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Smoron, S. |
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Title |
The risk of surface waters eutrophication in loessial uplands of Malopolska |
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Report |
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2012 |
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Woda Srodowisko Obszary Wiejskie |
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121 |
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167-179 |
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CropM |
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ITP Falenty |
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MA @ admin @ |
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2069 |
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Author |
Kowalczyk, A.; Twardy, S. |
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Title |
Comparison of the water erosion magnitude estimated by the modified USLE methods |
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Report |
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2012 |
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Woda Srodowisko Obszary Wiejskie |
Abbreviated Journal |
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121 |
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83-92 |
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CropM |
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ITP Falenty |
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MA @ admin @ |
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2068 |
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Author |
Bojar, W.; Knopik, L.; Zarski, J. |
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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) |
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Report |
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2013 |
Publication |
Studies & Proceedings of Polish Association for Knowledge Management |
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64 |
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31-44 |
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MA @ admin @ |
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2070 |
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Virkajärvi, P.; Jing, Q.; Bélanger, G.; Baron, V.; Bonesmo, H.; Young, D. |
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Title |
Modeling grassland with CATIMO – focus on the second cut |
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Conference Article |
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2013 |
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9(1) |
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9-13 |
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MA @ admin @ |
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2881 |
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Author |
Semenov, M.A.; Stratonovitch, P. |
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Title |
Local-scale CMIP5-based climate scenarios for MACSUR2 |
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Report |
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2016 |
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FACCE MACSUR Reports |
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8 |
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C2.2-D |
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CropM |
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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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MA @ admin @ |
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2270 |
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