Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- f1ac2b32-7dde-4164-8659-136d47b3787b description "Member nr. 18 and the last member of the NorESM2-MM spin up prepared for CMIP6, LINK: http://doi.org/10.22033/ESGF/CMIP6.8221. The simulation covers the years 1051 - 1199. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: LINK: http://noresmhub.github.io/noresm-exp/noresm2_mm_spin/noresm2_mm_spin18.html" assertion.
- b7ef649c-f1c8-4c06-97e2-08efe396a83f description "Member nr. 18 and the last member of the NorESM2-MM spin up prepared for CMIP6, <a href="http://doi.org/10.22033/ESGF/CMIP6.8221" class="linkified" target="_blank">LINK</a>. The simulation covers the years 1051 - 1199. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: <a href="http://noresmhub.github.io/noresm-exp/noresm2_mm_spin/noresm2_mm_spin18.html" class="linkified" target="_blank">LINK</a>" assertion.
- af0ee27e-8353-45ec-be14-283d66411ff6 description "Member nr. 1 of the NorESM2-LM spin up prepared for CMIP6 LINK: http://doi.org/10.22033/ESGF/CMIP6.8217. The simulation covers the years 0001 - 0135. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: LINK: http://noresmhub.github.io/noresm-exp/noresm2_lm_spin/noresm2_lm_spin1.html" assertion.
- 1a1d7815-f357-4650-91e7-73d50c71abff description "Member nr. 1 of the NorESM2-LM spin up prepared for CMIP6 <a href="http://doi.org/10.22033/ESGF/CMIP6.8217" class="linkified" target="_blank">LINK</a>. The simulation covers the years 0001 - 0135. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: <a href="http://noresmhub.github.io/noresm-exp/noresm2_lm_spin/noresm2_lm_spin1.html" class="linkified" target="_blank">LINK</a>" assertion.
- fe333524-c929-423f-8eaf-db17c88fee38 description "Member nr. 4 of the NorESM2-MM spin up prepared for CMIP6, LINK: http://doi.org/10.22033/ESGF/CMIP6.8221. The simulation covers the years 0241-0270. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: https://noreshttps://www.met.no/mhub.github.io/noresm-exp/noresm2_mm_spin/noresm2_mm_spin4.html" assertion.
- e64c3d6e-9c2d-483d-8436-397647f2773f description "Member nr. 4 of the NorESM2-MM spin up prepared for CMIP6, <a href="http://doi.org/10.22033/ESGF/CMIP6.8221" class="linkified" target="_blank">LINK</a>. The simulation covers the years 0241-0270. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: https://noreshttps://www.met.no/mhub.github.io/noresm-exp/noresm2_mm_spin/noresm2_mm_spin4.html" assertion.
- bc28a028-29b6-4396-83cb-7a6430b89905 description "Member nr. 17 of the NorESM2-MM spin up prepared for CMIP6, LINK: http://doi.org/10.22033/ESGF/CMIP6.8221. The simulation covers the years 0851 - 1050. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: LINK: http://noresmhub.github.io/noresm-exp/noresm2_mm_spin/noresm2_mm_spin17.html" assertion.
- a8d6622d-ab04-4cf9-91a7-29a569760bbe description "Member nr. 17 of the NorESM2-MM spin up prepared for CMIP6, <a href="http://doi.org/10.22033/ESGF/CMIP6.8221" class="linkified" target="_blank">LINK</a>. The simulation covers the years 0851 - 1050. A description is given in Seland et al. 2020 and figures of time series of key variables included in the Supplementary information of Seland et al. 2020. In addition, a detailed description of the simulation can be found here: <a href="http://noresmhub.github.io/noresm-exp/noresm2_mm_spin/noresm2_mm_spin17.html" class="linkified" target="_blank">LINK</a>" assertion.
- da1fefc0-a31e-4b4c-a554-cfa480c4ce01 description "Molecular dynamics (MD) simulation files, figures, manuscript for the publication; All files for MD simulations can be found here: 2014_Schillinger_etal_BBA/Data" assertion.
- 3397c1dd-82e3-40d6-bd2a-499a0f71a2a2 description "Molecular dynamics (MD) simulation files, figures, manuscript for the publication; All files for MD simulations can be found here: 2014_Schillinger_etal_BBA/Data" assertion.
- c819d03b-e52f-4fa6-8f8b-262c62e51a32 description "data files of the molecular dynamics (MD) simulations for the publication" assertion.
- abeb5db5-7994-458c-8851-7bd92fe90902 description "data files of the molecular dynamics (MD) simulations for the publication" assertion.
- 89d0ea2a-6718-4e62-8642-bdcbb8c33896 description "Molecular Dynamics (MD) simulation files for the publication" assertion.
- dbd8d17b-7221-4288-87f2-01b82ca8bcff description "Molecular Dynamics (MD) simulation files for the publication" assertion.
- 6b1e8ad1-c474-45af-9de3-a6743613567a description "Data of the RCP8.5 simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- eb706dd7-827f-4e6e-94a2-8e03d7b870b7 description "Data of the RCP8.5 simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- b46db71d-de5c-4843-ad31-b272c89151af description "Data of the Stratospheric Aerosol Injection (SAI) simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 6a2ac606-569c-4ef0-95de-56c6e99ff2e3 description "Data of the Stratospheric Aerosol Injection (SAI) simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 182f15bb-0a1d-40ef-80c6-9c55c165ba92 description "Data of the RCP4.5 simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 18740bb5-a573-44ab-a4a7-f8276cdbae10 description "Data of the RCP4.5 simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 4c319c7d-4761-4304-9150-bbcb80d08a8b description "Data of the Marine Sky Brightening (MSB) simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 9b80e20e-e42e-4d3d-988c-ab34f965fc08 description "Data of the Marine Sky Brightening (MSB) simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- b547b995-e91d-4a79-9f53-111e43136b56 description "Data of the Cirrus Cloud Thinning (CCT) simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 6067c07c-e2f9-42ab-90e2-4b0759c1d3f3 description "Data of the Cirrus Cloud Thinning (CCT) simulation with full atm, lnd and cpl outputs from the FTI solar geoengineering project. The coupler history data was used to force the CLM5-crop simulation used in Fan et al. 2021. All history variables from atm, lnd and cpl are included in their raw format." assertion.
- 489c9359-2c33-4600-9cbd-00cd31d662cf description "Simulation of NorESM1-ME: historical, spin-up, and future scenario runs" assertion.
- 19f6d6f1-6bc3-46c5-b6d9-c219ea6e08a7 description "Simulation of NorESM1-ME: historical, spin-up, and future scenario runs" assertion.
- fa7ac5c7-1614-496b-a701-ca3bd104ba7f description "Blocking detected as masks form the daily 500-hPa geopotential (Scherrer et al. 2006). Anticyclones detected as masks from the daily 500-hPa geopotential (Wernli and Schwierz 2006). Rossby wave breaking (anticyclonic (_A) and cyclonic (_C) distinction) as grid points belonging to a wave breaking (Rivière 2009, Michel and Rivière 2011) detected from daily 250-hPa absolute vorticity. Blocking and RWB are detected for both the Present and +2C (Plus20-Future) experiments. Anticyclones are detected only for the Present (All-Hist) experiment. Data is available for the 5 HAPPI models: CAM4-2degree, CanAM4, ECHAM6.3-LR, MIROC5, and NorESM1-Happi." assertion.
- e0ec2a6b-3dd4-4206-adba-af1dbf340e05 description "Blocking detected as masks form the daily 500-hPa geopotential (Scherrer et al. 2006). Anticyclones detected as masks from the daily 500-hPa geopotential (Wernli and Schwierz 2006). Rossby wave breaking (anticyclonic (_A) and cyclonic (_C) distinction) as grid points belonging to a wave breaking (Rivière 2009, Michel and Rivière 2011) detected from daily 250-hPa absolute vorticity. Blocking and RWB are detected for both the Present and +2C (Plus20-Future) experiments. Anticyclones are detected only for the Present (All-Hist) experiment. Data is available for the 5 HAPPI models: CAM4-2degree, CanAM4, ECHAM6.3-LR, MIROC5, and NorESM1-Happi." assertion.
- 8c5d4e1e-23d9-44e7-8925-a0ce2504e6e5 description "Files are seperated based on MD simulations and continuum electrostatics calculations. All the input/analysis files are present in corresponding directories/sub-directories. If you have trouble navigating, please send email to LINK: mailto:reza.611@gmail.com. ### Some raw trajectories are not removed as I have to repeatedly use them for others. # For the simulations and/or calculations please go to the "simulations_analyses/" directory, which is divided into two groups: "MD_simulations/" and "continuum_electrostatics/". All the subfolder has long names to distinguish the content of the folder (i.e. pi_plc_dmpg_100_1st_run/). All the necessary scripts are also present in the scr directory or other subdirectories. If you have trouble finding any file, please send email to LINK: mailto:reza.611@gmail.com. # For the manuscript files, please go to the "Manuscript_files_figures_raw_data/" directory. If you unzip the "Files_for_archive_Orinoco_BPJ_2016" folder and enter, you will get all the plots and raw data in the "Redo_data_and_plots_23_04_2015". This should be the final version. If you want to track the source of the raw data, please go to the "simulations_analyses/" directory. The folders for figures are named according to the content of the figure rather than Figure_1/Figure_2, as they change their places often in a manuscript. This was for my easiness of keeping track. As for the manuscript files, the first version is in the "BtPIPLC_for_BPJ". The "BPJ_reply_for_appeal" directory should have all the later submission files. Please do not hesitate to send an email in case of any questions. If you see any error please do let me know." assertion.
- 83cbb938-cae9-48fa-800b-f23cef96e34c description "Files are seperated based on MD simulations and continuum electrostatics calculations. All the input/analysis files are present in corresponding directories/sub-directories. If you have trouble navigating, please send email to <a href="mailto:reza.611@gmail.com" class="linkified" target="_blank">LINK</a>. ### Some raw trajectories are not removed as I have to repeatedly use them for others. # For the simulations and/or calculations please go to the "simulations_analyses/" directory, which is divided into two groups: "MD_simulations/" and "continuum_electrostatics/". All the subfolder has long names to distinguish the content of the folder (i.e. pi_plc_dmpg_100_1st_run/). All the necessary scripts are also present in the scr directory or other subdirectories. If you have trouble finding any file, please send email to <a href="mailto:reza.611@gmail.com" class="linkified" target="_blank">LINK</a>. # For the manuscript files, please go to the "Manuscript_files_figures_raw_data/" directory. If you unzip the "Files_for_archive_Orinoco_BPJ_2016" folder and enter, you will get all the plots and raw data in the "Redo_data_and_plots_23_04_2015". This should be the final version. If you want to track the source of the raw data, please go to the "simulations_analyses/" directory. The folders for figures are named according to the content of the figure rather than Figure_1/Figure_2, as they change their places often in a manuscript. This was for my easiness of keeping track. As for the manuscript files, the first version is in the "BtPIPLC_for_BPJ". The "BPJ_reply_for_appeal" directory should have all the later submission files. Please do not hesitate to send an email in case of any questions. If you see any error please do let me know." assertion.
- cbf260d2-49b9-4af6-9eac-d40c8f1e791a description "MD simulation data for the publication" assertion.
- 1d219c05-f9f5-4df6-aff0-dda5ab76c5b6 description "MD simulation data for the publication" assertion.
- 41044807-92ed-49c9-8752-ef97f2ada594 description "This data set contains model output of idealized, 400 years long, simulations conducted with the Norwegian Earth System Model NorESM2-LM. NorESM2 is described in Seland et al. (2020) and Tjiputra et al. (2020). It comprises 10 different simulations, 7 of which have 3 ensemble members, and a control run. 4 of the simulations follow the ZECMIP protocol (Jones et al. 2019), i.e., there are CO2 emissions following a bell-shaped emission curve in the first 100 years and zero emissions thereafter (we have simulated 300 years of zero emissions). The total carbon emissions in these simulations are 1500, 1750, 2000, and 2500 Pg C, and we refer to these simulations as "esm-bell-xxxxPgC" or shorter "Bxxxx", where xxxx is the amount of carbon emissions. The B1500 simulation serves as a reference simulation reaching approximately 1.7 degrees in the long term. From the B1750 to B2500 simulations we have branched off 6 simulations with negative emissions to simulate "overshoots" of different length and duration. We apply negative emission of 250, 500, and 1000 Pg cumulative carbon removal over a time span of 100 years. At the end of the negative emission phases all simulations have experienced the same amount of cumulative carbon emissions as the reference simulation (1500 Pg C). To simulate overshoots of different duration, we vary the branch point in time such that there are either 0 or 100 years of zero emissions before CDR is applied. The overshoot simulations are referred to as, for example, "esm-brch-bell-1750PgC-000y-cdr0250PgC" for the overshoot that is branched from the esm-bell-1750PgC simulation 0 years after positive emissions cease with a total of 250 Pg C CDR applied. All simulations are CO2-emission driven, and CO2 is the only variation in forcing that is applied. Land use and non-CO2 forcings are kept constant at pre-industrial levels. The raw model output has been processed with the "Climate Model Output Rewriter" (it has been "cmorized") and is compliant with CMIP6 model output and metadata requirements. The simulations and model output are described in more detail in the enclosed file README-NorESM2_Idealized_overshoots_technical_description_NIRD.pdf" assertion.
- 6da76a71-25d5-4766-9898-d102ca966935 description "This data set contains model output of idealized, 400 years long, simulations conducted with the Norwegian Earth System Model NorESM2-LM. NorESM2 is described in Seland et al. (2020) and Tjiputra et al. (2020). It comprises 10 different simulations, 7 of which have 3 ensemble members, and a control run. 4 of the simulations follow the ZECMIP protocol (Jones et al. 2019), i.e., there are CO2 emissions following a bell-shaped emission curve in the first 100 years and zero emissions thereafter (we have simulated 300 years of zero emissions). The total carbon emissions in these simulations are 1500, 1750, 2000, and 2500 Pg C, and we refer to these simulations as "esm-bell-xxxxPgC" or shorter "Bxxxx", where xxxx is the amount of carbon emissions. The B1500 simulation serves as a reference simulation reaching approximately 1.7 degrees in the long term. From the B1750 to B2500 simulations we have branched off 6 simulations with negative emissions to simulate "overshoots" of different length and duration. We apply negative emission of 250, 500, and 1000 Pg cumulative carbon removal over a time span of 100 years. At the end of the negative emission phases all simulations have experienced the same amount of cumulative carbon emissions as the reference simulation (1500 Pg C). To simulate overshoots of different duration, we vary the branch point in time such that there are either 0 or 100 years of zero emissions before CDR is applied. The overshoot simulations are referred to as, for example, "esm-brch-bell-1750PgC-000y-cdr0250PgC" for the overshoot that is branched from the esm-bell-1750PgC simulation 0 years after positive emissions cease with a total of 250 Pg C CDR applied. All simulations are CO2-emission driven, and CO2 is the only variation in forcing that is applied. Land use and non-CO2 forcings are kept constant at pre-industrial levels. The raw model output has been processed with the "Climate Model Output Rewriter" (it has been "cmorized") and is compliant with CMIP6 model output and metadata requirements. The simulations and model output are described in more detail in the enclosed file README-NorESM2_Idealized_overshoots_technical_description_NIRD.pdf" assertion.
- 5797c75a-4435-4f68-aacc-e344bfea245d description "molecular dynamics (MD) simulation data for the publication" assertion.
- 806df2cf-589e-4751-b8b2-793228ec6cdb description "molecular dynamics (MD) simulation data for the publication" assertion.
- d33a1b84-90ea-4cea-9028-48a1d31c9b58 description "A set of idealised simulations with the Polar WRF model, representing cold-air outbreaks with varying model resolution, ice distribution in the marginal ice zone, sea-ice edge and wind speed. The data set contains both all input data for WRF and the preprocessor, as well as the postprocessed WRF output on which the published results are based." assertion.
- f103d902-db95-46e0-9fa7-2d1ff38b2c29 description "A set of idealised simulations with the Polar WRF model, representing cold-air outbreaks with varying model resolution, ice distribution in the marginal ice zone, sea-ice edge and wind speed. The data set contains both all input data for WRF and the preprocessor, as well as the postprocessed WRF output on which the published results are based." assertion.
- 31be4b50-8107-409b-9e76-5c3835106a3b description "This data set contains a set of shapefiles outlining the subsurface geology of NW Europe for structures and strata of Late-Carboniferous to Permian age. Shapefiles can be loaded in different types of Geographic Information systems and other geological and geographical tools. The projection of the data is UTM31." assertion.
- 92d4eb73-1221-4558-aaf9-bbfc5f5b6a31 description "This data set contains a set of shapefiles outlining the subsurface geology of NW Europe for structures and strata of Late-Carboniferous to Permian age. Shapefiles can be loaded in different types of Geographic Information systems and other geological and geographical tools. The projection of the data is UTM31." assertion.
- be04f63a-b689-441c-92ee-c7ab40db14e8 description "Irradiance datasets collected from spectrometers on board a UAS flying from Summit, Greenland Aug 5 and 6, 2010." assertion.
- c0404d05-21f3-4968-900e-c27227ad03be description "Irradiance datasets collected from spectrometers on board a UAS flying from Summit, Greenland Aug 5 and 6, 2010." assertion.
- e174b28b-d416-4e4c-97ac-e772fabb6060 description "WIFAR/UNDER-ICE acoustic recording from an integrated ice station in the Fram Strait marginal ice zone in 2012." assertion.
- 25c1a33a-8185-4ce4-b901-769eea7d1185 description "WIFAR/UNDER-ICE acoustic recording from an integrated ice station in the Fram Strait marginal ice zone in 2012." assertion.
- 26fbf4cd-cf72-434e-bed0-7dd96ff3eb7a description "This dataset contains data prsented in the paper doi:10.1038/nature11649. To use the dataset you should follow the guidelines in the README contained within the dataset." assertion.
- 68a63856-c7b6-4d47-97fc-2967078460c5 description "This dataset contains data prsented in the paper doi:10.1038/nature11649. To use the dataset you should follow the guidelines in the README contained within the dataset." assertion.
- a3143c1f-4930-48b3-a137-ed4262bd36b3 description "This dataset is published in "Dyanmic vulnerability revealed in the collapse of an Arctic tidewater glacier", Scientific Reports [in press]. The data package contains: - Digital Elevation Models - Glacier velocity maps - Seismic detection record - Updated bed topography - Modelled basal friction and temperature" assertion.
- 04f662f4-0a02-4eb3-ae1c-d8a66d3526f9 description "This dataset is published in "Dyanmic vulnerability revealed in the collapse of an Arctic tidewater glacier", Scientific Reports [in press]. The data package contains: - Digital Elevation Models - Glacier velocity maps - Seismic detection record - Updated bed topography - Modelled basal friction and temperature" assertion.
- 7db1081d-6a02-44b2-beb7-819d17fbe3fc description "Annual maximum daily precipitation measured at meteorological stations in the Nordic-Baltic countries: Finland, Sweden, Norway, Denmark, Estonia, Latvia and Lithuania. Dataset includes latitude and longitude coordinates for all stations." assertion.
- e0211fe4-9612-4f1d-901c-e013efecf67f description "Annual maximum daily precipitation measured at meteorological stations in the Nordic-Baltic countries: Finland, Sweden, Norway, Denmark, Estonia, Latvia and Lithuania. Dataset includes latitude and longitude coordinates for all stations." assertion.
- 1a9e7175-b9e6-4a35-b98d-fff351f8a5c1 description "This data set contains the field observations for the article Zweigel et al.: Simulating snow redistribution and its effect on the ground thermal regime at a high-Arctic site on Svalbard. The doi of the data set will be contained in the publication." assertion.
- a87d35f1-2962-4f00-8125-bccb82d93bd8 description "This data set contains the field observations for the article Zweigel et al.: Simulating snow redistribution and its effect on the ground thermal regime at a high-Arctic site on Svalbard. The doi of the data set will be contained in the publication." assertion.
- 3dde8a0e-cfda-40ab-9051-18cdbec8980f description "This dataset comprises subglacial temperature observations from Svalbard. It contains subglacial air and sediment temperatures from Larsbreen in 2016 and subglacial air, ice and sediment temperatures from Tellbreen in 2019. All temperature data is given in °C." assertion.
- 7c4e2349-6709-47b3-a7a5-123d843ae70d description "This dataset comprises subglacial temperature observations from Svalbard. It contains subglacial air and sediment temperatures from Larsbreen in 2016 and subglacial air, ice and sediment temperatures from Tellbreen in 2019. All temperature data is given in °C." assertion.
- 200529d1-fe9e-4fe8-8ee8-3e6bf9db6c65 description "see word document in the archive." assertion.
- 4a7886c2-594c-43cc-8b90-e82d6af1a529 description "see word document in the archive." assertion.
- 169619f7-21d3-4991-9add-023f10c4a47e description "As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2016-2017. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided." assertion.
- b8fec407-fa59-48e8-9583-266ad0c840db description "As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2016-2017. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The observatory layout is available in the mooring diagram provided." assertion.
- 6da93796-f794-4cb5-a2f5-14ad7fbe32cb description "As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. On this mooring, settlement plates (wooden plates) to collect wood boring organisms were deployed on top and bottom SBE37. Nothing was found. The observatory layout is available in the mooring diagram provided." assertion.
- 8d487c3c-5859-4e7e-bdcc-f75efbbaa5d8 description "As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Rijpfjorden 2017-2018. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. On this mooring, settlement plates (wooden plates) to collect wood boring organisms were deployed on top and bottom SBE37. Nothing was found. The observatory layout is available in the mooring diagram provided." assertion.
- c568fad1-a501-475e-913b-f92a219e5bac description "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of a range of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors, including the camera, is mounted on a tripod under a transparent dome. This dataset contains the E(PAR) data derived from pictures taken during 2017 at hourly intervals by the all-sky-camera. The camera (Canon EOS 5D Mark III) is equipped with a fish-eye lens with a focal length set to 8 mm with aperture manually set to open (f/4) to ensure maximum sensitivity (Canon EF 8-15mm f/4L), providing a 180° image of the atmosphere (only possible with a full-size sensor). Both shutter speed (exposure time, ranging from 0.000125 to 30 seconds) and ISO (sensitivity, ranging from 100 at Midnight Sun period and up to 6400 during Polar Night) are set to auto. White balance manually set to “day light”. It is remotely controlled by a PC, pictures were stored in a cloud storage. Short gaps in the time series are due to power failures. In this dataset there are two large gaps: 2019-01-09 to 2019-03-08 and 2019-06-24 to 2019-09-25 caused by a crash of the controlling PC which was not monitored at that time. The equations for the picture-to-E(PAR) conversion can be found in: Johnsen et al 2021, An all-sky camera system providing high temporal resolution annual time-series of irradiance in the Arctic, Applied Optics. The pictures on which this dataset is based on can be found at LINK: http://dx.doi.org/10.11582/2021.00022. For re-use of the data, please refer to the dataset and the original publication." assertion.
- 0e467ef9-50e3-4535-90b7-d01315a2fc2b description "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of a range of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors, including the camera, is mounted on a tripod under a transparent dome. This dataset contains the E(PAR) data derived from pictures taken during 2017 at hourly intervals by the all-sky-camera. The camera (Canon EOS 5D Mark III) is equipped with a fish-eye lens with a focal length set to 8 mm with aperture manually set to open (f/4) to ensure maximum sensitivity (Canon EF 8-15mm f/4L), providing a 180° image of the atmosphere (only possible with a full-size sensor). Both shutter speed (exposure time, ranging from 0.000125 to 30 seconds) and ISO (sensitivity, ranging from 100 at Midnight Sun period and up to 6400 during Polar Night) are set to auto. White balance manually set to “day light”. It is remotely controlled by a PC, pictures were stored in a cloud storage. Short gaps in the time series are due to power failures. In this dataset there are two large gaps: 2019-01-09 to 2019-03-08 and 2019-06-24 to 2019-09-25 caused by a crash of the controlling PC which was not monitored at that time. The equations for the picture-to-E(PAR) conversion can be found in: Johnsen et al 2021, An all-sky camera system providing high temporal resolution annual time-series of irradiance in the Arctic, Applied Optics. The pictures on which this dataset is based on can be found at <a href="http://dx.doi.org/10.11582/2021.00022" class="linkified" target="_blank">LINK</a>. For re-use of the data, please refer to the dataset and the original publication." assertion.
- 8930e47e-bc81-4dcb-905b-f9b66df314b6 description "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of a range of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors, including the camera, is mounted on a tripod under a transparent dome. This dataset contains the E(PAR) data derived from pictures taken during 2017 at hourly intervals by the all-sky-camera. The camera (Canon EOS 5D Mark III) is equipped with a fish-eye lens with a focal length set to 8 mm with aperture manually set to open (f/4) to ensure maximum sensitivity (Canon EF 8-15mm f/4L), providing a 180° image of the atmosphere (only possible with a full-size sensor). Both shutter speed (exposure time, ranging from 0.000125 to 30 seconds) and ISO (sensitivity, ranging from 100 at Midnight Sun period and up to 6400 during Polar Night) are set to auto. White balance manually set to “day light”. It is remotely controlled by a PC, pictures were stored in a cloud storage. Short gaps in the time series are due to power failures. In this dataset there is one larger gap: 2017-01-19 to 2017-01-21 caused by a crash of the controlling PC which was not monitored at that time. The equations for the picture-to-E(PAR) conversion can be found in: Johnsen et al 2021, An all-sky camera system providing high temporal resolution annual time-series of irradiance in the Arctic, Applied Optics. The pictures on which this dataset is based on can be found at LINK: http://dx.doi.org/10.11582/2021.00028. For re-use of the data, please refer to the dataset and the original publication." assertion.
- 91cf63ed-2467-47c4-949c-6c2832b3b184 description "UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of a range of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors, including the camera, is mounted on a tripod under a transparent dome. This dataset contains the E(PAR) data derived from pictures taken during 2017 at hourly intervals by the all-sky-camera. The camera (Canon EOS 5D Mark III) is equipped with a fish-eye lens with a focal length set to 8 mm with aperture manually set to open (f/4) to ensure maximum sensitivity (Canon EF 8-15mm f/4L), providing a 180° image of the atmosphere (only possible with a full-size sensor). Both shutter speed (exposure time, ranging from 0.000125 to 30 seconds) and ISO (sensitivity, ranging from 100 at Midnight Sun period and up to 6400 during Polar Night) are set to auto. White balance manually set to “day light”. It is remotely controlled by a PC, pictures were stored in a cloud storage. Short gaps in the time series are due to power failures. In this dataset there is one larger gap: 2017-01-19 to 2017-01-21 caused by a crash of the controlling PC which was not monitored at that time. The equations for the picture-to-E(PAR) conversion can be found in: Johnsen et al 2021, An all-sky camera system providing high temporal resolution annual time-series of irradiance in the Arctic, Applied Optics. The pictures on which this dataset is based on can be found at <a href="http://dx.doi.org/10.11582/2021.00028" class="linkified" target="_blank">LINK</a>. For re-use of the data, please refer to the dataset and the original publication." assertion.
- 2f12b37b-007b-46b7-82fc-3cea52fbf93a description "raw experiment data, source code, figures, manuscript and other relevant documents for the publication" assertion.
- 416c1228-4926-4494-9e21-7c19cd5e397c description "raw experiment data, source code, figures, manuscript and other relevant documents for the publication" assertion.
- 71c1316b-3a0b-459f-bfdc-e0f60d2ae863 description "This dataset contains shapefiles with gridded extreme sub-daily rainfall data for the Nordic-Baltic region, and the average day of year when the extreme events occur. More specifically, this dataset contains shapefiles with rainfall depths corresponding to return periods 5, 10 and 20 years and for durations (i.e. accumulation periods) 1, 3, 6 and 12 hours. The unit is accumulated rainfall (mm) for the selected time window and the values have been estimated by GEV analysis of annual maxima. The day of year data ranges from 1 to 365, and is the median day of year for the annual maxima using all available data from 2000 to 2018. All shapefiles are on a 1×1 degree grid, where the grid has been created from inverse distance weighting of station data, using power 2 in the IDW formula. The shapefiles containing day of year results have files names of the form “doy_median_acc_time_Th”, where T is the accumulation time in hours. Note that since we are working with shapefiles, there are 4 files per data field (shp, shx, dbf and prj files). In the same way, the files with the return levels have form “ret_lev_lmom_R_acc_Th.prj” where R is the return period in years (5, 10 or 20), and T is once again the accumulation time in hours. The lmom in the filename stands for L-moments, which is the method that the distribution parameters were fitted with. For further information see: Olsson, J., Dyrrdal, A.V., Médus, E., Södling, J., Aniskeviča, S., Arnbjerg-Nielsen, K., Førland, E., Mačiulytė, V., Mäkelä, A., Post, P., Thorndahl, S.L. and L. Wern (2021) Sub-daily rainfall extremes in the Nordic-Baltic region, Hydrology Research, submitted." assertion.
- 601bdcc6-c2bf-450f-a240-66e833cb9e03 description "This dataset contains shapefiles with gridded extreme sub-daily rainfall data for the Nordic-Baltic region, and the average day of year when the extreme events occur. More specifically, this dataset contains shapefiles with rainfall depths corresponding to return periods 5, 10 and 20 years and for durations (i.e. accumulation periods) 1, 3, 6 and 12 hours. The unit is accumulated rainfall (mm) for the selected time window and the values have been estimated by GEV analysis of annual maxima. The day of year data ranges from 1 to 365, and is the median day of year for the annual maxima using all available data from 2000 to 2018. All shapefiles are on a 1×1 degree grid, where the grid has been created from inverse distance weighting of station data, using power 2 in the IDW formula. The shapefiles containing day of year results have files names of the form “doy_median_acc_time_Th”, where T is the accumulation time in hours. Note that since we are working with shapefiles, there are 4 files per data field (shp, shx, dbf and prj files). In the same way, the files with the return levels have form “ret_lev_lmom_R_acc_Th.prj” where R is the return period in years (5, 10 or 20), and T is once again the accumulation time in hours. The lmom in the filename stands for L-moments, which is the method that the distribution parameters were fitted with. For further information see: Olsson, J., Dyrrdal, A.V., Médus, E., Södling, J., Aniskeviča, S., Arnbjerg-Nielsen, K., Førland, E., Mačiulytė, V., Mäkelä, A., Post, P., Thorndahl, S.L. and L. Wern (2021) Sub-daily rainfall extremes in the Nordic-Baltic region, Hydrology Research, submitted." assertion.
- 1e016568-086c-4af1-90d8-13ff3006e5e0 description "GPS data of ice tracker (Oceanetic Measurements Ltd,Cannada) deployed on drifting ice on Spitsbergen Bank. Later after ice melting the tracker was floating and transmitting data." assertion.
- 7f454d0a-9d43-4fbe-b857-6cfa63d763a3 description "GPS data of ice tracker (Oceanetic Measurements Ltd,Cannada) deployed on drifting ice on Spitsbergen Bank. Later after ice melting the tracker was floating and transmitting data." assertion.
- 40161f6e-2f67-42a1-a8b3-c9cf2d17442b description "RW_ERT_*: The files contain inversion results for most profiles mentioned in paper, names follow names used in mansucript. RW _Gam_veloc*: The files contain most velocity data series used in Figure 5. RW_surface_logger: The file contains measured RW temperatures time series, used in Figure 4. RW Velocity fields.zip: The files contains the velocity fields from Figure 6, whcih are based on GB-INSAR. RW_Ground_temperature_Modelling.mat: The file contains modelled annual ground temperatures for the normal run at both sites RW_*_4PM_. The files contains results from the 4PM modelling" assertion.
- 2aca0075-690f-4b48-8513-ed34ac18bdce description "RW_ERT_*: The files contain inversion results for most profiles mentioned in paper, names follow names used in mansucript. RW _Gam_veloc*: The files contain most velocity data series used in Figure 5. RW_surface_logger: The file contains measured RW temperatures time series, used in Figure 4. RW Velocity fields.zip: The files contains the velocity fields from Figure 6, whcih are based on GB-INSAR. RW_Ground_temperature_Modelling.mat: The file contains modelled annual ground temperatures for the normal run at both sites RW_*_4PM_. The files contains results from the 4PM modelling" assertion.
- 6e47e73c-3309-4647-8a0c-a70a7464de24 description "The renowned Festningen section in the outer part of Isfjorden, western Spitsbergen, offers a c. 7 km long nearly continuous stratigraphic section of Lower Carboniferous to Cenozoic strata. Tectonic deformation associated with the Paleogene West-Spitsbergen-Fold-and-Thrust belt tilted the strata to near-vertical, allowing easy access to the section along the shoreline. The Festningen section is a regionally important stratigraphic reference profile, and thus a key locality for any geologist visiting Svalbard. The lithology variations, dinosaur footprints, as well as the many fossil groups, record more than 300 million years of continental drift, climate change, and sea level variations. As such, the Festningen section is the only protected geotope in Svalbard, covering an area of c. 17 km2. The first detailed geological cross-section of the Festningen profile was published by Hoel & Orvin (1937), while a revised open-access field guide was compiled by Mørk & Grundvåg (2020). We here provide a full digital outcrop model data set to accompany the field guide. The digital outcrop model data is documented by Senger et al., 2022; Digitizing Svalbard’s geology: the Festningen digital outcrop model." assertion.
- 9823bca5-cfb7-4da1-bfd3-51fe9a4217bb description "The renowned Festningen section in the outer part of Isfjorden, western Spitsbergen, offers a c. 7 km long nearly continuous stratigraphic section of Lower Carboniferous to Cenozoic strata. Tectonic deformation associated with the Paleogene West-Spitsbergen-Fold-and-Thrust belt tilted the strata to near-vertical, allowing easy access to the section along the shoreline. The Festningen section is a regionally important stratigraphic reference profile, and thus a key locality for any geologist visiting Svalbard. The lithology variations, dinosaur footprints, as well as the many fossil groups, record more than 300 million years of continental drift, climate change, and sea level variations. As such, the Festningen section is the only protected geotope in Svalbard, covering an area of c. 17 km2. The first detailed geological cross-section of the Festningen profile was published by Hoel & Orvin (1937), while a revised open-access field guide was compiled by Mørk & Grundvåg (2020). We here provide a full digital outcrop model data set to accompany the field guide. The digital outcrop model data is documented by Senger et al., 2022; Digitizing Svalbard’s geology: the Festningen digital outcrop model." assertion.
- eee461e5-2b9f-4881-883a-b365cd256adb description "The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 <= s <= 128, 0 <= t <= 200, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. The included document CohomA2.pdf explains the contents and usage of the dataset in detail." assertion.
- c9812ea4-45ae-42bd-850e-ee4d607cd417 description "The dataset contains a minimal resolution of the mod 2 Steenrod algebra in the range 0 <= s <= 128, 0 <= t <= 200, together with chain maps for each cocycle in that range and for the squaring operation Sq^0 in the cohomology of the Steenrod algebra. The included document CohomA2.pdf explains the contents and usage of the dataset in detail." assertion.
- 28d87565-0410-4338-b44b-affdbdf29282 description "Datasets to “Westermann, S., Østby, T., Gisnås, K., Schuler, T. V., and Etzelmüller, B.: A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data”" assertion.
- e1aea12a-6255-4409-affd-36a5ece1831d description "Datasets to “Westermann, S., Østby, T., Gisnås, K., Schuler, T. V., and Etzelmüller, B.: A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data”" assertion.
- 0e0d1f22-1bcc-494a-91fc-08a9612777fb description "The thermally driven large-scale ocean circulation is studied. We obtain a steady state ocean circulation by running the time-dependent, nonlinear model to equi- librium using restoring boundary conditions on surface temperature. This is simulated by MITgcm using a 2◦ × 2◦ spherical polar grid. We examine how this circulation relates to theories of the surface - and the abyssal circulation. These theories include the linear thermocline theory and Stommel and Arons theory. An important factor in returning the deep water to the surface, is the diapycnal mixing. Why this is important will be discussed. The reasons why and where the deep water upwells, are well debated. We find that positive vertical velocity mainly occurs at the western boundaries, where both the currents in the abyss and at the surface are strong. The simulated ocean circulation contains many of the observed currents in the world, like the Antarctic Circumpolar Current (ACC), the Kuroshio Current, the Agulhas Current and the Gulf Stream. In addition, the meridional overturning has a realistic strength." assertion.
- 79c67dd7-ef10-4959-b55a-2956f9780f7f description "The thermally driven large-scale ocean circulation is studied. We obtain a steady state ocean circulation by running the time-dependent, nonlinear model to equi- librium using restoring boundary conditions on surface temperature. This is simulated by MITgcm using a 2◦ × 2◦ spherical polar grid. We examine how this circulation relates to theories of the surface - and the abyssal circulation. These theories include the linear thermocline theory and Stommel and Arons theory. An important factor in returning the deep water to the surface, is the diapycnal mixing. Why this is important will be discussed. The reasons why and where the deep water upwells, are well debated. We find that positive vertical velocity mainly occurs at the western boundaries, where both the currents in the abyss and at the surface are strong. The simulated ocean circulation contains many of the observed currents in the world, like the Antarctic Circumpolar Current (ACC), the Kuroshio Current, the Agulhas Current and the Gulf Stream. In addition, the meridional overturning has a realistic strength." assertion.
- 0c794e71-1fd2-4282-97cd-179f144cb71d description "The thermally driven large-scale ocean circulation is studied. We obtain a steady state ocean circulation by running the time-dependent, nonlinear model to equilibrium using restoring boundary conditions on surface temperature. This is simulated by MITgcm using a 2◦ × 2◦ spherical polar grid. We examine how this circulation relates to theories of the surface - and the abyssal circulation. These theories include the linear thermocline theory and Stommel and Arons theory. An important factor in returning the deep water to the surface, is the diapycnal mixing. Why this is important will be discussed. The reasons why and where the deep water upwells, are well debated. We find that positive vertical velocity mainly occurs at the western boundaries, where both the currents in the abyss and at the surface are strong. The simulated ocean circulation contains many of the observed currents in the world, like the Antarctic Circumpolar Current (ACC), the Kuroshio Current, the Agulhas Current and the Gulf Stream. In addition, the meridional overturning has a realistic strength." assertion.
- a8e0a3c1-054e-4bd6-8c82-0b11b049f24a description "The thermally driven large-scale ocean circulation is studied. We obtain a steady state ocean circulation by running the time-dependent, nonlinear model to equilibrium using restoring boundary conditions on surface temperature. This is simulated by MITgcm using a 2◦ × 2◦ spherical polar grid. We examine how this circulation relates to theories of the surface - and the abyssal circulation. These theories include the linear thermocline theory and Stommel and Arons theory. An important factor in returning the deep water to the surface, is the diapycnal mixing. Why this is important will be discussed. The reasons why and where the deep water upwells, are well debated. We find that positive vertical velocity mainly occurs at the western boundaries, where both the currents in the abyss and at the surface are strong. The simulated ocean circulation contains many of the observed currents in the world, like the Antarctic Circumpolar Current (ACC), the Kuroshio Current, the Agulhas Current and the Gulf Stream. In addition, the meridional overturning has a realistic strength." assertion.
- 0e00a442-e695-466c-b3a7-24c9c8d55a80 description "The thermally driven large-scale ocean circulation is studied. We obtain a steady state ocean circulation by running the time-dependent, nonlinear model to equilibrium using restoring boundary conditions on surface temperature. This is simulated by MITgcm using a 2◦ × 2◦ spherical polar grid. We examine how this circulation relates to theories of the surface - and the abyssal circulation. These theories include the linear thermocline theory and Stommel and Arons theory. An important factor in returning the deep water to the surface, is the diapycnal mixing. Why this is important will be discussed. The reasons why and where the deep water upwells, are well debated. We find that positive vertical velocity mainly occurs at the western boundaries, where both the currents in the abyss and at the surface are strong. The simulated ocean circulation contains many of the observed currents in the world, like the Antarctic Circumpolar Current (ACC), the Kuroshio Current, the Agulhas Current and the Gulf Stream. In addition, the meridional overturning has a realistic strength." assertion.
- 2b2b4ab2-2222-4138-a910-67ec23911969 description "The thermally driven large-scale ocean circulation is studied. We obtain a steady state ocean circulation by running the time-dependent, nonlinear model to equilibrium using restoring boundary conditions on surface temperature. This is simulated by MITgcm using a 2◦ × 2◦ spherical polar grid. We examine how this circulation relates to theories of the surface - and the abyssal circulation. These theories include the linear thermocline theory and Stommel and Arons theory. An important factor in returning the deep water to the surface, is the diapycnal mixing. Why this is important will be discussed. The reasons why and where the deep water upwells, are well debated. We find that positive vertical velocity mainly occurs at the western boundaries, where both the currents in the abyss and at the surface are strong. The simulated ocean circulation contains many of the observed currents in the world, like the Antarctic Circumpolar Current (ACC), the Kuroshio Current, the Agulhas Current and the Gulf Stream. In addition, the meridional overturning has a realistic strength." assertion.
- bb5e0842-f9f8-42d8-9fdf-1c7b2920fe73 description "The Norwegian Climate Prediction model combines the Norwegian Earth System Model version 1 (medium resolution) with the Ensemble Kalman Filter data assimilation method. netcdf 4 format. Technical details: Production machine: Cray XE6 in Bergen (hexagon) Model source: projectEPOCASA-3: atmosphere=CAM4; ocean=MICOM; land=CLM; sea ice=CICE Horizontal resolution: atmosphere/land=1.9x2.5 degree; ocean/sea ice=~1 degree Output frequency: monthly + yearly run on 160 mpi tasks. Use : hybrid start from historical simulation 30 members (N20TREXTAERCN COMPSET) at 1950-01-15; which are initiazed from preindustrial run (N1850; starting date 1500:10:1790). Library: craype-barcelona, craype/2.2.1, cray-libsci/12.1.3, cray-mpich/6.0.2, cray-netcdf/4.3.2, cray-hdf5/1.8.13, pcp, coreutils-cnl). For the assimilation, we use the Detereministic Ensemble Kalman Filter (EnKF-MPI-TOPAZ_Yiguo_no_copy), with 30 members, localisation radius of 1 grid cell with no tapering (STEP); rfactor=2 and kfactor=2, inflation=1, MASK_LANDNEIGHBOUR=.true., aggregation method=.true. (Wang et al. 2016). The full state is updated (u,v,dp,temp,saln,uflx,vflx,outfox,vtflx,usflx,vsflx,pb,ub,vb,ubflx,vbflx,ubflxs,vbflxs,ubcors_p,vbcorhs_p,phi,sealv,ustar,buoyfl) 1 time level (e.g. temp from 1 to 53 and pb from 1 to 1). The observation error variance is inflated by a factor of 8 and gradually decreased over 5 assimilation cycles (5 months). The observations are the SST ensemble mean (10 members) from HadISST2.1.0.0, and the observation error variance is the ensemble spread. We assimilate SST monthly anomaly. The monthly climatology is calculated from the simulation with assimilation (free run) wrt to the period 1950-2009." assertion.
- 52dcade4-0edf-4635-b598-b606d39bf172 description "The Norwegian Climate Prediction model combines the Norwegian Earth System Model version 1 (medium resolution) with the Ensemble Kalman Filter data assimilation method. netcdf 4 format. Technical details: Production machine: Cray XE6 in Bergen (hexagon) Model source: projectEPOCASA-3: atmosphere=CAM4; ocean=MICOM; land=CLM; sea ice=CICE Horizontal resolution: atmosphere/land=1.9x2.5 degree; ocean/sea ice=~1 degree Output frequency: monthly + yearly run on 160 mpi tasks. Use : hybrid start from historical simulation 30 members (N20TREXTAERCN COMPSET) at 1950-01-15; which are initiazed from preindustrial run (N1850; starting date 1500:10:1790). Library: craype-barcelona, craype/2.2.1, cray-libsci/12.1.3, cray-mpich/6.0.2, cray-netcdf/4.3.2, cray-hdf5/1.8.13, pcp, coreutils-cnl). For the assimilation, we use the Detereministic Ensemble Kalman Filter (EnKF-MPI-TOPAZ_Yiguo_no_copy), with 30 members, localisation radius of 1 grid cell with no tapering (STEP); rfactor=2 and kfactor=2, inflation=1, MASK_LANDNEIGHBOUR=.true., aggregation method=.true. (Wang et al. 2016). The full state is updated (u,v,dp,temp,saln,uflx,vflx,outfox,vtflx,usflx,vsflx,pb,ub,vb,ubflx,vbflx,ubflxs,vbflxs,ubcors_p,vbcorhs_p,phi,sealv,ustar,buoyfl) 1 time level (e.g. temp from 1 to 53 and pb from 1 to 1). The observation error variance is inflated by a factor of 8 and gradually decreased over 5 assimilation cycles (5 months). The observations are the SST ensemble mean (10 members) from HadISST2.1.0.0, and the observation error variance is the ensemble spread. We assimilate SST monthly anomaly. The monthly climatology is calculated from the simulation with assimilation (free run) wrt to the period 1950-2009." assertion.
- 6deee56b-ff77-45dd-ba46-62d2160ca936 description "This dataset contains post-processed output from a study with the Norwegian Earth System Model (NorESM) that uses proxy-based stochastic volcanic forcing to assess the effects of volcanic uncertainty on probabilistic 21st century climate projections. The experiments are described in detail in Bethke, I., S. Outten , O.H. Otterå , S. Wagner, M. Sigl and P. Thorne - Potential volcanic effects on 21st century climate projections (submitted to Nature Climate Change) The ensemble output from following experiments is made available: historicalVolc: 1980-2005 simulations using historical volcanic forcing historicalNoVolc (no-Pinatubo): 1990-2004 simulations with zero volc. forcing rcp45Volc (VOLC): 2006-2099 simulations using different stochastic volc. forcings rcp45VolcConst (VOLC-CONST): 2006-2099 simulations using constant volc. forcing rcp45NoVolc (NoVOLC): 2006-2099 simulations with zero volcanic forcing Time-invariant fields: areacella, areacello, basin, deptho, orog, volcello Monthly fields: cdnc, ch4global, cldnvi, clt, co2mass, concbc, conccn, concdms, concdust, concpoa, concso2, concso4, concss, drybc, drydus, drypoa, dryso2, dryso4, dryss, ec550aer, emibc, emidms, emidust, emioa, emiso2, emiso4, emiss, evs, evspsbl, ficeberg, friver, hfds, hfls, hfss, hurs, hus, huss, n2oglobal, pr, prsn, prw, ps, psl, reffclws, reffclwtop, rlds, rldscs, rlus, rlut, rlutcs, rsds, rsdscs, rsdt, rsntds, rsus, rsuscs, rsut, rsutcs, rtmt, sconcbc, sconcdust, sconcpoa, sconcso4, sconcss, sftgif, sftlf, sftof, sic, sim, sit, snc, snd, ta, tas, tauu, tauuo, tauv, tauvo, transifs, transix, transiy, ts, ua, va, wetbc, wetdust, wetpoa, wetso2, wetso4, wetss, zg Annual fields: hfx, hfy, msftbarot, rhopoto, so, thetao, umo, vmo, vsf, sos, tos Volcanic forcing and scripts to generate the forcing are stored in a separate forcing folder. For more detailed information please contact the dataset creators." assertion.
- 63484030-c452-44da-84ed-dab4fdbfcd5b description "This dataset contains post-processed output from a study with the Norwegian Earth System Model (NorESM) that uses proxy-based stochastic volcanic forcing to assess the effects of volcanic uncertainty on probabilistic 21st century climate projections. The experiments are described in detail in Bethke, I., S. Outten , O.H. Otterå , S. Wagner, M. Sigl and P. Thorne - Potential volcanic effects on 21st century climate projections (submitted to Nature Climate Change) The ensemble output from following experiments is made available: historicalVolc: 1980-2005 simulations using historical volcanic forcing historicalNoVolc (no-Pinatubo): 1990-2004 simulations with zero volc. forcing rcp45Volc (VOLC): 2006-2099 simulations using different stochastic volc. forcings rcp45VolcConst (VOLC-CONST): 2006-2099 simulations using constant volc. forcing rcp45NoVolc (NoVOLC): 2006-2099 simulations with zero volcanic forcing Time-invariant fields: areacella, areacello, basin, deptho, orog, volcello Monthly fields: cdnc, ch4global, cldnvi, clt, co2mass, concbc, conccn, concdms, concdust, concpoa, concso2, concso4, concss, drybc, drydus, drypoa, dryso2, dryso4, dryss, ec550aer, emibc, emidms, emidust, emioa, emiso2, emiso4, emiss, evs, evspsbl, ficeberg, friver, hfds, hfls, hfss, hurs, hus, huss, n2oglobal, pr, prsn, prw, ps, psl, reffclws, reffclwtop, rlds, rldscs, rlus, rlut, rlutcs, rsds, rsdscs, rsdt, rsntds, rsus, rsuscs, rsut, rsutcs, rtmt, sconcbc, sconcdust, sconcpoa, sconcso4, sconcss, sftgif, sftlf, sftof, sic, sim, sit, snc, snd, ta, tas, tauu, tauuo, tauv, tauvo, transifs, transix, transiy, ts, ua, va, wetbc, wetdust, wetpoa, wetso2, wetso4, wetss, zg Annual fields: hfx, hfy, msftbarot, rhopoto, so, thetao, umo, vmo, vsf, sos, tos Volcanic forcing and scripts to generate the forcing are stored in a separate forcing folder. For more detailed information please contact the dataset creators." assertion.
- 4c1c7afc-a72c-4024-9bb4-15af924607df description "This dataset includes grib files from the operational model used for the simulation of large scale atmospheric flow, satellite images, LAGRANTO trajectory calculation and grib files from ERA-Interim for anomaly calculation." assertion.
- eb16cfea-ddb2-4eb2-80d4-c854a7842050 description "This dataset includes grib files from the operational model used for the simulation of large scale atmospheric flow, satellite images, LAGRANTO trajectory calculation and grib files from ERA-Interim for anomaly calculation." assertion.
- b2bd4aba-f097-4962-9b9e-74bd417ba59d description "This dataset contains results from WRF3.6.1 with and without sub-grid snow tiling, described in paper: 10.1175/JHM-D-16-0026.1. The simulations cover southern Norway with a resolution of 3 km from September 2011 to September 2012. Only surface variables are included from the full year, whereas the full atmosphere is included from spring and summer. See README file included in the dataset for more details." assertion.
- 6a7f5425-a696-4dec-b634-d7923ce70a83 description "This dataset contains results from WRF3.6.1 with and without sub-grid snow tiling, described in paper: 10.1175/JHM-D-16-0026.1. The simulations cover southern Norway with a resolution of 3 km from September 2011 to September 2012. Only surface variables are included from the full year, whereas the full atmosphere is included from spring and summer. See README file included in the dataset for more details." assertion.
- c8ee72de-9762-454d-8b90-dd7bbdccc657 description "This dataset contains result from WRF3.4.1 covering Svalbard at 9km, 3km and 1km (only Kongsfjorden) from March 2008 to March 2009. Two sensitivity simulations with improved surface hydrology for cold regions are included for the snow free months (July and August). Details can be found in published paper (DOI:10.1175/JAMC-D-14-0080.1) as well as in the README file included in the dataset." assertion.
- 0760070d-e2a8-47cf-a00d-99b8ea85f097 description "This dataset contains result from WRF3.4.1 covering Svalbard at 9km, 3km and 1km (only Kongsfjorden) from March 2008 to March 2009. Two sensitivity simulations with improved surface hydrology for cold regions are included for the snow free months (July and August). Details can be found in published paper (DOI:10.1175/JAMC-D-14-0080.1) as well as in the README file included in the dataset." assertion.
- c361996b-9975-4426-a25e-201f7fc5432a description "This dataset contains results from a high-resolution simulation with a coupled atmosphere-glacier mass balance model. The modelling system consists of the fully dynamical WRF (v.3.6.1) coupled to the Climatic Mass Balance model (CMB). Hourly output of all surface mass balance and surface energy balance fluxes, as well as a large set of other surface variables, are included at 3 km resolution, from September 2003 to November 2013. The results compare well with a large set of surface meteorological and glacier mass balance measurements (see publication for details). This dataset might serve as a high-resolution reanalysis for Svalbard, which can be used for a wide range of applications." assertion.
- 32c6f94f-f189-4c6e-8337-48143d92238d description "This dataset contains results from a high-resolution simulation with a coupled atmosphere-glacier mass balance model. The modelling system consists of the fully dynamical WRF (v.3.6.1) coupled to the Climatic Mass Balance model (CMB). Hourly output of all surface mass balance and surface energy balance fluxes, as well as a large set of other surface variables, are included at 3 km resolution, from September 2003 to November 2013. The results compare well with a large set of surface meteorological and glacier mass balance measurements (see publication for details). This dataset might serve as a high-resolution reanalysis for Svalbard, which can be used for a wide range of applications." assertion.
- 2d20bfa0-989e-4d08-b7c2-15600f21f34b description "Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass balance, seasonal snow, surface energy balance), have been downscaled from the ERA 40 and ERA interim re-analyses using methodology described in the accompanying paper. The gridded dataset has a horizontal resolution of 1 km and covers the entire Svalbard archipelago. The data have a temporal resolution of 6h and cover the entire ERA40 period (1957-2002) and the ERAinterim period (1979-2016)." assertion.
- 110342ff-31d8-4b82-a27a-e7ceb966eecb description "Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass balance, seasonal snow, surface energy balance), have been downscaled from the ERA 40 and ERA interim re-analyses using methodology described in the accompanying paper. The gridded dataset has a horizontal resolution of 1 km and covers the entire Svalbard archipelago. The data have a temporal resolution of 6h and cover the entire ERA40 period (1957-2002) and the ERAinterim period (1979-2016)." assertion.
- b1e007e9-fe64-4b79-987d-d6276a965ab5 description "This dataset contains the FLEXPART model code, input, and output used in the publication in Journal of Geophysical Research." assertion.
- 338221e3-4e13-440a-9a98-f880c3df3d7b description "This dataset contains the FLEXPART model code, input, and output used in the publication in Journal of Geophysical Research." assertion.