The Palmer Drought Severity Index dataset provides
high spatial resolution (~4-km) thrice-monthly estimates of this
widely used measure of integrated water supply and demand anomalies
across the contiguous United States from 1979-present. The PDSI
is calculated using precipitation and potential evapotranspiration
derived from the gridded meteorological dataset of Abatzoglou (2013).
Potential evapotranspiration is computed using the Penman-Montieth
equation for a reference grass surface. Available soil water holding
capacity in the top 2.5m of the soil was derived from the STATSGO
soils database and used in the computations. Whereas PDSI has typically
been computed on monthly timescales, we compute these data three-times
a month to provide more timely updates. Due to the spin-up of PDSI
calculations, data for the first year of record should be used
sparingly.
This dataset contains provisional products that are replaced with
updated versions when the complete source data become available.
Products can be distinguished by the value of the 'status' property.
At first, assets are ingested with status='early'. After several
days, they are replaced by assets with status='provisional'.
After about 2 months, they are replaced by the final assets with
status='permanent'.
Bands
Pixel Size 4638.3 meters
Bands
Name
Min
Max
Pixel Size
Description
pdsi
-11.94*
17.92*
meters
Possible values: 4.0 or more (extremely wet), 3.0
to 3.99 (very wet), 2.0 to 2.99 (moderately wet), 1.0 to 1.99
(slightly wet), 0.5 to 0.99 (incipient wet spell), 0.49 to -0.49
(near normal), -0.5 to -0.99 (incipient dry spell), -1.0 to -1.99
(mild drought), -2.0 to -2.99 (moderate drought), -3.0 to -3.99
(severe drought), or -4.0 or less (extreme drought).
* estimated min or max value
Image Properties
Image Properties
Name
Type
Description
status
STRING
'early', 'provisional', or 'permanent'
Terms of Use
Terms of Use
This work (METDATA, by John Abatzoglou) is in the public
domain and is free of known copyright restrictions. Users should
properly cite the source used in the creation of any reports and
publications resulting from the use of this dataset and note the
date when the data was acquired.
Citations
Citations:
Abatzoglou J.T., R. Barbero, J.W. Wolf, Z. Holden (2014), Tracking
interannual streamflow variability with drought indices in the
Pacific Northwest, US, Journal of Hydrometeorology, 15, 1900-1912.
The Palmer Drought Severity Index dataset provides high spatial resolution (~4-km) thrice-monthly estimates of this widely used measure of integrated water supply and demand anomalies across the contiguous United States from 1979-present. The PDSI is calculated using precipitation and potential evapotranspiration derived from the gridded meteorological dataset of Abatzoglou (2013). …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset has been superseded by a newer version, GRIDMET/DROUGHT.\u003c/p\u003e\n"],["\u003cp\u003eThe Palmer Drought Severity Index (PDSI) dataset provides thrice-monthly drought estimates for the contiguous United States from 1979 to 2020.\u003c/p\u003e\n"],["\u003cp\u003eIt offers high spatial resolution (~4km) and utilizes precipitation and evapotranspiration data for calculations.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes a 'status' property indicating whether data is 'early', 'provisional', or 'permanent'.\u003c/p\u003e\n"],["\u003cp\u003ePDSI values range from -11.94 to 17.92, representing drought severity from extreme drought to extremely wet conditions.\u003c/p\u003e\n"]]],["This dataset offers a high-resolution (\\~4-km) Palmer Drought Severity Index (PDSI) for the contiguous U.S., updated thrice-monthly from March 1979 to June 2020. The PDSI, calculated using precipitation and evapotranspiration data, gauges water supply and demand anomalies. Data are available every 10 days, with values categorized from \"extremely wet\" to \"extreme drought.\" The dataset includes status labels ('early', 'provisional', 'permanent') for product versions and should be cited properly. Data for the first year should be used sparingly. The dataset has been superseded by GRIDMET/DROUGHT.\n"],null,["# PDSI: University of Idaho Palmer Drought Severity Index [deprecated]\n\n**Caution:** This dataset has been superseded by [GRIDMET/DROUGHT](/earth-engine/datasets/catalog/GRIDMET_DROUGHT). \n\nDataset Availability\n: 1979-03-01T00:00:00Z--2020-06-20T00:00:00Z\n\nDataset Provider\n:\n\n\n [University of California Merced](http://www.climatologylab.org/gridmet.html)\n\nCadence\n: 10 Days\n\nTags\n:\n climate \n conus \n crop \n drought \n geophysical \n merced \n palmer \n pdsi \n precipitation \nwater-vapor \n\n#### Description\n\nThe Palmer Drought Severity Index dataset provides\nhigh spatial resolution (\\~4-km) thrice-monthly estimates of this\nwidely used measure of integrated water supply and demand anomalies\nacross the contiguous United States from 1979-present. The PDSI\nis calculated using precipitation and potential evapotranspiration\nderived from the gridded meteorological dataset of Abatzoglou (2013).\n\nPotential evapotranspiration is computed using the Penman-Montieth\nequation for a reference grass surface. Available soil water holding\ncapacity in the top 2.5m of the soil was derived from the STATSGO\nsoils database and used in the computations. Whereas PDSI has typically\nbeen computed on monthly timescales, we compute these data three-times\na month to provide more timely updates. Due to the spin-up of PDSI\ncalculations, data for the first year of record should be used\nsparingly.\n\nThis dataset contains provisional products that are replaced with\nupdated versions when the complete source data become available.\nProducts can be distinguished by the value of the 'status' property.\nAt first, assets are ingested with status='early'. After several\ndays, they are replaced by assets with status='provisional'.\nAfter about 2 months, they are replaced by the final assets with\nstatus='permanent'.\n\n### Bands\n\n\n**Pixel Size**\n\n4638.3 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|--------|----------|---------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `pdsi` | -11.94\\* | 17.92\\* | meters | Possible values: 4.0 or more (extremely wet), 3.0 to 3.99 (very wet), 2.0 to 2.99 (moderately wet), 1.0 to 1.99 (slightly wet), 0.5 to 0.99 (incipient wet spell), 0.49 to -0.49 (near normal), -0.5 to -0.99 (incipient dry spell), -1.0 to -1.99 (mild drought), -2.0 to -2.99 (moderate drought), -3.0 to -3.99 (severe drought), or -4.0 or less (extreme drought). |\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|--------|--------|----------------------------------------|\n| status | STRING | 'early', 'provisional', or 'permanent' |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis work (METDATA, by John Abatzoglou) is in the public\ndomain and is free of known copyright restrictions. Users should\nproperly cite the source used in the creation of any reports and\npublications resulting from the use of this dataset and note the\ndate when the data was acquired.\n\n### Citations\n\nCitations:\n\n- Abatzoglou J.T., R. Barbero, J.W. Wolf, Z. Holden (2014), Tracking\n interannual streamflow variability with drought indices in the\n Pacific Northwest, US, Journal of Hydrometeorology, 15, 1900-1912.\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('IDAHO_EPSCOR/PDSI')\n .filter(ee.Filter.date('2018-07-01', '2018-08-01'));\nvar pdsi = dataset.select('pdsi');\nvar pdsiVis = {\n min: -5.0,\n max: 10.0,\n palette: ['red', 'yellow', 'green', 'cyan', 'blue'],\n};\nMap.setCenter(-115.356, 38.686, 5);\nMap.addLayer(pdsi, pdsiVis, 'PDSI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/IDAHO_EPSCOR/IDAHO_EPSCOR_PDSI) \n[PDSI: University of Idaho Palmer Drought Severity Index \\[deprecated\\]](/earth-engine/datasets/catalog/IDAHO_EPSCOR_PDSI) \nThe Palmer Drought Severity Index dataset provides high spatial resolution (\\~4-km) thrice-monthly estimates of this widely used measure of integrated water supply and demand anomalies across the contiguous United States from 1979-present. The PDSI is calculated using precipitation and potential evapotranspiration derived from the gridded meteorological dataset of Abatzoglou (2013). ... \nIDAHO_EPSCOR/PDSI, climate,conus,crop,drought,geophysical,merced,palmer,pdsi,precipitation,water-vapor \n1979-03-01T00:00:00Z/2020-06-20T00:00:00Z \n24.9 -124.9 49.6 -66.8 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/http://www.climatologylab.org/gridmet.html)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_PDSI)"]]