27 Jul 2011IGARSS 2011 - session WE2.T10 1 Benefits of satellite altimetry for transboundary basins S. Biancamaria 1,2, F. Hossain 3, D. P. Lettenmaier.

Slides:

Advertisements

Similar presentations

Surface Water and Ocean Topography (SWOT) Satellite Mission

Advertisements

How will SWOT observations inform hydrology models?

Land-use and Land-cover Change Issues Related to Dams Stephanie Bohlman and Michael W. Binford Department of Geography University of Florida Image source:

Present-Day Sea Level Change Present-Day Sea Level Change Assessment and Key Uncertainties Anny Cazenave Anny Cazenave LEGOS, Toulouse.

Datasets Forcing: Daily Precipitation, Tmax, Tmin, and Wind Speed Data source: 158 meteorological gauge stations; Data length : — Vegetation:

4 th International Symposium on Flood Defence, 6 th – 8 th May 2008, Toronto, Canada Efficiency of distributed flood mitigation measures at watershed scale.

The SWOT Satellite Mission Concept Surface Water and Ocean Topography This poster describes the surface water portion of the joint concept: “Where is water.

Surface Water and Ocean Topography Mission (SWOT)

Multi-Satellite Remote Sensing of Global Inundated Surfaces over a Decade PAPA Fabrice(1), PRIGENT Catherine(2), AIRES Filipe(3), ROSSOW William(1) (1)

Height error “scaling” factor Temporal Decorrelation and Topographic Layover Impact on Ka-band Swath Altimetry for Surface Water Hydrology Delwyn Moller,

How accurately will SWOT measurements be able to characterize river discharge? Michael Durand, Doug Alsdorf, Paul Bates, Ernesto Rodríguez, Kostas Andreadis,

Kostas Andreadis1, Dennis Lettenmaier1, and Doug Alsdorf2

Tennessee Technological University Tennessee Tech UNIVERSITY Understanding Surface Water Flow and Storage Changes using Satellites: Emerging Opportunities.

Paul Bates SWOT and hydrodynamic modelling. 2 Flooding as a global problem According to UNESCO in 2004 floods caused ….. –~7k deaths –affected ~116M people.

Principles of Sea Level Measurement Long-term tide gauge records  What is a tide station?  How is sea level measured relative to the land?  What types.

Some thoughts on SWOT water resources applications Dennis P. Lettenmaier Department of Civil and Environmental Engineering University of Washington WaTER/SWOT.

The SWOT Satellite Mission Concept Surface Water and Ocean Topography This poster describes the surface water portion of the joint concept: “Where is water.

Global Water Issues

Global Monitoring of Large Reservoir Storage from Satellite Remote Sensing Huilin Gao 1, Dennis P. Lettenmaier 1, Charon Birkett 2 1 Dept. of Civil and.

Transboundary supply issues

Eduardo Mondlane UniversityInstitute for Water Resource, Rhodes University PhD Proposal-Progress Agostinho Vilanculos Supervisors: - Prof. Denis Hughes.

Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen and Y. Cheng (DTU, Denmark) Xiaoli Deng,

For the lack of ground data the verification of the TRMM performance could not be checked for the entire catchments, however it has been tested over Bangladesh.

Coastal Altimetry Workshop - February 5-7, 2008 CNES initiative for altimeter processing in coastal zone : PISTACH Juliette Lambin – Alix Lombard Nicolas.

SWOT spatio-temporal errors from in-situ measurements S. Biancamaria (1), N. Mognard (1), Y. Oudin (1), M. Durand (2), E. Rodriguez (3), E. Clark (4),

Prospects for river discharge and depth estimation through assimilation of swath–altimetry into a raster-based hydraulics model Kostas Andreadis 1, Elizabeth.

Title Slide HISTORICAL BACKGROUND of COLUMBIA RIVER TREATY HISTORICAL BACKGROUND of COLUMBIA RIVER TREATY.

Multi-Satellite Remote Sensing of Global Surface Water Extent and Volume Change. Fabrice PAPA (1), Catherine PRIGENT (2), William B. ROSSOW (1), Elaine.

1 Assessment of Geoid Models off Western Australia Using In-Situ Measurements X. Deng School of Engineering, The University of Newcastle, Australia R.

Retrieving High Precision River Stage and Slope from Space E. Rodriguez, D. Moller Jet Propulsion Laboratory California Institute of Technology.

Estimating continental hydrology parameters from existing space missions: the need for a dedicated surface water mission N. M. Mognard(1), A. Cazenave(1),

1-1 SWOT IGARSS July 27, 2011 INTERFEROMETRIC PROCESSING OF FRESH WATER BODIES FOR SWOT Ernesto Rodríguez, JPL/CalTech Delwyn Moller, Remote Sensing Solution.

DAM BREAK RISK IN COLOMBIA A Geospatial Assessment of Population Vulnerability from Flood Inundation Eugene Derner, GEOG 594a Spring 2014.

How will storage change and discharge be estimated from SWOT? Michael Durand, Doug Alsdorf, Ernesto Rodríguez, Kostas Andreadis, Elizabeth Clark, Dennis.

S. Munier, A. Polebitski, C. Brown, G. Belaud, D.P. Lettenmaier.

Application of satellite nadir altimetry for forecasting river flow in transboundary rivers S. Biancamaria 1 F. Hossain.

Tennessee Technological University Faisal Hossain Tennessee Tech UNIVERSITY Potential Role of SWOT for International Issues of Surface Water Monitoring.

Integration Tide Gauge and Satellite Altimetry for Storm Surge and Sea Level change prediction. Ole B. Andersen,Y. Cheng (DTU, Denmark) X. Deng, M. Steward,

SWOT spatio-temporal errors from in-situ measurements S. Biancamaria (1), N. Mognard (1), Y. Oudin (1), M. Durand (2), E. Rodriguez (3), E. Clark (4),

Chaiwat Ekkawatpanit, Weerayuth Pratoomchai Department of Civil Engineering King Mongkut’s University of Technology Thonburi, Bangkok, Thailand Naota Hanasaki.

Hydropeaking and minimum flow : the French approach. P. Baran CIS ECOSTAT - HYDROMORPHOLGY WORKSHOP 12th and 13th June Brussels Pôle Ecohydraulique.

Joint OS & SWH meeting in support of Wide-Swath Altimetry Measurements Washington D.C. – October 30th, 2006 Baptiste MOURRE ICM – Barcelona (Spain) Pierre.

Water Resources in the Indus-Gangetic Basin

Design of meteorological data networks Dr. Anil Kumar Lohani National Institute of Hydrology, Roorkee India Hydro-Met Network Design Workshop, April 6-11,

SWOT: A HIGH-RESOLUTION WIDE-SWATH ALTIMETRY MISSION

Upstream Satellite-derived Flow Signals for River Discharge Prediction

Nathalie Voisin 1, Florian Pappenberger 2, Dennis Lettenmaier 1, Roberto Buizza 2, and John Schaake 3 1 University of Washington 2 ECMWF 3 National Weather.

Surface Water Virtual Mission Dennis P. Lettenmaier, Kostas Andreadis, and Doug Alsdorf Department of Civil and Environmental Engineering University of.

Prospects for river discharge estimation through assimilation of remotely sensed altimetry: The WatER satellite mission Kostas Andreadis UW Land Surface.

Title Slide HISTORICAL BACKGROUND of COLUMBIA RIVER TREATY HISTORICAL BACKGROUND of COLUMBIA RIVER TREATY.

Potential for estimation of river discharge through assimilation of wide swath satellite altimetry into a river hydrodynamics model Kostas Andreadis 1,

Global rivers that will be observed by SWOT and their characteristics K. Andreadis 1, L. Clark 1, M. Durand 2, S. Biancamaria 4, E. Rodriguez 3, D. Lettenmaier.

Incorporating the effects of anthropogenic manipulation of the water cycle in macroscale hydrologic modeling Dennis P. Lettenmaier Department of Civil.

Introduction We have used running water as an energy source for thousands of years, mainly to grind corn.The first house in the world to be lit by hydroelectricity.

Flood propagation Simulation of the IMPACT case study on the Tous dam-break flow Université catholique de Louvain Sandra Soares Frazão and Yves Zech.

PremesseObiettivi Telerilevamento e sensori Aree allagate da SAR Portata da MODIS Portata da altimetro Portata da MODIS + altimetro Conclusioni  non.

 It is not representative of the whole water flow  High costs of installation and maintenance  It is not uniformly distributed in the world  Inaccessibility.

Hydroelectric energy. What is it? Hydroelectric energy is generated by the flow of water and like most other renewable energy sources, it is actually.

Development of Flood Forecasting for the Ganges and the Brahmaputra Basins using satellite based precipitation, ensemble weather forecasts, and remotely-sensed.

(2) Norut, Tromsø, Norway Improved measurement of sea surface velocity from synthetic aperture radar Morten Wergeland Hansen.

Some thoughts on SWOT water resources applications

Change in Flood Risk across Canada under Changing Climate

Websites and screen shots of data products

Evaluating the long-term future of fine sediment in Lake Powell

Hydrological Information System

1Civil and Environmental Engineering, University of Washington

Assimilation of Remotely-Sensed Surface Water Observations into a Raster-based Hydraulics Model Elizabeth Clark1, Paul Bates2, Matthew Wilson3, Delwyn.

Surface Water Virtual Mission

Adebanji oluwalani (NIGERIA) NONKI Rodric Merimé (cameroon)

Presentation transcript:

27 Jul 2011IGARSS session WE2.T10 1 Benefits of satellite altimetry for transboundary basins S. Biancamaria 1,2, F. Hossain 3, D. P. Lettenmaier 4, N. Pourthié 2 and C. Lion 1,2 1 LEGOS, Toulouse, France 2 CNES, Toulouse, France 3 CEE, Tennessee Tech University, Cookeville, TN, USA 4 CEE, University of Washington, Seattle, WA, USA

Transboundary basins 256 river basins are shared among 2 or more countries (Wolf et al., 1999) = 45% land surfaces 27 Jul 2011IGARSS session WE2.T10 2

Outline 27 Jul 2011IGARSS session WE2.T Forecasting Brahmaputra/Ganges water elevations using satellite altimetry 2.Monitoring Indus reservoirs with SWOT

Brahmaputra and Ganges basins Brahmaputra: drainage area=574,000km 2 ; population=30 Millions; unmanaged. Ganges: drainage area=1,065,000km 2 ; population=500 Millions; 34 dams/diversions. 27 Jul 2011IGARSS session WE2.T10 4 Bangladesh

Issue 90% of water flowing in Bangladesh comes from India. No India/Bangladesh real time data sharing. Using in-situ measurements at its border -> forecast in Bangladesh only with 2 or 3 days lead time. Study purpose: Use satellite-based water elevation upstream in India to forecast water elevation at the gauge locations (India/Bangladesh border). 27 Jul 2011IGARSS session WE2.T10 5

Data used: in-situ measurements 27 Jul 2011IGARSS session WE2.T10 6

Data used: satellite altimetry Topex/Poseidon (T/P) satellite altimeter. Overlap with in-situ: January 2000/August Data downloaded from HYDROWEB: Jul 2011IGARSS session WE2.T _1 166_1 014_1 116_2 T/P Virtual station Distance from gage Mean time between obs. 242_1550 km14 days 166_1250 km16 days Mean time between obs. Distance from gage T/P Virtual station 12 days1560 km116_2 22 days530 km014_1

Methodology 1/2 Compute the cross-correlation between upstream T/P and in-situ measurements: 27 Jul 2011IGARSS session WE2.T10 8 Water level Correlation TimeLead time with k=lead time k 0.8 k Upstream: h alti (t) Downstream; h insitu (t)

Methodology 2/2 Compute scatter plot in-situ measurements & T/P measurements k days earlier. Use linear fit to forecast water level at gauge location from T/P measurements. 27 Jul 2011IGARSS session WE2.T10 9 h in-situ (t) 0 h alti (t-k) Linear fit of h insitu (t)=f[h alti (t-k)] Water level 0 Time h insitu (downstream) k day lead time forecast

Results on the Brahmaputra 5-day lead time Forecasts: 27 Jul 2011IGARSS session WE2.T10 10 T/P virtual station 250 km upstream:T/P virtual station 550 km upstream: 5-day forecast RMSE ~ 0.5 m Brahmaputra water elevation Water elevation (m) Brahmaputra water elevation Water elevation (m) In-situ T/P forecast Legend:

Results on the Ganges 27 Jul 2011IGARSS session WE2.T day lead time forecast: T/P virtual station 530 km upstream: 5-day forecast RMSE ~ 0.6 m Ganges water elevation Water elevation (m) 10-day forecast RMSE ~ 0.9 m Ganges water elevation Water elevation (m) T/P virtual station 1560 km upstream: 5-day lead time forecast: In-situ T/P forecast Legend:

SWOT and the Brahmaputra/Ganges 27 Jul 2011IGARSS session WE2.T10 12 SWOT = Water mask + water elevation (and river slope) with 2 or more observations per 22 days

Expected benefits from SWOT Higher precision on measurements -> better forecasts. More observations on the basin -> better time sampling. Water extent will improve inundation forecast: 27 Jul 2011IGARSS session WE2.T10 13 Brahmaputra water elevation Water elevation (m) Brahmaputra water elevation Discharge (10 4 m 3.S -1 )

Conclusion for Brahmaputra/Ganges Forecasting water elevation from nadir altimeters with lead time between 5 day and 10 day. Expected improvement from SWOT due to water elev. + extent, better accuracy, global observation. Fore more details: Biancamaria et al., GRL, 38, L11401, “Forecasting transboundary river water elevations from space” (June 2011). 27 Jul 2011IGARSS session WE2.T10 14

Outline 27 Jul 2011IGARSS session WE2.T Forecasting Brahmaputra/Ganges water elevations using satellite altimetry 2.Monitoring Indus reservoirs with SWOT

SWOT and world lakes/reservoirs 27 Jul 2011IGARSS session WE2.T SWOT visits per repeat cycle Surface area seen (10 6 km 2 )

Indus reservoirs 27 Jul 2011IGARSS session WE2.T10 17 Indus basin=1.14x10 6 km 2, 53% to Pakistan, 34% to India filling of Baglihar reservoir by India construction of Kishenganga dam. -> Lack of information = difficulties in downstream water management

SWOT and Indus reservoirs 27 Jul 2011IGARSS session WE2.T10 18 Reservoirs are seen between 2 to 3 times per 22 days

Baglihar dam 27 Jul 2011IGARSS session WE2.T10 19 Baglihar dam: 450 MW Run-of-river type – Pondage volume = 37.5 x 10 6 m 3 – Full pondage level – dead storage level = 5 m -> Pondage area > 1 km 2 5 m 37.5x10 6 m 3 SWOT requirements on lakes and reservoirs = 10 cm error on 1 km 2 area. -> SWOT should be able to observe Baglihar dam

Baglihar dam 27 Jul 2011IGARSS session WE2.T10 20 Reservoir in mountainous region = SWOT might be affected by layover. Layover=geometric distortion when radar beam reaches top of a tall feature before it reaches the base. Layover modeled by SARVisor for ALOS/PalSAR, 7° incidence angle (yellow=layover): Baglihar Ascending track:Descending track:

Kishenganga project 330 MW hydro-power plant. Layover modeled by SARVisor for ALOS/PalSAR, 7° incidence angle (yellow=layover): 27 Jul 2011IGARSS session WE2.T10 21 Kishenganga Ascending track:Descending track: Kishenganga

Conclusion for Indus reservoirs 27 Jul 2011IGARSS session WE2.T10 22 Hydro-electric reservoirs are needed to respond to the growing demand on electricity. Water management for downstream country is more difficult. Huge potential of SWOT to provide reservoir water volume changes Ongoing study to characterize layover on SWOT data and better quantifying SWOT accuracy and time sampling.

Thank you for your attention 27 Jul 2011IGARSS session WE2.T10 23