Mawün rainfall explorer launched !
Mawün rainfall explorer launched !
After more than one year of development, on September 1st 2020 an unprecedented web platform for exploring gridded precipitation products was launced as a new weather service at the CR2 website: Mawün:
Mawün ("rain" in Mapuzungun) is an online platform dedicated to exploring different spatially distributed estimates of precipitation available for continental Chile until 2019, whose main objective is to facilitate the visualization and exploratory analysis of various available products.
Mawün was developed by the Water Resources Observatory of the Department of Civil Engineering at the Universidad de La Frontera with the support of the Center for Climate and Resilience Research (CR)2.
A description of the web platform, examples, a complete tutorial and the platform itself can be found in the following links (only in Spanish):
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Description: http://www.cr2.cl/mawun-explorador-de-precipitaciones/
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Examples: http://www.cr2.cl/mawun-explorador-de-precipitaciones/ejemplos/
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Tutorial: http://www.cr2.cl/mawun-explorador-de-precipitaciones/tutorial/
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Web platform: http://mawun.cr2.cl/
All comments are highly welcome at the e-mail address indicated in the ‘Acerca de’ window of [Mawün].
I hope that this new climate service will be useful for all those interested in precipitation.
My Caption
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 😃