hydroTSM v0.8-6 on CRAN

Apr 28, 2026·
Dr. Mauricio Zambrano-Bigiarini
Dr. Mauricio Zambrano-Bigiarini
· 2 min read
blog

After two years of working mostly in sub-daily functions, the new version of hydroTSM (v0.8-6) was released on April 28th 2026, and it is available on CRAN now https://cran.r-project.org/package=hydroTSM

Among its new features the following stand out:

  • New graphical logo.

  • New webpage, created with pkgdown.

  • Package tested against R version 4.6.0 (2026-04-24) – “Because it was There”, following an imperative request made by CRAN.

  • New function isComplete, for identifying whether a zoo object has a regular time frequency without missing values from the first one to the last one.

  • New function shiftyears, to allow the computation of annual values starting in a month different from january. Mostly for internal purposes only.

  • The baseflow function can now apply the low-pass filter more than three times, which should be mandatory for hourly time series (Ladson et al., 2013).

  • The daily2annual function has a new argument ‘start.month’, to choose the starting month to be used in the computation of annual values.

  • The function cmv has a new argument ‘start.month’, to choose the starting month to be used in the computation of annual values.

  • The matrixplot several new arguments to customise the legend and the output figure.

  • The fdc has a new argument ’thr.pos’, to customise the position of the thresold in the output figure.

  • Several bugfixes.

I hope you enjoy it !.

New logo of the [hydroTSM] R package

New logo of the hydroTSM R package

R R-Pkgs
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, where I lead the Water Resources Observatory Kimün-Ko. 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 😃