@article{fdi:010075194,
  title = {{E}valuation of {TAPEER} daily estimates and other {GPM}-era products against dense gauge networks in {W}est {A}frica, analysing ground reference uncertainty},
  author = {{G}osset, {M}arielle and {A}lcoba, {M}atias and {R}oca, {R}. and {C}loche, {S}. and {U}rbani, {G}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} series of multi-platform rainfall estimates is evaluated at the daily 1 degrees resolution over three dense rain-gauge networks in {W}est {A}frica, in {N}iger, {B}urkina {F}aso and {B}enin, for the period 2012-2016. {T}he quality of the ground reference, its dependence on the number of gauges and the consequences on the validation are discussed. {T}he primary objective of this work is the evaluation of the newly released {T}ropical {A}nalysis of {P}recipitation with an {E}stimation of {E}rrors ({TAPEER}) daily one-degree rainfall accumulation from the {M}egha-{T}ropiques mission. {S}everal other multi-platform products, {GSMAP}, {CMORPH}, {PERSIANN}, {TMPA} and {IMERG}, are also evaluated over the same area to put {TAPEER} performance into perspective. {F}or each product only the version that uses solely satellite information (no gauge adjustment) is used. {T}he analysis concentrates on the heart of the rainy season in {W}est {A}frica, from {J}une to {S}eptember. {TAPEER} exhibits good skill over the region, with a high correlation and a good reproduction of the frequency distribution of the rain rates, especially in the {S}ahelian region - {N}iger and {B}urkina {F}aso - where the biases are close to zero. {T}he bias is stronger (and negative) in {B}enin. {T}his overall good performance is stable from year to year. {T}he other products exhibit less bias in {B}enin and more in the {S}ahel. {CMORPH} stands out with relatively good correlations, {GSMAP} slightly less and {PERSIANN} has a very strong bias in the {S}ahel. {IMERG}, analysed over a shorter period, is also promising.},
  keywords = {observations ; rainfall ; remote sensing ; {NIGER} ; {BURKINA} {FASO} ; {BENIN}},
  booktitle = {},
  journal = {{Q}uarterly {J}ournal of the {R}oyal {M}eteorological {S}ociety},
  volume = {144},
  numero = {1},
  pages = {255--269},
  ISSN = {0035-9009},
  year = {2018},
  DOI = {10.1002/qj.3335},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075194},
}