Rafael L. Bras
Affiliations: | Civil and Environmental Engineering | Massachusetts Institute of Technology, Cambridge, MA, United States | |
| Civil and Environmental Engineering | Georgia Institute of Technology, Atlanta, GA | ||
| School of Engineering | University of California, Irvine, Irvine, CA |
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"Rafael Luis Bras"Bio:
Bras, Rafael L Rainfall-runoff as spatial stochastic processes : data collection and synthesis. Thesis. 1975. Sc.D.--Massachusetts Institute of Technology. Dept. of Civil Engineering.
Cross-listing: E-Tree
Parents
Sign in to add mentor| Ignacio Rodriguez-Iturbe | grad student | 1975 | MIT | |
| (Rainfall-runoff as spatial stochastic processes : data collection and synthesis.) | ||||
Children
Sign in to add trainee| Pedro Juan Restrepo | grad student | MIT (Geotree) | |
| David G. Tarboton | grad student | MIT (E-Tree) | |
| Konstantine Georgakakos | grad student | 1982 | MIT (Econometree) |
| Angelos L. Protopatos | grad student | 1988 | MIT (E-Tree) |
| Jorge Ramirez | grad student | 1988 | MIT (E-Tree) |
| Shafiqul Islam | grad student | 1991 | MIT |
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Publications
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| Soylu ME, Bras RL. (2023) Dataset on the global distribution of shallow groundwater. Data in Brief. 47: 108973 |
| Zhang J, Lin L, Bras RL. (2020) Effect of Logarithmically Transformed IMERG Precipitation Observations in WRF 4D-Var Data Assimilation System Water. 12: 1918 |
| Longo M, Knox RG, Levine NM, et al. (2019) The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America Geoscientific Model Development. 12: 4347-4374 |
| Longo M, Knox RG, Medvigy DM, et al. (2019) The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description Geoscientific Model Development. 12: 4309-4346 |
| Ebtehaj A, Bras RL. (2019) A Physically Constrained Inversion for high-resolution Passive Microwave Retrieval of Soil Moisture and Vegetation Water Content in L-band Remote Sensing of Environment. 233: 111346 |
| Lin LF, Ebtehaj AM, Flores AN, et al. (2017) Combined Assimilation of Satellite Precipitation and Soil Moisture: A Case Study Using TRMM and SMOS Data Monthly Weather Review. 145: 4997-5014 |
| Moghim S, Bras RL. (2017) Bias Correction of Climate Modeled Temperature and Precipitation Using Artificial Neural Networks Journal of Hydrometeorology. 18: 1867-1884 |
| Noto LV, Bastola S, Dialynas YG, et al. (2017) Integration of fuzzy logic and image analysis for the detection of gullies in the Calhoun Critical Zone Observatory using airborne LiDAR data Isprs Journal of Photogrammetry and Remote Sensing. 126: 209-224 |
| Bastola S, Dialynas YG, Bras RL, et al. (2017) The role of vegetation on gully erosion stabilization at a severely degraded landscape: A case study from Calhoun Experimental Critical Zone Observatory Geomorphology. 308: 25-39 |
| Dialynas YG, Bras RL, Richter Dd. (2017) Hydro‐geomorphic perturbations on the soil‐atmosphere CO2 exchange: How (un)certain are our balances? Water Resources Research. 53: 1664-1682 |