Links to PRMS plots by SEG

<p style='margin-bottom:0in;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C; background:white;'>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.</span><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'><br />
<br />
<span style='background:white;'>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.</span></span><span style='font-size:12.0pt; font-family:&quot;Times New Roman&quot;,serif;'>&lt;o:p&gt;&lt;/o:p&gt;</span></p>

<p style='margin-bottom:12.0pt; background:white;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'><br />
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).&lt;o:p&gt;&lt;/o:p&gt;</span></p>

<p style='margin-bottom:0in; background:white;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'>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.&lt;o:p&gt;&lt;/o:p&gt;</span></p>

<p style='margin-bottom:12.0pt; background:white;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'>The
summary information presented here shows geospatial results from three main
components:&lt;o:p&gt;&lt;/o:p&gt;</span></p>

<p style='margin-bottom:0in; background:white;'><span style='font-size:12.0pt; font-family:&quot;Arial&quot;,sans-serif; color:#4C4C4C;'>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<br />
<br />
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. <br />
<br />
Data source - HRU: “Summary of percent change in statistics by GCM/RCP scenario
by HRU”<br />
stats_difference_hru_gcm_v2_csv<br />
Data source - SEG: “Summary of percent change in statistics by GCM/RCP scenario
by SEG”<br />
stats_difference_seg_gcm_v2_csv<br />
<br />
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&lt;o:p&gt;&lt;/o:p&gt;</span></p>

<p>&lt;o:p&gt; &lt;/o:p&gt;</p>

<p>&lt;o:p&gt; &lt;/o:p&gt;</p>