@article{fdi:010093386,
  title = {{A} comprehensive land-surface vegetation model for multi-stream data assimilation, {D}&{B} v1.0},
  author = {{K}norr, {W}. and {W}illiams, {M}. and {T}hum, {T}. and {K}aminski, {T}. and {V}ossbeck, {M}. and {S}cholze, {M}. and {Q}uaife, {T}. and {S}mallman, {T}. {L}. and {S}teele-{D}unne, {S}. {C}. and {V}reugdenhil, {M}. and {G}reen, {T}. and {Z}aehle, {S}. and {A}urela, {M}. and {B}ouvet, {A}lexandre and {B}ueechi, {E}. and {D}origo, {W}. and {E}l-{M}adany, {T}. {S}. and {M}igliavacca, {M}. and {H}onkanen, {M}. and {K}err, {Y}. {H}. and {K}ontu, {A}. and {L}emmetyinen, {J}. and {L}indqvist, {H}. and {M}ialon, {A}. and {M}iinalainen, {T}. and {P}ique, {G}. and {O}jasalo, {A}. and {Q}uegan, {S}. and {R}ayner, {P}. {J}. and {R}eyes-{M}uñoz, {P}. and {R}odríguez-{F}ernández, {N}. and {S}chwank, {M}. and {V}errelst, {J}. and {Z}hu, {S}. {Y}. and {S}chuettemeyer, {D}. and {D}rusch, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}dvances in {E}arth observation capabilities mean that there is now a multitude of spatially resolved data sets available that can support the quantification of water and carbon pools and fluxes at the land surface. {H}owever, such quantification ideally requires efficient synergistic exploitation of those data, which in turn requires carbon and water land-surface models with the capability to simultaneously assimilate several such data streams. {T}he present article discusses the requirements for such a model and presents one such model based on the combination of the existing {D}ata {A}ssimilation {L}inked {E}cosystem {C}arbon ({DALEC}) land vegetation carbon cycle model with the {B}iosphere {E}nergy-{T}ransfer {HY}drology ({BETHY}) land-surface and terrestrial vegetation scheme. {T}he resulting {D}&{B} model, made available as a community model, is presented together with a comprehensive evaluation for two selected study sites of widely varying climate. {W}e then demonstrate the concept of land-surface modelling aided by data streams that are available from satellite remote sensing. {H}ere we present {D}&{B} with four observation operators that translate model-derived variables into measurements available from such data streams, namely fraction of photosynthetically active radiation ({FAPAR}), solar-induced chlorophyll fluorescence ({SIF}), vegetation optical depth ({VOD}) at microwave frequencies and near-surface soil moisture (also available from microwave measurements). {A}s a first step, we evaluate the combined model system using local observations and finally discuss the potential of the system presented for multi-stream data assimilation in the context of {E}arth observation systems.},
  keywords = {},
  booktitle = {},
  journal = {{G}eoscientific {M}odel {D}evelopment},
  volume = {18},
  numero = {7},
  pages = {2137--2159},
  ISSN = {1991-959{X}},
  year = {2025},
  DOI = {10.5194/gmd-18-2137-2025},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093386},
}