Projections of Global Land Runoff Changes and Their Uncertainty Characteristics During the 21st Century. Issue 4 (14th April 2023)
- Record Type:
- Journal Article
- Title:
- Projections of Global Land Runoff Changes and Their Uncertainty Characteristics During the 21st Century. Issue 4 (14th April 2023)
- Main Title:
- Projections of Global Land Runoff Changes and Their Uncertainty Characteristics During the 21st Century
- Authors:
- Miao, Chiyuan
Wu, Yi
Fan, Xuewei
Su, Jiajia - Abstract:
- Abstract: Quantifying uncertainty in runoff changes has profound implications for future runoff investigations and will support global climate model improvement. We analyze the runoff changes from model outputs of the 5th and 6th Coupled Model Intercomparison Projects (CMIP5 and CMIP6) and decompose the uncertainty of projected runoff changes into three main sources: internal variability, model uncertainty, and scenario uncertainty. The results indicate that 73% and 72% of the global land area, respectively, shows an increase in runoff for CMIP5 and CMIP6 under the high‐emissions scenarios in the long term (2070–2099) relative to 1970–1999, and runoff across all global land increases by 10.8% under the RCP8.5 scenario and 16.1% under SSP5–8.5 during 2070–2099 relative to 1970–1999. Regions with increasing runoff are mainly in Southeast Asia, eastern Africa, the Qinghai‐Tibet Plateau and the high latitudes of the Northern Hemisphere. Model agreement during 2070–2099 for runoff changes under the high‐emissions scenarios is greater than under the low‐emissions scenarios. For uncertainty of relative changes in runoff (RRC) in CMIP6, the contribution from internal variability gradually decreases over time (from 49.2% to 2.0%) while the contribution from scenario uncertainty increases (from 0.6% to 30.0%); this result is similar in CMIP5. Spatially, model uncertainty in RRC has been a major source of uncertainty for CMIP5 and CMIP6, accounting for more than 60% of totalAbstract: Quantifying uncertainty in runoff changes has profound implications for future runoff investigations and will support global climate model improvement. We analyze the runoff changes from model outputs of the 5th and 6th Coupled Model Intercomparison Projects (CMIP5 and CMIP6) and decompose the uncertainty of projected runoff changes into three main sources: internal variability, model uncertainty, and scenario uncertainty. The results indicate that 73% and 72% of the global land area, respectively, shows an increase in runoff for CMIP5 and CMIP6 under the high‐emissions scenarios in the long term (2070–2099) relative to 1970–1999, and runoff across all global land increases by 10.8% under the RCP8.5 scenario and 16.1% under SSP5–8.5 during 2070–2099 relative to 1970–1999. Regions with increasing runoff are mainly in Southeast Asia, eastern Africa, the Qinghai‐Tibet Plateau and the high latitudes of the Northern Hemisphere. Model agreement during 2070–2099 for runoff changes under the high‐emissions scenarios is greater than under the low‐emissions scenarios. For uncertainty of relative changes in runoff (RRC) in CMIP6, the contribution from internal variability gradually decreases over time (from 49.2% to 2.0%) while the contribution from scenario uncertainty increases (from 0.6% to 30.0%); this result is similar in CMIP5. Spatially, model uncertainty in RRC has been a major source of uncertainty for CMIP5 and CMIP6, accounting for more than 60% of total uncertainty in most regions. The results of this study help us to better understand the uncertainty in runoff changes and also provide a theoretical basis for developing mitigation measures for future changes. Plain Language Summary: Runoff is a crucial component of hydrological cycle and an important source of water resources. The magnitude of runoff has an impact on water resources, making it an essential factor to consider in climate change research. Global climate model (GCM) has developed rapidly in the past few decades. However, the projected changes in runoff among GCMs show significant disagreement, leading to substantial uncertainty. This discrepancy greatly affects the application of GCMs in future runoff projections. The objective of this study is to (a) examine the temporal and spatial characteristics of global land runoff changes under different future scenarios; (b) investigate the agreement among GCMs regarding runoff changes; and (c) decompose the uncertainties associated with projected runoff changes over the globe and individual continents. The findings of this study will enhance our understanding of GCM characteristics and provide decision‐makers with more precise information to address future runoff changes. Key Points: Over 70% of the global land shows an increase in runoff for 5th and 6th Coupled Model Intercomparison Projects during the period 2070–2099 relative to a baseline period 1970–1999 Runoff across all global land increases by 10.8% under the RCP8.5 scenario and 16.1% under SSP5–8.5 during 2070–2099 relative to 1970–1999 Model uncertainty of projected runoff changes accounts for more than 60% of total uncertainty in most regions … (more)
- Is Part Of:
- Earth's future. Volume 11:Issue 4(2023)
- Journal:
- Earth's future
- Issue:
- Volume 11:Issue 4(2023)
- Issue Display:
- Volume 11, Issue 4 (2023)
- Year:
- 2023
- Volume:
- 11
- Issue:
- 4
- Issue Sort Value:
- 2023-0011-0004-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2023-04-14
- Subjects:
- runoff -- uncertainty -- decomposition -- global climate model -- CMIP6 -- CMIP5
Environmental sciences -- Periodicals
Environmental sciences
Periodicals
550 - Journal URLs:
- http://agupubs.onlinelibrary.wiley.com/agu/journal/10.1002/%28ISSN%292328-4277/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1029/2022EF003286 ↗
- Languages:
- English
- ISSNs:
- 2328-4277
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27105.xml