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Generate gridded climate data for spatially distributed numerical simulations

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anusplin_pro

Anusplin_pro is a C++ program to run the Anusplin program in batch mode.

Anusplin is a suit of program which can be used to generate climate forcing data for climate change related numerical simulations. More information of these programs can be found here: https://fennerschool.anu.edu.au/research/products/anusplin

In order to generate time series of gridded climate data (temperature, precipitation, etc.) on a high performance computer, I developed this tool to prepare, setup and run Anusplin programs without user interference.

Applications of this tool have been used to generate climate data for three of my scientific publications.

Please consider the following citations if you plan to use this tool.

Chang Liao. (2020, July 5). A C++ program to generate grid-based climate data (Version 1.0.0). Zenodo. http://doi.org/10.5281/zenodo.3930590

Liao, C., & Zhuang, Q. (2017). Quantifying the role of snowmelt in stream discharge in an Alaskan watershed: An analysis using a spatially distributed surface hydrology model.Journal of Geophysical Research: Earth Surface, 122, 2183– 2195. https://doi.org/10.1002/2017JF004214

Chang Liao, Qianlai Zhuang (2017). Quantifying the Role of Permafrost Distribution in Groundwater and Surface Water Interactions Using a Three-Dimensional Hydrological Model. Arctic, Antarctic, and Alpine Research: February 2017, Vol. 49, No. 1, pp. 81-100. https://doi.org/10.1657/AAAR0016-022.

Liao, C., Zhuang, Q., Leung, L. R., & Guo, L. (2019). Quantifying dissolved organic carbon dynamics using a three‐dimensional terrestrial ecosystem model at high spatial‐temporal resolutions. Journal of Advances in Modeling Earth Systems, 11. https://doi.org/10.1029/2019MS001792

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Generate gridded climate data for spatially distributed numerical simulations

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