Articles | Volume 9, issue 3
https://doi.org/10.5194/hess-9-127-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-9-127-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Empirical Mode Decomposition in 2-D space and time: a tool for space-time rainfall analysis and nowcasting
S. Sinclair
Civil Engineering, University of KwaZulu-Natal, Durban, South Africa
G. G. S. Pegram
Civil Engineering, University of KwaZulu-Natal, Durban, South Africa
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Cited
42 citations as recorded by crossref.
- Empirical mode decomposition using rational splines: an application to rainfall time series G. Pegram et al.
- On the Importance of Statistical Homogeneity to the Scaling of Rain A. Jameson
- An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery F. Wu & L. Qu
- A review on Hilbert‐Huang transform: Method and its applications to geophysical studies N. Huang & Z. Wu
- Current awareness
- Tremor amplitude determination for use in clinical applications P. Slack & X. Ma
- An Investigation of the Short-Term Predictability of Precipitation Using High-Resolution Composite Radar Observations E. Ruzanski & V. Chandrasekar
- Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting P. Das et al.
- Noise reduction in digital speckle pattern interferometry using bidimensional empirical mode decomposition M. Bernini et al.
- TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data Q. Huang et al.
- Skilful nowcasting of extreme precipitation with NowcastNet Y. Zhang et al.
- Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al.
- Scale Filtering for Improved Nowcasting Performance in a High-Resolution X-Band Radar Network E. Ruzanski & V. Chandrasekar
- Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: An empirical examination G. Napolitano et al.
- EMD-RBFNN Coupling Prediction Model of Complex Regional Groundwater Depth Series: A Case Study of the Jiansanjiang Administration of Heilongjiang Land Reclamation in China Q. Fu et al.
- Planetary waves in the upper stratosphere and lower mesosphere during 2009 Arctic major stratospheric warming P. Kishore et al.
- Comparison of lidar- and allometry-derived canopy height models in an eastern deciduous forest F. Sullivan et al.
- Approximate entropy as a nonlinear feature parameter for fault diagnosis in rotating machinery Y. He et al.
- Review on deep learning quantitative precipitation nowcasting: Advances and challenges D. Li et al.
- PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION R. NIAZY et al.
- Two-dimensional EMD with shape-preserving spline interpolation W. Brown & M. van der Walt
- Skilful precipitation nowcasting using deep generative models of radar S. Ravuri et al.
- Learnable Empirical Mode Decomposition based on Mathematical Morphology S. Velasco-Forero et al.
- The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images L. Foresti & A. Seed
- Diagnosis of subharmonic faults of large rotating machinery based on EMD F. Wu & L. Qu
- Using data-derived perturbations to incorporate uncertainty in generating stochastic areal rainfall from point rainfall J. Ndiritu
- A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images W. Dong et al.
- Extracting magnetic anomalies based on an improved BEMD method: A case study in the Pangxidong Area, South China W. Hou et al.
- Empirical Mode Decomposition on the sphere: application to the spatial scales of surface temperature variations N. Fauchereau et al.
- Climatic forcing on hydrography of a Mediterranean bay (Alfacs Bay) J. Solé et al.
- Empirical mode decomposition and long-range correlation analysis of sunspot time series Y. Zhou & Y. Leung
- Enhancement of Satellite Precipitation Estimations with Bias Correction and Data-Merging Schemes for Flood Forecasting E. Soo et al.
- Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI L. Glawion et al.
- Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran S. Esmaeiloghli et al.
- Radar rainfall: Separating signal and noise fields to generate meaningful ensembles G. Pegram et al.
- MODWT-ARMA model for time series prediction L. Zhu et al.
- An Effective EMD-Based Feature Extraction Method for Boring Chatter Recognition X. Li et al.
- Deep learning model based on multi-scale feature fusion for precipitation nowcasting J. Tan et al.
- Assessing the performance of rational spline-based empirical mode decomposition using a global annual precipitation dataset M. Peel et al.
- A formal study of the nonlinearity and consistency of the Empirical Mode Decomposition N. Tsakalozos et al.
- Dim target detection and tracking based on empirical mode decomposition H. Li et al.
- Separating the gravity field of Iraq by using bidimensional empirical mode decomposition technique A. Al-Rahim
42 citations as recorded by crossref.
- Empirical mode decomposition using rational splines: an application to rainfall time series G. Pegram et al.
- On the Importance of Statistical Homogeneity to the Scaling of Rain A. Jameson
- An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery F. Wu & L. Qu
- A review on Hilbert‐Huang transform: Method and its applications to geophysical studies N. Huang & Z. Wu
- Current awareness
- Tremor amplitude determination for use in clinical applications P. Slack & X. Ma
- An Investigation of the Short-Term Predictability of Precipitation Using High-Resolution Composite Radar Observations E. Ruzanski & V. Chandrasekar
- Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting P. Das et al.
- Noise reduction in digital speckle pattern interferometry using bidimensional empirical mode decomposition M. Bernini et al.
- TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data Q. Huang et al.
- Skilful nowcasting of extreme precipitation with NowcastNet Y. Zhang et al.
- Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al.
- Scale Filtering for Improved Nowcasting Performance in a High-Resolution X-Band Radar Network E. Ruzanski & V. Chandrasekar
- Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: An empirical examination G. Napolitano et al.
- EMD-RBFNN Coupling Prediction Model of Complex Regional Groundwater Depth Series: A Case Study of the Jiansanjiang Administration of Heilongjiang Land Reclamation in China Q. Fu et al.
- Planetary waves in the upper stratosphere and lower mesosphere during 2009 Arctic major stratospheric warming P. Kishore et al.
- Comparison of lidar- and allometry-derived canopy height models in an eastern deciduous forest F. Sullivan et al.
- Approximate entropy as a nonlinear feature parameter for fault diagnosis in rotating machinery Y. He et al.
- Review on deep learning quantitative precipitation nowcasting: Advances and challenges D. Li et al.
- PERFORMANCE EVALUATION OF ENSEMBLE EMPIRICAL MODE DECOMPOSITION R. NIAZY et al.
- Two-dimensional EMD with shape-preserving spline interpolation W. Brown & M. van der Walt
- Skilful precipitation nowcasting using deep generative models of radar S. Ravuri et al.
- Learnable Empirical Mode Decomposition based on Mathematical Morphology S. Velasco-Forero et al.
- The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images L. Foresti & A. Seed
- Diagnosis of subharmonic faults of large rotating machinery based on EMD F. Wu & L. Qu
- Using data-derived perturbations to incorporate uncertainty in generating stochastic areal rainfall from point rainfall J. Ndiritu
- A Bidimensional Empirical Mode Decomposition Method for Fusion of Multispectral and Panchromatic Remote Sensing Images W. Dong et al.
- Extracting magnetic anomalies based on an improved BEMD method: A case study in the Pangxidong Area, South China W. Hou et al.
- Empirical Mode Decomposition on the sphere: application to the spatial scales of surface temperature variations N. Fauchereau et al.
- Climatic forcing on hydrography of a Mediterranean bay (Alfacs Bay) J. Solé et al.
- Empirical mode decomposition and long-range correlation analysis of sunspot time series Y. Zhou & Y. Leung
- Enhancement of Satellite Precipitation Estimations with Bias Correction and Data-Merging Schemes for Flood Forecasting E. Soo et al.
- Global spatio-temporal ERA5 precipitation downscaling to km and sub-hourly scale using generative AI L. Glawion et al.
- Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran S. Esmaeiloghli et al.
- Radar rainfall: Separating signal and noise fields to generate meaningful ensembles G. Pegram et al.
- MODWT-ARMA model for time series prediction L. Zhu et al.
- An Effective EMD-Based Feature Extraction Method for Boring Chatter Recognition X. Li et al.
- Deep learning model based on multi-scale feature fusion for precipitation nowcasting J. Tan et al.
- Assessing the performance of rational spline-based empirical mode decomposition using a global annual precipitation dataset M. Peel et al.
- A formal study of the nonlinearity and consistency of the Empirical Mode Decomposition N. Tsakalozos et al.
- Dim target detection and tracking based on empirical mode decomposition H. Li et al.
- Separating the gravity field of Iraq by using bidimensional empirical mode decomposition technique A. Al-Rahim
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