Drought Severity Index, 12-Month Accumulations. Projections for a range of future warming levels from UKCP18. Provided on a 12km BNG grid.This index is not threshold based. Instead, it is calculated with 12-month rainfall deficits provided as a percentage of the mean annual climatological total rainfall (1981–2000) for that location. It is therefore a measure of drought severity, not frequency, and higher values indicate more severe drought.12-month accumulations have been selected as this is likely to indicate hydrological drought - water scarcity over a much longer period of time which heavily deplete water resources on a large scale (as opposed to meterological or agricultural drought, which generally occur on shorter timescales of 3-12 months). However this categorisation is not fixed, because rainfall deficits accumulated over 12-months could lead to different types of drought and drought impacts, depending on the level of vulnerability to reduced rainfall in a region.This data contains a field for each warming level. They are named 'DSI12' (Drought Severity Index for 12 month accumulations), the warming level, and 'upper' 'median' or 'lower' as per the description below. E.g. 'DSI12 2.5 median' is the median value for the 2.5°C projection. Decimal points are included in field aliases but not field names e.g. 'DSI12 2.5 median' is 'DSI12_25_median'. Data defaults to displaying 'DSI12 2.0 median' values, use 'change style' to display other values.The warming levels used are 1.5°C, 2.0°C, 2.5°C, 3.0°C, 4.0°C, and two baselines are also provided for 1981-2000 (corresponding to 0.51°C warming) and 2000-2017 (corresponding to 0.835°C warming).What is the data?The data is from the UKCP18 regional projections using the RCP8.5 scenario. Rather than giving projections for a specific date under different scenarios, one scenario is used and projections are given at the different warming levels. So this data shows the expected Drought Severity Index should these warming levels be reached, at the time that the warming level is reached.For full details, see 'Future Changes to high impact weather in the UK'. HM Hanlon, D Bernie, G Carigi and JA Lowe. Climatic Change, 166, 50 (2021) https://doi.org/10.1007/s10584-021-03100-5What do the 'median', 'upper', and 'lower' values mean?This scenario is run as 12 separate ensemble members. To select which ensemble members to use, a single value was taken from each ensemble member - the mean of a 21yr period centred on the year the warming level was reached. They were then ranked in order from lowest to highest.The 'lower' fields are the second lowest ranked ensemble member.The 'higher' fields are the second highest ranked ensemble member.The 'median' fields are the median average of all ensemble members.This gives a median average value, and a spread of the ensemble members indicating the level of uncertainty in the projections.This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/

The EnviroAtlas metrics of green space and natural environment selected to compute a Community EcoHealth Index. This dataset is associated with the following publication: Cochran, F., L. Jackson, A. Neale, J. Lovette, and L. Tran. A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(15): 2760, (2019).

The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

The files included in this submission contain all data pertinent to the methods and results of this task's output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified using a new metric, Reservoir Productivity Index, as explained in the Reservoirs Methodology Memo (included in zip file). Shapefile and images of the Reservoir Productivity and Reservoir Uncertainty are included as well (hover over file display names to see actual file names in bottom-left corner of screen).

This dataset includes the final Technical Note and accompanying GIS datasets delivered by Cardno and UNSW for their proof-of-concept Passive Surveillance Index (PSI) trial in Parramatta, through TfNSW’s Safety After Dark Innovation Challenge (SADIC). The PSI scores walking routes based on quantifiable indicators. The tool may be a starting point for planners to make informed decisions on how safe cities may factor passive surveillance into their design. The [web map](https://cardnoanz.maps.arcgis.com/apps/webappviewer/index.html?id=82110546dbce47f58a4bbb47e94a6779) visually displays the PSI for different times of the night across the trial area. This website works best using the Google Chrome browser. Contact: Elizabeth Muscat, [elizabeth.muscat@cardno.com.au](mailto:elizabeth.muscat@cardno.com.au) Output: the SADIC PSI Data zip file and technical report

A collection of mapped water, disaster, climate, environment, and water-related social and economic indicators, from various sources, including: Lake Levels, Standardized Precipitation Index, GEOGloWS Streamflow Explorer, City Water Intakes, Glacker Inventory, Surface Water Explorer, Cropping Extent, Water Conflicts, Population Density, Land Cover Comparison, Water Stress (Aqueduct), Livestock Density, GRACE Groundwater, Forest Cover, Satellite Temperature, MODIS Layers, Night LIghts, Satellite Precipitation (NASA GPM), Hydroviewer, Global urban Footprint, Watershed Mapper, Annual Precipitation, Soil Moisture, Water Transition, Global Wetlands, Land-Water Changes, Snow Cover, Martime Boundaries, Illustrative Watershed Tool, Water Security Dashboard, Major Ports, World Water Quality, World Wind Map, ESRI WATER Balance, GEOGRLAM RAPP, GEOSS Portal, GRACE Groundwater Portal, Open Street Map Data, Servir Tehys Apps, NASA Disasters Portal, GEOGLOWS Streamflow Estimater, GFMS, MODIS Flood Explorer, IWMI Water Data Portal, GDACS Tool, GDACS Floods, Flood Exposure, Country Data Visualizations, Drought Exposure, Flood Risk, NOAA Buoy Data Center, Flood Frequency, Flood Observatory, Climate Engine, GADS (Agriculture) Climate (KNMI) Stations, Fishing Watch, MIT Trad Atlas, GRDC, Climate Stations, Dams, Hydropower Plants, All Power Plants, Tsunamis, Groundwater Climate Vulnerability, Climate Change Knowledge Portal, Projected Dry Spells, Protected Areas, Erosion Risks, Toxic Sites, Water Quality (Chlorophyll-A), Sea Surface Temperature, Crop Nutrient Balance, Landsat Archive, WorldPop, UN Cities Population, Google Earth Engine Datasets, Open Data Cube, FAO WaPOR, CIESIN Pop Grid, DFO App, Google Earth

Unconventional Gas Recovery Program Information File Accession List - names and numbers associated with the program's files and documents.

The Water Risk Filter is a practical online tool that helps companies and investors assess and respond to water-related risks facing their operations and investments across the globe. Developed by WWF and the German finance institution DEG, the Water Risk Filter has become a leading and trusted source of water risk data for thousands of users – from multinational corporations and SMEs to financial institutions – which have used it to evaluate hundreds of thousands of specific sites. After a major upgrade in 2018 and a wealth of new functions, the Water Risk Filter 5.0 enables companies and investors to Explore, Assess, Value and Respond to water risks. Lately, the Water Risk Filter provides scenarios of water risks for 2030 and 2050, integrating climate and socio-economic changes in three different pathways.