Jorge Luis Sánchez Lozano

ORCID: 0000-0001-7210-1837
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Geophysics and Gravity Measurements
  • Environmental Monitoring and Data Management
  • Tropical and Extratropical Cyclones Research
  • Disaster Management and Resilience
  • GNSS positioning and interference
  • Cryospheric studies and observations
  • Water Resource Management and Quality
  • Distributed and Parallel Computing Systems
  • Meteorological Phenomena and Simulations
  • Underwater Vehicles and Communication Systems
  • Hydrological Forecasting Using AI
  • Scientific Computing and Data Management
  • Environmental Quality and Pollution
  • Geophysical and Geoelectrical Methods
  • Water resources management and optimization
  • Land Use and Ecosystem Services
  • Solar and Space Plasma Dynamics
  • Reservoir Engineering and Simulation Methods
  • Hydrology and Drought Analysis

Brigham Young University
2019-2024

Instituto de Investigaciones de la Amazonía Peruana
2024

Accurately assessing groundwater storage changes in Niger is critical for long-term water resource management but difficult due to sparse field data. We present a study of and recharge Southern Niger, computed using data from NASA Gravity Recovery Climate Experiment (GRACE) mission. compute anomaly estimate by subtracting the surface provided Global Land Data Assimilation System (GLDAS) model GRACE total anomaly. use statistical fill gaps analyze time period 2002 2021, which corresponds life...

10.3390/rs14071532 article EN cc-by Remote Sensing 2022-03-22

We present the development and testing of a web application called historical validation tool (HVT) that processes visualizes observed simulated stream discharge data from global GEOGloWS ECMWF streamflow services (GESS), performs seasonally adjusted bias correction, computes goodness-of-fit metrics, forward correction on subsequent forecasts. The HVT corrects GESS output at local scale using technique identifies model hydrological are accessed services. evaluates performance historic...

10.3390/hydrology8020071 article EN cc-by Hydrology 2021-04-25

The Group on Earth Observations (GEO) Global Water Sustainability (GEOGloWS) hydrologic model provides global river discharge hindcasts and daily forecasts at approximately one million subbasins worldwide. is meant to sustainably provide data during emergency situations underdeveloped countries which do not have sufficient local capacity. primary error biased flow magnitudes reduce the usefulness of results. We applied a revised implementation SABER bias correction method correct GEOGloWS...

10.1016/j.jhydrol.2023.130279 article EN cc-by Journal of Hydrology 2023-10-06

Abstract The Hindu Kush Himalayan region is extremely susceptible to periodic monsoon floods. Early warning systems with the ability predict floods in advance can benefit tens of millions people living region. Two web-based flood forecasting tools (ECMWF-SPT and HIWAT-SPT) are therefore developed deployed jointly by SERVIR-HKH NASA-AST provide early Bangladesh, Bhutan, Nepal. ECMWF-SPT provides ensemble forecast up 15-day lead time, whereas HIWAT-SPT deterministic 3-day time covering almost...

10.1007/s11069-021-05014-y article EN cc-by Natural Hazards 2021-09-01

We present the design and development of an open-source web application called Water Data Explorer (WDE), designed to retrieve water resources observation model data from catalogs that follow WaterOneFlow WaterML Service-Oriented Architecture standards. WDE is a fully customizable built using Tethys Platform environment. As it open source, can be deployed on servers international government agencies, non-governmental organizations, research teams, others. provides uniform access catalogs,...

10.3390/w13131850 article EN Water 2021-07-02

Abstract Floods impact communities worldwide, resulting in loss of life, damaged infrastructure and natural assets, threatened livelihoods. Climate change urban development flood‐prone areas will continue to worsen flood‐related losses, increasing the urgency for effective tools monitor recovery. Many Earth Observation (EO) applications exist flood‐hazard monitoring provide insights on location, timing, extent near real‐time historically estimate flood risk. Less attention has been paid...

10.1029/2023ef003606 article EN cc-by Earth s Future 2024-02-01

Flood early warning systems are crucial for disaster risk reduction strategies, enabling communities to take timely action against threats. However, the effectiveness of these depends on accurate and hydrological data, particularly river discharge water level measurements. Unfortunately, many regions face significant challenges in obtaining especially due outdated rating curves, high equipment costs, logistical constraints. In contrast, water-level measurements offer reduced uncertainty...

10.22541/essoar.173532353.33602073/v1 preprint EN Authorea (Authorea) 2024-12-27

Floods impact communities worldwide, resulting in an estimated $651 billion (USD) damages, countless fatalities, and threatened livelihoods over the last two decades alone. Climate change urban development flood-prone areas will continue to worsen flood-related losses increasing urgency for effective tools monitor recovery. Many Earth Observation (EO) applications exist flood-hazard monitoring provide insights on location, timing, extent near real-time historically estimate flood risk. Less...

10.22541/essoar.169143843.33195193/v1 preprint EN Authorea (Authorea) 2023-08-07
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