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Uncertainty reduction for precipitation prediction in North America.
Lou, Dan; Berghuijs, Wouter R; Ullah, Waheed; Zhu, Boyuan; Shi, Dawei; Hu, Yong; Li, Chao; Ullah, Safi; Zhou, Hao; Chai, Yuanfang; Yu, Danyang.
Afiliação
  • Lou D; Nanjing Nriet Industrial Co., Ltd., Nanjing, China.
  • Berghuijs WR; Department of Earth Sciences, Free University Amsterdam, Amsterdam, Netherlands.
  • Ullah W; Defense and Security, Rabdan Academy, Abu Dhabi, United Arab Emirates.
  • Zhu B; School of Hydraulic Engineering, Changsha University of Science & Technology, Changsha, China.
  • Shi D; Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province, Changsha, China.
  • Hu Y; Lianyungang Meteorological Bureau, Haizhou District, Lianyungang City, Jiangsu Province, P.R. China.
  • Li C; State Key Laboratory of Water Resources and Hydropower Engineering Science, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, China.
  • Ullah S; Jiangsu Meteorological Observatory, Nanjing, China.
  • Zhou H; Department of Atmosphere and Oceanic Sciences & Institute of Atmospheric Science, Fudan University, Shanghai, China.
  • Chai Y; Peixian Meteorological Bureau, Jiangsu Province, China.
  • Yu D; Faculty of Geographical Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China.
PLoS One ; 19(5): e0301759, 2024.
Article em En | MEDLINE | ID: mdl-38776270
ABSTRACT
Large differences in projected future annual precipitation increases in North America exists across 27 CMIP6 models under four emission scenarios. These differences partly arise from weak representations of land-atmosphere interactions. Here we demonstrate an emergent constraint relationship between annual growth rates of future precipitation and growth rates of historical temperature. The original CMIP6 projections show 0.49% (SSP126), 0.98% (SSP245), 1.45% (SSP370) and 1.92% (SSP585) increases in precipitation per decade. Combining observed warming trends, the constrained results show that the best estimates of future precipitation increases are more likely to reach 0.40-0.48%, 0.83-0.93%, 1.29-1.45% and 1.70-1.87% respectively, implying an overestimated future precipitation increases across North America. The constrained results also are narrow the corresponding uncertainties (standard deviations) by 13.8-31.1%. The overestimated precipitation growth rates also reveal an overvalued annual growth rates in temperature (6.0-13.2% or 0.12-0.37°C) and in total evaporation (4.8-14.5%) by the original models' predictions. These findings highlight the important role of temperature for accurate climate predictions, which is important as temperature from current climate models' simulations often still have systematic errors.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Chuva País/Região como assunto: America do norte Idioma: En Revista: PLoS One Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Chuva País/Região como assunto: America do norte Idioma: En Revista: PLoS One Ano de publicação: 2024 Tipo de documento: Article