Predicting streamflow with LSTM networks using global datasets

Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models for rainfall-runoff modeling, opening new possibilities for prediction in ungauged basins (PUB). These studies usually...

Sentinel-1 InSAR Coherence as an Indicator of Monitor Farming Activities

Reliable crop monitoring is paramount to achieve the objectives of the Common Agricultural Policy (CAP) and Food and Agriculture Organization. Synthetic Aperture Radar (SAR) provides high-resolution imaging and all-weather data acquisition capabilities for crop monitoring. This study investigates the sensitivity of parcel-level Sentinel-1...

ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model

The reproducibility of computational hydrology is gaining attention among hydrologists. Reproducibility requires open and reusable code and data, allowing users to verify results and process new datasets. The creation of input files for global hydrological models (GHMs) requires complex high-resolution gridded dataset processing, limiting the...

Potential zones for offshore wind power development in the Gulf of Mexico using reanalyses data and capacity factor seasonal analysis

Mexico is an attractive candidate for offshore wind energy development due to its geographical location with extensive coasts in the Pacific Ocean and Mexico's Gulf. Although potential offshore wind areas have been geographically assessed, an evaluation of the seasonal variations of the capacity factors has not been considered for the...

Global mapping of seaport operability risk indicators using open-source metocean data

Seaport operability is key to the economic viability of ports. Metocean conditions (e.g., wind, short waves, and infragravity waves) affect this operability when certain thresholds are exceeded. This paper describes a method for the global mapping of seaport operability risk indicators using open-source metocean data. This global-scale...

Performance of ERA5 data in retrieving Precipitable Water Vapour over East African tropical region

The accuracy of surface meteorological measurements is vital to derive accurate Global Positioning System (GPS) Precipitable Water Vapour (PWV) data. However, in absence of surface meteorological data, data from Numerical Weather Prediction Models (NWP) are used. The accuracy of these models varies depending on the model, region, season and...

Assessment of wave power stability and classification with two global datasets

Global distribution of the wave climate and energy using a re-analysis dataset provides the opportunity to study spatio-temporal variation of different parameters, and offers inputs for future sustainability plans. The study assesses two global scale products ERA5 and ERA-Interim, evaluating differentiation in wave climate and energy parameters....