@article{fdi:010089577,
  title = {{A}ssessing the variability of satellite and reanalysis rainfall products over a semiarid catchment in {T}unisia},
  author = {{G}harnouki, {I}. and {A}ouissi, {J}. and {B}enabdallah, {S}. and {T}ramblay, {Y}ves},
  editor = {},
  language = {{ENG}},
  abstract = {{P}recipitation is a key component in hydrologic processes. {I}t plays an important role in hydrological modeling and water resource management. {H}owever, many regions suffer from limited and data scarcity due to the lack of ground-based rain gauge networks. {T}he main objective of this study is to evaluate other source of rainfall data such as remote sensing data (three different satellite-based precipitation products ({CHIRPS}, {PERSIANN}, and {GPM}) and a reanalysis ({ERA}5) against ground-based data, which could provide complementary rainfall information in semiarid catchment of {T}unisia ({H}affouz catchment), for the period between {S}eptember 2000 and {A}ugust 2018. {T}hese remotely sensed-data are compared for the first time with observations in a semiarid catchment in {T}unisia.{T}welve rain gauges and two different interpolation methods (inverse distance weight and ordinary kriging) were used to compute a set of interpolated precipitation reference fields. {T}he evaluation was performed at daily, monthly, and yearly time scales and at different spatial scales, using several statistical metrics. {T}he results showed that the two interpolation methods give similar precipitation estimates at the catchment scale. {A}ccording to the different statistical metrics, {CHIRPS} showed the most satisfactory results followed by {PERSIANN} which performed well in terms of correlation but overestimated precipitations spatially over the catchment. {GPM} underestimates the precipitation considerably, but it gives a satisfactory performance temporally. {ERA}5 shows a very good performance at daily, monthly, and yearly timescale, but it is unable to represent the spatial variability distribution of precipitation for this catchment. {T}his study concluded that satellite-based precipitation products or reanalysis data can be useful in semiarid regions and data-scarce catchments, and it may provide less costly alternatives for data-poor regions.},
  keywords = {{P}recipitation ; {S}atellite-based precipitation products ; {S}patial interpolation ; {T}unisia ; {TUNISIE}},
  booktitle = {},
  journal = {{A}cta {G}eophysica},
  volume = {[{E}arly acces]},
  numero = {},
  pages = {[17 p.]},
  ISSN = {1895-6572},
  year = {2024},
  DOI = {10.1007/s11600-024-01293-8},
  URL = {https://www.documentation.ird.fr/hor/fdi:010089577},
}