Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Joerg Bendix"'
Autor:
Thomas Brenner, Ann-Christine Link, Saeed A. Khan, Christoph Reudenbach, Joerg Bendix, Max Kutzinski, Barbara C. Weckler, Hendrik Pott, Jan Rupp, Martin Witzenrath, Gernot Rohde, Mathias W. Pletz, Wilhelm Bertrams, Bernd Schmeck
Publikováno v:
Frontiers in Climate, Vol 6 (2024)
Community-acquired pneumonia (CAP) is one of the most frequent causes of death among infectious diseases worldwide. There is a growing concern about weather impacts on CAP. However, no studies have examined the effects of comorbidities and personal c
Externí odkaz:
https://doaj.org/article/f63a4902588a4e4389aab460577dcd44
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Forest dynamics research is crucial in understanding the global carbon cycle and supporting various scales of forest decision-making, management, and conservation. Recent advancements in robotics and computing can be leveraged to address the need for
Externí odkaz:
https://doaj.org/article/11f71eb79f2e4fa897b2bcdd393d115f
Publikováno v:
Sensors, Vol 21, Iss 4, p 1474 (2021)
Drastic declines in insect populations are a vital concern worldwide. Despite widespread insect monitoring, the significant gaps in the literature must be addressed. Future monitoring techniques must be systematic and global. Advanced technologies an
Externí odkaz:
https://doaj.org/article/5520b7fd4eca47afa7e77fb230a76333
Autor:
Lenin Campozano, Katja Trachte, Rolando Célleri, Esteban Samaniego, Joerg Bendix, Cristóbal Albuja, John F. Mejia
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Mesoscale convective systems (MCSs) climatology, the thermodynamic and dynamical variables, and teleconnections influencing MCSs development are assessed for the Paute basin (PB) in the Ecuadorian Andes from 2000 to 2009. The seasonality of MCSs occu
Externí odkaz:
https://doaj.org/article/a3b0c233a9354e8a82d4fdd6efa1e12e
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2307 (2019)
A new satellite-based technique for rainfall retrieval in high spatio-temporal resolution (3 km, 15 min) for Iran is presented. The algorithm is based on the infrared bands of the Meteosat Second Generation Spinning Enhanced Visible and Infrared Imag
Externí odkaz:
https://doaj.org/article/579a3d1288864b028786174dafb5703b
Publikováno v:
Advances in Meteorology, Vol 2016 (2016)
Mountain regions worldwide present a pronounced spatiotemporal precipitation variability, which added to scarce monitoring networks limits our understanding of the generation processes involved. To improve our understanding of clouds and precipitatio
Externí odkaz:
https://doaj.org/article/74729d80dd174a2cb65a67e9934a927e
Publikováno v:
Digital Technologies and Applications ISBN: 9783031298561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82b4c8bdfe888901beebdd6ba76b3f14
https://doi.org/10.1007/978-3-031-29857-8_9
https://doi.org/10.1007/978-3-031-29857-8_9
Autor:
Christoph Mueller, Gerald Moser, Joerg Bendix, Jürg Luterbacher, Naiming Yuan, Wolfgang A. Obermeier
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
Scientific Reports
Scientific Reports
Terrestrial ecosystems are considered as carbon sinks that may mitigate the impacts of increased atmospheric CO2 concentration ([CO2]). However, it is not clear what their carbon sink capacity will be under extreme climatic conditions. In this study,
Autor:
Katja Trachte, Cristóbal Albuja, Lenin Campozano, Esteban Samaniego, Rolando Célleri, Joerg Bendix, John F. Mejia
Publikováno v:
Advances in Meteorology, Vol 2018 (2018)
Mesoscale convective systems (MCSs) climatology, the thermodynamic and dynamical variables, and teleconnections influencing MCSs development are assessed for the Paute basin (PB) in the Ecuadorian Andes from 2000 to 2009. The seasonality of MCSs occu
Publikováno v:
Journal of Applied Meteorology and Climatology. 57:675-694
Spatiotemporal precipitation patterns were investigated on the western slopes of the central Andes Mountains by applying EOF and cluster analysis as well as the Weather Research and Forecasting (WRF) Model. In the semiarid catchment area in the highl