@article{fdi:010053547,
  title = {{V}ariability of atmospheric precipitable water in northern {C}hile : impacts on interpretation of {I}n{SAR} data for earthquake modeling},
  author = {{R}{\'e}my, {D}ominique and {F}alvey, {M}. and {B}onvalot, {S}ylvain and {C}hlieh, {M}ohamed and {G}abalda, {G}erminal and {F}roger, {J}.{L}. and {L}egrand, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he use of {S}ynthetic {A}perture {R}adar interferometry ({I}n{SAR}) in northern {C}hile, one of the most seismically active regions in the world, is of great importance. {I}n{SAR} enables geodesists not only to accurately measure {E}arth's motions but also to improve fault slip map resolution and our knowledge of the time evolution of the earthquake cycle processes. {F}ault slip mapping is critical to better understand the mechanical behavior of seismogenic zones and has fundamental implications for assessing hazards associated with megathrust earthquakes. {H}owever, numerous sources of errors can significantly affect the accuracy of the geophysical parameters deduced by {I}n{SAR}. {A}mong them, atmospheric phase delays caused by changes in the distribution of water vapor can lead to biased model parameter estimates and/or to difficulties in interpreting deformation events captured with {I}n{SAR}. {T}he hyper-arid climate of northern {C}hile might suggest that differential delays are of a minor importance for the application of {I}n{SAR} techniques. {B}ased on {GPS}, {M}oderate {R}esolution {I}maging {S}pectroradiometer ({MODIS}) data our analysis shows that differential phase delays have typical amplitudes of about 20 mm and may exceptionally exceed 100 mm and then may impact the inferences of fault slip for even a {M}w 8 earthquakes at 10% level. {I}n this work, procedures for mitigating atmospheric effects in {I}n{SAR} data using simultaneous {MODIS} time series are evaluated. {W}e show that atmospheric filtering combined with stacking methods are particularly well suited to minimize atmospheric contamination in {I}n{SAR} imaging and significantly reduce the impact of atmospheric delay on the determination of fundamental earthquake parameters.},
  keywords = {{I}nterferometry ; {E}arthquake modeling ; {D}eformation ; {T}roposphere ; {N}orthern ; {C}hile},
  booktitle = {},
  journal = {{J}ournal of {S}outh {A}merican {E}arth {S}ciences},
  volume = {31},
  numero = {2-3},
  pages = {214--226},
  ISSN = {0895-9811},
  year = {2011},
  DOI = {10.1016/j.jsames.2011.01.003},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053547},
}