120 citations · 228 across the 14 of their papers we have counts for
5 papers · 1 filter
High-resolution rainfall-runoff modeling using graph neural network
Zhongrun Xiang, Ibrahim Demir
Time-series modeling has shown great promise in recent studies using the latest deep learning algorithms such as LSTM (Long Short-Term Memory). These studies primarily focused on w…
DEM Super-Resolution with EfficientNetV2
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir
Efficient climate change monitoring and modeling rely on high-quality geospatial and environmental datasets. Due to limitations in technical capabilities or resources, the acquisit…
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs
Muhammed Sit, Bong-Chul Seo, Ibrahim Demir
The temporal and spatial resolution of rainfall data is crucial for environmental modeling studies in which its variability in space and time is considered as a primary factor. Rai…
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks
Muhammed Sit, Bekir Demiray, Ibrahim Demir
The frequency and impact of floods are expected to increase due to climate change. It is crucial to predict streamflow, consequently flooding, in order to prepare and mitigate its…
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
Muhammed Sit, Bong-Chul Seo, Ibrahim Demir
Effective environmental planning and management to address climate change could be achieved through extensive environmental modeling with machine learning and conventional physical…