Articles | Volume 5, issue 2
https://doi.org/10.5194/hess-5-139-2001
© Author(s) 2001. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Special issue:
https://doi.org/10.5194/hess-5-139-2001
© Author(s) 2001. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
30 Jun 2001
Stochastic rainfall interpolation and downscaling
L. G. Lanza
University of Genova, Dept. of Environmental Engineering, 1 Montallegro, 16145 Genova, Italy. Email: luca@diam.unige.it
J. A. Ramírez
Water Resources and Hydrologic Sciences Civil Engineering Dept., Colorado State University, Fort Collins, C0 80523-1272, USA. EmailL ramirez@engr.ColoState.Edu
E. Todini
Dept of Earth and Geo-Environmental Sciences, University of Bologna, Via Zambone, 67 40127 Bologna, Italy. Email: todini@geomin.unibo.it.
Viewed
Total article views: 2,183 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 947 | 1,149 | 87 | 2,183 | 88 | 68 |
- HTML: 947
- PDF: 1,149
- XML: 87
- Total: 2,183
- BibTeX: 88
- EndNote: 68
Cited
33 citations as recorded by crossref.
- Can satellite based pattern-oriented memory improve the interpolation of sparse historical rainfall records? J. Matos et al. 10.1016/j.jhydrol.2013.04.014
- Land cover, lightning frequency, and turbulent fluxes over Southern Louisiana N. Sokol & R. Rohli 10.1016/j.apgeog.2017.11.003
- Intra- and inter-annual variations in snow–water storage in data sparse desert–mountain regions assessed from remote sensing M. Matin & C. Bourque 10.1016/j.rse.2013.07.033
- Spatial Interpolation Techniques to Map Rainfall in Southeast Brazil L. Aparecido et al. 10.1590/0102-77863710015
- Correction and Informed Regionalization of Precipitation Data in a High Mountainous Region (Upper Indus Basin) and Its Effect on SWAT-Modelled Discharge A. Khan & M. Koch 10.3390/w10111557
- Statistical analysis of rainfall intermittency at small spatial and temporal scales M. Schleiss et al. 10.1029/2011GL049000
- Spatial interpolation schemes of daily precipitation for hydrologic modeling Y. Hwang et al. 10.1007/s00477-011-0509-1
- On the uncertainties in validating satellite instantaneous rainfall estimates with raingauge operational network F. Porcù et al. 10.1016/j.atmosres.2013.12.007
- Probabilistic and Ensemble Representations of the Uncertainty in an IR/Microwave Satellite Precipitation Product T. Bellerby & J. Sun 10.1175/JHM454.1
- Current Awareness 10.1002/hyp.538
- Value of different precipitation data for flood prediction in an alpine catchment: A Bayesian approach A. Sikorska & J. Seibert 10.1016/j.jhydrol.2016.06.031
- Estimates of the statistical two-dimensional spatial structure in rain over a small network of disdrometers A. Jameson & M. Larsen 10.1007/s00703-016-0438-0
- An assessment of statistical interpolation methods suited for gridded rainfall datasets Y. Liu et al. 10.1002/joc.7389
- A space and time scale‐dependent nonlinear geostatistical approach for downscaling daily precipitation and temperature S. Jha et al. 10.1002/2014WR016729
- Modeling methane emissions from irrigated rice cultivation in China from 1960 to 2050 W. Zhang et al. 10.1111/j.1365-2486.2011.02495.x
- Prediction of CH4 emissions from potential natural wetlands on the Tibetan Plateau during the 21st century T. Li et al. 10.1016/j.scitotenv.2018.11.275
- Comparison of Daily Rainfall Interpolation Techniques and Development of Two Step Technique for Rainfall-Runoff Modeling Y. Hwang et al. 10.3741/JKWRA.2010.43.12.1083
- Demonstrating the value of community-based (‘citizen science’) observations for catchment modelling and characterisation E. Starkey et al. 10.1016/j.jhydrol.2017.03.019
- FC-ZSM: Spatiotemporal Downscaling of Rain Radar Data Using a Feature Constrained Zooming Slow-Mo Network H. Chen et al. 10.3389/feart.2022.887842
- Seasonal precipitation interpolation at the Valencia region with multivariate methods using geographic and topographic information C. Portalés et al. 10.1002/joc.1988
- Isotropic and anisotropic kriging approaches for interpolating surface-level wind speeds across large, geographically diverse regions C. Friedland et al. 10.1080/19475705.2016.1185749
- Generation of a long-term daily gridded precipitation dataset for the Upper Indus Basin (UIB) through temporal Reconstruction, Correction & Informed Regionalization-“ReCIR” A. Khan & M. Koch 10.1016/j.iswcr.2021.01.005
- Research Activity on Statistical Downscaling for Precipitation A. Tiberiu 10.2139/ssrn.1370912
- Temporal Downscaling of Daily Gauged Precipitation by Application of a Satellite Product for Flood Simulation in a Poorly Gauged Basin and Its Evaluation with Multiple Regression Analysis M. Ryo et al. 10.1175/JHM-D-13-052.1
- Does Quantification of Ecosystem Services Depend Upon Scale (Resolution and Extent)? A Case Study Using the InVEST Nutrient Delivery Ratio Model in Georgia, United States F. Benez-Secanho & P. Dwivedi 10.3390/environments6050052
- Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium S. Ly et al. 10.5194/hess-15-2259-2011
- Comparison of Interpolation Methods for Spatial Distribution of Monthly Precipitation in the State of Pernambuco, Brazil A. da Silva et al. 10.1061/(ASCE)HE.1943-5584.0001743
- Statistically combining rainfall characteristics estimated from remote‐sensed and rain gauge data sets in the Brazilian Amazon‐Tocantins Basins R. Clarke & D. Buarque 10.1002/jgrd.50545
- Temporal downscaling rainfall and streamflow records through a deterministic fractal geometric approach M. Maskey et al. 10.1016/j.jhydrol.2018.09.014
- A new spatial precipitation interpolation method based on the information diffusion principle H. Huang et al. 10.1007/s00477-019-01658-2
- Spatial correlation of radar and gauge precipitation data in high temporal resolution J. Brommundt & A. Bárdossy 10.5194/adgeo-10-103-2007
- Geographical Information Systems and Geostatistics for Modelling Radioactively Contaminated Land Areas N. DIODATO & M. CECCARELLI 10.1007/s11069-004-5206-7
- Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil P. Borges et al. 10.1007/s00704-014-1359-9
Latest update: 17 Apr 2024
Special issue