A nonparametric model for stochastic generation of daily rainfall occurrence
By T. Harrold, Ashish Sharma, Simon J. Sheather. 2003
97 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/299df068a41bcfeca2d495401cf5c3a35854b930
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Demetris Koutsoyiannis
- Rajeshwar Mehrotra
- Yakov A. Pachepsky
- Walter J. Rawls
- Attila Nemes
- A. Buishand
- J. Beersma
- Ashish Sharma
In Global and Planetary Change
- Rajeshwar Mehrotra
- Ashish Sharma
- Balaji Rajagopalan
- Demetris Koutsoyiannis
- Yakov A. Pachepsky
- Walter J. Rawls
- Attila Nemes
- E. Zagona
Citations in the corpus
- Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties (2006, methodology): “For a more thorough description on NNets, we refer the reader to Hecht-Nielsen (1990) or Haykin (1994).”
- Joint probability of precipitation and discharge deficits in the Netherlands (2004, background): “The latter is necessary to reproduce longer-term variability [e.g., Harrold et al., 2003a, 2003b].”
- Estimation of Extreme Floods of the River Meuse Using a Stockastic Weather Generator and a Rainfall-Runoff Model (2005, background): “The third element was included to improve the reproduction of the autocorrelation of daily rainfall and the standard deviation of monthly totals (Harrold et al., 2003).”
- An entropic‐stochastic representation of rainfall intermittency: The origin of clustering and persistence (2006, methodology): “Similarly, one could use a discrete wetness index based on the number of previous wet intervals [Harrold et al., 2003].”
- Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach (2006, methodology): “The reciprocal of the sample standard deviation of each predictor variable is a common choice for the scaling weights [Lall and Sharma, 1996; Rajagopalan and Lall, 1999; Sharma and Lall, 1999; Harrold et al., 2003; Beersma and Buishand, 2003]. However, this has been noted to result in an improper re”
- Application of nearest‐neighbor resampling for homogenizing temperature records on a daily to sub‐daily level (2006, background): “Especially in the hydrological literature, nearest-neighbor resampling has received much attention, mainly as a technique for simulating time series of weather variables (Lall and Sharma, 1996; Brandsma and Buishand, 1998; Buishand and Brandsma, 2001; Harold et al., 2003).”
- Modified K-NN Model for Stochastic Streamflow Simulation (2006, methodology): “These approaches have also been successfully applied to rainfall modeling Lall et al. 1996; Harrold et al. 2003b ; flood frequency Lall et al. l993; Moon and Lall 1994 ; groundwater applications Adamoski and Feluch 1991 ; and streamflow forecasting Smith 1991 .”