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  • 1
    Online Resource
    Online Resource
    On the coupling of the oceanic North Sea model HAMSOM with the regional atmospheric model REMO (2014)
    Koblenz : bfg Bundesanstalt für Gewässerkunde, KLIWAS Koordination
    Details Availability
    Keywords: Forschungsbericht ; Nordsee ; Klima ; Modell
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (58 Seiten, 10,3 MB) , Diagramme, Karten
    Series Statement: KLIWAS Schriftenreihe 63
    URL: https://edocs.tib.eu/files/e01fn16/872644111.pdf
    URL: https://doi.org/10.5675/Kliwas_63/2014_REMO_HAMSOM_2
    DOI: 10.5675/Kliwas_63/2014_REMO_HAMSOM_2
    Language: English
    Note: Literaturverzeichnis: Seite 54
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  • 2
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    Development of Wet-Bulb-Temperatures in Germany with special regard to conventional thermal Power Plants using Wet Cooling Towers (2011)
    Schweizerbart
    Details
    Publication Date: 2011-12-21
    Print ISSN: 0941-2948
    Electronic ISSN: 1610-1227
    Topics: Geography , Physics
    Published by Schweizerbart
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  • 3
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    Improvement of simulated monsoon precipitation over South-Asia with a regionally coupled model ROM (2014)
    International Baltic Earth Secretariat
    In:  EPIC33rd International Lund Regional-Scale Climate Modelling Workshop 21st Century Challenges in Regional Climate Modelling: Workshop proceedings, Lund, Sweden, 16-19 June 2014, (International Baltic Earth Secretariat Publications ; 3), Geesthacht, International Baltic Earth Secretariat, 434 p., pp. 32-33
    Details
    Publication Date: 2015-02-17
    Description: A regional coupled atmosphere–ocean model is developed to study the monsoon climate over South Asia. Most of the climate models (both GCM and RCM) underestimate precipitation over South Asia, but overestimate precipitation over the Bay of Bengal and the equatorial Indian Ocean. These systematic differences between the models may be related to a fundamental problem of atmospheric models: the inability to simulate intraseasonal variability. The intraseasonal oscillations of the South Asian monsoon play a major role in influencing the seasonal mean monsoon characteristics and their interannual variability (Goswami and Mohan, 2001). Several GCM studies with focus on the South Asian monsoonal region have concluded that GCMs have difficulties in simulatingthe mean monsoon climate (Turner and Annamalai, 2012). RCMs do simulate better orographic induced precipitation, but also show limited ability to simulate the land precipitation (Lucas-Picher et al., 2011; Kumar et al., 2013). For this study, differences in coupled and uncoupled simulations are analyzed to investigate the effect of coupling on the simulated climate, especially precipitation spatial patterns.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
    Format: application/pdf
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  • 4
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    Regionally coupled modelling of the Tropical Atlantic (2014)
    International Baltic Earth Secretariat Publications
    In:  EPIC33rd International Lund Regional-Scale Climate Modelling Workshop 21st Century Challenges in Regional Climate Modelling: Workshop proceedings, Lund, Sweden, 16-19 June 2014, (International Baltic Earth Secretariat Publications ; 3), Geesthacht, International Baltic Earth Secretariat Publications, 434 p., pp. 57-58
    Details
    Publication Date: 2015-02-17
    Description: Currently, Global Coupled Models (GCMs) have difficulty capturing key phenomena and achieving accurate climate projections on regional and local scales because limitations in computer po wer do not allow them to reach the necessary horizontal resolutions. Regional climate models (RCMs) provide dynamically downscaled climate information within the region of interest, improving this drawback of current GCMs. At this point, naturally raises the question of how much, if any, the RCM can improve the GCMs results. It has been argued that regional models can reproduce an observed climatology but are not able to predict the change of the climatology in response to a changing climate (e.g. Kerr, 2013). However, Feser et al. (2011) could demonstrate an added value in those parameters that exhibit high spatial variability such as near surf ace temperature in different regional atmospheric models. They show that the added value originates mainly from the higher resolved orography in the regional models.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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  • 5
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    Future climate change RCP4.5 and RCP8.5 scenarios downscaling for the Northern Europe with the focus on the North and Baltic Seas. (2014)
    International Baltic Earth Secretariat Publications
    In:  EPIC33rd International Lund Regional-Scale Climate Modelling Workshop 21st Century Challenges in Regional Climate Modelling: Workshop proceedings, Lund, Sweden, 16-19 June 2014, (International Baltic Earth Secretariat Publications ; 3), Geesthacht, International Baltic Earth Secretariat Publications, 434 p., pp. 59-60
    Details
    Publication Date: 2015-02-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
    Format: application/pdf
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  • 6
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    Indian Ocean marine biogeochemical variability and its feedback on simulated South Asia climate (2022)
    In:  EPIC3Earth System Dynamics, 13(2), pp. 809-831, ISSN: 2190-4987
    Details
    Publication Date: 2022-05-01
    Description: We investigate the effect of variable marine biogeochemical light absorption on Indian Ocean sea surface temperature (SST) and how this affects the South Asian climate. In twin experiments with a regional Earth system model, we found that the average SST is lower over most of the domain when variable marine biogeochemical light absorption is taken into account, compared to the reference experiment with a constant light attenuation coefficient equal to 0.06 m−1. The most significant deviations (more than 1 ∘C) in SST are observed in the monsoon season. A considerable cooling of subsurface layers occurs, and the thermocline shifts upward in the experiment with the activated biogeochemical impact. Also, the phytoplankton primary production becomes higher, especially during periods of winter and summer phytoplankton blooms. The effect of altered SST variability on climate was investigated by coupling the ocean models to a regional atmosphere model. We find the largest effects on the amount of precipitation, particularly during the monsoon season. In the Arabian Sea, the reduction of the transport of humidity across the Equator leads to a reduction of the large-scale precipitation in the eastern part of the basin, reinforcing the reduction of the convective precipitation. In the Bay of Bengal, it increases the large-scale precipitation, countering convective precipitation decline. Thus, the key impacts of including the full biogeochemical coupling with corresponding light attenuation, which in turn depends on variable chlorophyll a concentration, include the enhanced phytoplankton primary production, a shallower thermocline, and decreased SST and water temperature in subsurface layers, with cascading effects upon the model ocean physics which further translates into altered atmosphere dynamics.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
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    Regional earth system modelling framework for CORDEX-SA: an integrated model assessment for Indian summer monsoon rainfall (2022)
    In:  EPIC3Climate Dynamics, ISSN: 0930-7575
    Details
    Publication Date: 2022-05-01
    Description: An effort is made to implement a regional earth system model (RESM); ROM, over CORDEX-South Asia (SA). The added value of RESM is assessed for mean precipitation, its variability (intraseasonal to interannual), extremes, and associated processes. In this regard, ROM’s fields are compared with the respective fields of its standalone version (REMO), the models belonging coupled model intercomparison project (CMIP5 and CMIP6), and regional climate models of CORDEX-CORE simulations. RESM shows substantial improvement for most of the Indian monsoon’s aspects; however, the magnitude of the value addition varies spatiotemporally and also with different aspects.. The improved representation of intraseasonal variability (active-break spell’s duration and intensity) and Interannual variability attributed to improved mean seasonal precipitation. Additionally, correct representation of sea surface temperature, Indian Ocean Dipole, and its underlying dynamics also contribute to improving the mean precipitation. The notable improvement is seen especially over the south-eastern regions of the Bay of Bengal (BoB) and South-Central India, where increasing (decreasing) low-pressure systems over Central India (BoB) are noticed as a consequence of air-sea coupling, leading to enhanced (reduced) precipitation over Central India (BoB), reducing dry (wet) bias found in REMO and the other models. Despite substantial improvements, RESM has a systematic wet bias in the mean precipitation associated with a warm bias over the western coast of the Arabian Sea. An overestimation of very high extreme precipitation due to the enhanced contribution of low-pressure systems indicates the model’s limitations, suggesting the need for further tuning of the RESM.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 8
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    Benefits of simulating precipitation characteristics over Africa with a regionally-coupled atmosphere–ocean model (2022)
    In:  EPIC3Climate Dynamics, ISSN: 0930-7575
    Details
    Publication Date: 2022-07-13
    Description: High-quality climate information at appropriate spatial and temporal resolution is essential to develop and provide tailored climate services for Africa. A common method to produce regional climate change data is to dynamically downscale global climate projections by means of regional climate models (RCMs). Deficiencies in the representation of the sea surface temperatures (SSTs) in earth system models (ESMs) and missing atmosphere–ocean interactions in RCMs contribute to the precipitation bias. This study analyzes the influence of the regional atmosphere–ocean coupling on simulated precipitation and its characteristics over Africa, and identifies those regions providing an added value using the regionally coupled atmosphere–ocean model ROM. For the analysis, the MPI-ESM-LR historical simulation and emission scenario RCP8.5 were dynamically downscaled with ROM at a spatial resolution of 0.22° × 0.22° for the whole African continent, including the tropical Atlantic and the Southwest Indian Ocean. The results show that reduced SST warm biases in both oceans lead to more realistic simulated precipitation over most coastal regions of Sub-Saharan Africa and over southern Africa to varying degrees depending on the season. In particular, the annual precipitation cycles over the coastal regions of the Atlantic Ocean are closer to observations. Moreover, total precipitation and extreme precipitation indices in the coupled historical simulation are significantly lower and more realistic compared to observations over the majority of the analyzed sub-regions. Finally, atmosphere–ocean coupling can amplify or attenuate climate change signals from precipitation indices or even change their sign in a regional climate projection.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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  • 9
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    Regional earth system model for CORDEX‐South Asia: A comparative assessment of RESM and ESM over the tropical Indian Ocean (2022)
    In:  EPIC3International Journal of Climatology, ISSN: 0899-8418
    Details
    Publication Date: 2022-09-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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