The Water Erosion Prediction Project (WEPP), is a physically-based soil erosion prediction technology. WEPP has a number of customized interfaces developed for common applications such as roads, managed forests, forests following wildfire, and rangelands. It also has a large database of cropland soils and vegetation scenarios. The WEPP model is a distributed parameter, continuous simulation model, and is able to describe a given erosion concern in great detail for an experienced user.
The WEPP model consists of multiple applications that can estimate erosion and sediment processes on hillslopes and small watersheds, taking into account climate, land use, site disturbances, vegetation, and soil properties.
SNAP provides several platforms for looking at historic climate trends and climate projections in Alaska and western Canada:
1. Downloadable datasets for historic climate data and projected climate data (temperature and precipitation).
2. Interactive map - provides climate projections for Alaska and western Canada for each decade through 2100. User can choose what variables, time periods, seasonal averages, and emissions scenarios they’d like to view.
SNAP provides climate projections (temperature and precipitation) for Alaska and western Canada, using an ensemble of climate models (GCMs) and 3 emissions scenarios. Information is presented in a variety of formats.
This special report of the IPCC examines the scientific literature on the relationship between climate change and extreme weather and climate events ("˜climate extremes"), and the implications of these events for society and sustainable development.
Scientists and collaborators have launched the ForWarn tool, the strategic research component of the national early warning system, to help natural resource managers rapidly detect, identify, and respond to unexpected changes in the nation's forests. ForWarn produces maps showing potential forest disturbance across the conterminous United States at 231-meter resolution every 8 days, based on images obtained over the preceding 24-day analysis window. For more please see ForWarn.