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  • 1
    Keywords: Nordsee ; Ostsee ; Klimatologie ; Modellierung
    Description / Table of Contents: Aus den Monatsmitteln der Modellergebnisse des Regionalmodells HAMSON für das Gebiet von Nordsee und Ostsee wurden monatliche Klimatologien des Wärmeinhaltes auf dem Modellgitter bestimmt. Das Regionalmodell wurde über den Zeitraum 1958 bis 1997 integriert. Als atmosphärisches Forcing wurde der NCEP Re-Analyse Datensatz benutzt. (MOD)
    Type of Medium: Book
    Pages: 208 S , graph Darst., Kt
    Series Statement: Berichte aus dem Zentrum für Meeres- und Klimaforschung 42
    Language: German
    Note: Literaturverz. S. 194
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  • 2
    Keywords: Nordsee ; Klimatologie ; Wärme ; Salzgehalt ; Modellierung ; Ostsee ; Klimatologie ; Wärme ; Salzgehalt ; Modellierung
    Type of Medium: Book
    Pages: 208 S. , graph Darst., Kt.
    Series Statement: Berichte aus dem Zentrum für Meeres- und Klimaforschung 45
    Language: German
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  • 3
    Keywords: Ocean circulation Mexico, Gulf of ; Mathematical models ; Dissertation ; Hochschulschrift
    Type of Medium: Book
    Pages: 134 S , graph. Darst., Kt , 30 cm
    Series Statement: Berichte aus dem Zentrum für Meeres- und Klimaforschung Nr. 42
    Language: English
    Note: Literaturverz. S. 130 - 134 , Zugl.: Hamburg, Univ., FB Geowiss., Diss., 2002
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  • 4
    Publication Date: 2018-11-06
    Description: This paper has a twofold objective: First, to estimate the changes in landings value by 2030 for two Mexican coastal fisheries, specifically shrimp and sardine fisheries, as a consequence of climate change; and second, to discuss the implications of such impacts for food security. A dynamic panel model was used for the Mexican fisheries sector, with data from 1990 through 2009. The results suggest that shrimp production will be negatively affected, while in contrast, the sardine fishery is expected to benefit from the increase in temperature. Most losses/gains would be observed in the NW Mexican Pacific, where the fishing sector has an important role in the local economy, representing a risk to food security in both direct and indirect ways.
    Keywords: C23 ; Q22 ; Q51 ; Q54 ; ddc:330 ; climate change ; crop production ; scenarios ; food security ; futures ; modeling ; monetary estimation ; climate change ; Mexico ; shrimp fishery ; sardine fishery ; food security
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:article
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  • 5
    Publication Date: 2013-05-22
    Description: This paper has a two-fold objective. First, to estimate the changes in landings value by 2030 of two Mexican coastal fisheries: shrimp and sardines as a consequence of climate change. And second, to discuss the implications for food security of such impacts. We estimated output equations using a dynamic panel model for the Mexican fisheries sector with data from 1990 through 2009. Scenarios were generated for the expected changes in fish production. Our results suggest that shrimp production will be negatively affected in about 1.1% in decreasing catch for every 1% of temperature increase by 2030. In contrast, the sardine fishery would benefit by approximately a 4% increase in production for every 1% increase in temperature. For the shrimp fishery, losses amount from US$ 95 million (discount rate = 4%) to US$ 444 million (discount rate = 1%). For the sardine fishery, gains range from US$ 46 million (discount rate = 4%) to US$ 184 million (discount rate = 1%). Most losses/gains would be observed in the NW Mexican Pacific, where the fishing sector has an important role in the local economy and represents therefore a risk to food security on a local basis.
    Keywords: Q51 ; C23 ; Q22 ; Q54 ; ddc:330 ; monetary estimation ; climate change ; Mexico ; shrimp fishery ; sardine fishery ; food security
    Repository Name: EconStor: OA server of the German National Library of Economics - Leibniz Information Centre for Economics
    Language: English
    Type: doc-type:workingPaper
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  • 6
    Publication Date: 2018-08-27
    Description: The climate in Mexico and Central America is influenced by the Pacific and the Atlantic oceanic basins and atmospheric conditions over continental North and South America. These factors and important ocean–atmosphere coupled processes make the region’s climate a great challenge for global and regional climate modeling. We explore the benefits that coupled regional climate models may introduce in the representation of the regional climate with a set of coupled and uncoupled simulations forced by reanalysis and global model data. Uncoupled simulations tend to stay close to the large-scale patterns of the driving fields, particularly over the ocean, while over land they are modified by the regional atmospheric model physics and the improved orography representation. The regional coupled model adds to the reanalysis forcing the air–sea interaction, which is also better resolved than in the global model. Simulated fields are modified over the ocean, improving the representation of the key regional structures such as the Intertropical Convergence Zone and the Caribbean Low Level Jet. Higher resolution leads to improvements over land and in regions of intense air–sea interaction, e.g., off the coast of California. The coupled downscaling improves the representation of the Mid Summer Drought and the meridional rainfall distribution in southernmost Central America. Over the regions of humid climate, the coupling corrects the wet bias of the uncoupled runs and alleviates the dry bias of the driving model, yielding a rainfall seasonal cycle similar to that in the reanalysis-driven experiments.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
    Format: application/pdf
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  • 7
    Publication Date: 2020-07-06
    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.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
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