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Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!1
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!2
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!3
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!4
Introduction Conclusions
Rome 09 March 2011Trento 17 June 2011G. Formetta,
Methodologies Results
Trento 7 July 2015Wuletawu Abera,
Yearly:
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!5
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!6
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!7
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)
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!8
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!9
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!10
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!11
Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Comparison
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!12
Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!13
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!14
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!15
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!16
Outline Calibration Issues Data AssimilationMotivation Hydrological Component
Trento 17 June 2011G. Formetta, Trento 24 June 2011
Outline Calibration IssuesInformatic Structure Hydrological ComponentsIntroduction ConclusionsResultsMethodologies
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
!17
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
Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23
Thank You
wuletawu979@gmail.com
Rome 09 March 2011Trento 17 June 2011G. Formetta,
!18
Trento 24 June 2011

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Comparison of Satellite Products for the estimation of Rainfall in the BlueNile Areaa

  • 1. Formetta et al., CAHMDA IV Lhasa 2010 - July 21-23 !1 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 !2 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 !3 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 !4 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 !5 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 !6 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 !7 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 !8 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 !9 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 !10 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 !11 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 !12 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 !13 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 !14 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 !15 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 !16 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 !17 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, !18 Trento 24 June 2011