![]() In contrast, mean maximum temperature showed a decreasing trend with an average decrease of 0.65 ☌, p <0.01). In using Mann-Kendall test statistics, time series analysis and one-way analysis of variance, the findings from 1981 to 2012 show increasing trends with significant changes (p <0.01) in mean minimum temperature, increasing by 0.74 ☌ for three decades. The study conducted household surveys with 265 respondents, focus group discussions, and key informant interviews. This study assessed the climate trends and the changes, impacts, and adaptation strategies of farm households in five barangays in the Roxas mountain range, Koronadal City, South Cotabato. Moreover, localized baseline scientific climate information is limited to foster the development of appropriate adaptations and policies toward climate-resilient communities. However, this situation has recently changed due to the increasing climate-related risk events. All rights reserved.įarmers in the Roxas mountain range, City of Koronadal used to have bountiful harvests during the time when the city was still free from climate-related hazards. ![]() These findings serve as a baseline study that focuses on the countrywide effect of urbanization on SAT trends in the Philippines. Further analysis revealed that the effect of urbanization was the greatest during the DJF (December‐January‐February) season. The effects of urbanization on the annual series of extreme temperature indices were statistically significant at the 95% confidence level, with the exception of Tmax, TXn, TXx, TX10p, and the number of hottest days. The effects of urbanization were not as clear on the index series of maximum Tmax (TXx), minimum Tmax (TXn), percentage of days when Tmax was less than 10th percentile (TX10p), and the number of hottest days. In particular, the effects of urbanization were significant in the annual index series of Tmin, diurnal temperature range, minimum Tmin, percentage of days when Tmin was less than the 10th percentile (TN10p), percentage of days when Tmin was greater than 90th percentile (TN90p), and the number of coldest nights. Larger and more significant warming trends were observed in indices related to Tmin than those related to Tmax. The results showed a significant difference in the SAT trends between urban and rural stations, indicative of the effect of urbanization in the country. These stations were then classified as urban or rural based on satellite night‐lights. The daily minimum temperature (Tmin) and daily maximum temperature (Tmax) records from 34 meteorological stations were used to derive extreme temperature indices. This paper presents a comprehensive analysis of the effect of urbanization on the surface air temperature (SAT) from 1951 to 2018 in the Philippines. Lastly, this study showed similar results compared to previous drought records and similar studies in the Philippines. The magnitude of drought Philippines ranges from 47mm to 677 mm with strength of 60 to 800 mm/month. There are areas in the country where drought duration can last up to 11 months. Based on the results, drought characteristics vary spatially across the country. The study used two commonly used drought hazard index such as the Standard Precipitation Index (SPI), and Standardized Precipitation Evapotranspiration Index (SPEI) to derive different drought characteristics. rainfall and temperature) from TerraClimate to characterize meteorological drought hazard in the Philippines. This paper aims to use the free high spatial resolution and long-term monthly climate data (i.e. In the Philippines, there are limitations (access, availability, and spatial coverage) of long-term climate records to assess drought on the national scale. Among different drought categories, assessment of meteorological drought is imperative because it is the root cause of other types of drought. Drought is a natural hazard with a severe and long-lasting impact on both human and natural systems.
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