A5066714002- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- Climate variability and models
- Water resources management and optimization
- Flood Risk Assessment and Management
- Geophysics and Gravity Measurements
- Remote Sensing and Land Use
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Environmental and Agricultural Sciences
- demographic modeling and climate adaptation
- Data Visualization and Analytics
- Climate change and permafrost
- Wastewater Treatment and Nitrogen Removal
- Soil and Unsaturated Flow
- Data Management and Algorithms
- Financial Risk and Volatility Modeling
- Computational Physics and Python Applications
- GNSS positioning and interference
- Image Retrieval and Classification Techniques
- Energy Load and Power Forecasting
- Solar and Space Plasma Dynamics
Global Institute for Water Security
2021-2023
University of Saskatchewan
2021-2023
Princeton University
2012-2020
Met Office
2019
University of California, Los Angeles
2018
UCLA Health
2017
University of Waterloo
2011-2012
Drought is one of the leading impediments to development in Africa. Much continent dependent on rain-fed agriculture, which makes it particularly susceptible climate variability. Monitoring drought and providing timely seasonal forecasts are essential for integrated risk reduction. Current approaches developing regions have generally been limited, however, part because unreliable monitoring networks. Operational also deficient often reliant statistical regressions, unable provide detailed...
Soil moisture plays a key role in controlling land-atmosphere interactions, with implications for water resources, agriculture, climate, and ecosystem dynamics. Although soil varies strongly across the landscape, current monitoring capabilities are limited to coarse-scale satellite retrievals few regional in-situ networks. Here, we introduce SMAP-HydroBlocks (SMAP-HB), high-resolution satellite-based surface dataset at an unprecedented 30-m resolution (2015-2019) conterminous United States....
Abstract. Since April 2015, NASA's Soil Moisture Active Passive (SMAP) mission has monitored near-surface soil moisture, mapping the globe (between 85.044∘ N/S) using an L-band (1.4 GHz) microwave radiometer in 2–3 days depending on location. Of particular interest to SMAP-based agricultural applications is a monitoring product that assesses SMAP moisture terms of probability percentiles for dry and wet conditions. However, short record length poses statistical challenge meaningful...
Abstract. The analysis of the spatial and temporal patterns low flows as well their generation mechanisms over large geographic regions can provide valuable insights understanding for climate change impacts, regional frequency analysis, risk assessment extreme events, decision-making regarding allowable withdrawals. goal this paper is to examine nonstationarity in flow across eastern US explore potential anthropogenic influences or drivers. We use nonparametric tests identify abrupt gradual...
The objective in frequency analysis is, given extreme events such as drought severity or duration, to estimate the relationship between that event and associated return periods at a catchment. Neural networks other artificial intelligence approaches function estimation regression are relatively new techniques engineering, providing an attractive alternative traditional statistical models. There are, however, few applications of neural support vector machines area quantile for analysis. In...
This paper studies the frequency analysis of droughts using a copula with application regionalization in context bivariate homogeneity analysis. Drought events indicated by severity and duration were extracted from monthly flow averages. A K-means clustering algorithm was used to form initial regions. fuzzy C-means final groups sites that meet criteria discordancy, homogeneity, size. The Gumbel, Clayton, Frank copulas for drought studied. Results show importance clear definition every...
Abstract. Since April 2015, NASA's Soil Moisture Active Passive (SMAP) mission has monitored near-surface soil moisture, mapping the globe between latitude bands of 85.044° N/S in 2–3 days depending on location. SMAP Level 3 passive radiometer product (SPL3SMP) measures amount water top 5 cm except for regions heavy vegetation (vegetation content >4.5 kg/m2) and frozen or snow covered locations. SPL3SMP retrievals are spatially temporally discontinuous, so 33 months offers a short record...
Abstract. The analysis of the spatial and temporal patterns low flows as well their generation mechanisms over large geographic regions can provide valuable insights understanding for climate change impacts, regional frequency analysis, risk assessment extreme events, decision-making regarding allowable withdrawals. We use nonparametric tests to identify abrupt gradual changes in time series timing 508 USGS streamflow gauging sites eastern US with more than 50 years daily data,...
Abstract. In the coming decades, a changing climate, growing global population, and rising food prices will have significant yet uncertain impacts on both water security. The loss of high-quality land, slowing in annual yield major cereals, increasing fertilizer use, all indicate that strategies are needed for monitoring predicting ongoing future deficits farms better agricultural management decisions. Most such activities based in-situ measurements which costly, hard to scale, ignore wealth...
Abstract. In the coming decades, a changing climate, loss of high-quality land, slowing in annual yield cereals, and increasing fertilizer use indicate that better agricultural water management strategies are needed. this study, we designed FarmCan, novel, robust remote sensing machine learning (ML) framework to forecast farms' needed daily crop quantity or irrigation (NI). We used diverse set simulated observed near-real-time (NRT) data coupled with random forest (RF) algorithm inputs about...