Refined NIDIS Application for the Upper Colorado River Basin

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Presentation transcript:

Refined NIDIS Application for the Upper Colorado River Basin

What is NIDIS? National Integrated Drought Information System Implementation of National Drought Policy Act of 1998 Goal of NIDIS: Develop the leadership and networks to implement an integrated drought monitoring and forecasting system at federal, state, and local levels Foster and support a research environment focusing on risk assessment, forecasting, and management Create an "early warning system" for drought to provide accurate, timely, and integrated information Develop interactive systems, such as the Web Portal, as part of the early warning system Provide a framework for public awareness and education about droughts

Goals Provide platform for refined (smaller scale) visualization of drought index values Provide framework for manual calculation of drought index values Import data Defining rules for interpolation Perform required calculations / spatial analysis

Displays “published” drought index values NWIS WOF SNOTEL WOF Reservoir WOF Precip WOF Soil Moisture WOF HydroDesktop Plug-in Displays “published” drought index values Calculates and displays “personal” index values Harvest Utility Get Data and Convert to Monthly Monthly Data ODM WOF GIS Framework Calculate Data Distributions Calculate Drought Index Values Map Application ASP.Net ArcGIS Server ESRI Base Map Services WOF Calculated Values ODM Hosted Map Services Time Series Analyst

Parameters for Term Project Subset of Upper Colorado River Basin Visualize index values at scale of HUC 10 catchments Calculate drought index values using the revised SWSI method

Revised SWSI Currently used by state of Colorado for drought forecasts Uses forecast streamflow and reservoir values P = nonexceedance probability SWSI index between -4.1 (extreme drought) and 4.1 (extremely wet)

Data Collection National Hydrologic Dataset Watershed Boundary Dataset Spatial data for USGS stream gages and river network Watershed Boundary Dataset HUC 10 catchments NRCS Spatial data for forecast stream gages Streamflow forecasts USGS Historic streamflow data Bureau of Reclamation Spatial data for reservoirs Historic reservoir data

Revised SWSI Calculation Year Q Apr – Jul (acft) ΔS Apr - Jul (acft) Total (acft) 2010 132776 24640 2009 342358 24068 2008 480627 15817 2007 268674 12548 2006 222310 17288 2005 247864 21380 2004 196515 15118 2003 161306 35933 2002 173066 -9833 2001 222625 14286 2000 258390 11580 … Q tot (acft) Rank Non-exceedance (%) 106497.2 1 1.886792453 136693.5 2 3.773584906 141919.3 3 5.660377358 157416.2 4 7.547169811 163233.5 5 9.433962264 172549.1 6 11.32075472 187641 7 13.20754717 189837.1 8 15.09433962 197239.1 9 16.98113208 200912.9 10 18.86792453 200965.1 11 20.75471698 204366.1 12 22.64150943 …

Revised SWSI Calculation Find correlations to forecast change in reservoir storage Fit forecast total streamflow + change in reservoir storage in ranking to find non-exceedance probability Use non-exceedance probability to calculate revised SWSI Q tot (acft) Rank Non-exceedance (%) 106497.2 1 1.886792453 136693.5 2 3.773584906 141919.3 3 5.660377358 157416.2 4 7.547169811 163233.5 5 9.433962264 172549.1 6 11.32075472 …

Interpolation Gage subwatersheds (GWS) specified between streamflow gages Revised SWSI values assigned GSW interpolated to HUC 10 catchments

To Do: Automate interpolation using model builder Create time series visualizations for temporal variation and comparison between forecast and actual conditions Complete process for entire study area

Questions?