F. Salas

ORCID: 0000-0003-2939-4114
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrological Forecasting Using AI
  • Environmental Monitoring and Data Management
  • Meteorological Phenomena and Simulations
  • Advanced Computational Techniques and Applications
  • Tropical and Extratropical Cyclones Research
  • Water Quality and Pollution Assessment
  • Water resources management and optimization
  • Hydrology and Drought Analysis
  • Environmental Science and Water Management
  • Climate variability and models
  • Atmospheric and Environmental Gas Dynamics
  • Marine and fisheries research
  • Hydrology and Sediment Transport Processes
  • Agriculture, Soil, Plant Science
  • Precipitation Measurement and Analysis
  • Reservoir Engineering and Simulation Methods
  • Scientific Computing and Data Management
  • Tourism, Volunteerism, and Development
  • Groundwater and Watershed Analysis
  • Water-Energy-Food Nexus Studies
  • Simulation Techniques and Applications
  • Soil Moisture and Remote Sensing
  • Groundwater flow and contamination studies

Universidad Nacional de Chimborazo
2024

National Oceanic and Atmospheric Administration
2017-2024

NOAA National Weather Service
2022-2024

Universidad Andrés Bello
2024

NOAA Office of Water Prediction
2022-2024

NOAA National Water Center
2017-2022

The University of Texas at Austin
2014-2015

Abstract We build three long short‐term memory (LSTM) daily streamflow prediction models (deep learning networks) for 531 basins across the contiguous United States (CONUS), and compare their performance: (1) a LSTM post‐processor trained on National Water Model (NWM) outputs (LSTM_PP), (2) NWM atmospheric forcings (LSTM_PPA), (3) model only forcing (LSTM_A). LSTMs period 2004–2014 evaluated 1994–2002, compared several performance metrics to reanalysis. Overall of is similar, with median NSE...

10.1111/1752-1688.12964 article EN JAWRA Journal of the American Water Resources Association 2021-11-15

Abstract The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the Center for Atmospheric Research and NWS Centers Environmental (NCEP) implemented version 2.1 Model (NWM) into operations April 2021. As initial 2016, NWM v2.1 is an hourly cycling analysis forecast system that provides streamflow guidance millions river reaches other hydrologic information on high‐resolution grids. complementary at current locations significantly expands coverage water...

10.1111/1752-1688.13184 article EN cc-by JAWRA Journal of the American Water Resources Association 2024-01-12

Abstract The National Weather Service ( NWS ) forecasts floods at approximately 3,600 locations across the United States (U.S.). However, river network, as defined by 1:100,000 scale Hydrography Dataset‐Plus NHDP lus) dataset, consists of 2.7 million segments. Through Flood Interoperability Experiment, a continental streamflow simulation and forecast system was implemented continuously operated through summer 2015. This leveraged WRF ‐Hydro framework, initialized on 3‐km grid, Routing...

10.1111/1752-1688.12586 article EN publisher-specific-oa JAWRA Journal of the American Water Resources Association 2017-10-16

Abstract Height Above Nearest Drainage (HAND), a drainage normalizing terrain index, is means able of producing flood inundation maps (FIMs) from the National Water Model (NWM) at large scales and high resolutions using reach‐averaged synthetic rating curves. We highlight here that HAND limited to only when sourced its nearest flowpath, thus lacks ability source multiple fluvial sources. A version HAND, known as Generalized Mainstems (GMS), proposed discretizes target stream network into...

10.1029/2022wr032039 article EN cc-by Water Resources Research 2023-04-18

Abstract The NOAA National Water Model (NWM) became operational in August 2016, producing the first ever real-time, distributed, continuous set of hydrologic forecasts over continental United States (CONUS). This project uses integrated hydrometeorological assessment methods to investigate utility NWM predict catastrophic flooding associated with an extreme rainfall event that occurred Ellicott City, Maryland, on 27–28 May 2018. Short-range (0–18-h lead time) from version 1.2 are explored,...

10.1175/jhm-d-19-0125.1 article EN Journal of Hydrometeorology 2020-01-28

Abstract. Given the availability of high-quality and high-spatial-resolution digital elevation maps (DEMs) from United States Geological Survey's 3D Elevation Program (3DEP), derived mostly light detection ranging (lidar) sensors, we examined effects these DEMs at various spatial resolutions on quality flood inundation map (FIM) extents a terrain index known as Height Above Nearest Drainage (HAND). We found that using improved resulting FIM around 80 % catchments analyzed when compared to...

10.5194/hess-28-1287-2024 article EN cc-by Hydrology and earth system sciences 2024-03-22

Abstract Reservoir management is a critical component of flood management, and information on reservoir inflows particularly essential for managers to make real‐time decisions given that conditions change rapidly. This study's objective build data‐driven services enable rapidly estimate from available data models. We have tested the using case study Texas flooding events in Lower Colorado River Basin November 2014 May 2015, which involved sudden switch drought flooding. constructed two...

10.1111/1752-1688.12575 article EN JAWRA Journal of the American Water Resources Association 2017-09-18

The study analyses the essential competencies for Business Administration students, emphasising their relevance in training competitive professionals a globalised and dynamic labour market. Using mixed methodology based on Kurt Lewin's Action Research Theory, participatory workshops, questionnaires, semi-structured interviews were employed to collect data from sample of 52 students. analysis involved statistical techniques thematic categorisation identify patterns trends. Twenty-four key...

10.62754/joe.v3i8.5584 article EN cc-by-nc-nd Journal of Ecohumanism 2024-12-27

Abstract. In a world driven by the Internet and readily accessible information it provides, there exists high demand to easily discover collect vast amounts of data available over several scientific domains numerous types. To add complexity, is not only through plethora sources within disparate systems but also represents differing scales space time. One clear divide that in science technology disjoint relationship between hydrologic atmospheric information. These worlds have long been split...

10.5194/nhess-12-3013-2012 article EN cc-by Natural hazards and earth system sciences 2012-10-02

With the growth of student interest in humanitarian engineering development projects, a critical assessment strengths and weaknesses this type work is crucial to success. While number models exist for joining with technical expertise paper focuses on experiences students working program Peru within Greater Austin Chapter Engineers Without Borders (EWB)-USA. This unique EWB-USA that builds ongoing academic research Peruvian Andes at University Texas regional efforts by The Mountain Institute...

10.24908/ijsle.v0i0.5567 article EN cc-by-sa International Journal for Service Learning in Engineering Humanitarian Engineering and Social Entrepreneurship 2014-12-31

A new method of participatory decision support that can be used in transboundary basins is presented. The framework this relies first on the creation a geographic information system database to store hydrologic data and allow easy access by stakeholders. Results show countries Jordan River could benefit from framework, case southern Lebanon six climate stations should replaced or reactivated. Finally, mechanism Lebanese presented shows an observation model will facilitate science policy integration.

10.1061/9780784413548.194 article EN World Environmental and Water Resources Congress 2011 2014-05-29

Abstract. Given the availability of high quality and spatial resolution digital elevation models (DEMs) from United States Geological Survey’s 3-Dimensional Elevation Program (3DEP) derived mostly Light Detection Ranging sensors, we examined effects these DEMs at various resolutions on flood inundation map (FIM) extents a terrain index known as Height Above Nearest Drainage (HAND). We found that using improved resulting FIMs around 80 % catchments analyzed when compared to National...

10.5194/egusphere-2023-1205 preprint EN cc-by 2023-07-10

The National Water Model (NWM) currently requires the post-processing of forecast discharges to produce flood inundation maps (FIM) support Weather Service’s mission protecting life and property. Height Above Nearest Drainage (HAND) is a means detrending digital elevation models (DEM) by normalizing elevations nearest, relevant drainage line (creeks, rivers, etc). It’s worthy producing high-resolution FIMs at large spatial scales frequent time steps using reach-averaged synthetic rating...

10.1002/essoar.10510488.1 preprint EN cc-by 2022-02-12
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