Impacts of Variations in Caspian Sea Surface Area on Catchment-Scale and Large-Scale Climate

Sifan A. Koriche*, Sri D. Nandini-Weiss, Matthias Prange, Joy S. Singarayer, Klaus Arpe, Hannah L. Cloke, Michael Schulz, Pepijn Bakker, Suzanne A.G. Leroy, Michael Coe

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The Caspian Sea (CS) is the largest inland lake in the world. Large variations in sea level and surface area occurred in the past and are projected for the future. The potential impacts on regional and large-scale hydroclimate are not well understood. Here, we examine the impact of CS area on climate within its catchment and across the northern hemisphere, for the first time with a fully coupled climate model. The Community Earth System Model (CESM1.2.2) is used to simulate the climate of four scenarios: (a) larger than present CS area, (b) current area, (c) smaller than present area, and (d) no-CS scenario. The results reveal large changes in the regional atmospheric water budget. Evaporation (e) over the sea increases with increasing area, while precipitation (P) increases over the south-west CS with increasing area. P-E over the CS catchment decreases as CS surface area increases, indicating a dominant negative lake-evaporation feedback. A larger CS reduces summer surface air temperatures and increases winter temperatures. The impacts extend eastwards, where summer precipitation is enhanced over central Asia and the north-western Pacific experiences warming with reduced winter sea ice. Our results also indicate weakening of the 500-hPa troughs over the northern Pacific with larger CS area. We find a thermal response triggers a southward shift of the upper troposphere jet stream during summer. Our findings establish that changing CS area results in climate impacts of such scope that CS area variations should be incorporated into climate model simulations, including palaeo and future scenarios.

Original languageEnglish
Article numbere2020JD034251
Pages (from-to)1-17
Number of pages17
JournalJournal of Geophysical Research: Atmospheres
Volume126
Issue number18
Early online date9 Sept 2021
DOIs
Publication statusPublished - 27 Sept 2021

Bibliographical note

Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 642973; and the U.K.'s Natural Environment Research Council (NERC). The Evolution of Global Flood Risk (EVOFLOOD) Project Grant NE/S015590/1. All CESM simulations were performed on the supercomputer of the Norddeutscher Verbund fur Hoch-und Hochstleistungrechnen (HLRN3).

Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska‐Curie Grant Agreement No. 642973; and the U.K.'s Natural Environment Research Council (NERC). The Evolution of Global Flood Risk (EVOFLOOD) Project Grant NE/S015590/1. All CESM simulations were performed on the supercomputer of the Norddeutscher Verbund fur Hoch‐und Hochstleistungrechnen (HLRN3).

Publisher Copyright:
© 2021. The Authors.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Funding

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 642973; and the U.K.'s Natural Environment Research Council (NERC). The Evolution of Global Flood Risk (EVOFLOOD) Project Grant NE/S015590/1. All CESM simulations were performed on the supercomputer of the Norddeutscher Verbund fur Hoch-und Hochstleistungrechnen (HLRN3). This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska‐Curie Grant Agreement No. 642973; and the U.K.'s Natural Environment Research Council (NERC). The Evolution of Global Flood Risk (EVOFLOOD) Project Grant NE/S015590/1. All CESM simulations were performed on the supercomputer of the Norddeutscher Verbund fur Hoch‐und Hochstleistungrechnen (HLRN3).

FundersFunder number
Norddeutscher Verbund fur Hoch-und Hochstleistungrechnen
Horizon 2020 Framework Programme
Natural Environment Research CouncilNE/S015590/1
Horizon 2020642973

    Keywords

    • Caspian Sea
    • CESM1.2.2 model
    • evaporation
    • precipitation
    • subtropical jet

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