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.
Stream data are needed to enable managers to understand baseline conditions, historic trends, and potential impacts of climate change on stream temperature and flow, and in turn on aquatic species in freshwater ecosystems.
NorEaST is being developed to provide a coordinated, multi-agency regional web portal to compile, store, map, and distribute continuous stream temperature locations and data across the Northeastern U.S.
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.
ForWarn is a satellite-based monitoring and assessment tool that provides an overview of potential forest disturbances. ForWarn produces national maps (lower 48 states) every eight days, using NASA MODIS (Moderate Resolution Imaging Spectroradiometer) satellite imagery to recognize and track changes in vegetation health and condition. Current satellite "greenness" is compared with expected or maximum greenness seen over a historical baseline period.
ForWarn is a satellite-based monitoring and assessment tool that provides an overview of potential forest disturbances for the conterminous U.S.
The SAVS uses an online questionnaire with 22 criteria to predict vulnerability or population response of species to provide a framework for assessing vulnerability to future climate change. The 22 multiple-choice questions are grouped into four categories by theme: habitat, physiology, phenology and biotic interactions. The questionnaire is completed using information gathered from published materials, personal knowledge, or expert consultation.
SAVS uses an online questionnaire with 22 criteria to predict vulnerability or resilience of an individual species to future climate change. Numerical scores indicating vulnerability or resilience for terrestrial vertebrate species are generated.
Data Basin is a science-based mapping and analysis platform that supports learning, research, and sustainable environmental stewardship. The Climate Center is powered by Data Basin, and centralizes climate change-related datasets, maps and findings. Tools are provided to visualize, analyze, and communicate vulnerabilities, trends or predicted future scenarios at local and regional scales.
The Data Basin Climate Center centralizes climate change-related datasets, maps and findings. Tools are provided to visualize, analyze, and communicate vulnerabilities, trends or predicted future scenarios at multiple scales.
WaSSI is an integrated, process-based model that can be used to project the effects of forest land cover change, climate change, and water withdrawals on river flows, water supply stress, and ecosystem productivity (i.e. carbon dynamics). WaSSI operates on a monthly time step at the HUC-4 (8-digit HUC) watershed scale (see more on HUCs) and across Mexico at the 0.5 degree scale.
WaSSI is a model that can be used to project the effects of forest land cover change, climate change, and water withdrawals on river flows, water supply stress, and ecosystem productivity. Users can define custom scenarios to run through the model's online interface.
Significant amounts of stream temperature data have been collected during the last two decades, but strategic coordination of these collection efforts within and among agencies has been lacking. The NorWeST project has aggregated steam temperature data from the Northwestern U.S. into a publicly available database and also uses the data to develop stream temperature models.
NorWeST aggregates stream temperature data from the Northwestern U.S. into a stream temperature database, and uses the data to develop stream temperature models.