[PDF] Top 20 Point process based models for rainfall.

... most rainfall systems, where a precipitation area of a given scale has one or several smaller scale areas of more intense precipitation embedded within ...of rainfall in space and ...the rainfall ... See full document

... In this research, we have intuitive idea that satellite-based information such as VHI, SMN, and other indices that represent greenness of vegetation should be affected from precipitation in the previous months. ... See full document

... An alternative class of efficient MCMC methods consists of gradient- based methods, in which the gradient of the underlying distribution is used to assist large moves. A representative of this class is the ... See full document

... A Rainfall-Runoff(R-R) model is a mathematical model which describes the relation between rainfall and runoff of a watershed or catchment ...of rainfall into runoff over a catchment is known to be ... See full document

... data. Rainfall is a very important variable for calculating drought statistics, for quantifying historical droughts or for assess- ing the impact on other hydrological ...synthetic rainfall time series from ... See full document

... mathematical models for rainfall based on stochastic point ...for models based on a Poisson cluster process, such as the Bartlett- Lewis or Neyman-Scott process, ... See full document

... extreme rainfall events for a specific return pe- riod will be increased linearly with a given factor as a func- tion of ...climate models (RCMs) ... See full document

... mark process falls short when trying to model individual mark values that are far from the ...mark process; or, with respect to the Poisson point process, large local values in the intensity, ... See full document

... time or over successive periods of time. Forecasts essentially provide future values of the time series on a specific variable. Time series forecasting methods are based on analysis of historical data. It makes ... See full document

... formation process based on some standard market microstructure models ...various models have been proposed that examine the market microstructure effects on a transaction level, for example ... See full document

... approach based on snow mechanical properties derived from the snow micro- penetrometer that takes into account the two essential pro- cesses during dry-snow avalanche release: failure initiation and crack ... See full document

... Cascade-based models, such as the one proposed by Güntner et ...hourly rainfall, became quite popular in recent times and derive from the very immediate operation of disaggregating a single large ... See full document

... Sincere appreciation is also due to the staff of Malaysia Meteorological Department and Drainage and Irrigation Department for providing the daily rainfall data. Finally, I would like to thank UTM and Ministry of ... See full document

... The radar data used in this study was taken from the Met O ffi ce Nimrod system. This is a fully automated system for weather analysis and nowcasting that is based around a network of fifteen C-band ... See full document

... of point process survival analysis, which includes the seizure count pre-randomization, seizure recurrence times post-randomization, the treatment allocation at randomization and individual baseline data ... See full document

... of point process rainfall modeling by Foufoula-Georgiou & Lettermaier (1986), Rodriguez-Iturbe et ...of rainfall. A few have analyzed tropical rainfall, for example, Morrissey ... See full document

... networks based on algorithms and mathematics known as threshold ...processes based models may need mathematical equations for solving the problem which requires high demand of data and sometimes it ... See full document

... Hydrological models solving rainfall-runoff process can be split to deterministic and stochastic (Fošumpaur ...Deterministic models divide to conceptual models, which contain a part of ... See full document

... linear models (McCullagh & Nelder, 1989), or glm s, have been used for fitting models to climatological data such as rainfall by numerous researchers (for example, Coe & Stern, 1982; Stern ... See full document

... the fitted SN SRP(2) model. For the Auckland data, this resulted in an improved fit to the sample properties as the minimum SS(2) = 1.24 < 3.26 = SS(1) obtained in 4 above. (This was the only ‘objective’ criteria used ... See full document