1.0 DCPLUS 20230503 13415000 20240221 13415000 https://www.arcgis.com/sharing/rest/content/items/fa13665bd5334e6fb9f9d4358c9c593e/info/thumbnail/ago_downloaded.png https://www.arcgis.com/home/item.html?id=fa13665bd5334e6fb9f9d4358c9c593e fa13665bd5334e6fb9f9d4358c9c593e Feature Service https://services.arcgis.com/QVENGdaPbd4LUkLV/arcgis/rest/services/PlotsURLs/FeatureServer Links to PRMS plots by SEG 2023-05-03T13:41:50 2024-02-21T15:18:43 PRMS climate change flow modeling This dataset is to be used in conjunction with all other PRMS National data to reveal projected flow metrics into the future. A study by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of Interior Southeast Climate Adaptation Science Center, evaluated the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land cover change for the period 1952-2099. An application of the Precipitation Runoff Modeling System (PRMS) was used to develop the hydrologic simulations. The model simulations were used to compute the potential changes in hydrologic response across the southeastern U.S. using historical observations of climate and streamflow, and 13 downscaled general circulation models with four representative concentration pathways representing a range of potential future changes in climate. The PRMS simulated hydrologic response within the entire geographic study area – the model domain. The model domain was subset into small local watersheds delineating areas expected to have a similar hydrologic response due to changes in the model inputs. These local watersheds are called “hydrologic response units” or HRUs.<o:p></o:p> The PRMS computes flow generated locally on each HRU for each time step. These flow components then are directed to stream segments (SEGs) for flow aggregation. These segments connect the network of HRUs to simulate accumulated streamflow from the upstream watershed. Each HRU and SEG has a unique ID. For each HRU and SEG, 52 summary streamflow metrics (Index of Hydrologic Alteration or IHA metrics) were calculated based on the daily flow outputs. A description of each IHA metric may be found here (streamflow_description_table.xlsx).<o:p></o:p> The streamflow statistics were selected to describe streamflow conditions that may be most useful in defining the suitability for each river or stream to support sustaining populations of priority aquatic species across the GCPO LCC. The data presented here are intended to provide more easily accessible landscape scale summary information in support of the USGS flow modeling project.<o:p></o:p> The summary information presented here shows geospatial results from three main components:<o:p></o:p> 1) The model domain for SEGs (accumulated flow segments). Each SEG is labeled with a unique ID may be associated with model results using this unique ID. Original data here: https://www.sciencebase.gov/catalog/item/597f2f6ce4b0a38ca2774b3f 2) The future percent difference from historical conditions for each SEG and for each of 50 IHA metrics (two metrics excluded due to a predominance of missing values). The results are based on the difference between future conditions in 2045-2075 and historical conditions from 1952-2005. Values are expressed as the percent difference based on a median of 45 future scenarios. Data source - HRU: “Summary of percent change in statistics by GCM/RCP scenario by HRU” stats_difference_hru_gcm_v2_csv Data source - SEG: “Summary of percent change in statistics by GCM/RCP scenario by SEG” stats_difference_seg_gcm_v2_csv 3) Results from a test (Kolmogorov-Smirnov or KS test) of model agreement. Results are measure of the model skill in accurately reproducing observed historical conditions. Higher values means higher confidence in model output. Lower values means lower confidence in model output. Data sources: not published<o:p></o:p> <o:p> </o:p> <o:p> </o:p> <div> </div><div>The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information. </div> 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 fa13665bd5334e6fb9f9d4358c9c593e https://services.arcgis.com/QVENGdaPbd4LUkLV/arcgis/rest/services/PlotsURLs/FeatureServer Feature Service