G. B. Senay

ORCID: 0000-0002-8810-8539
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Plant Water Relations and Carbon Dynamics
  • Climate variability and models
  • Hydrology and Drought Analysis
  • Water resources management and optimization
  • Remote Sensing in Agriculture
  • Flood Risk Assessment and Management
  • Soil Moisture and Remote Sensing
  • Water-Energy-Food Nexus Studies
  • Solar Radiation and Photovoltaics
  • Urban Heat Island Mitigation
  • Geophysics and Gravity Measurements
  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations
  • Climate change impacts on agriculture
  • Groundwater flow and contamination studies
  • Land Use and Ecosystem Services
  • Groundwater and Isotope Geochemistry
  • Species Distribution and Climate Change
  • Hydrological Forecasting Using AI
  • Geothermal Energy Systems and Applications
  • Water Quality and Resources Studies
  • Urban Stormwater Management Solutions
  • Soil and Unsaturated Flow
  • Aquatic Ecosystems and Biodiversity

United States Geological Survey
2015-2024

Earth Resources Observation and Science Center
2011-2024

North Central Climate Adaptation Science Center
2019-2024

Climate Central
2016-2023

Colorado State University
2015-2023

Climate Adaptation Science Centers
2023

University of Sioux Falls
2009-2017

South Dakota State University
2007-2015

Electromagnetic Geoservices (Norway)
2014

Early Warning (United States)
2008

Abstract The increasing availability of multi‐scale remotely sensed data and global weather datasets is allowing the estimation evapotranspiration ( ET ) at multiple scales. We present a simple but robust method that uses thermal model‐assimilated fields to produce for contiguous United States CONUS monthly seasonal time based on Simplified Surface Energy Balance SSEB model, which now parameterized operational applications, renamed as op. innovative aspect op it predefined boundary...

10.1111/jawr.12057 article EN JAWRA Journal of the American Water Resources Association 2013-05-13

Abstract As a country whose economy is heavily dependent on low‐productivity rainfed agriculture, rainfall trends are often cited as one of the more important factors in explaining various socio‐economic problems such food insecurity. Therefore, order to help policymakers and developers make informed decisions, this study investigated temporal dynamics its spatial distribution within Ethiopia. Changes were examined using data from 134 stations 13 watersheds between 1960 2002. The variability...

10.1002/joc.1623 article EN International Journal of Climatology 2008-03-05

Abstract. This study presents an "Earth observation-based" method for estimating root zone storage capacity – a critical, yet uncertain parameter in hydrological and land surface modelling. By assuming that vegetation optimises its to bridge critical dry periods, we were able use state-of-the-art satellite-based evaporation data computed with independent energy balance equations derive gridded at global scale. approach does not require soil or information, is model independent, principle...

10.5194/hess-20-1459-2016 article EN cc-by Hydrology and earth system sciences 2016-04-19

Evapotranspiration (ET) mapping at the Landsat spatial resolution (100 m) is essential to fully understand water use and availability field scale. Water estimates in Colorado River Basin (CRB), which has diverse ecosystems complex hydro-climatic regions, will be helpful planners managers. Availability of 8 images, starting 2013, provides opportunity map ET CRB assess distribution patterns use. The Operational Simplified Surface Energy Balance (SSEBop) model was used with 528 images create...

10.1016/j.rse.2015.12.043 article EN cc-by Remote Sensing of Environment 2016-01-12

Abstract The lack of consistent, accurate information on evapotranspiration (ET) and consumptive use water by irrigated agriculture is one the most important data gaps for managers in western United States (U.S.) other arid agricultural regions globally. ability to easily access ET central improving budgets across West, advancing data‐driven irrigation management strategies, expanding incentive‐driven conservation programs. Recent advances remote sensing have led development multiple...

10.1111/1752-1688.12956 article EN cc-by JAWRA Journal of the American Water Resources Association 2021-11-02

Abstract Remotely sensed evapotranspiration (ET) data offer strong potential to support data-driven approaches for sustainable water management. However, practitioners require robust and rigorous accuracy assessments of such data. The OpenET system, which includes an ensemble six remote sensing models, was developed increase access field-scale (30 m) ET the contiguous United States. Here we compare outputs against from 152 in situ stations, primarily eddy covariance flux towers, deployed...

10.1038/s44221-023-00181-7 article EN cc-by Nature Water 2024-01-15

Accurate crop performance monitoring and production estimation are critical fortimely assessment of the food balance several countries in world. Since 2001, theFamine Early Warning Systems Network (FEWS NET) has been cropperformance relative using satellite-derived data simulation models inAfrica, Central America, Afghanistan where ground-based is limitedbecause a scarcity weather stations. The commonly used arebased on water-balance algorithm with inputs from rainfallestimates. These useful...

10.3390/s7060979 article EN cc-by Sensors 2007-06-15

Abstract A precipitation climatology of Africa is documented using 12 years satellite-derived daily data from the Global Precipitation Climatology Project (GPCP). The focus on examining spatial variations in annual cycle and describing characteristics wet season(s) a consistent, objective, well-tested methodology. Onset defined as occurring when consistently exceeds its local average ends systematically drops below that value. Wet season length, rate, total are then determined. Much...

10.1175/jcli-d-11-00157.1 article EN other-oa Journal of Climate 2012-02-14

Abstract Evapotranspiration (ET) is an important hydrological process that can be studied and estimated at multiple spatial scales ranging from a leaf to river basin. We present review of methods in estimating basin scale ET its applications understanding water balance dynamics. The focuses on two aspects ET: (i) how the approach used estimate ET; (ii) ‘direct’ measurement modelling approaches are ET. Obviously, balance‐based requires availability good precipitation discharge data calculate...

10.1002/hyp.8379 article EN Hydrological Processes 2011-11-03

Abstract This study presents new data‐driven, annual estimates of the division precipitation into recharge, quick‐flow runoff, and evapotranspiration ( ET ) water budget components for 2000‐2013 contiguous United States CONUS ). The algorithms used to produce these maps ensure consistency over this broad spatial scale, with contributions from influx attributed each component at 800 m resolution. runoff contribution rapidly varying portion hydrograph are produced using data 1,434 gaged...

10.1111/1752-1688.12546 article EN JAWRA Journal of the American Water Resources Association 2017-07-14

Abstract Background Malaria is one of the leading public health problems in most sub-Saharan Africa, particularly Ethiopia. Almost all demographic groups are at risk malaria because seasonal and unstable transmission disease. Therefore, there a need to develop early-warning systems enhance decision making for control prevention epidemics. Data from orbiting earth-observing sensors can monitor environmental factors that trigger Remotely sensed indicators were used examine influences climatic...

10.1186/1475-2875-11-165 article EN cc-by Malaria Journal 2012-05-14

Abstract. Lake Turkana is one of the largest desert lakes in world and characterized by high degrees inter- intra-annual fluctuations. The hydrology water balance this lake have not been well understood due to its remote location unavailability reliable ground truth datasets. Managing surface resources a great challenge areas where in-situ data are either limited or unavailable. In study, multi-source satellite-driven such as satellite-based rainfall estimates, modelled runoff,...

10.5194/hess-16-1-2012 article EN cc-by Hydrology and earth system sciences 2012-01-03

Abstract. Remote sensing-based evapotranspiration (ET) can be derived using various methods, from soil moisture accounting to vegetation-index based approaches simple and complex surface energy balance techniques. Due the complexity of fully representing parameterizing ET sub-processes, different models tend diverge in their estimations. However, most appear provide reasonable estimations that meet user requirements for seasonal water use estimation drought monitoring. One such model is...

10.13031/aea.12614 article EN Applied Engineering in Agriculture 2018-01-01

The development of different energy balance models has allowed users to choose a model based on its suitability in region. We compared four commonly used models—Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model, Surface Energy Balance Algorithm for Land (SEBAL) System (SEBS) and the Operational Simplified (SSEBop) model—using Landsat images estimate evapotranspiration (ET) Midwestern United States. Our validation using three AmeriFlux cropland sites...

10.3390/w8010009 article EN Water 2015-12-26

Evapotranspiration (ET) is an important component of the water cycle – ET from land surface returns approximately 60% global precipitation back to atmosphere. also plays role in energy transport among biosphere, atmosphere, and hydrosphere. Current regional daily annual estimation relies mainly on balance (SEB) models or statistical empirical methods driven by remote sensing data various climatological databases. These have uncertainties due inevitable input errors, poorly defined...

10.1016/j.jhydrol.2016.02.026 article EN cc-by-nc-nd Journal of Hydrology 2016-03-05

Remote sensing-based field-scale evapotranspiration (ET) maps are useful for characterizing water use patterns and assessing crop performance. The relative impact of climate variability management decisions better studied quantified using historical data that derived a set consistent datasets methodology. Historical (1984–2014) Landsat-based ET were generated major irrigation districts in California, i.e., Palo Verde eight other sub-basins parts the middle lower Central Valley. A total 3396...

10.1016/j.rse.2017.05.005 article EN cc-by Remote Sensing of Environment 2017-05-19

Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management agricultural applications from budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) routinely produce post multitemporal ETa anomalies online drought monitoring early warning purposes. Implementation of global...

10.3390/s20071915 article EN cc-by Sensors 2020-03-30

A large sample of ground-based evapotranspiration (ET) measurements made in the United States, primarily from eddy covariance systems, were post-processed to produce a benchmark ET dataset. The dataset was produced support intercomparison and evaluation OpenET satellite-based remote sensing (RSET) models could also be used evaluate data other approaches. is web-based service that makes field-delineated pixel-level estimates well-established RSET readily available water managers, agricultural...

10.1016/j.agrformet.2023.109307 article EN cc-by-nc-nd Agricultural and Forest Meteorology 2023-01-27

Actual evapotranspiration modeling is providing useful information for researchers and resource managers in agriculture water resources around the world. The performance of models depends on accuracy forcing inputs model parameters. We developed an improved approach to parameterization Operational Simplified Surface Energy Balance (SSEBop) using Forcing Normalizing Operation (FANO). SSEBop has two key parameters that define boundary conditions. FANO algorithm computes wet-bulb condition a...

10.3390/rs15010260 article EN cc-by Remote Sensing 2023-01-01

The application of Long Short-Term Memory (LSTM) models for streamflow predictions has been an area rapid development, supported by advancements in computing technology, increasing availability spatiotemporal data, and historical data that allows training data-driven LSTM models. Several studies have focused on improving the performance models; however, few assessed applicability these across different hydroclimate regions. This study investigated generally preferred multi-basin trained...

10.1016/j.mlwa.2024.100551 article EN cc-by-nc Machine Learning with Applications 2024-04-16
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