Operational evapotranspiration estimations for hydrological applications using MSG and Envisat data

Researchers:

Ben Maathuis link to Ben maathuis

 

Wim Timmermans link to Wim Timmermans

 

Ambro Gieske link to Ambro Gieske

 

 

Organisations:

Department of Water Resources, ITC

 

IVM-Free University

 

FAO

 

 

Funding:

GO, ITC IRF

 

 

Period:

2005 – 2008

Background and objectives

The general goal of the EVAPO-MSG project is to set-up operational tools to support the observation and monitoring of climate change effects on the water balance of semi-arid areas using a combination of remote sensing estimations and a hydrological model. In order to operationalise and demonstrate the combination of remote sensing and hydrological model the following objectives are defined:

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To establish operational MSG-receiving stations at three locations (VU/IVM, ITC and FAO-Artemis), to exchange experience and to collaborate in finding solutions for data storage and processing.

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To adapt the codes of the published evapotranspiration models DEMI-SEC (Peters) and ESTA (Timmermans et al) for use with MSG. The rationale for using two independent evapotranspiration models is the possibility to cross check results for debugging purposes without having to do a full validation (which should be done, but in a follow up validation project).

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Since there is no standard atmospheric correction for MSG visible and NIR observations, higher resolution standard products from other satellites and existing ground validation stations will be used to verify and tune existing approaches (Peters, 1995) to atmospheric correction of MSG. For this purpose EVAPO-MSG will concentrate on ENVISAT standard products (surface temperature from AATSR, albedo and NDVI from MERIS).

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To do a test run of both evapotranspiration models for a selected period for two selected catchments.

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To demonstrate to the end-user FAO the applicability of the evapotranspiration calculations for hydrological applications by using the ET results in a calibrated and well documented hydrological model (Stream).

The end-result of the EVAPO-MSG project will be a set of operational tools to assess and monitor the hydrological response of vulnerable semi-arid regions to climate change. By means of a case study insight will be gained in the improved performance of published evapotranspiration models after recalibration/adjustment for MSG data. Application of the improved evapotranspiration estimations in a calibrated hydrological model will demonstrate the added value of earth observation products for the study of the hydrological cycle in vulnerable semi-arid areas and their potential for agricultural and food security applications.

Within this project the following activities are envisaged for WRS staff:

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Set-up of receiving dish, software and front-end + back-end computers, test of processing performance etc., protocols for MSG receipt + storage of data, for three operational receiving stations.

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Adjustment/recalibration of DEMI-SEC and ESTA model code to use on MSG data using outputs from studies Peters 1995, Timmermans 2003, existing user requirements (e.g. ACMP project). Implementation of split-window atmospheric correction for TIR bands, albedo estimation upgrade, NDVI implementation etc.

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Verification of MSG albedo, surface temperature etc. using ENVISAT standard products through implementation of radiometric routines, atmospheric routines combined with upscaling of ground-based measurements and upscaling of ENVISAT products.

Work packages

Below, brief descriptions of the work packages (WPs) are given.

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WP2: MSG receiving stations (at ITC, VU/IVM and FAO: only advice (by means of writing a protocol) or full installation – operational system. Role of FAO as they are currently working on installation and training. Discussion on status with Peters of FAO and VU/IVM. Additional remark: for use of ITC developed data retrieval software a disclaimer should be prepared and signed by the project partners, provided that they have an agreement with Eumetsat. When using the software acknowledgement should be given to ITC as well.

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WP3: Appropriate definition of input, activities and output (also applies to WP2 and 4), indicating the type of atmospheric correction method(s) (are these rough empirical or highly advanced transfer functions!). Output as seen by us: import of MSG data, atmospheric corrections (SMAC for the visible and method described by Peters for the thermal, requires additional data like water vapour, ozone, aerosol: who is collecting this? and from which data bases). Use of atmospheric corrected data in ESTA by Timmermans, requires adaptation of his model code. Output ET maps of time series (timing, time interval and area to be determined, e.g. Zambezi catchment, therefore additional atmospheric data needs to be collected from the equator to 25 degree South latitude) and draft description of the approach followed. This description will be further elaborated into a peer reviewed article.

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WP4: Atmospherically and geometrically corrected SEVIRI images, transformed into temperature, albedo and NDVI are compared with Envisat standard products. Procedure for upscaling needs to be addressed. Output of WP3 and WP 4 results in a document describing the procedure(s) and discussion on validation using Envistat standard product(s), apart from the data itself which are needed for the other project partners.