Nitra LL - Dataset on TAPs, climate change and land use scenarios results
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Details of simulations: Each simulation considers an increase/decrease in land cover (AGR = agriculture or NAT = natural), as HYPE works with areas and only uses four classes. The change is reciprocal, meaning that if the area of AGR increases by 15%, the area of NAT decreases by 15%.IDs:3972: Prievidza4407: Nedozery3639: Chalmova3198: Nitrianska Streda In the Excel file:The discharge values:3198-DJF corresponds to the Seasonal Discharge (Winter: December-January-February) for the subbasin 3198 (N. Streda) in m3/s3198-MAM corresponds to the Seasonal Discharge (Spring: March-April-May)3198-JJA corresponds to the discharge for Summer3198-SON is for Autumn 3198-Annual corresponds to the mean annual discharge for the subbasin 3198All the values are for the last 10 years (2014-2023)Values for CC scenarios are for the period (2041-2050)- Mid century The CC scenarios:No Changes: using historical data (from E-OBS database)Extremely dry: miroc-miroc5_clmcom-clm-cclm4-8-17 /scenario: rcp85Extremely wet: cnrm-cerfacs-cm5_knmi-racmo22e /scenario: rcp85 Trend (average): mohc-hadgem2-es_smhi-rca4 / scenario: rcp26
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Metrics Over Time
Publication Details
Subfield
Ecology, Evolution, Behavior and Systematics
Field
Agricultural and Biological Sciences
Domain
Life Sciences
Confidence Score
27%
Source
Scholar Data Model