This document provides information on the CEOP-AEGIS contribution to the GEOSS Data CORE. It discusses how CEOP-AEGIS will integrate hydrometeorological data from large transnational river basins, such as the Qinghai-Tibet Plateau and major rivers in Southeast Asia. The document outlines how CEOP-AEGIS will make this data freely available through its portal and contribute to the GEOSS water theme by providing documents, datasets, and services related to topics like drought monitoring, flood forecasting, and water balance modeling.

1. Session 2 C Water, Disasters, Energy
CEOP – AEGIS contribution to GEOSS Data CORE
Massimo Menenti
Delft University of Technology
Jerome Colin
Université de Strasbourg
GEO European Project Workshop ‐ London February 8 ‐ 9 1

2. Practical contributon to the GEOSS Data-CORE
Hydrometeorological data on large transnational river
basins:
the case of the Qinghai – Tibet Plateau, the major rivers of SE
Asia
need to bring together data generated by on-going
international initiatives:
CEOP – AEGIS
Third Pole Environment
JICA – Tibet
PAPRIKA (IT, F)
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3. GEOSS Data-CORE:
global vs. regional data
• Terrestrial water cycle
• Data need to be integrated by watershed
• Information is actionable
• real‐time/near real‐time monitoring capabilities via GEOSS
for key variables of interest to the IPCC – and IPCC
stakeholders
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4. CEOP‐AEGIS contribution to GEOSSS
Water theme
• ceop‐aegis.org portal:
– General information
– IT platform for the consortium
– Information system on the hydrology of the
Tibetan Plateau for the community
• Schedule:
• Until May 2012: no public access to foreground
• After May 2012: all project foreground freely
Registered
available to the community in GEOSS
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5. Qinghai‐Tibet hot‐spot
• Hot spot:
– Higher spatial and/or temporal frequency than global
products
– Larger panel of dedicated products
• CEOP‐AEGIS:
– Area covered 4,292,130 km2
– 1x1 km grids for EO products
– 5x5 km grids for Hydrological Model outputs
– 30x30 km grids for Atmospheric Model outputs
– In‐Situ data network
– Daily to weekly, since 2008
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6. Water Balance Model domain
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7. CEOP-AEGIS Database
• Principles
Project partners
– all project products in
one single entry point
– web‐based user‐friendly GIS Service
interface
– registered as a Data Server (openDAP)
contribution to GEOSS CEOP‐AEGIS Web Portal
– open access to the
scientific community
GEOSS
Portal
Scientific community
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8. CEOP‐AEGIS contribution to GEOSSS
Water theme: product types
• Documents:
– Periodic reports, Algorithm Theoretical Basis
Documents,
• Datasets:
– Ground measurements, final EO products,
Hydrological Model outputs
• Services & software:
– Drought and flood early warning tools
– Water & Energy Budget Models
– Training material for stakeholders
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9. Product types: documents, datasets,
services & softwares
D0.1.1 Science Progress Report 2009 D4.3 Estimation of soil moisture from Geostationary Satellite (GS) data
D0.1.2 Science Progress Report 2010 D4.4 A data product of the plateau using different sensors simultaneously
D4.5 Validation results and documentation of uncertainties
D0.1.3 Science Progress Report 2011
D5.1 Provide algorithm for QPE, 3D mosaic and hydrometeors classification
D0.1.4 Science Progress Report 2012 D5.2 Provide rainfall estimation algorithms from satellites (MW, VIS-IR) data
D0.2.1 Technical Reports by Working Groups 2009 D5.3 Provide 3-years 3-D gridded radar data for case studies
D0.2.2 Technical Reports by Working Groups 2010 Provide high space and temporal resolution precipitation data retrieved from radar,
D0.2.3 Technical Reports by Working Groups 2011 D5.4 satellite (both VIS-IR and MW) and ground rain gauge data for case studies
D6.1 Sample data set and Report on retrieval performance based on MODIS and AMSR-E data
D0.2.4 Technical Reports by Working Groups 2012
D6.2 Preliminary Algorithm Theoretical Basis Documents for snow/ice properties
D0.5.1 Final report Final Algorithm Theoretical Basis Document;+Snow data assimilation system and
D1.1 Detailed approach and preliminary data analysis protocol D6.3 documentation
Analysis protocol report and sample data sets on seasonal and inter- Validated data set (include snow cover area, SWE, glacier area and storage from satellite
annual time scale of the exchange of surface heat flux, momentum flux, D6.4 data, and assimilation data sets) from 2008 to 2010
water vapour flux, surface and soil moisture over the different land Final report for water resources contributed by the snow and glacier melt on Qinghai-
D1.2 D6.5 Tibet Plateau
surfaces of the Tibetan Plateau
Report and data set on results of numerical experiments to document the response to
Report on footprint analysis and structure characteristics of the Surface D7.1 observed evolution of snow and vegetation cover and surface heat fluxes over the Plateau
D1.3 Layer (SL) and Atmospheric Boundary Layer D7.2 Report on rainfall forecast performance
Final 3 years dataset on aerodynamic and thermodynamic variables D8.1 Design of data processing protocol for E.O. based water balance products
D1.4 over the different land surfaces of the Tibetan Plateau D8.2 Time series analysis of water balance data
D2.1 Generic algorithms LSV-s Prototype of data collection, integration and processing system to monitor the Plateau
D8.3 water balance
D2.2 Algorithms land surface temperature PS D8.4 Database management system
Algorithms surface albedo, emissivity and temperature geostationary D9.1 Vegetation dynamic maps over a long-term period
D2.3 satellite D9.2 Maps of drought vulnerability zones in the study area
D2.4 Algorithm Theoretical Basis Documents multi-source remote sensing D9.3 Tools for time series analysis of vegetation response to drought
Data set vegetation cover, surface albedo, LAI, aerosol optical depth, D9.4 Tools for drought prediction by analyzing vegetation response
precipitable water vapour, soil/foliage component and land surface D9.5 Anomalies maps of rainfall, vegetation response
D2.5 emissivity/temperatures for a 3 years period. D9.6 Tool for evaluating drought impact on agriculture and forestry
System applicable for drought monitoring and early warning in the pilot areas in China
Review of selected existing algorithms and models on local, regional
D9.7 and India
D3.1 and Plateau scales data sets
Algorithm Theoretical Basis Document for surface wetness indicator retrieved from
Generalize SEB calculation at a high spatial resolution and on a regional D10.1 passive and active microwave satellite data
D3.2 extent Real time flood forecast models based on stochastic time series, ANN and Fuzzy logic for
D3.3 Time-series Maps Processing and Validation Procedure Document D10.2 the study area
Validated complete time-series maps of fluxes over 3 years, with a Flood inundation, flood hazard and flood risk zone maps based on the hydraulic modelling
D3.4 target frequency of one week D10.3 and analysis of satellite data
Real time forecasting of flood inundation, depth, areal extent and return period of
Collection of consistent continuous in-situ soil moisture measurements D10.4 flooding
D4.1 at regional scale D10.5 Case studies on flood events in the period 1999-2010
Development of a satellite sensor independent system for the soil
D4.2 moisture combined retrieval algorithms
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10. Open and Standard Design
• Advanced data and meta‐data models
– netCDF3, netCDF4/HDF5
• Meta‐data follow international standards
– CF 1.4 meta‐data semantics
– XML and NCML online documentation
• Open Source technologies for data exchanges
– OPeNDAP protocol
– Open source, java based, friendly user interface
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14. Large fluctuations of regional and local
water cycles
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