The North Central Climate Adapatation Science Center (NC CASC) has released a new R package, Climate Futures Toolbox, with the goal to provide easy access to downscaled climate projections data (MACA) to support climate change analysis and scenario planning. Read more
NC CASC and Earth Lab have recently released the Drought Index Portal (DrIP) through the University of Colorado, Boulder. DrIP is a web analytic resource to display, compare, and extract time series for various indicators of drought in the contiguous United States. DrIP was developed to provide a singular portal on which to perform quick visual comparisons of drought indices across time and space, and extract regional time series data. The tool is hosted on the Cooperative Institute for Research in Environmental Studies (CIRES) web platform to be available for broader research support. Read more
The eddi R package (https://www.earthdatascience.org/eddi/) provides easy access to the Evaporative Demand Drought Index (EDDI) data - an experimental drought monitoring and early warning guidance tool produced by the National Oceanic and Atmospheric Administration. EDDI is available at multiple timescales, from weekly to monthly, providing insight into short-term flash droughts, and long-term droughts. More information on the EDDI product is available on the NOAA EDDI homepage.
The leri R package (https://www.earthdatascience.org/leri/index.html) provides easy access to the Landscape Evaporative Response Index (LERI) data - an experimental drought monitoring and early warning guidance tool produced by the National Oceanic and Atmospheric Administration.
The LERI product is available from the year 2000 to present at a 1 km spatial resolution over the continental United States, at the following timescales:
- 1, 3, 7, and 12 month
- 8 day accumulated or non-accumulated from April - October
More information on the LERI product is available on the NOAA LERI homepage
This script generates an annual time series of the Forest Stress Drought Index (FDSI) for any region in the Contiguous United States between 1950-2099 using monthly projections of precipitation and vapor pressure deficit from MACAv2-metdata. Only inputs to the script required include: (i) identification of the GCM and the emissions scenario (RCP 4.5 or RCP 8.5), and (ii) the latitude and longitude boundaries of the region.