@article{fdi:010080367,
  title = {{R}ainfall measurement from {C}ommercial microwave links for urban hydrology in {A}frica : a simulation framework for sensitivity analysis},
  author = {{T}urko, {M}. and {G}osset, {M}arielle and {K}acou, {M}. and {B}ouvier, {C}hristophe and {C}hahinian, {N}an{\'e}e  and {B}oone, {A}. and {A}lcoba, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{U}rban floods due to intense precipitation are a major problem in many tropical regions as in {A}frica. {R}ainfall measurement using microwave links from cellular communication networks has been proposed as a cost-effective solution to monitor rainfall in these areas where the gauge network is scarce. {T}he method consists in retrieving rainfall from the attenuation estimated along the commercial microwave links ({CML}s) thanks to the power levels provided by an operator. {I}n urban areas where the network is dense, rainfall can be estimated and mapped for hydrological prediction. {R}ainfall estimation from {CML}s is subject to uncertainties. {T}his paper analyzes the advantages and limitations of this rainfall data for a distributed hydrological model applied to an urban area. {T}he case study is in {W}est {A}frica in {O}uagadougou, {B}urkina {F}aso, where a hydrological model has been set up. {T}he analysis is based on numerical simulations, using high-resolution rain maps from a weather radar to emulate synthetic microwave links. {T}wo sources of uncertainty in the rain estimation and on the simulated discharge are analyzed by simulations: (i) the precision of the raw information provided by the operator and (ii) the density and geometry of the network. {A} coarse precision (1 d{B}) in the signal provided by the operator can lead to substantial underestimation of rainfall and discharge, especially for links operating at low frequency (below 10 {GH}z) or of short length (less than 1 km). {T}he density of the current mobile networks in urban areas is appropriate to analyze hydrological impact of tropical convective rainfall.},
  keywords = {{PRECIPITATION} ; {MODELE} {HYDROLOGIQUE} ; {INONDATION} ; {VILLE} ; {METHODOLOGIE} ; {ESTIMATION} ; {SIMULATION} ; {DEBIT} ; {ETUDE} {DE} {CAS} ; {TELEPHONIE} {MOBILE} ; {AFRIQUE} {DE} {L}'{OUEST} ; {BURKINA} {FASO} ; {OUAGADOUGOU} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrometeorology},
  volume = {22},
  numero = {7},
  pages = {1819--1834},
  ISSN = {1525-755{X}},
  year = {2021},
  DOI = {10.1175/{JHM}-{D}-20-0163.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080367},
}