@article{fdi:010079415,
  title = {{R}eliability of {SM}2{RAIN} precipitation datasets in comparison to gauge observations and hydrological modelling over arid regions},
  author = {{S}atg{\'e}, {F}r{\'e}d{\'e}ric and {H}ussain, {Y}. and {M}olina-{C}arpio, {J}. and {P}illco, {R}. and {L}augner, {C}. and {A}khter, {G}. and {B}onnet, {M}arie-{P}aule},
  editor = {},
  language = {{ENG}},
  abstract = {{N}umerous satellite-based precipitation datasets have been successively made available. {T}heir precipitation estimates rely on clouds properties derived from microwave and thermal sensors in a so-named 'top-down' approach. {R}ecently, a 'bottom-up' approach to infer precipitation from soil moisture ({SM}) estimates has resulted in the release of two new precipitation datasets ({P}-datasets). {O}ne uses satellite-based {SM} estimates from the {E}uropean {S}patial {A}gency ({ESA}) {C}limate {C}hange {I}nitiative ({CCI}) ({SM}2{RAIN}-{CCI}) while the other uses satellite-based {SM} from {E}uropean {O}rganization for the {E}xploitation of {M}eteorological {S}atellites ({EUMETSAT}) {A}dvanced {SCAT}terometer ({ASCAT}) ({SM}2{RAIN}-{ASCAT}). {T}his study assesses {SM}2{RAIN}-{ASCAT} and -{CCI} reliability over two arid regions: {B}olivian and {P}eruvian {A}ltiplano and {P}akistan ({S}outh {A}sia) using (a) direct comparisons with rain gauges and (b) testing the sensitivity of streamflow modelling to the {P}-datasets. {S}electing two different regions and different indicators helps to assess whether the {P}-dataset reliability varies depending on the assessment method and location. {F}or comparison purposes, the most reliable {P}-datasets from the literature are also considered ({IMERG}-{E} v.6, {IMERG}-{L} v.6, {IMERG}-{F} v.6, {CHIRPS} v.2 and {MSWEP} v.2.2). {C}ompared to rain gauge observations and based on the modified {K}ling-{G}upta {E}fficiency ({KGE}) values, the {SM}2{RAIN}-{ASCAT} and -{CCI} are more accurate in the {A}ltiplano than in {P}akistan. {T}his difference is explained by a more favourable physical context for satellite-based {SM} estimates in the {A}ltiplano. {O}ver the {A}ltiplano and despite an overall positive bias, {SM}2{RAIN}-{ASCAT} describes rain gauges temporal dynamics as well as {IMERG}-{F} v.6, {CHIRPS} v.2 and {MSWEP} v.2.2 and provides streamflow simulations very close to those obtained when using {IMERG}-{F} v.6, {CHIRPS} v.2 and {MSWEP} v.2.2 as forcing data.},
  keywords = {arid region ; assessment ; gauges ; hydrological modelling ; satellite ; precipitation ; {SM}2{RAIN} ; {ZONE} {ARIDE} ; {BOLIVIE} ; {PEROU} ; {PAKISTAN}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {C}limatology},
  volume = {41},
  numero = {suppl. 1},
  pages = {{E}517--{E}536},
  ISSN = {0899-8418},
  year = {2021},
  DOI = {10.1002/joc.6704},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079415},
}