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Resource managers, policymakers, and scientists require tools to inform water resource management and planning. Information on hydrologic factors – such as streamflow, snowpack, and soil moisture – is important for understanding and predicting wildfire risk, flood activity, and agricultural and rangeland productivity, among others. Existing tools for modeling hydrologic conditions rely on information on temperature and precipitation. This project sought to evaluate different methods for downscaling global climate models – that is, taking information produced at a global scale and making it useable at a regional scale, in order to produce more accurate projections of temperature and precipitation for the Pacific...
A warming climate, fire exclusion, and land cover changes are altering the conditions that produced historical fire regimes and facilitating increased recent wildfire activity in the northwestern United States. Understanding the impacts of changing fire regimes on forest recruitment and succession, species distributions, carbon cycling, and ecosystem services is critical, but challenging across broad spatial scales. One important and understudied aspect of fire regimes is the unburned area within fire perimeters; these areas can function as fire refugia across the landscape during and after wildfire by providing habitat and seed sources. With increasing fire activity, there is speculation that fire intensity and...
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The Integrated Scenarios of the Future Northwest Environment project (an FY2012 NW CSC funded project), resulted in several datasets describing projected changes in climate, hydrology and vegetation for the 21st century over the Northwestern US. The raw data is available in netCDF format, which is a standard data file format for weather forecasting/climate change/GIS applications. However, the sheer size of these datasets and the specific file format (netCDF) for data access pose significant barriers to data access for many users. This is a particular challenge for many natural/cultural resource managers and others working on conservation efforts in the Pacific Northwest. The goal of this project was to increase...
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NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
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This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
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This data series contains 540 temporal datasets. Wildfire adheres to meteorological enablers and drivers across a spectrum of timescales. However, a majority of downscaling methods are ill suited for wildfire application due the lack of daily timescales and variables such as humidity and winds that are important for fuel flammability and fire spread. Two statistical downscaling methods, the daily Bias-Corrected Spatial Downscaling (BCSD) and the Multivariate Adapted Constructed Analogs (MACA), that directly incorporate daily data were validated over the Western United States with reanalysis data. While both methods outperformed the null interpolation only method, MACA exhibited additional skill in temperature, humidity,...
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Wildfires are one of the greatest threats to human infrastructure and the ecosystem services humans value in the western US, but are also necessary in fire-adapted ecosystems. Wildfire activity is widely projected to increase in response to climate change in the Northwest, but we currently lack a comprehensive understanding of what this increase will look like or what its impacts will be on a variety of ecological and hydrologic systems. This project addressed one critical part of those impacts: the islands of unburned vegetation within wildfires. Unburned islands occur naturally as wildfires burn across landscapes, and are important habitat refuges for species -- places where plants and animals survive the fire...
Abstract (from AGU100): In complex terrain, drifting snow contributes to ecohydrologic landscape heterogeneity and ecological refugia. In this study, we assessed the climate sensitivity of hydrological dynamics in a semiarid mountainous catchment in the snow‐to‐rain transition zone. This catchment includes a distinct snow drift‐subsidized refugium that comprises a small portion (14.5%) of the watershed but accounts for a disproportionate amount (modeled average 56%) of hydrological flux generation. We conducted climate sensitivity experiments using a physically based hydrologic model to assess responses of a suite of hydrologic metrics across the watershed. Experiments with an imposed 3.5 °C warming showed reductions...
This recorded presentation is from the April 17, 2014 workshop for the "Integrated Scenarios of the Future Northwest Environment" project. The recording is available on YouTube. The Integrated Scenarios project is an effort to understand and predict the effects of climate change on the Northwest's climate, hydrology, and vegetation. The project was funded by the Northwest Climate Science Center and the Climate Impacts Research Consortium.
Abstract (from http://www.publish.csiro.au/paper/WF15082.htm): The Monitoring Trends in Burn Severity project is a comprehensive fire atlas for the United States that includes perimeters and severity data for all fires greater than a particular size (~400 ha in the western US, and ~200 ha in the eastern US). Although the database was derived for management purposes, the scientific community has expressed interest in its research capacity. As with any derived data, it is critical to understand inherent limitations to maximise the utility of the dataset without compromising the inferences. The classified severity product in particular is of limited use to research due to a lack of both consistency in developing class...
This project is an effort to understand the projections of climate change on the Northwest's climate,hydrology and vegetation.
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This data series contains 330 datasets. Landscape-scale ecological modeling has been hindered by suitable high-resolution surface meteorological datasets that include temperature, precipitation, downward shortwave radiation, humidity and winds. To overcome these limitations, desirable spatial attributes of gridded climate data from PRISM are combined with desirable temporal attributes of regional-scale reanalysis and daily gauge-based precipitation from NLDAS-2 to derive a spatially and temporally complete, high-resolution (4-km) gridded dataset of surface meteorological variables required in ecological modeling for the contiguous United States from 1979-2010. Validation of the resulting gridded surface meteorological...
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This archive contains daily downscaled meteorological and hydrological projections for the Columbia Basin in the United States at 1/16-deg resolution utilizing 9 different downscaling methods. The downscaled meteorological variables are maximum/minimum temperature(tasmax/tasmin), precipitation amount(pr), downward shortwave solar radiation(rsds), wind speed(was), and specific humidity(huss). The downscaling is based on the CCSM3e model from Phase 3 of the Coupled Model Inter-comparison Project (CMIP3) utlizing the historical 20C3M (1971-1999) and future SRESA2(2041-2070) scenarios. The downscaling methods include 3 statistical downscaling methods: Multivariate Adaptive Constructed Analogs (MACA) and monthly(and...
The Integrated Scenarios (IS) of the Future Northwest Environment project resulted in several datasets describing projected changes in climate, hydrology and vegetation for the 21st century over the Northwestern US. At the conclusion of the IS project in August 2014, it was recognized that many data users would be challenged to use the IS data due to 1) the sheer size of these datasets (~ 20 Terabytes of data), 2) the specific file format (netCDF) of the IS data, and 3) the unfamiliarity of appropriate methods for analyzing climate scenarios. To address these issues, the Integrated Scenarios Tools project was funded with the aim of creating a website for the IS project focusing on providing: 1) information on and...
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In the Pacific Northwest, temperatures are projected to increase 2-15°F by 2100. Winters are expected to become wetter and summers could become drier. Snowpack will likely decrease substantially, and snowmelt runoff may occur earlier in the year. Wildfires are projected to become more frequent and severe, and forest types are expected to change from maritime evergreen to subtropical mixed-woodlands. Because the impacts of climate change vary from place to place, regionally-specific climate projections are critical to help farmers, foresters, city planners, public utility providers, and fish and wildlife managers plan for how to best manage resources. However, the models that are used to project changes in climate...
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NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...


    map background search result map search result map Projecting Future Climate, Vegetation, and Hydrology in the Pacific Northwest Improving Projections of Hydrology in the Pacific Northwest Gridded Meteorological Datasets for the Contiguous United States Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios [Multivariate Adaptive Constructed Analog (MACA) Method] Disappearing Refugia: Identifying Trends and Resilience in Unburned Islands under Climate Change Columbia River Basin Daily MACA-VIC Results Integrated Scenarios Tools: Improving the Accessibility of the Integrated Scenarios Data Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Columbia River Basin Daily MACA-VIC Results Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Integrated Scenarios Tools: Improving the Accessibility of the Integrated Scenarios Data Disappearing Refugia: Identifying Trends and Resilience in Unburned Islands under Climate Change Columbia River Basin Daily MACA-VIC Results Columbia River Basin Daily MACA-VIC Results Improving Projections of Hydrology in the Pacific Northwest Downscaled Climate Model Output for the Western United States from IPCC AR4 Scenarios [Multivariate Adaptive Constructed Analog (MACA) Method] Projecting Future Climate, Vegetation, and Hydrology in the Pacific Northwest Gridded Meteorological Datasets for the Contiguous United States Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA Multivariate Adaptive Constructed Analogs (MACA) CMIP5 Statistically Downscaled Data for Coterminous USA