Data Format ‐Temperature and discharge output file is in csv format. Data Units ‐Temperature – Degrees Celsius, Discharge – Cubic Meters per Day ‐The data is organized as followed: Pixel Location – Lat, Long Catchment – name of RAP catchment the pixel belongs to Date – Julian day Temperature – T_Historic, T_2020s, T_2040s, and T_2080s Discharge – Q_H(Historic), Q_2020s, Q_2040s, and Q_2080s
Distributed hydrologic modeling is an important tool for quantifying dynamic environmental constraints
(river flow and temperature) on stream habitat quantity, quality and distribution as they may be affected
by climate change. A regional scale hydrologic simulation scheme was developed to predict stream flow
and temperature changes under historical (1916 to 2006) and future (2020s, 2040s, 2080s) climate
change scenarios (IPCC AR4) as they affect current and future patterns of freshwater salmon habitat and
associated productivity of North Pacific Rim (NPR) river basins.
The historical simulations represent data simulated between 1916‐2006 ,while the remaining data
represent future simulations. For each future simulation, there are also 91 year daily data, which were
derived based on the 91‐year (1916‐2006) historic forcing (Precipitaion, Tmax, Tmin) using delta method
downscaling skill. We use the 91‐year downscaled simulations to represent the future flow/T variations
for each 2020s, 2040s, and 2080s.
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