{"accessLimitation":{"value":"noLimitations","availability":"Available","description":"Access to the resource is not subject to any access limitations and is available to all users without restriction.","uri":"http://vocab.nerc.ac.uk/collection/N07/current/UNRS/"},"authors":[{"honorificPrefix":"Mr","familyName":"Noguera","givenName":"I","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-0696-9504","fullName":"Noguera, I."},{"honorificPrefix":"Mr","familyName":"Bulut","givenName":"B","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-4567-5258","fullName":"Bulut, B."},{"honorificPrefix":"Mrs","familyName":"Chevuturi","givenName":"A","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-2815-7221","fullName":"Chevuturi, A."},{"honorificPrefix":"Mrs","familyName":"Barker","givenName":"L.J","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-2913-0664","fullName":"Barker, L.J."},{"honorificPrefix":"Mr","familyName":"Hannaford","givenName":"J","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-5256-3310","fullName":"Hannaford, J."}],"availability":"Available","boundingBoxes":[{"westBoundLongitude":-180,"eastBoundLongitude":180,"southBoundLatitude":-90,"northBoundLatitude":90,"bounds":"{\"type\": \"Feature\",      \"properties\": {},      \"geometry\": {        \"type\": \"Polygon\",        \"coordinates\": [[[-180, -90], [-180, 90], [180, 90], [180, -90], [-180, -90]]]      }}","coordinates":"[[[-180, -90], [-180, 90], [180, 90], [180, -90], [-180, -90]]]"}],"citation":{"authors":["Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"bibtex":"https://catalogue.ceh.ac.uk/documents/f5ce92b0-03e8-4719-82ff-c62e6ebe927b/citation?format=bib","day":31,"doi":"10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","month":3,"publisher":"NERC EDS Environmental Information Data Centre","resourceTypeGeneral":"dataset","ris":"https://catalogue.ceh.ac.uk/documents/f5ce92b0-03e8-4719-82ff-c62e6ebe927b/citation?format=ris","title":"High-resolution Global Multi-Index Drought (GMID) dataset, 1980-2024","url":"https://doi.org/10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","year":2026},"contactPoints":[{"displayName":"Ivan Noguera","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"pointOfContact","email":"enquiries@ceh.ac.uk","fullName":"Ivan Noguera","pointOfContact":"UK Centre for Ecology & Hydrology"}],"custodians":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"custodian","email":"info@eidc.ac.uk"}],"datasetReferenceDate":{"publicationDate":"2026-03-31"},"description":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Standardized Evapotranspiration Deficit Index (SEDI), and the Standardized Vapor Pressure Deficit Index (SVPDI). This dataset is available on a global scale covering 1-12, 18, 24, 48-month time scales for the period 1980 to 2024, with high spatial (0.1 degrees) and temporal (weekly and monthly) resolution. GMID was generated using different meteorological input datasets, including: Multi-Source Weighted-Ensemble Precipitation (MSWEP) v2.8 (https://www.gloh2o.org/mswep/), Global Land Evaporation Amsterdam Model (GLEAM) v4.2a (https://www.gleam.eu/), and Multi-Source Weather (MSWX) vMSWX-Past (https://www.gloh2o.org/mswx/).\n\nThe GMID dataset is provided weekly and monthly, including two versions of the five drought indices: one generated using the \"reference\" approach (i.e., based on the probability distribution typically recommended in the literature for calculating these drought indices), and another using the \"best-fit\" approach (i.e., based on the probability distributions that provide better normalised resulting series for each case). GMID represents a comprehensive and robust global long-term dataset for drought (and flash drought) assessment, which will be further updated annually as input data become available.","distributionFormats":[{"name":"NetCDF","type":"application/netcdf","version":"4"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"funding":[{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardTitle":"The International science for Net Zero Plus programme","awardNumber":"NE/X006247/1","awardURI":"https://www.ceh.ac.uk/our-science/projects/international-science-net-zero-plus","orcid":false,"ror":true}],"hasOnlineServiceAgreement":true,"id":"f5ce92b0-03e8-4719-82ff-c62e6ebe927b","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/f5ce92b0-03e8-4719-82ff-c62e6ebe927b.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","eidcDistribution":false,"type":"OTHER"}],"inspireThemes":[{"theme":"Atmospheric Conditions","uri":"http://inspire.ec.europa.eu/theme/ac"}],"keywordsOther":[{"value":"drought","uri":"http://www.eionet.europa.eu/gemet/concept/2347"},{"value":"flash drought"},{"value":"Standardized Precipitation Index (SPI)"},{"value":"Evaporative Drought Demand Index (EDDI)"},{"value":"Standardized Precipitation Evapotranspiration Index (SPEI)"},{"value":"Standardized Evapotranspiration Deficit Index (SEDI)"},{"value":"Standardized Vapor Pressure Deficit Index (SVPDI)"},{"value":"standardized drought indices"},{"value":"multiscalar"}],"keywordsTheme":[{"value":"Climate and climate change","uri":"http://onto.nerc.ac.uk/CEHMD/topic/4"},{"value":"Hydrology","uri":"http://onto.nerc.ac.uk/CEHMD/topic/9"},{"value":"Agriculture","uri":"http://onto.nerc.ac.uk/CEHMD/topic/1"},{"value":"Environmental risk","uri":"http://onto.nerc.ac.uk/CEHMD/topic/5"}],"licences":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}],"lineage":"The drought indices were obtained by the standardization of different meteorological variables: precipitation, potential evapotranspiration, climatic water balance, evapotranspiration deficit and vapor pressure deficit.\n\nTwo different methods (\"reference\" and \"best-fit\" approach) were employed to standardize the variables. Reference version of the indices was calculated the probability distribution recommended by previous studies that explored the suitability of different probability distributions to calculate each drought index. By contrast, Best-fit version of the indices was calculated based on the probability distributions that provide better normalised resulting series for each case according to Shapiro-Wilks test.","metadataDate":"2026-07-25T18:07:43","notGEMINI":false,"onlineResources":[{"url":"https://data.ceda.ac.uk/eidc/deposits01/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","name":"Download the data","description":"Download a copy of this data","function":"fileAccess","size":"120000000000","eidcDistribution":false,"type":"OTHER"},{"url":"https://data-package.ceh.ac.uk/sd/f5ce92b0-03e8-4719-82ff-c62e6ebe927b.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","eidcDistribution":false,"type":"OTHER"}],"publicationDate":"2026-03-31T00:00:00.000Z","publishers":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"publisher","email":"info@eidc.ac.uk"}],"resourceIdentifiers":[{"code":"https://catalogue.ceh.ac.uk/id/f5ce92b0-03e8-4719-82ff-c62e6ebe927b"},{"code":"10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","codeSpace":"doi"}],"resourceType":{"value":"dataset"},"rightsHolders":[{"organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"rightsHolder","email":"enquiries@ceh.ac.uk"}],"spatialReferenceSystems":[{"code":"http://www.opengis.net/def/crs/EPSG/0/4326","title":"WGS 84"}],"spatialRepresentationTypes":["grid"],"spatialResolutions":[{"distance":"0.1","uom":"urn:ogc:def:uom:EPSG::9102"}],"supplemental":[{"description":"Wang, X., Alharbi, R. S., Baez-Villanueva, O. M., Green, A., McCabe, M. F., Wada, Y., Van Dijk, A. I. J. M.,\nAbid, M. A., & Beck, H. E., (2025). Saudi Rainfall (SaRa): Hourly 0.1° Gridded Rainfall (1979-Present)\nfor Saudi Arabia via Machine Learning Fusion of Satellite and Model Data. Hydrology and Earth\nSystem Sciences 29, 4983-5003.","url":"https://www.gloh2o.org/mswep/","function":"relatedDataset"},{"description":"Miralles, D.G., Bonte, O., Koppa, A., Baez-Villanueva, O.M., Tronquo, E., Zhong, F., Beck, H.E., Hulsman, P., Dorigo, W.A., Verhoest, N.E.C., Haghdoost, S.,  GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present, Scientific Data, 12, 416, 2025","url":"https://www.gleam.eu/","function":"relatedDataset"},{"description":"Beck, H. E., van Dijk, A. I. J. M., Larraondo, P. R., McVicar, T. R., Pan, M., Dutra, E., and Miralles, D. G., MSWX: global 3‑hourly 0.1° bias-corrected meteorological data including near real-time updates and forecast ensembles. Bulletin of the American Meteorological Society 103, E710-E732.","url":"https://www.gloh2o.org/mswx/","function":"relatedDataset"}],"temporalExtents":[{"begin":"1980-01-01","end":"2024-12-31"}],"temporalResolution":["Weekly","Monthly"],"title":"High-resolution Global Multi-Index Drought (GMID) dataset, 1980-2024","topicCategories":[{"value":"climatologyMeteorologyAtmosphere","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/climatologyMeteorologyAtmosphere"},{"value":"environment","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment"},{"value":"geoscientificInformation","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/geoscientificInformation"}],"topics":["http://onto.nerc.ac.uk/CEHMD/topic/4","http://onto.nerc.ac.uk/CEHMD/topic/9","http://onto.nerc.ac.uk/CEHMD/topic/1","http://onto.nerc.ac.uk/CEHMD/topic/5"],"type":"dataset","uri":"https://catalogue.ceh.ac.uk/id/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","useConstraints":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}]}