Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe

Climate simulations for the North Atlantic and Europe for recent and future conditions simulated with the regionally coupled ROM model are analyzed and compared to the results from the MPI‐ESM. The ROM simulations also include a biogeochemistry and ocean tides. For recent climate conditions, ROM gen...

Full description

Bibliographic Details
Main Authors: Sein, Dmitry V., Gröger, Matthias, Cabos, William, Alvarez‐Garcia, Francisco J., Hagemann, Stefan, Pinto, Joaquim G., Izquierdo, Alfredo, Vara, Alba, Koldunov, Nikolay V., Dvornikov, Anton Yu., Limareva, Natalia, Alekseeva, Evgenia, Martinez‐Lopez, Benjamin, Jacob, Daniela
Format: Text
Language:English
Published: American Geophysical Union (AGU) 2020
Subjects:
Online Access:https://dx.doi.org/10.5445/ir/1000121025
https://publikationen.bibliothek.kit.edu/1000121025
id ftdatacite:10.5445/ir/1000121025
record_format openpolar
spelling ftdatacite:10.5445/ir/1000121025 2023-05-15T14:54:49+02:00 Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe Sein, Dmitry V. Gröger, Matthias Cabos, William Alvarez‐Garcia, Francisco J. Hagemann, Stefan Pinto, Joaquim G. Izquierdo, Alfredo Vara, Alba Koldunov, Nikolay V. Dvornikov, Anton Yu. Limareva, Natalia Alekseeva, Evgenia Martinez‐Lopez, Benjamin Jacob, Daniela 2020 PDF https://dx.doi.org/10.5445/ir/1000121025 https://publikationen.bibliothek.kit.edu/1000121025 en eng American Geophysical Union (AGU) Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de CC-BY Text article-journal Journal Article ScholarlyArticle 2020 ftdatacite https://doi.org/10.5445/ir/1000121025 2021-11-05T12:55:41Z Climate simulations for the North Atlantic and Europe for recent and future conditions simulated with the regionally coupled ROM model are analyzed and compared to the results from the MPI‐ESM. The ROM simulations also include a biogeochemistry and ocean tides. For recent climate conditions, ROM generally improves the simulations compared to the driving model MPI‐ESM. Reduced oceanic biases in the Northern Atlantic are found, as well as a better simulation of the atmospheric circulation, notably storm tracks and blocking. Regarding future climate projections for the 21st century following the RCP 4.5 and 8.5 scenarios, MPI‐ESM and ROM largely agree qualitatively on the climate change signal over Europe. However, many important differences are identified. For example, ROM shows an SST cooling in the Subpolar Gyre, which is not present in MPI‐ESM. Under the RCP8.5 scenario, ROM Arctic sea ice cover is thinner and reaches the seasonally ice‐free state by 2055, well before MPI‐ESM. This shows the decisive importance of higher ocean resolution and regional coupling for determining the regional responses to global warming trends. Regarding biogeochemistry, both ROM and MPI‐ESM simulate a widespread decline in winter nutrient concentration in the North Atlantic of up to ~35%. On the other hand, the phytoplankton spring bloom in the Arctic and in the North‐Western Atlantic starts earlier, and the yearly primary production is enhanced in the Arctic in the late 21st century. These results clearly demonstrate the added value of ROM to determine more detailed and more reliable climate projections at the regional scale. Text Arctic Climate change Global warming North Atlantic Phytoplankton Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description Climate simulations for the North Atlantic and Europe for recent and future conditions simulated with the regionally coupled ROM model are analyzed and compared to the results from the MPI‐ESM. The ROM simulations also include a biogeochemistry and ocean tides. For recent climate conditions, ROM generally improves the simulations compared to the driving model MPI‐ESM. Reduced oceanic biases in the Northern Atlantic are found, as well as a better simulation of the atmospheric circulation, notably storm tracks and blocking. Regarding future climate projections for the 21st century following the RCP 4.5 and 8.5 scenarios, MPI‐ESM and ROM largely agree qualitatively on the climate change signal over Europe. However, many important differences are identified. For example, ROM shows an SST cooling in the Subpolar Gyre, which is not present in MPI‐ESM. Under the RCP8.5 scenario, ROM Arctic sea ice cover is thinner and reaches the seasonally ice‐free state by 2055, well before MPI‐ESM. This shows the decisive importance of higher ocean resolution and regional coupling for determining the regional responses to global warming trends. Regarding biogeochemistry, both ROM and MPI‐ESM simulate a widespread decline in winter nutrient concentration in the North Atlantic of up to ~35%. On the other hand, the phytoplankton spring bloom in the Arctic and in the North‐Western Atlantic starts earlier, and the yearly primary production is enhanced in the Arctic in the late 21st century. These results clearly demonstrate the added value of ROM to determine more detailed and more reliable climate projections at the regional scale.
format Text
author Sein, Dmitry V.
Gröger, Matthias
Cabos, William
Alvarez‐Garcia, Francisco J.
Hagemann, Stefan
Pinto, Joaquim G.
Izquierdo, Alfredo
Vara, Alba
Koldunov, Nikolay V.
Dvornikov, Anton Yu.
Limareva, Natalia
Alekseeva, Evgenia
Martinez‐Lopez, Benjamin
Jacob, Daniela
spellingShingle Sein, Dmitry V.
Gröger, Matthias
Cabos, William
Alvarez‐Garcia, Francisco J.
Hagemann, Stefan
Pinto, Joaquim G.
Izquierdo, Alfredo
Vara, Alba
Koldunov, Nikolay V.
Dvornikov, Anton Yu.
Limareva, Natalia
Alekseeva, Evgenia
Martinez‐Lopez, Benjamin
Jacob, Daniela
Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe
author_facet Sein, Dmitry V.
Gröger, Matthias
Cabos, William
Alvarez‐Garcia, Francisco J.
Hagemann, Stefan
Pinto, Joaquim G.
Izquierdo, Alfredo
Vara, Alba
Koldunov, Nikolay V.
Dvornikov, Anton Yu.
Limareva, Natalia
Alekseeva, Evgenia
Martinez‐Lopez, Benjamin
Jacob, Daniela
author_sort Sein, Dmitry V.
title Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe
title_short Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe
title_full Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe
title_fullStr Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe
title_full_unstemmed Regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model ROM: 2. Studying the climate change signal in the North Atlantic and Europe
title_sort regionally coupled atmosphere ‐ ocean ‐ marine biogeochemistry model rom: 2. studying the climate change signal in the north atlantic and europe
publisher American Geophysical Union (AGU)
publishDate 2020
url https://dx.doi.org/10.5445/ir/1000121025
https://publikationen.bibliothek.kit.edu/1000121025
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Global warming
North Atlantic
Phytoplankton
Sea ice
genre_facet Arctic
Climate change
Global warming
North Atlantic
Phytoplankton
Sea ice
op_rights Creative Commons Namensnennung 4.0 International
Open Access
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/deed.de
op_rightsnorm CC-BY
op_doi https://doi.org/10.5445/ir/1000121025
_version_ 1766326561645002752