A5078237634- Hydrology and Watershed Management Studies
- Geophysics and Gravity Measurements
- Plant Water Relations and Carbon Dynamics
- Hydrology and Drought Analysis
- Climate variability and models
- Flood Risk Assessment and Management
- Water resources management and optimization
- Soil Moisture and Remote Sensing
- Oceanographic and Atmospheric Processes
- Fire effects on ecosystems
- Groundwater and Isotope Geochemistry
- Urban Heat Island Mitigation
- Cryospheric studies and observations
- Irrigation Practices and Water Management
- Geology and Paleoclimatology Research
- Remote Sensing in Agriculture
- Tropical and Extratropical Cyclones Research
- Meteorological Phenomena and Simulations
- Building Energy and Comfort Optimization
- Smart Parking Systems Research
- Icing and De-icing Technologies
- Remote Sensing and Land Use
- Geochemistry and Elemental Analysis
- Urban Green Space and Health
- Tree-ring climate responses
Science Applications International Corporation (United States)
2023-2025
Goddard Space Flight Center
2020-2025
Johns Hopkins University
2016-2024
National Aeronautics and Space Administration
2024
University of Nebraska–Lincoln
2023
Ames Research Center
2023
Mississippi State University
2023
Physical Sciences (United States)
2023
University of Baltimore
2020
Changjiang Water Resources Commission
2018
Abstract Advanced Land Surface Models (LSM) offer a powerful tool for studying hydrological variability. Highly managed systems, however, present challenge these models, which typically have simplified or incomplete representations of human water use. Here we examine recent groundwater declines in the US High Plains Aquifer (HPA), region that is heavily utilized irrigation and also affected by episodic drought. To understand observed decline terrestrial storage during multiyear drought,...
Abstract Assimilating terrestrial water storage observations from the Gravity Recovery and Climate Experiment (GRACE) mission into land surface models (LSMs) provides an opportunity to disaggregate downscale GRACE information finer scales improve component estimates in LSMs. However, performance of data assimilation (GRACE‐DA) is limited by lack representation human activities most To simultaneously GRACE‐DA reduce uncertainties modeled anthropogenic processes, we assimilate mascon‐based...
Abstract Though coarse in spatial resolution, the nearly all weather measurements from passive microwave sensors can help improving spatio‐temporal coverage of optical and thermal infrared for monitoring vegetation changes on land surface. This study demonstrates use depth (VOD) retrievals Soil Moisture Active Passive mission capturing alterations recent 2019 to 2020 Australian bushfires drought. The impact disturbances terrestrial water budget is examined by assimilating VOD into a dynamic...
Abstract Anthropogenic heat is an important component of the urban energy budgets that can affect land surface and atmospheric boundary layer processes. Representation anthropogenic in numerical climate modeling systems therefore when simulating meteorology has potential to improve weather forecasts, process studies, demand analysis. Here, spatiotemporally dynamic data estimated by Building Effects Parameterization Energy Model (BEP-BEM) are incorporated into Weather Research Forecasting...
Abstract. The Middle East and North Africa (MENA) region has experienced more frequent severe drought events in recent decades, leading to increasingly pressing concerns over already strained food water security. An effective monitoring early warning system is thus critical support risk mitigation management by countries the region. Here we investigate potential for assimilation of leaf area index (LAI) soil moisture observations improve representation overall hydrological carbon cycles an...
Abstract The rapid expansion of desert croplands in the Tarim River Basin, which depend heavily on irrigation with meltwater, has coincided increases snow and glacier melt high mountains Asia during past decades. Meanwhile, there have been intensive investments modern technology aimed at enhancing water use efficiency. importance meltwater mountain front agroecosystems widely acknowledged, but it is not clear how important this versus increased efficiency (IRE) for cropland Basin. Here we...
Abstract In a warming climate, wildfires are becoming increasingly common, especially in semi‐arid environments. Wildfires can disrupt forest ecosystems and induce changes to the land surface. Collectively, these impacts alter hydrologic response of catchment following fire, resulting increased potential for surface runoff, reduced evapotranspiration, and, ultimately, higher risk flash flooding mass wasting. The timescale post‐fire recovery hydrological processes return pre‐fire conditions...
Abstract Climate variability is an important driver of irrigation water use in many regions. Efforts to anticipate climate change impacts on future availability can benefit from understanding how demand has responded these drivers date. Here we apply satellite‐derived data, meteorological reanalysis, advanced land surface model, and available state‐level reports quantify sensitivities temperature precipitation across the Contiguous United States, for period 2002–2017. As expected, strong...
Climate change and human activities alter the global freshwater cycle, causing nonstationary processes as its distribution shifting over time, yet a comprehensive understanding of these changes remains elusive. Here, we develop remote sensing–informed terrestrial reanalysis assess nonstationarity interconnections among water cycle components from 2003 to 2020. We highlight 20 hotspot regions where storage exhibits strong nonstationarity, impacting 35% population 45% area covered by irrigated...
Representation of irrigation in Earth System Models has advanced over the past decade, yet large uncertainties persist effective simulation practices, particularly locations where on-ground practices and climate impacts are less reliably known. Here we investigate utility assimilating remotely sensed vegetation data for improving water use associated fluxes within a land surface model. We show that optical sensor-based leaf area index estimates significantly improves when compared to USGS...
Abstract Understanding the human water footprint and its impact on hydrological cycle is essential to inform management under climate change. Despite efforts in estimating irrigation withdrawals earth system models, uncertainties discrepancies exist within across modeling systems conditioned by model structure, parameterization, choice of input datasets. Achieving reliability could be much more challenging for data-sparse regions, given limited access ground truth parameterization...
Abstract This paper presents the composite drought indicator (CDI) that Jordanian, Lebanese, Moroccan, and Tunisian government agencies now produce monthly to support operational management decision making, it describes their iterative co-development processes. The CDI is primarily intended monitor agricultural ecological on a seasonal time scale. It uses remote sensing modelled data inputs, reflects anomalies in precipitation, vegetation, soil moisture, evapotranspiration. Following...
Abstract Satellite observations of coastal Louisiana indicate an overall land loss over recent decades, which could be attributed to climate and human‐induced factors, including sea level rise (SLR). Climate‐induced hydrological change (CHC) has impacted the way flood control structures are used, altering spatiotemporal water distribution. Based on “what‐if” scenarios, we determine relative impacts SLR CHC increased risk southern examine role management, via structures, in mitigating region....
Abstract. The Middle East and North Africa (MENA) region has experienced more frequent severe drought events in recent decades, leading to increasingly pressing concerns over already strained food water security. An effective monitoring early warning system is thus critical support risk mitigation management by countries the region. Here we investigate potential for assimilation of leaf area index (LAI) soil moisture observations improve representation overall hydrological carbon cycles an...
The irrigated area expansion in South Asia brings challenges to water resources management, and the combination of irrigation climatic variability has caused periodic shortages many parts region. In this context, monitoring predicting influences extraction on balance become increasingly important for local governments decision-makers. study, we apply a demand-driven scheme an existing hydrological system that uses Noah-MultiParameterization land surface model within NASA Land Information...
<title>Abstract</title> Southern Asia benefits from groundwater pumping for dry-season irrigation by increasing both crop productivity and monsoon aquifer recharge rates in the region. Based on a data-driven integrated modeling system, we provide numerical evidence that impacts of unsustainable groundwater-fed surface freshwater availability go beyond what was previously understood. Our results confirm findings previous studies increased during wet seasons over 2002-2021, but they are...
Sea surface salinity ([Formula: see text]) is a key parameter in the thermohaline circulation of global oceans. Near megadeltas, inland streamflow through large catchments plays crucial role mediating salinity. While some regional studies have investigated how [Formula: text] impacted water cycle and climate components, scale quantification contribution on variability lacking. Here, we utilized remote sensing observation-driven datasets to quantify statistical associations between at 48...