hydroPSO v0.5-0 on CRAN

Mar 18, 2020·
Dr. Mauricio Zambrano-Bigiarini
Dr. Mauricio Zambrano-Bigiarini
· 1 min read
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After a long amount of work, the new version of hydroPSO (v0.5-0) was released today March 18th 2020, and it is available on CRAN now https://cran.r-project.org/package=hydroPSO

Among its new features stand out:

  • Full compatibility with (hydrological/environmental) models implemented as R functions (e.g., TUWmodel, GR4J, etc)

  • New vignette showing how to calibrate TUWmodel with hydroPSO.

  • New vignette showing how to calibrate TUWmodel with GR4J (and other models of the airGR family).

  • verification: now it is fully compatible with R-based models and allows parallelisation.

  • read_results, plot_results, read_out :much faster now due to the use of data.table::fread instead of read.table

  • New dataset Trancura9414001 with daily time series on P, Temp, PET, and Q from 1979 to 2016.

  • Package tested against R 4.0.0 (unstable) (2020-03-17 r77992) –“Unsuffered Consequences”, following an imperative request made by CRAN.

  • All the new features can be read at: https://cran.r-project.org/web/packages/hydroPSO/NEWS

I hope you enjoy it !.

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Dr. Mauricio Zambrano-Bigiarini
Authors
Dr. Mauricio Zambrano-Bigiarini (he/him)
Associate Professor

I am an Associate Professor in the Department of Civil Engineering at the University of La Frontera. I hold a PhD in Environmental Engineering from the University of Trento (Italy) and completed postdoctoral training at the European Commission’s Joint Research Centre. I have more than 20 years of experience in water resources research and have previously served as an Associate Researcher at the Center for Climate and Resilience Research (CR)2 and as a member of the Earth Sciences Assessment Group of the Chilean National Research and Development Agency (ANID).

My research lies at the interface of hydrology, data science, and environmental sciences, with a particular focus on the use of gridded datasets and open-source tools to investigate droughts, extreme events, and water-related impacts of global change.

I work across spatial and temporal scales to improve the understanding of catchment-scale hydrological processes and to translate this knowledge into operational modelling, forecasting, and early-warning systems that support robust environmental decision-making.

Please reach out to collaborate 😃