Articles | Volume 14, issue 4
https://doi.org/10.5194/amt-14-3169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-3169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Apr 2021
Research article |
| 29 Apr 2021
| 29 Apr 2021
RainForest: a random forest algorithm for quantitative precipitation estimation over Switzerland
Daniel Wolfensberger
LTE, Ecole polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
MeteoSwiss, via ai Monti 146, Locarno, Switzerland
Marco Gabella
MeteoSwiss, via ai Monti 146, Locarno, Switzerland
Marco Boscacci
MeteoSwiss, via ai Monti 146, Locarno, Switzerland
Urs Germann
MeteoSwiss, via ai Monti 146, Locarno, Switzerland
LTE, Ecole polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland
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Cited
49 citations as recorded by crossref.
- Radar Quantitative Precipitation Estimation (QPE) Calibration Methods: A Systematic Literature Review N. Osman & W. Tahir
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- A comprehensive review of machine learning and deep learning approaches for rainfall forecasting: current progress, challenges, and future directions J. Senjaliya et al.
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- An explainable two-stage machine learning approach for precipitation forecast A. Senocak et al.
- A Comprehensive Overview of the Hydrochemical Characteristics of Precipitation across the Middle East M. Heydarizad et al.
- Polarimetric Radar Quantitative Precipitation Estimation A. Ryzhkov et al.
- Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges Z. Zhang et al.
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- Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities K. Kumah et al.
- Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements J. Song et al.
- Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas A. Kashyap et al.
- SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation Y. Liu et al.
- A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF Y. Zhang et al.
- Weather Radar in Complex Orography U. Germann et al.
- A comparison of five models in predicting surface dead fine fuel moisture content of typical forests in Northeast China J. Fan et al.
- Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities K. Kumah et al.
- A new approach for quantitative precipitation estimation from radar reflectivity using a gated recurrent unit network T. Dinh et al.
- Hybrid RF–ConvLSTM Approach for Rainfall Estimation from MSG Data over Northern Algeria F. Ouallouche et al.
- A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm J. Zhao et al.
- Calibration of X-Band Radar for Extreme Events in a Spatially Complex Precipitation Region in North Peru: Machine Learning vs. Empirical Approach R. Rollenbeck et al.
- Quality Index-Driven Radar Mosaicking and Machine Learning for Enhanced Rainfall Estimation in the Chao Phraya River Basin and Its Tributaries in Thailand N. Mahavik et al.
- A Geostationary Satellite Precipitation Estimation Machine Learning Model With Dynamic Sample Balancing for Fengyun-4B H. Sai et al.
- Interpretable machine-learning intensity-duration-frequency (IDF) surface modeling in a data-scarce Ethiopian Rift Valley Lake Basin A. Tesfaye et al.
- Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model B. Hu et al.
- Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data H. Zou et al.
- Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion M. Nasimi et al.
- Weight-optimized fusion of satellite precipitation over the Qinghai-Tibet Plateau: Comparison of machine learning approaches L. Zhou et al.
- The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al.
- Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China J. Dong et al.
- Hybrid physically based and machine learning model to enhance high streamflow prediction S. López-Chacón et al.
- Research on Water Resource Modeling Based on Machine Learning Technologies Z. Liu et al.
- Application of Machine Learning Techniques to Improve Multi-Radar Mosaic Precipitation Estimates in Shanghai R. Wang et al.
- Intercomparison of Deep Learning Architectures for the Prediction of Precipitation Fields With a Focus on Extremes N. Otero & P. Horton
- Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al.
- Assessing Machine Learning Models for Gap Filling Daily Rainfall Series in a Semiarid Region of Spain J. Bellido-Jiménez et al.
- A High-Resolution Daily Precipitation Fusion Framework Integrating Radar, Satellite, and NWP Data Using Machine Learning over South Korea H. Park et al.
- Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials Y. Qiu et al.
- The effect of altitude on the uncertainty of radar-based precipitation estimates over Switzerland E. Ghaemi et al.
- Improving prediction of short-duration heavy rainfall in Guangxi, China during the pre-summer rainy season based on Fengyun-4A lightning frequency and a machine learning algorithm W. Huang et al.
- Robust Rainfall Gap-Filling in Coastal Arid Regions Using Ensemble Fusion Models B. Al-Jahwari et al.
- Remote sensing and machine learning method to support sea surface pCO2 estimation in the Yellow Sea W. Li et al.
- Projection of future water availability in the Amu Darya Basin O. Salehie et al.
- Parks Under Stress: Air Temperature Regulation of Urban Green Spaces Under Conditions of Drought and Summer Heat R. Kraemer & N. Kabisch
- Land surface temperature, tropospheric and ionospheric anomalies analysis and implementation of a co-seismic PWV digital twin for the February 6, 2023 Turkey earthquake A. Guo et al.
- Hybrid EMD-RF Model for Predicting Annual Rainfall in Kerala, India A. Jayasree et al.
49 citations as recorded by crossref.
- Radar Quantitative Precipitation Estimation (QPE) Calibration Methods: A Systematic Literature Review N. Osman & W. Tahir
- Data fusion of satellite imagery and downscaling for generating highly fine-scale precipitation X. Zhang et al.
- A comprehensive review of machine learning and deep learning approaches for rainfall forecasting: current progress, challenges, and future directions J. Senjaliya et al.
- Enhancing monthly precipitation forecasting by integrating multi-source data with machine learning models: a study in the Upper Blue Nile Basin J. Mohammed et al.
- Quantitative Precipitation Estimation Using Weather Radar Data and Machine Learning Algorithms for the Southern Region of Brazil F. Verdelho et al.
- An explainable two-stage machine learning approach for precipitation forecast A. Senocak et al.
- A Comprehensive Overview of the Hydrochemical Characteristics of Precipitation across the Middle East M. Heydarizad et al.
- Polarimetric Radar Quantitative Precipitation Estimation A. Ryzhkov et al.
- Dual-Polarization Radar Quantitative Precipitation Estimation (QPE): Principles, Operations, and Challenges Z. Zhang et al.
- Evaluating Linear Scaling and Random Forest Bias Correction of GPM-IMERG V7 Rainfall in Moluccas Islands Watersheds H. Tuasikal et al.
- Improving Hourly Precipitation Estimates for Flash Flood Modeling in Data-Scarce Andean-Amazon Basins: An Integrative Framework Based on Machine Learning and Multiple Remotely Sensed Data J. Chancay & E. Espitia-Sarmiento
- Spatial variability and relative influence of seasonal rainfall drivers in Ethiopia E. Zeleke et al.
- Near Real-Time Estimation of High Spatiotemporal Resolution Rainfall from Cloud Top Properties of the Msg Satellite and Commercial Microwave Link Rainfall Intensities K. Kumah et al.
- Estimation of Precipitation Area Using S-Band Dual-Polarization Radar Measurements J. Song et al.
- Geomorphic imprint of high-mountain floods: insights from the 2022 hydrological extreme across the upper Indus River catchment in the northwestern Himalayas A. Kashyap et al.
- SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation Y. Liu et al.
- A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF Y. Zhang et al.
- Weather Radar in Complex Orography U. Germann et al.
- A comparison of five models in predicting surface dead fine fuel moisture content of typical forests in Northeast China J. Fan et al.
- Near real-time estimation of high spatiotemporal resolution rainfall from cloud top properties of the MSG satellite and commercial microwave link rainfall intensities K. Kumah et al.
- A new approach for quantitative precipitation estimation from radar reflectivity using a gated recurrent unit network T. Dinh et al.
- Hybrid RF–ConvLSTM Approach for Rainfall Estimation from MSG Data over Northern Algeria F. Ouallouche et al.
- A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm J. Zhao et al.
- Calibration of X-Band Radar for Extreme Events in a Spatially Complex Precipitation Region in North Peru: Machine Learning vs. Empirical Approach R. Rollenbeck et al.
- Quality Index-Driven Radar Mosaicking and Machine Learning for Enhanced Rainfall Estimation in the Chao Phraya River Basin and Its Tributaries in Thailand N. Mahavik et al.
- A Geostationary Satellite Precipitation Estimation Machine Learning Model With Dynamic Sample Balancing for Fengyun-4B H. Sai et al.
- Interpretable machine-learning intensity-duration-frequency (IDF) surface modeling in a data-scarce Ethiopian Rift Valley Lake Basin A. Tesfaye et al.
- Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model B. Hu et al.
- Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data H. Zou et al.
- Gridded precipitation and temperature products performance over Afghanistan: from simple bias correction to advanced data fusion M. Nasimi et al.
- Weight-optimized fusion of satellite precipitation over the Qinghai-Tibet Plateau: Comparison of machine learning approaches L. Zhou et al.
- The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al.
- Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China J. Dong et al.
- Hybrid physically based and machine learning model to enhance high streamflow prediction S. López-Chacón et al.
- Research on Water Resource Modeling Based on Machine Learning Technologies Z. Liu et al.
- Application of Machine Learning Techniques to Improve Multi-Radar Mosaic Precipitation Estimates in Shanghai R. Wang et al.
- Intercomparison of Deep Learning Architectures for the Prediction of Precipitation Fields With a Focus on Extremes N. Otero & P. Horton
- Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al.
- Assessing Machine Learning Models for Gap Filling Daily Rainfall Series in a Semiarid Region of Spain J. Bellido-Jiménez et al.
- A High-Resolution Daily Precipitation Fusion Framework Integrating Radar, Satellite, and NWP Data Using Machine Learning over South Korea H. Park et al.
- Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials Y. Qiu et al.
- The effect of altitude on the uncertainty of radar-based precipitation estimates over Switzerland E. Ghaemi et al.
- Improving prediction of short-duration heavy rainfall in Guangxi, China during the pre-summer rainy season based on Fengyun-4A lightning frequency and a machine learning algorithm W. Huang et al.
- Robust Rainfall Gap-Filling in Coastal Arid Regions Using Ensemble Fusion Models B. Al-Jahwari et al.
- Remote sensing and machine learning method to support sea surface pCO2 estimation in the Yellow Sea W. Li et al.
- Projection of future water availability in the Amu Darya Basin O. Salehie et al.
- Parks Under Stress: Air Temperature Regulation of Urban Green Spaces Under Conditions of Drought and Summer Heat R. Kraemer & N. Kabisch
- Land surface temperature, tropospheric and ionospheric anomalies analysis and implementation of a co-seismic PWV digital twin for the February 6, 2023 Turkey earthquake A. Guo et al.
- Hybrid EMD-RF Model for Predicting Annual Rainfall in Kerala, India A. Jayasree et al.
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
In this work, we present a novel quantitative precipitation estimation method for Switzerland that uses random forests, an ensemble-based machine learning technique. The estimator has been trained with a database of 4 years of ground and radar observations. The results of an in-depth evaluation indicate that, compared with the more classical method in use at MeteoSwiss, this novel estimator is able to reduce both the average error and bias of the predictions.
In this work, we present a novel quantitative precipitation estimation method for Switzerland...
