Filters: partyWithName: James (Jay) E. Diffendorfer (X) > Categories: Data (X) > partyWithName: Zachary H Ancona (X)
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Modeled projections for deep decarbonization require large amounts of solar energy, which may compete with other land uses such as agriculture, urbanization, and conservation of natural lands. Existing capacity expansion models do not integrate land use land cover change (LULC) dynamics into projections. We explored the interaction between projected LULC and solar photovoltaic (PV) deployment by integrating projections of LULC with a model that can project future deployment of solar PV with high spatial resolution for the conterminous United States. We used four scenarios of LULC projections from 2010 to 2050 and two electricity grid scenarios to model future PV deployment and compare those results against a baseline...
Categories: Data;
Tags: Energy Resources,
Energy expansion modeling,
Land Use Change,
Land cover change,
Photovoltaic,
Through the North American Bat Monitoring Program (NABat), United States Geological Survey (USGS) provided technical and science support to assist in U.S. Fish and Wildlife Services’ (USFWS) Species Status Assessment (“SSA”) for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA data call, provided data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, and future population status for each of the three species, and developed a demographic projection tool to evaluate future viability of each species under multiple threat scenarios. These data...
Categories: Data;
Tags: Ecology,
Southern Canada,
USGS Science Data Catalog (SDC),
USGS-EMA-LOW-SB T&E: Bats,
United States,
Over 4,400 large scale commercial solar facilities are in operation in the United States as of December, 2021, representing over 60 gigawatts of electric power capacity; of these, over 3,900 are ground-mounted with capacities of 1MW or more, specified as large scale solar photovoltaic (LSPV) facilities. LSPV ground-mounted installations continue to grow, with over 400 projects coming online in 2021 alone. Currently, a comprehensive, publicly available georectified data describing the locations and spatial footprints of these facilities does not exist. Analysts from the US Geological Survey and Lawrence Berkeley National Laboratory collaborated to develop and release the United States Large Scale Solar Photovoltaic...
Categories: Data;
Types: ArcGIS REST Map Service,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Energy Resources,
Land Use Change,
Photovoltaic,
Solar,
USGS Science Data Catalog (SDC),
The decline of the iconic monarch butterfly in North America has motivated research on the impacts of land use and land cover (LULC) change and climate variability on monarch habitat and population dynamics. We investigated spring and fall trends in LULC, milkweed and nectar resources over a 20-year period, and ~30 years of climate variables in Mexico and Texas, a key region supporting spring and fall migration during monarchs annual life cycle. We estimated a 2.9% decline in milkweed in Texas, but little to no change in Mexico. Fall and spring nectar resources declined <1% in both countries. Vegetation greenness increased in both the fall and spring in Mexico while the other climate variables, for both countries,...
Analysts from the US Geological Survey and the Lawrence Berkeley National Laboratory collaborated to develop and release the United States Large Scale Solar Photovoltaic Database (USPVDB). This effort built from the expertise gained while developing the regularly updated United States Wind Turbine Database (USWTDB). Starting from the Energy Information Administration (EIA) data, locations of LSPV facilities were visually verified using high-resolution aerial imagery; a polygon was drawn around the extent of facility panel arrays, and facility attributes were appended. Quality assurance and control were achieved via team peer review and comparing the USPVDB to other datasets of U.S. solar photovoltaic. Some facility...
Categories: Data;
Types: ArcGIS REST Map Service,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Photovoltaic,
Solar,
USGS Science Data Catalog (SDC),
United States,
ground-mounted large scale solar
Global wind energy has expanded 5-fold since 2010 and is predicted to expand another 8–10-fold over the next 30 years. Wakes generated by wind turbines can alter downwind microclimates and potentially downwind vegetation. However, the design of past studies has made it difficult to isolate the impact of wake effects on vegetation from land cover change. We used hourly wind data to model wake and non-wake zones around 17 wind facilities across the U.S. and compared remotely-sensed vegetation greenness in wake and non-wake zones before and after construction. We located sampling sites only in the dominant vegetation type and in areas that were not disturbed before or after construction. We found evidence for wake...
Categories: Data;
Tags: Ecology,
Energy Resources,
Land Use Change,
NDVI,
USGS Science Data Catalog (SDC),
The United States Large-Scale Solar Photovoltaic Database (USPVDB) provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. It includes corresponding PV facility information, including panel type, site type, and initial year of operation. The creation of this database was jointly funded by the U.S. Department of Energy (DOE) Solar Energy Technologies Office (SETO) via the Lawrence Berkeley National Laboratory (LBNL) Energy Markets and Policy Department, and the U.S. Geological Survey (USGS) Energy Resources Program. The PV facility records are collected from the U.S. Energy Information Administration (EIA), position-verified and digitized...
Semi-arid urban environments are undergoing an increase in air temperatures, both in average temperatures and in the frequency and intensity of extreme heat events. Within cities, different varieties of urban landcovers (ULC) and their densities influence local air temperatures, either mitigating or increasing heat. Currently, understanding how various combinations of ULCs influence air temperature at the block to neighborhood scale is limited due to the complexities of urban energy balances at small scales. We quantified how ULC influences air temperature at 60 m resolution for day and nighttime climate normals and heatwaves, by integrating data from microclimate temperature sensor networks and high-resolution...
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