CEOPAEGIS

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CEOP-AEGIS

• Coordinated Asia-European long-term Observing
  system of QinghaiTibet Plateau
  hydro-meteorological processes and the
  Asian-monsoon systEm with Ground satellite Image
  data and numerical Simulations
• www.ceop-aegis.org

Massimo MenentiDepartment of Earth Observation
Systems, Delft University of Technology, The
Netherlands Laboratoire des Sciences de lImage,
de lInformatique et de la Télédétection -
LSIIT, Universitè Louis Pasteur Illkirch, France
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CEOP-AEGIS Objectives

• Construct an observing system to determine and
  monitor the water yield of the Plateau
• Incorporate existing ground measurements and
  current / future satellites
• Requires estimating snowfall, rainfall,
  evapotranspiration and changes in soil moisture
• Monitor the evolution of surface conditions and
  analyze the linkage with convective activity,
  precipitation events and the Asian Monsoon
• Monitor snow, vegetation and surface fluxes as
  precursors of intense precipitation towards
  improving forecasts of (extreme) precipitations
  in SE Asia.

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CEOP AEGIS Participants
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Interrelation of project technical elements
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CA1 Ground based observations of fluxes
Left Nam Co site
Right Everest site
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Eddy covariance, scintillometers and footprints
Monthly variation of LAS flux
contribution area (800am -1700pm Jan Dec,
2007)
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Analysis of data quality of Tibetan energy
balance measurements
Namco site
Data quality and its dependence on land use and
footprint
Metzger et al., Adv. Earth Sci. 21 (2006)
1260-1267
New Everest site
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CA2 Optical observation of the land surface
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Approach
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CA3 Satellite based estimates of energy and
water fluxes

• LE scales with Tsurf IF radiative and convective
  forcing is normalized first
• Additional constraints needed to solve SEB
  parameterizations
• Iterative procedures lead to multiple solutions
• Inversion of detailed models abandoned many years
  ago ? new algorithms easier access to computing
  power ? LUT-s may be worth a second life
• Additional equations by segmenting images and
  assuming some parameters (e.g. ra) constant
  within the segment
• Add experimental constraints by using limiting
  cases (reference system states)
• Dry and wet reference states assumed to exist
  within image (SEBAL, S-SEBI)
• Dry and wet reference states evaluated from
  theory (SEBI ? SEBS ? MSSEBS)

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Limiting cases and additional constraints on SEB
Evaporation controlled vs. radiation controlled
T0T0(r0)
Empirical dry wet references SEBAL, S-SEBI
?Tmax and ?Tmin from full combination
equation SEBI, SEBS
Reference Ta cannot be local applies to an area
much larger than the length-scale of land
heterogeneity MS-SEBS
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MSSEBS 2 Framework
Multiple SEB algorithms
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CA4 Satellite based estimates of top soil
moisture
Different retrieval approaches

• Empirical approaches
• Semi-empirical approaches
• Change detection methods
• Theoretical scattering and emission models

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Soil moisture results ASCAT data
sigma zero triplet for values
sigma zero triplet mid values
Soil moisture (m3/m3 )
sigma zero triplet after values
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CA5 Integrated ground and satellite observations
of precipitations
Refining data processing of ground based rain
radars Improvement of interpolation method and 3D
gridding Analysis of precipitation regimes over
Tibetan Plateau and surrounding areas Evaluation
of disdrometric measurements and algorithms to
retrieve precipitation with VIS-IR
data Development of algorithms for TIR data
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4 radar data mosaic
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CA6 Estimation of glaciers and snow meltwater
Prototyping new algorithm for snow cover
mapping Simulation of snow water equivalent based
on SEB Collection and analysis of observations of
reference glaciers Evaluation of SWE algorithms
and data products
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A snow cover extent prototype algorithm
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CA7 Numerical Weather and Climate Modeling System
Improving parameterization of subgrid
processes Higher spatial resolution of GRAPES 15
km Evaluation of sensitivity to soil initial
conditions Case studies on different land
surface parameterizations Document relevant
convective events over the Tibetan Plateau using
TIR geostationary obs
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Observation of convective events
Blue Averaged convective index, black circle
occurrence of MCS
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CA8 Water Balance and Water Yield of the
Tibetan Plateau
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Selection of Water Balance Model
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Long-term changes of meteorological factors
(1966-2003)
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CA9 Satellite Drought Monitoring System
Algorithms developed to improve screening of
MODIS data Algorithms to monitor drought using
combined LST, VI, fAPAR Review of drought
monitoring systems in China and India Document
major drought events in China and India Analysis
of AVHRR time series of LST and NDVI Ground and
high resolution data for validation of low
resolution drought indicators Improved Land Cover
Land Use maps of several areas
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LST vs NDVI correlation
IHS of LST vs. NDVI correlation Colors indicate
? values Intensity codes d values,
characterizing NDVI-LST annual cycle Saturation
codes R2 values
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Drought monitoring and Early Warning by
detecting anomalies
Anomaly Deviation of current state from
historical average
Sichuan-Chongqing drought, 2006
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Drought monitoring and Early Warning by
detecting anomalies
EVI anomaly
LST anomaly
Tibet Plateau and Sichuan-Chongqing, 2006
9 May
10 June
12 July
13 Aug
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CA10 Satellite Flood Monitoring System of Pilot
Areas
Document flood drought prone areas in China and
India Review flood forecast in India Development
of flood hazard evaluation system
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India

• Flow Data is being collected from Government of
  Bihar for Bgmti river basin.
• Flow Data of key stations of Main Ganga river and
  Brahmputra river would be collected from shortly.
• Precipitation data is being procured from
  Meteorological Department on payment basis for
  flood and drought studies (both).
• All the map are being digitized in ArcGIS, which
  would be input to the model.
• IRS-LISS II and PAN data is being procured and
  landuse map is being prepared using ERDAS 9.3
  (latest version).
• ANN model is being tested for some of the flood
  events.

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China
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Thank you!