@article{fdi:010070366,
  title = {{S}treamflows over a {W}est {A}frican {B}asin from the {ALMIP}2 model ensemble},
  author = {{G}etirana, {A}. and {B}oone, {A}. and {P}eugeot, {C}hristophe and {ALMIP} {W}orking {G}roup and {C}appelaere, {B}ernard and {D}emarty, {J}{\'e}rome and {S}{\'e}guis, {L}uc and {V}elluet, {C}ecile and {C}haffard, {V}{\'e}ronique and {G}alle, {S}ylvie and {L}ebel, {T}hierry and {Q}uantin, {G}uillaume and {M}ougin, {E}ric and et al.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}omparing streamflow simulations against observations has become a straightforward way to evaluate a land surface model's ({LSM}) ability in simulating water budget within a catchment. {U}sing a mesoscale river routing scheme ({RRS}), this study evaluates simulated streamflows over the upper {O}ueme {R}iver basin resulting from 14 {LSM}s within the framework of phase 2 of the {A}frican {M}onsoon {M}ultidisciplinary {A}nalysis ({AMMA}) {L}and {S}urface {M}odel {I}ntercomparison {P}roject ({ALMIP}2). {T}he {ALMIP}2 {RRS} ({ARTS}) has been used to route {LSM} outputs. {ARTS} is based on the nonlinear {M}uskingum-{C}unge method and a simple deep water infiltration formulation representing water-table recharge as previously observed in that region. {S}imulations are performed for the 2005-08 period during which ground observations are largely available. {E}xperiments are designed using different ground-based rainfall datasets derived from two interpolation methods: the {T}hiessen technique and a combined kriging-{L}agrangian methodology. {LSM}-based total runoff ({TR}) averages vary from 0.07 to 1.97mmday(-1), while optimal {TR} was estimated as; 0.65mmday(-1). {T}his highly affected the {RRS} parameterization and streamflow simulations. {O}ptimal {N}ash-{S}utcliffe coefficients for {LSM}-averaged streamflows varied from 0.66 to 0.92, depending on the gauge station. {H}owever, individual {LSM} performances show a wider range. {A} more detailed rainfall distribution provided by the kriging-{L}agrangian methodology resulted in overall better streamflow simulations. {T}he early runoff generation related to reduced infiltration rates during early rainfall events features as one of the main reasons for poor {LSM} performances.},
  keywords = {{MALI} ; {NIGER} ; {BENIN} ; {OUEME} {BASSIN} {VERSANT}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrometeorology},
  volume = {18},
  numero = {7},
  pages = {1831--1845},
  ISSN = {1525-755{X}},
  year = {2017},
  DOI = {10.1175/jhm-d-16-0233.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070366},
}