40 citations as recorded by crossref.

1. Modelling climate impact on floods with ensemble climate projections H. Cloke et al. 10.1002/qj.1998
2. CC-PESTO: a novel GIS-based method for assessing the vulnerability of karst groundwater resources to the effects of climate change Z. Stevanović et al. 10.1007/s10040-020-02251-6
3. Climate change in MATOPIBA region of Brazil: a study on climate extremes in agriculture L. de Oliveira Aparecido et al. 10.1007/s00704-023-04509-x
4. Using impact response surfaces to analyse the likelihood of impacts on crop yield under probabilistic climate change N. Pirttioja et al. 10.1016/j.agrformet.2018.10.006
5. Projections of climate change impacts on crop production: A global and a Nordic perspective R. Rötter et al. 10.1080/09064702.2013.793735
6. Model skill measures in probabilistic regional climate projections for Ireland A. Foley et al. 10.3354/cr01140
7. Highest drought sensitivity and lowest resistance to growth suppression are found in the range core of the treeFagus sylvaticaL. not the equatorial range edge L. Cavin & A. Jump 10.1111/gcb.13366
8. Using response surfaces to estimate impacts of climate change on flood peaks: assessment of uncertainty A. Kay et al. 10.1002/hyp.10000
9. Quantifying future climate change M. Collins et al. 10.1038/nclimate1414
10. Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology A. Karmalkar et al. 10.1007/s00382-019-04617-3
11. Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment M. Ruiz-Ramos et al. 10.1016/j.agsy.2017.01.009
12. Uncertainty assessments and hydrological implications of climate change in two adjacent agricultural catchments of a rapidly urbanizing watershed S. Oni et al. 10.1016/j.scitotenv.2013.12.032
13. Introducing Quantile Mapping to a Regression Model Using a Multi-Model Ensemble to Improve Probabilistic Projections of Monthly Precipitation N. Ishizaki et al. 10.20965/jdr.2018.p0873
14. Uncertainty in simulating wheat yields under climate change S. Asseng et al. 10.1038/nclimate1916
15. Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations A. Rodríguez et al. 10.1016/j.agrformet.2018.09.018
16. Prediction of the Variability of Changes in the Intensity and Frequency of Climate Change Reinforced Multi-Day Extreme Precipitation in the North-Central Vietnam Using General Circulation Models and Generalized Extreme Value Distribution Method P. Giang 10.3389/feart.2020.601666
17. Probabilistic projections of climatological forest fire danger in Finland H. Mäkelä et al. 10.3354/cr01223
18. Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters N. Harvey et al. 10.5194/nhess-18-41-2018
19. Probabilistic projections of transient climate change G. Harris et al. 10.1007/s00382-012-1647-y
20. Long‐term trends of hail‐related weather types in an ensemble of regional climate models using a Bayesian approach M. Kapsch et al. 10.1029/2011JD017185
21. Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces N. Pirttioja et al. 10.3354/cr01322
22. Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments I. Iocola et al. 10.1016/j.eja.2017.07.011
23. A Combined Stochastic–Analytical Method for the Assessment of Climate Change Impact on Spring Discharge A. Kovács & Z. Stevanović 10.3390/w15040629
24. Impact of climate change on economic components of Mediterranean olive orchards J. Cabezas et al. 10.1016/j.agwat.2021.106760
25. The ability of crop models to predict soil organic carbon changes in a maize cropping system under contrasting fertilization and residues management: Evidence from a long-term experiment A. Pulina et al. 10.4081/ija.2022.2179
26. Managing resilience of forage crops to climate change through response diversity H. Mäkinen et al. 10.1016/j.fcr.2015.07.006
27. Assessing cover crop management under actual and climate change conditions M. Alonso-Ayuso et al. 10.1016/j.scitotenv.2017.10.095
28. A method to encapsulate model structural uncertainty in ensemble projections of future climate: EPIC v1.0 J. Lewis et al. 10.5194/gmd-10-4563-2017
29. Characterising vulnerability of the elderly to climate change in the Nordic region T. Carter et al. 10.1007/s10113-014-0688-7
30. High-resolution boreal winter precipitation projections over tropical America from CMIP5 models R. Palomino-Lemus et al. 10.1007/s00382-017-3982-5
31. Alley Cropping Mitigates the Impacts of Climate Change on a Wheat Crop in a Mediterranean Environment: A Biophysical Model-Based Assessment F. Reyes et al. 10.3390/agriculture11040356
32. Regional probabilistic climate projection for Japan with a regression model using multi-model ensemble experiments N. N. Ishizaki et al. 10.3178/hrl.11.44
33. Determining sectoral and regional sensitivity to climate and socio-economic change in Europe using impact response surfaces S. Fronzek et al. 10.1007/s10113-018-1421-8
34. Assessing the impacts of climate change on river flows in England using the UKCP09 climate change projections M. Charlton & N. Arnell 10.1016/j.jhydrol.2014.09.008
35. Pattern scaling: Its strengths and limitations, and an update on the latest model simulations C. Tebaldi & J. Arblaster 10.1007/s10584-013-1032-9
36. Sensitivity of barley varieties to weather in Finland K. HAKALA et al. 10.1017/S0021859611000694
37. A Scaling Approach to Probabilistic Assessment of Regional Climate Change K. Frieler et al. 10.1175/JCLI-D-11-00199.1
38. Optimizing the Malting Conditions of Landrace Six-Row Arupo S Barley Adapted to Grow in Tropical Nigeria R. Agu et al. 10.1094/ASBCJ-2016-3476-01
39. Lessons from climate modeling on the design and use of ensembles for crop modeling D. Wallach et al. 10.1007/s10584-016-1803-1
40. Representing two centuries of past and future climate for assessing risks to biodiversity in Europe S. Fronzek et al. 10.1111/j.1466-8238.2011.00695.x