USU NIDIS Drought Server Update Jeff Horsburgh, Kim Schreuders David Tarboton, Stephanie Reeder Avirup Sen Gupta.

Slides:



Advertisements
Similar presentations
The CUAHSI Community Hydrologic Information System David Tarboton, David Maidment, Ilya Zaslavsky, Dan Ames, Jon Goodall, Richard Hooper, Jeffrey Horsburgh.
Advertisements

CUAHSI – Unidata Collaboration Opportunities Support EAR CUAHSI HIS Sharing hydrologic data David Tarboton.
GEOSS Water Services for Data and Maps Community Recommendations David K. Arctur, Project Lead, GEOSS AIP-6 Water SBA University.
HydroServer A Platform for Publishing Space- Time Hydrologic Datasets Support EAR CUAHSI HIS Sharing hydrologic data Jeffery.
Sharing Hydrologic Data with the CUAHSI Hydrologic Information System Support EAR CUAHSI HIS Sharing hydrologic data David.
This work is funded by the Inland Northwest Research Alliance INRA Constellation of Experimental Watersheds: Cyberinfrastructure to Support Publication.
ICEWATER: INRA Constellation of Experimental Watersheds Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S. Horsburgh, Utah State.
Linking HIS and GIS How to support the objective, transparent and robust calculation and publication of SWSI? Jeffery S. Horsburgh CUAHSI HIS Sharing hydrologic.
This work is funded by National Science Foundation Grant EAR Accessing and Sharing Data Using the CUAHSI Hydrologic Information System CUAHSI HIS.
CUAHSI HIS Data Services Project David R. Maidment Director, Center for Research in Water Resources University of Texas at Austin (HIS Project Leader)
Services-Oriented Architecture Updates David Maidment Part of a presentation made to the HIS Standing Committee, Washington DC, Nov 15, 2010.
Components of an Integrated Environmental Observatory Information System Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S.
This work was funded by the U.S. National Science Foundation under grant EAR Any opinions, findings and conclusions or recommendations expressed.
The HydroServer Platform for Sharing Hydrologic Data Support EAR CUAHSI HIS Sharing hydrologic data David G Tarboton, Jeffery.
HydroServer A Platform for Publishing Space- Time Hydrologic Datasets Support EAR CUAHSI HIS Sharing hydrologic data Jeffery.
Time Series Analyst An Internet Based Application for Viewing and Analyzing Environmental Time Series Jeffery S. Horsburgh Utah State University David.
Development of a Community Hydrologic Information System Jeffery S. Horsburgh Utah State University David G. Tarboton Utah State University.
Two NSF Data Services Projects Rick Hooper, President Consortium of Universities for the Advancement of Hydrologic Science, Inc.
Using GIS in Creating an End-to- End System for Publishing Environmental Observations Data Jeffery S. Horsburgh David G. Tarboton, David R. Maidment, Ilya.
Integrating Historical and Realtime Monitoring Data into an Internet Based Watershed Information System for the Bear River Basin Jeff Horsburgh David Stevens,
Introducing the CUAHSI Hydrologic Information System Desktop Application (HydroDesktop) and Open Development Community Jiří Kadlec, Daniel Ames, Teva Velupillai.
Deployment and Evaluation of an Observations Data Model Jeffery S Horsburgh David G Tarboton Ilya Zaslavsky David R. Maidment David Valentine
Integrated Modeling & Data Access — CUAHSI HIS HydroModeler Jon Goodall, Assistant Professor Department of Civil and Environmental Engineering David Maidment.
HIS Team and Collaborators University of Texas at Austin – David Maidment, Tim Whiteaker, Ernest To, Bryan Enslein, Kate Marney San Diego Supercomputer.
An End-to-End System for Publishing Environmental Observations Data Jeffery S. Horsburgh David K. Stevens, David G. Tarboton, Nancy O. Mesner, Amber Spackman.
A Services Oriented Architecture for Water Resources Data David R. Maidment Center for Research in Water Resources University of Texas at Austin EPA Storet.
Using HydroServer Organize, Manage, and Publish Your Data Support EAR CUAHSI HIS Sharing hydrologic data Jeffery S. Horsburgh.
Setting up a HydroServer Support EAR CUAHSI HIS Sharing hydrologic data Jeffery S. Horsburgh David G. Tarboton, Kimberly.
About CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities.
Ocean Sciences What is CUAHSI? CUAHSI – Consortium of Universities for the Advancement of Hydrologic Science, Inc Formed in 2001 as a legal entity Program.
Abstract Archiving and Near Real Time Visualization of USGS Instantaneous Data Ilya Zaslavsky, David Ryan, Thomas Whitenack, David Valentine, Matthew Rodriguez.
About CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is an organization representing 120+ universities.
Crossing the Digital Divide Presented by: Fernando R. Salas David Maidment, Enrico Boldrini, Stefano Nativi, Ben Domenico OGC Technical Meeting – Met/Occean.
Water Web Services David R. Maidment Center for Research in Water Resources University of Texas at Austin Open Waters Symposium Delft, the Netherlands.
Data Interoperability in the Hydrologic Sciences The CUAHSI Hydrologic Information System David Tarboton, David Maidment, Ilya Zaslavsky, Dan Ames, Jon.
CUAHSI Hydrologic Information System an introduction Ilya Zaslavsky Director, Spatial Information Systems Lab San Diego Supercomputer Center University.
Advancing an Information Model for Environmental Observations Jeffery S. Horsburgh Anthony Aufdenkampe, Richard P. Hooper, Kerstin Lehnert, Kim Schreuders,
Publishing Observations Data: from ODM to HIS Central.
James Seppi CE394K Hydrology, Spring 2010 University of Texas.
Hydrologic Information System for the Nation I. Zaslavsky (SDSC) & The CUAHSI HIS Project his.cuahsi.org, hiscentral.cuahsi.org.
CUAHSI, WATERS and HIS by Richard P. Hooper, David G. Tarboton and David R. Maidment.
H43H-1325 Kimberly A.T. Schreuders, David G. Tarboton, Jeffery S. Horsburgh, Avirup Sen Gupta, and Stephanie Reeder Utah State University CUAHSI HIS
Overview of CUAHSI HIS Version 1.1 David R. Maidment Director, Center for Research in Water Resources University of Texas at Austin CUAHSI Biennial Science.
Hydrologic Information System for the Nation I. Zaslavsky (SDSC) & The CUAHSI HIS Project his.cuahsi.org, hiscentral.cuahsi.org.
CBRFC Website Improvements Conditions Map – Grids Add Precipitation Accumulation Capability – Custom Time Periods Add Flash Flood Guidance Grid – Use Flash.
CUAHSI Hydrologic Information Systems David R. Maidment Center for Research in Water Resources University of Texas at Austin and Ilya Zaslavsky, David.
The CUAHSI Hydrologic Information System Presented by Dr. Tim Whiteaker The University of Texas at Austin 22 February, 2011.
The CUAHSI Community Hydrologic Information System Jeffery S. Horsburgh Utah Water Research Laboratory Utah State University CUAHSI HIS Sharing hydrologic.
Bringing Water Data Together David R. Maidment Center for Research in Water Resources University of Texas at Austin Texas Water Summit San Antonio Tx,
The CUAHSI Observations Data Model Jeff Horsburgh David Maidment, David Tarboton, Ilya Zaslavsky, Michael Piasecki, Jon Goodall, David Valentine,
CUAHSI HIS: Science Challenges Linking small integrated research sites (
Western States Water Council September 15, 2010 Washington, D.C. 1 Jim Verdin U.S. Geological Survey NIDIS Program Office NOAA/Earth System Research Laboratory.
Hydroinformatics Lecture 15: HydroServer and HydroServer Lite The CUAHSI HIS is Supported by NSF Grant# EAR CUAHSI HIS Sharing hydrologic data.
The Bear River Watershed Information System Jeffery S. Horsburgh Utah Water Research Laboratory Utah State University David.
Developing a community hydrologic information system David G Tarboton David R. Maidment (PI) Ilya Zaslavsky Michael Piasecki Jon Goodall
The CUAHSI Hydrologic Information System Spatial Data Publication Platform David Tarboton, Jeff Horsburgh, David Maidment, Dan Ames, Jon Goodall, Richard.
Hydroinformatics Lecture: HydroServer .NET/PHP
Using GIS in Creating an End-to-End System for Publishing Environmental Observations Data Jeffery S. Horsburgh David G. Tarboton, David R. Maidment, Ilya.
The CUAHSI Community Hydrologic Information System
Developing a Community Hydrologic Information System
Sharing Hydrologic Data with the CUAHSI* Hydrologic Information System
The CUAHSI Hydrologic Information System and NHD Plus A Services Oriented Architecture for Water Resources Data David G Tarboton David R. Maidment (PI)
Lecture 8 Database Implementation
CUAHSI HIS Sharing hydrologic data
Hydroinformatics Lecture 15: HydroServer (and HydroServer Lite)
HydroDesktop: A Key Component of the CUAHSI/CZO HIS for Hydrologic Data Discovery, Visualization, and Analysis Daniel P. Ames, Ph.D. P.E. Idaho State University.
Flow Prediction on the Yampa River
David Tarboton, Dan Ames, Jeffery S. Horsburgh, Jon Goodall
Refined NIDIS Application for the Upper Colorado River Basin
Annual Snow Pack Effect on Lake Powell
Presentation transcript:

USU NIDIS Drought Server Update Jeff Horsburgh, Kim Schreuders David Tarboton, Stephanie Reeder Avirup Sen Gupta

Goals CUAHSI HydroServer – Data Publication CUAHSI HydroDesktop – Data Access and Analysis Enhance access to drought related data Enable custom drought index evaluation Lake Powell Inflow and Storage

Aggregated Data Values ODM NWIS WOF SNOTEL WOF USBR Reservoir WOF NCDC Precip WOF SNODAS WOF Harvest Utility Get Data and Aggregate to Monthly and Half Monthly Calculate Data Distributions Calculate Drought Index Values WOF HydroDesktop Displays “published” drought index values Calculates and displays “personal” index values Map Application (ArcGIS Server) ESRI Base Map Services Hosted Map Services GIS Framework Time Series Analyst Overall System Architecture

Set of query functionsReturns data in WaterML Zaslavsky et al., 2007, OGC r1, WaterML and WaterOneFlow WaterML is an XML language for communicating water data WaterOneFlow is a set of web services based on WaterML.

CUAHSI Web Services Established for Primary Data Sources USGS NWIS – daily streamflow – USDA NRCS SNOTEL – 6 standard variables including SWE – NCDC Precipitation – precipitation data only – USBR Reservoirs – storage, elevation, inflow, outflow – SNODAS HUC8,10,12 – snow water equivalent – – – The foundation of the system: multiple data sources with common interfaces and a common data transmission language (WaterML)

WaterOneFlow Web Services For Agency Data 2 Different Modes Catalog Metadata Harvester WaterOneFlow Web Service Mode 1: Pass Through (NWIS, SNOTEL, USBR) Mode 2: Store and Serve (NCDC, SNODAS) Catalog + Data Metadata and Data Harvester WaterOneFlow Web Service GetSites GetSiteInfo GetVariables GetVariableInfo GetValues Agency Website or Web Service Providing Data WaterML

Primary data sources accessible in HydroDesktop

Value added data Level 1 – original agency data collected at points (USGS gages, SNOTEL Sites, etc.) Level 2 – time aggregated Level 1 data, monthly and half monthly Level 3 – spatial aggregation of Level 2 data for each drought index input variable at HUC10 level Level 4 – drought index values calculated for HUC10s based on Level 3 values

Ongoing Web Service Work Reservoirs – working with CBRFC to get access to all of the reservoir data that they have, not just USBR reservoirs (this would be a new service) SNODAS – we have loaded everything they have given us, but need to figure out how to update

Time Aggregated Level 2 Data Level 1 data harvested from the WaterOneFlow web services Level 1 data are aggregated based on data type – e.g., sum, ending value – Monthly – Half monthly Published using a WaterOneFlow web service Provide the time aggregated data that serve as inputs for calculating Level 3 data for each spatial unit for which drought indices can be calculated.

Spatially Aggregated Level 3 Data Drought Index Input Variables for Spatial Units USGS 10 Digit Hydrologic Units (~300 in Upper Colorado) Provide an estimate for each drought index variable for each HUC10 unit – streamflow, reservoir storage, precipitation, snow water equivalent Publish the Level 3 data for each 10 digit HUC using a WaterOneFlow web service.

Spatial Interpolations Streamflow - Gage subwatershed approach – Runoff estimated for gage subwatersheds (adjusted for reservoir storage changes) – Area weighted average runoff calculated for each HUC10 based on area of gage subwatersheds in each HUC10 – Subwatershed streamflow (local contribution) and watershed streamflow (everything upstream) Precipitation – Delaunay triangle interpolation Reservoir Storage Snow Water Equivalent – Delaunay triangle interpolation of SNOTEL Sites with elevation correction? – Use SNODAS data

Calculating available flow for HUC watersheds A B Q1Q1 Q2Q2 S1S1 Q1Q2S1Q1Q2S1 R A =Q 1 /A A R B =(Q 2 - Q 1 -  S 1 )/A B H1H1 H2H2 H3H3 a1a1 a 2A a 2B a3a3 R H1 =R B R H2 =(a 2A R A +a 2B R B )/(a 2A +a 2B ) R H3 =R B Q H1 =R H1 a 1 Q H2 =R H2 a 2 (a 2 =a 2A +a 2B ) Q H3 =R H3 a 3 +Q H1 +Q H2 Gage subwatershed unit runoff HUC 10 unit runoff HUC 10 available streamflow (everything upstream) Measured flow and storage

Precipitation interpolation and adjustment

Precipitation interpolation

Level 4 – Calculated Drought Index Values Use Level 3 data in drought index equations to calculate index values for 10 digit HUCs Publish drought index values as a web service Display visually in the map application – Display 10 digit HUCs colored by drought index values

HydroServer Website

Map Application and Time Series Analyst

This is an open system, with open source development. Contributors and development partners are welcome

Conclusions Framework for a standards based sharing of drought information established Desktop based customization possible Need to incorporate additional drought information content Need to transition to sustainable agency based services 20