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CEOP-AEGIS. C oordinated Asia- E uropean long-term O bserving system of Qinghai–Tibet P lateau hydro-meteorological processes and the A sian-monsoon syst E m with G round satellite I mage data and numerical S imulations www.ceop-aegis.org.

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ceop aegis

CEOP-AEGIS

Coordinated Asia-European long-term Observing system of Qinghai–Tibet 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 l’Image, de l’Informatique et de la Télédétection - LSIIT, Universitè Louis Pasteur

Illkirch, France

1st Progress Meeting - Milano June 29, July 2 2009

ceop aegis objectives
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.

1st Progress Meeting - Milano June 29, July 2 2009

ceop aegis participants
CEOP – AEGIS Participants

1st Progress Meeting - Milano June 29, July 2 2009

interrelation of project technical elements
Interrelation of project technical elements

1st Progress Meeting - Milano June 29, July 2 2009

slide5

CA1: Ground based observations of fluxes

Left: Nam Co site Right: Everest site

1st Progress Meeting - Milano June 29, July 2 2009

slide6

Eddy covariance, scintillometers and footprints

Transmitter

Footprint

Flux tower

Receiver

Land use map

Monthly variation of LAS

flux contribution area

(8:00am -17:00pm Jan – Dec, 2007)

1st Progress Meeting - Milano June 29, July 2 2009

slide7

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

1st Progress Meeting - Milano June 29, July 2 2009

slide8

CA2: Optical observation of the land surface

1st Progress Meeting - Milano June 29, July 2 2009

slide9

Approach

1st Progress Meeting - Milano June 29, July 2 2009

slide10

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)

1st Progress Meeting - Milano June 29, July 2 2009

slide11

Limiting cases and additional constraints on SEB

Evaporation controlled vs. radiation controlled T0=T0(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

1st Progress Meeting - Milano June 29, July 2 2009

slide12

Web form

MSSEBS 2

n-D NWPM fields

Job

spooler

Image files

Project file

DEM

XML

parser

Core

GDAL

Data repository

Log file

GEOSS provider

MSSEBS 2 Framework

Multiple SEB algorithms

1st Progress Meeting - Milano June 29, July 2 2009

slide13

CA4: Satellite based estimates of top soil moisture

Different retrieval approaches

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

1st Progress Meeting - Milano June 29, July 2 2009

slide14

METOP-A

ASCAT

Soil moisture results

ASCAT data

sigma zero triplet for values

sigma zero triplet mid values

Soil moisture (m3/m3 )

sigma zero triplet after values

1st Progress Meeting - Milano June 29, July 2 2009

14

slide15

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

1st Progress Meeting - Milano June 29, July 2 2009

slide16

4 radar data mosaic

1st Progress Meeting - Milano June 29, July 2 2009

slide17

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

1st Progress Meeting - Milano June 29, July 2 2009

slide18

Calibrated radiance

YES

NDSI>=Threshold

NO

Cloud, water, snow in forest

Snow, cloud, water

Water mask

YES

Water

YES

Water mask

Water

Snow map

NO

Cloud products

YES

YES

Cloud products

Cloud

Cloud

NO

NO

DEM

Snow

Snow in forest

Forest maps & NDVI Threshold

YES

Snow

A snow cover extent prototype algorithm

1st Progress Meeting - Milano June 29, July 2 2009

slide19

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

1st Progress Meeting - Milano June 29, July 2 2009

slide20

Observation of convective events

Blue: Averaged convective index, black circle: occurrence of MCS

1st Progress Meeting - Milano June 29, July 2 2009

slide21

CA8: Water Balance and Water Yield

of the Tibetan Plateau

1st Progress Meeting - Milano June 29, July 2 2009

slide22

Selection of Water Balance Model

1st Progress Meeting - Milano June 29, July 2 2009

slide23

Long-term changes of meteorological factors (1966-2003)

1st Progress Meeting - Milano June 29, July 2 2009

slide24

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

1st Progress Meeting - Milano June 29, July 2 2009

lst vs ndvi correlation

-90 -75 -60 -45 -30 -15 0 15 30 45 60 75 90º

LST vs NDVI correlation

IHS of LST vs. NDVI correlation

Colors indicate θ values;

Intensity codes d values, characterizing NDVI-LST annual cycle;

Saturation codes R2 values;

1st Progress Meeting - Milano June 29, July 2 2009

slide26

Drought monitoring and Early Warning by detecting anomalies

Anomaly: Deviation of current state from historical average

Sichuan-Chongqing drought, 2006

1st Progress Meeting - Milano June 29, July 2 2009

slide27

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

1st Progress Meeting - Milano June 29, July 2 2009

slide28

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

1st Progress Meeting - Milano June 29, July 2 2009

slide29

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.

1st Progress Meeting - Milano June 29, July 2 2009

slide30

Hydrologic data

Remote Sensing image

DEM

Remote Sensing image

Socio-Economic data

Hydro-dynamic model (HEC-RAS)

Population

Land use

Floodarea

Flood depth

Economic Value map

Population density map

Flood frequency

Assessment method

Hazard factors data

Vulnerability factors data

Flood risk assessment and impact evaluation model

Finished

Flood impact analysis

Flood risk analysis

Partly-Finished

Unfinished

Flood risk and impact maps

China

1st Progress Meeting - Milano June 29, July 2 2009

slide31

Thank you!

1st Progress Meeting - Milano June 29, July 2 2009