Rhonalyn V. Macalalad, Rafaela Jane P. Delfino, Roy A. Badilla, Socrates F. Paat Jr., and Gerry Bagtasa (2023) Role of Historical Warming on the Extreme Flooding Event Due to Typhoon Vamco (Ulysses) 2020 in the Philippines.  Philippine Journal of Science 152(S1): 197–212.  Philippine Meteorological Research

G. Bagtasa (2023) Characterization of the 2012 and 2013 Metro Manila “Enhanced Habagat” heavy rainfall events. Philippine Journal of Science. 152(S1): 123–135, Special Issue on Meteorology

M. T. Cruz, J.B. Simpas, R. Holz, C.S. Yuan, G. Bagtasa (2023) Characteristics of particulate matter during New Year's eve fireworks and Taal volcano ashfall in Metro Manila on January 2020. Urban Climate, 50, p.101587

G Bagtasa and BAB Racoma (2023) Does the Sierra Madre Mountain range in Luzon act as a barrier to typhoons? Philippine Journal of Science 152 (S1), 63-77, Special Issue on Meteorology

JM Adelino and G Bagtasa (2023) Analysis of Landfalling Rapidly Weakening Tropical Cyclones in the Philippines. Philippine Journal of Science 152 (S1): 17-32, Special Issue on Meteorology

B.A.B. Racoma, C.E. Holloway, R.K.H. Schiemann, X. Feng, G. Bagtasa (2023) The Effect of the Cordillera Mountain Range on Tropical Cyclone Rainfall in the Northern Philippines. Atmosphere 2023, 14(4), 643;

R.J. Delfino, P.L. Vidale, G. Bagtasa, K. Hodges (2023) Response of damaging Philippines tropical cyclones to a warming climate using the pseudo global warming approach. Climate Dynamics.

M.T. Cruz; J.B. Simpas; A. Sorooshian; G. Betito; M.O.L. Cambaliza; J.T. Collado; E.W. Eloranta; R. Holz; X.G. V. Topacio; J. Del Socorro; G. Bagtasa (2022). Impacts of regional wind circulations on aerosol pollution and planetary boundary layer structure in Metro Manila, Philippines. Atmospheric Environment 293, p.119455

Delfino, R. J., Bagtasa, G., Hodges, K., and Vidale, P. L. (2022): Sensitivity of simulating Typhoon Haiyan (2013) using WRF: the role of cumulus convection, surface flux parameterizations, spectral nudging and initial and boundary conditions, Nat. Hazards Earth Syst. Sci. 22(10), pp.3285-3307.

Bagtasa, G. (2022) Assessment of Tropical Cyclone Rainfall from GSMaP and GPM Products and Their Application to Analog Forecasting in the Philippines. Atmosphere, 13, 1398.

Tierra, M.C.M and Bagtasa, G. (2022) Identifying the rapid intensification of tropical cyclones using the Himawari-8 satellite and their impacts in the Philippines. 13, 1398 International Journal of Climatology

Bagtasa, G. (2022) Variability of Tropical Cyclone rainfall volume in the Philippines. International Journal of Climatology.

Racoma, B.A.B., Klingaman, N.P., Holloway, C.E., Schiemann, R.K. and Bagtasa, G., 2021. Tropical Cyclone Characteristics Associated with Extreme Precipitation in the Northern Philippines. International Journal of Climatology. 43(1), pp.1-16 DOI: 10.1002/joc.7416

Yu-Lun Tseng, Chien-Hsing Wu, Chung-Shin Yuan, Gerry Bagtasa, Po-Hsuan Yen, Po-Hung Cheng (2021) Inter-comparison of Chemical Characteristics and Source Apportionment of PM2.5 at Two Harbors in the Philippines and Taiwan. Science of the Total Environment. Vol. 793, 148574

Rhonalyn V. Macalalad, Shichao Xu, Roy A. Badilla, Socrates F. Paat, Bema C. Tajones, Yangbo Chen, Gerry Bagtasa (2021). Flash Flood Modeling in the Data-poor Basin: A Case Study in Matina River Basin. Tropical Cyclone Research and Review,

Bagtasa, G., 2021. Analog forecasting of tropical cyclone rainfall in the Philippines. Weather and Climate Extremes, 32, p.100323.

Abstract. Tropical cyclone (TC) rainfall results in damages to properties and loss of lives. It is also a significant source of freshwater in the Philippines. This study describes a method in forecasting accumulated TC rainfall using analogous TCs from historical datasets. A TC rainfall database where precipitation within 5∘ of TC centers was created for all landfalling TCs from 1951 to 2015. To predict TC rainfall, the mean rainfall of all past TCs with similar tracks included in the database, referred to as analog TCs, is calculated. Landfalling TCs from 2016 to 2018 are used to optimize the selection of past analog TCs. Each past TC member was also adjusted according to a target TC’s intensity and movement speed. The optimized analog method is then applied to landfalling TCs from 2019 to November 2020. Results show that the composite rainfall from past TCs within 1.8∘ of the forecast TC yields the best hit rate of intense rainfall. The analog TC rainfall forecast generally has a similar spatial distribution as the observed TC rain. However, this method tends to miss extreme rainfall values due to a “smoothing” effect caused by the variability of extreme rain locations of each TC member and constraints in the rainfall data used in the database. Nevertheless, forecast assessment results show that analog TC rainfall forecasting performed better than the WRF model in predicting intense and inland rainfall. In addition to it being computationally inexpensive, it can complement the inherent biases of dynamical models.

Tolentino, J. and Bagtasa, G. 2021. Calibration of Kain-Fritsch Cumulus Scheme in Weather Research and Forecasting (WRF) Model over Western Luzon, Philippines. Meteorology and Atmospheric Physics, pp.1-10.

Rhonalyn V. Macalalad, Roy A. Badilla, Olivia C. Cabrera, and Gerry Bagtasa. 2021. Hydrological response of the Pampanga River Basin in the Philippines to intense tropical cyclone rainfall. Journal of Hydrometeorology (

Abstract. The Philippines is frequently affected by tropical cyclones (TCs) and understanding the flood response of the PRB from TC-induced rain is needed in effective disaster risk management. As large uncertainties remain in TC rain forecasting, we propose a simple checklist method for flood forecasting of the PRB which depends on the general TC track, season, and accumulated rainfall. To this end, flood events were selected based on the alert, alarm, and critical river height levels established by the Philippine Atmospheric, Geophysical and Astronomical ServicesAdministration (PAGASA). Results show that all flood events in the PRB were induced by TCs. All intense TCs that directly traversed the PRB resulted in critical level floods. These TCs also had the shortest flood onset of 7-27 hours from alert to critical level. Flooding from distant landfalling TCs, on the other hand, are dependent on season. TCs traversing north (south) of the PRB induced flooding only during the southwest (northeast) monsoon season. These TCs can raise water levels from alert to critical in 11 to 48 hours. Remote precipitation from non-landfalling TCs can also induce critical level flooding but with a longer onset time of 59 hours. These results indicate that a simple checklist method can serve as a useful tool for flood forecasting in regions with limited data and forecasting resources.

Bagtasa, G., 2020. Influence of Madden-Julian Oscillation on the intraseasonal variability of summer and winter monsoon rainfall in the Philippines. Journal of Climate. 33 (22), 9581-9594. DOI: 10.1175/JCLI-D-20-0305.1

Abstract.The present study investigates the influence of the Madden-Julian Oscillation (MJO) on the intraseasonal variability of summer and winter monsoon rainfall in the Philippines. The monsoon wind-terrain interaction that gives rise to rainfall in the Philippines leads to a sharp contrast between west and east coast rainfall patterns during summer and winter monsoon seasons, respectively. During the summer monsoon season, the eastward propagating MJO modulates tropical cyclone (TC) activity in the western North Pacific (WNP) on MJO phases 5 to 7. TC rainfall and remote TC precipitation due to Rossby wave response to TC heating induces strong southwesterly flow that enhances moisture transport and brings anomalous rainfall to the western region of the Philippines. On the other hand, during the winter season, an induced Matsuno-Gill type pattern to the southeast of the Philippines influences the strength of the Asian winter monsoon. Active (inactive) convection in the tropical maritime continent and Western Pacific on MJO phases 4 to 6 produces the anomalous Philippine Sea cyclonic (anticyclonic) circulation. The cyclonic (anticyclonic) anomaly leads to an enhanced (weakened) northeast monsoon flow and wet (dry) rainfall anomaly along the eastern Philippines.

Ohyama, H., Morino, I., Velazco, V. A., Klausner, T., Bagtasa, G., Kiel, M., Frey, M., Hori, A., Uchino, O., Matsunaga, T., Deutscher, N., DiGangi, J. P., Choi, Y., Diskin, G. S., Pusede, S. E., Fiehn, A., Roiger, A., Lichtenstern, M., Schlager, H., Wang, P. K., Cho, C. C.-K., Andrés-Hernández, M. D., and Burrows, J. P. (2020): Validation of XCO2 and XCH4 retrieved from a portable Fourier transform spectrometer with those from in-situ profiles from aircraft borne instruments, Atmos. Meas. Tech., 13, 5149–5163, 2020.

Abstract. Column-averaged dry-air mole fractions of carbon dioxide (XCO2) and methane (XCH4) measured by a solar viewing portable Fourier transform spectrometer (FTS, EM27/SUN) have been characterized and validated by comparison using in-situ profile measurements made during the transfer flights of two aircraft campaigns: Korea-United States Air Quality Study (KORUS-AQ) and Effect of Megacities on the Transport and Transformation of Pollutants on the Regional and Global Scale (EMeRGe). The aircraft flew over two Total Carbon Column Observing Network (TCCON) sites: Rikubetsu, Japan (43.46° N, 143.77° E) for the KORUS-AQ campaign and Burgos, Philippines (18.53° N, 120.65° E) for the EMeRGe campaign. The EM27/SUN was deployed at the corresponding TCCON sites during the overflights. The mole fraction profiles obtained by the aircraft over Rikubetsu differed between the ascending and the descending flights above approximately 8 km for both CO2 and CH4. Because the spatial pattern of tropopause heights based on potential vorticity values from the ERA5 reanalysis show that the tropopause height over the Rikubetsu site was consistent with the descending profile, we used only the descending profile to compare with the EM27/SUN data. Both the XCO2 and XCH4 derived from the descending profiles over Burgos were lower than those from the ascending profiles. Output from the Weather Research and Forecast Model indicate that higher CO2 for the ascending profile originated in central Luzon, an industrialized and densely populated region about 400 km south of the Burgos TCCON site. Air masses observed with the EM27/SUN overlap better with those from the descending aircraft profiles than those from the ascending aircraft profiles with respect to their properties such as origin and atmospheric residence times. Consequently, the descending aircraft profiles were used for the comparison with the EM27/SUN data. The EM27/SUN XCO2 and XCH4 data were derived by using the GGG2014 software in which air mass independent correction factors utilized for the TCCON data (0.9898 for XCO2 and 0.9765 for XCH4) were not applied. The comparison of the EM27/SUN observations with the aircraft data revealed that on average, the EM27/SUN XCO2 data were biased low by 1.22 % and the EM27/SUN XCH4 data were biased low by 1.7 %. The resulting air mass independent correction factors of 0.9878 for XCO2 and 0.9833 for XCH4 were obtained for the portable FTS.

Bagtasa, G. and Yuan, C.S., 2020. Influence of local meteorology on the chemical characteristics of fine particulates in Metropolitan Manila in the Philippines. Atmospheric Pollution Research.

Abstract. The chemical characteristics of fine particulates in Metropolitan Manila, capital of the Philippines, were investigated. Week-long daily PM2.5 sampling observations were done in the months of May and October of 2018 in the Manila Bay area. May and October correspond to the boreal spring and fall monsoon transition periods, respectively. The sampling periods were selected to minimize the contribution of transboundary pollutants and to determine the influence of local mesoscale weather under similar synoptic flow conditions. Results show the daily average PM2.5 mass concentration for spring and fall to be 29.07 ±4.69 and 50.06 ±8.79 μg m 3, respectively. Most PM2.5 components were also found to be higher during fall. The difference in concentration between the two seasons is mainly due to the strong land/sea-breeze in spring induced by warmer land surface temperature. In spring, strong sea-breeze disperses PM2.5 inland, and the nighttime land-breeze serves as the outflow path of fine aerosols from Metropolitan Manila. In fall, the opposing flow of the weaker sea-breeze to the prevailing easterly produces stagnant air that leads to higher accumulated particulate concentration. Moreover, the suppressed outflow during fall season resulted in higher PM2.5 contribution of aged secondary aerosol components. Overall, the largest contributors to Metropolitan Manila PM2.5 mass concentration are the primary and secondary aerosols from local vehicular emissions, followed by soil dust and seasalt.

JA Garcia, E Vallar, MC Galvez, G Bagtasa (2019) Application of the WRF/Chem v. 3.6. 1 on the reanalysis of criteria pollutants over Metro Manila. Sustainable Environment Research 29 (1), 38

YL Tseng, CS Yuan, G Bagtasa, HL Chuang, and TC Li (2019) Inter-correlation of Chemical Compositions, Transport Routes, and Source Apportionment Results of Atmospheric PM2. 5 in Southern Taiwan and the Northern Philippines. Aerosol and Air Quality Research 19, 2645-2661

Gerry Bagtasa, Mylene G Cayetano, Chung-Shin Yuan, Osamu Uchino, Tetsu Sakai, Toshiharu Izumi, Tomohiro Nagai, Isamu Morino, Ronald C Macatangay, Voltaire A Velazco (2019).  Long-range transport of aerosols from East and Southeast Asia to northern Philippines and its direct radiative forcing effect. Atmospheric Environment 218, 117007

Abstract. Two elevated fine particulate mass concentration events were observed in a span of a week in northern Philippines on March of 2017. Results from chemical characterization, lidar observation, and model simulations of particulate matter show the high aerosol concentration events to be caused by long range transport (LRT) of anthropogenic pollutants from northern East Asia at the surface and biomass burning emission from Indochina aloft. In this study, we investigated the transport path of these LRT aerosols and estimated their direct radiative forcing. A strong Siberian high and a confluent flow induced by a continental high over the main Asian continent and a cyclonic circulation over the south of Japan produced a strong northerly wind that carried pollutants from northern East Asia to northern Philippines. At the same time, strong westerlies 2–4 km aloft carried biomass burning emissions from Indochina, which also had an impact on ground concentration. Mass extinction efficiency of LRT aerosols was estimated to be in the range of 2.06–6.44 m2g-1 with a mean value of 4.32±1.32 m2g-1. In addition, we calculated the direct radiative forcing effect under clear sky condition and found that the transported aerosols had a mean net negative forcing (cooling) effect of -50.80±12.38 Wm-2 and -11.98±3.96 Wm-2 on surface and at the top of the atmosphere, respectively. Such pollutant transport during wintertime cold surges had been shown to reduce local surface pollutants in northern China. Consequently, its impacts shift to downwind regions as far as the Philippines. As winter cold surge frequency increases due to the warming arctic, more LRT events may be expected as a result of climate change.

Gerry Bagtasa (2019), 118‐year climate and extreme weather events of Metropolitan Manila in the Philippines. International Journal of Climatology.

Abstract. Metropolitan Manila, the Philippines, is a megacity with a population of 12.9 million people. Unabated urbanization and disorganized infrastructure build-up, coupled with a large urban poor population have made many of its population vulnerable to climate change. This study presents the 118-year urban climate and extreme weather events of Metropolitan Manila. Daily average and minimum temperature are on the rise comparable to countrywide trends. Consequently, there are more warm and less cold nights. Total annual precipitation is also increasing at a rate of 77.99 mm/decade. Decreasing simple daily intensity index implies that higher observed precipitation is due to the increase in wet days count rather than intensity. Tropical cyclones (TCs) are critical in producing most extreme rainfall events in the metropolis. Extreme precipitation is induced either by a TC's immediate rainbands or remote precipitation effects by enhancing the prevailing summer monsoon flow. TC-induced rain modulates annual rainfall variability and is estimated to contribute 45.2% to Metropolitan Manila mean total rainfall.

Gerry Bagtasa (2019). Enhancement of Summer Monsoon Rainfall by Tropical Cyclones in Northwestern Philippines. J. Meteor. Soc. Japan, 97,

Abstract. The influence of tropical cyclones (TC) on the western North Pacific (WNP) summer monsoon flow—as well as the impact on rainfall in the Philippines during the months of June to September from 1958 to 2017—were investigated. High precipitation event (HPE) days with measured rainfall in the upper 85th, 95th, and 99th percentiles were determined using daily rainfall averages via data acquired from eight synoptic stations in northwestern Philippines. More than 90 % of HPE days coincide with TC occurrence in the WNP, whereas landfalling TCs only account for 12.8 – 15.1 % of HPE days. The present study looks at the non-landfalling TCs that are coincident with HPEs. The result shows that these non-landfalling TCs remotely play a key role that affects almost all local HPEs in northwestern Philippines.
Analysis of the TC tracks and their influence on southwesterly summer monsoon flow in Southeast Asia during HPE days shows that most of the TCs move along a line segment connecting northern Luzon and Okinawa, Japan. The composite low-level flow of all HPE days is characterized by a zonally-oriented eastward trough at the 1005 – 1007 hPa isobar along 20°N that extends to at least 135°E longitude over the northern half of the Philippines; a deepening of the monsoon trough in northern South China Sea also occurs. The 1005 – 1007 hPa trough induces an eastward shift on the southwesterly flow causing a 1.94 – 4.69 times increase in mean zonal wind velocity and 2.67 – 6.92 times increase in water vapor flux (via moisture conveyor belt) along western Luzon. In addition, increasing trends of 6.0 % per decade in the mean annual number of HPE days per decade and 12.7% per decade in the annual total HPE precipitation are found to be significant in the upper 85th percentile of daily rainfall. These increases are attributed to the recent changes in WNP TC tracks.

Lagrosas, Nofel, Gerry Bagtasa, Naohiro Manago, and Hiroaki Kuze (2019). Influence of Ambient Relative Humidity on Seasonal Trends of the Scattering Enhancement Factor for Aerosols in Chiba, Japan. Aerosol and Air Quality Research vol. 19(8), pp.1856-1871. DOI: 10.4209/aaqr.2018.07.0267

Abstract. In this study, we used ground instruments, namely, a visibility meter, an integrating nephelometer, an aethalometer, a lidar, and a weather monitor, to measure the scattering enhancement factor, f(RH), which quantifies the effect of ambient relative humidity (RH) on aerosol light-scattering, and to generate a model of its annual variation in the city of Chiba, Japan. First, the f(RH) values were calculated with chemical analysis data. Second, visibility-meter and aethalometer data were used to model the monthly trends of f(RH) at 550 nm. The f(RH) values were higher during summer than during the other three seasons, which can be attributed to the general pattern of the regional climatology as well as the loading of different particle types into the lower troposphere. Third, the f(RH) values at 532 nm were obtained from lidar and aethalometer measurements. Low and constant f(RH) values were observed during November, whereas higher and increasing f(RH) values were observed during May. Also, dust events during March 2015 showed decreasing f(RH) with increasing RH.

Gerry Bagtasa, Mylene G. Cayetano, and Chung-Shin Yuan (2018). Seasonal variation and chemical characterization of PM2.5 in northwestern Philippines. Atmos. Chem. Phys., 18, 4965-4980.

Abstract. The seasonal and chemical characteristics of fine particulate matter (PM2.5) were investigated in Burgos, Ilocos Norte, located at the northwestern edge of the Philippines. Each 24h sample of fine aerosol was collected for four seasons. Fine particulate in the region shows strong seasonal variation in both concentration and composition. Highest mass concentration was seen during the boreal spring season with a mean mass concentration of 21.6±6.6µg m−3, and lowest was in fall with a mean concentration of 8.4±2.3µg m−3. Three-day wind back trajectory analysis of air mass reveals the influence of the northwestern Pacific monsoon regimes on PM2.5 concentration. During southwest monsoon, sea salt was the dominant component of fine aerosols carried by moist air from the South China Sea. During northeast monsoon, on the other hand, both wind and receptor model analysis showed that higher particulate concentration was due to the long-range transport (LRT) of anthropogenic emissions from northern East Asia. Overall, sea salt and soil comprise 33% of total PM2.5 concentration, while local biomass burning makes up 33%. LRT of industrial emission, solid waste burning and secondary sulfate from East Asia have a mean contribution of 34% to the total fine particulate for the whole sampling period.


Gerry Bagtasa (2017). Contribution of Tropical Cyclones to Rainfall in the Philippines. Journal of Climate. Vol 30. pp. 3621-3633.


Tropical cyclone (TC)-induced rainfall (TC rain) in the Philippines was investigated using a combination of ground and satellite observations to produce a blended 64-yr precipitation dataset. A total of 1673 TCs were examined using best track data from the Japan Meteorological Agency. Rainfall from 100 (~1110 km) of the TC center was considered as TC-induced rainfall. TC rain contribution is highest in the northern Philippines, particularly along the western coast of Luzon (up to 54%), and lowest in the southern islands of Mindanao (6%). The high TC rain contribution is attributed to the enhancement of the Asian southwest monsoon by TCs located to the northeast of the Philippines. An unsupervised clustering method, k-means clustering, was used to divide the archipelago into four climate subtypes according to monthly rainfall variation. Interannual variability of rainfall from climate clusters with high TC rain contribution generally follows the variability of TC rain. On the other hand, the variability of low TC rain clusters is mainly influenced by El Niño–Southern Oscillation (ENSO). All clusters show increasing trends of 16.9%–19.3% decade−1 in TC rain percentage contribution since 2000. This study hypothesizes that this increasing trend is due to changes in the characteristics of TC steering mechanisms and thermodynamic properties east of the Philippines in the past one and a half decades.


Rhonalyn L. Vergara, Ernest P. Macalalad, Gerry Bagtasa, Edgar A. Vallar, Maria Cecilia D. Galvez, and Raquel V. Francisco (2017). Correlation of Aerosol Optical Properties with Surface Meteorological Parameters Over Manila. Adv. Sci. Lett. 23, 1448–1451


Aerosol optical properties such as aerosol optical depth (AOD) at 500 nm together with wavelength exponent (α) and Ångstrom turbidity coefficient (β) obtained from a sunphotometer over Manila were used to analyze their response to the changes in temperature, relative humidity (RH) and zonal wind. Data retrieved for a one year period of measurements (August 2009–July 2010) were used to describe the variations of the aerosol optical properties. Temperature showed weak correlations with the aerosol optical properties. Surface RH confirmed evidence for its influence on aerosols size distribution and dominant aerosol type. Zonal wind demonstrated influences on the prevailing aerosol present at a certain area and caused alteration the amount of its loading.


BA Racoma, CP David, IA Crisologo and G Bagtasa (2016). The Change in Rainfall from Tropical Cyclones due to Orographic Effect of the Sierra Madre Mountain Range in Luzon, Philippines. Phil. Journal of Science. in press.


This paper discusses the Sierra Madre Mountain Range of the Philippines and its associated influence on the intensity and distribution of rainfall during tropical cyclones. Based on Weather and Research Forecasting model simulations, a shift in rainfall was observed in different portions of the country, due to the reduction of the topography of the mountain. Besides increasing the rainfall along the mountain range, a shift in precipitation was observed during Tropical Storm Ondoy, Typhoon Labuyo, and Tropical Storm Mario. It was also observed that the presence of the Sierra Madre Mountain Range slows down the movement of a tropical cyclones, and as such allowing more time for precipitation to form over the country. Wind profiles also suggest that the windward and leeward sides of mountain ranges during Tropical Cyclones changes depending on the storm path. It has been suggested that in predicting the distribution of rainfall, the direction of movement of a tropical cyclone as well as its adjacent areas be taken into great consideration. While the study shows high amounts of variation in the characteristics of different tropical cyclones with respect of the Sierra Madre Mountain Range, the results of this study can provide insights to pre-disaster operations before tropical cyclones approaches land. The decrease in tropical cyclones speed introduced by the Sierra Madre Mountain Range can be used to identify the possible areas that can experience prolonged rains due to the mountain range. Disaster management authorities can also prepare in advance by identifying which locations can experience orographic enhanced precipitation. However, due to the lack of available data and resources, further studies are recommended due to the study presenting limited cases.


Lagmay AMF, Bagtasa G, Crisologo IA, Racoma BAB and David CPC (2015) Volcanoes magnify Metro Manila’s southwest monsoon rains and lethal floods. Front. Earth Sci. 2:36. doi: 10.3389/feart.2014.00036


Many volcanoes worldwide are located near populated cities that experience monsoon seasons, characterized by shifting winds each year. Because of the severity of flood impact to large populations, it is worthy of investigation in the Philippines and elsewhere to better understand the phenomenon for possible hazard mitigating solutions, if any. During the monsoon season, the change in flow direction of winds brings moist warm air to cross the mountains and volcanoes in western Philippines and cause lift into the atmosphere, which normally leads to heavy rains and floods. Heavy southwest monsoon rains from 18–21 August 2013 flooded Metro Manila (population of 12 million) and its suburbs paralyzing the nation's capital for an entire week. Called the 2013 Habagat event, it was a repeat of the 2012 Habagat or extreme southwest monsoon weather from 6–9 August, which delivered record rains in the mega city. In both the 2012 and 2013 Habagat events, cyclones, the usual suspects for the delivery of heavy rains, were passing northeast of the Philippine archipelago, respectively, and enhanced the southwest monsoon. Analysis of Doppler data, rainfall measurements, and Weather Research and Forecasting (WRF) model simulations show that two large stratovolcanoes, Natib and Mariveles, across from Manila Bay and approximately 70 km west of Metro Manila, played a substantial role in delivering extreme rains and consequent floods to Metro Manila. The study highlights how volcanoes, with their shape and height create an orographic effect and dispersive tail of rain clouds which constitutes a significant flood hazard to large communities like Metro Manila..


  • Lidar (atmospheric lidar) analysis of TCCON Burgos
  • PM2.5 transport from East Asia and South East Asia haze transport observation and modeling
  • aerosol – cloud – climate interaction modeling using WRF-Chem
  • Tropical cyclone climatology in the Philippines
  • Influence of weather on ambient pollutant concentration
  • Mesoscale weather modeling in the Philippines
  • PM concentration around power plants in Luzon
  • Personal pollutant exposure from Metro Manila traffic.


(4) Bernard Alan Racoma (2023) Ph.D. Meteorology – Understanding Tropical Cyclone Precipitation in the Northern Philippines

(3) Rafaela Jane Delfino (2023) Ph.D. Meteorology – The influence of global warming on tropical cyclone characteristics and their impacts in the Philippines

(2) Melliza Templonuevo Cruz (2023) Ph.D. Environmental Science – Interactions between aerosols, planetary boundary layer dynamics, and sea-land breeze circulations under different synoptic conditions in Metro Manila

(1) Rhonalyn Vergara Macalalad (2022) Ph.D. Meteorology – Characterizing flood response to intense rainfall using observational and model data: Case studies on riverine floodings in Pampanga, Matina and Cagayan River basins


(27) Hannah N. Meim (2023) MS Meteorology – “Particulate Concentrations in the Ilocos Region as Influenced by Tropical Cyclones”

(26) Loriedin Dela Cruz (2023) MS Meteorology – “Characterization of the onset of Northeast Monsoon and its drivers in the Philippines”

(25) Erik Paolo De La Vega (2023) MS Meteorology – “Time series modeling and projection of climate response of corn yield in Isabela, Philippines”

(24) Juan Paolo P. Pamintuan (2023) MS Meteorology – “Sensitivity of the WRF Model to Different SST Data and Ocean Model Options in Simulating Tropical Cyclone Events in the Philippines”

(23) Cris Gino T. Mesias (2023) MS Meteorology – “A Machine Learning Approach for Tropical Cyclone Rainfall Forecasting in the Philippines”

(22) Cyrill T. Depasucat (2022) MS Meteorology – “Assimilating Subic Radar Data in the WRF Model for Heavy Rainfall Prediction in Metro Manila”

(21) Ryan T. Diocampo (2022) MS Meteorology – “Influence of the Madden-Julian Oscillation on Boreal Winter Monsoon Extreme Precipitation Events in the Bicol Region, Philippines”

(20) Erwin T. Molina (2022) MS Meteorology – “Diurnal Precipitation and Extreme Events Over Cagayan Valley, Philippines”

(19) Crizzia Miel M. De Castro (2022) MS Meteorology – “Hyperspectral Unmixing as an Analog Forecasting Method during Strong Monsoon Events in the Philippines”

(18) Joanne Mae B. Adelino (2022) MS Meteorology – “Rapidly Weakening Tropical Cyclones: Analysis and Impacts in the Philippines”

(17) Kevin B. Cordoviz (2022) MS Meteorology – “Influence of the West Pacific Subtropical High on Landfalling Winter Tropical Cyclones in the Philippines”


(15) Kate Ann R. Esguerra (2021) MS Meteorology – “Numerical Simulation of Tropical Cyclones in the Philippines using the Weather Research and Forecasting (WRF) and Cloud-Resolving Storm Simulator (CReSS) model.

(14) Maria Czarina M. Tierra (2021) MS Meteorology – “Rapidly Intensifying Tropical Cyclones: Landfalls and Impacts in the Philippines and Prediction Using Himawari-8 Infrared Brightness Temperature”

(13) Jhunace Planea (2019) MS Meteorology – “Trend and variability of the 17-year lightning climatology in the Philippines”


(11) Melvin Tena (2018) MS Meteorology- “Statistical Forecasting of Thunderstorms in Metro Manila”

(10) Joey Figuracion (2017) MS Meteorology– “Determination of Z-R Relationship for Radar-Based Quantitative Precipitation Estimation (Qpe) Using In-Situ Measurements in Metro Manila”

(9) Benjamin Ona (2017) – “Experimental Simulation of Aerosol Effect to Landfalling Tropical Cyclones Over Philippine Coast: Virtual Seeding using WRF model”

(8) Jeewan W. Karunaratna (2017) – “Sensitivity of Cumulus and Microphysics Parameterization Schemes in WRF Model and Impact of Data Assimilation on the Forecast Skill for Sri Lanka”

(7) Rosemarie Marasigan (2016) – “Characterization of Local Frost Events in Benguet, Philippines”

(6) John Christian Lequiron (2015) – “Factors Affecting Air Surface Temperature Variations in the Philippines”





(1) Nikos Penaranda (2011) – “Characteristics of Thunderstorm Activity Using Cloud‐to‐Ground Lightning Data”


Irwin Aguilar
Karlo Timbal
Christine Protacio
Louis Jane Rico
Andrei Casim
Justin Maris Natividad
Charlindo Torrion

Kim Aquino
MM Calimoso

Marielle Alemania
Agatha Manzo

Renier Agas
Moises San Juan

Alanis Valbuena
Ramjun Sajulga



  • "Analysis of tropical cyclone rapid intensification in the Philippines: its characteristics, impacts, and future projections" - funded by DOST PCIEERD (on-going... as of Jan 2023)
  • Heavy rainfall forecasting of tropical cyclones in the Philippines using combined statistical-dynamic model (DONE)
  • “Tempospatial Distribution and Transboundary Transport of Atmospheric Fine Particles across Bashi Channel, Taiwan Strait, and South China Sea” - funded by DOST under the Meco-Teco program. (DONE)
  •  “Creating cost-effective sensors for IR applications: High-Resolution Simulation and Verification of Local CO2 Flux in the Philippines” funded by the OVPAA Emerging Inter-Disciplinary Research (EIDR) program. (DONE)
  •  Climatic changes in Metro Manila. (DONE)

Simulated 3D wind of Typhoon Yolanda (Haiyan)


Philippines Koppu (Lando) Indonesia Haze transport simulation 2015 Oct 14-21