Luis A. Méndez-Barroso
Arizona State University
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Publication
Featured researches published by Luis A. Méndez-Barroso.
Journal of Climate | 2007
Enrique R. Vivoni; Hugo A. Gutiérrez-Jurado; Carlos A. Aragon; Luis A. Méndez-Barroso; Alex Rinehart; Robert L. Wyckoff; Julio C. Rodríguez; Christopher J. Watts; John D. Bolten; V. Lakshmi; Thomas J. Jackson
Abstract Relatively little is currently known about the spatiotemporal variability of land surface conditions during the North American monsoon, in particular for regions of complex topography. As a result, the role played by land–atmosphere interactions in generating convective rainfall over steep terrain and sustaining monsoon conditions is still poorly understood. In this study, the variation of hydrometeorological conditions along a large-scale topographic transect in northwestern Mexico is described. The transect field experiment consisted of daily sampling at 30 sites selected to represent variations in elevation and ecosystem distribution. Simultaneous soil and atmospheric variables were measured during a 2-week period in early August 2004. Transect observations were supplemented by a network of continuous sampling sites used to analyze the regional hydrometeorological conditions prior to and during the field experiment. Results reveal the strong control exerted by topography on the spatial and tem...
Water Resources Research | 2014
Luis A. Méndez-Barroso; Enrique R. Vivoni; Agustin Robles-Morua; Giuseppe Mascaro; Enrico A. Yepez; Julio C. Rodríguez; Christopher J. Watts; Jaime Garatuza-Payan; Juan Sáiz-Hernández
Seasonal vegetation changes during the North American monsoon play a major role in modifying water, energy, and momentum fluxes. Nevertheless, most models parameterize plants as a static component or with averaged seasonal variations that ignore interannual differences and their potential impact on evapotranspiration (ET) and its components. Here vegetation parameters derived from remote sensing data were coupled with a hydrologic model at two eddy covariance (EC) sites with observations spanning multiple summers. Sinaloan thornscrub (ST) and Madrean woodland (MW) sites, arranged at intermediate and high elevations along mountain fronts in northwest Mexico, occupy specific niches related to climate conditions and water availability that are poorly understood. We found that simulations with a dynamic representation of vegetation greening tracked well the seasonal evolution of observed ET and soil moisture (SM). A switch in the dominant component of ET from soil evaporation (E) to plant transpiration (T) was observed for each ecosystem depending on the timing and magnitude of vegetation greening that is directly tied to rainfall characteristics. Differences in vegetation greening at the ST and MW sites lead to a dominance of transpiration at ST (T/ET = 57%), but evaporation-dominant conditions at MW (T/ET = 19%). Peak transpiration occurred at 5 and 20 days after the full canopy development in the ST and MW sites, respectively. These results indicate that evapotranspiration timing and partitioning varies considerably in the two studied ecosystems in accordance with different modes of vegetation greening. Intermediate-elevation ecosystems follow an intensive water use strategy with a rapid and robust transpiration response to water availability. In contrast, higher elevation sites have delayed and attenuated transpiration, suggesting an extensive water use strategy persisting beyond the North American monsoon.
International Journal of Applied Earth Observation and Geoinformation | 2018
Luis A. Méndez-Barroso; Jose L. Zarate-Valdez; Agustin Robles-Morua
Abstract Structure from Motion (SfM) represents a good low-cost alternative to generate high resolution topography where LiDAR (Light Detection and Ranging) data is scarce or unaffordable. In this work, we demonstrate the advantages of high resolution elevation models (DEM) obtained using the SfM technique to delineate catchment boundaries and the stream network. The SfM-based DEM was compared with LiDAR data, distributed by the Mexican Government, and a previous high resolution topographic map generated by a RTK-GPS system. Aerial images were collected on a forested ecohydrological monitoring site in northwest Mexico using a commercial grade digital camera attached to a tethered helium balloon. Here we applied the SfM method with the removal of the vegetation, similarly to the more advance LiDAR methods. This was achieved by adjusting the point cloud classification parameters (maximum angle, maximum distance and cell size), which to our knowledge, has not has not been reported in the available SfM literature. The SfM terrain model showed minimal differences in ground elevation in the center of the image domain (0-0.5 m) while errors increased on the edges of the domain. The SfM model generated the largest catchment area, main and total channel length (1.07 ha, 106.1 and 223 m, respectively) while LiDAR model obtained the smallest area and main channel length (0.77 ha and 92.9 m, respectively). On the other hand, the SfM model had a better and accurate representation of the river network among all models evaluated due to its closest proximity to the observed GPS-tracked main channel. We concluded that the integration of low cost unmanned aerial vehicles and the SfM method is a good alternative to estimate hydro-morphological attributes in small catchments. Furthermore, we found that high resolution SfM-based terrain models had a fairly good representation of small catchments which is useful in regions with limited data availability. The main findings of this research provide scientific value within the field of hydrological remote sensing in particular in the acquisition of high resolution topography in remote areas without access to more expensive LiDAR or survey techniques. High resolution DEMs allow for a better characterization of catchment area size and stream network delineation which influence hydrological processes (i.e. soil moisture redistribution, runoff, ET).
Hydrological Processes | 2018
Jorge M. Uuh-Sonda; Hugo Gutiérrez-Jurado; Bernardo Figueroa-Espinoza; Luis A. Méndez-Barroso
Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de Mexico, Sisal, Mexico Department of Geological Sciences, University of Texas at El Paso, El Paso, Texas Departamento de Ciencias del Agua y Medio Ambiente, Instituto Tecnológico de Sonora, Obregon, Mexico Laboratorio Nacional de Resiliencia Costera (LANRESC), Sisal, Mexico Correspondence Bernardo Figueroa‐Espinoza, Laboratorio de Ingeniería y Procesos Costeros, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Av. Colón No. 503‐F x Av. Reforma y 62, Col. Centro, Mérida, Yucatán, C.P. 97000, México. Email: [email protected]
Journal of Hydrology | 2009
Luis A. Méndez-Barroso; Enrique R. Vivoni; Christopher J. Watts; Julio C. Rodríguez
Ecohydrology | 2008
Enrique R. Vivoni; Alex Rinehart; Luis A. Méndez-Barroso; Carlos A. Aragon; Gautam Bisht; M. Bayani Cardenas; Emily M. Engle; B. A. Forman; Marty D. Frisbee; Hugo A. Gutiérrez-Jurado; Song-ho Hong; Taufique H. Mahmood; Kinwai Tai; Robert L. Wyckoff
Journal of Arid Environments | 2010
Luis A. Méndez-Barroso; Enrique R. Vivoni
Advances in Water Resources | 2015
Giuseppe Mascaro; Enrique R. Vivoni; Luis A. Méndez-Barroso
Journal of Hydrology | 2014
Ryan C. Templeton; Enrique R. Vivoni; Luis A. Méndez-Barroso; Nicole A. Pierini; Cody A. Anderson; Albert Rango; Andrea S. Laliberte; Russell L. Scott
Journal of Arid Environments | 2010
Enrique R. Vivoni; Christopher J. Watts; Julio C. Rodríguez; Jaime Garatuza-Payan; Luis A. Méndez-Barroso; Juan Sáiz-Hernández