Embedded Files
Climate & Geospatial Research Assistant
ABOUT ME
ABOUT ME
Environmental science graduate (Magna Cum Laude, Ateneo de Davao University) with experience in climate modeling, hazard risk mapping, and geospatial analysis. Based in Davao City, Philippines. Available for remote research and GIS work.
Contact me: jmcdelmar@gmail.com
selected maps
selected maps
Typhoon Track Density, philippines (1980-present)
Typhoon Track Density, philippines (1980-present)
Kernel density estimation of 549 Western Pacific tropical cyclone tracks within the Philippine Area of Responsibility, based on IBTrACS v4.01 data. Track lines are categorized by maximum intensity using the Saffir-Simpson scale, with Super Typhoon Yolanda (Haiyan, 2013) and Typhoon Pablo (Bopha, 2012) highlighted as reference events.
Tools: QGIS, Adobe Illustrator · Data: IBTrACS v4.01, GADM 4.1
Natural parks terrain - northern sierra madre & mt apo
Natural parks terrain - northern sierra madre & mt apo
Terrain visualizations of two of the Philippines' most ecologically significant protected areas: Mt. Apo Natural Park (Mindanao) and Northern Sierra Madre Natural Park (Luzon). Elevation data from the Shuttle Radar Topography Mission (SRTM GL3, 90m) is rendered with hillshading to emphasize relief, peak locations, and protected area boundaries.
Tools: QGIS, Adobe Illustrator · Data: SRTM GL3, GADM 4.1
Annual Total Rainfall, Philippines
Annual Total Rainfall, Philippines
Climatological mean annual rainfall (1981-2010) mapped at national and island scale, derived from WorldClim 2.1 gridded climate data. Together the maps illustrate how monsoon patterns and orographic effects drive strong spatial gradients in precipitation, with eastern Mindanao among the wettest regions in the country.
Tools: QGIS, Adobe Illustrator · Data: WorldClim 2.1, GADM 4.1
Flood Hazard and Exposure, Metro Manila-CAVITE CORRIDOR
Flood Hazard and Exposure, Metro Manila-CAVITE CORRIDOR
Flood hazard classification and population exposure surface for the Metro Manila-Cavite corridor, based on UP NOAH's 100-year return period inundation data (left). Population exposure (right) was estimated by weighting WorldPop 2020 population counts against hazard class values, producing a normalized 0-100 score where higher values reflect both greater flood severity and higher population density.
Tools: QGIS, Adobe Illustrator · Data: UP NOAH, WorldPop 2020, ESA WorldCover 2021, GADM 4.1
conference presentations
conference presentations
Poster Presentation · 26th SPVM National Physics Conference · Manila, Philippines · October 2024
A Preliminary Study on the Effects of Urban Canopy, Aerosols, and Gas Chemistry on Urban-induced Rainfall Anomalies in Davao City, Philippines using WRF-Chem and WRF-Urban — with R.C. Coronel
Poster Presentation · GIZ South-South Collaboration on Climate Information and Services (SSCIS) Conference · Davao City, Philippines · July 2024
Evaluation of WRF-Chem and WRF-Urban in Simulating a Heavy Rainfall Event in Davao City, Philippines
Poster Presentation · 21st Annual Meeting, Asia Oceania Geosciences Society (AOGS) · Pyeongchang, South Korea · June 2024
Impacts of Single- and Multi-layer WRF-Urban Canopy Models on a Simulated Heavy Rainfall Event in Davao City, Philippines — with M.L.D. Tacderan and R.C. Coronel
Oral Presentation · 25th SPVM National Physics Conference · Iligan City, Philippines · October 2023
Investigating the Impacts of WRF-Urban Canopy Parameterization on a Simulated Rainfall Event in Davao City — with M.L.D. Tacderan, F.R.L. Rodrigo, and R.C. Coronel
tools and skills
tools and skills
QGIS · WRF-ARW · WRF-Chem · GrADS · Python · Adobe Illustrator
Page updated
Google Sites
Report abuse