This page has only limited features, please log in for full access.

Unclaimed
Daniel J. McEvoy
Desert Research Institute, Reno, NV 89512, USA

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 17 January 2021 in Land
Reads 0
Downloads 0

The late-season extreme fire activity in Southcentral Alaska during 2019 was highly unusual and consequential. Firefighting operations had to be extended by a month in 2019 due to the extreme conditions of hot summer temperature and prolonged drought. The ongoing fires created poor air quality in the region containing most of Alaska’s population, leading to substantial impacts to public health. Suppression costs totaled over $70 million for Southcentral Alaska. This study’s main goals are to place the 2019 season into historical context, provide an attribution analysis, and assess future changes in wildfire risk in the region. The primary tools are meteorological observations and climate model simulations from the NCAR CESM Large Ensemble (LENS). The 2019 fire season in Southcentral Alaska included the hottest and driest June–August season over the 1979–2019 period. The LENS simulation analysis suggests that the anthropogenic signal of increased fire risk had not yet emerged in 2019 because of the CESM’s internal variability, but that the anthropogenic signal will emerge by the 2040–80 period. The effect of warming temperatures dominates the effect of enhanced precipitation in the trend towards increased fire risk.

ACS Style

Uma S. Bhatt; Rick T. Lader; John E. Walsh; Peter A. Bieniek; Richard Thoman; Matthew Berman; Cecilia Borries-Strigle; Kristi Bulock; Jonathan Chriest; Micah Hahn; Amy S. Hendricks; Randi Jandt; Joseph Little; Daniel McEvoy; Chris Moore; T. Scott Rupp; Jennifer Schmidt; Eric Stevens; Heidi Strader; Christine Waigl; James White; Alison York; Robert Ziel. Emerging Anthropogenic Influences on the Southcentral Alaska Temperature and Precipitation Extremes and Related Fires in 2019. Land 2021, 10, 82 .

AMA Style

Uma S. Bhatt, Rick T. Lader, John E. Walsh, Peter A. Bieniek, Richard Thoman, Matthew Berman, Cecilia Borries-Strigle, Kristi Bulock, Jonathan Chriest, Micah Hahn, Amy S. Hendricks, Randi Jandt, Joseph Little, Daniel McEvoy, Chris Moore, T. Scott Rupp, Jennifer Schmidt, Eric Stevens, Heidi Strader, Christine Waigl, James White, Alison York, Robert Ziel. Emerging Anthropogenic Influences on the Southcentral Alaska Temperature and Precipitation Extremes and Related Fires in 2019. Land. 2021; 10 (1):82.

Chicago/Turabian Style

Uma S. Bhatt; Rick T. Lader; John E. Walsh; Peter A. Bieniek; Richard Thoman; Matthew Berman; Cecilia Borries-Strigle; Kristi Bulock; Jonathan Chriest; Micah Hahn; Amy S. Hendricks; Randi Jandt; Joseph Little; Daniel McEvoy; Chris Moore; T. Scott Rupp; Jennifer Schmidt; Eric Stevens; Heidi Strader; Christine Waigl; James White; Alison York; Robert Ziel. 2021. "Emerging Anthropogenic Influences on the Southcentral Alaska Temperature and Precipitation Extremes and Related Fires in 2019." Land 10, no. 1: 82.

Journal article
Published: 15 November 2020 in Earth's Future
Reads 0
Downloads 0
ACS Style

Daniel J. McEvoy; David W. Pierce; Julie F. Kalansky; Daniel R. Cayan; John T. Abatzoglou. Projected Changes in Reference Evapotranspiration in California and Nevada: Implications for Drought and Wildland Fire Danger. Earth's Future 2020, 8, 1 .

AMA Style

Daniel J. McEvoy, David W. Pierce, Julie F. Kalansky, Daniel R. Cayan, John T. Abatzoglou. Projected Changes in Reference Evapotranspiration in California and Nevada: Implications for Drought and Wildland Fire Danger. Earth's Future. 2020; 8 (11):1.

Chicago/Turabian Style

Daniel J. McEvoy; David W. Pierce; Julie F. Kalansky; Daniel R. Cayan; John T. Abatzoglou. 2020. "Projected Changes in Reference Evapotranspiration in California and Nevada: Implications for Drought and Wildland Fire Danger." Earth's Future 8, no. 11: 1.

Journal article
Published: 25 April 2020 in Remote Sensing
Reads 0
Downloads 0

Dryland riparian areas are under increasing stress due to expanding human water demands and a warming climate. Quantifying responses of dryland riparian vegetation to these pressures is complicated by high climatic variability, which can create strong, transient changes in vegetation vigor that could mask other disturbance events. In this study, we utilize a 34-year archive of Landsat satellite data to (1) quantify the strength and timescales of vegetation responses to interannual variability in drought status and (2) isolate and remove this influence to assess resultant trends in vegetation vigor for riparian areas across the state of Nevada, the driest state in the USA. Correlations between annual late-summer Normalized Difference Vegetation Index (NDVI) and the Standardized Precipitation–Evapotranspiration Index (SPEI) were calculated across a range of time periods (varying timing and durations) for all riparian pixels within each of the 45 ecoregions, and the variability of these values across the study area is shown. We then applied a novel drought adjustment method that used the strongest SPEI–NDVI timescale relationships for each ecoregion to remove the influence of interannual drought status. Our key result is a 30 m resolution map of drought-adjusted riparian NDVI trends (1985–2018). We highlight and describe locations where impacts of invasive species biocontrol, mine water management, agriculture, changing water levels, and fire are readily visualized with our results. We found more negatively trending riparian areas in association with wide valley bottoms, low-intensity agricultural land uses, and private land ownerships and more positive trends in association with narrow drainages, public lands, and surrounding perennial water bodies (an indication of declining water levels allowing increased vegetative cover). The drought-adjusted NDVI improved the statistical significance of trend estimates, thereby improving the ability to detect such changes. Results from this study provide insight into the strength and timescales of riparian vegetation responses to drought and can provide important information for managing riparian areas within the study area. The novel approach to drought adjustment is readily transferrable to other regions.

ACS Style

Christine M. Albano; Kenneth C. McGwire; Mark B. Hausner; Daniel J. McEvoy; Charles G. Morton; Justin L. Huntington. Drought Sensitivity and Trends of Riparian Vegetation Vigor in Nevada, USA (1985–2018). Remote Sensing 2020, 12, 1362 .

AMA Style

Christine M. Albano, Kenneth C. McGwire, Mark B. Hausner, Daniel J. McEvoy, Charles G. Morton, Justin L. Huntington. Drought Sensitivity and Trends of Riparian Vegetation Vigor in Nevada, USA (1985–2018). Remote Sensing. 2020; 12 (9):1362.

Chicago/Turabian Style

Christine M. Albano; Kenneth C. McGwire; Mark B. Hausner; Daniel J. McEvoy; Charles G. Morton; Justin L. Huntington. 2020. "Drought Sensitivity and Trends of Riparian Vegetation Vigor in Nevada, USA (1985–2018)." Remote Sensing 12, no. 9: 1362.

Journal article
Published: 01 November 2017 in Bulletin of the American Meteorological Society
Reads 0
Downloads 0

The paucity of long-term observations, particularly in regions with heterogeneous climate and land cover, can hinder incorporating climate data at appropriate spatial scales for decision-making and scientific research. Numerous gridded climate, weather, and remote sensing products have been developed to address the needs of both land managers and scientists, in turn enhancing scientific knowledge and strengthening early-warning systems. However, these data remain largely inaccessible for a broader segment of users given the computational demands of big data. Climate Engine (http://ClimateEngine.org) is a web-based application that overcomes many computational barriers that users face by employing Google’s parallel cloud-computing platform, Google Earth Engine, to process, visualize, download, and share climate and remote sensing datasets in real time. The software application development and design of Climate Engine is briefly outlined to illustrate the potential for high-performance processing of big data using cloud computing. Second, several examples are presented to highlight a range of climate research and applications related to drought, fire, ecology, and agriculture that can be rapidly generated using Climate Engine. The ability to access climate and remote sensing data archives with on-demand parallel cloud computing has created vast opportunities for advanced natural resource monitoring and process understanding.

ACS Style

Justin L. Huntington; Katherine C. Hegewisch; Britta Daudert; Charles G. Morton; John T. Abatzoglou; Daniel J. McEvoy; Tyler Erickson. Climate Engine: Cloud Computing and Visualization of Climate and Remote Sensing Data for Advanced Natural Resource Monitoring and Process Understanding. Bulletin of the American Meteorological Society 2017, 98, 2397 -2410.

AMA Style

Justin L. Huntington, Katherine C. Hegewisch, Britta Daudert, Charles G. Morton, John T. Abatzoglou, Daniel J. McEvoy, Tyler Erickson. Climate Engine: Cloud Computing and Visualization of Climate and Remote Sensing Data for Advanced Natural Resource Monitoring and Process Understanding. Bulletin of the American Meteorological Society. 2017; 98 (11):2397-2410.

Chicago/Turabian Style

Justin L. Huntington; Katherine C. Hegewisch; Britta Daudert; Charles G. Morton; John T. Abatzoglou; Daniel J. McEvoy; Tyler Erickson. 2017. "Climate Engine: Cloud Computing and Visualization of Climate and Remote Sensing Data for Advanced Natural Resource Monitoring and Process Understanding." Bulletin of the American Meteorological Society 98, no. 11: 2397-2410.

Journal article
Published: 01 November 2017 in Rangeland Ecology & Management
Reads 0
Downloads 0
ACS Style

Kenneth C. McGwire; Mark A. Weltz; Keirith A. Snyder; Justin L. Huntington; Charles G. Morton; Daniel J. McEvoy. Satellite Assessment of Early-Season Forecasts for Vegetation Conditions of Grazing Allotments in Nevada, United States. Rangeland Ecology & Management 2017, 70, 730 -739.

AMA Style

Kenneth C. McGwire, Mark A. Weltz, Keirith A. Snyder, Justin L. Huntington, Charles G. Morton, Daniel J. McEvoy. Satellite Assessment of Early-Season Forecasts for Vegetation Conditions of Grazing Allotments in Nevada, United States. Rangeland Ecology & Management. 2017; 70 (6):730-739.

Chicago/Turabian Style

Kenneth C. McGwire; Mark A. Weltz; Keirith A. Snyder; Justin L. Huntington; Charles G. Morton; Daniel J. McEvoy. 2017. "Satellite Assessment of Early-Season Forecasts for Vegetation Conditions of Grazing Allotments in Nevada, United States." Rangeland Ecology & Management 70, no. 6: 730-739.

Journal article
Published: 01 September 2017 in Bulletin of the American Meteorological Society
Reads 0
Downloads 0
ACS Style

John T. Abatzoglou; Daniel J. McEvoy; Kelly T. Redmond. The West Wide Drought Tracker: Drought Monitoring at Fine Spatial Scales. Bulletin of the American Meteorological Society 2017, 98, 1815 -1820.

AMA Style

John T. Abatzoglou, Daniel J. McEvoy, Kelly T. Redmond. The West Wide Drought Tracker: Drought Monitoring at Fine Spatial Scales. Bulletin of the American Meteorological Society. 2017; 98 (9):1815-1820.

Chicago/Turabian Style

John T. Abatzoglou; Daniel J. McEvoy; Kelly T. Redmond. 2017. "The West Wide Drought Tracker: Drought Monitoring at Fine Spatial Scales." Bulletin of the American Meteorological Society 98, no. 9: 1815-1820.

Journal article
Published: 01 June 2016 in Journal of Hydrometeorology
Reads 0
Downloads 0

Precipitation, soil moisture, and air temperature are the most commonly used climate variables to monitor drought; however, other climatic factors such as solar radiation, wind speed, and humidity can be important drivers in the depletion of soil moisture and evolution and persistence of drought. This work assesses the Evaporative Demand Drought Index (EDDI) at multiple time scales for several hydroclimates as the second part of a two-part study. EDDI and individual evaporative demand components were examined as they relate to the dynamic evolution of flash drought over the central United States, characterization of hydrologic drought over the western United States, and comparison to commonly used drought metrics of the U.S. Drought Monitor (USDM), Standardized Precipitation Index (SPI), Standardized Soil Moisture Index (SSI), and the evaporative stress index (ESI). Two main advantages of EDDI over other drought indices are that it is independent of precipitation (similar to ESI) and it can be decomposed to identify the role individual evaporative drivers have on drought onset and persistence. At short time scales, spatial distributions and time series results illustrate that EDDI often indicates drought onset well in advance of the USDM, SPI, and SSI. Results illustrate the benefits of physically based evaporative demand estimates and demonstrate EDDI’s utility and effectiveness in an easy-to-implement agricultural early warning and long-term hydrologic drought–monitoring tool with potential applications in seasonal forecasting and fire-weather monitoring.

ACS Style

Daniel J. McEvoy; Justin L. Huntington; Mike Hobbins; Andrew Wood; Charles Morton; Martha Anderson; Christopher Hain. The Evaporative Demand Drought Index. Part II: CONUS-Wide Assessment against Common Drought Indicators. Journal of Hydrometeorology 2016, 17, 1763 -1779.

AMA Style

Daniel J. McEvoy, Justin L. Huntington, Mike Hobbins, Andrew Wood, Charles Morton, Martha Anderson, Christopher Hain. The Evaporative Demand Drought Index. Part II: CONUS-Wide Assessment against Common Drought Indicators. Journal of Hydrometeorology. 2016; 17 (6):1763-1779.

Chicago/Turabian Style

Daniel J. McEvoy; Justin L. Huntington; Mike Hobbins; Andrew Wood; Charles Morton; Martha Anderson; Christopher Hain. 2016. "The Evaporative Demand Drought Index. Part II: CONUS-Wide Assessment against Common Drought Indicators." Journal of Hydrometeorology 17, no. 6: 1763-1779.

Article
Published: 14 January 2016 in Geophysical Research Letters
Reads 0
Downloads 0

A novel contiguous United States (CONUS) wide evaluation of reference evapotranspiration (ET0; a formulation of evaporative demand) anomalies is performed using the Climate Forecast System version 2 (CFSv2) reforecast data for 1982–2009. This evaluation was motivated by recent research showing ET0 anomalies can accurately represent drought through exploitation of the complementary relationship between actual evapotranspiration and ET0. Moderate forecast skill of ET0 was found up to leads of 5 months and was consistently better than precipitation skill over most of CONUS. Forecasts of ET0 during drought events revealed high categorical skill for notable warm-season droughts of 1988 and 1999 in the central and northeast CONUS, with precipitation skill being much lower or absent. Increased ET0 skill was found in several climate regions when CFSv2 forecasts were initialized during moderate-to-strong El Niño–Southern Oscillation events. Our findings suggest that ET0 anomaly forecasts can improve and complement existing seasonal drought forecasts.

ACS Style

Daniel J. McEvoy; Justin L. Huntington; John F. Mejia; Mike Hobbins. Improved seasonal drought forecasts using reference evapotranspiration anomalies. Geophysical Research Letters 2016, 43, 377 -385.

AMA Style

Daniel J. McEvoy, Justin L. Huntington, John F. Mejia, Mike Hobbins. Improved seasonal drought forecasts using reference evapotranspiration anomalies. Geophysical Research Letters. 2016; 43 (1):377-385.

Chicago/Turabian Style

Daniel J. McEvoy; Justin L. Huntington; John F. Mejia; Mike Hobbins. 2016. "Improved seasonal drought forecasts using reference evapotranspiration anomalies." Geophysical Research Letters 43, no. 1: 377-385.

Journal article
Published: 01 December 2012 in Earth Interactions
Reads 0
Downloads 0

Nevada and eastern California are home to some of the driest and warmest climates, most mountainous regions, and fastest growing metropolitan areas of the United States. Throughout Nevada and eastern California, snow-dominated watersheds provide most of the water supply for both human and environmental demands. Increasing demands on finite water supplies have resulted in the need to better monitor drought and its associated hydrologic and agricultural impacts. Two multiscalar drought indices, the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI), are evaluated over Nevada and eastern California regions of the Great Basin using standardized streamflow, lake, and reservoir water surface stages to quantify wet and dry periods. Results show that both metrics are significantly correlated to surface water availability, with SPEI showing slightly higher correlations over SPI, suggesting that the inclusion of a simple term for atmospheric demand in SPEI is useful for characterizing hydrologic drought in arid regions. These results also highlight the utility of multiscalar drought indices as a proxy for summer groundwater discharge and baseflow periods.

ACS Style

Daniel J. McEvoy; Justin L. Huntington; John Abatzoglou; Laura M. Edwards. An Evaluation of Multiscalar Drought Indices in Nevada and Eastern California. Earth Interactions 2012, 16, 1 -18.

AMA Style

Daniel J. McEvoy, Justin L. Huntington, John Abatzoglou, Laura M. Edwards. An Evaluation of Multiscalar Drought Indices in Nevada and Eastern California. Earth Interactions. 2012; 16 (18):1-18.

Chicago/Turabian Style

Daniel J. McEvoy; Justin L. Huntington; John Abatzoglou; Laura M. Edwards. 2012. "An Evaluation of Multiscalar Drought Indices in Nevada and Eastern California." Earth Interactions 16, no. 18: 1-18.