@article{fdi:010092274,
  title = {{E}nhancing environmental models with a new downscaling method for global radiation in complex terrain},
  author = {{D}ruel, {A}. and {R}uffault, {J}. and {D}avi, {H}. and {C}hanzy, {A}. and {M}arloie, {O}. and {D}e {C}áceres, {M}. and {O}lioso, {A}. and {M}ouillot, {F}lorent and {F}ran{\c{c}}ois, {C}. and {S}oudani, {K}. and {M}artin-{S}t{P}aul, {N}. {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobal radiation is a key climate input in process-based models ({PBM}s) for forests, as it determines photosynthesis, transpiration and the canopy energy balance. {W}hile radiation is highly variable at a fine spatial resolution in complex terrain due to shadowing effects, the data required for {PBM}s that are currently available over large extents are generally at a spatial resolution coarser than similar to 9 km. {D}ownscaling large-scale radiation data to the high resolution available from digital elevation models ({DEM}s) is therefore of potential importance to refine global radiation estimates and improve {PBM} estimations. {I}n this study, we introduced a new downscaling model that aims to refine sub-daily global radiation data obtained from climate reanalysis data or projections at large scales to the resolution of a given {DEM}. {F}irst, downscaling involves splitting radiation into a direct and diffuse fraction. {T}he influences of surrounding mountains' shade on direct radiation and the "bowl" (deep valley) effect (or sky-view factor) on diffuse radiation are then considered. {T}he model was evaluated by comparing simulated and observed radiation at the {M}ont {V}entoux study site (southeast of {F}rance) using the recent {ERA}5-{L}and hourly data available at a 9 km resolution as input and downscaled to different spatial resolutions (from 1 km to 30 m resolution) using a {DEM}. {T}he downscaling algorithm improved the reliability of radiation at the study site, in particular at scales below 150 m. {F}inally, by using two different {PBM}s ({CASTANEA}, a {PBM} simulating tree growth, and {S}ur{E}au, a plant hydraulic model simulating hydraulic failure risk), we showed that accounting for fine-resolution radiation can have a great impact on predictions of forest functions.},
  keywords = {{FRANCE} ; {MONT} {VENTOUX}},
  booktitle = {},
  journal = {{B}iogeosciences},
  volume = {22},
  numero = {1},
  pages = {1--18},
  ISSN = {1726-4170},
  year = {2025},
  DOI = {10.5194/bg-22-1-2025},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092274},
}