Committed to scientific excellence and integrity, DRI faculty, students who work alongside them, and staff have developed scientific knowledge and innovative technologies in research projects around the globe. The Desert Research Institute (DRI) is a recognized world leader in basic and applied environmental research. Find out more about the initiative, partnerships, and updates at and Twitter, and see the initiative’s peer-reviewed publication. The science team includes: DRI researchers Justin Huntington, Britta Daudert, Jody Hansen, Thomas Ott, Kristen O’Shea, Charles Morton, Dan McEvoy, and Eric Jensen, as well as UC Merced researchers Katherine Hegewisch and John Abatzaglou. Moving forward this summer, the team will be adding even more features and functionality to the app, further expanding access to the API, and hosting several public agency webinars and in-person workshops across the Western U.S.Ĭ is a collaboration between DRI, UC Merced, Google, and federal partners. “The initial Faculty Research Award by Google, followed by funding from NOAA-NIDIS and other federal agencies, has led to a very fruitful and rewarding public-private partnership.” This partnership will continue to produce new datasets, processing capabilities, stakeholder engagement, and web application and API enhancements to advance research, drought monitoring, and early warning. “Climate Engine is a powerful cloud solution that has enabled NOAA to rapidly create and disseminate critical climate and drought information in ways that were previously impossible,” says Steve Ansari, physical scientist with NOAA’s National Centers for Environmental Information. and 3) OpenET monthly evapotranspiration, which provides Landsat satellite maps of vegetation water use at field-scale across the Western U.S.Īs one of Climate Engine’s primary partners, NOAA’s National Integrated Drought Information System (NIDIS) uses the Climate Engine Application Programming Interface (API) to automatically create drought datasets shared on. Notable datasets recently added include: 1) ERA5 Ag, which enables calculation of global drought, snowpack, and water demand indicators in near real-time 2) Rangeland Analysis Platform, a 37-year Landsat dataset of vegetation cover and biomass production for the continental U.S.
It overcomes the computational barriers many research institutions and public agencies face when using large datasets by using Google Earth Engine’s parallel cloud computing platform. The Climate Engine app is unique in that it enables users to visualize and analyze vast amounts of data without the need to code, and results can be downloaded, shared, and recreated with a simple link. “So, we wanted to create a tool that would allow researchers and practitioners to spend more time making discoveries and impact using the best available science.” “As researchers trying to process and visualize many Earth observations together, we understand how difficult it can be to work with these large and disjointed datasets,” Huntington says. These enhanced resources will help Climate Engine’s diverse u ser community - which includes 12,000+ registered users from public agencies, non-profits, research institutions, and tribal governments - to better use the app to produce charts and maps of environmental indicators such as drought, fire risk, vegetation condition, and agricultural water use. Interactive maps and data visualizations produced using decades of satellite data have been a cornerstone of the app, and the new updates will make it easier than ever to use satellite, climate, and forecast data together. org is being re-launched with new datasets, support resources, and functionality to increase the capabilities and user-friendliness of the site.
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“If you’re trying to study how climate and natural resource management affects the environment, nothing beats the combination of maps and time series for unpacking the data,” says Justin Huntington, Ph.D., Climate Engine project lead and research professor of hydrology at DRI.įirst launched in 2016 at the White House Water Summit, C limateEngine.
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Climate Engine ’s innovative web application allow s scientists, natural resource agencies, and other users to create maps and time series plots that integrate satellite and climate data, providing an indispensable - and free - tool for visualizing complex datasets. Unfortunately, processing such vast amounts of data can be time and cost-prohibitive, which is why researchers teamed up with Google and federal agencies to create. The combined use of s atellite and climate data has rapidly become critical for scientists and resource managers seeking to accurately assess changes in land cover and land use over time and across space.
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