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Author Smoron, S.
Title The risk of surface waters eutrophication in loessial uplands of Malopolska Type Report
Year 2012 Publication Woda Srodowisko Obszary Wiejskie Abbreviated Journal
Volume (down) 121 Issue Pages 167-179
Keywords CropM
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Call Number MA @ admin @ Serial 2069
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Author Kowalczyk, A.; Twardy, S.
Title Comparison of the water erosion magnitude estimated by the modified USLE methods Type Report
Year 2012 Publication Woda Srodowisko Obszary Wiejskie Abbreviated Journal
Volume (down) 121 Issue Pages 83-92
Keywords CropM
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Notes Approved no
Call Number MA @ admin @ Serial 2068
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Author Bojar, W.; Knopik, L.; Zarski, J.
Title Analiza wplywu warunków klimatycznych na plonowanie roslin uprawnych w regionie kujawsko-pomorskim (Analysis of impact of climate conditions on yielding of crops in Kujavian & Pomeranian region) Type Report
Year 2013 Publication Studies & Proceedings of Polish Association for Knowledge Management Abbreviated Journal
Volume (down) 64 Issue Pages 31-44
Keywords CropM
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Call Number MA @ admin @ Serial 2070
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Author Virkajärvi, P.; Jing, Q.; Bélanger, G.; Baron, V.; Bonesmo, H.; Young, D.
Title Modeling grassland with CATIMO – focus on the second cut Type Conference Article
Year 2013 Publication Abbreviated Journal
Volume (down) 9(1) Issue Pages 9-13
Keywords CropM
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Call Number MA @ admin @ Serial 2881
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Author Semenov, M.A.; Stratonovitch, P.
Title Local-scale CMIP5-based climate scenarios for MACSUR2 Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume (down) 8 Issue Pages C2.2-D
Keywords CropM
Abstract Climate sensitivity of GCMs was used to select 5 GCMs from the CMIP5 ensemble for impact studies in MACSUR2. Selected GCMs for MACSUR2 are EC-EARTH (7), GFDL-CM3 (8) HadGEM2-ES (10), MIROC5 (13), and MPI-ESM-MR (15). These GCMs are evenly distributed among CMIP5 (Fig 1) and should capture, in principal, climate uncertainty of the CMIP5 ensemble. Using 5 GCMs will enable us to assess uncertainties in impacts related to uncertainty in climate projections. The selection of GCMs in MACSUR2 has a good overlap with selections of GCMs used in CORDEX and AgMIP projects.  We used the LARS-WG generator to construct local-scale CMIP5-based climate scenarios for Europe (Semenov & Stratonovitch, 2015). Fifteen sites were selected in Europe for MACSUR2. For each site and each selected GCM, 100 yrs climate daily data were generated by LARS-WG for RCP4.5 and RCP8.5 emission scenarios and for baseline and 3 future periods: near-term (2021-2040), mid-term (2041-2060) and long-term (2081-2100).
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Call Number MA @ admin @ Serial 2270
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