by A. L. Westerling, H. G. Hidalgo, D. R. Cayan, and T. W. Swetnam

Slides:



Advertisements
Similar presentations
Weighing the Added Risk of Climate Change to Population Persistence in Native Trout Jack Williams Amy Haak Helen Neville Warren Colyer.
Advertisements

How would we know if Colorado’s climate is changing and how will it effect me? 1. How do we prove if climate change is occurring in Colorado? 2. Why should.
Scaling Laws, Scale Invariance, and Climate Prediction
Examination of Spatial Patterns in Fire Data for the western Great Basin John Nangle Applied Mathematics Picture:
PRELIMINARY RESULTS – DO NOT CITE Ecosystem Controls on the Relationship between Climate Variability and 20th Century Fire in the American West Jeremy.
Impacts of Climate Change on Physical Systems PPT
Effects of Wildfires on Landscape Evolution in Southern California Julia Rogers GE154 6 May 2015.
California burns. Santa Ana Winds Conditions for Santa Ana Winds High pressure over Great Basin region –Why its clear and warm here in Boulder Warm.
Washington State Climate Change Impacts Assessment: Implications of 21 st century climate change for the hydrology of Washington Marketa M Elsner 1 with.
How would we know if Colorado’s climate is changing and how will it effect me? 1. How do we prove if climate change is occurring in Colorado? 2. Why should.
The Grassland Biome A Sarah Feinman Presentation.
U.S. Department of the Interior U.S. Geological Survey Sue Haseltine Associate Director for Biology U.S. Geological Survey David Schad Chair, Association.
Economic Cooperation Organization Training Course on “Drought and Desertification” Alanya Facilities, Antalya, TURKEY presented by Ertan TURGU from Turkish.
Implications of Climate Change for Drought and Wildfire Dr. Faith Ann Heinsch Numerical Terradynamic Simulation Group University of Montana Wildland Fire.
Recent hydrological and climatological changes V. Barros.
Analysis of Forest Fire Disturbance in the Western US Using Landsat Time Series Images: Haley Wicklein Advisors: Jim Collatz and Jeff Masek,
Meeting of the CCl/OPACE2 Task Team on National Climate Monitoring Products How might NCMPs contribute in future IPCC reports ? Fatima Driouech TT on national.
Westerling et al, 2006 Science. Late Snowmelt YearsEarly Snowmelt Years , NPS, USFS & BIA Fires over 1000 acres.
SCALES IN PHYSICAL GEOGRAPHY
Adjustment of Global Gridded Precipitation for Orographic Effects Jennifer Adam.
Fine-Resolution, Regional-Scale Terrestrial Hydrologic Fluxes Simulated with the Integrated Landscape Hydrology Model (ILHM) David W Hyndman Anthony D.
Streamflow Response to Climate: Why Geology Matters –Tim Mayer, US Fish and Wildlife Service Presented at the Oregon Water Conference Corvallis, OR May.
Understory Growth Dynamics following High Severity Burn in a Mixed-Conifer Forest Daniel Wilcox, Space Grant Intern Dr. Shirley A. Papuga, Faculty Advisor.
How much water will be available in the upper Colorado River Basin under projected climatic changes? Abstract The upper Colorado River Basin (UCRB), is.
Indo-Pacific Sea Surface Temperature Influences on Failed Consecutive Rainy Seasons over Eastern Africa** Andy Hoell 1 and Chris Funk 1,2 Contact:
Bailey Wright.  Tornadoes are formed when the vertical wind shear, vertical vorticity, and stream line vorticity conditions are favorable. ◦ Storms and.
UBC/UW 2011 Hydrology and Water Resources Symposium Friday, September 30, 2011 DIAGNOSIS OF CHANGING COOL SEASON PRECIPITATION STATISTICS IN THE WESTERN.
If so, how can we prove it? Why should we care? Is Colorado’s Climate Changing?
Ag Talk 30 Jan What the Weather Will Bring or Agricultural Weather in Wisconsin Wisconsin Agri-Service Association 9 th Annual Trade Show 30 January.
Decadal Variability in the Southern Hemisphere Xiaojun Yuan 1 and Emmi Yonekura 2 1 Lamont-Doherty Earth Observatory Columbia University 2 Department Environment.
Estimating Changes in Flood Risk due to 20th Century Warming and Climate Variability in the Western U.S. Alan F. Hamlet Dennis P. Lettenmaier.
Hydrologic implications of 20th century warming in the western U.S.
Hydrologic Implications of 20th Century Warming in the Western U.S.
Hydrologic Implications of 20th Century Warming in the Western U.S.
Dominant IL-21 expression in TFH cells correlate with B cell pathology in HIV-infected LNs. Dominant IL-21 expression in TFH cells correlate with B cell.
Figure 1. Spatial distribution of pinyon-juniper and ponderosa pine forests is shown for the southwestern United States. Red dots indicate location of.
ATMS790: Graduate Seminar, Yuta Tomii
Trends in Runoff and Soil Moisture in the Western U.S
Modulation of Neuronal Interactions Through Neuronal Synchronization
by Joshua A.E. Fredrickson
by Daniela Vallentin, Georg Kosche, Dina Lipkind, and Michael A. Long
Profiling risk and sustainability in coastal deltas of the world
by Siyuan Wang, Jun-Han Su, Brian J. Beliveau, Bogdan Bintu, Jeffrey R
Atlantic Ocean Forcing of North American and European Summer Climate
by A. Dutton, A. E. Carlson, A. J. Long, G. A. Milne, P. U. Clark, R
Hydrologic Changes in the Western U.S. from
The Antisense Transcriptomes of Human Cells
by Wei-Ping Chan, I-Ching Chen, Robert K
Volume 88, Issue 3, Pages (November 2015)
Volume 88, Issue 3, Pages (November 2015)
by Thomas R. Karl, Anthony Arguez, Boyin Huang, Jay H
Fig. 6 Relation between Q and other impact indicators.
Congratulations! Now Get to Work
by Wenyuan Fan, and Peter M. Shearer
by Rory Van Tuyl, and Asya Pereltsvaig
IIV induces CD21hiCD27+ and CD21loCD27+ influenza-specific B cells
by M. A. Srokosz, and H. L. Bryden
Peering through Jupiter’s clouds with radio spectral imaging
Label frequency and average enrichment of taxa.
by S. van Velzen, G. E. Anderson, N. C. Stone, M. Fraser, T. Wevers, B
mRNA adenosine-to-inosine editing increases under DR.
Fig. 1 Shift in the snow-monsoon relationship.
Fig. 5 Stability of the Q parameter.
by Hiro Nimiya, Tatsunori Ikeda, and Takeshi Tsuji
Relative impacts of mitigation, temperature, and precipitation on 21st-century megadrought risk in the American Southwest by Toby R. Ault, Justin S. Mankin,
Fig. 3 Large-scale patterns controlling the low-level jet from the Gulf of Mexico and moisture over the SGP. Large-scale patterns controlling the low-level.
Fig. 1 Fractional coverage of the mapping method used in this study.
Volume 26, Issue 11, Pages e3 (March 2019)
Fig. 5 Density plots showing the relationship between growth responses to extreme events and site-level mean precipitation from all sites (N = 1314). Density.
Correlation between journal impact factor and percentage of papers with image duplication. Correlation between journal impact factor and percentage of.
Presentation transcript:

by A. L. Westerling, H. G. Hidalgo, D. R. Cayan, and T. W. Swetnam Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity by A. L. Westerling, H. G. Hidalgo, D. R. Cayan, and T. W. Swetnam Science Volume 313(5789):940-943 August 18, 2006 Published by AAAS

Fig. 1. (A) Annual frequency of large (>400 ha) western U. S Fig. 1. (A) Annual frequency of large (>400 ha) western U.S. forest wildfires (bars) and mean March through August temperature for the western United States (line) (26, 30). (A) Annual frequency of large (>400 ha) western U.S. forest wildfires (bars) and mean March through August temperature for the western United States (line) (26, 30). Spearman's rank correlation between the two series is 0.76 (P < 0.001). Wilcoxon test for change in mean large–forest fire frequency after 1987 was significant (W = 42; P < 0.001). (B) First principle component of center timing of stream-flow in snowmelt dominated streams (line). Low (pink shading), middle (no shading), and high (light blue shading) tercile values indicate early, mid-, and late timing of spring snowmelt, respectively. (C) Annual time between first and last large-fire ignition, and last large-fire control. A. L. Westerling et al. Science 2006;313:940-943 Published by AAAS

Fig. 2. (A) Pearson's rank correlation between annual western U. S Fig. 2. (A) Pearson's rank correlation between annual western U.S. large (>400 ha) forest wildfire frequency and streamflow center timing. x axis, longitude; y axis, latitude. (A) Pearson's rank correlation between annual western U.S. large (>400 ha) forest wildfire frequency and streamflow center timing. x axis, longitude; y axis, latitude. (B) Average frequency of western U.S. forest wildfire by elevation and early, mid-, and late snowmelt years from 1970 to 2002. See Fig. 1B for a definition of early, mid-, and late snowmelt years. A. L. Westerling et al. Science 2006;313:940-943 Published by AAAS

Fig. 3. Average difference between early and late snowmelt years in average precipitation from October through May (A) and average temperature from March through August (B). Average difference between early and late snowmelt years in average precipitation from October through May (A) and average temperature from March through August (B). Contours enclose regions in which a t test for the difference in mean between 11 early and 11 late years was significant (P < 0.05). The null hypothesis that precipitation from October through May is normally distributed could not be rejected using the Shapiro-Wilk test for normality (P > 0.05 for more than 95% of 24,170 grid cells, n = 49 for precipitation; P > 0.05 for more than 95% of 24,170 grid cells, n = 50 for temperature). See Fig. 1B for a definition of early, mid-, and late snowmelt years. A. L. Westerling et al. Science 2006;313:940-943 Published by AAAS

Fig. 4. Index of forest vulnerability to changes in the timing of spring: the percentage difference in cumulative moisture deficit from October to August at each grid point in early versus late snowmelt years, scaled by the forest-type vegetation fraction at each grid point, for 1970 to 1999 (26). Index of forest vulnerability to changes in the timing of spring: the percentage difference in cumulative moisture deficit from October to August at each grid point in early versus late snowmelt years, scaled by the forest-type vegetation fraction at each grid point, for 1970 to 1999 (26). See fig. S3 for a map of forest vulnerability for 1970 to 2003 over a smaller spatial domain. See Fig. 1B for a definition of early, mid-, and late snowmelt years. A. L. Westerling et al. Science 2006;313:940-943 Published by AAAS