This dataset provides data at the county level for the contiguous United States. It includes monthly Standardized Precipitation Index (SPI) data from 1895-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. Problems or Questions? Email trackingsupport@cdc.gov.

This dataset provides data at the county level for the contiguous United States. It includes weekly United States Drought Monitor (USDM) data from 2000-2016 provided by the Cooperative Institute for Climate and Satellites - North Carolina. Please refer to the metadata attachment for more information. These data are used by the CDC's National Environmental Public Health Tracking Network to generate drought measures. Learn more about drought on the Tracking Network's website: https://ephtracking.cdc.gov/showDroughtLanding. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking. Problems or Questions? Email trackingsupport@cdc.gov.

Drought is a natural hazard that inflicts costly damage to the environment and human communities. Although ample literature exists on the climatological aspects of drought, little is known on whether existing drought indices can predict the damages and how different human communities respond and adapt to the hazard. This project examines (1) whether existing drought indices can predict the occurrence of drought events and their actual damages; (2) how the adaptive capacity (i.e., resilience) varies across space; and (3) what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to examine the first objective of the project. The Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) data, available only at the climate-division level, were downscaled into county-level indices over the 1975-2010 period. The drought damage data, acquired from the Spatial Hazards Events and Losses Database for the United States (SHELDUSTM), were tabulated for the same time period. Statistical correlations were conducted between drought indices and drought damages to test whether these indices accurately represent the drought damage in the study region. This data set contains the two county-level drought indices and drought damage for the period 1975-2010, which should be useful to future related studies.

Drought is a natural hazard that inflicts costly damage to the environment and human communities. Although ample literature exists on the climatological aspects of drought, little is known on whether existing drought indices can predict the damages and how different human communities respond and adapt to the hazard. This project examines (1) whether existing drought indices can predict the occurrence of drought events and their actual damages; (2) how the adaptive capacity (i.e., resilience) varies across space; and (3) what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to examine the first objective of the project. The Palmer Drought Severity Index (PDSI) and Palmer Hydrological Drought Index (PHDI) data, available only at the climate-division level, were downscaled into county-level indices over the 1975-2010 period. The drought damage data, acquired from the Spatial Hazards Events and Losses Database for the United States (SHELDUSTM), were tabulated for the same time period. Statistical correlations were conducted between drought indices and drought damages to test whether these indices accurately represent the drought damage in the study region. This data set contains the two county-level drought indices and drought damage for the period 1975-2010, which should be useful to future related studies.

This child item contains self-calibrating palmer drought severity index values for locations that correspond to the Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region (version 2.1, 2004-2016), which correspond to the NHD Medium Resolution Flow Accumulation grid.

PDSI from the Dai dataset. The Palmer Drought Severity Index (PDSI) is devised by Palmer (1965) to represent the severity of dry and wet spells over the U.S. based on monthly temperature and precipitation data as well as the soil-water holding capacity at that location. These data consist of the monthly PDSI over global land areas from 1850 to 2010. Different precipitation/temperature datasets are used in the different files. Update and more information are available at CGD (Climate and Global Dynamics Division).

This dataset adds attributes describing the self-calibrated Palmer Drought Severity Index (PDSI) during the observation year of wet/dry streamflow observations collected in the Pacific Northwest, USA. Streamflow observation locations are linked to the nearest National Hydrography Dataset high-resolution (NHD-HR) stream segment to obtain stream order and stream permanence (perennial/non-perennial) from NHD-HR. Additionally, the PDSI and precipitation percentile for 7.5 minute quadrangle map extents, within the extent of the conterminous United States (https://carto.nationalmap.gov/arcgis/rest/services/map_indices/MapServer), during the map survey year are presented. NHD perennial/non-perennial classifications derive from the topographic maps.

This dataset adds attributes describing the self-calibrated Palmer Drought Severity Index (PDSI) during the observation year of wet/dry streamflow observations collected in the Pacific Northwest, USA. Streamflow observation locations are linked to the nearest National Hydrography Dataset high-resolution (NHD-HR) stream segment to obtain stream order and stream permanence (perennial/non-perennial) from NHD-HR. Additionally, the PDSI and precipitation percentile for 7.5 minute quadrangle map extents, within the extent of the conterminous United States (https://carto.nationalmap.gov/arcgis/rest/services/map_indices/MapServer), during the map survey year are presented. NHD perennial/non-perennial classifications derive from the topographic maps.

This dataset contains values of the Palmer Hydrological Drought Index (PHDI) for annual and seasonal periods from 1985-2012. Values are derived from data based on National Climatic Data Center (NCDC) climate divisions, of which there are 344 in the U.S.

This dataset contains values of the Palmer Hydrological Drought Index (PHDI) for annual and seasonal periods from 1985-2012. Values are derived from data based on National Climatic Data Center (NCDC) climate divisions, of which there are 344 in the U.S.