@proceedings {JRN55420,
	title = {WRF-Chem simulation of a Southwest United States dust-on-snow episode },
	year = {2022},
	month = {12- 9 to14- 2022},
	address = {Chicago, IL},
	abstract = {Every year in spring (March-May) a large amount of dust is mobilized across the southwest United States and transported to the mountains that make up the Upper Colorado River Basin. The dust degrades air quality and influences snow hydrology when deposited on mountain snowpack. During 8-17 April 2013, three strong dust events transported a large amount of dust from the southwest drylands to the San Juan Mountains in Colorado where it subsequently accelerated snow melt and runoff. Despite the relevance of these repeated southwest dryland to mountain dust-on-snow episodes to regional hydrology, simulating dust emission and transport to the mountain snowpack accurately remains a challenge. Accurate prediction of dust-on-snow episodes at the scales that impact snowmelt rates would support water resource management in the southwest where communities and agriculture face critical water shortages, compounded by a regional megadrought. In this study, we analyzed the 15-17 April 2013 dust-on-snow event. The objectives of our analysis were to examine: 1) the meteorological setup that organized the dust episode; and 2) the capability of the Weather Research and Forecasting model with Chemistry (WRF-Chem) to simulate the dust episode. To simulate dust emission, we incorporate a satellite albedo-based drag partition parameterization into the Air Force Weather Agency (AFWA) dust emission module to improve the representation of wind stress on the erodible surface. We used reanalysis datasets, satellite and surface observations, upper-air observations, and high-resolution WRF-Chem simulations with horizontal resolutions of 18 km down to 2 km. Our analysis revealed that the coupled effect of strong upper-level divergence accompanying anti-cyclonic Rossby wave breaking and a strong low-level pressure gradient set up between the Colorado Plateau and its upwind region favored strong low-level southwesterly winds capable of emitting dust from the source region. Additionally, our simulation suggests that WRF-Chem dust transport simulation with the albedo-based drag partition in the AFWA dust emission module may be a viable tool for resolving dynamic processes and simulating dust-on-snow episodes in the southwest US. },
	keywords = {dust emission, dust-on-snow, episode, simulation, snowpack, Southwest United States, Upper Colorado River Basin, WRF-Chem},
	author = {Saroj Dhital and Nicholas Webb and Michael L. Kaplan and Travis W. Nauman and Danielle Duni and Susan LeGrand and Theodore W. Letcher and S. McKenzie Skiles and Patrick Naple and Nathaniel W. Chaney and Jiaxuan Cai}
}
@conference {50307,
	title = {Linking ground observations, simulation model output, and remote sensing data to characterize phenology across diverse arid landscapes},
	booktitle = {American Society of Photogrammetry and Remote Sensing Meetings},
	series = {Southwest Region},
	year = {2007},
	month = {October 5, 2007},
	abstract = {We combined long-term data on plant phenology with simulation modeling output and remote sensing data to characterize diverse landscapes at the Jornada Experimental Range in the northern Chihuahuan Desert of southern New Mexico. Phenology of 15 key species in Chihuahuan Desert plant communities have been monitored monthly for 15 sites since 1992. Phenological state (non-reproductive, in bud, in flower, dormant) is noted for all plants of selected grass and shrub species at three replicate sites of five major plant communities (upland grasslands, playa grasslands, creosotebush shrublands, mesquite shrublands, tarbush shrublands). We combined these long-term data with simulation model results of key species to extrapolate back in time and to forecast future dynamics under a changing climate. We used a daily timestep model of soil water dynamics (SOILWAT) to simulate recruitment of the dominant grass for the entire Jornada Basin. We also compared the long-term data with remotely sensed images through time for one year from the ASTER satellite. The ability of the ASTER images to sense phonological changes varied by community type. Linking different technologies has great potential for improving understanding and prediction for arid landscapes that vary both temporally and spatially.},
	keywords = {Chihuahuan Desert, phenology, remote sensing, simulation},
	author = {John P. Anderson and Debra C. Peters and A. Rango and Caitriana Steele}
}
@conference {50541,
	title = {Modeling aeolian processes in the context of desertification},
	booktitle = {20th Annual Symposium of the U.S. Regional Chapter of the International Association for Landscape Ecology},
	year = {2005},
	note = {poster presentation},
	month = {03/2005},
	pages = {61},
	address = {Syracuse, NY},
	abstract = {<p>Conversions from grasslands to shrublands have occurred throughout arid and semiarid regions globally over the past several centuries. Although a number of factors have been implicated as drivers of this conversion (e.g., grazing by livestock, drought, climate change), the key drivers responsible for vegetation change in any particular location are controversial. This controversy is due in large part to the large spatial variation in shrub invasion success through time. At the Jornada Experimental Range in southern New Mexico, we are taking a multi-scale approach to understanding and forecasting landscape scale dynamics associated with these desertification processes. As part of our approach, we are developing a spatially interactive model that simulates interactions and feedbacks between the vegetation, soil properties, and aeolian transport to explain and forecast vegetation dynamics at multiple spatial scales.\&nbsp; Dynamic vegetation patches vary in size and composition that affect fetch and hence erosion and deposition of soil particles by wind. Wind speed data is given using a Weibull distribution derived from empirical data. Preliminary results show that aeolian transport is a key driver of conversions from grasslands to shrublands that depends on spatial characteristics of soil texture and vegetation.</p>
},
	keywords = {aeolian, conversions, desertification, modeling, multi-scale, shrublands, simulation},
	author = {J.D. Daues and Debra C. Peters and Daues, G.}
}
@article {50565,
	title = {Simulation of Vegetation Recovery from Military Disturbances on Fort Bliss},
	number = {ERDC/CERL TR-05-39},
	year = {2005},
	month = {November 2005},
	pages = {79},
	publisher = {U.S. Corps of Engineers},
	address = {Washington, DC},
	abstract = {<p>This work covers two years of research by the USDA ARS, Jornada Experimental Range and the US Army ERCD/CERL. The overall goal of the project was to enhance the vegetation simulation modeling capabilities of Fort Bliss, Texas for evaluating the effects of military disturbances on aridland vegetation. The aim of this work was to mechanistically predict shifts from one community type to another by determining primary linkages between community types.</p>
},
	keywords = {Fort Bliss, military, recovery, simulation},
	url = {/files/bibliography/06-016.pdf},
	author = {Hochstrasser, T. and Debra C. Peters and J.S. Fehmi},
	editor = {U.S. Corps of Engineers, Engineer Research and  Development Center/Construction Engineering Research Laboratory}
}
