Records |
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Houska, T.; Kraft, P.; Liebermann, R.; Klatt, S.; Kraus, D.; Haas, E.; Santabarbara, I.; Kiese, R.; Butterbach-Bahl, K.; Müller, C.; Breuer, L. |
Title |
Rejecting hydro-biogeochemical model structures by multi-criteria evaluation |
Type |
Journal Article |
Year |
2017 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
Volume |
93 |
Issue |
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Pages |
1-12 |
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Abstract |
Highlights • New method to investigate biogeochemical model structure performance. • Process based hydrological modelling can improve biogeochemical model predictions. • Modelling efficiency dramatically drops with multiple objectives. Abstract This work presents a novel way for assessing and comparing different hydro-biogeochemical model structures and their performances. We used the LandscapeDNDC modelling framework to set up four models of different complexity, considering two soil-biogeochemical and two hydrological modules. The performance of each model combination was assessed using long-term (8 years) data and applying different thresholds, considering multiple criteria and objective functions. Our results show that each model combination had its strength for particular criteria. However, only 0.01% of all model runs passed the complete rejectionist framework. In contrast, our comparatively applied assessments of single thresholds, as frequently used in other studies, lead to a much higher acceptance rate of 40–70%. Therefore, our study indicates that models can be right for the wrong reasons, i.e., matching GHG emissions while at the same time failing to simulate other criteria such as soil moisture or plant biomass dynamics. |
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1364-8152 |
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CropM, ft_macsur |
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no |
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MA @ admin @ |
Serial |
4983 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Horváth, F.; Ittzés, P.; Ittzés, D.; Barcza, Z.; Dobor, L.; Hidy, D.; Marosi, A.; Hardisty, A. |
Title |
Supporting environmental modelling with Taverna workflows, web services and desktop grid technology. In iEMSs 2014 proceedings edited by DP Ames, NWT Quinn and AE Rizzoli (in press) |
Type |
Conference Article |
Year |
2014 |
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LiveM |
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7th International Congress on Environmental Modelling and Software, San Diego, California, USA, 2014-06-15 to 2014-06-19 |
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no |
Call Number |
MA @ admin @ |
Serial |
2491 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Holman, I.P.; Brown, C.; Carter, T.R.; Harrison, P.A.; Rounsevell, M. |
Title |
Improving the representation of adaptation in climate change impact models |
Type |
Journal Article |
Year |
2019 |
Publication |
Regional Environmental Change |
Abbreviated Journal |
Reg. Environ. Change |
Volume |
19 |
Issue |
3 |
Pages |
711-721 |
Keywords |
Adaptive capacity; Limits; Water; Land; Decision making; Integrated assessment; Land-Cover Change; Global Change; River-Basin; Integrated Assessment; Adaptive Capacity; Vulnerability; Variability; Precautionary; Agriculture; Management |
Abstract |
Climate change adaptation is a complex human process, framed by uncertainties and constraints, which is difficult to capture in existing assessment models. Attempts to improve model representations are hampered by a shortage of systematic descriptions of adaptation processes and their relevance to models. This paper reviews the scientific literature to investigate conceptualisations and models of climate change adaptation, and the ways in which representation of adaptation in models can be improved. The review shows that real-world adaptive responses can be differentiated along a number of dimensions including intent or purpose, timescale, spatial scale, beneficiaries and providers, type of action, and sector. However, models of climate change consequences for land use and water management currently provide poor coverage of these dimensions, instead modelling adaptation in an artificial and subjective manner. While different modelling approaches do capture distinct aspects of the adaptive process, they have done so in relative isolation, without producing improved unified representations. Furthermore, adaptation is often assumed to be objective, effective and consistent through time, with only a minority of models taking account of the human decisions underpinning the choice of adaptation measures (14%), the triggers that motivate actions (38%) or the time-lags and constraints that may limit their uptake and effectiveness (14%). No models included adaptation to take advantage of beneficial opportunities of climate change. Based on these insights, transferable recommendations are made on directions for future model development that may enhance realism within models, while also advancing our understanding of the processes and effectiveness of adaptation to a changing climate. |
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2019-04-27 |
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English |
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1436-3798 |
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TradeM, ft_macsur |
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no |
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MA @ admin @ |
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5220 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Höhn, J.; Rötter, R.P. |
Title |
Impact of global warming on European cereal production |
Type |
Journal Article |
Year |
2014 |
Publication |
CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources |
Abbreviated Journal |
CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources |
Volume |
9 |
Issue |
022 |
Pages |
1-15 |
Keywords |
Climate change; Food security; Uncertainty; Wheat; Maize; Barley |
Abstract |
This review examines relevant impact assessments identified by a literature search from 1991to date. A bibliographic search was applied to the CAB Abstracts database with a given searchstring. Resultant papers were checked for relevance, based on expert judgment. This yielded 91 papers, which were subjected to further analysis. Firstly, publication intensity over time and distribution by geographic location and cereal crop were examined. Next, for a given crop, the assessments and their outcomes were grouped by type and number of the change variables considered – that is, effects of climate change only, elevated CO 2 and technological progress(improved breeds, management). Finally, separately for individual countries/subregions and Europe as a whole, we examined whether and to what extent study results have changed over time, for example become more positive/negative. Based on our sample, we found that publication intensity increased exponentially during thelast 4 years, the majority of studies are Europe-wide, but some concentrated on a few countries(Italy, Spain and UK), whereby studies on wheat are clearly most popular. Taking the factor of technological progress into account has an overruling influence on results. Finally, over time, projected yield impacts have become more negative. This is in line with finding from global analyses, as reflected by the most recent comparison of agricultural impact chapters, of the 4thand 5th Assessment Reports of Intergovernmental Panel on Climate Change, Working Group II.In the future, there is particular need to consider impacts under various incremental and transformational adaptation measures in more depth (e.g. their interconnections across scales)and with more breadth (e.g. anticipated new breeds). Follow-up reviews should also examine how projected impacts are changing with the new climate scenario data sets (CMIP5) and with improved impact models and assessment approaches. |
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1749-8848 |
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CropM, ft_macsur |
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no |
Call Number |
MA @ admin @ |
Serial |
4524 |
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Author ![sorted by Author field, descending order (down)](img/sort_desc.gif) |
Högner, K. |
Title |
Improving the methodology for global agricultural water availability and identifying hot spots for potential dam sites in East-Africa |
Type |
Book Whole |
Year |
2013 |
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Thesis |
Master's thesis |
Publisher |
Potsdam Institute for Climate Impact Research |
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M.Sc. |
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M.Sc. |
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TradeM |
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no |
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MA @ admin @ |
Serial |
5148 |
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