Zobrazeno 1 - 10
of 339
pro vyhledávání: '"W Mauser"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 1119-1133 (2018)
Agriculture is the largest global consumer of water. Irrigated areas constitute 40 % of the total area used for agricultural production (FAO, 2014a) Information on their spatial distribution is highly relevant for regional water management and food s
Externí odkaz:
https://doaj.org/article/f4bd2bee2b9343738a6407652dfd1194
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
Graphene-plasmon optical modulators with broadly tunable operating frequencies are sought for photonic applications. Here, Kim et al.demonstrate tunable mid-infrared transmission that utilizes resonant absorption in graphene ribbons to modulate the e
Externí odkaz:
https://doaj.org/article/e4acc6755be2467f9577ef278ad89b02
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 1-7 (2015)
To support food security, information products about the actual cropping area per crop type, the current status of agricultural production and estimated yields, as well as the sustainability of the agricultural management are necessary. Based on this
Externí odkaz:
https://doaj.org/article/021a019000a84c999ff75d2e59e12749
Akademický článek
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Autor:
Sophie Meuret, Matthias Liebtrau, Toon Coenen, Silke Christiansen, Albert Polman, Kelly W. Mauser, Magdalena Solà-Garcia
Publikováno v:
ACS photonics
ACS photonics, American Chemical Society, 2021, 8 (3), pp.916-925. ⟨10.1021/acsphotonics.0c01939⟩
ACS photonics, 2021, 8 (3), pp.916-925. ⟨10.1021/acsphotonics.0c01939⟩
ACS Photonics
ACS photonics, American Chemical Society, 2021, 8 (3), pp.916-925. ⟨10.1021/acsphotonics.0c01939⟩
ACS photonics, 2021, 8 (3), pp.916-925. ⟨10.1021/acsphotonics.0c01939⟩
ACS Photonics
International audience; Photon bunching in incoherent cathodoluminescence (CL) spectroscopy originates from the fact that a single high-energy electron can generate multiple photons when interacting with a material, thus, revealing key properties of
Publikováno v:
The Cryosphere, Vol 7, Iss 3, Pp 889-904 (2013)
Water supply of most lowland cultures heavily depends on rain and melt water from the upstream mountains. Especially melt-water release of alpine mountain ranges is usually attributed a pivotal role for the water supply of large downstream regions. W
Externí odkaz:
https://doaj.org/article/8228a8e874364adb936846cefae6fe8c
Publikováno v:
Hydrology and Earth System Sciences, Vol 17, Iss 5, Pp 1705-1714 (2013)
Most land surface hydrological models (LSHMs) consider land surface processes (e.g. soil–plant–atmosphere interactions, lateral water flows, snow and ice) in a spatially detailed manner. The atmosphere is considered as exogenous driver, neglectin
Externí odkaz:
https://doaj.org/article/3e0cfa0e1bde41eb8660dd1079216b21
Publikováno v:
Hydrology and Earth System Sciences, Vol 16, Iss 10, Pp 3517-3533 (2012)
Soil Moisture and Ocean Salinity (SMOS) L1c brightness temperature and L2 optical depth data are analysed with a coupled land surface (PROMET) and radiative transfer model (L-MEB). The coupled models are validated with ground and airborne measurement
Externí odkaz:
https://doaj.org/article/1dd4432288fc432f8734c008efef9c64
Publikováno v:
Hydrology and Earth System Sciences, Vol 16, Iss 3, Pp 1017-1031 (2012)
Downstream models are often used in order to study regional impacts of climate and climate change on the land surface. For this purpose, they are usually driven offline (i.e., 1-way) with results from regional climate models (RCMs). However, the offl
Externí odkaz:
https://doaj.org/article/c9751e2285fe4a2ea9ce5c43550c43dd
Publikováno v:
Geoscientific Model Development, Vol 4, Iss 3, Pp 759-770 (2011)
The present study investigates a statistical approach for the downscaling of climate simulations focusing on those meteorological parameters most commonly required as input for climate change impact models (temperature, precipitation, air humidity an
Externí odkaz:
https://doaj.org/article/a6700282d5414456883ee026ed660cdf