Francisco Munoz-Arriola, Ph.D.
Affiliations: | 2007 | Duke University, Durham, NC |
Area:
Hydrology, Physical GeographyGoogle:
"Francisco Munoz-Arriola"Parents
Sign in to add mentor| Roni Avissar | grad student | 2007 | Duke | |
| (Streamflow response to precipitation measurement uncertainty and land-use changes in northwestern Mexico.) | ||||
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Publications
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| Sarzaeim P, Munoz-Arriola F, Jarquín D. (2022) Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability. Journal of Experimental Botany |
| Pandey V, Srivastava PK, Mall RK, et al. (2020) Multi-Satellite Precipitation Products for Meteorological Drought Assessment and Forecasting in Bundelkhand region of Central India Geocarto International. 1-20 |
| Amaranto A, Pianosi F, Solomatine D, et al. (2020) Sensitivity analysis of data-driven groundwater forecasts to hydroclimatic controls in irrigated croplands Journal of Hydrology. 587: 124957 |
| Kumar A, Ramsankaran R, Brocca L, et al. (2019) A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture Remote Sensing. 11: 2221 |
| Khan M, Munoz-Arriola F, Rehana S, et al. (2019) Spatial Heterogeneity of Temporal Shifts in Extreme Precipitation across India Journal of Computational Chemistry. 5: 19-31 |
| Amaranto A, Munoz-Arriola F, Solomatine DP, et al. (2019) A Spatially Enhanced Data‐Driven Multimodel to Improve Semiseasonal Groundwater Forecasts in the High Plains Aquifer, USA Water Resources Research. 55: 5941-5961 |
| Uden D, Allen C, Munoz-Arriola F, et al. (2018) A Framework for Tracing Social–Ecological Trajectories and Traps in Intensive Agricultural Landscapes Sustainability. 10: 1646 |
| Amaranto A, Munoz-Arriola F, Corzo G, et al. (2018) Semi-seasonal groundwater forecast using multiple data-driven models in an irrigated cropland Journal of Hydroinformatics. 20: 1227-1246 |
| Ou G, Munoz-Arriola F, Uden DR, et al. (2018) Climate change implications for irrigation and groundwater in the Republican River Basin, USA Climatic Change. 151: 303-316 |
| Singh V, Goyal MK, Surampalli RY, et al. (2017) Sub catchment Assessment of snowpack and snowmelt change by analyzing elevation bands and parameter sensitivity in the high Himalayas Hydrology and Earth System Sciences Discussions. 1-31 |