@article{fdi:010069485,
  title = {{A}djustment of global precipitation data for enhanced hydrologic modeling of tropical {A}ndean watersheds},
  author = {{S}trauch, {M}. and {K}umar, {R}. and {E}isner, {S}. and {M}ulligan, {M}. and {R}einhardt, {J}. and {S}antini, {W}illiam and {V}etter, {T}. and {F}riesen, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{G}lobal gridded precipitation is an essential driving input for hydrologic models to simulate runoff dynamics in large river basins. {H}owever, the data often fail to adequately represent precipitation variability in mountainous regions due to orographic effects and sparse and highly uncertain gauge data. {W}ater balance simulations in tropical montane regions covered by cloud forests are especially challenging because of the additional water input from cloud water interception. {T}he {ISI}-{MIP}2 hydrologic model ensemble encountered these problems for {A}ndean sub-basins of the {U}pper {A}mazon {B}asin, where all models significantly underestimated observed runoff. {I}n this paper, we propose simple yet plausible ways to adjust global precipitation data provided by {WFDEI}, the {WATCH} {F}orcing {D}ata methodology applied to {ERA}-{I}nterim reanalysis, for tropical montane watersheds. {T}he modifications were based on plausible reasoning and freely available tropics-wide data: (i) a high-resolution climatology of the {T}ropical {R}ainfall {M}easuring {M}ission ({TRMM}) and (ii) the percentage of tropical montane cloud forest cover. {U}sing the modified precipitation data, runoff predictions significantly improved for all hydrologic models considered. {T}he precipitation adjustment methods presented here have the potential to enhance other global precipitation products for hydrologic model applications in the {U}pper {A}mazon {B}asin as well as in other tropical montane watersheds.},
  keywords = {{PEROU} ; {EQUATEUR} ; {BRESIL} ; {ANDES} ; {AMAZONE} {BASSIN} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{C}limatic {C}hange},
  volume = {141},
  numero = {3},
  pages = {547--560},
  ISSN = {0165-0009},
  year = {2017},
  DOI = {10.1007/s10584-016-1706-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010069485},
}