[1]
|
Performance evaluation of climate models in the simulation of precipitation and average temperature in the Brazilian Cerrado
Theoretical and Applied Climatology,
2024
DOI:10.1007/s00704-023-04665-0
|
|
|
[2]
|
Climate Change Flood Risk Analysis: Application of Dynamical Downscaling and Hydrological Modeling
Atmosphere,
2023
DOI:10.3390/atmos14071069
|
|
|
[3]
|
On the performance of conceptual and physically based modelling approach to simulate a headwater catchment in Brazil
Journal of South American Earth Sciences,
2022
DOI:10.1016/j.jsames.2021.103683
|
|
|
[4]
|
Comparative Evaluation of Five Hydrological Models in a Large-Scale and Tropical River Basin
Water,
2022
DOI:10.3390/w14193013
|
|
|
[5]
|
Analysis of hydrological impacts caused by climatic and anthropogenic changes in Upper Grande River Basin, Brazil
Environmental Earth Sciences,
2022
DOI:10.1007/s12665-022-10631-2
|
|
|
[6]
|
On the performance of conceptual and physically based modelling approach to simulate a headwater catchment in Brazil
Journal of South American Earth Sciences,
2022
DOI:10.1016/j.jsames.2021.103683
|
|
|
[7]
|
Analysis of hydrological impacts caused by climatic and anthropogenic changes in Upper Grande River Basin, Brazil
Environmental Earth Sciences,
2022
DOI:10.1007/s12665-022-10631-2
|
|
|
[8]
|
Sensitivity and Performance Analyses of the Distributed Hydrology–Soil–Vegetation Model Using Geomorphons for Landform Mapping
Water,
2021
DOI:10.3390/w13152032
|
|
|
[9]
|
Impactos das Mudanças Climáticas em uma Bacia Hidrográfica no Sul do Estado de Minas Gerais
Revista Brasileira de Meteorologia,
2021
DOI:10.1590/0102-7786360002
|
|
|
[10]
|
Interpolated or satellite-based precipitation? Implications for hydrological modeling in a meso-scale mountainous watershed on the Qinghai-Tibet Plateau
Journal of Hydrology,
2020
DOI:10.1016/j.jhydrol.2020.124629
|
|
|
[11]
|
Scenarios from the Eta Model on quality and hydrological quantity in the Atlantic Forest, Southern Brazil
RBRH,
2019
DOI:10.1590/2318-0331.241920180189
|
|
|
[12]
|
Fuzzy Rules to Help Predict Rains and Temperatures in a Brazilian Capital State Based on Data Collected from Satellites
Applied Sciences,
2019
DOI:10.3390/app9245476
|
|
|