@article{fdi:010065682,
  title = {{T}emporal and spatial assessment of four satellite rainfall estimates over {F}rench {G}uiana and {N}orth {B}razil},
  author = {{R}ingard, {J}. and {B}ecker, {M}. and {S}eyler, {F}r{\'e}d{\'e}rique and {L}inguet, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}atellite precipitation products are a means of estimating rainfall, particularly in areas that are sparsely equipped with rain gauges. {T}he {G}uiana {S}hield is a region vulnerable to high water episodes. {F}lood risk is enhanced by the concentration of population living along the main rivers. {A} good understanding of the regional hydro-climatic regime, as well as an accurate estimation of precipitation is therefore of great importance. {U}nfortunately, there are very few rain gauges available in the region. {T}he objective of the study is then to compare satellite rainfall estimation products in order to complement the information available in situ and to perform a regional analysis of four operational precipitation estimates, by partitioning the whole area under study into a homogeneous hydro-climatic region. {I}n this study, four satellite products have been tested, {TRMM} {TMPA} ({T}ropical {R}ainfall {M}easuring {M}ission {M}ultisatellite {P}recipitation {A}nalysis) {V}7 ({V}ersion 7) and {RT} (real time), {CMORPH} ({C}limate {P}rediction {C}enter ({CPC}) {MORPH}ing technique) and {PERSIANN} ({P}recipitation {E}stimation from {R}emotely-{S}ensed {I}nformation using {A}rtificial {N}eural {N}etwork), for daily rain gauge data. {P}roduct performance is evaluated at daily and monthly scales based on various intensities and hydro-climatic regimes from 1 {J}anuary 2001 to 30 {D}ecember 2012 and using quantitative statistical criteria (coefficient correlation, bias, relative bias and root mean square error) and quantitative error metrics (probability of detection for rainy days and for no-rain days and the false alarm ratio). {O}ver the entire study period, all products underestimate precipitation. {T}he results obtained in terms of the hydro-climate show that for areas with intense convective precipitation, {TMPA} {V}7 shows a better performance than other products, especially in the estimation of extreme precipitation events. {I}n regions along the {A}mazon, the use of {PERSIANN} is better. {F}inally, in the driest areas, {TMPA} {V}7 and {PERSIANN} show the same performance.},
  keywords = {{GUYANE} {FRANCAISE} ; {BRESIL}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {7},
  numero = {},
  pages = {16441--16549},
  ISSN = {2072-4292},
  year = {2015},
  DOI = {10.3390/rs71215831},
  URL = {https://www.documentation.ird.fr/hor/fdi:010065682},
}