<p>Cities are highly vulnerable to climate change, yet the interactions between urban and regional climate remain insufficiently understood, especially over climate changes timescales and when comparing cities globally. Therefore, this study assesses the capabilities of two CORDEX-CORE regional climate models (REMO and RegCM) in representing urban areas globally, focusing on land-surface characteristics and urban heat island (UHI) evaluation. Despite their relatively coarse resolution (~25 km), the two models can capture urban imprints of large cities. RegCM, with a single-layer urban canopy parameterization, represents the UHI, especially at night. REMO tends to underestimate nighttime UHI due to its simple bulk urban scheme. Across models, impervious surface areas are consistently underestimated, with notable geographic imbalances across the world. Going forward, regional climate model simulations for cities require both enhanced urban parameterizations and the integration of refined urban land-use data.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Representation of global mega-cities and their urban heat island in CORDEX-CORE regional climate model simulations

  • Gaby S. Langendijk,
  • Jesus Fernandez,
  • Matthias Demuzere,
  • Javier Diez-Sierra,
  • Yaiza Quintana,
  • Lluis Fita,
  • Natalia Zazulie,
  • Rita Nogherotto,
  • Andrea F. Carril,
  • Kwok Pan Chun,
  • Graziano Giuliani,
  • Tomas Halenka,
  • Peter Hoffmann,
  • Luis E. Muñoz,
  • Joni-Pekka Pietikäinen,
  • Diana Rechid,
  • Jiacan Yuan

摘要

Cities are highly vulnerable to climate change, yet the interactions between urban and regional climate remain insufficiently understood, especially over climate changes timescales and when comparing cities globally. Therefore, this study assesses the capabilities of two CORDEX-CORE regional climate models (REMO and RegCM) in representing urban areas globally, focusing on land-surface characteristics and urban heat island (UHI) evaluation. Despite their relatively coarse resolution (~25 km), the two models can capture urban imprints of large cities. RegCM, with a single-layer urban canopy parameterization, represents the UHI, especially at night. REMO tends to underestimate nighttime UHI due to its simple bulk urban scheme. Across models, impervious surface areas are consistently underestimated, with notable geographic imbalances across the world. Going forward, regional climate model simulations for cities require both enhanced urban parameterizations and the integration of refined urban land-use data.