This study aimed to examine the spatiotemporal seasonal and annual trends of rainfall indices in Perak, Malaysia, during last 35 years, as any or spatial variability may influence regional hydrological cycle water resources. Mann–Kendall Sequential (SMK) tests were used assess trends. Precipitation concentration index was estimate variations concentration, Theil–Sen’s slope estimator determine ...

A time series generator is presented, employing a robust three-level multivariate scheme for stochastic simulation of correlated processes. It preserves the essential statistical characteristics of historical data at three time scales (annual, monthly, daily), using a disaggregation approach. It also reproduces key properties of hydrometeorological and geophysical processes, namely the long-ter...

Corresponding Author: Soo See Chai Department of Software Engineering and Computing, Faculty of Computer Science and Information Technology, University of Malaysia Sarawak (UNIMAS), 94300, Kota Samarahan, Sarawak, Malaysia Email: [email protected] Abstract: Rainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility...

A water budget model is proposed to estimate the infiltration, runoff, evapotranspiration and recharge in vadose zone and apply to a case study. The instantaneous redistribution of infiltrated water is assumed to be uniform and a linear relationship between evapotranspiration and effective saturation is imposed. Infiltration is described by Philip’s solution in conjunction with the time compres...

over the past decades, the fallout radionuclides 137cs, 210pbex and 7be are increasingly being used to quantify soil erosion and sedimentation rates. although studies using 137cs and to some extent 210pbex are now well-documented, there is a need for further work aimed at exploring the use of 7be, particularly in arid and semi-arid areas. investigating soil erosion processes occurring over shor...

Soil moisture exhibits spatial and temporal variability. Spatial variability is mostly associated to climatology patterns, topography, soil texture, and vegetation index; where as, temporal variability is primarily associated to rainfall and air temperature events. The spatial variability is modeled by a long-term memory model whereas the temporal variability by a short-term memory model. The l...

The adjustment of the tropical climate outside the Pacific (the “remote Tropics”) to the abrupt onset of El Niño conditions is examined in a tropical atmosphere model that assumes simplified vertical structure and quasi-equilibrium (QE) convective closure. The El Niño signal is rapidly ( 1 week) communicated to the remote Tropics via an eastward-propagating Kelvin-like wave that induces both an...

Vegetation responses and ecosystem function are spatially variable and influenced by climate variability. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) was used to combine MODIS (Moderate Resolution Imaging Spectrometer) and Landsat TM/ETM+ (Thematic Mapper/ Enhanced Thematic Mapper plus) imagery for an 8 year dataset (2000-2007) at 30m spatial resolution with 8 day interv...