Abstract The Global Precipitation Measurement (GPM) mission is a group of satellites that provides global observations of precipitation. Satellite-based observations act as an alternative if ground-based measurements are inadequate or unavailable. Data provided by satellites however must be validated for this data to...
Abstract A hybrid piecewise rainfall value interpolation algorithm was formulated using the commonly known Inverse Distance Weighting (IDW) and Gauss-Seidel variant Successive Over Relaxation (SOR) to interpolate rainfall values over Metro Manila, Philippines. Due to the fact that the SOR requires boundary values...
Abstract The Global Precipitation Measurement (GPM) mission is a network of satellites that provides improved global observations of precipitation. Satellite-based observations can serve as an alternative source of information if ground-based measurements are not readily available. The data provided by satellites must be...
Abstract The performance of the RegCM4 in simulating rainfall variations over the Southeast Asia regions was examined. Different combinations of six deep convective parameterization schemes, namely i) Grell scheme with Arakawa-Schubert closure assumption, ii) Grell scheme with Fritch-Chappel closure assumption, iii) Emanuel MIT...
Abstract The Southeast Asia (SEA) region is one of the more vulnerable regions to the impacts of climate change because of the large population exposed to climate-related hazards, mostly living in countries with low adaptive capabilities. In order to adequately prepare and adapt...
Particulate matter (PM) samples were collected from March to June 2007 on filters using a multi-stage filter setup. Each event generated a sample from fine (2.5 μm and 10 μm (> PM10) size fractions. The samples were analyzed for gravimetric and ionic content....
This study uses the Conditional Probability Function to determine directions associated with high values of receptor model-generated source contributions at the Manila Observatory (MO). Wind measurements and 24-hour average fine and coarse fraction concentrations measured from 2005 to 2007 were used. Results for...
A continuously operated portable automated lidar (PAL) is used to monitor the troposphere. The PAL system uses an automatic alignment procedure to routinely optimize the lidar alignment in a definite interval. Consequently, we demonstrate the capability of the system to detect atmospheric phenomena...
Typhoon Muifa (Unding) caused considerable damage when it crossed the northern Bicol provinces and Southern Mindoro during the two-day period: November 19-20, 2004. The typhoon was remarkable because its movement was erratic, being characterized by a looping trajectory and other deviations from a...
In view of the concern over of global warming and the spate of destructive tropical cyclones in recent months, there has been interest in finding a link between the two phenomena. Recently published papers (Emanuel 2005, Webster et al. 2005) showed that disturbances...
This paper investigates the use of Self Organizing Feature Maps (SOFMs) as an objective method for classifying rainfall data to identify climate types. Results show that SOFMs are effective clustering tools for nonlinear climate data such as precipitation. [Presented at the Samahang Pisika...
Lidar data are used to measure the boundary layer height (BLH) of the atmosphere. In this paper, a comparative study among the basic methods (first and second derivatives and standard deviation) is done to get the BLH from a continuously-operated portable automated lidar...
The performance of the MM5 and the RegCM3 models in simulating total monthly rainfall has been evaluated. Total rainfall for the two months of June 2000 and June 2001 are simulated. June 2000 is a relatively dry month while June 2001 is a...
Changing climatic conditions necessitate the updating of traditional climate classification schemes in the Philippines, which are based primarily on the Coronas Climate Atlas created in 1920. This study aims to establish an objective method for reducing rainfall data that is varying both in...
Receptor models based on the traditional mass balance approach provide quantified source identification and apportionment which does not include spatial/directional information of the sources. Application of trajectory-based models of which PSCF is a part of, easily mitigates such a problem. In the absence...
The Philippine archipelago, which has one of the longest coastlines in the world, will not be spared of the adverse impacts of sea-level rise and extreme climate events that are expected to happen in a warmer world. This study aims to review climate...
The Fifth-generation PSU/NCAR Mesoscale Model (MM5) is used to characterize the climatic effect of growing urbanization in Metro Manila from 1988 to 1997. Simulations are performed using the same initial and boundary conditions for different land cover data derived from satellite images of...
A method for computing climatological rainfall is used to determine the rainfall distribution for Luzon during the month of June. The method consists of simulating the distribution with a fluid dynamical model of the atmosphere and merging the results of the simulation with...
A comparative study of the accuracy of model simulations of accumulated monthly rainfall is made. Two models have been compared: the PSU/NCAR MM5 and the RegCM3 models. For the purpose of the study, we simulated the accumulated rainfall for the month of June...
This study evaluates the skill of the PSU/NCAR mesoscale model (MM5) in predicting precipitation within the Philippine Area of Responsibility (PAR) during typhoon/tropical storm events. Accumulated rainfall and rain rate forecasts of six tropical cyclones that occurred in 2003 are compared with satellite...