Zobrazeno 1 - 10
of 299
pro vyhledávání: '"F. Zabel"'
The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis
Autor:
F. Zabel, B. Poschlod
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 5383-5399 (2023)
Climate models provide the required input data for global or regional climate impact analysis in temporally aggregated form, often in daily resolution to save space on data servers. Today, many impact models work with daily data; however, sub-daily c
Externí odkaz:
https://doaj.org/article/991960416bec4fed99499d63f5156692
Autor:
J. A. Franke, C. Müller, J. Elliott, A. C. Ruane, J. Jägermeyr, A. Snyder, M. Dury, P. D. Falloon, C. Folberth, L. François, T. Hank, R. C. Izaurralde, I. Jacquemin, C. Jones, M. Li, W. Liu, S. Olin, M. Phillips, T. A. M. Pugh, A. Reddy, K. Williams, Z. Wang, F. Zabel, E. J. Moyer
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 3995-4018 (2020)
Statistical emulation allows combining advantageous features of statistical and process-based crop models for understanding the effects of future climate changes on crop yields. We describe here the development of emulators for nine process-based cro
Externí odkaz:
https://doaj.org/article/70c0cb8f17ea40308cbb142473c564ec
Autor:
J. A. Franke, C. Müller, J. Elliott, A. C. Ruane, J. Jägermeyr, J. Balkovic, P. Ciais, M. Dury, P. D. Falloon, C. Folberth, L. François, T. Hank, M. Hoffmann, R. C. Izaurralde, I. Jacquemin, C. Jones, N. Khabarov, M. Koch, M. Li, W. Liu, S. Olin, M. Phillips, T. A. M. Pugh, A. Reddy, X. Wang, K. Williams, F. Zabel, E. J. Moyer
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 2315-2336 (2020)
Concerns about food security under climate change motivate efforts to better understand future changes in crop yields. Process-based crop models, which represent plant physiological and soil processes, are necessary tools for this purpose since they
Externí odkaz:
https://doaj.org/article/06b45c48938c4f2cad569749837cc640
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:
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 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:
Hydrology and Earth System Sciences, Vol 14, Iss 10, Pp 2073-2084 (2010)
Regionalization of physical land surface models requires the supply of detailed land cover information. Numerous global and regional land cover maps already exist but generally, they do not resolve arable land into different crop types. However, arab
Externí odkaz:
https://doaj.org/article/87bb62696e714f29ac53d0313ed7eabc
Akademický článek
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Akademický článek
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Publikováno v:
Environmental Research Letters 17 (2022) 6
Environmental Research Letters
Environmental Research Letters, 17(6)
Environmental Research Letters, 17 (6), 064050
Environmental Research Letters
Environmental Research Letters, 17(6)
Environmental Research Letters, 17 (6), 064050
Land-use and land-cover changes (LULCCs) contributed around one third to the cumulative, anthropogenic CO2 emissions from 1850 to 2019. Despite its great importance, estimates of the net CO2 fluxes from LULCC (ELUC) have high uncertainties, compared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a81c97b6705a568673a60aac15b46c4
https://research.wur.nl/en/publications/land-use-change-emissions-based-on-high-resolution-activity-data-
https://research.wur.nl/en/publications/land-use-change-emissions-based-on-high-resolution-activity-data-
