevant watershed models
Assumptions
The Hydrologist thinks the world is as data rich as the experimental fields they have been monitoring
The Hydrologist knows nothing about spatial data manipulation
The Hydrologist knows nothing about temporal data manipulation
The Hydrologist has used a GIS sometime during their life
Hydrologists are experts in many different fields, so we must assume each is ignorant in ours
NeedsGIS and standard data access connectors (WCS)
Global Topography Based Watershed Parameterization
Weather Forcing Data
Watershed Management
Global and Regional SoilsCharacterization
Global and Regional Landuse
Global Elevation DatasetsGDEM, SRTM, USGS
First Examples
Study 1 – Influence of DEM Source and Resolution on Regional Water Quality
Broker provides handles to:
USGS 3, 10, 30m DEMs
SRTM 90m
SRTM 30m
ASTER GDEM 30m
Simple and Quick Comparisons
Simple and Quick Comparisons
Global Topography Based Watershed Parameterization
Weather Forcing Data
Watershed Management
Global and Regional SoilsCharacterization
Global and Regional Landuse
Global Elevation DatasetsGDEM, SRTM, USGS
