Hi All,
I have calibrated my SWAT Project using SWAT-CUP successfully. I now want to incorporate baseline and future climate data into calibrated SWAT Model. As the SWAT CUP gives the best parameter ranges after successful calibration how should I incorporate these ranges in Arch SWAT Project?
If I use SWAT-CUP and copy the tmp and pcp files in the calibrated projected folder what should be the format of pcp and tmp files as they are inserted individually in ArcSWAT for each station but collectively found in pcp and tmp files of SWAT-CUP?
Which out of these two methods s accurate and more reliable?
Also when i use the fitted best parameters into my uncalibrated ArcSWAT folder and run with the same data the results are quite different from those in SWAT-CUP calibrated model , why the results are different in this case ?
TIA
Regards.
Saima,
You can check some relevant papers to find appropriate methodology for your approach:
Article Future climate change impact evaluation on hydrologic proces...
https://www.nature.com/articles/s41598-018-20818-y
Article Climate change impact assessment on hydrology of a small wat...
Article Climate Change Impact on SWAT Simulated Streamflow in Western Kenya
Dear Saima, also if you need future climate data for your assessment check our webservice theclimatedatafactory.com. You can download the IPCC model projections data (on a common grid) for your country of interest. You can find a "Raw" (for free) and "ready to use" (adjusted/calibrated) version of the data. The methodology is here :Technical Report Bias Adjusting Climate Model Projections
para ingresar datos climáticos futuros se deben incorporar las variaciones en la lluvia y la temperatura en la base de datos de tu proyecto para poder simular los escenarios futuros
Específicamente estas reducciones se efectúan modificando la base de datos del modelo:
*En las tablas .Sub > RFINC ( se ingresa la reducción de los datos de lluvia en porcentaje (%) para cada mes) y en TMPIN C (se ingresa el aumento o disminución de la temperatura en °C para cada mes).
It is better to change only temperature and rainfall time series for future data.
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