Spatiotemporal Changes in Universal Thermal Climate Index Over South Asia DOI

Aung Kyaw Kyaw,

Mohammed Magdy Hamed, Shamsuddin Shahid

и другие.

SSRN Electronic Journal, Год журнала: 2022, Номер unknown

Опубликована: Янв. 1, 2022

Rising global temperatures have challenged human survivability and wellbeing in many regions of the globe. Yet, little is known about changes thermal stress exposure to populations living extreme poverty struggling fulfil most basic needs. This paper investigated spatial pattern levels South Asia using Universal Thermal Climate Index (UTCI). ERA5 HEAT data from 1979 2021 was used for this purpose. The annual seasonal were determined Sen's slope analysis Modified Mann-Kendall test. study showed that Bangladesh, east Asia, experiences highest mean UTCI (26 32°C), while Afghanistan lowest among Asian nations. In contrast, west part particularly region bordering India Pakistan, daily max (38 46°C). trend analyses revealed increases only over western including northwest India, with a rate 0.25 0.75°C/decade. increase much more widespread during June‒September (JAS) compared other seasons. moderate strong days increased by 4 8 days/decade area. caused shift 27.6% area an average comfort temperature 18.7% JAS.

Язык: Английский

Soil temperature estimation at different depths over the central Tibetan Plateau integrating multiple Digital Earth observations and geo-computing DOI Creative Commons
Chenyang Xu,

Shuangqiao Liao,

Liwen Huang

и другие.

International Journal of Digital Earth, Год журнала: 2023, Номер 16(2), С. 4023 - 4043

Опубликована: Сен. 28, 2023

Soil temperature (ST) plays a critical role in ecosystems. Monitoring high-resolution ST profiles remains challenging due to the inherent heterogeneity of space, time, and depth. To address this challenge, study, we integrate remote sensing techniques deep learning methods retrieve spatiotemporal continuous from 2011 2020 at four depths (5, 10, 20, 40 cm) over central Tibetan Plateau (TP). Landsat MODIS observations were fused obtain land surface properties different resolutions. The variables integrated with in-situ soil moisture (SM) measurements estimate spatiotemporally (0.0005°, 0.0025°, 0.0125°) profile through learning-based training models. belief network (DBN) was applied ST: (a) layer (LW-DBN), (b) directly (Direct-DBN). ten-fold cross-validation indicates that both approaches achieve promising results (R2 > 0.836, MAE < 2.152 °C), Direct-DBN outperformed LW-DBN all spatial scales depths. retrieval deeper coarser resolutions tend have better monitoring accuracy. Further analysis an increment study period, which provides valuable insights into global warming.

Язык: Английский

Процитировано

1
A 43-year of human thermal comfort in Central Africa DOI
Samuel Kaïssassou,

Armand Komkoua,

G. M. Guenang

и другие.

International Journal of Biometeorology, Год журнала: 2023, Номер 67(12), С. 2069 - 2080

Опубликована: Окт. 14, 2023

Язык: Английский

Процитировано

1
Assessment of Universal Thermal Comfort Index (UTCI) using the WRF-UCM model over a Metropolitan City in India DOI Creative Commons
Subrahmanya Hari Prasad Peri,

A. N. V. Satyanarayana

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Дек. 8, 2023

Abstract Rapid urbanization leads to an increase in urban air temperature, considerably affecting health, comfort and the quality of life spaces. The accurate assessment outdoor thermal is crucial for health. In present study, a high-resolution mesoscale model coupled with layer Urban Canopy Model (WRF-UCM) implemented over city Hyderabad (17.3850° N, 78.4867° E) simulate meteorological conditions during summer winter period 2009 2019. universal climate index (UTCI) has been estimated using model-derived atmospheric variables human biometeorology parameter assess linkages between environment comfort. Results revealed that summer, experiences nearly 10 hours extreme strong stress, whereas moderate slight cold stress are experienced winter. area expanded from 5–15% study period, leading 3℃ (1.5 ℃) land surface temperature 1 1.5 ℃ (0.5 ) rise at 2m height UTCI (winter) time. analysis reveals maximum values were noticed built-up areas compared other classes daytime as well nighttime. results derived have shown performance WRF-UCM-derived reasonably portrayed significant impact on provided useful insights regard welfare.

Язык: Английский

Процитировано

1
Recent Changes in Temperature Extremes and Heat Stress over Eastern India DOI
Javed Akhter,

Riddhima Biswas,

Lalu Das

и другие.

Pure and Applied Geophysics, Год журнала: 2024, Номер 181(6), С. 2005 - 2024

Опубликована: Май 11, 2024

Язык: Английский

Процитировано

0
Spatiotemporal Changes in Universal Thermal Climate Index Over South Asia DOI

Aung Kyaw Kyaw,

Mohammed Magdy Hamed, Shamsuddin Shahid

и другие.

SSRN Electronic Journal, Год журнала: 2022, Номер unknown

Опубликована: Янв. 1, 2022

Rising global temperatures have challenged human survivability and wellbeing in many regions of the globe. Yet, little is known about changes thermal stress exposure to populations living extreme poverty struggling fulfil most basic needs. This paper investigated spatial pattern levels South Asia using Universal Thermal Climate Index (UTCI). ERA5 HEAT data from 1979 2021 was used for this purpose. The annual seasonal were determined Sen's slope analysis Modified Mann-Kendall test. study showed that Bangladesh, east Asia, experiences highest mean UTCI (26 32°C), while Afghanistan lowest among Asian nations. In contrast, west part particularly region bordering India Pakistan, daily max (38 46°C). trend analyses revealed increases only over western including northwest India, with a rate 0.25 0.75°C/decade. increase much more widespread during June‒September (JAS) compared other seasons. moderate strong days increased by 4 8 days/decade area. caused shift 27.6% area an average comfort temperature 18.7% JAS.

Язык: Английский

Процитировано

2