{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T23:30:27Z","timestamp":1776468627620,"version":"3.51.2"},"reference-count":81,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Environmental Modelling &amp; Software"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1016\/j.envsoft.2021.104999","type":"journal-article","created":{"date-parts":[[2021,2,21]],"date-time":"2021-02-21T08:26:00Z","timestamp":1613895960000},"page":"104999","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":16,"special_numbering":"C","title":["A modelling framework and R-package for evaluating system performance under hydroclimate variability and change"],"prefix":"10.1016","volume":"139","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2131-088X","authenticated-orcid":false,"given":"Bree","family":"Bennett","sequence":"first","affiliation":[]},{"given":"Anjana","family":"Devanand","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4798-8522","authenticated-orcid":false,"given":"Sam","family":"Culley","sequence":"additional","affiliation":[]},{"given":"Seth","family":"Westra","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1083-1214","authenticated-orcid":false,"given":"Danlu","family":"Guo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-6887","authenticated-orcid":false,"given":"Holger R.","family":"Maier","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.envsoft.2021.104999_bib1","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1007\/s11269-015-1171-z","article-title":"Effect of hedging-integrated rule curves on the performance of the Pong reservoir (India) during scenario-neutral climate change perturbations","volume":"30","author":"Adeloye","year":"2016","journal-title":"Water Resour. Manag."},{"key":"10.1016\/j.envsoft.2021.104999_bib2","series-title":"Understanding and Predicting Household Water Use for Adelaide","author":"Arbon","year":"2014"},{"key":"10.1016\/j.envsoft.2021.104999_bib3","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.envsoft.2017.03.013","article-title":"Robust optimization of water infrastructure planning under deep uncertainty using metamodels","volume":"93","author":"Beh","year":"2017","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib4","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.jhydrol.2012.04.001","article-title":"How might climate change affect river flows across the Thames Basin? An area-wide analysis using the Ukcp09 Regional Climate Model ensemble","volume":"442","author":"Bell","year":"2012","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib5","first-page":"3","article-title":"clim. pact: climate analysis and empirical\u2013statistical downscaling (Esd) package for monthly and daily set","volume":"2","author":"Benestad","year":"2009","journal-title":"R package version"},{"key":"10.1016\/j.envsoft.2021.104999_bib6","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1016\/j.jhydrol.2016.12.043","article-title":"A comprehensive and systematic evaluation framework for a parsimonious daily rainfall field model","volume":"556","author":"Bennett","year":"2018","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib7","doi-asserted-by":"crossref","first-page":"4783","DOI":"10.5194\/hess-23-4783-2019","article-title":"A virtual hydrological framework for evaluation of stochastic rainfall models","volume":"23","author":"Bennett","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"10.1016\/j.envsoft.2021.104999_bib8","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.crm.2018.11.002","article-title":"Simple scaling of climate inputs allows robust extrapolation of modelled wheat yield risk at a continental scale","volume":"23","author":"Bracho-Mujica","year":"2019","journal-title":"Climate Risk Management"},{"key":"10.1016\/j.envsoft.2021.104999_bib9","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1029\/2018WR023623","article-title":"Using a scenario\u2010neutral framework to avoid potential maladaptation to future flood risk","volume":"55","author":"Broderick","year":"2019","journal-title":"Water Resour. Res."},{"issue":"9","key":"10.1016\/j.envsoft.2021.104999_bib10","doi-asserted-by":"crossref","DOI":"10.1029\/2011WR011212","article-title":"Decision scaling: linking bottom-up vulnerability analysis with climate projections in the water sector","volume":"48","author":"Brown","year":"2012","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib11","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1111\/j.1752-1688.2011.00552.x","article-title":"A decision-analytic approach to managing climate risks: application to the upper great Lakes1","volume":"47","author":"Brown","year":"2011","journal-title":"Jawra Journal of the American Water Resources Association"},{"key":"10.1016\/j.envsoft.2021.104999_bib12","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1029\/2012EO410001","article-title":"An alternate approach to assessing climate risks","volume":"93","author":"Brown","year":"2012","journal-title":"Eos, Transactions American Geophysical Union"},{"key":"10.1016\/j.envsoft.2021.104999_bib13","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.jhydrol.2016.09.010","article-title":"Modelling the future impacts of climate and land-use change on suspended sediment transport in the River Thames (UK)","volume":"542","author":"Bussi","year":"2016","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib14","series-title":"Statistically Downscaled Projections for South Australia","author":"Charles","year":"2015"},{"issue":"10","key":"10.1016\/j.envsoft.2021.104999_bib15","doi-asserted-by":"crossref","DOI":"10.1029\/2008WR007338","article-title":"Estimating climate change impact on runoff across southeast Australia: method, results, and implications of the modeling method","volume":"45","author":"Chiew","year":"2009","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib16","series-title":"Rsqm: Statistical Downscaling Toolkit for Climate Change Scenario Using Non Parametric Quantile Mapping","author":"Cho","year":"2018"},{"key":"10.1016\/j.envsoft.2021.104999_bib17","doi-asserted-by":"crossref","DOI":"10.1029\/2011WR011721","article-title":"Crash testing hydrological models in contrasted climate conditions: an experiment on 216 Australian catchments","volume":"48","author":"Coron","year":"2012","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib18","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.jhydrol.2019.06.005","article-title":"Generating realistic perturbed hydrometeorological time series to inform scenario-neutral climate impact assessments","volume":"576","author":"Culley","year":"2019","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2020.104948","article-title":"Identifying critical climate conditions for use in scenario-neutral climate impact assessments","volume":"136","author":"Culley","year":"2021","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib20","doi-asserted-by":"crossref","first-page":"6751","DOI":"10.1002\/2015WR018253","article-title":"A bottom-up approach to identifying the maximum operational adaptive capacity of water resource systems to a changing climate","volume":"52","author":"Culley","year":"2016","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib21","doi-asserted-by":"crossref","first-page":"1820","DOI":"10.1002\/2015WR018068","article-title":"Simulating runoff under changing climatic conditions: revisiting an apparent deficiency of conceptual rainfall-runoff models","volume":"52","author":"Fowler","year":"2016","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib22","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.envsoft.2014.08.015","article-title":"An evaluation framework for input variable selection algorithms for environmental data-driven models","volume":"62","author":"Galelli","year":"2014","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib23","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s10584-013-1008-9","article-title":"Bottom-up climate risk assessment of infrastructure investment in the Niger River Basin","volume":"122","author":"Ghile","year":"2014","journal-title":"Climatic Change"},{"key":"10.1016\/j.envsoft.2021.104999_bib24","doi-asserted-by":"crossref","first-page":"871","DOI":"10.5194\/hess-22-871-2018","article-title":"State updating and calibration period selection to improve dynamic monthly streamflow forecasts for an environmental flow management application","volume":"22","author":"Gibbs","year":"2018","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"10.1016\/j.envsoft.2021.104999_bib25","series-title":"Sa Climate Ready","author":"Goyder Institute For Water Research","year":"2015"},{"key":"10.1016\/j.envsoft.2021.104999_bib26","series-title":"Sa Climate Ready Data for South Australia - A User Guide","author":"Goyder Institute For Water Research","year":"2015"},{"key":"10.1016\/j.envsoft.2021.104999_bib27","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.envsoft.2016.04.005","article-title":"Robust discrimination between uncertain management alternatives by iterative reflection on crossover point scenarios: principles, design and implementations","volume":"83","author":"Guillaume","year":"2016","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib28","doi-asserted-by":"crossref","first-page":"5030","DOI":"10.1029\/2018WR022636","article-title":"Assessing the potentialrobustness of conceptual rainfall-runoffmodels under a changing climate","volume":"54","author":"Guo","year":"2018","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib29","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.envsoft.2015.12.019","article-title":"An R package for modelling actual, potential and reference evapotranspiration","volume":"78","author":"Guo","year":"2016","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib30","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.jhydrol.2017.09.021","article-title":"Use of a scenario-neutral approach to identify the key hydro-meteorological attributes that impact runoff from a natural catchment","volume":"554","author":"Guo","year":"2017","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib31","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1016\/j.jhydrol.2016.03.025","article-title":"An inverse approach to perturb historical rainfall data for scenario-neutral climate impact studies","volume":"556","author":"Guo","year":"2018","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib32","doi-asserted-by":"crossref","DOI":"10.1029\/2019WR026752","article-title":"On the robustness of conceptual rainfall\u2010runoff models to calibration and evaluation data set splits selection: a large sample investigation","volume":"56","author":"Guo","year":"2020","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib33","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.gloenvcha.2012.12.006","article-title":"Dynamic adaptive policy pathways: a method for crafting robust decisions for a deeply uncertain world","volume":"23","author":"Haasnoot","year":"2013","journal-title":"Global Environ. Change"},{"key":"10.1016\/j.envsoft.2021.104999_bib34","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.envsoft.2017.03.036","article-title":"An R package for assessment of statistical downscaling methods for hydrological climate change impact studies","volume":"95","author":"Hanel","year":"2017","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib35","doi-asserted-by":"crossref","first-page":"360","DOI":"10.21105\/joss.00360","article-title":"Climdown: climate downscaling in R","volume":"3","author":"Hiebert","year":"2018","journal-title":"The Journal of Open Source Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib36","first-page":"124","article-title":"Finding sustainable water futures in data-sparse regions under climate change: Insights from the Turkwel River basin, Kenya","volume":"19","author":"Hirpa","year":"2018","journal-title":"J. Hydrol.: Reg. Stud."},{"key":"10.1016\/j.envsoft.2021.104999_bib37","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.envsoft.2017.01.023","article-title":"Improved validation framework and R-package for artificial neural network models","volume":"92","author":"Humphrey","year":"2017","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib81","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.envsoft.2018.09.009","article-title":"The R-based climate4R open framework for reproducible climate data access and post-processing","volume":"111","author":"Iturbide","year":"2019","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib38","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1002\/joc.2288","article-title":"Transient changes in flood frequency and timing in Britain under potential projections of climate change","volume":"32","author":"Kay","year":"2012","journal-title":"Int. J. Climatol."},{"key":"10.1016\/j.envsoft.2021.104999_bib80","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.envsoft.2018.01.019","article-title":"A python framework for multi-agent simulation of networked resource systems","volume":"103","author":"Knox","year":"2018","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib39","doi-asserted-by":"crossref","DOI":"10.1029\/2007WR006110","article-title":"A space-time Neyman-Scott rainfall model with defined storm extent","volume":"44","author":"Leonard","year":"2008","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib40","first-page":"113","article-title":"A compound event framework for understanding extreme impacts","volume":"5","author":"Leonard","year":"2014","journal-title":"Wiley Interdisciplinary Reviews: Climate Change"},{"key":"10.1016\/j.envsoft.2021.104999_bib41","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.proenv.2010.09.010","article-title":"Climate change, climate variability and transportation","volume":"1","author":"Love","year":"2010","journal-title":"Procedia Environmental Sciences"},{"key":"10.1016\/j.envsoft.2021.104999_bib43","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1002\/2017EF000649","article-title":"Robustness metrics: how are they calculated, when should they be used and why do they give different results?","volume":"6","author":"McPhail","year":"2018","journal-title":"Earth\u2019s Future"},{"key":"10.1016\/j.envsoft.2021.104999_bib42","doi-asserted-by":"crossref","DOI":"10.1029\/2019WR026515","article-title":"Impact of scenario selection on robustness","volume":"56","author":"McPhail","year":"2020","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib44","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.envsoft.2018.02.010","article-title":"A software toolkit for correcting systematic biases in climate model simulations","volume":"104","author":"Mehrotra","year":"2018","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib45","doi-asserted-by":"crossref","DOI":"10.1002\/2014EO320007","article-title":"Assessing the vulnerability of water supply to changing streamflow conditions","volume":"95","author":"Nazemi","year":"2014","journal-title":"Eos, Transactions American Geophysical Union"},{"key":"10.1016\/j.envsoft.2021.104999_bib46","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/0022-1694(94)90263-1","article-title":"The sensitivity of hydrological models to spatial rainfall patterns: an evaluation using observed data","volume":"159","author":"Obled","year":"1994","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib47","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S1161-0301(02)00004-7","article-title":"Consequences of climate change for European agricultural productivity, land use and policy","volume":"16","author":"Olesen","year":"2002","journal-title":"Eur. J. Agron."},{"key":"10.1016\/j.envsoft.2021.104999_bib48","series-title":"Dsclim: A Software Package to Downscale Climate Scenarios at Regional Scale Using a Weather-Typing Based Statistical Methodology","author":"Pag\u00e9","year":"2009"},{"key":"10.1016\/j.envsoft.2021.104999_bib49","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.envsoft.2014.06.018","article-title":"Integrated framework for assessing urban water supply security of systems with non-traditional sources under climate change","volume":"60","author":"Paton","year":"2014","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib50","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1007\/s11027-010-9269-3","article-title":"Climate change and mining in Canada","volume":"16","author":"Pearce","year":"2011","journal-title":"Mitig. Adapt. Strategies Glob. Change"},{"key":"10.1016\/j.envsoft.2021.104999_bib51","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/nature09364","article-title":"The impacts of climate change on water resources and agriculture in China","volume":"467","author":"Piao","year":"2010","journal-title":"Nature"},{"key":"10.1016\/j.envsoft.2021.104999_bib52","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/nclimate2765","article-title":"Sustainable water management under future uncertainty with eco-engineering decision scaling","volume":"6","author":"Poff","year":"2015","journal-title":"Nat. Clim. Change"},{"key":"10.1016\/j.envsoft.2021.104999_bib53","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1175\/JHM-D-10-05002.1","article-title":"Projected changes to streamflow characteristics over Western Canada as simulated by the Canadian rcm","volume":"12","author":"Poitras","year":"2011","journal-title":"J. Hydrometeorol."},{"key":"10.1016\/j.envsoft.2021.104999_bib54","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1007\/s10584-013-0748-x","article-title":"Climate change and river flooding: part 1 classifying the sensitivity of British catchments","volume":"119","author":"Prudhomme","year":"2013","journal-title":"Climatic Change"},{"key":"10.1016\/j.envsoft.2021.104999_bib55","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.jhydrol.2010.06.043","article-title":"Scenario-neutral approach to climate change impact studies: application to flood risk","volume":"390","author":"Prudhomme","year":"2010","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib56","doi-asserted-by":"crossref","first-page":"1845","DOI":"10.1002\/wrcr.20164","article-title":"Multisite precipitation generation using a latent autoregressive model","volume":"49","author":"Rasmussen","year":"2013","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib57","series-title":"Confronting Climate Uncertainty in Water Resources Planning and Project Design: the Decision Tree Framework","author":"Ray","year":"2015"},{"key":"10.1016\/j.envsoft.2021.104999_bib58","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1029\/WR017i001p00182","article-title":"Stochastic simulation of daily precipitation, temperature, and solar radiation","volume":"17","author":"Richardson","year":"1981","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib59","series-title":"Wgen: A Model for Generating Daily Weather Variables","author":"Richardson","year":"1984"},{"key":"10.1016\/j.envsoft.2021.104999_bib60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.energy.2011.11.056","article-title":"Energy sector vulnerability to climate change: a review","volume":"38","author":"Schaeffer","year":"2012","journal-title":"Energy"},{"key":"10.1016\/j.envsoft.2021.104999_bib61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v053.i04","article-title":"Ga: a package for genetic algorithms in R","volume":"53","author":"Scrucca","year":"2013","journal-title":"J. Stat. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib62","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jhydrol.2007.09.040","article-title":"The significance of spatial rainfall representation for flood runoff estimation: a numerical evaluation based on the Lee catchment, UK","volume":"347","author":"Segond","year":"2007","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib63","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.jhydrol.2009.09.050","article-title":"Comparison of three downscaling methods in simulating the impact of climate change on the hydrology of Mediterranean basins","volume":"383","author":"Segui","year":"2010","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib64","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1002\/(SICI)1099-1085(19971015)11:12<1649::AID-HYP495>3.0.CO;2-1","article-title":"Effect of spatial and temporal variability in rainfall and watershed characteristics on stream flow hydrograph","volume":"11","author":"Singh","year":"1997","journal-title":"Hydrol. Process."},{"key":"10.1016\/j.envsoft.2021.104999_bib65","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.jhydrol.2004.03.039","article-title":"Runoff response to spatial variability in precipitation: an analysis of observed data","volume":"298","author":"Smith","year":"2004","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2021.104999_bib66","doi-asserted-by":"crossref","first-page":"7205","DOI":"10.1002\/wrcr.20528","article-title":"A semiparametric multivariate, multisite weather generator with low-frequency variability for use in climate risk assessments","volume":"49","author":"Steinschneider","year":"2013","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib67","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.envsoft.2014.11.004","article-title":"A computational software tool for the minimization of costs and greenhouse gas emissions associated with water distribution systems","volume":"69","author":"Stokes","year":"2015","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib68","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1016\/j.scitotenv.2018.02.250","article-title":"Combined top-down and bottom-up climate change impact assessment for the hydrological system in the Vu Gia- Thu Bon River Basin","volume":"630","author":"Tra","year":"2018","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.envsoft.2021.104999_bib69","doi-asserted-by":"crossref","first-page":"3553","DOI":"10.1002\/2013WR015156","article-title":"Linking climate projections to performance: a yield-based decision scaling assessment of a large urban water resources system","volume":"50","author":"Turner","year":"2014","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib70","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1146\/annurev-environ-020411-130608","article-title":"Climate change and food systems","volume":"37","author":"Vermeulen","year":"2012","journal-title":"Annu. Rev. Environ. Resour."},{"key":"10.1016\/j.envsoft.2021.104999_bib71","series-title":"Evaluation of Multiple Stochastic Rainfall Generators in Diverse Climatic Regions","author":"Vu","year":"2017"},{"key":"10.1016\/j.envsoft.2021.104999_bib72","doi-asserted-by":"crossref","first-page":"5090","DOI":"10.1002\/2013WR014719","article-title":"A strategy for diagnosing and interpreting hydrological model nonstationarity","volume":"50","author":"Westra","year":"2014","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib73","series-title":"ggplot2: Elegant Graphics for Data Analysis","author":"Wickham","year":"2009"},{"key":"10.1016\/j.envsoft.2021.104999_bib74","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/S1364-8152(01)00060-3","article-title":"Sdsm\u2014a decision support tool for the assessment of regional climate change impacts","volume":"17","author":"Wilby","year":"2002","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2021.104999_bib79","doi-asserted-by":"crossref","first-page":"251","DOI":"10.3354\/cr01254","article-title":"The Statistical DownScaling Model - Decision Centric (SDSM-DC): conceptual basis and applications","volume":"61","author":"Wilby","year":"2014","journal-title":"Clim. Res."},{"key":"10.1016\/j.envsoft.2021.104999_bib75","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1002\/wea.543","article-title":"Robust adaptation to climate change","volume":"65","author":"Wilby","year":"2010","journal-title":"Weather"},{"key":"10.1016\/j.envsoft.2021.104999_bib76","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1177\/030913339902300302","article-title":"The weather generation game: a review of stochastic weather models","volume":"23","author":"Wilks","year":"1999","journal-title":"Prog. Phys. Geogr.: Earth Environ."},{"key":"10.1016\/j.envsoft.2021.104999_bib77","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1038\/s43017-020-0060-z","article-title":"A typology of compound weather and climate events","volume":"1","author":"Zscheischler","year":"2020","journal-title":"Nature Reviews Earth & Environment"},{"key":"10.1016\/j.envsoft.2021.104999_bib78","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1038\/s41558-018-0156-3","article-title":"Future climate risk from compound events","volume":"8","author":"Zscheischler","year":"2018","journal-title":"Nat. Clim. Change"}],"container-title":["Environmental Modelling &amp; Software"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815221000426?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815221000426?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T23:03:37Z","timestamp":1761260617000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1364815221000426"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":81,"alternative-id":["S1364815221000426"],"URL":"https:\/\/doi.org\/10.1016\/j.envsoft.2021.104999","relation":{},"ISSN":["1364-8152"],"issn-type":[{"value":"1364-8152","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A modelling framework and R-package for evaluating system performance under hydroclimate variability and change","name":"articletitle","label":"Article Title"},{"value":"Environmental Modelling & Software","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.envsoft.2021.104999","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104999"}}