License

Software

RUBEM is licensed under the GNU General Public License, Version 3.0 or later.

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 1, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston MA 02110-1301 USA.

Documentation

This documentation is licensed under the GNU Free Documentation License, Version 1.3 or later.

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled “GNU Free Documentation License”.

Citation

Please consider citing the following paper when using Rainfall rUnoff Balance Enhanced Model (RUBEM):

@Article{w14121958,
     AUTHOR = {Méllo Júnior, Arisvaldo Vieira and Olivos, Lina Maria Osorio and Billerbeck, Camila and Marcellini, Silvana Susko and Vichete, William Dantas and Pasetti, Daniel Manabe and da Silva, Ligia Monteiro and Soares, Gabriel Anísio dos Santos and Tercini, João Rafael Bergamaschi},
     TITLE = {Rainfall Runoff Balance Enhanced Model Applied to Tropical Hydrology},
     JOURNAL = {Water},
     VOLUME = {14},
     YEAR = {2022},
     NUMBER = {12},
     ARTICLE-NUMBER = {1958},
     URL = {https://www.mdpi.com/2073-4441/14/12/1958},
     ISSN = {2073-4441},
     ABSTRACT = {The integrative and comprehensive analysis considering the spatial and temporal representation of the hydrological process, such as the distribution of rainfall, land cover and land use, is a challenge for the water resources management. In tropical areas, energy availability throughout the year defines the rainfall distribution and evapotranspiration rate according to vegetation heterogeneity. To quantify water balance in tropical areas including these heterogeneities in the soil-vegetation-atmosphere relationship, we developed a fully distributed hydrological model called the Rainfall Runoff Balance Enhanced Model (RUBEM). The model was developed under a physics-based process structure, using remote sensing data to represent soil-water balance patterns, such as evapotranspiration, interception, baseflow, lateral flow, recharge, and runoff. The calibration procedure was based on nine global parameters. RUBEM could represent the spatio-temporal heterogeneities (soil, land use and land cover (LULC), topography, vegetation, and climate) in three basins in a tropical area. The results showed good adherence between the processes governing the soil-vegetation-atmosphere relationship according to the humidity indicator and the runoff coefficient. Overall, RUBEM can be used to help improve the management and planning of integrated water resources under climate, land use, and land cover changes in tropical regions.},
     DOI = {10.3390/w14121958}
}

Please consider citing the datasets when using them:

@Dataset{hs6f3670b,
     DOI = {10.4211/hs.6f3670b8cd944e7ea72e03d1b9ca928f},
     URL = {https://doi.org/10.4211/hs.6f3670b8cd944e7ea72e03d1b9ca928f},
     PUBLISHER = {Consortium of Universities for the Advancement of Hydrologic Science,  Inc. ({CUAHSI})},
     TITLE = {Rainfall-Runoff Balance Enhanced Model Applied to Tropical Hydrology},
     AUTHOR = {Méllo Júnior, Arisvaldo Vieira and Olivos, Lina Maria Osorio and Billerbeck, Camila and Marcellini, Silvana Susko and Vichete, William Dantas and Pasetti, Daniel Manabe and da Silva, Ligia Monteiro and Soares, Gabriel Anísio dos Santos and Tercini, João Rafael Bergamaschi},
     MONTH = {oct},
     YEAR = {2021}
}