d2fbf0c3-14e4-4e29-ac11-c64c999cbb5c eng Standardized Groundwater Index (SGI) J.P. Bloomfield N/A jpb@bgs.ac.uk http://www.hydrol-earth-syst-sci.net/17/4769/2013/ 2022-02-07T11:04:24 ISO 19115:2003/19139 1.0 http://www.hydrol-earth-syst-sci.net/17/4769/2013/ Spatial_reference EPSG 7.9 Standardized Groundwater Index (SGI) J.P. Bloomfield > N/A jpb@bgs.ac.uk http://www.hydrol-earth-syst-sci.net/17/4769/2013/ This index can be used to determine and characterize groundwater drought hazards. Mapping hydrological drought hazard N/A N/A, jpb@bgs.ac.uk jpb@bgs.ac.uk P0Y0M0DT0H0M0S https://droughtcatalogue.com/thumbnails/Global_Indices.png thumbnail https://droughtcatalogue.com/thumbnails/Global_Indices.png large_thumbnail Type: Indices Type of Drought: Hydrological Drought Application: Mapping hydrological drought hazard Extent: Not relevant Groundwater levels Not relevant Aggregation period: Not relevant Spatial scale: Not relevant eng Not relevant 1 -180 180 -90 90 Not relevant Not relevant Various http://www.hydrol-earth-syst-sci.net/17/4769/2013/ http://www.hydrol-earth-syst-sci.net/17/4769/2013/ Not relevant -180 180 -90 90 Mapping hydrological drought hazard N/A N/A 1 Codelist omission 1 Data requirements to use: Groundwater levels; Data used: Not relevant; Data format: N/A; Data access: N/A; Concise description: The SGI builds on the Standardized Precipitation Index (SPI) to account for differences in the form and characteristics of groundwater level and precipitation time series. The SGI is estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. These monthly estimates are then merged to form a continuous index. Standardized Groundwater Index (SGI) This index can be used to determine and characterize groundwater drought hazards. Indices Hydrological Mapping hydrological drought hazard N/A The SGI builds on the Standardized Precipitation Index (SPI) to account for differences in the form and characteristics of groundwater level and precipitation time series. The SGI is estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. These monthly estimates are then merged to form a continuous index. http://www.hydrol-earth-syst-sci.net/17/4769/2013/ N/A J.P. Bloomfield The following package requires Matlab and a MathWorks Account: https://nl.mathworks.com/matlabcentral/fileexchange/51081-standardized-drought-analysis-toolbox--sdat- N/A Bloomfield, J. P. and Marchant, B. P.: Analysis of groundwater drought building on the standardised precipitation index approach, Hydrol. Earth Syst. Sci., 17, 4769-4787, https://doi.org/10.5194/hess-17-4769-2013, 2013. Bloomfield, J. P., Marchant, B. P., Bricker, S. H., and Morgan, R. B.: Regional analysis of groundwater droughts using hydrograph classification, Hydrol. Earth Syst. Sci., 19, 4327-4344, https://doi.org/10.5194/hess-19-4327-2015, 2015. Haas, J. C., and Birk, S. (2015, December). Identifying Groundwater Droughts using standardized Water Levels. In AGU Fall Meeting Abstracts. N/A Weaknesses are largely similar to that of SPI: dependent on length of available timeseries,assumed distribution of groundwater levels. Additionally dependent on local recharge patterns. Low groundwater levels do not necessarily indicate serious drought. Additionally, the indicator has no real history of use. N/A