Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling

Joao Maria de Andrade, Alfredo Ribeiro Neto, Rodolfo Nobrega, Miguel A Rico-Ramirez, Suzana M G L Montenegro

Research output: Contribution to journal › Article (Academic Journal) › peer-review

3 Citations (Scopus)

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© 2024 The Authors

Research Groups and Themes

@article{e83e49daf4a145619deafd4c3505c89a,

title = "Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling",

author = "{Maria de Andrade}, Joao and Neto, {Alfredo Ribeiro} and Rodolfo Nobrega and Rico-Ramirez, {Miguel A} and Montenegro, {Suzana M G L}",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors",

year = "2024",

month = mar,

day = "5",

doi = "10.1016/j.jhydrol.2024.131016",

language = "English",

volume = "633",

journal = "Journal of Hydrology",

issn = "0022-1694",

publisher = "Elsevier",

}

TY - JOUR

T1 - Efficiency of global precipitation datasets in tropical and subtropical catchments revealed by large sampling hydrological modelling

AU - Maria de Andrade, Joao

AU - Neto, Alfredo Ribeiro

AU - Nobrega, Rodolfo

AU - Rico-Ramirez, Miguel A

AU - Montenegro, Suzana M G L

PY - 2024/3/5

Y1 - 2024/3/5

U2 - 10.1016/j.jhydrol.2024.131016

DO - 10.1016/j.jhydrol.2024.131016

M3 - Article (Academic Journal)

SN - 0022-1694

VL - 633

JO - Journal of Hydrology

JF - Journal of Hydrology

M1 - 131016

ER -