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  • 1
    Publication Date: 2020-02-06
    Description: Trade-wind cumuli constitute the cloud type with the highest frequency of occurrence on Earth, and it has been shown that their sensitivity to changing environmental conditions will critically influence the magnitude and pace of future global warming. Research over the last decade has pointed out the importance of the interplay between clouds, convection and circulation in controling this sensitivity. Numerical models represent this interplay in diverse ways, which translates into different responses of trade-cumuli to climate perturbations. Climate models predict that the area covered by shallow cumuli at cloud base is very sensitive to changes in environmental conditions, while process models suggest the opposite. To understand and resolve this contradiction, we propose to organize a field campaign aimed at quantifying the physical properties of trade-cumuli (e.g., cloud fraction and water content) as a function of the large-scale environment. Beyond a better understanding of clouds-circulation coupling processes, the campaign will provide a reference data set that may be used as a benchmark for advancing the modelling and the satellite remote sensing of clouds and circulation. It will also be an opportunity for complementary investigations such as evaluating model convective parameterizations or studying the role of ocean mesoscale eddies in air–sea interactions and convective organization
    Type: Article , PeerReviewed
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  • 2
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    In:  (Diploma thesis), Christian-Albrechts-Universität Kiel, Kiel, Germany, 102 pp
    Publication Date: 2021-01-06
    Description: Evaporation/condensation at the ocean surface is an important factor of energy transport between ocean and atmosphere. This latent heat flux LE is usually determined from ship observations of SST, specific humidity and windspeed using the bulk formula. This study shows how microwave soundings by the SMMR flown on NIMBUS 7 can be used to estimate LE globaly. In July 83 the data of the SMMR are strongly affected by solar heating of the instrument. Over the North Atlantic Ocean the ascending parts of the orbits give better results than the descending ones. In addition parameters derived from SMMR measurements (SST and total water vapor amount W) have to be corrected for a systematic error. Data of the descending parts have been neglected. Infrared da ta from the AVHRR have been used to correct the sea surface temperature. After the correction the monthly mean values for 1° x 1° bins show a higher accuracy (0.95 K) as ship values (1.28 K). The correction of W is based an a comparision with rawinsonde data. Several methods have been tested to determine the surface-level humidity from SST and W. A global regression gives the best results. SMMR data can only provide low accuracy windspeeds. Therefore a wind field is used, which is determined from ship observations of wind and surface pressure by an objective analysis (Bumke & Hasse 1989). Latent heat flux is estimated from these parameters for actual satellite orbits and the monthly mean of July 83 with a 1° x 1° resolution. The resulting LE-field shows the same pattern as the ship results but has more structures.
    Type: Thesis , NonPeerReviewed
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  • 3
    Publication Date: 2023-01-04
    Description: Highlights: • Wind-PV power mix beneficial for balancing variability due to weather. • Ratio of 45–57% for PV over PV plus wind power maximises balancing effects. • Simultaneous extremes in wind and PV power occur on less than 10% of the days. Abstract: The increasing use of wind and solar power requires interventions to balance the associated variability in energy production. One option to reduce the costly interventions is to exploit the natural de-correlation of wind and irradiance. This study characterises the balancing potential of the natual variability in wind and photovoltaic energy production within and across eleven European countries. We use 20 years of highly resolved meteorological data from a post-processed regional reanalysis with a 6 km horizontal grid to calculate daily photovoltaic and wind power. Our results suggest a country-dependent reduction of the day-to-day variability in energy production by 29%–42% due to installing both PV and wind power capacities, compared to wind power only. The optimized photovoltaic to photovoltaic plus wind power generation ratios are 45–57% for maximizing balancing effects associated with the changing weather. We further identify on less than 10% of the days a simultaneous occurrence of extremes in photovoltaic and wind power across European countries. The cross-border balancing potentials for the extremes in renewable energy production are therefore high due to the spatio-temporal differences of the local weather.
    Type: Article , PeerReviewed
    Format: text
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