Principal Component Analysis was used to identity common anomaly patterns amongst 72 rainfall gauge stations in Central America during October, in order to identify stations to from October Rainfall Indices. October was ...

Principal Component Analysis was used to identity common anomaly patterns amongst 72 rainfall gauge stations in Central America during October, in order to identify stations to from October Rainfall Indices. October was ...

In places with high spatiotemporal rainfall variability, such as mountain regions, input data could be a large source of uncertainty in hydrological modeling. Here we evaluate the impact of rainfall estimation on runoff ...

An intercomparison of different approaches for the construction and calibration of lumped conceptual rainfall-runoff models is made based on two case studies with unrelated meteorological and hydrological characteristics ...

Intensive rainfalls are characterized by their intensity (i), duration (t) and return period (T). The design rainfall used in hydraulic works design is determined using mathematical models of type i = f (t,T). This functional ...

In this paper we introduce two new dynamical features of rainfall phenomena into the self-organized critical rainfall model. The new dynamics lead to the constrained random and the complete toppling versions, both of which ...

Statistical models for rainfall downscaling based on multiple linear regression techniques have been developed and tested in the Andean Region of west Argentina, an extended mountainous region where three different rain ...

Despite many efforts of the radar community, quantitative precipitation estimation (QPE) from weather radar data remains a challenging topic. The high resolution of X-band radar imagery in space and time comes with an ...

Aedes aegypti is the main vector of multiple diseases, such as dengue, Zika, and chikungunya. Due to modifications in weather patterns, its geographical range is continuously evolving. Temperature is a key factor for its ...