@article{fdi:010075130,
  title = {{C}onsistency of satellite-based precipitation products in space and over time compared with gauge observations and snow-hydrological modelling in the {L}ake {T}iticaca region},
  author = {{S}atg{\'e}, {F}r{\'e}d{\'e}ric and {R}uelland, {D}. and {B}onnet, {M}arie-{P}aule and {M}olina, {J}. and {P}illco, {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper proposes a protocol to assess the space-time consistency of 12 satellite-based precipitation products ({SPP}s) according to various indicators, including (i) direct comparison of {SPP}s with 72 precipitation gauges; (ii) sensitivity of streamflow modelling to {SPP}s at the outlet of four basins; and (iii) the sensitivity of distributed snow models to {SPP}s using a {MODIS} snow product as reference in an un-monitored mountainous area. {T}he protocol was applied successively to four different time windows (2000-2004, 20042008, 2008-2012 and 2000-2012) to account for the space-time variability of the {SPP}s and to a large dataset composed of 12 {SPP}s ({CMORPH}-{RAW} v.1, {CMORPH}-{CRT} v.1, {CMORPH}-{BLD} v. 1, {CHIRP} v.2, {CHIRPS} v.2, {GSM}a{P} v. 6, {MSWEP} v. 2.1, {PERSIANN}, {PERSIANN}-{CDR}, {TMPART} v. 7, {TMPA}-{A}dj v.7 and {SM}2{R}ain-{CCI} v. 2), an unprecedented comparison. {T}he aim of using different space scales and timescales and indicators was to evaluate whether the efficiency of {SPP}s varies with the method of assessment, time window and location. {R}esults revealed very high discrepancies between {SPP}s. {C}ompared to precipitation gauge observations, some {SPP}s ({CMORPH}-{RAW} v. 1, {CMORPH}-{CRT} v. 1, {GSM}a{P} v. 6, {PERSIANN}, and {TMPA}-{RT} v. 7) are unable to estimate regional precipitation, whereas the others ({CHIRP} v.2, {CHIRPS} v.2, {CMORPH}-{BLD} v. 1, {MSWEP} v.2.1, {PERSIANN}-{CDR}, and {TMPA}-{A}dj v. 7) produce a realistic representation despite recurrent spatial limitation over regions with contrasted emissivity, temperature and orography. {I}n 9 out of 10 of the cases studied, streamflow was more realistically simulated when {SPP}s were used as forcing precipitation data rather than precipitation derived from the available precipitation gauge networks, whereas the {SPP}'s ability to reproduce the duration of {MODIS}-based snow cover resulted in poorer simulations than simulation using available precipitation gauges. {I}nterestingly, the potential of the {SPP}s varied significantly when they were used to reproduce gauge precipitation estimates, streamflow observations or snow cover duration and depending on the time window considered. {SPP}s thus produce space-time errors that cannot be assessed when a single indicator and/or time window is used, underlining the importance of carefully considering their space-time consistency before using them for hydro-climatic studies. {A}mong all the {SPP}s assessed, {MSWEP} v. 2.1 showed the highest space-time accuracy and consistency in reproducing gauge precipitation estimates, streamflow and snow cover duration.},
  keywords = {{PEROU} ; {BOLIVIE} ; {ANDES} ; {TITICACA} {LAC}},
  booktitle = {},
  journal = {{H}ydrology and {E}arth {S}ystem {S}ciences},
  volume = {23},
  numero = {1},
  pages = {595--619},
  ISSN = {1027-5606},
  year = {2019},
  DOI = {10.5194/hess-23-595-2019},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075130},
}