A5084513741- Hydrology and Watershed Management Studies
- Climate variability and models
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Water resources management and optimization
- Precipitation Measurement and Analysis
- Geophysics and Gravity Measurements
- Hydrological Forecasting Using AI
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Soil Geostatistics and Mapping
- Meteorological Phenomena and Simulations
- Geochemistry and Geologic Mapping
- Complex Systems and Time Series Analysis
- Environmental and Social Impact Assessments
- Theoretical and Computational Physics
- Climate Change Policy and Economics
- Global Energy and Sustainability Research
- Environmental and Cultural Studies in Latin America and Beyond
- Hydrology and Sediment Transport Processes
- Tropical and Extratropical Cyclones Research
- Process Optimization and Integration
- Reservoir Engineering and Simulation Methods
- Calibration and Measurement Techniques
University of Chile
2020-2024
It has now been almost five years since Grey Nearing and his colleagues published their provocative commentary “What Role Does Hydrological Science Play in the Age of Machine Learning?”. et al. reviewed experiments that use deep learning to simulate time series streamflow, emphasizing results show there is substantially more information large‐domain hydrological data sets than hydrologists have able translate into theory or models. In commentary, encouraged...
Over the past decades, extreme events like floods and droughts have become more frequent intense, future climate change scenarios may worsen this condition. Hence, we examine projected changes in drought characteristics under SSP5-8.5 scenario Cautín river basin, located Araucanía region, Chile. To end, calibrated 20 model structures created with FUSE hydrological modeling platform, using historical daily data available from 1979 to 2014. Runoff projections were generated...
ABSTRACTWe examine the extent to which parameters of different types catchments are sensitive calibration criteria selection (i.e. parameter agreement), and explore possible connections with overall model performance complexity. To this end, we calibrate lumped GR4J, GR5J GR6J hydrological models – coupled CemaNeige snow module in 95 spanning a myriad hydroclimatic physiographic characteristics across Chile, using 12 streamflow-oriented objective functions. The results show that (i) choice...
Abstract. Spatially distributed hydrology and land surface models are typically applied in combination with river routing schemes that convert instantaneous runoff into streamflow. Nevertheless, the development of such has been somehow disconnected from hydrologic model calibration research, although both seek to achieve more realistic streamflow simulations. In this paper, we bridge gap understand extent which configuration affects parameter searches water resources applications. To end,...
Abstract The implementation of elevation bands is a popular strategy to account for topographic heterogeneities in snowpack modeling. Here, we characterize the implications subgrid temperature distribution along through numerical experiments nine mountainous basins Andes Cordillera, central Chile. Specifically, analyze outputs from Variable Infiltration Capacity model with six different setups: no (i.e., flat grid cells; benchmark model) and vertical discretizations 1,000, 750, 500, 200, 100...
Abstract Characterizing climate change impacts on water resources typically relies Global Climate Model (GCM) outputs that are bias‐corrected using observational data sets. In this process, two pivotal decisions (a) the Bias Correction Method (BCM) and (b) how to handle historically observed time series, which can be used as a continuous whole (i.e., without dividing it into sub‐periods), or partitioned monthly, seasonal (e.g., 3 months), any other temporal stratification (TS). Here, we...
Abstract. Hydrological drought is one of the main hydroclimatic hazards worldwide, affecting water availability, ecosystems and socioeconomic activities. This phenomenon commonly characterized by Standardized Streamflow Index (SSI), which widely used because its straightforward formulation calculation. Nevertheless, there limited understanding what SSI actually reveals about how climate anomalies propagate through terrestrial cycle. To find possible explanations, we implemented SUMMA...
Abstract The climate in Continental Chile is marked by strong latitudinal and elevation heterogeneities, exacerbated diverse geographical features, such as the Andes. Despite previous studies projecting warmer dryer conditions for most of territory, there concern about robustness (i.e., level agreement among models) changes projected its magnitude, not only impact indices across this domain but also to identify spatial distribution classes. Hence, we statistically downscaled bias-corrected...
Characterizing climate change impacts on water resources typically relies Global Climate Model (GCM) outputs that are bias-corrected using observational datasets. In this process, two pivotal decisions (i) the Bias Correction Method (BCM) and (ii) how to handle historically observed time series, which can be used as a continuous whole (i.e., without dividing it into sub-periods), or partitioned monthly, seasonal (e.g., three months), any other temporal stratification (TS). Here, we examine...