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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset consists of a workspace (folder) containing four gridded datasets and a personal geodatabase. The gridded datasets are a grid of mean annual precipitation, a grid of forest land cover, and region grids used in the Idaho StreamStats application. One region grid is for peak flow estimates, the other is for low flows, mean annual flows, and monthly flow statistics. The personal geodatabase contains a polygon feature class...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The water-budget components geodatabase contains selected data from maps in the, "Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 through 1949 and 2000 through 2009" report (Stanton and others, 2011).Data were collected and synthesized from existing climate models including the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow accumulation and...
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The absolute difference between mean modeled snow-water-equivalent on March 28 for the reference period and mean modeled snow-water-equivalent on February 20 for the T4P10 climate change scenario, which are the dates of peak basin-integrated SWE for each period, respectively.Reference period: the period 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T4P10 scenario: the observed historical (reference period) meteorology is perturbed by adding +4°C to each daily temperature record, and +10% precipitation to each daily precipitation record in the reference period meteorology, and this data is then used as input to the model.
This downloadable PDF research feature summarizes the Pacific Islands Climate Science Center-supported project "Climate Change Research in Support of Hawaiian Ecosystem Management: An Integrated Approach". The key goals of this project were 1) to understand how changes in the Earth’s future climate system will affect the frequency and severity of extreme weather events in Hawai`i, 2) to support studies of the ecological impacts of climate change on native Hawaiian plants and animals and 3) to provide information needed by natural resource managers charged with preserving native biodiversity.
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Mean modeled snow-water-equivalent (meters) on March 13, the date of peak basin-integrated mean modeled snow-water-equivalent (meters) for the T2 climate change scenario. Reference period: the period 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2oC to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
Abstract (From http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-15-0062.1): Over mountainous terrain, ground weather radars face limitations in monitoring surface precipitation as they are affected by radar beam blockages along with the range-dependent biases due to beam broadening and increase in altitude with range. These issues are compounded by precipitation structures that are relatively shallow and experience growth at low levels due to orographic enhancement. To improve surface precipitation estimation, researchers at the University of Oklahoma have demonstrated the benefits of integrating the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) products into the ground-based NEXRAD rainfall...
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The percentage difference between mean modeled snow-water-equivalent (meters) on April 1 for the reference (1989-2011) climate period and mean modeled snow-water-equivalent on April 1 for the T2 climate change scenario. Reference period: the period 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T2 scenario: the observed historical (reference period) meteorology is perturbed by adding +2°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.
This project gallery includes all project reports and associated assessment materials, including interactive and downloadable connectivity and climate datasets for the project " Creating Practitioner-driven, Science-based Plans for Connectivity Conservation in a Changing Climate: A Collaborative Assessment of Climate-Connectivity Needs in the Washington-British Columbia Transboundary Region".
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Variable Infiltration Capacity model results for several hydroclimatological variables for the Arkansas and Canadian River Basin of Oklahoma. Inputs to models were Daymet climate observations as well as the CCSM4, MIROC5, and MPI ESM LR Global Climate Models using Representative Concentration Pathways 2.6, 4.5 and 8.5.
Forests strongly influence snow processes and affect the amount and duration of snow storage on a landscape. Therefore, forest changes, from management activities or natural disturbances, have important consequences for spring and summer soil moisture availability, aquatic habitat, and water supply. Accounting for these effects of forest change on watersheds will become even more important under warming climate conditions, which will reduce the amount and duration of snow storage. In this webinar, Susan E. Dickerson-Lange presents on Northwest Climate Science Center supported research that led to the creation of a conceptual model that paired relevant spatial datasets for considering the combined impacts of forest...
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This tabular data set represents estimated monthly minimum temperature (in degrees Fahrenheit) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou & Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.
Climate change models envision an increase in summer precipitation in eastern California and adjacent arid regions by 2050, due to anthropogenic activities. Changes in the frequency, intensity and spatial patterns of rainfall pulses are likely to influence seedling recruitment and establishment, and ultimately community composition and dynamics. The effects of altered water availability might be complicated by the effect of adult plants on resources and conditions, potentially altering seedling recruitment success and affecting community succession. We tested the hypotheses that: (1) an experimental pulse representing a 25% increase in summer precipitation would increase photosynthesis for Artemisia tridentata and...
Differences in resource availability and quality along environmental gradients are important influences contributing to intraspecific variation in body size, which influences numerous life-history traits. Here, we examined variation in body size and sexual size dimorphism (SSD) in relation to temperature, seasonality, and precipitation among 10 populations located throughout Arizona of the western diamond-backed rattlesnake (Crotalus atrox). Specifically, in our analyses we addressed the following questions: (i) Are adult males larger in cooler, wetter areas? (ii) Does female body size respond differently to environmental variation? (iii) Is seasonality a better predictor of body size variation? (iv) Is SSD positively...
Concern over the greenhouse effect has led to increased interest in the regional implications of changes in temperature and precipitation patterns for water resources. The impact of greenhouse gases on water availability and quality is likely to be significant, though still poorly understood. Both the development of scenarios involving temperature and precipitation variation and the use of hydrologic simulation models allows researchers to study the impact of these changes on runoff and water supply.
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
This website provides access to active links for data collected at the Santa Rita Experimental Range. Included in the links are access to shapefiles, excel files, raster and other forms of data on precipitation, vegetation, animals and other subjects.
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Project involves analyzing datasets using two measures: Spatial similarity of the distributed precipitation and temperature fields of the study datasets Implications on hydrologic modeling We will then provide guidance on the choice of datasets for statistical downscaling of GCM outputs used in different types of scale-dependent planning assessments. We will evaluate these differences from a hydrological standpoint at specific Reclamation basins: Animas at Durango, Colorado; Snake at Heise, Idaho; Sacramento at Redding, California; Salt at Chrysotile, Arizona; Yellowstone River at Billings, Montana; and Colorado River at Lees Ferry Utah and Arizona. The analysis will indicate whether the choice of forcing a...
The feasibility of reconstructing total spring precipitation for the South Platte River basin from tree-ring chronologies using artificial neural networks is explored. The use of artificial neural networks allows a comparison of reconstructions resulting from both linear and nonlinear models. Both types of models produced reconstructions that explained more than 40% of the variation in spring precipitation and were well verified with independent data. Although the nonlinear models produced higher R2 values than did the linear model for the calibration period, they performed less well in the independent period. This result and other model evaluation statistics suggest that, in this study, the nonlinear models contain...
map background search result map search result map Understanding How Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projections Downscaling - BOR Project, FY2011 Modeled snow-water-equivalent, percent difference between historical and projected April 1 values under T2 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Modeled snow-water-equivalent, absolute difference in historical and projected seasonal peak values under T4P10 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Modeled snow-water-equivalent, projected seasonal peak values under T2 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Max Temperature (Maximum: July) - 2020-2050 - RCP4.5 - Mean Temperature (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Statewide Datasets for Idaho StreamStats DS-777 Average Annual Precipitation Data, 2000 to 2009, in inches estimated from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming Variable Infiltration Capacity Model Results for the Canadian River Basin of Oklahoma from 1983 – 2099 Multivariate Adaptive Constructed Analogs (MACA) Catchment Minimum Temperature data, 2006-2099 Modeled snow-water-equivalent, percent difference between historical and projected April 1 values under T2 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Modeled snow-water-equivalent, absolute difference in historical and projected seasonal peak values under T4P10 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Modeled snow-water-equivalent, projected seasonal peak values under T2 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Understanding How Different Versions of Distributed Historical Weather Data Affect Hydrologic Model Calibration and Climate Projections Downscaling - BOR Project, FY2011 Variable Infiltration Capacity Model Results for the Canadian River Basin of Oklahoma from 1983 – 2099 DS-777 Average Annual Precipitation Data, 2000 to 2009, in inches estimated from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming Statewide Datasets for Idaho StreamStats Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Max Temperature (Maximum: July) - 2020-2050 - RCP4.5 - Mean Temperature (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Multivariate Adaptive Constructed Analogs (MACA) Catchment Minimum Temperature data, 2006-2099