Exploring trends through “RainSphere”: Research data transformed into public knowledge

Bulletin of the American Meteorological Society | Nguyen et al. [2016]

Abstract

A new easy-to-use climate data exploration tool fosters scientific study and application and promotes independent inquisition and discovery of climate studies.

A new user-friendly climate data exploration tool called CHRS (Center for Hydrometeorology and Remote Sensing) RainSphere has been developed for use in a range of scientific studies and applications as well as to aid in the education of the general public and promote independent inquisition and discovery of climate studies. Over 30 years of retrospective global precipitation estimates made possible via the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks – Climate Data Record (PERSIANN-CDR) and future projections of precipitation under several carbon emission scenarios from the Intergovernmental Panel on Climate Change (IPCC) Coupled Model Intercomparison Project, Phase 5 (CMIP5) are available for visualization on the CHRS RainSphere interface. Users are able to easily customize their investigations of historical precipitation estimates and future projections through automatically generated analysis products including time series, spatial plots, and basic trend analysis. Easy-to-use browsing capabilities allows the global data to swiftly be subset into a regions of interest by country, political division (e.g. province/state), continental basin, major basin, tributary basin, watershed or a highly localized, searchable location. The tool automatically generates summarizing reports with information about the selected area and also allows users to download any data and/or statistics extracted after browsing. CHRS RainSphere allows the data to speak for itself in a way that is easily understandable by the public in order to increase the number of informed participants in the conversation of climate and climate variability.

Full text can be found here.

 

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