Special Issue "Regional Climate Modeling: Ocean–Atmosphere Coupling"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land - Atmosphere Interactions".

Deadline for manuscript submissions: 31 January 2020

Special Issue Editors

Guest Editor
Professor Bodo Ahrens

Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt am Main, Frankfurt, Germany
Website | E-Mail
Interests: Hydrometeorology, -climatology, climate system modelling, data assimilation, and information flow
Co-Guest Editor
Dr. Anika Obermann-Hellhund

Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt am Main, Frankfurt, Germany
Website | E-Mail
Interests: ocean-atmosphere interactions; regional winds; climate simulations of Europe and its marginal seas; islands

Special Issue Information

Dear Colleagues,

We would like to invite you to contribute to a Special Issue of Atmospheres that will be dedicated to the field of ocean–atmosphere interactively coupled regional climate modeling. The development of high-resolution, fully-coupled climate models started in some regions (e.g., in the Baltic and Mediterranean area) more than ten years ago, but recently coupled systems including additional climate system components (e.g., ice physics, biochemistry) have been developed. Nowadays, they cover more regions of interest (e.g., the Bay of Bengal, the Arctic) and target higher-convection-permitting resolutions. Coordinated ensembles of regional coupled climate projections are part of, e.g., Med-CORDEX (http://www.medcordex.eu) and Baltic Earth (http://www.baltic.earth).  These developments are also recognized in regional climate assessment reports that rely on submitted or published papers.

The Special Issue will elucidate developments in coupled regional climate models and simulations. Both modeling studies on climate processes and studies on model evaluation and intercomparison are welcome. Manuscripts may also focus on climate predictions (from seasonal to centennial) using ensembles of coupled climate simulations and are not limited to specific areas. Studies using high-resolution simulations that, e.g., provide a better representation of processes close to the coast are encouraged. In addition, nesting and coupling strategies of different climate compartment models and new analysis techniques for the investigation of complex coupled systems applied to the air–sea challenge are of high interest.

Professor Bodo Ahrens
Dr. Anika Obermann-Hellhund
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Regional climate models
  • Interactive processes
  • Ocean–atmosphere coupling
  • High-resolution climate prediction/projections
  • Analysis methods for complex climate phenomena

Published Papers (2 papers)

View options order results:
result details:
Displaying articles 1-2
Export citation of selected articles as:

Research

Open AccessArticle
Surface Heat Budget over the North Sea in Climate Change Simulations
Atmosphere 2019, 10(5), 272; https://doi.org/10.3390/atmos10050272
Received: 2 March 2019 / Revised: 28 April 2019 / Accepted: 9 May 2019 / Published: 14 May 2019
PDF Full-text (3487 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
An ensemble of regional climate change scenarios for the North Sea is validated and analyzed. Five Coupled Model Intercomparison Project Phase 5 (CMIP5) General Circulation Models (GCMs) using three different Representative Concentration Pathways (RCPs) have been downscaled with the coupled atmosphere–ice–ocean model RCA4-NEMO. [...] Read more.
An ensemble of regional climate change scenarios for the North Sea is validated and analyzed. Five Coupled Model Intercomparison Project Phase 5 (CMIP5) General Circulation Models (GCMs) using three different Representative Concentration Pathways (RCPs) have been downscaled with the coupled atmosphere–ice–ocean model RCA4-NEMO. Validation of sea surface temperature (SST) against different datasets suggests that the model results are well within the spread of observational datasets. The ensemble mean SST with a bias of less than 1 C is the solution that fits the observations best and underlines the importance of ensemble modeling. The exchange of momentum, heat, and freshwater between atmosphere and ocean in the regional, coupled model compares well with available datasets. The climatological seasonal cycles of these fluxes are within the 95% confidence limits of the datasets. Towards the end of the 21st century the projected North Sea SST increases by 1.5 C (RCP 2.6), 2 C (RCP 4.5), and 4 C (RCP 8.5), respectively. Under this change the North Sea develops a specific pattern of the climate change signal for the air–sea temperature difference and latent heat flux in the RCP 4.5 and 8.5 scenarios. In the RCP 8.5 scenario the amplitude of the spatial heat flux anomaly increases to 5 W/m 2 at the end of the century. Different hypotheses are discussed that could contribute to the spatially non-uniform change in air–sea interaction. The most likely cause for an increased latent heat loss in the central western North Sea is a drier atmosphere towards the end of the century. Drier air in the lee of the British Isles affects the balance of the surface heat budget of the North Sea. This effect is an example of how regional characteristics modulate global climate change. For climate change projections on regional scales it is important to resolve processes and feedbacks at regional scales. Full article
(This article belongs to the Special Issue Regional Climate Modeling: Ocean–Atmosphere Coupling)
Figures

Figure 1

Open AccessArticle
Lessons from Inter-Comparison of Decadal Climate Simulations and Observations for the Midwest U.S. and Great Lakes Region
Atmosphere 2019, 10(5), 266; https://doi.org/10.3390/atmos10050266
Received: 21 April 2019 / Revised: 8 May 2019 / Accepted: 11 May 2019 / Published: 13 May 2019
PDF Full-text (4434 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Even with advances in climate modeling, meteorological impact assessment remains elusive, and decision-makers are forced to operate with potentially malinformed predictions. In this article, we investigate the dependence of the Weather Research and Forecasting (WRF) model simulated precipitation and temperature at 12- and [...] Read more.
Even with advances in climate modeling, meteorological impact assessment remains elusive, and decision-makers are forced to operate with potentially malinformed predictions. In this article, we investigate the dependence of the Weather Research and Forecasting (WRF) model simulated precipitation and temperature at 12- and 4-km horizontal resolutions and compare it with 32-km NARR data and 1/16th-degree gridded observations for the Midwest U.S. and Great Lakes region from 1991 to 2000. We used daily climatology, inter-annual variability, percentile, and dry days as metrics for inter-comparison for precipitation. We also calculated the summer and winter daily seasonal minimum, maximum, and average temperature to delineate the temperature trends. Results showed that NARR data is a useful precipitation product for mean warm season and summer climatological studies, but performs extremely poorly for winter and cold seasons for this region. WRF model simulations at 12- and 4-km horizontal resolutions were able to capture the lake-effect precipitation successfully when driven by observed lake surface temperatures. Simulations at 4-km showed negative bias in capturing precipitation without convective parameterization but captured the number of dry days and 99th percentile precipitation extremes well. Overall, our study cautions against hastily pushing for increasingly higher resolution in climate studies, and highlights the need for the careful selection of large-scale boundary forcing data. Full article
(This article belongs to the Special Issue Regional Climate Modeling: Ocean–Atmosphere Coupling)
Figures

Figure 1

Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top