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Premium member Presentation Transcript UNIDATA SUMMER WORKSHOPExpanding Horizons: Unsing Environmental Data for Education, Research and Decision Making23-27 June 2003: UNIDATA SUMMER WORKSHOP Expanding Horizons: Unsing Environmental Data for Education, Research and Decision Making 23-27 June 2003 RECENT HYDROLOGIC APPLICATIONS USING REMOTELY SENSED AND ENVIRONMENTAL DATA AND GEOGRAPHIC INFORMATION SYSTEMS Theresa M. Carpenter, P.E. Hydrologic Research Center http://www.hrc-lab.orgTechnology Transfer at the Hydrologic Research Center: Technology Transfer at the Hydrologic Research Center Advancing the science and engineering of hydrology and water resources.Slide3: Outline of Laboratory Session “Hands-on” Demonstration of PANMAP processing Presentation of Recent Applications PANMAP – rainfall estimation and forecasting for the Panama Canal watershed HRCDHM – distributed hydrologic modeling for streamflow forecasting CAFFG – flash flood guidance for Central America INFORM – use of climate information in reservoir managementSlide4: Introduction to PANMAP GOAL: To design and implement a forecasting system for real-time rainfall forecasting over the Panama Canal Watershed Development began in 1997, implemented in Oct 998 Under operational use at the Panama Canal Authority Produces hourly precipitation estimates and forecasts for subcatchments of 150-400km2 with a maximum forecast lead time of 12 hours. Slide5: Need for Forecasting Operation of the Panama Canal 13,000 – 14,000 vessels traverse the Panama Canal each year System of locks raise ships from sea level to level of Lake Gatun (26 m above sea level) between Pacific and Atlantic Oceans Objectives of forecasting is to maintain level of Lake GatunSlide6: Panama Rain Storm Slide7: Panama Canal Watershed 3200km2 of mountainous terrain Divided into 11 subcatchments ranging in size from 150-400 km2 Subcatchment 11 is Lake GatunSlide8: PANMAP Data Sources Radar – 10cm weather radar located in Panama City ALERT gauge – approx. 25 automated hydromet stations located throughout watershed Radiosondes – upper air information from radiosondes launched twice daily ETA model – operational mesoscale prediction produce by NOAA Digital terrain elevation data – used in surface winds analysisSlide9: PANMAP SYSTEMSlide10: PANMAP OutputSlide11: PANMAP OutputSlide12: PANMAP – current status and verification System used operationally since October 1998 at PCA Validation performed for events through December 2001 (Georgakakos and Sperfslage, 2003. Preprints of AMS Annual Meeting 2003, paper J4.10)Slide13: Introduction to HRCDHM Hydrologic Research Center Distributed Hydrologic Model Developed as research tool to explore use of distributed hydrologic model in operational flow forecasting Hydrologic model components for mean areal precipitation computation, runoff-generation and streamflow routing Uses spatially distributed .precipitation input from operational WSR-88D weather radar Allows for spatially distributed parametric input Sponsored by NWS Office of Hydrologic DevelopmentSlide14: Major Components of HRCDHM software 1. Watershed Delineation Based on GIS processing of digital terrain data Provides subcatchment geometric characteristics (A, L, S) used in hydrologic model componentsSlide15: Major Components of HRCDHM software 1. Watershed Delineation Based on GIS processing of digital terrain data 2. Radar Data Processing Ingest of raw (binary) radar files and subbasin MAP computationSlide16: Major Components of HRCDHM software 1. Watershed Delineation Based on GIS processing of digital terrain data 2. Radar Data Processing Ingest of raw (binary) radar files and subbasin MAP computation 3. Hydrologic Modeling Model components based on those used operationally in the U.S.; produces streamflow estimate at outlet of each subcatchmentSlide17: HRCDHM Binary radar files Subcatchment definition subcatchment runoff soil moisture streamflow Subcatchment MAP User-defined aggregation level Radar Processing Hydrologic Modeling Watershed Processing GIS-processed small-scale basins Slide18: HRCDHM InterfaceSlide19: Current Research on Distributed Modeling What is the impact of input uncertainty on flow simulations from distributed model design for operational flow-forecasting? Application basins were NWS-DMIP case study watersheds: Elk River at Tiff City, MO Baron Fork at Eldon, OK Blue River at Blue, OK Illinois River at Watts, OK Illinois River at Tahlequah, OK Examined sensitivity of flow simulations to uncertainty in both radar precipitation input and parametric input through ensemble simulations with HRCDHM Incorporated additional spatial database of soils properties to define distribution of hydrologic model parameters.Slide20: STATSGO Soils DatabaseSlide21: Distribution of Soil Model Parameters Use GIS to determine fraction of each subcatchment covered by different STATSGO map units Compute average and range of soil properties (given in STATSGO database) for each subcatchment for soil zones consistent with hydrologic model Use subcatchment average soil properties to distribute subcatchment soil parameters & range to define uncertainty boundsSlide22: Sensitivity Analysis OutputSlide23: Central America Flash Flood Guidance GOAL: To design and implement a prototype system for computing flash flood guidance and identify regions where precipitation exceeds guidance values in real time. Project began “in earnest” in late 2002; scheduled delivery: Fall 2003. Spatial Resolution of 100 – 300 km2. Real-time precipitation from satellite estimates in conjunction with automated gauges (DCP).Slide24: FROM FLASH FLOOD GUIDANCE TO FLOOD WARNINGSSlide25: Application Region Nicaragua Belize Honduras Costa Rica Guatamala El Salvador Panama 7 Countries in Central America #1 Challenge = Communication! National Meteorologic Service National Hydrologic Services Various Response Agencies Regional Hydrology Center Hydro-electric UtilitiesSlide26: Training and Cooperation Activities with Users Technical System for Flash Flood Guidance Generation Links to Remotely Sensed and On Site Data System Products Dissemination INITIATIVE COMPONENTSSlide28: Satellite Data (NESDIS-NOAA): Based on GOES-12 10.7 micron channel (InfraRed) Spatial resolution of rainfall estimates: 4 km Duration of rainfall estimates: 1, 3, 6, 12, and 24-hour accumulations, updated hourly Raingauge Data: Automated (DCP) continuous recording raingauges Hourly temporal resolution of rainfall accumulations Sparse spatial coverage (< 150 in region) Radar Data: Currently in Panama only Hourly temporal resolution of rainfall accumulations Spatial resolution of rainfall estimates: 4 km PRECIPITATION INPUTSlide29: Definition of Catchment Units Spatial scale of 100 – 300 km2 GIS-delineation processing GTOPO DEM (1-km resolution) Evaluation of stream delineation using DCW Data (1:1,000,000-Scale) and local resources CURRENT STATUS OF TECHNICAL SYSTEMSlide30: Satellite image and data files for 2002 - current Decoding and geo-referencing data files CURRENT STATUS OF TECHNICAL SYSTEMSlide31: ADDITIONAL GIS RESOURCES Digitized Catchment Boundaries Digitized Stream Locations Soils Maps and Information Land Use Maps Land Cover/Vegetation Maps Flood Inundation Maps Population DataSlide32: Regional Center SYSTEM PRODUCTS DISSEMINATION National Met/Hyd Services Emergency Response Via Internet/FTP Existing service range from modem to ISDN, and 56k to 512k (soon) Products: text files, images, GIS databases FFG, MAP and soil moisture 1-, 3-, 6-, and 12-hour accumulations 100-300km2 basinsSlide33: INtegrated FOrecasting and Reservoir Management (INFORM) Assess benefits of the use of climate information and forecasts in operational reservoir management and planning Builds on results for Folsom Reservoir in California Involves downscaling of GCM information, ensemble hydrologic forecasting and reservoir modeling Sponsored by NOAA Office of Global Program, California Energy Commission and NWS GOAL: Slide34: Use of Climate InformationSlide35: Management Benefits Shown for Folsom Reservoir, CA SPILLAGESlide36: INFORM DEMONSTRATION SITES Trinity Dam on Trinity River Major Reservoirs in Northern California Shasta Dam on Pit River Lake Oroville on Feather River Folsom Lake on American RiverSlide37: GIS in INFORM watershed definition elevation zones soils characteristicsSlide38: Outline of Laboratory Session “Hands-on” Demonstration of PANMAP processing Presentation of Recent Applications PANMAP – rainfall estimation and forecasting for the Panama Canal watershed HRCDHM – distributed hydrologic modeling for streamflow forecasting CAFFG – flash flood guidance for Central America INFORM – use of climate information in reservoir managementSlide39: PANMAP DEMONSTRATION UNIDATA SUMMER WORKSHOP Expanding Horizons: Unsing Environmental Data for Education, Research and Decision Making 23-27 June 2003 You do not have the permission to view this presentation. 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carpenterlab Heather Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 60 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 25, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript UNIDATA SUMMER WORKSHOPExpanding Horizons: Unsing Environmental Data for Education, Research and Decision Making23-27 June 2003: UNIDATA SUMMER WORKSHOP Expanding Horizons: Unsing Environmental Data for Education, Research and Decision Making 23-27 June 2003 RECENT HYDROLOGIC APPLICATIONS USING REMOTELY SENSED AND ENVIRONMENTAL DATA AND GEOGRAPHIC INFORMATION SYSTEMS Theresa M. Carpenter, P.E. Hydrologic Research Center http://www.hrc-lab.orgTechnology Transfer at the Hydrologic Research Center: Technology Transfer at the Hydrologic Research Center Advancing the science and engineering of hydrology and water resources.Slide3: Outline of Laboratory Session “Hands-on” Demonstration of PANMAP processing Presentation of Recent Applications PANMAP – rainfall estimation and forecasting for the Panama Canal watershed HRCDHM – distributed hydrologic modeling for streamflow forecasting CAFFG – flash flood guidance for Central America INFORM – use of climate information in reservoir managementSlide4: Introduction to PANMAP GOAL: To design and implement a forecasting system for real-time rainfall forecasting over the Panama Canal Watershed Development began in 1997, implemented in Oct 998 Under operational use at the Panama Canal Authority Produces hourly precipitation estimates and forecasts for subcatchments of 150-400km2 with a maximum forecast lead time of 12 hours. Slide5: Need for Forecasting Operation of the Panama Canal 13,000 – 14,000 vessels traverse the Panama Canal each year System of locks raise ships from sea level to level of Lake Gatun (26 m above sea level) between Pacific and Atlantic Oceans Objectives of forecasting is to maintain level of Lake GatunSlide6: Panama Rain Storm Slide7: Panama Canal Watershed 3200km2 of mountainous terrain Divided into 11 subcatchments ranging in size from 150-400 km2 Subcatchment 11 is Lake GatunSlide8: PANMAP Data Sources Radar – 10cm weather radar located in Panama City ALERT gauge – approx. 25 automated hydromet stations located throughout watershed Radiosondes – upper air information from radiosondes launched twice daily ETA model – operational mesoscale prediction produce by NOAA Digital terrain elevation data – used in surface winds analysisSlide9: PANMAP SYSTEMSlide10: PANMAP OutputSlide11: PANMAP OutputSlide12: PANMAP – current status and verification System used operationally since October 1998 at PCA Validation performed for events through December 2001 (Georgakakos and Sperfslage, 2003. Preprints of AMS Annual Meeting 2003, paper J4.10)Slide13: Introduction to HRCDHM Hydrologic Research Center Distributed Hydrologic Model Developed as research tool to explore use of distributed hydrologic model in operational flow forecasting Hydrologic model components for mean areal precipitation computation, runoff-generation and streamflow routing Uses spatially distributed .precipitation input from operational WSR-88D weather radar Allows for spatially distributed parametric input Sponsored by NWS Office of Hydrologic DevelopmentSlide14: Major Components of HRCDHM software 1. Watershed Delineation Based on GIS processing of digital terrain data Provides subcatchment geometric characteristics (A, L, S) used in hydrologic model componentsSlide15: Major Components of HRCDHM software 1. Watershed Delineation Based on GIS processing of digital terrain data 2. Radar Data Processing Ingest of raw (binary) radar files and subbasin MAP computationSlide16: Major Components of HRCDHM software 1. Watershed Delineation Based on GIS processing of digital terrain data 2. Radar Data Processing Ingest of raw (binary) radar files and subbasin MAP computation 3. Hydrologic Modeling Model components based on those used operationally in the U.S.; produces streamflow estimate at outlet of each subcatchmentSlide17: HRCDHM Binary radar files Subcatchment definition subcatchment runoff soil moisture streamflow Subcatchment MAP User-defined aggregation level Radar Processing Hydrologic Modeling Watershed Processing GIS-processed small-scale basins Slide18: HRCDHM InterfaceSlide19: Current Research on Distributed Modeling What is the impact of input uncertainty on flow simulations from distributed model design for operational flow-forecasting? Application basins were NWS-DMIP case study watersheds: Elk River at Tiff City, MO Baron Fork at Eldon, OK Blue River at Blue, OK Illinois River at Watts, OK Illinois River at Tahlequah, OK Examined sensitivity of flow simulations to uncertainty in both radar precipitation input and parametric input through ensemble simulations with HRCDHM Incorporated additional spatial database of soils properties to define distribution of hydrologic model parameters.Slide20: STATSGO Soils DatabaseSlide21: Distribution of Soil Model Parameters Use GIS to determine fraction of each subcatchment covered by different STATSGO map units Compute average and range of soil properties (given in STATSGO database) for each subcatchment for soil zones consistent with hydrologic model Use subcatchment average soil properties to distribute subcatchment soil parameters & range to define uncertainty boundsSlide22: Sensitivity Analysis OutputSlide23: Central America Flash Flood Guidance GOAL: To design and implement a prototype system for computing flash flood guidance and identify regions where precipitation exceeds guidance values in real time. Project began “in earnest” in late 2002; scheduled delivery: Fall 2003. Spatial Resolution of 100 – 300 km2. Real-time precipitation from satellite estimates in conjunction with automated gauges (DCP).Slide24: FROM FLASH FLOOD GUIDANCE TO FLOOD WARNINGSSlide25: Application Region Nicaragua Belize Honduras Costa Rica Guatamala El Salvador Panama 7 Countries in Central America #1 Challenge = Communication! National Meteorologic Service National Hydrologic Services Various Response Agencies Regional Hydrology Center Hydro-electric UtilitiesSlide26: Training and Cooperation Activities with Users Technical System for Flash Flood Guidance Generation Links to Remotely Sensed and On Site Data System Products Dissemination INITIATIVE COMPONENTSSlide28: Satellite Data (NESDIS-NOAA): Based on GOES-12 10.7 micron channel (InfraRed) Spatial resolution of rainfall estimates: 4 km Duration of rainfall estimates: 1, 3, 6, 12, and 24-hour accumulations, updated hourly Raingauge Data: Automated (DCP) continuous recording raingauges Hourly temporal resolution of rainfall accumulations Sparse spatial coverage (< 150 in region) Radar Data: Currently in Panama only Hourly temporal resolution of rainfall accumulations Spatial resolution of rainfall estimates: 4 km PRECIPITATION INPUTSlide29: Definition of Catchment Units Spatial scale of 100 – 300 km2 GIS-delineation processing GTOPO DEM (1-km resolution) Evaluation of stream delineation using DCW Data (1:1,000,000-Scale) and local resources CURRENT STATUS OF TECHNICAL SYSTEMSlide30: Satellite image and data files for 2002 - current Decoding and geo-referencing data files CURRENT STATUS OF TECHNICAL SYSTEMSlide31: ADDITIONAL GIS RESOURCES Digitized Catchment Boundaries Digitized Stream Locations Soils Maps and Information Land Use Maps Land Cover/Vegetation Maps Flood Inundation Maps Population DataSlide32: Regional Center SYSTEM PRODUCTS DISSEMINATION National Met/Hyd Services Emergency Response Via Internet/FTP Existing service range from modem to ISDN, and 56k to 512k (soon) Products: text files, images, GIS databases FFG, MAP and soil moisture 1-, 3-, 6-, and 12-hour accumulations 100-300km2 basinsSlide33: INtegrated FOrecasting and Reservoir Management (INFORM) Assess benefits of the use of climate information and forecasts in operational reservoir management and planning Builds on results for Folsom Reservoir in California Involves downscaling of GCM information, ensemble hydrologic forecasting and reservoir modeling Sponsored by NOAA Office of Global Program, California Energy Commission and NWS GOAL: Slide34: Use of Climate InformationSlide35: Management Benefits Shown for Folsom Reservoir, CA SPILLAGESlide36: INFORM DEMONSTRATION SITES Trinity Dam on Trinity River Major Reservoirs in Northern California Shasta Dam on Pit River Lake Oroville on Feather River Folsom Lake on American RiverSlide37: GIS in INFORM watershed definition elevation zones soils characteristicsSlide38: Outline of Laboratory Session “Hands-on” Demonstration of PANMAP processing Presentation of Recent Applications PANMAP – rainfall estimation and forecasting for the Panama Canal watershed HRCDHM – distributed hydrologic modeling for streamflow forecasting CAFFG – flash flood guidance for Central America INFORM – use of climate information in reservoir managementSlide39: PANMAP DEMONSTRATION UNIDATA SUMMER WORKSHOP Expanding Horizons: Unsing Environmental Data for Education, Research and Decision Making 23-27 June 2003