2017
DOI: 10.5194/essd-9-905-2017
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CHASE-PL Climate Projection dataset over Poland – bias adjustment of EURO-CORDEX simulations

Abstract: Abstract. The CHASE-PL (Climate change impact assessment for selected sectors in Poland) Climate Projections -Gridded Daily Precipitation and Temperature dataset 5 km (CPLCP-GDPT5) consists of projected daily minimum and maximum air temperatures and precipitation totals of nine EURO-CORDEX regional climate model outputs bias corrected and downscaled to a 5 km × 5 km grid. Simulations of one historical period and two future horizons (2021-2050 and 2071-2100) assuming two representative concentration pathways (… Show more

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Cited by 50 publications
(31 citation statements)
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“…Climate change effect simulations originated from the CHASE-PL Climate Projections-Gridded Daily Precipitation and Temperature 5 km data set (CPLCP-GDPT5), i.e. projections from an ensemble of nine EURO-CORDEX regional climate models for three time horizons (1971-2000, 2021-2050, 2071-2100) and two RCPs (4.5 and 8.5) (Mezghani et al 2017). A short summary of climate projections is provided in Appendix A (Tables 2 and 3).…”
Section: Modelling Data and Workflowmentioning
confidence: 99%
“…Climate change effect simulations originated from the CHASE-PL Climate Projections-Gridded Daily Precipitation and Temperature 5 km data set (CPLCP-GDPT5), i.e. projections from an ensemble of nine EURO-CORDEX regional climate models for three time horizons (1971-2000, 2021-2050, 2071-2100) and two RCPs (4.5 and 8.5) (Mezghani et al 2017). A short summary of climate projections is provided in Appendix A (Tables 2 and 3).…”
Section: Modelling Data and Workflowmentioning
confidence: 99%
“…A quantile mapping method, developed by the Norwegian Meteorological Institute, was applied as a bias correction procedure of climate forcing (temperature and precipitation) for both historical and scenario runs (cf. Mezghani et al, 2016). Three variables (daily values of precipitation, as well as minimum and maximum temperature) from nine general circulation models (GCM)-run-regional climate models (RCM) combinations were available (Table 1).…”
Section: Low and High Flow Projections: Scope And Methodsmentioning
confidence: 99%
“…Projected changes in sowing and harvest dates are particularly important in planning agricultural management and adaptation strategies [51]. In addition, Eitzinger et al [7] pointed out that farmers have already implemented adaptation measures, such as altered production techniques and the timing of management practices, in Poland [52,53]. Nevertheless, it has to be taken into consideration that the applied model does not consider biotic stresses (pests and diseases), which can affect the yield and growth of crops [8].…”
Section: Changes In Spring Barley Yield Due To Irrigation In the Futumentioning
confidence: 99%