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These data are netcdf files of the projected timing of the onset of thermal stress severe enough (>8 Degree Heating Weeks) to cause coral bleaching 2x per decade and 10x per decade (annual) under emissions scenarios RCP8.5 and RCP4.5. The projected timing (a year between 2006 and 2100) is the data value. Values are only shown for the ~60,000 four-km pixels where coral reefs are known to occur.
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With increasing concerns about the impact of warming temperatures on water resources, more attention is being paid the relationship between runoff and precipitation, or runoff efficiency. Temperature is a key influence on Colorado River runoff efficiency, and warming temperatures are projected to reduce runoff efficiency. Here, we investigate the nature of runoff efficiency in the upper Colorado River (UCRB) basin over the past 400 years, with a specific focus on major droughts and pluvials, and to contextualize the instrumental period. We first verify the feasibility of reconstructing runoff efficiency from tree-ring data. The reconstruction is then used to evaluate variability in runoff efficiency over periods...
This report identifies needs and opportunities in the United States Affiliated Pacific Islands (USAPI) region relative to climate change science, management, and adaptation strategies. The region includes the territories of Guam and American Samoa, the Commonwealth of the Northern Marianas (CNMI), and the independent states of Palau, Federated States of Micronesia (FSM), and the Republic of the Marshall Islands (RMI). This inventory is responsive to the Pacific Islands Climate Science Center (PICSC) Strategic Science Agenda and its articulation with the region.
Categories: Data, Publication; Types: Citation; Tags: Pacific Islands CASC
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Located in the northern tropical Pacific Ocean, Majuro is the capital of the Republic of the Marshall Islands. Majuro Atoll consists of a large, narrow landmass and a set of smaller perimeter islands surrounding a lagoon that is over 100 square miles in size. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist of deep bathymetry with steep slopes. The highest elevation of the Majuro Atoll is estimated at only 3-meters above sea level, which is the island community of Laura located on the western part of the atoll. At the eastern edge of the atoll lies the capital...
Categories: Data; Tags: 3D Elevation Program, 3DEP, American Society of Photogrammetry and Remote Sensing, Base Maps, Bathymetric, All tags...
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This data set describes the predicted daily climate (temperature and rainfall) for low, mid, and high-elevations on Mona Loa, Island of Hawaii from 2098-2100. Climate predictions are based on 3 alternative climate scenarios (RCP 4.5, A1B, and RCP 8.5) - see Liao et al. 2015 for more details and climate references. The predicted daily risk of susceptible Hawaiian honeycreepers are based on the daily climate data, mosquito abundance and other factors. Also see Samuel et al. 2011 The dynamics, transmission, and population impacts of avian malaria in native Hawaiian birds: a modeling approach. Ecological Applications 21:2960-2973 for description of the epidemiological model used for avian malaria risk predictions.
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Low-lying island environments, such as the Majuro Atoll in the Republic of the Marshall Islands, are particularly vulnerable to inundation (coastal flooding) whether the increased water levels are from episodic events (storm surge, wave run-up, king tides) or from chronic conditions (long term sea-level rise). Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data are a critical input for assessments of inundation exposure and vulnerability. Previous research has demonstrated that the quality of data used for elevation-based assessments must be well understood and applied to properly model potential impacts. The vertical...
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The zip file below contains raw input and output files for the 4 final version of the ALI Marxan model. The versions all have the same number of runs (100), number of iterations (35 million), SPF factor for each conservation feature,(100) and BLM (0.35). They vary in overall goal levels and whether or not facets were targeted. The four versions are: (1) high overall goal levels, facets not targeted;(2) medium overall goal levels, facets not targeted; (3) medium overall goal levels, facets not targeted; (4) medium overall goal levels, facets targeted at 15%. Please see the associated report (ALI 2013) for further details, and contact Madeline with any questions.
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This report summarizes the results from a climate change adaptation workshop focused on the Columbia Plateau landscape in eastern Washington and parts of Idaho and Oregon. The objective of the workshop was to collaborate with landscape managers to apply results from the Pacific Northwest climate change vulnerability assessment (PNWCCVA) to on-the-ground ecological management objectives. Specifically, we sought to address the following questions: How can model results and datasets be applied to assist with management decisions? How can model results and datasets be made more useful for informing species and landscape management?To this end, we presented information and data developed as part of the PNWCCVA to workshop...
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This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
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The U.S. Great Plains is known for frequent hazardous convective weather and climate extremes. Across this region, climate change is expected to cause more severe droughts, more intense heavy rainfall events, and subsequently more flooding episodes. These potential changes in climate will adversely affect habitats, ecosystems, and landscapes as well as the fish and wildlife they support. Better understanding and simulation of regional precipitation can help natural resource managers mitigate and adapt to these adverse impacts. In this project, we aim to achieve a better precipitation downscaling in the Great Plains with the Weather Research and Forecast (WRF) model and use the high quality dynamic downscaling results...
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Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.
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This folder contains 7 excel files with data from a household questionnaire survey (N=199) conducted for the Marshall Islands Climate and Migration project. The fieldwork took place in March and April 2017. Besides the excel file, the folder also contains the original questionnaire in PDF format. The questionniare looked at livelihood, perceptions of climate change and ecosystem services and migration behaviour. The excel files are 1 file for the main questionnaire data and 6 additional files with data from tables in the questionnaire. Each variable in the questionnaire starts with a Leter (A-K) and a number. This refers to the question number in the questionnaire. The databases uses 3 codes for missing values:...
(1) This written report summarizes and synthesizes results of literature review, interviews, and workshops, providing the scientific basis for and extension strategies for the management recommendations provided in the "green website" [Data Input New Collection]. The report includes an addendum regarding reference bibliographies and a references list with citations. (2) Selected, unusual references that are not readily available online or through standard academic sources were collected by the project. (3) Selected photographs are retained by the project in electronic form.
The TopoWx ("Topography Weather") gridded dataset contains historical 30-arcsec resolution (~800-m) interpolations of minimum and maximum topoclimatic air temperature for the conterminous U.S. Using both DEM-based variables and MODIS land skin temperature as predictors of air temperature, interpolation procedures include moving window regression kriging and geographically weighted regression. This temperature set was created independently of the NCCWSC funded project, "Can Camouflage Keep up with Climate Change? Connecting Downscaled Climate Models to Adaptation for a Key Forest Species", but was in part motivated by the project.
The aim of this project is to facilitate expansion of current data management protocols to accommodate social science data for the USGS National Climate Change and Wildlife Science Center (NCCWSC) and its regional Climate Science Centers (CSCs). To address this expansion, we (1) identified the best practices and approaches from practitioners/experts through interviews with current curators of social science data, (2) explored the approaches of existing tools and services to determine if they are capable of meeting the needs of the NCCWSC, and (3) conducted a survey of the specific user community, with a focus on social science researchers funded by the NCCWSC and managers of the data within the program. The dataset...
This data release is provided in support of Arismendi, I., Dunham, J.B., Heck, M.P., Schultz, L.D., Hockman-Wert, D.P., 2017, A statistical method to predict flow permanence in dryland streams from time series of stream temperature: Water, v. 9, no. 12, p. 946, https://doi.org/10.3390/w9120946. This code release contains all of the source code from the "Hidden Markov Model" sections of the associated manuscript. The source code was written using the R programming language (www.r-project.org, version 3.3.1). Running the code requires knowlege of the R programming language. The code snippet requires the folder location containing the data, and the site being processed, to be updated. The code requires certain R packages,...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...


map background search result map search result map TNC Land Facets for the ALI analysis area Final ALI Marxan folders Final Report: Climate Vulnerability and Adaptation in the Columbia Plateau, WA Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 Selection frequency score Figure(6) One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016 Multi-century reconstructions of temperature, precipitation, and runoff efficiency for the Upper Colorado River Basin Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands RMI Questionnaire data of the Marshall Islands Climate and Migration Project Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017) BNU Historical Prescribed Burn Windows for the Southeast United States 1950-1999 MIROCESM Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Inundation Exposure Assessment for Majuro Atoll, Republic of the Marshall Islands Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017) One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016 Predicted climate and avian malaria risk to Hawaiian honeycreepers on the Island of Hawaii from 2098-2100 TNC Land Facets for the ALI analysis area Final ALI Marxan folders Final Report: Climate Vulnerability and Adaptation in the Columbia Plateau, WA Selection frequency score Figure(6) RMI Questionnaire data of the Marshall Islands Climate and Migration Project Multi-century reconstructions of temperature, precipitation, and runoff efficiency for the Upper Colorado River Basin BNU Historical Prescribed Burn Windows for the Southeast United States 1950-1999 MIROCESM Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Very High-Resolution Dynamic Downscaling of Regional Climate for Use in Long-term Hydrologic Planning along the Red River Valley System