Bridging climate science, policy, and communities: collaborative pathways for climate resilience in the Indo-Pacific DOI Creative Commons
Aditi Modi, Mathew Koll Roxy, Shipra Jain

и другие.

Frontiers in Climate, Год журнала: 2025, Номер 7

Опубликована: Май 27, 2025

The Indo-Pacific region, a critical economic and geopolitical hub, faces intensifying climate risks, including accelerating sea-level rise, extreme weather events—particularly heatwaves amplified by rapid urbanization—and glacial retreat in the Hindu Kush Himalayas. While advancements science have significantly improved future projections, gaps remain translating this knowledge into actionable adaptation strategies. Barriers such as data inaccessibility, weak institutional international coordination, financial constraints hinder effective action. This study synthesizes existing for emphasizing need localized, community-driven approaches. Key challenges include vulnerability exposure of coastal communities to limitations current urban-scale modeling, underrepresentation sociocultural factors integration Artificial Intelligence (AI) machine learning (ML) models presents an opportunity enhance urban resilience, while incorporation indigenous rooted scientific principles offers pathway improving localized efforts. Additionally, communication plays pivotal role ensuring that research reaches policymakers accessible manner. We advocate paradigm shift from linear value chain cycle approach, where insights inform policy local contexts priorities. By bridging science, policy, through regional platforms My Climate Risk Hub at Indian Institute Tropical Meteorology (IITM) Pune, India, paper outlines pathways collaborative work proposes strategies resilience.

Язык: Английский

Adapting Wind Shear Coefficients to Urban Morphology: Unlocking Urban Wind Energy Potential DOI

Shuai Kong,

Yi Xiao, Junliang Cao

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106217 - 106217

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Investigating urban heat islands over Rome and Milan during a summer period through the TERRA_URB parameterization in the ICON model DOI Creative Commons
Angelo Campanale, Marianna Adinolfi, Mario Raffa

и другие.

Urban Climate, Год журнала: 2025, Номер 60, С. 102335 - 102335

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

0
U-Surf: a global 1 km spatially continuous urban surface property dataset for kilometer-scale urban-resolving Earth system modeling DOI Creative Commons
Yifan Cheng, Lei Zhao, TC Chakraborty

и другие.

Earth system science data, Год журнала: 2025, Номер 17(5), С. 2147 - 2174

Опубликована: Май 21, 2025

Abstract. High-resolution urban climate modeling has faced substantial challenges due to the absence of a globally consistent, spatially continuous, and accurate dataset represent spatial heterogeneity surfaces their biophysical properties. This deficiency long obstructed development urban-resolving Earth system models (ESMs) ultra-high-resolution modeling, over large domains. Here, we present U-Surf, first-of-its-kind 1 km resolution present-day (circa 2020) global continuous surface parameter dataset. Using canopy model (UCM) in Community System Model as base for satisfying requirements, U-Surf leverages latest advances remote sensing, machine learning, cloud computing provide most relevant parameters, including radiative, morphological, thermal properties, UCMs at facet level. Generated using systematically unified workflow, ensures internal consistency among key making it first coherent significantly improves representation land both within across cities globally; provides essential, high-fidelity constraints ESMs; enables detailed city-to-city comparisons globe; supports next-generation kilometer-resolution scales. parameters can be easily converted or adapted various types UCMs, such those embedded weather regional models, well air quality models. The fundamental provided by also used features learning have other broad-scale applications socioeconomic, public health, planning contexts. We expect advance research frontier science, climate-sensitive design, coupled human–Earth systems future. is publicly available https://doi.org/10.5281/zenodo.11247598 (Cheng et al., 2024).

Язык: Английский

Процитировано

0
Bridging climate science, policy, and communities: collaborative pathways for climate resilience in the Indo-Pacific DOI Creative Commons
Aditi Modi, Mathew Koll Roxy, Shipra Jain

и другие.

Frontiers in Climate, Год журнала: 2025, Номер 7

Опубликована: Май 27, 2025

The Indo-Pacific region, a critical economic and geopolitical hub, faces intensifying climate risks, including accelerating sea-level rise, extreme weather events—particularly heatwaves amplified by rapid urbanization—and glacial retreat in the Hindu Kush Himalayas. While advancements science have significantly improved future projections, gaps remain translating this knowledge into actionable adaptation strategies. Barriers such as data inaccessibility, weak institutional international coordination, financial constraints hinder effective action. This study synthesizes existing for emphasizing need localized, community-driven approaches. Key challenges include vulnerability exposure of coastal communities to limitations current urban-scale modeling, underrepresentation sociocultural factors integration Artificial Intelligence (AI) machine learning (ML) models presents an opportunity enhance urban resilience, while incorporation indigenous rooted scientific principles offers pathway improving localized efforts. Additionally, communication plays pivotal role ensuring that research reaches policymakers accessible manner. We advocate paradigm shift from linear value chain cycle approach, where insights inform policy local contexts priorities. By bridging science, policy, through regional platforms My Climate Risk Hub at Indian Institute Tropical Meteorology (IITM) Pune, India, paper outlines pathways collaborative work proposes strategies resilience.

Язык: Английский

Процитировано

0