Abstract
We investigate hydrology during a past climate slightly warmer than the present: the last interglacial (LIG). With daily output of preindustrial and LIG simulations from eight new climate models we force hydrological model PCR-GLOBWB and in turn hydrodynamic model CaMa-Flood. Compared to preindustrial, annual mean LIG runoff, discharge, and 100-yr flood volume are considerably larger in the Northern Hemisphere, by 14%, 25%, and 82%, respectively. Anomalies are negative in the Southern Hemisphere. In some boreal regions, LIG runoff and discharge are lower despite higher precipitation, due to the higher temperatures and evaporation. LIG discharge is much higher for the Niger, Congo, Nile, Ganges, Irrawaddy, and Pearl and lower for the Mississippi, Saint Lawrence, Amazon, Paraná, Orange, Zambesi, Danube, and Ob. Discharge is seasonally postponed in tropical rivers affected by monsoon changes. Results agree with published proxies on the sign of discharge anomaly in 15 of 23 sites where comparison is possible.
| Original language | English |
|---|---|
| Article number | e2020GL089375 |
| Number of pages | 12 |
| Journal | Geophysical Research Letters |
| Volume | 47 |
| Issue number | 18 |
| DOIs | |
| Publication status | Published - 28 Sept 2020 |
Funding
P.?S. acknowledges funding from the NWO (Nederlandse Organisatie voor Wetenschappelijk Onderzoek) under Grant ALWOP.164, and from SCOR under Project COASTRISK. P.?W. acknowledges funding from NWO VIDI grant 016.161.324. Hydrological and hydrodynamic simulations were carried out on the Dutch national e-infrastructure (supercomputer Cartesius) with the support of SURF Cooperative. B.?L.?O.-B. acknowledges the CESM project, which is supported primarily by the National Science Foundation (NSF). This material is based upon work supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the National Science Fundation under Cooperative Agreement 1852977. Computing and data storage resources, including the Cheyenne supercomputer (doi:http://10.5065/D6RX99HX), were provided by the Computational and Information Systems Laboratory (CISL) at NCAR. Q.?Z. acknowledges funding support from Swedish Research Council VR (2013-06476 and 2017-04232). We thank Jian Cao for providing data of climate model NUIST-CSM.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- floods
- global models
- hydrology
- last interglacial
- paleoclimate
- river discharge
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