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Dataset of "Water partitioning in a Neotropical Savanna forest (Cerrado s.s.): seasonal and non-seasonal responses at different time-scales using adapted versions of the Rutter and the Gash models"
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|Created:||Dec 29, 2021 at 2:49 p.m.|
|Last updated:|| Dec 29, 2021 at 5:29 p.m.
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This is the dataset of Lívia Rosalem, Miriam Gerrits-Coenders, Jamil A. A. Anache, Sayed M. M. Sadeghi, and Edson Wendland to the paper "Water partitioning in a Neotropical Savanna forest (Cerrado s.s.): seasonal and non-seasonal responses at different time-scales using adapted versions of the Rutter and the Gash models", that it will be submitted to the Hydrological Earth System Sciences.
Cerrado is the broadest Savvana ecosystem of South America and has an important role in our global climate. However, how rainfall finds its way through the vegetation layers in undisturbed Cerrado forests is largely unknown. Nonetheless, the interception of rainfall at both the canopy and forest floor can represent a significant amount of total rainfall. Additionally, as vegetation cover and weather changes over the seasons, it is important to consider seasonal differences. However, few studies evaluate how interception models perform at different time scales and study their seasonal response. Hence, this study aimed to evaluate the interception estimates at different time scales, and also the seasonal responses, by two commonly used interception models (Rutter and Gash) adapted to an undisturbed Cerrado s.s. forest including the forest floor interception. Our results show that the models are suitable to estimate throughfall and infiltration on a daily basis, but not the evaporative processes. Though, both models are able to reproduce the total interception well at the monthly scale (R² = 0.7–0.97, NSE = 0.63–0.85). The interception process in Cerrado s.s. forests has a seasonal trend that both models could represent. Nevertheless, the Rutter model seems to perform better when seasonal parameters are used than the Gash model, but both models are equally valuable to inter-annual analysis when non-seasonal parameters are used.
Readme file of the dataset of monitored and modeled results from "Water partitioning in a Neotropical Savanna forest (Cerrado s.s.): seasonal and non-seasonal responses at different time-scales using adapted versions of the Rutter and the Gash models" by Lívia M. P. Rosalem, Miriam Coenders-Gerrits, Jamil. A. A. Anache, Seyed M. M. Sadeghi, and Edson Wendland. The columns are separeted using commas ',' and NaN or empty space is the missing data. The results are presented in "Results_daily.csv" with the following columns: Date : days of monitoring in the study Rain : total daily rain (mm) Tf_obs : Throughfall observed (mm) Ts_obs : Stemflow observed (mm) F_obs : Infiltration observed (mm) Ef_obs : Forest floor evaporation observed (mm) Ec_obs : Canopy evaporation observed (mm) I_obs : Total interception observed (mm) Ep : Potential evaporation estimated (mm) ID : Identification of the event number season : season of the year Tf_mdl_G : Throughfal modeled by Gash model (mm) Ts_mdl_G : Stemflow modeled by Gash model (mm) F_mdl_G : Infiltration modeled by Gash model (mm) Ec_mdl_G : Canopy evaporation modeled by Gash model (mm) Ef_mdl_G : Forest floor evaporation modeled by Gahs model (mm) Et_mdl_G : Trunk evaporation modeled by Gash model (mm) I_mdl_G : Total interception modeled by Gash model (mm) Tf_mdl_R : Throughfal modeled by Rutter model (mm) Ts_mdl_R : Stemflow modeled by Rutter model (mm) F_mdl_R : Infiltration modeled by Rutter model (mm) Ec_mdl_R : Canopy evaporation modeled by Rutter model (mm) Ef_mdl_R : Forest floor evaporation modeled by Rutter model (mm) Et_mdl_R : Trunk evaporation modeled by Rutter model (mm) I_mdl_R : Total interception modeled by Rutter model (mm)
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|São Paulo Research Foundation – FAPESP||Water availability and quality threats in a Guarani Aquifer System outcrop zone||2015/03806-1|
|Coordination of Improvement of Higher Education Personnel – CAPES||CAPES - PRINT||88887.371140/2019-00|
|National Council for Scientific and Technological Development – CNPq||GM/GD-Cotas do Programa de Pós-Graduação and Doutorado Sandwich no Exterior - SWE||165010/2018-5 , 203252/2019-5|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/