Articles | Volume 15, issue 6
https://doi.org/10.5194/hess-15-1895-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-1895-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Downscaling of surface moisture flux and precipitation in the Ebro Valley (Spain) using analogues and analogues followed by random forests and multiple linear regression
G. Ibarra-Berastegi
Dept. of Fluid Mechanics and Nuclear Engineering, University of the Basque Country, Spain
J. Saénz
Dept. of Applied Physics II, University of the Basque Country, Spain
A. Ezcurra
Dept. of Applied Physics II, University of the Basque Country, Spain
A. Elías
Dept. of Chemical and Environmental Engineering, University of the Basque Country, Spain
J. Diaz Argandoña
Dept. of Applied Physics I, University of the Basque Country, Spain
I. Errasti
Dept. of Fluid Mechanics and Nuclear Engineering, University of the Basque Country, Spain
Viewed
Total article views: 2,934 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Feb 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,476 | 1,259 | 199 | 2,934 | 163 | 119 |
- HTML: 1,476
- PDF: 1,259
- XML: 199
- Total: 2,934
- BibTeX: 163
- EndNote: 119
Total article views: 2,328 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Jun 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,241 | 936 | 151 | 2,328 | 153 | 110 |
- HTML: 1,241
- PDF: 936
- XML: 151
- Total: 2,328
- BibTeX: 153
- EndNote: 110
Total article views: 606 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Feb 2011)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
235 | 323 | 48 | 606 | 10 | 9 |
- HTML: 235
- PDF: 323
- XML: 48
- Total: 606
- BibTeX: 10
- EndNote: 9
Cited
39 citations as recorded by crossref.
- Spatial Downscaling of Monthly TRMM Precipitation Based on EVI and Other Geospatial Variables Over the Tibetan Plateau From 2001 to 2012 Y. Shi & L. Song 10.1659/MRD-JOURNAL-D-14-00119.1
- Combining random forests and physics-based models to forecast the electricity generated by ocean waves: A case study of the Mutriku wave farm P. Serras et al. 10.1016/j.oceaneng.2019.106314
- Estimation of the rice water footprint based on machine learning algorithms A. Mokhtar et al. 10.1016/j.compag.2021.106501
- A Downscaling–Merging Scheme for Monthly Precipitation Estimation with High Resolution Based on CBAM-ConvLSTM B. Tian et al. 10.3390/rs15184601
- Precipitation scale effect of the TRMM satellite in Tianshan, China S. Ning et al. 10.1007/s11629-022-7714-x
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources H. Tyralis et al. 10.3390/w11050910
- QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests Y. Zhang et al. 10.1029/2022WR032117
- Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
- Temporal changes in the relationship between tree‐ring growth and net primary production in northern Japan: a novel approach to the estimation of seasonal photosynthate allocation to the stem D. Koide & A. Ito 10.1007/s11284-018-1639-4
- Sensitivity Studies for a Hybrid Numerical–Statistical Short-Term Wind and Gust Forecast at Three Locations in the Basque Country (Spain) S. Carreno-Madinabeitia et al. 10.3390/atmos11010045
- Short-term forecasting of the wave energy flux: Analogues, random forests, and physics-based models G. Ibarra-Berastegi et al. 10.1016/j.oceaneng.2015.05.038
- Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula S. González-Rojí et al. 10.1007/s00382-019-04673-9
- Comparison of Annual Moisture Flux Variability during Dry and Wet Years over Iran M. Karimi et al. 10.1134/S0097807822060057
- Projection of spatial and temporal changes of rainfall in Sarawak of Borneo Island using statistical downscaling of CMIP5 models Z. Sa'adi et al. 10.1016/j.atmosres.2017.08.002
- A systematic review of predictor screening methods for downscaling of numerical climate models A. Baghanam et al. 10.1016/j.earscirev.2024.104773
- WRF model performance analysis for a suite of simulation design M. Mohan & A. Sati 10.1016/j.atmosres.2015.10.013
- Spatial downscaling of precipitation using adaptable random forests X. He et al. 10.1002/2016WR019034
- Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling Q. Pham et al. 10.3390/w11030451
- Water Price Prediction for Increasing Market Efficiency Using Random Forest Regression: A Case Study in the Western United States Z. Xu et al. 10.3390/w11020228
- Regionalization of Rainfall Regimes Using Hybrid RF-Bs Couple with Multivariate Approaches M. Ahmad Basri et al. 10.3390/ijgi10100689
- Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin R. Xu et al. 10.1155/2020/8680436
- Analysis of atmospheric thermodynamics using the R package aiRthermo J. Sáenz et al. 10.1016/j.cageo.2018.10.007
- Optimising predictor domains for spatially coherent precipitation downscaling S. Radanovics et al. 10.5194/hess-17-4189-2013
- A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
- An analytical comparison of four approaches to modelling the daily variability of solar irradiance using meteorological records J. Huang et al. 10.1016/j.renene.2014.07.015
- A Nonparametric Statistical Technique for Spatial Downscaling of Precipitation Over High Mountain Asia Y. Mei et al. 10.1029/2020WR027472
- Applying the Kolmogorov–Zurbenko filter followed by random forest models to 7Be observations in Spain (2006–2021) A. Nafarrate et al. 10.1016/j.heliyon.2024.e30820
- Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models R. Costache et al. 10.1016/j.scitotenv.2019.134514
- A Downscaling–Merging Scheme for Improving Daily Spatial Precipitation Estimates Based on Random Forest and Cokriging X. Yan et al. 10.3390/rs13112040
- Event and Catchment Controls of Heavy Tail Behavior of Floods E. Macdonald et al. 10.1029/2021WR031260
- Downscaling future precipitation with shared socioeconomic pathway (SSP) scenarios using machine learning models in the North-Western Himalayan region A. David Raj et al. 10.1007/s40808-024-02113-0
- The Sailor diagram – A new diagram for the verification of two-dimensional vector data from multiple models J. Sáenz et al. 10.5194/gmd-13-3221-2020
- A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions M. Legasa et al. 10.1029/2021WR030272
- Comparison of two analog-based downscaling methods for regional reference evapotranspiration forecasts D. Tian & C. Martinez 10.1016/j.jhydrol.2012.10.009
- An adaptive two-stage analog/regression model for probabilistic prediction of small-scale precipitation in France J. Chardon et al. 10.5194/hess-22-265-2018
- Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models H. Teng et al. 10.1016/j.scitotenv.2018.04.146
- Wave Energy Forecasting at Three Coastal Buoys in the Bay of Biscay G. Ibarra-Berastegi et al. 10.1109/JOE.2016.2529400
- Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation A. Lima et al. 10.1016/j.envsoft.2015.08.002
- A Hybrid Model for Statistical Downscaling of Daily Rainfall S. Pour et al. 10.1016/j.proeng.2016.07.514
37 citations as recorded by crossref.
- Spatial Downscaling of Monthly TRMM Precipitation Based on EVI and Other Geospatial Variables Over the Tibetan Plateau From 2001 to 2012 Y. Shi & L. Song 10.1659/MRD-JOURNAL-D-14-00119.1
- Combining random forests and physics-based models to forecast the electricity generated by ocean waves: A case study of the Mutriku wave farm P. Serras et al. 10.1016/j.oceaneng.2019.106314
- Estimation of the rice water footprint based on machine learning algorithms A. Mokhtar et al. 10.1016/j.compag.2021.106501
- A Downscaling–Merging Scheme for Monthly Precipitation Estimation with High Resolution Based on CBAM-ConvLSTM B. Tian et al. 10.3390/rs15184601
- Precipitation scale effect of the TRMM satellite in Tianshan, China S. Ning et al. 10.1007/s11629-022-7714-x
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources H. Tyralis et al. 10.3390/w11050910
- QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests Y. Zhang et al. 10.1029/2022WR032117
- Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments H. Beck et al. 10.1175/JCLI-D-19-0332.1
- Temporal changes in the relationship between tree‐ring growth and net primary production in northern Japan: a novel approach to the estimation of seasonal photosynthate allocation to the stem D. Koide & A. Ito 10.1007/s11284-018-1639-4
- Sensitivity Studies for a Hybrid Numerical–Statistical Short-Term Wind and Gust Forecast at Three Locations in the Basque Country (Spain) S. Carreno-Madinabeitia et al. 10.3390/atmos11010045
- Short-term forecasting of the wave energy flux: Analogues, random forests, and physics-based models G. Ibarra-Berastegi et al. 10.1016/j.oceaneng.2015.05.038
- Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula S. González-Rojí et al. 10.1007/s00382-019-04673-9
- Comparison of Annual Moisture Flux Variability during Dry and Wet Years over Iran M. Karimi et al. 10.1134/S0097807822060057
- Projection of spatial and temporal changes of rainfall in Sarawak of Borneo Island using statistical downscaling of CMIP5 models Z. Sa'adi et al. 10.1016/j.atmosres.2017.08.002
- A systematic review of predictor screening methods for downscaling of numerical climate models A. Baghanam et al. 10.1016/j.earscirev.2024.104773
- WRF model performance analysis for a suite of simulation design M. Mohan & A. Sati 10.1016/j.atmosres.2015.10.013
- Spatial downscaling of precipitation using adaptable random forests X. He et al. 10.1002/2016WR019034
- Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling Q. Pham et al. 10.3390/w11030451
- Water Price Prediction for Increasing Market Efficiency Using Random Forest Regression: A Case Study in the Western United States Z. Xu et al. 10.3390/w11020228
- Regionalization of Rainfall Regimes Using Hybrid RF-Bs Couple with Multivariate Approaches M. Ahmad Basri et al. 10.3390/ijgi10100689
- Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin R. Xu et al. 10.1155/2020/8680436
- Analysis of atmospheric thermodynamics using the R package aiRthermo J. Sáenz et al. 10.1016/j.cageo.2018.10.007
- Optimising predictor domains for spatially coherent precipitation downscaling S. Radanovics et al. 10.5194/hess-17-4189-2013
- A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
- An analytical comparison of four approaches to modelling the daily variability of solar irradiance using meteorological records J. Huang et al. 10.1016/j.renene.2014.07.015
- A Nonparametric Statistical Technique for Spatial Downscaling of Precipitation Over High Mountain Asia Y. Mei et al. 10.1029/2020WR027472
- Applying the Kolmogorov–Zurbenko filter followed by random forest models to 7Be observations in Spain (2006–2021) A. Nafarrate et al. 10.1016/j.heliyon.2024.e30820
- Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models R. Costache et al. 10.1016/j.scitotenv.2019.134514
- A Downscaling–Merging Scheme for Improving Daily Spatial Precipitation Estimates Based on Random Forest and Cokriging X. Yan et al. 10.3390/rs13112040
- Event and Catchment Controls of Heavy Tail Behavior of Floods E. Macdonald et al. 10.1029/2021WR031260
- Downscaling future precipitation with shared socioeconomic pathway (SSP) scenarios using machine learning models in the North-Western Himalayan region A. David Raj et al. 10.1007/s40808-024-02113-0
- The Sailor diagram – A new diagram for the verification of two-dimensional vector data from multiple models J. Sáenz et al. 10.5194/gmd-13-3221-2020
- A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions M. Legasa et al. 10.1029/2021WR030272
- Comparison of two analog-based downscaling methods for regional reference evapotranspiration forecasts D. Tian & C. Martinez 10.1016/j.jhydrol.2012.10.009
- An adaptive two-stage analog/regression model for probabilistic prediction of small-scale precipitation in France J. Chardon et al. 10.5194/hess-22-265-2018
- Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models H. Teng et al. 10.1016/j.scitotenv.2018.04.146
- Wave Energy Forecasting at Three Coastal Buoys in the Bay of Biscay G. Ibarra-Berastegi et al. 10.1109/JOE.2016.2529400
Saved (final revised paper)
Latest update: 07 Oct 2024