@article{PAR00008584,
  title = {{E}valuation of remotely sensed and modelled soil moisture products using global ground-based in situ observations},
  author = {{A}lbergel, {C}. and de {R}osnay, {P}. and {G}ruhier, {C}. and {M}unoz-{S}abater, {J}. and {H}asenauer, {S}. and {I}saksen, {L}. and {K}err, {Y}ann and {W}agner, {W}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n situ soil moisture data from more than 200 stations located in {A}frica, {A}ustralia, {E}urope and the {U}nited {S}tates are used to determine the reliability of three soil moisture products, one analysis from the {ECMWF} ({E}uropean {C}entre for {M}edium-{R}ange {W}eather {F}orecasts) numerical weather prediction system ({SM}-{DAS}-2) and two remotely sensed soil moisture products, namely {ASCAT} ({A}dvanced scatterometer) and {SMOS} ({S}oil {M}oisture {O}cean {S}alinity). {SM}-{DAS}-2 is produced offline at {ECMWF} and relies on an advanced surface data assimilation system ({E}xtended {K}alman {F}ilter) used to optimally combine conventional observations with satellite measurements. {ASCAT} remotely sensed surface soil moisture is provided in near real time by {EUMETSAT}. {A}t {ECMWF}, {ASCAT} is used for soil moisture analyses in {SM}-{DAS}-2, also. {F}inally the {SMOS} remotely sensed soil moisture data level two product developed at {CESBIO} is used. {E}valuation of the times series as well as of the anomaly values, shows good performances of the three products to capture surface soil moisture annual cycle and short term variability. {C}orrelations with in situ data are very satisfactory over most of the investigated sites located in contrasted biomes and climate conditions with averaged values of 0.70 for {SM}-{DAS}-2, 0.53 for {ASCAT} and 0.54 for {SMOS}. {A}lthough radio frequency interference disturbs the natural microwave emission of the {E}arth observed by {SMOS} in several parts of the world, hence the soil moisture retrieval, performances of {SMOS} over {A}ustralia are very encouraging.},
  keywords = {{R}emotely sensed surface soil moisture ; {L}and surface data assimilation system ; {I}n situ soil moisture ; {G}lobal ground-based evaluation},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {118},
  numero = {},
  pages = {215--226},
  ISSN = {0034-4257},
  year = {2012},
  DOI = {10.1016/j.rse.2011.11.017},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00008584},
}