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Comparison of Trend Preserving Statistical Downscaling Algorithms Toward an Improved Precipitation Extremes Projection in the Headwaters of Blue Nile River in Ethiopia

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Abstract

Projected changes in precipitation extremes can greatly impact the natural environment. Hence, the precipitation extremes must be precisely estimated with an appropriate bias correction algorithm to provide reliable information for the formulation of climate change impact adaptation and mitigation strategies. However, there is a lack of studies that discuss the effect of bias correction algorithms on the reproduction of precipitation extremes in the Blue Nile River Basin. This study compared three commonly used bias correction algorithms: the quantile mapping (QM), detrended QM (DQM), and quantile delta mapping (QDM). The QDM and DQM algorithms outperformed the standard QM bias correction algorithm in preserving the raw climate models projected relative changes of precipitation extremes. The performance differences between the standard QM and other bias correction algorithms (DQM and QDM) were more pronounced in the projection of extreme daily precipitation. Conversely, the projection of dry and wet spells was less sensitive for the choice of the bias correction algorithm. In general, the climate change impact analysis with the QDM algorithm revealed the increase in the frequency and severity of precipitation extremes. Moreover, the results showed the increase (decrease) in the maximum length of dry (wet) spells; indicating the increase in the severity of the meteorological droughts in the future that could potentially reduce the rain-fed agricultural productivity of the region.

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Data Availability

Data collected and analyzed in this study are available from the corresponding author upon request.

References

  • Abtew W, Melesse AM (2014) Climate teleconnections and water management. In: Melesse AM, Abtew W, Setegn S (eds) Nile River basin. Springer, pp 685–705

  • Abtew W, Melesse AM, Dessalegne T (2009a) El Niño southern oscillation link to the Blue Nile River basin hydrology. Hydrol Process 23:3653–3660

    Google Scholar 

  • Abtew W, Melesse AM, Dessalegne T (2009b) Spatial, inter and intra-annual variability of the upper Blue Nile Basin rainfall. Hydrol Process 23:3075–3082

    Google Scholar 

  • Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AM, Haylock M, Collins D, Trewin B, Rahimzadeh F, Tagipour A (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos 111(D5)

  • Anandhi A, Hutchinson S, Harrington J, Rahmani V, Kirkham MB, Rice CW (2016) Changes in spatial and temporal trends in wet, dry, warm and cold spell length or duration indices in Kansas, USA. Int J Climatol 36:4085–4101

    Google Scholar 

  • Ayugi B, Tan G, Gnitou GT, Ojara M, Ongoma V (2020) Historical evaluations and simulations of precipitation over East Africa from Rossby Centre regional climate model. Atmos Res 232:104705

    Google Scholar 

  • Bai A, Zhai P, Liu X (2007) Climatology and trends of wet spells in China. Theor Appl Climatol 88:139–148

    Google Scholar 

  • Bengtsson L, Rana A (2014) Long-term change of daily and multi-daily precipitation in southern Sweden. Hydrol Process 28:2897–2911

    Google Scholar 

  • Bentsen M, Bethke I, Debernard JB, Iversen T, Kirkevåg A, Seland Ø, Drange H, Roelandt C, Seierstad IA, Hoose C, Kristjansson JE (2013) The Norwegian earth system model, NorESM1-M–part 1: description and basic evaluation of the physical climate. Geosci Model Dev 6:687–720

    Google Scholar 

  • Berhane A, Hadgu G, Worku W, Abrha B (2020) Trends in extreme temperature and rainfall indices in the semi-arid areas of Western Tigray, Ethiopia. Environ Syst Res 9:1–20

    Google Scholar 

  • Beyene T, Lettenmaier DP, Kabat P (2010) Hydrologic impacts of climate change on the Nile River basin: implications of the 2007 IPCC scenarios. Clim Chang 100:433–461

    Google Scholar 

  • Bürger G, Sobie S, Cannon A, Werner A, Murdock T (2013) Downscaling extremes: an intercomparison of multiple methods for future climate. J Clim 26:3429–3449

    Google Scholar 

  • Cannon AJ, Sobie SR, Murdock TQ (2015) Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes? J Clim 28:6938–6959

    Google Scholar 

  • Capra A, Consoli S, Scicolone B (2013) Long-term climatic variability in Calabria and effects on drought and agrometeorological parameters. Water Resour Manag 27:601–617

    Google Scholar 

  • Chen J, Brissette FP, Chaumont D, Braun M (2013) Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America. Water Resour Res 49:4187–4205

    Google Scholar 

  • Chylek P, Li J, Dubey M, Wang M, Lesins G (2011) Observed and model simulated 20th century Arctic temperature variability: Canadian earth system model CanESM2. Atmospheric Chemistry and Physics Discussions, pp 22893-22907

  • Collins WJ, Bellouin N, Doutriaux-Boucher M, Gedney N, Halloran P, Hinton T, Hughes J, Jones CD, Joshi M, Liddicoat S, Martin G (2011) Development and evaluation of an earth-system model-HadGEM2. Geosci Model Dev 4(2):997–1062

    Google Scholar 

  • Dai A (2011) Drought under global warming: a review. WIREs: Climate Change 2:45–65

    Google Scholar 

  • Dessu SB, Melesse AM (2013) Impact and uncertainties of climate change on the hydrology of the Mara River basin, Kenya/Tanzania. Hydrol Process 27:2973–2986

    Google Scholar 

  • Diallo I, Sylla M, Giorgi F, Gaye A, Camara M (2012) Multimodel GCM-RCM ensemble-based projections of temperature and precipitation over West Africa for the early 21st century. International Journal of Geophysics 2012 https://doi.org/10.1155/2012/972896

  • Dosio A, Jones RG, Jack C, Lennard C, Nikulin G, Hewitson B (2019) What can we know about future precipitation in Africa? Robustness, significance and added value of projections from a large ensemble of regional climate models. Clim Dyn 53:5833–5858

    Google Scholar 

  • Dunne JP, John JG, Adcroft AJ, Griffies SM, Hallberg RW, Shevliakova E, Stouffer RJ, Cooke W, Dunne KA, Harrison MJ, Krasting JP (2012) GFDL’s ESM2 global coupled climate–carbon earth system models. Part I: Physical formulation and baseline simulation characteristics. J Clim 25:6646–6665

    Google Scholar 

  • Elshamy ME, Seierstad IA, Sorteberg A (2009) Impacts of climate change on Blue Nile flows using bias-corrected GCM scenarios. Hydrol Earth Syst Sci 13:551–565

    Google Scholar 

  • Estrela T, Vargas E (2012) Drought management plans in the European Union. The case of Spain. Water Resour Manag 26:1537–1553

    Google Scholar 

  • Fenta Mekonnen D, Disse M (2018) Analyzing the future climate change of upper Blue Nile River basin using statistical downscaling techniques. Hydrol Earth Syst Sci 22:2391–2408

    Google Scholar 

  • Fiseha B, Setegn S, Melesse A, Volpi E, Fiori A (2014) Impact of climate change on the hydrology of upper Tiber River basin using bias corrected regional climate model. Water Resour Manag 28:1327–1343

    Google Scholar 

  • Fotso-Nguemo TC, Diallo I, Diakhaté M, Vondou DA, Mbaye ML, Haensler A, Gaye AT, Tchawoua C (2019) Projected changes in the seasonal cycle of extreme rainfall events from CORDEX simulations over Central Africa. Clim Chang 155:339–357

    Google Scholar 

  • Gao C, Booij MJ, Xu YP (2020) Impacts of climate change on characteristics of daily-scale rainfall events based on nine selected GCMs under four CMIP5 RCP scenarios in Qu River basin, East China. Int J Climatol 40:887–907

    Google Scholar 

  • Gebrechorkos SH, Hülsmann S, Bernhofer C (2019) Changes in temperature and precipitation extremes in Ethiopia, Kenya, and Tanzania. Int J Climatol 39:18–30

    Google Scholar 

  • Harpa GV, Croitoru AE, Djurdjevic V, Horvath C (2019) Future changes in five extreme precipitation indices in the lowlands of Romania. Int J Climatol 39:5720–5740

    Google Scholar 

  • Jakob Themeßl M, Gobiet A, Leuprecht A (2011) Empirical-statistical downscaling and error correction of daily precipitation from regional climate models. Int J Climatol 31:1530–1544

    Google Scholar 

  • Johnson F, Sharma A (2015) What are the impacts of bias correction on future drought projections? J Hydrol 525:472–485

    Google Scholar 

  • Kim U, Kaluarachchi J (2009) Climate change impacts on water resources in the upper Blue Nile river basin, Ethiopia. J Am Water Resour Assoc 45:1361–1378

    Google Scholar 

  • Klein Tank A, Können G (2003) Trends in indices of daily temperature and precipitation extremes in Europe, 1946–99. J Clim 16:3665–3680

    Google Scholar 

  • Kruger A, Sekele S (2013) Trends in extreme temperature indices in South Africa: 1962–2009. Int J Climatol 33:661–676

    Google Scholar 

  • Mango LM, Melesse AM, McClain ME, Gann D, Setegn S (2011) Land use and climate change impacts on the hydrology of the upper Mara River basin, Kenya: results of a modeling study to support better resource management. Hydrol Earth Syst Sci 15:2245–2258

    Google Scholar 

  • Mariotti L, Diallo I, Coppola E, Giorgi F (2014) Seasonal and intraseasonal changes of African monsoon climates in 21st century CORDEX projections. Clim Chang 125:53–65

    Google Scholar 

  • Mearns LO, Arritt R, Biner S, Bukovsky MS, McGinnis S, Sain S, Caya D, Correia J Jr, Flory D, Gutowski W, Takle ES (2012) The north American regional climate change assessment program: overview of phase I results. Bull Am Meteorol Soc 93:1337–1362

    Google Scholar 

  • Melesse AM, Loukas AG, Senay G, Yitayew M (2009) Climate change, land-cover dynamics and ecohydrology of the Nile River basin. Hydrol Process 23:3651–3652

    Google Scholar 

  • Melesse A, Bekele S, McCornick P (2011a) Hydrology of the Niles in the face of land-use and climate dynamics. In: Melesse A (ed) Nile River basin: hydrology, climate and water use. Springer Science Publisher, vii-xvii 10:978–994. https://doi.org/10.1007/978-94-007-0689-7

  • Melesse AM, Abtew W, Setegn SG, Dessalegne T (2011b) Hydrological variability and climate of the upper Blue Nile River basin. In: Melesse A (ed) Nile River basin: hydrology, climate and water use e. Springer Science Publisher Chapter 1, 3–37. https://doi.org/10.1007/978-94-007-0689-7_1

  • Melesse AM, Abtew W, Setegn SG (2014) In: Melesse AM, Abtew W, Setegn S (eds) Nile River basin: ecohydrological challenges, climate change and hydropolitics. Springer Science & Business Media, pp 7–22

  • Moss RH, Edmonds JA, Hibbard KA, Manning MR, Rose SK, Van Vuuren DP, Carter TR, Emori S, Kainuma M, Kram T, Meehl GA (2010) The next generation of scenarios for climate change research and assessment. Nature 463(7282):747–756

    Google Scholar 

  • Ogega OM, Koske J, Kung'u JB, Scoccimarro E, Endris HS, Mistry MN (2020) Heavy precipitation events over East Africa in a changing climate: results from CORDEX RCMs. Clim Dyn 55:993–1009

    Google Scholar 

  • Onyutha C (2020) Analyses of rainfall extremes in East Africa based on observations from rain gauges and climate change simulations by CORDEX RCMs. Clim Dyn 54:4841–4864

    Google Scholar 

  • Setegn SG, Rayner D, Melesse AM, Dargahi B, Srinivasan R (2011) Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia. Water Resour Res 47(4)

  • Sillmann J, Kharin V, Zwiers F, Zhang X, Bronaugh D (2013) Climate extremes indices in the CMIP5 multimodel ensemble: part 2. Future climate projections. J Geophys Res Atmos 118:2473–2493

    Google Scholar 

  • Stagge JH, Kohn I, Tallaksen LM, Stahl K (2015) Modeling drought impact occurrence based on meteorological drought indices in Europe. J Hydrol 530:37–50

    Google Scholar 

  • Taye MT, Ntegeka V, Ogiramoi N, Willems P (2011) Assessment of climate change impact on hydrological extremes in two source regions of the Nile River basin. Hydrol Earth Syst Sci 15(1):209

    Google Scholar 

  • Tegegne G, Kim Y-O (2018) Modelling ungauged catchments using the catchment runoff response similarity. J Hydrol 564:452–466

    Google Scholar 

  • Tegegne G, Kim Y-O (2020) Representing inflow uncertainty for the development of monthly reservoir operations using genetic algorithms. J Hydrol 124876

  • Tegegne G, Melesse AM (2020) Multimodel ensemble projection of hydro-climatic extremes for climate change impact assessment on water resources. Water Resour Manag 34(9):3019–3035

    Google Scholar 

  • Tegegne G, Park DK, Kim Y-O (2017) Comparison of hydrological models for the assessment of water resources in a data-scarce region, the upper Blue Nile River basin. J Hydrol Reg Stud 14:49–66

    Google Scholar 

  • Tegegne G, Kim YO, Lee JK (2019) Spatiotemporal reliability ensemble averaging of multi-model simulations. Geophys Res Lett 46(21):12321–12330

    Google Scholar 

  • Tegegne G, Melesse AM, Alamirew T (2020a) Projected changes in extreme precipitation indices from CORDEX simulations over Ethiopia, East Africa. Atmos Res 247:105156

    Google Scholar 

  • Tegegne G, Melesse AM, Asfaw DH, Worqlul AW (2020b) Flood frequency analyses over different basin scales in the Blue Nile River basin, Ethiopia. Hydrology 7(3):44

    Google Scholar 

  • Tegegne G, Melesse AM, Worqlul AW (2020c) Development of multi-model ensemble approach for enhanced assessment of impacts of climate change on climate extremes. Sci Total Environ 704:135357

    Google Scholar 

  • Teklesadik AD, Alemayehu T, Van Griensven A, Kumar R, Liersch S, Eisner S, Tecklenburg J, Ewunte S, Wang X (2017) Inter-model comparison of hydrological impacts of climate change on the upper Blue Nile basin using ensemble of hydrological models and global climate models. Clim Chang 141:517–532

    Google Scholar 

  • Teutschbein C, Seibert J (2012) Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods. J Hydrol 456:12–29

    Google Scholar 

  • Themeßl MJ, Gobiet A, Heinrich G (2012) Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal. Clim Chang 112:449–468

    Google Scholar 

  • Toreti A, Desiato F (2008) Changes in temperature extremes over Italy in the last 44 years. Int J Climatol 28:733–745

    Google Scholar 

  • Van Loon AF, Stahl K, Di Baldassarre G, Clark J, Rangecroft S, Wanders N, Gleeson T, Van Dijk AI, Tallaksen LM, Hannaford J, Uijlenhoet R (2016) Drought in a human-modified world: reframing drought definitions, understanding, and analysis approaches. Hydrol Earth Syst Sci 20(9):3631–3650

    Google Scholar 

  • Wang X, Yang T, Shao Q, Acharya K, Wang W, Yu Z (2012) Statistical downscaling of extremes of precipitation and temperature and construction of their future scenarios in an elevated and cold zone. Stoch Env Res Risk A 26:405–418

    Google Scholar 

  • Watanabe S, Hajima T, Sudo K, Nagashima T, Takemura T, Okajima H, Nozawa T, Kawase H, Abe M, Yokohata T, Ise T (2011) MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments. Geosci Model Dev 4(4):845–872

    Google Scholar 

  • Worqlul AW, Dile YT, Ayana EK, Jeong J, Adem AA, Gerik T (2018) Impact of climate change on streamflow hydrology in headwater catchments of the upper Blue Nile Basin, Ethiopia. Water 10(2):120

    Google Scholar 

  • Zhang X, Alexander L, Hegerl GC, Jones P, Tank AK, Peterson TC, Trewin B, Zwiers FW (2011) Indices for monitoring changes in extremes based on daily temperature and precipitation data. WIREs: Climate Change 2:851–870

    Google Scholar 

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Acknowledgements

The observed precipitation data from 13 weather gauging stations used in this paper were collected from the Ethiopian National Meteorological Agency.

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  1. Department of Earth and Environment, Florida International University, Miami, FL, 33199, USA

    Getachew Tegegne & Assefa M. Melesse

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  1. Getachew Tegegne
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Contributions

Getachew Tegegne: Conceptualization, Methodology, Software, Data curation, Formal Analysis, Writing- Original draft preparation. Assefa M. Melesse: Visualization, Investigation, Writing- Reviewing and Editing.

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Correspondence to Getachew Tegegne.

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Tegegne, G., Melesse, A.M. Comparison of Trend Preserving Statistical Downscaling Algorithms Toward an Improved Precipitation Extremes Projection in the Headwaters of Blue Nile River in Ethiopia. Environ. Process. 8, 59–75 (2021). https://doi.org/10.1007/s40710-020-00474-z

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