Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach
Authors
Keywords
-
Journal
JOURNAL OF HYDROLOGY
Volume 617, Issue -, Pages 128949
Publisher
Elsevier BV
Online
2022-12-16
DOI
10.1016/j.jhydrol.2022.128949
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Rainfall nowcasting model for early warning systems applied to a case over Central Italy
- (2022) Davide Luciano De Luca et al. NATURAL HAZARDS
- A spatiotemporal deep learning model ST-LSTM-SA for hourly rainfall forecasting using radar echo images
- (2022) Jie Liu et al. JOURNAL OF HYDROLOGY
- Spatiotemporal estimation of 6-hour high-resolution precipitation across China based on Himawari-8 using a stacking ensemble machine learning model
- (2022) Siqin Zhou et al. JOURNAL OF HYDROLOGY
- Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning
- (2022) R. O. Imhoff et al. WATER RESOURCES RESEARCH
- The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review
- (2021) Zbyněk Sokol et al. Remote Sensing
- Rainfall forecasting in upper Indus basin using various artificial intelligence techniques
- (2021) Muhammad Hammad et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study of four watersheds with different hydro-climatic regions across the CONUS
- (2021) Taereem Kim et al. JOURNAL OF HYDROLOGY
- Improving precipitation nowcasting using a three-dimensional convolutional neural network model from Multi Parameter Phased Array Weather Radar observations
- (2021) Dong-Kyun Kim et al. ATMOSPHERIC RESEARCH
- Real-time forecasting of river water level in urban based on radar rainfall: A case study in Fuzhou City
- (2021) Yu Liu et al. JOURNAL OF HYDROLOGY
- Skilful precipitation nowcasting using deep generative models of radar
- (2021) Suman Ravuri et al. NATURE
- Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments
- (2021) Xiao Bai et al. PATTERN RECOGNITION
- PredRANN: The spatiotemporal attention Convolution Recurrent Neural Network for precipitation nowcasting
- (2021) Chuyao Luo et al. KNOWLEDGE-BASED SYSTEMS
- Hydrological application of radar rainfall nowcasting in the Netherlands
- (2020) Danny Heuvelink et al. ENVIRONMENT INTERNATIONAL
- Correcting mean areal precipitation forecasts to improve urban flooding predictions by using long short-term memory network
- (2020) Duc Hai Nguyen et al. JOURNAL OF HYDROLOGY
- Use of radar data for characterizing extreme precipitation at fine scales and short durations
- (2020) Katharina Lengfeld et al. Environmental Research Letters
- Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques on 1,533 Events
- (2020) R. O. Imhoff et al. WATER RESOURCES RESEARCH
- Relevance of merging radar and rainfall gauge data for rainfall nowcasting in urban hydrology
- (2020) Bora Shehu et al. JOURNAL OF HYDROLOGY
- Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia
- (2020) Wanie M. Ridwan et al. Ain Shams Engineering Journal
- Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements
- (2019) Arthur Moraux et al. Remote Sensing
- Fuzzy-logic detection and probability of hail exploiting short-range X-band weather radar
- (2018) Vincenzo Capozzi et al. ATMOSPHERIC RESEARCH
- Method for Meteorological Early Warning of Precipitation-Induced Landslides Based on Deep Neural Network
- (2018) Lu Huang et al. NEURAL PROCESSING LETTERS
- Ensembles of radar nowcasts and COSMO-DE-EPS for urban flood management
- (2018) Alrun Jasper-Tönnies et al. WATER SCIENCE AND TECHNOLOGY
- Research on Real-Time Local Rainfall Prediction Based on MEMS Sensors
- (2018) Zeyi Chao et al. Journal of Sensors
- Application of machine learning to an early warning system for very short-term heavy rainfall
- (2018) Seung-Hyun Moon et al. JOURNAL OF HYDROLOGY
- Performance of Met Office hourly cycling NWP-based nowcasting for precipitation forecasts
- (2017) David Simonin et al. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
- A nonlinear spatio-temporal lumping of radar rainfall for modeling multi-step-ahead inflow forecasts by data-driven techniques
- (2016) Fi-John Chang et al. JOURNAL OF HYDROLOGY
- Spatial rainfall prediction using optimal features selection approaches
- (2015) Keyvan Asghari et al. HYDROLOGY RESEARCH
- Spatial rainfall prediction using optimal features selection approaches
- (2015) Keyvan Asghari et al. Hydrology Research
- Regional flood inundation nowcast using hybrid SOM and dynamic neural networks
- (2014) Li-Chiu Chang et al. JOURNAL OF HYDROLOGY
- Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control
- (2014) Fi-John Chang et al. JOURNAL OF HYDROLOGY
- Effective forecasting of hourly typhoon rainfall using support vector machines
- (2009) Gwo-Fong Lin et al. WATER RESOURCES RESEARCH
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started