@article{fdi:010070202,
  title = {{C}omparative assessments of the latest {GPM} mission's spatially enhanced satellite rainfall products over the main {B}olivian watersheds},
  author = {{S}atg{\'e}, {F}. and {X}avier, {A}. and {Z}ola, {R}. {P}. and {H}ussain, {Y}. and {T}imouk, {F}ranck and {G}arnier, {J}. and {B}onnet, {M}arie-{P}aule},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he new {IMERG} and {GSM}a{P}-v6 satellite rainfall estimation ({SRE}) products from the {G}lobal {P}recipitation {M}onitoring ({GPM}) mission have been available since {J}anuary 2015. {W}ith a finer grid box of 0.1 degrees, these products should provide more detailed information than their latest widely-adapted (relatively coarser spatial scale, 0.25 degrees) counterpart. {I}ntegrated {M}ulti-satellit{E} {R}etrievals for {GPM} ({IMERG}) and {G}lobal {S}atellite {M}apping of {P}recipitation version 6 ({GSM}a{P}-v6) assessment is done by comparing their rainfall estimations with 247 rainfall gauges from 2014 to 2016 in {B}olivia. {T}he comparisons were done on annual, monthly and daily temporal scales over the three main national watersheds ({A}mazon, {L}a {P}lata and {TDPS}), for both wet and dry seasons to assess the seasonal variability and according to different slope classes to assess the topographic influence on {SRE}s. {T}o observe the potential enhancement in rainfall estimates brought by these two recently released products, the widely-used {TRMM} {M}ulti-satellite {P}recipitation {A}nalysis ({TMPA}) product is also considered in the analysis. {T}he performances of all the products increase during the wet season. {S}lightly less accurate than {TMPA}, {IMERG} can almost achieve its main objective, which is to ensure {TMPA} rainfall measurements, while enhancing the discretization of rainy and non-rainy days. {I}t also provides the most accurate estimates among all products over the {A}ltiplano arid region. {GSM}a{P}-v6 is the least accurate product over the region and tends to underestimate rainfall over the {A}mazon and {L}a {P}lata regions. {O}ver the {A}mazon and {L}a {P}lata region, {SRE} potentiality is related to topographic features with the highest bias observed over high slope regions. {O}ver the {TDPS} watershed, the high rainfall spatial variability with marked wet and arid regions is the main factor influencing {SRE}s.},
  keywords = {{IMERG} ; {GSM}a{P} ; {TMPA} ; {B}olivia ; assessment ; {GPM} ; {BOLIVIE} ; {ANDES} ; {AMAZONE} ; {DESAGUADERO} {COURS} {D}'{EAU} ; {LA} {PLATA} ; {TITICACA} {LAC} ; {POOPO} {LAC}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {9},
  numero = {4},
  pages = {369 [16 ]},
  ISSN = {2072-4292},
  year = {2017},
  DOI = {10.3390/rs9040369},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070202},
}