WP2 progress CGMS Anhui/Morocco

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WP2 progress CGMS Anhui/Morocco Allard de Wit, Steven Hoek, Riad Balaghi, Tarik el Hairech, Bell Zhang, Jappe Franke, Hugo de Groot, Bas vanMeulebroek, Zhiyi Zhou

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WP2 progress CGMS Anhui/Morocco. Allard de Wit, Steven Hoek , Riad Balaghi , Tarik el Hairech , Bell Zhang, Jappe Franke , Hugo de Groot, Bas vanMeulebroek , Zhiyi Zhou. WP2: Deliverables. WP2.2 Status CGMS Morocco. Building CGMS level 1 archive almost completed: - PowerPoint PPT Presentation

Transcript of WP2 progress CGMS Anhui/Morocco

Page 1: WP2  progress CGMS Anhui/Morocco

WP2 progressCGMS Anhui/Morocco

Allard de Wit, Steven Hoek, Riad Balaghi, Tarik el Hairech, Bell Zhang, Jappe Franke, Hugo de Groot, Bas vanMeulebroek, Zhiyi Zhou

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WP2: Deliverables

Deliverable

Name Status Submitted/expected

D22.1 Morocco usability report Accepted 30 June

D22.2 Morocco adaptation strategy report Accepted 31 August

D22.3 Adapted CGMS version Morocco In progress

Month 33

D22.4 CGMS Piloting Morocco In progress

Month 33

D23.1 Anhui usability report Accepted 30 June

D23.2 Anhui adaptation strategy report In progress

31 December ?

D23.3 Adapted CGMS model for regionalapplication in Anhui, China

TBD Month 33

D23.4 CGMS Piloting Anhui China TBD Month 33

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WP2.2 Status CGMS Morocco

• Building CGMS level 1 archive almost completed: • Calibration of radiation models• Vapour pressure estimates

• Real-time operations still pending• Progress has been delayed due to

accident involving Tarik El Hairech• Usefulness CGMS-MA for monitoring

2013 growing season becomes critical!

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WP2.2: work carried out

• Analysis on the poor performance of default CGMS in Morocco

• Modifications done:• Redefined crop calendar• Recalibrated phenology• Adapted water balance initialization

• Testing against regional statistics for improvements

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Poor performance of CGMS Europe in Morocco

Assumptions underlying application of CGMS in Europe for winter-wheat:

1. Model starts on the 1st of January2. Water balance is initialized at field

capacity

Indicator no. Indicator name R: Durum

wheat R: Soft wheat

1 Potential Above Ground Biomass -0.095 -0.0292 Potential Storage Organs -0.157 -0.148

3 Water Limited Above Ground Biomass 0.374 0.368

4 Water Limited Storage Organs 0.398 0.3445 Cum. rainfall September to May 0.777 0.729

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Soil moisture for w-wheat simulation (wageningen NL)

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Soil moisture for w-wheat simulation (Tassaout MO)

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Phenological calibrationTsum1/2: (1350/750, 1370/800)

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CGMS Morocco: improvements

• Model starts at real sowing date (1st December), not 1st of January

• Updated phenology parameters• Water balance starts at 1st of June with

completely dry soil profile• Aggregation to regions based on land

cover mask and Morocco regional statistics.

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Correllation with crop yield statistics (whole Morocco)

Durum wheat Soft wheat Indicator R2 SE T-value R2 SE T-value

01 CGMS potential biomass 0.01 0.62 0.029 0.00 0.59 -0.014 02 CGMS potential yield 0.41 0.64 -0.204 1.34 0.60 -0.369 03 CGMS water-lim biomass 26.28 0.54 1.888 15.84 0.55 1.372 04 CGMS water-lim yield 26.11 0.54 1.880 13.28 0.55 1.238 05 Accumulated rainfall Sep-May 70.65 0.36 4.906 60.66 0.40 3.927 06 Accum. NDVI Feb-May (VGT) 92.76 0.18 11.318 90.67 0.19 9.856 07 Accum DMP Mar-May (VGT) 84.35 0.25 7.342 79.62 0.28 6.250 08 Accum. NDVI Feb-May (AVHRR) 89.70 0.21 9.332 83.51 0.26 7.116 09 Accum DMP Mar-May (AVHRR) 75.58 0.32 5.563 68.01 0.35 4.610 10 CGMS water-lim biomass (New) 74.81 0.31 5.450 64.18 0.36 4.232 11 CGMS water-lim yield (new) 51.93 0.43 3.287 31.70 0.49 2.154 Naïve predictor - 0.59 - - 0.56 -

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Correllation with crop yield statistics (regional level)

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Conclusions on CGMS adaptation Morocco

• The phenological parameters of WOFOST were calibrated on the Moroccan experimental data.

• Assumptions used in CGMS-Europe for winter-wheat are poor for Morocco

• The adapted CGMS using the new crop calendar, new WOFOST phenological parameters and adapted water balance initialization performs considerably.

• Further improvements of CGMS for Morocco can perhaps be obtained using better data:• (weather, soil) from the Moroccan institutes• use of a variable sowing date (local rainfall pattern).• Calibration of additional parameters -> link with

WP3 • modelling of wheat growth in the southern provinces could be

improved if the special growing conditions are taken into account that are prevalent there.

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CGMS Anhui: status

• CGMS Anhui Level 1 archive finished• Problem: no real-time meteo data from Chinese

MetOffice• Use NOAA Global Summary of the Day for real-

time data → implementation pending• Crop calendar and sowing dates defined• Preliminary calibration of winter-wheat done

based on a regional crop calendar• Need to test current setup and benchmark

performance• Visit of Bell Zhang to Alterra in September

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Work on WP2.3: CGMS Anhui adaptation

Deliverable 23.2 CGMS Adaptation report Anhui Literature study on yield determining factors in

Anhui Building of questionnaire to start collecting

information from Chinese researchers Yield determining factors from literature in

Anhui:1. Disease: wheat scab disease caused by large

amount of rainfall and large number of rainy days during Anthesis

2. Flooding, waterlogging and drought3. Long periods of dark, cold and rainy weather in

spring4. Insufficient availability of good wheat varieties

adapted to Anhui5. Improper crop management (too high sowing

density)

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Work on WP2.3: CGMS Anhui adaptation

Questionnaire designed to verify results from literature study on wheat variability in Anhui

Internet-based survey using http://qualtrics.com

Questionnaire tries to retrieve information on impact of yield determining factors: Direct weather factors (drought, frost, etc.) Indirect factors (disease related) Management factors (sowing problems, nutrients,

etc) Open questions on yield variability in Anhui

based on the statistical data in Anhui. Both English and Chinese version available

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Work on WP2.3: CGMS Anhui adaptation

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WP2: e-Agri viewers

• Successful implementation of e-Agri needs platform for analysis of results:• Integrated analysis of meteo, satellite

and model results• Multiple users on multiple locations (e.g.

Morocco)• web-based solution seems most

appropriate (as MARS viewers)• Started development of viewers for e-AGRI

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e-Agri viewer design• Based Luigi web framework (as are MARS

viewers): http://sourceforge.net/projects/luigios

• Development based on PostgreSQL database (support for ORACLE to be added)

• Viewer based on Flex4 largely ready• Major work currently on dataserver to provide

E-Agri data (meteo, satellite, model results)• Simplified compared to MARS viewers

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Conclusions

• Good progress on deliverables• Need to make progress on CGMS

Morocco/Anhui implementation: • Calibration (link with WP3)• real-time operations

• Good progress on E-Agri viewers: formally not a deliverable