{"numFound":32,"page":1,"rows":20,"url":"http://data.inms.international:443/inms/documents","nextPage":"http://data.inms.international:443/inms/documents?page=2","results":[{"metadataDate":"2024-11-04T09:27:36.000+00:00","catalogue":"inms","description":"This model was designed to make large-scale representations and combines terrestrial vegetation dynamics and land-atmosphere carbon and water exchanges under climate change. It is the only DGVM that uses dynamic land use at global scale. Also simulates the production of woody and herbaceous short-rotation bioenergy plantations.","documentType":"CEH_MODEL","identifier":"bdaacc6e-762a-42bd-9f7f-7834bfd4fd6b","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/63107238-1560-401f-a9c1-dd3d73a9d2f8","https://data.inms.international/id/bdaacc6e-762a-42bd-9f7f-7834bfd4fd6b"],"resourceType":"Model","state":"published","title":"LPJmL","version":1.0,"view":["public","leav","inms-users"],"shortenedDescription":"This model was designed to make large-scale representations and combines terrestrial vegetation dynamics and land-atmosphere carbon and water exchanges under climate change. It is the only DGVM that uses dynamic land use at global scale. Also simulates the production..."},{"metadataDate":"2025-12-15T15:57:54.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"catalogue":"inms","description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model driven by Weather and Research Forecast model meteorology (WRF) . It provides global estimates daily averaged atmospheric composition and deposition for nitrogen, sulphur, particulate organic matter and ozone on a 1.0x1.0 degrees grid for the year 2010 in seven different experiments. The experiments are:\n\n•\tAll 2010 emissions are included\n•\tA 20% reduction of anthropogenic NOx emission\n•\tA 20% reduction of anthropogenic NH3 emissions\n•\tA 100% reduction of anthropogenic NH3 and NOx emissions \n•\tA 20% reduction of anthropogenic NH3 and NOx emissions\n•\tA 20% reduction of ALL anthropogenic\n•\tA 100% reduction of ALL anthropogenic\n\nThe EMEP version used is 4.33 and the WRF version is 3.9.1.1.\nThe data was produced as part of the INMS (International Nitrogen Managements System) project that is implemented by the UN Environment with founding through the Global Environment Facility (GEF) and executed trough UK Centre for Ecology & Hydrology (UKCEH).\n","documentType":"GEMINI_DOCUMENT","identifier":"1a5dcd3c-1e65-4d56-b88c-a1b2b9f2ffe0","inmsScale":["Global"],"incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS","Global"],"keywordsProject":["INMS"],"keywordsOther":["Global"],"licence":"Non-Open government licence","lineage":"The EMEP-WRF global meteorology is evaluated with the global WMO AWS network, and over the UK the AURN monitoring stations are used to evaluate the EMEP-WRF atmospheric composition. No further QA/QC is carried out. Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use","locations":["POLYGON((-174.511 -56.745, -174.511 84.162, 136.973 84.162, 136.973 -56.745, -174.511 -56.745))"],"organisation":["UK Centre for Ecology & Hydrology","INMS"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a28d4e46-1b8b-4d53-bcfb-4a80a6968a34","https://data.inms.international/id/1a5dcd3c-1e65-4d56-b88c-a1b2b9f2ffe0"],"availability":"Available","resourceType":"Dataset","state":"published","title":"European Monitoring and Evaluation Program Model (EMEP) driven by Weather and Research Forecast model meteorology (WRF) global simulation of atmospheric composition and deposition for the year 2010","version":1.0,"view":["public","leav","inms-users"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model driven by Weather and Research Forecast model meteorology (WRF) . It provides global estimates daily averaged atmospheric composition and deposition for nitrogen, sulphur,..."},{"metadataDate":"2026-03-23T10:13:35.000+00:00","authorAffiliation":["European Commission, Joint Research Centre"],"authorGivenName":["Monica","Gabriel","Diego","Marilena","Edwin","Efisio"],"authorFamilyName":["Crippa","Oreggioni","Guizzardi","Muntean","Schaaf","Solazzo"],"authorFullName":["Crippa, M.","Oreggioni, G.","Guizzardi, D.","Muntean, M.","Schaaf, E.","Solazzo, E."],"catalogue":"inms","description":"It includes emissions time series (1970-2015)  and gridmaps for Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC), Methane (CH4), Ammonia (NH3), Nitrogen oxides (NOx), Sulfur Dioxide (SO2), Fine Particulate Matter (PM10 and PM2.5) and Carbonaceous speciation (BC, OC).\nEmission gridmaps are expressed in ton substance / 0.1degree x 0.1degree / year for the .txt files and in kg substance /m2 /s for the .nc files.\nEDGAR aims to inform scientists and policy makers on the evolution of the emission inventories over time for all world countries and to provide the scientific community 0.1degX0.1deg gridmaps representing the emissions sources. ","documentType":"GEMINI_DOCUMENT","identifier":"0466dd11-0b69-4c66-b82b-a017d9714bf9","incomingCitationCount":0,"givenName":["Monica","Gabriel","Diego","Marilena","Edwin","Efisio"],"familyName":["Crippa","Oreggioni","Guizzardi","Muntean","Schaaf","Solazzo"],"fullName":["Crippa, M.","Oreggioni, G.","Guizzardi, D.","Muntean, M.","Schaaf, E.","Solazzo, E."],"licence":"Non-Open government licence","lineage":"The emissions in EDGAR are estimated based on the activity data from the international statistics (e.g. IEA, USGS, IFA, FAO etc.) and emissions factors from the official guidebooks such as IPCC and EEA/EMEP, and scientific literature. For emissions distribution on global gridmaps we use proxy data such as population, location of the point sources etc.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["European Commission, Joint Research Centre"],"recordType":"Third-party dataset","resourceIdentifier":["https://data.inms.international/id/0466dd11-0b69-4c66-b82b-a017d9714bf9"],"availability":"Unknown","resourceType":"Third-party dataset","state":"published","title":"Emissions Database for Global Atmospheric Research (EDGAR) Global Air Pollutant Emissions, 1970-2015","version":1.0,"view":["public","inms-users","crimar"],"shortenedDescription":"It includes emissions time series (1970-2015)  and gridmaps for Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC), Methane (CH4), Ammonia (NH3), Nitrogen oxides (NOx), Sulfur Dioxide (SO2), Fine Particulate Matter (PM10 and..."},{"metadataDate":"2026-04-02T08:35:09.000+00:00","authorAffiliation":["PBL Netherlands Environmental Assessment Agency"],"authorGivenName":["Lena"],"authorFamilyName":["Schulte-Uebbing"],"authorFullName":["Lena Schulte-Uebbing"],"authorOrcid":["https://orcid.org/0000-0002-5511-1432"],"catalogue":"inms","documentType":"GEMINI_DOCUMENT","identifier":"86fdc38c-444e-4cdf-ad80-3f82080f3515","incomingCitationCount":0,"givenName":["Lena"],"familyName":["Schulte-Uebbing"],"fullName":["Lena Schulte-Uebbing"],"licence":"Non-Open government licence","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5511-1432"],"organisation":["PBL Netherlands Environmental Assessment Agency"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/86fdc38c-444e-4cdf-ad80-3f82080f3515"],"availability":"Available","resourceType":"Dataset","state":"published","title":"Static Nitro Climate Model (SNCM)","version":1.0,"view":["public","inms-users","ccaporusso@gmx.com"]},{"metadataDate":"2025-12-15T15:57:54.000+00:00","altTitle":["MARINA-Global model for nutrients in water"],"authorAffiliation":["Wageningen University & Research"],"authorOrcid":["https://orcid.org/0000-0002-8063-7743","https://orcid.org/0000-0002-2543-4871","https://orcid.org/0000-0002-8954-6629"],"catalogue":"inms","description":"River export of nitrogen and phosphorus is provided for 2010 and 2050. This data is computed by the MARINA-Global model: Model to Assess River Inputs of pollutants to seas. Nitrogen and phosphorus are in dissolved inorganic and organic forms. \nThe future follows Shared Socio-economic Pathways (SSP) 1 (sustainability-oriented) and 5 (economic-oriented). SSP1 is combined with Representative Concentration Pathway (RCP) 2.6. SSP5 is combined with RCP8.5 to create the scenarios:\n\n1) Business as usual (SSP5-RCP8.5 Low N ambition)\n2) Bioenergy (SSP1-RCP2.6 High N ambition with low meat & dairy diet)\n\nRiver export of the nutrients is calculated from around ten thousands sub-basins as a function of human activities on the land (e.g., agriculture, sewage) and sub-basin characteristics (e.g., hydrology, terrestrial and aquatic retentions). \n\nThe modelling approaches of MARINA-Global are published and evaluated in earlier studies, please see the documentation below.","documentType":"GEMINI_DOCUMENT","identifier":"933f9d5f-07e1-4197-a201-c0867d949c76","incomingCitationCount":2,"inmsProject":["INMS"],"keyword":["INMS","MARINA-Global","Nutrients","River Export","Sub-basins","Globe "],"keywordsTheme":["INMS"],"keywordsOther":["MARINA-Global","Nutrients","River Export","Sub-basins","Globe "],"licence":"Non-Open government licence","lineage":"Sources of the data are indicated in Chapter 11 of the INI book. \n\nAdditional sources\n-\tfor point-source inputs of nutrients to rivers: Strokal, Maryna; Bai, Zhaohai; Franssen, Wietse; Hofstra, Nynke; Koelmans, Albert A.; Ludwig, Fulco; et al. Metadata supporting the article: Urbanization: an increasing source of multiple pollutants to rivers in the 21st century. https://doi.org/10.6084/m9.figshare.13333796  (2020)\n\n-\tHydrological data: https://vic.readthedocs.io/en/master/Overview/ModelOverview/ and ISIMIP2b https://www.isimip.org/\n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-8063-7743","https://orcid.org/0000-0002-2543-4871","https://orcid.org/0000-0002-8954-6629"],"organisation":["Wageningen University & Research","INMS ","INMS"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/933f9d5f-07e1-4197-a201-c0867d949c76"],"availability":"Available","resourceType":"Dataset","state":"published","supplementalName":["The MARINA model (Model to Assess River Inputs of Nutrients to seAs): Model description and results for China "],"title":"Modelled river export of nutrients from sub-basins globally for scenarios SSP1 and SSP5 and for the years 2010 and 2050","version":1.0,"view":["public","inms-users","crimar"],"shortenedDescription":"River export of nitrogen and phosphorus is provided for 2010 and 2050. This data is computed by the MARINA-Global model: Model to Assess River Inputs of pollutants to seas. Nitrogen and phosphorus are in dissolved inorganic and organic forms. \nThe future follows Shared..."},{"metadataDate":"2024-11-04T09:24:25.000+00:00","catalogue":"inms","description":"GLOBIOM is a global economic bottom-up agricultural and forest sector model. The model is based on a detailed spatially explicit grid and estimates economic and environmental impacts, incl. nutrient balances, tightly linked with bio-physical process based models like EPIC. The model is typically used for scenario analysis in medium (2030), long (2050), and very long (2100) time horizon.","documentType":"CEH_MODEL","identifier":"681deb6d-25f4-45e1-86bc-74935aa29fdf","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5e6e20a8-db5f-4aa0-b11a-44e5838827b1","https://data.inms.international/id/681deb6d-25f4-45e1-86bc-74935aa29fdf"],"resourceType":"Model","state":"published","title":"GLOBIOM","version":1.0,"view":["inms-users","public","leav","leclere@iiasa.ac.at"],"shortenedDescription":"GLOBIOM is a global economic bottom-up agricultural and forest sector model. The model is based on a detailed spatially explicit grid and estimates economic and environmental impacts, incl. nutrient balances, tightly linked with bio-physical process based models like..."},{"metadataDate":"2025-12-15T15:57:46.000+00:00","authorAffiliation":["PBL – Netherlands Environmental  Assessment Agency"],"catalogue":"inms","description":"The datasets display the loss of plant biodiversity due to nitrogen deposition in the world in two past years (1970 and 2010) and six modelled scenarios for 2050. \nThe datasets have been created by the GLOBIO 4 model.","documentType":"GEMINI_DOCUMENT","identifier":"3fb43167-0d9b-43ba-bea4-230c64701f10","inmsScale":["Global"],"incomingCitationCount":1,"inmsProject":["INMS"],"keyword":["INMS","Global"],"keywordsProject":["INMS"],"keywordsOther":["Global"],"licence":"Non-Open government licence","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["PBL – Netherlands Environmental  Assessment Agency","UK Centre for Ecology & Hydrology","INMS"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/3fb43167-0d9b-43ba-bea4-230c64701f10"],"availability":"Available","resourceType":"Dataset","state":"published","title":"GLOBIO-terrestrial nitrogen deposition impacts on plant mean species abundance (MSA) for the years 1970, 2010 and 2050","version":1.0,"view":["public","ccaporusso@gmx.com"],"shortenedDescription":"The datasets display the loss of plant biodiversity due to nitrogen deposition in the world in two past years (1970 and 2010) and six modelled scenarios for 2050. \nThe datasets have been created by the GLOBIO 4 model."},{"metadataDate":"2024-11-04T09:24:45.000+00:00","catalogue":"inms","documentType":"CEH_MODEL","identifier":"6a6e1c87-3b56-44a0-a576-f65c5e18450e","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f520356a-aed0-4c73-acdf-b7e01aa88f99","https://data.inms.international/id/6a6e1c87-3b56-44a0-a576-f65c5e18450e"],"resourceType":"Model","state":"published","title":"PCR-GLOBWB","version":1.0,"view":["public","leav","inms-users"]},{"metadataDate":"2024-11-01T10:28:15.000+00:00","authorAffiliation":["European Commission, Joint Research Centre"],"catalogue":"inms","description":"It includes emissions time series and gridmaps for CO2, CH4 and N2O. Carbon dioxide emissions are provided for the period 1970-2018, and CH4 and N2O for 1970-2015. \nEDGAR aims to inform scientists and policy makers on the evolution of the emission inventories over time for all world countries and to provide the scientific community 0.1degX0.1deg gridmaps representing the emissions sources. \nEmission gridmaps are expressed in ton substance / 0.1degree x 0.1degree / year for the .txt files and in kg substance /m2 /s for the .nc files.","documentType":"GEMINI_DOCUMENT","identifier":"78701875-cfa2-48d6-b8bb-9fd7c4beb966","incomingCitationCount":0,"licence":"Non-Open government licence","lineage":"The emissions in EDGAR are estimated based on the activity data from the international statistics (e.g. IEA, USGS, IFA, FAO etc.) and emissions factors from the official guidebooks such as IPCC and EEA/EMEP, and scientific literature. For emissions distribution on global gridmaps we use proxy data such as population, location of the point sources etc.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["European Commission, Joint Research Centre"],"recordType":"Third-party dataset","resourceIdentifier":["https://data.inms.international/id/78701875-cfa2-48d6-b8bb-9fd7c4beb966"],"availability":"Unknown","resourceType":"Third-party dataset","state":"published","title":"Emissions Database for Global Atmospheric Research (EDGAR) Global Greenhouse Gas Emissions, 1970-2015","version":1.0,"view":["public","inms-users","crimar"],"shortenedDescription":"It includes emissions time series and gridmaps for CO2, CH4 and N2O. Carbon dioxide emissions are provided for the period 1970-2018, and CH4 and N2O for 1970-2015. \nEDGAR aims to inform scientists and policy makers on the evolution of the emission inventories over time..."},{"metadataDate":"2024-11-04T09:27:02.000+00:00","catalogue":"inms","description":"The Emissions Database for Global Atmospheric Research (EDGAR) provides independent estimates of the global anthropogenic emissions and emission trends, based on publicly available statistics, for the atmospheric modeling community as well as for policy makers. This scientific independent emission inventory is characterized by a coherent world historical trend from 1970 to 2012, including emissions of all greenhouse gases, air pollutants, aerosols and toxic pollutants (Hg). Data are presented for all countries, with emissions provided per main source category, and spatially allocated on a 0.1x0.1 grid over the globe.","documentType":"CEH_MODEL","identifier":"43a222b0-b7dc-4b54-90e9-855d2f52c950","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/41178be8-1daa-4511-8648-011e4277549a","https://data.inms.international/id/43a222b0-b7dc-4b54-90e9-855d2f52c950"],"resourceType":"Model","state":"published","title":"Emissions Database for Global Atmospheric Research (EDGAR)","version":1.0,"view":["public","leav","inms-users"],"shortenedDescription":"The Emissions Database for Global Atmospheric Research (EDGAR) provides independent estimates of the global anthropogenic emissions and emission trends, based on publicly available statistics, for the atmospheric modeling community as well as for policy makers. This..."},{"metadataDate":"2025-12-15T15:57:49.000+00:00","authorAffiliation":["Potsdam Institute  for Climate Impact Research"],"authorOrcid":["https://orcid.org/0000-0002-8242-6712"],"catalogue":"inms","description":"This dataset provides MAGPIE runs for seven Integrated Nitrogen Management System (INMS) scenarios from 2000 to 2100, with 10 years interval.\n\nThe last historical year is 2020.\n\nThe climate scenarios are represented as combination of SSP-RCP-N (shared socioeconomic pathways - representative concentration pathways - nitrogen pathways) :\n\n1) Business as usual (SSP5-RCP8.5 Low N ambition)\n2) Low N regulation (SSP2-RCP4.5 Low N ambition)\n3) Medium N regulation (SSP2-RCP4.5 Moderate N ambition)\n4) High N regulation (SSP2-RCP4.5 High N ambition)\n5) Best Case (SSP1-RCP4.5 High N ambition)\n6) Best Case + (SSP1-RCP4.5 High N ambition with ambitious diet shift and food loss/waste reductions)\n7) Bioenergy (SSP1-RCP2.6 High N ambition with low meat & dairy diet)","documentType":"GEMINI_DOCUMENT","identifier":"6ca8bc1e-c491-451f-a216-0f4869227dc4","inmsScale":["Global"],"incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS","Global"],"keywordsProject":["INMS"],"keywordsOther":["Global"],"licence":"Non-Open government licence","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-8242-6712"],"organisation":["Potsdam Institute  for Climate Impact Research","INMS"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/6ca8bc1e-c491-451f-a216-0f4869227dc4"],"availability":"Available","resourceType":"Dataset","state":"published","supplementalDescription":["More information on the open-source model MAgPIE can be found at the link below.","Please cite the model using the following references:","Bodirsky, B. L. et al. Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution. Nature Communications 5, (2014)."],"supplementalName":["Dietrich, J. P. et al. MAgPIE 4 – a modular open-source framework for modeling global land systems. Geoscientific Model Development 12, 1299–1317 (2019).","Dietrich, J. P. et al. MAgPIE - An Open Source land-use modeling framework - Version 4.3.0. (2020).","Bodirsky, B. L. et al. N2O emissions from the global agricultural nitrogen cycle – current state and future scenarios. Biogeosciences 9, 4169–4197 (2012)."],"title":"Results of the Model of Agricultural Production and its Impact on the Environment (MAgPIE) for seven Integrated Nitrogen Management System (INMS) global scenarios, 2000-2100","version":1.0,"view":["bodirsky@pik-potsdam.de","public","ccaporusso@gmx.com"],"shortenedDescription":"This dataset provides MAGPIE runs for seven Integrated Nitrogen Management System (INMS) scenarios from 2000 to 2100, with 10 years interval.\n\nThe last historical year is 2020.\n\nThe climate scenarios are represented as combination of SSP-RCP-N (shared socioeconomic..."},{"metadataDate":"2025-12-15T15:57:46.000+00:00","authorAffiliation":["National Oceanography Centre","Plymouth Marine Laboratory"],"authorOrcid":["https://orcid.org/0000-0002-2081-2693","https://orcid.org/0000-0002-1587-4996","https://orcid.org/0000-0002-8949-4785","https://orcid.org/0000-0003-1813-056X"],"catalogue":"inms","description":"Model concentrations of July-to-September mean nitrate and August-to-October mean chlorophyll-a for South Asia seas (62.4°E to 98.3°E, 2.0°N to 26.2°N) derived from a hindcast of the Nucleus for a European Model of the Ocean (NEMO) coupled to the European Regional Seas Ecosystem Model (ERSEM). Data are averaged over the period 1998 to 2007 and for the year 2010. \nNEMO-ERSEM climate projection of nitrate for Southeast Asia seas (77.8°E to 133.0°E, 19.3°S to 24.0°N) under the RCP8.5 climate scenario; average July-to-September concentrations over the periods 2005 to 2015 and 2045 to 2055. ","documentType":"GEMINI_DOCUMENT","identifier":"36bff017-345e-43c8-a470-6d605e15c1dc","incomingCitationCount":0,"keyword":["INMS"],"keywordsProject":["INMS"],"licence":"Non-Open government licence","lineage":"This dataset is based on two NEMO-ERSEM simulations: a hindcast of South Asia Seas and an RCP8.5 climate projection for Southeast Asia. The model setups are described by Polton et al. (2023) (labelled SANH for South Asia and SEAsia for Southeast Asia in https://doi.org/10.5194/gmd-16-1481-2023). ","locations":["POLYGON((62.4 -19.3, 62.4 26.2, 133 26.2, 133 -19.3, 62.4 -19.3))"],"orcid":["https://orcid.org/0000-0002-2081-2693","https://orcid.org/0000-0002-1587-4996","https://orcid.org/0000-0002-8949-4785","https://orcid.org/0000-0003-1813-056X"],"organisation":["National Oceanography Centre","Plymouth Marine Laboratory"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/36bff017-345e-43c8-a470-6d605e15c1dc"],"availability":"Available","resourceType":"Dataset","state":"published","title":"Concentrations of Nitrate (1998-2007, 2010, 2005-2015 and 2045-2055) and Chlorophyll-a (1998-2007 and 2010) for South Asia Seas","version":1.0,"view":["public","ccaporusso@gmx.com","slwa@noc.ac.uk"],"shortenedDescription":"Model concentrations of July-to-September mean nitrate and August-to-October mean chlorophyll-a for South Asia seas (62.4°E to 98.3°E, 2.0°N to 26.2°N) derived from a hindcast of the Nucleus for a European Model of the Ocean (NEMO) coupled to the European Regional Seas..."},{"metadataDate":"2024-11-04T09:37:50.000+00:00","catalogue":"inms","description":"Miterra-Global is an environmental impact assessment model at global scale. The model can be used to assess the effects of the implementation of ammonia (NH3) and nitrate (NO3) measures and policies on the emissions of NH3, (nitrous oxide) N2O, N oxides (NOx), and methane (CH4) to the atmosphere, leaching of N (including nitrate) to ground water and surface waters, and on the phosphorus (P) balance at regional level. The emission and leaching factors are used to calculate greenhouse gas emissions (CO2, CH4, N2O) in a deterministic and annual basis. Model inputs refer to: (1) activity data, such as animal numbers, crop yields and N fertilizer amounts, and (2) spatial environmental data, such as climate and land use.","documentType":"CEH_MODEL","identifier":"5765d43a-458d-48ed-a7b2-5bf1d208ba73","inmsScale":["Global"],"inmsTopic":["Greenhouse Gases"],"incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["Global","Greenhouse Gases","INMS","mitigation practices"],"locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb33db1a-324e-4be6-8114-9d7f5bd18c08","https://data.inms.international/id/5765d43a-458d-48ed-a7b2-5bf1d208ba73"],"resourceType":"Model","state":"published","title":"MITERRA Global","version":1.0,"view":["inms-users","chantal.hendriks@wur.nl","public","leav"],"shortenedDescription":"Miterra-Global is an environmental impact assessment model at global scale. The model can be used to assess the effects of the implementation of ammonia (NH3) and nitrate (NO3) measures and policies on the emissions of NH3, (nitrous oxide) N2O, N oxides (NOx), and methane..."},{"metadataDate":"2024-11-04T09:26:46.000+00:00","catalogue":"inms","documentType":"CEH_MODEL","identifier":"d65a5816-585d-4899-9723-bdacd24246db","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2788461a-3a34-4350-8b9c-9e2b6025bbba","https://data.inms.international/id/d65a5816-585d-4899-9723-bdacd24246db"],"resourceType":"Model","state":"published","title":"TM5","version":1.0,"view":["public","leav","inms-users"]},{"metadataDate":"2024-11-04T09:31:10.000+00:00","catalogue":"inms","description":"The IMAGE-GNM is a global, spatially explicit, distributed model that couples IMAGE (with the global hydrological model PCRaster Global Water Balance (PCR-GLOBWB)) as the basis for describing flow and retention/removal of N and P delivery from soils to surface waters. IMAGE-GNM is a coupled nutrient input–hydrology–in-stream nutrient retention model to quantitatively track the changes in the global freshwater N and P cycles. It includes the interactions between human-induced changes in climate, hydrology and nutrient loading. The hydrological system incorporates a distributed river model that merges both terrestrial and aquatic aspects and includes groundwater and upland areas,  wetlands, riparian zones and floodplains, and reservoirs.","documentType":"CEH_MODEL","identifier":"9bf0cca0-49d3-4119-afa5-f16a2f2491e9","inmsScale":["Global"],"inmsTopic":["Soil"],"inmsPollutant":["Nitrogen"],"incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["Water Quality","Global","Soil","Nitrogen","Phosphorous","Scenario Model","INMS"],"modelType":["Scenario Model"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/29b66950-385f-43d6-8a55-7e431fcad0c9","https://data.inms.international/id/9bf0cca0-49d3-4119-afa5-f16a2f2491e9"],"resourceType":"Model","state":"published","title":" IMAGE GNM - Integrated Model to Assess the Global Environment - Global Nutrient Model","version":1.0,"view":["public","leav","inms-users"],"shortenedDescription":"The IMAGE-GNM is a global, spatially explicit, distributed model that couples IMAGE (with the global hydrological model PCRaster Global Water Balance (PCR-GLOBWB)) as the basis for describing flow and retention/removal of N and P delivery from soils to surface waters...."},{"metadataDate":"2024-11-04T09:27:51.000+00:00","catalogue":"inms","documentType":"CEH_MODEL","identifier":"6b24ce1c-8a2d-4d9b-817f-804fa16007e7","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS","Hydrological","Water","Land"],"recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b0ad695-7335-4355-ae4e-7d1cd33f86d1","https://data.inms.international/id/6b24ce1c-8a2d-4d9b-817f-804fa16007e7"],"resourceType":"Model","state":"published","title":"WBM/VIC","version":1.0,"view":["public","leav","inms-users"]},{"metadataDate":"2025-12-15T15:57:46.000+00:00","authorAffiliation":["National Oceanography Centre"],"authorOrcid":["https://orcid.org/0000-0002-2081-2693"],"catalogue":"inms","description":"Model concentrations of winter nitrate, growing season chlorophyll-a and monthly minimum oxygen for the Northwest European Shelf Seas derived from simulations of the Nucleus for a European Model of the Ocean (NEMO) coupled to the European Regional Seas Ecosystem Model (ERSEM). \nData for mean conditions between 1998 and 2007 and for 2010 are derived from a reanalysis (https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=NWSHELF_MULTIYEAR_BGC_004_011, accessed May 2021). \nClimate projections for mean conditions from 2005 to 2015 and from 2045 to 2055 are for the RCP8.5 climate scenario (https://doi.org/10.5281/zenodo.3953801). ","documentType":"GEMINI_DOCUMENT","identifier":"b6a14d00-8ec0-4936-a4d6-e175766cd319","incomingCitationCount":0,"keyword":["INMS"],"keywordsProject":["INMS"],"licence":"Non-Open government licence","lineage":"This dataset is based on two NEMO-ERSEM simulations for the Northwest European Continental shelf.  \n\nThe reanalysis study was conducted using E.U. Copernicus Marine Service Information: https://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=NWSHELF_MULTIYEAR_BGC_004_011. Validation of the reanalysis data is in https://catalogue.marine.copernicus.eu/documents/QUID/CMEMS-NWS-QUID-004-011.pdf  (accessed May 2021). An evaluation of the RCP8.5 climate projection is described by Wakelin et al. (2020) (https://doi.org/https://doi.org/10.1016/j.pocean.2020.102400). ","locations":["POLYGON((-14.093 44.089, -14.093 63.234, 12.274 63.234, 12.274 44.089, -14.093 44.089))"],"orcid":["https://orcid.org/0000-0002-2081-2693"],"organisation":["National Oceanography Centre"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/b6a14d00-8ec0-4936-a4d6-e175766cd319"],"availability":"Available","resourceType":"Dataset","state":"published","title":"Concentrations of Nitrate, Chlorophyll-a and Oxygen for the Northwest European Shelf Seas (1998-2007, 2010, 2005-2015 and 2045-2055)  ","version":1.0,"view":["public","ccaporusso@gmx.com","slwa@noc.ac.uk"],"shortenedDescription":"Model concentrations of winter nitrate, growing season chlorophyll-a and monthly minimum oxygen for the Northwest European Shelf Seas derived from simulations of the Nucleus for a European Model of the Ocean (NEMO) coupled to the European Regional Seas Ecosystem Model..."},{"metadataDate":"2026-04-02T08:33:14.000+00:00","authorAffiliation":["Boston College","Auburn University"],"authorGivenName":["Hanqin","Naiqing"],"authorFamilyName":["Tian","Pan"],"authorFullName":["Tian, H.","Pan, N."],"authorOrcid":["https://orcid.org/0000-0002-1806-4091","https://orcid.org/0000-0002-1465-7738"],"catalogue":"inms","description":"The dataset includes the effects of N inputs (N fertilizer, N deposition and manure N) on global terrestrial major greenhouse gases (N2O, CO2, CH4) exchange, nitrogen oxide-induced ozone impacts on global terrestrial carbon pools in 2010, which were estimated by the Dynamic Land Ecosystem Model (DLEM). This dataset was prepared for Chapter 13 in the upcoming International Nitrogen Assessment (INA) book.","documentType":"GEMINI_DOCUMENT","identifier":"183ca035-b4e1-4e42-acd0-e3c5a7eb55a9","inmsScale":["Global"],"incomingCitationCount":1,"givenName":["Hanqin","Naiqing"],"familyName":["Tian","Pan"],"fullName":["Tian, H.","Pan, N."],"keyword":["Pollution","Soil","INMS","Global"],"keywordsTheme":["Pollution","Soil"],"keywordsOther":["INMS","Global"],"licence":"Non-Open government licence","lineage":"Dynamic Land Ecosystem Model (DLEM) was used to assess the impacts of nitrogen inputs on GHG (N2O, CO2, CH4) exchange and the transfer of nitrogen from land to water. Gridded data sets used to drive DLEM simulations include climate, CO2 concentration and land use/cover change from NMIP (N2O Model Intercomparison Project), with IMAGE-GNM data on N fertilizer, N deposition and manure N in 2010. MATLAB and ARCGIS were used to extract and process DLEM outputs.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-1806-4091","https://orcid.org/0000-0002-1465-7738"],"organisation":["Boston College","Auburn University"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/183ca035-b4e1-4e42-acd0-e3c5a7eb55a9"],"availability":"Available","resourceType":"Dataset","state":"published","title":"Dynamic Land Ecosystem Model (DLEM) estimates of nitrogen inputs impact on global terrestrial major greenhouse gases (N2O, CO2, CH4) exchange in 2010","topic":["0/Pollution/","0/Soil/"],"version":1.0,"view":["public","ccaporusso@gmx.com"],"shortenedDescription":"The dataset includes the effects of N inputs (N fertilizer, N deposition and manure N) on global terrestrial major greenhouse gases (N2O, CO2, CH4) exchange, nitrogen oxide-induced ozone impacts on global terrestrial carbon pools in 2010, which were estimated by the..."},{"metadataDate":"2026-04-02T08:32:06.000+00:00","authorAffiliation":["European Commission,  Joint Research Centre"],"authorGivenName":["Rita"],"authorFamilyName":["Van Dingenen"],"authorFullName":["Van Dingenen, R."],"authorOrcid":["https://orcid.org/0000-0003-2521-4972"],"catalogue":"inms","description":"This dataset is a model output from the TM5-Fast Scenario Screening Tool (TM5-FASST) which computes the wet and dry annual deposition of NOy, NHx and the sum of both, and monthly AOT40 and total surface ozone gridded on the global domain at 0.5°x0.5° resolution. In this instance TM5-FASST was run for IMAGE historical emissions for years 1970 and 2010.","documentType":"GEMINI_DOCUMENT","identifier":"98a0718b-81bb-491f-8152-c451dd6c211c","incomingCitationCount":0,"givenName":["Rita"],"familyName":["Van Dingenen"],"fullName":["Van Dingenen, R."],"licence":"Non-Open government licence","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-2521-4972"],"organisation":["European Commission,  Joint Research Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/98a0718b-81bb-491f-8152-c451dd6c211c"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"state":"published","title":"Global simulation of NOy and NHx deposition, AOT40 and total ozone (TM5-FASST Scenario Screening Tool) for the years 1970 and 2010","version":1.0,"view":["public","inms-users","ccaporusso@gmx.com"],"shortenedDescription":"This dataset is a model output from the TM5-Fast Scenario Screening Tool (TM5-FASST) which computes the wet and dry annual deposition of NOy, NHx and the sum of both, and monthly AOT40 and total surface ozone gridded on the global domain at 0.5°x0.5° resolution. In..."},{"metadataDate":"2025-12-15T15:57:52.000+00:00","authorAffiliation":["PBL Netherlands Environmental Assessment Agency"],"authorOrcid":[" https://orcid.org/0000-0003-0104-8615"],"catalogue":"inms","description":"This dataset contains global Nitrogen balances by country or IMAGE region. Balances are calculated for 1970, 1990, 2010, 2020 and 2050 for three different Shared Socio-economic Pathways (SSP). \n\nThe climate scenarios are represented as combination of SSP-RCP-N (shared socioeconomic pathways - representative concentration pathways - nitrogen pathways) :\n\n1) Business as usual (SSP5-RCP8.5 Low N ambition)\n2) Low N regulation (SSP2-RCP4.5 Low N ambition)\n3) Medium N regulation (SSP2-RCP4.5 Moderate N ambition)\n4) High N regulation (SSP2-RCP4.5 High N ambition)\n5) Best Case (SSP1-RCP4.5 High N ambition)\n6) Bioenergy (SSP1-RCP2.6 High N ambition with low meat & dairy diet)","documentType":"GEMINI_DOCUMENT","identifier":"ef3a1118-2001-4c85-aa22-a899ca8ec868","incomingCitationCount":0,"inmsProject":["INMS"],"keyword":["INMS"],"keywordsOther":["INMS"],"licence":"Non-Open government licence","lineage":"This dataset is a summary file from the grid-based output of IMAGE-GNM which provides the area (km2) and the major N balance terms (in kg N) for most countries or IMAGE regions. The grid-based dataset was aggregated to country level and the IMAGE world regions. This dataset is important as most INMS users will be mainly interested in the balance files and not in the grid-based IMAGE-GNM output in NetCDF format. ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":[" https://orcid.org/0000-0003-0104-8615 "," https://orcid.org/0000-0003-0104-8615"],"organisation":["PBL Netherlands Environmental Assessment Agency"],"recordType":"Dataset","resourceIdentifier":["https://data.inms.international/id/ef3a1118-2001-4c85-aa22-a899ca8ec868"],"availability":"Available","resourceType":"Dataset","state":"published","title":"Integrated Model to Assess the Global Environment (IMAGE) Global Nutrient Model (GNM) global simulations for Nitrogen balances by country, for the years 1970, 1990, 2010, 2020 and 2050","version":1.0,"view":["public","crimar"],"shortenedDescription":"This dataset contains global Nitrogen balances by country or IMAGE region. Balances are calculated for 1970, 1990, 2010, 2020 and 2050 for three different Shared Socio-economic Pathways (SSP). \n\nThe climate scenarios are represented as combination of SSP-RCP-N (shared..."}],"facets":[{"fieldName":"recordType","displayName":"Record type","hierarchical":false,"admin":false,"results":[{"name":"Dataset","url":"http://data.inms.international:443/inms/documents?facet=recordType%7CDataset","active":false,"count":14},{"name":"Model","url":"http://data.inms.international:443/inms/documents?facet=recordType%7CModel","active":false,"count":15},{"name":"Third-party dataset","url":"http://data.inms.international:443/inms/documents?facet=recordType%7CThird-party%20dataset","active":false,"count":3}]},{"fieldName":"inmsPollutant","displayName":"Pollutant","hierarchical":false,"admin":false,"results":[{"name":"Nitrogen","url":"http://data.inms.international:443/inms/documents?facet=inmsPollutant%7CNitrogen","active":false,"count":2}]},{"fieldName":"modelType","displayName":"Model Type","hierarchical":false,"admin":false,"results":[{"name":"Scenario Model","url":"http://data.inms.international:443/inms/documents?facet=modelType%7CScenario%20Model","active":false,"count":1}]},{"fieldName":"inmsDemonstrationRegion","displayName":"Demonstration Region","hierarchical":false,"admin":false},{"fieldName":"inmsProject","displayName":"Project","hierarchical":false,"admin":false,"results":[{"name":"INMS","url":"http://data.inms.international:443/inms/documents?facet=inmsProject%7CINMS","active":false,"count":23}]}],"order":"asc"}