@article{fdi:010089436,
  title = {{I}mproved modeling of {C}ongo's hydrology for floods and droughts analysis and {ENSO} teleconnections},
  author = {{W}ongchuig, {S}. and {K}itambo, {B}. and {P}apa, {F}abrice and {P}aris, {A}. and {F}leischmann, {A}.{S}. and {G}al, {L}. and {B}oucharel, {J}ulien and {P}aiva, {R}. and {J}uca {O}liveira, {R}omulo {A}ugusto and {T}shimanga, {R}.{M}. and {C}almant, {S}t{\'e}phane},
  editor = {},
  language = {{ENG}},
  abstract = {{S}tudy region : {T}he {C}ongo {R}iver basin ({CRB}), the world's second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. {S}tudy focus : {H}ere we present an improved 40-year (1981-2020) hydrological reanalysis of daily {CRB} discharge and analyze the spatiotemporal dynamics of recent major {CRB} floods and droughts, and their teleconnection with {E}l {N}iño-{S}outhern {O}scillation ({ENSO}), the dominant driver of tropical precipitation. {W}e employ a large-scale hydrologic-hydrodynamic model ({MGB}) with lake storage dynamics representation and a data assimilation ({DA}) technique using in-situ and remote sensing observations. {N}ew {H}ydrological {I}nsights : {T}he {MGB} model demonstrates satisfactory performance, with {K}ling-{G}upta efficiency metric of 0.84 and 0.71 for calibration and validation, respectively. {I}ncorporating lake representation substantially enhances simulations, increasing the {P}earson correlation coefficient from 0.3 to 0.63. {A}dditionally, {DA} yields a ?13% reduction in discharge errors via cross-validation. {W}e find that the 1997-1998 flood impacting the south and central {CRB} is statistically linked to a major {E}l {N}iño event during that period. {H}owever, no such association is found for the 2019-2020 flood. {S}evere droughts in 1983-1984 and 2011-2012, affecting northern and southern {CRB} respectively, exhibit strong correlation with preceding {E}l {N}iño and {L}a {N}iña events, with a ?10-12 months lag. {T}his study advances understanding of the intricate interplay between spatiotemporal hydrological variability in {CRB} and large-scale climate phenomena like {ENSO}.},
  keywords = {{CENTRAFRIQUE} ; {CAMEROUN} ; {CONGO} ; {ANGOLA} ; {ZAMBIE} ; {TANZANIE} ; {RWANDA} ; {BURUNDI} ;  {CONGO} {BASSIN}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrology : {R}egional {S}tudies},
  volume = {50},
  numero = {},
  pages = {101563 [21 ]},
  ISSN = {2214-5818},
  year = {2023},
  DOI = {10.1016/j.ejrh.2023.101563},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089436},
}