The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Probabilities were converted to wet and dry streamflow permanence classes (Categorical wet/dry rasters) with an associated confidence (Threshold and confidence interval rasters).

The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Probabilities were converted to wet and dry streamflow permanence classes (Categorical wet/dry rasters) with an associated confidence (Threshold and confidence interval rasters).

The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Probabilities were converted to wet and dry streamflow permanence classes (Categorical wet/dry rasters) with an associated confidence (Threshold and confidence interval rasters).

This data release contains the model inputs, outputs, and source code (written in R) for a redeveloped PRObability of Streamflow PERmanence (PROSPER) model (version 2.1) that had previously been developed for the Pacific Northwest Region (PROSPER_PNW_2), and a raster data set which shows where influential predictor values were outside the range of calibration data. The PROSPER-PNW version 2.1 model, a random forest model, was redeveloped in the Ranger R package using all the original model inputs consistent with PROSPER_PNW_2 to produce annual streamflow permanence probabilities for calendar years 2004-2016 at a 30-meter stream grid resolution that approximately corresponds to flowlines consistent with the National Hydrography Dataset Medium Resolution (NHD MR). Updated streamflow permanence probabilities ranged from 0 to 1 and were adjusted for the spatial variability in threshold determination of membership of permanence class. The adjusted streamflow permanence probabilities also have an associated estimated standard error. Streamflow permanence class rasters are class determinations based on the adjusted streamflow permanence probability and standard error and replaces the streamflow permanence class from PROSPER_PNW_2.

This data release contains the model inputs, outputs, and source code (written in R) for a redeveloped PRObability of Streamflow PERmanence (PROSPER) model (version 2.1) that had previously been developed for the Pacific Northwest Region (PROSPER_PNW_2), and a raster data set which shows where influential predictor values were outside the range of calibration data. The PROSPER-PNW version 2.1 model, a random forest model, was redeveloped in the Ranger R package using all the original model inputs consistent with PROSPER_PNW_2 to produce annual streamflow permanence probabilities for calendar years 2004-2016 at a 30-meter stream grid resolution that approximately corresponds to flowlines consistent with the National Hydrography Dataset Medium Resolution (NHD MR). Updated streamflow permanence probabilities ranged from 0 to 1 and were adjusted for the spatial variability in threshold determination of membership of permanence class. The adjusted streamflow permanence probabilities also have an associated estimated standard error. Streamflow permanence class rasters are class determinations based on the adjusted streamflow permanence probability and standard error and replaces the streamflow permanence class from PROSPER_PNW_2.

Streamflow Permanence Probability (SPP) rasters represent the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model, annually for years 2004 through 2016, and overall mean and standard deviation. The PROSPER model is a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides predictions of annual streamflow permanence probabilities at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid.

Streamflow Permanence Probability (SPP) rasters represent the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model, annually for years 2004 through 2016, and overall mean and standard deviation. The PROSPER model is a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides predictions of annual streamflow permanence probabilities at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid.

Streamflow Permanence Probability (SPP) rasters represent the raw streamflow permanence probabilities produced by the PRObability of Streamflow PERmanence (PROSPER) model, annually for years 2004 through 2016, and overall mean and standard deviation. The PROSPER model is a GIS raster-based empirical model of probabilistic predictions of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides predictions of annual streamflow permanence probabilities at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. Predictions correspond to pixels on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid.

The PROSPER output rasters represent the estimates of probability of annual streamflow permanence produced by the PRObability of Streamflow PERmanence (PROSPER) model, for years 1989 through 2018, in the upper Missouri River Basin of the United States. The PROSPER model is a raster-based empirical model with outputs representing probabilistic predictions of an unregulated and minimally impaired stream channel in the upper Missouri River Basin, U.S. having year-round flow. This region includes 4-digit Hydrologic Unit Code boundaries 1002-1013. The model provides predictions at a 10-m spatial resolution based on monthly or annually updated values of basin climatic conditions and static physiographic variables upstream from a pixel cell along a stream network. Predictions are assigned to pixel cells on the channel network consistent with the high-resolution National Hydrography Dataset channel network stream grid.

The PROSPER output rasters represent the estimates of probability of annual streamflow permanence produced by the PRObability of Streamflow PERmanence (PROSPER) model, for years 1989 through 2018, in the upper Missouri River Basin of the United States. The PROSPER model is a raster-based empirical model with outputs representing probabilistic predictions of an unregulated and minimally impaired stream channel in the upper Missouri River Basin, U.S. having year-round flow. This region includes 4-digit Hydrologic Unit Code boundaries 1002-1013. The model provides predictions at a 10-m spatial resolution based on monthly or annually updated values of basin climatic conditions and static physiographic variables upstream from a pixel cell along a stream network. Predictions are assigned to pixel cells on the channel network consistent with the high-resolution National Hydrography Dataset channel network stream grid.