Siebert, Stefan

[["dc.bibliographiccitation.firstpage","141"],["dc.bibliographiccitation.journal","Climate Research"],["dc.bibliographiccitation.lastpage","157"],["dc.bibliographiccitation.volume","65"],["dc.contributor.author","Zhao, H.-G."],["dc.contributor.author","Hoffmann, Holger"],["dc.contributor.author","van Bussel, Lenny G. J."],["dc.contributor.author","Enders, Andreas"],["dc.contributor.author","Specka, Xenia"],["dc.contributor.author","Sosa, C."],["dc.contributor.author","Yeluripati, J."],["dc.contributor.author","Tao, Fulu"],["dc.contributor.author","Constantin, Julie"],["dc.contributor.author","Raynal, Helene"],["dc.contributor.author","Teixeira, Edmar"],["dc.contributor.author","Grosz, B."],["dc.contributor.author","Doro, Luca"],["dc.contributor.author","Zhao, Zhigan"],["dc.contributor.author","Nendel, Claas"],["dc.contributor.author","Kiese, Ralf"],["dc.contributor.author","Eckersten, Henrik"],["dc.contributor.author","Haas, Edwin"],["dc.contributor.author","Vanuytrecht, E."],["dc.contributor.author","Wang, Enli"],["dc.contributor.author","Kuhnert, Matthias"],["dc.contributor.author","Trombi, Giacomo"],["dc.contributor.author","Moriondo, Marco"],["dc.contributor.author","Bindi, Marco"],["dc.contributor.author","Lewan, Elisabet"],["dc.contributor.author","Bach, M."],["dc.contributor.author","Kersebaum, Kurt Christian"],["dc.contributor.author","Rötter, Reimund Paul"],["dc.contributor.author","Roggero, Pier Paolo"],["dc.contributor.author","Wallach, Daniel"],["dc.contributor.author","Cammarano, Davide"],["dc.contributor.author","Asseng, Senthold"],["dc.contributor.author","Krauss, G."],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Gaiser, Thomas"],["dc.contributor.author","Ewert, Frank"],["dc.date.accessioned","2017-09-07T11:47:54Z"],["dc.date.available","2017-09-07T11:47:54Z"],["dc.date.issued","2015"],["dc.description.abstract","We assessed the weather data aggregation effect (DAE) on the simulation of cropping systems for different crops, response variables, and production conditions. Using 13 process-based crop models and the ensemble mean, we simulated 30 yr continuous cropping systems for 2 crops (winter wheat and silage maize) under 3 production conditions for the state of North Rhine-Westphalia, Germany. The DAE was evaluated for 5 weather data resolutions (i.e. 1, 10, 25, 50, and 100 km) for 3 response variables including yield, growing season evapotranspiration, and water use efficiency. Five metrics, viz. the spatial bias (Δ), average absolute deviation (AAD), relative AAD, root mean squared error (RMSE), and relative RMSE, were used to evaluate the DAE on both the input weather data and simulated results. For weather data, we found that data aggregation narrowed the spatial variability but widened the Δ, especially across mountainous areas. The DAE on loss of spatial heterogeneity and hotspots was stronger than on the average changes over the region. The DAE increased when coarsening the spatial resolution of the input weather data. The DAE varied considerably across different models, but changed only slightly for different production conditions and crops. We conclude that if spatially detailed information is essential for local management decision, higher resolution is desirable to adequately capture the spatial variability for heterogeneous regions. The required resolution depends on the choice of the model as well as the environmental condition of the study area."],["dc.identifier.doi","10.3354/cr01301"],["dc.identifier.gro","3149393"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6064"],["dc.language.iso","en"],["dc.notes.intern","Roetter Crossref Import"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0936-577X"],["dc.title","Effect of weather data aggregation on regional crop simulation for different crops, production conditions, and response variables"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","55"],["dc.bibliographiccitation.journal","Agricultural and Forest Meteorology"],["dc.bibliographiccitation.lastpage","70"],["dc.bibliographiccitation.volume","233"],["dc.contributor.author","Eyshi Rezaei, Ehsan"],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Ewert, Frank"],["dc.date.accessioned","2021-06-14T19:08:45Z"],["dc.date.available","2021-06-14T19:08:45Z"],["dc.date.issued","2017"],["dc.description.abstract","Growing evidence suggests that the warming trend observed in many parts of the world has considerably modified crop phenology during the last decades but little is known about the impact of changes in crop management on crop phenology and possible interactions with temperature increase, and whether responses can be generalized across crop types. Here we evaluate the effects of climate and management on crop phenology by using observations for winter rapeseed and winter rye obtained in Germany for the period 1960–2013 by using piecewise linear regressions of temperature and phenology data on year. We show that long-term trends in crop phenology are crop-specific. The length of the vegetative phase of winter rapeseed declined by 4.8 days per decade in the period 1979–2013. However, the corresponding decline for winter rye was only 1.3 days per decade in the period 1978–2013 with the difference caused by change in management practices such as the introduction of early flowering cultivars of winter rapeseed or changes in sowing date of winter rapeseed and winter rye during the last decades in Germany. The length of the reproductive phase of winter rye declined by 0.9 days per decade between 1976 and 2013 in response to the warming trend in that period. In contrast, the extended use of late maturing cultivars with a longer grain filling period and changed planting densities over-compensated for the effect of increasing temperature on the length of the reproductive phase of winter rapeseed and caused an increasing trend of 2.0 days per decade between 1992 and 2013. The sowing date of winter rye advanced by 1.3 days per decade in the period 1972–2013. The length of the phase between maturity and harvest increased considerably for both crops and compensated partly for the effect of increasing temperature to shorten the preceding phenological phases. We conclude that it is essential to account for interactions between climate and crop management in climate change impact analysis and assessment studies and that differences among crops need to be considered."],["dc.identifier.doi","10.1016/j.agrformet.2016.11.003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87204"],["dc.language.iso","en"],["dc.relation.issn","0168-1923"],["dc.title","Climate and management interaction cause diverse crop phenology trends"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","064058"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Environmental Research Letters"],["dc.bibliographiccitation.volume","16"],["dc.contributor.affiliation","Rezaei, Ehsan Eyshi;"],["dc.contributor.affiliation","Ghazaryan, Gohar;"],["dc.contributor.affiliation","Moradi, Rooholla;"],["dc.contributor.affiliation","Dubovyk, Olena;"],["dc.contributor.affiliation","Siebert, Stefan;"],["dc.contributor.author","Eyshi Rezaei, Ehsan"],["dc.contributor.author","Ghazaryan, Gohar"],["dc.contributor.author","Moradi, Rooholla"],["dc.contributor.author","Dubovyk, Olena"],["dc.contributor.author","Siebert, Stefan"],["dc.date.accessioned","2021-06-14T16:54:36Z"],["dc.date.available","2021-06-14T16:54:36Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:18:56Z"],["dc.description.abstract","Increasing population and a severe water crisis are imposing growing pressure on Iranian cropping systems to increase crop production to meet the rising demand for food. Little is known about the separate contribution of trends and variability of the harvested area and yield to crop production in severely drought-prone areas such as Iran. In this study we (a) quantify the importance of harvested area and yield on trends and variability of crop production for the 12 most important annual crops under rainfed and irrigated conditions and (b) test how well the variability in annual crop areas can be explained by drought dynamics. We use remote sensing based land cover and evapotranspiration products derived from the Moderate Resolution Imaging Spectroradiometer to quantify the extent of cropland and drought severity as well as survey-based, crop-specific reports for the period 2001–2016 in Iran. The intensity of drought stress was estimated using the annual ratio between actual and potential evapotranspiration. We found that trends in the production of specific crops are predominantly explained by trends in harvested crop area. Besides, the variability in the harvested area contributed significantly more to the variability in crop production than the variability in crop yields, particularly under rainfed conditions (seven out of nine crops). In contrast, variability in the production of heavily subsidized crops such as wheat was predominantly explained by yield variability. Variability in the annual cropland area was largely explained by drought, in particular for the more arid regions in the south of the country. This highlights the importance of better and proactive drought management to stabilize crop areas and yields for sufficient food production in Iran."],["dc.description.sponsorship","Bundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347"],["dc.identifier.doi","10.1088/1748-9326/abfe29"],["dc.identifier.eissn","1748-9326"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87201"],["dc.language.iso","en"],["dc.publisher","IOP Publishing"],["dc.relation.issn","1748-9326"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0"],["dc.title","Crop harvested area, not yield, drives variability in crop production in Iran"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","104003"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Environmental Research Letters"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Ahrends, H E"],["dc.contributor.author","Eugster, W"],["dc.contributor.author","Gaiser, T"],["dc.contributor.author","Rueda-Ayala, V"],["dc.contributor.author","Hüging, H"],["dc.contributor.author","Ewert, F"],["dc.contributor.author","Siebert, S"],["dc.date.accessioned","2020-12-10T18:15:58Z"],["dc.date.available","2020-12-10T18:15:58Z"],["dc.date.issued","2018"],["dc.description.abstract","For highly productive regions such as Germany, the increase of wheat grain yields observed throughout the 20th century is largely attributed to the progress in crop breeding and agronomic management. However, several studies indicate a strong variability of the genetic contribution across locations that further varies with experimental design and variety selection. It is therefore still unclear to which extent management conditions have promoted the realization of the breeding progress in Germany over the last 100+ years. We established a side-by-side cultivation experiment over two seasons (2014/2015 and 2015/2016) including 16 winter wheat varieties released in Germany between 1895 and 2007. The varieties were grown using 24 different long-term fertilization treatments established since 1904 (Dikopshof, Germany). Averaged over all cultivars and treatments mean yields of 6.88 t ha−1 and 5.15 t ha−1 were estimated in 2015 and 2016, respectively. A linear mixed effects analysis was performed to study the treatment-specific relation between grain yields and year of variety release. Results indicate a linear increase in grain yields ranging from 0.025 to 0.032 t ha−1 yr−1 (0.304 to 0.387% yr−1) in plots that were treated with combined synthetic-organic fertilizers without signs of a leveling-off. Yields from low or unfertilized plots do not show a significant progress in yield. Responsiveness of mean yields to fertilizer management increases with year of release and indicates small yield penalties under very low nutrient supply. Results highlight the need to consider the importance of long-term soil fertilization management for the realization of genetic gains and the value of long-term fertilization experiments to study interactions between genetic potential and management."],["dc.identifier.doi","10.1088/1748-9326/aade12"],["dc.identifier.eissn","1748-9326"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/75009"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Genetic yield gains of winter wheat in Germany over more than 100 years (1895–2007) under contrasting fertilizer applications"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","198"],["dc.bibliographiccitation.issue","3-4"],["dc.bibliographiccitation.journal","Journal of Hydrology"],["dc.bibliographiccitation.lastpage","217"],["dc.bibliographiccitation.volume","384"],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Döll, Petra"],["dc.date.accessioned","2021-06-30T13:03:56Z"],["dc.date.available","2021-06-30T13:03:56Z"],["dc.date.issued","2010"],["dc.description.abstract","Crop production requires large amounts of green and blue water. We developed the new global crop water model GCWM to compute consumptive water use (evapotranspiration) and virtual water content (evapotranspiration per harvested biomass) of crops at a spatial resolution of 5′ by 5′, distinguishing 26 crop classes, and blue versus green water. GCWM is based on the global land use data set MIRCA2000 that provides monthly growing areas for 26 crop classes under rainfed and irrigated conditions for the period 1998–2002 and represents multi-cropping. By computing daily soil water balances, GCWM determines evapotranspiration of blue and green water for each crop and grid cell. Cell-specific crop production under both rainfed and irrigated conditions is computed by downscaling average crop yields reported for 402 national and sub-national statistical units, relating rainfed and irrigated crop yields reported in census statistics to simulated ratios of actual to potential crop evapotranspiration for rainfed crops. By restricting water use of irrigated crops to green water only, the potential production loss without any irrigation was computed. For the period 1998–2002, the global value of total crop water use was 6685 km3 yr−1, of which blue water use was 1180 km3 yr−1, green water use of irrigated crops was 919 km3 yr−1 and green water use of rainfed crops was 4586 km3 yr−1. Total crop water use was largest for rice (941 km3 yr−1), wheat (858 km3 yr−1) and maize (722 km3 yr−1). The largest amounts of blue water were used for rice (307 km3 yr−1) and wheat (208 km3 yr−1). Blue water use as percentage of total crop water use was highest for date palms (85%), cotton (39%), citrus fruits (33%), rice (33%) and sugar beets (32%), while for cassava, oil palm and cocoa, almost no blue water was used. Average crop yield of irrigated cereals was 442 Mg km−2 while average yield of rainfed cereals was only 266 Mg km−2. Average virtual water content of cereal crops was 1109 m3 Mg−1 of green water and 291 m3 Mg−1 of blue water, while average crop water productivity of cereal crops was 714 g m−3. If currently irrigated crops were not irrigated, global production of dates, rice, cotton, citrus and sugar cane would decrease by 60%, 39%, 38%, 32% and 31%, respectively. Forty-three per cent of cereal production was on irrigated land, and without irrigation, cereal production on irrigated land would decrease by 47%, corresponding to a 20% loss of total cereal production. The largest cereal production losses would occur in Northern Africa (66%) and Southern Asia (45%) while losses would be very low for Northern Europe (0.001%), Western Europe (1.2%), Eastern Europe (1.5%) and Middle Africa (1.6%). Uncertainties and limitations are discussed in the manuscript, and a comparison of GCWM results to statistics or results of other studies shows good agreement at the regional scale, but larger differences for specific countries."],["dc.identifier.doi","10.1016/j.jhydrol.2009.07.031"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87435"],["dc.language.iso","en"],["dc.relation.issn","0022-1694"],["dc.title","Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigation"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4068"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Geophysical Research Letters"],["dc.bibliographiccitation.lastpage","4076"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Keune, Jessica"],["dc.contributor.author","Sulis, Mauro"],["dc.contributor.author","Kollet, Stefan"],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Wada, Yoshihide"],["dc.date.accessioned","2020-12-10T18:09:22Z"],["dc.date.available","2020-12-10T18:09:22Z"],["dc.date.issued","2018"],["dc.description.abstract","In the hydrologic cycle, continental landmasses constitute a sink for atmospheric moisture as annual terrestrial precipitation commonly exceeds evapotranspiration. Simultaneously, humans intervene in the hydrologic cycle and pump groundwater to sustain, for example, drinking water and food production. Here we use a coupled groundwater-to-atmosphere modeling platform, set up over the European continent, to study the influence of groundwater pumping and irrigation on the net atmospheric moisture import of the continental landmasses, which defines the strength of the continental sink. Water use scenarios are constructed to account for uncertainties of atmospheric feedback during the heatwave year 2003. We find that human water use induces groundwater-to-atmosphere feedback, which potentially weaken the continental sink over arid watersheds in southern Europe. This feedback is linked to groundwater storage, which suggests that atmospheric feedbacks to human water use may contribute to drying of watersheds, thereby raising water resources and socio-economic concerns beyond local sustainability considerations."],["dc.identifier.doi","10.1029/2018GL077621"],["dc.identifier.issn","0094-8276"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73629"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Department für Nutzpflanzenwissenschaften"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.relation.orgunit","Abteilung Pflanzenbau"],["dc.title","Human Water Use Impacts on the Strength of the Continental Sink for Atmospheric Water"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","453"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","International Journal of Water Resources Development"],["dc.bibliographiccitation.lastpage","474"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Porkka, Miina"],["dc.contributor.author","Kummu, Matti"],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Flörke, Martina"],["dc.date.accessioned","2021-06-30T12:49:56Z"],["dc.date.available","2021-06-30T12:49:56Z"],["dc.date.issued","2012"],["dc.description.abstract","Water scarcity in Central Asia was analyzed by using two water scarcity indices at the scale of sub-basin areas (SBAs): water stress index (consumption-to-availability ratio) and water shortage index (water availability per capita). These indices were calculated for a baseline scenario that included virtual water flows, and again for a scenario where international trade was eliminated, thus assessing the role of virtual water flows in water scarcity. Over 80% of the study area population suffers from water stress and approximately 50% from water shortage as well. Removing virtual water flows considerably decreased water scarcity for approximately half the population. Reducing the exports of water-intensive products could thus be an option, along with other more traditional measures, for alleviating water scarcity in Central Asia."],["dc.identifier.doi","10.1080/07900627.2012.684310"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87429"],["dc.language.iso","en"],["dc.relation.issn","0790-0627"],["dc.relation.issn","1360-0648"],["dc.title","The Role of Virtual Water Flows in Physical Water Scarcity: The Case of Central Asia"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1863"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Hydrology and Earth System Sciences"],["dc.bibliographiccitation.lastpage","1880"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Siebert, Stefan"],["dc.contributor.author","Burke, J."],["dc.contributor.author","Faures, J. M."],["dc.contributor.author","Frenken, K."],["dc.contributor.author","Hoogeveen, J."],["dc.contributor.author","Döll, P."],["dc.contributor.author","Portmann, F. T."],["dc.date.accessioned","2021-06-30T13:03:48Z"],["dc.date.available","2021-06-30T13:03:48Z"],["dc.date.issued","2010"],["dc.description.abstract","Irrigation is the most important water use sector accounting for about 70% of the global freshwater withdrawals and 90% of consumptive water uses. While the extent of irrigation and related water uses are reported in statistical databases or estimated by model simulations, information on the source of irrigation water is scarce and very scattered. Here we present a new global inventory on the extent of areas irrigated with groundwater, surface water or non-conventional sources, and we determine the related consumptive water uses. The inventory provides data for 15 038 national and sub-national administrative units. Irrigated area was provided by census-based statistics from international and national organizations. A global model was then applied to simulate consumptive water uses for irrigation by water source. Globally, area equipped for irrigation is currently about 301 million ha of which 38% are equipped for irrigation with groundwater. Total consumptive groundwater use for irrigation is estimated as 545 km3 yr−1, or 43% of the total consumptive irrigation water use of 1277 km3 yr−1. The countries with the largest extent of areas equipped for irrigation with groundwater, in absolute terms, are India (39 million ha), China (19 million ha) and the USA (17 million ha). Groundwater use in irrigation is increasing both in absolute terms and in percentage of total irrigation, leading in places to concentrations of users exploiting groundwater storage at rates above groundwater recharge. Despite the uncertainties associated with statistical data available to track patterns and growth of groundwater use for irrigation, the inventory presented here is a major step towards a more informed assessment of agricultural water use and its consequences for the global water cycle."],["dc.identifier.doi","10.5194/hess-14-1863-2010"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87434"],["dc.language.iso","en"],["dc.relation.issn","1607-7938"],["dc.title","Groundwater use for irrigation – a global inventory"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","3550"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Water Resources Research"],["dc.bibliographiccitation.lastpage","3556"],["dc.bibliographiccitation.volume","53"],["dc.contributor.author","Scanlon, Bridget R."],["dc.contributor.author","Ruddell, Ben L."],["dc.contributor.author","Reed, Patrick M."],["dc.contributor.author","Hook, Ruth I."],["dc.contributor.author","Zheng, Chunmiao"],["dc.contributor.author","Tidwell, Vince C."],["dc.contributor.author","Siebert, Stefan"],["dc.date.accessioned","2021-06-14T19:18:34Z"],["dc.date.available","2021-06-14T19:18:34Z"],["dc.date.issued","2017"],["dc.description.abstract","Emerging interdisciplinary science efforts are providing new understanding of the interdependence of food, energy, and water (FEW) systems. These science advances, in turn, provide critical information for coordinated management to improve the affordability, reliability, and environmental sustainability of FEW systems. Here we describe the current state of the FEW nexus and approaches to managing resource conflicts through reducing demand and increasing supplies, storage, and transport. Despite significant advances within the past decade, there are still many challenges for the scientific community. Key challenges are the need for interdisciplinary science related to the FEW nexus; ground-based monitoring and modeling at local-to-regional scales; incorporating human and institutional behavior in models; partnerships among universities, industry, and government to develop policy relevant data; and systems modeling to evaluate trade-offs associated with FEW decisions."],["dc.identifier.doi","10.1002/2017WR020889"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87207"],["dc.language.iso","en"],["dc.relation.issn","0043-1397"],["dc.title","The food-energy-water nexus: Transforming science for society"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","317"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Hydrological Sciences Journal"],["dc.bibliographiccitation.lastpage","337"],["dc.bibliographiccitation.volume","48"],["dc.contributor.author","Alcamo, Joseph"],["dc.contributor.author","Döll, Petra"],["dc.contributor.author","Henrichs, Thomas"],["dc.contributor.author","Kaspar, Frank"],["dc.contributor.author","Lehner, Bernhard"],["dc.contributor.author","Rösch, Thomas"],["dc.contributor.author","Siebert, Stefan"],["dc.date.accessioned","2021-06-30T13:25:58Z"],["dc.date.available","2021-06-30T13:25:58Z"],["dc.date.issued","2003"],["dc.description.abstract","Growing interest in global environmental issues has led to the need for global and regional assessment of water resources. A global water assessment model called “WaterGAP 2” is described, which consists of two main components'a Global Water Use model and a Global Hydrology model. These components are used to compute water use and availability on the river basin level. The Global Water Use model consists of (a) domestic and industry sectors which take into account the effect of structural and technological changes on water use, and (b) an agriculture sector which accounts especially for the effect of climate on irrigation water requirements. The Global Hydrology model calculates surface runoff and groundwater recharge based on the computation of daily water balances of the soil and canopy. A water balance is also performed for surface waters, and river flow is routed via a global flow routing scheme. The Global Hydrology model provides a testable method for taking into account the effects of climate and land cover on runoff. The components of the model have been calibrated and tested against data on water use and runoff from river basins throughout the world. Although its performance can and needs to be improved, the WaterGAP 2 model already provides a consistent method to fill in many of the existing gaps in water resources data in many parts of the world. It also provides a coherent approach for generating scenarios of changes in water resources. Hence, it is especially useful as a tool for globally comparing the water situation in river basins."],["dc.identifier.doi","10.1623/hysj.48.3.317.45290"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87443"],["dc.language.iso","en"],["dc.relation.issn","0262-6667"],["dc.relation.issn","2150-3435"],["dc.title","Development and testing of the WaterGAP 2 global model of water use and availability"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]