This presentation covers five satellite products to obtain the spatial distribution of rainfall over a large are of Africa, with the final goal to drive a water budget model of the blue Nile River
INCLUSIVE EDUCATION PRACTICES FOR TEACHERS AND TRAINERS.pptx
Comparison of Satellite Products for the estimation of Rainfall in the BlueNile Areaa
1. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Motivation Calibration IssuesOutline Hydrological Component Data Assimilation
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological Components
Nov 20, 2015, EGU Topical Conference, Addis Abeba
Evaluation of different SREs and bias
correction in the Upper Blue Nile (UBN)
Wuletawu Abera, Luca Brocca, and Riccardo Rigon
2. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Introduction Conclusions
Rome 09 March 2011Trento 17 June 2011G. Formetta,
Methodologies Results
The input component for water budget
modelling is Precipitation
Water budget estimation at basin scale
3. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Motivation Outline Hydrological Component Calibration Issues Data Assimilation
Rome 09 March 2011
Introduction ConclusionsMethodologies Results
Available dataset
◆ Rainfall and temperature (> 13 stations ~ few km/station): Kriging
◆ 3 hydrometers
4. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Introduction Conclusions
Rome 09 March 2011Trento 17 June 2011G. Formetta,
Methodologies Results
Trento 7 July 2015Wuletawu Abera,
Yearly:
5. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Gauge stations are very scarce
•1 station/5000km^2
•Poor maintenance
Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Rome 09 March 2011Trento 17 June 2011G. Formetta, Trento 24 June 2011Trento 14 June 2012
Introduction ConclusionsResultsMethodologies
Option: Satellite Rainfall
Estimation products
6. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Introduction ConclusionsResultsMethodologies
Which products to use ??
Knoche et‘al, 2014
Objective:
◆ evaluate selective SREs
◆ correct bases associated in SREs
7. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Select Promising SREs
Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Introduction ConclusionsResultsMethodologies
Fuka et al, 2013 (CFSR good
results for RR model)
Gebremichael et al, 2013
(CMORPH, and TRMM)
Bitew et al, 2011 (CMORPH,
3B42RT, 3B42)
8. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Introduction ConclusionsResultsMethodologies
Worqlul et’al, 2014
(TRMM 3B42,
MPEG and CFSR)
E.T.C
Main criteria
◆ Temporal high resolution
◆ Spatial high resolution
◆ Available for long enough for
water resource modelling
1. CMORPH
2. TRMM
3. TAMSAT
4. CFSR
5. SM2RAIN
9. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Motivation Calibration IssuesOutline Hydrological Component Data Assimilation
Comparison is Point-pixel
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Informatic Structure Calibration IssuesHydrological ComponentsIntroduction ConclusionsResultsMethodologies
Trento 7 July 2015Wuetawu Abera,
GOF Detection skills
10. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Motivation Calibration IssuesOutline Hydrological Component Data Assimilation
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Informatic Structure Calibration IssuesHydrological ComponentsIntroduction ConclusionsResultsMethodologies
ECDF mapping • The entire distribution matches
Panofsky and Brier, 1986;
Michelangeli et al, 2009
HwangandGraham,2013
11. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Comparison
12. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
13. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Nov 20, 2015, Addis AbabaWuletawu Abera,
• Confusion matrix
14. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Total volume
15. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Bias Correction
16. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
17. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
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Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
▪ Global performance CMORPH, TAMSAT, and SM2RAIN are better
▪ The highland areas (but topographically complex ?) are better than the
lowlands
ECDF mapping reduce the bias
▪ Recommendation: Jackknife correction (spatially); Monthly correction
▪ TRMM and SM2RAIN is less biased
18. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
Thank You
wuletawu979@gmail.com
Rome 09 March 2011Trento 17 June 2011G. Formetta,
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Trento 24 June 2011