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            24   "doi": "10.16904/envidat.201", 24   "doi": "10.16904/envidat.201",
            25   "funding": "[{\"grant_number\": \"5.0003.PJ/Q102-0785\",  25   "funding": "[{\"grant_number\": \"5.0003.PJ/Q102-0785\", 
            26 \"institution\": \"Swiss Federal Office for the Environment\",  26 \"institution\": \"Swiss Federal Office for the Environment\", 
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            33   "license_title": "Other (Specified in the description)", 33   "license_title": "Other (Specified in the description)",
            34   "maintainer": "{\"affiliation\": \"CRYOS, EPFL\", \"email\":  34   "maintainer": "{\"affiliation\": \"CRYOS, EPFL\", \"email\": 
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            38   "metadata_created": "2021-01-21T10:14:21.255508", 38   "metadata_created": "2021-01-21T10:14:21.255508",
            n 39   "metadata_modified": "2021-01-21T10:43:57.508930", n 39   "metadata_modified": "2021-02-06T20:33:48.394479",
            40   "name": "climate-change-scenarios-at-hourly-resolution", 40   "name": "climate-change-scenarios-at-hourly-resolution",
            41   "notes": "In fall 2019, a new set of climate change scenarios has  41   "notes": "In fall 2019, a new set of climate change scenarios has 
            42 been released for \r\nSwitzerland, the CH2018 dataset  42 been released for \r\nSwitzerland, the CH2018 dataset 
            43 (www.climate-scenarios.ch). The data are\r\nprovided at daily  43 (www.climate-scenarios.ch). The data are\r\nprovided at daily 
            44 resolution. We produced from the CH2018 dataset a new \r\nset of  44 resolution. We produced from the CH2018 dataset a new \r\nset of 
            45 climate change scenarios temporally downscaled at hourly resolution.  45 climate change scenarios temporally downscaled at hourly resolution. 
            46 \r\nIn addition, we extended this dataset integrating the  46 \r\nIn addition, we extended this dataset integrating the 
            47 meteorological stations \r\nfrom the Inter-Cantonal Measurement and  47 meteorological stations \r\nfrom the Inter-Cantonal Measurement and 
            48 Information System (IMIS) network, \r\nan alpine network of automatic  48 Information System (IMIS) network, \r\nan alpine network of automatic 
            49 meteorological stations operated by the WSL \r\nInstitute for Snow and  49 meteorological stations operated by the WSL \r\nInstitute for Snow and 
            50 Avalanche Research SLF.\r\n\r\nThe extension to the IMIS network is  50 Avalanche Research SLF.\r\n\r\nThe extension to the IMIS network is 
            51 obtained using a Quantile Mapping approach \r\nin order to perform a  51 obtained using a Quantile Mapping approach \r\nin order to perform a 
            52 spatial transfer of the CH2018 scenarios from the location \r\nof the   52 spatial transfer of the CH2018 scenarios from the location \r\nof the  
            53 MeteoSwiss stations to the location of the IMIS stations. The temporal  53 MeteoSwiss stations to the location of the IMIS stations. The temporal 
            54 \r\ndownscaling is performed using an enhanced Delta-Change approach.  54 \r\ndownscaling is performed using an enhanced Delta-Change approach. 
            55 This approach \r\nis based on objective criteria for assessing the  55 This approach \r\nis based on objective criteria for assessing the 
            56 quality of the determined delta \r\nand downscaled time series. In  56 quality of the determined delta \r\nand downscaled time series. In 
            57 addition, this method also fixes a flaw of common \r\nquantile mapping  57 addition, this method also fixes a flaw of common \r\nquantile mapping 
            58 methods (such as used in the CH2018 dataset for spatial downscaling)  58 methods (such as used in the CH2018 dataset for spatial downscaling) 
            59 \r\nrelated to the decrease of correlation between different  59 \r\nrelated to the decrease of correlation between different 
            60 variables. The idea behind \r\nthe delta change approach is to take  60 variables. The idea behind \r\nthe delta change approach is to take 
            61 the main seasonal signal (and mean) from \r\nclimate change scenarios  61 the main seasonal signal (and mean) from \r\nclimate change scenarios 
            62 at daily resolution and to map it to a historical time series \r\nat  62 at daily resolution and to map it to a historical time series \r\nat 
            63 hourly resolution in order to modify the historical time series. The  63 hourly resolution in order to modify the historical time series. The 
            64 obtained time \r\nseries exhibit the same seasonal signal as the  64 obtained time \r\nseries exhibit the same seasonal signal as the 
            65 original climate change time series, \r\nwhile it keeps the sub-daily  65 original climate change time series, \r\nwhile it keeps the sub-daily 
            66 cycle from the historical time series.\r\n\r\nThe applied methods  66 cycle from the historical time series.\r\n\r\nThe applied methods 
            67 (Quantile Mapping and Delta-Change) have limitations in \r\ncorrectly  67 (Quantile Mapping and Delta-Change) have limitations in \r\ncorrectly 
            68 representing statistically extreme events and changes in the frequency  68 representing statistically extreme events and changes in the frequency 
            69 \r\nof discontinuous events such as precipitation. In addition, the  69 \r\nof discontinuous events such as precipitation. In addition, the 
            70 sub-daily cycle in \r\nthe data is inherited from the historical time  70 sub-daily cycle in \r\nthe data is inherited from the historical time 
            71 series, so there is no information \r\nof the climate change signal in  71 series, so there is no information \r\nof the climate change signal in 
            72 this sub-daily cycle. A careful reading of the paper \r\naccompanying  72 this sub-daily cycle. A careful reading of the paper \r\naccompanying 
            73 the dataset is necessary to understand the limitations and scope of  73 the dataset is necessary to understand the limitations and scope of 
            74 \r\napplication of this new dataset.\r\n\r\nThis material is  74 \r\napplication of this new dataset.\r\n\r\nThis material is 
            75 distributed under CC BY 4.0 license  75 distributed under CC BY 4.0 license 
            76 (https://creativecommons.org/licenses/by/4.0/legalcode).", 76 (https://creativecommons.org/licenses/by/4.0/legalcode).",
            n 77   "num_resources": 14, n 77   "num_resources": 1,
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            97 ch/dataset/source-code-climate-change-scenarios-at-hourly-resolution",
            97   "related_publications": "*Climate change scenarios at hourly  98   "related_publications": "* Climate change scenarios at hourly 
            98 time-step over Switzerland from an enhanced temporal downscaling  99 time-step over Switzerland from an enhanced temporal downscaling 
            99 approach, Adrien Michel, Varun Sharma, Michael Lehning, and Hendrik  100 approach, Adrien Michel, Varun Sharma, Michael Lehning, and Hendrik 
            n 100 Huwald, International Journal of Climatology, 2021", n 101 Huwald, International Journal of Climatology, 2021, 
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