A5058583332- Hydrology and Watershed Management Studies
- Soil erosion and sediment transport
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Soil and Water Nutrient Dynamics
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- Flood Risk Assessment and Management
- Aeolian processes and effects
- Cancer Genomics and Diagnostics
- Meteorological Phenomena and Simulations
- Environmental and Cultural Studies in Latin America and Beyond
- Circular RNAs in diseases
- Urban Stormwater Management Solutions
- Cryospheric studies and observations
- GDF15 and Related Biomarkers
- Soil and Unsaturated Flow
- Cellular Automata and Applications
- 3D Surveying and Cultural Heritage
- Wastewater Treatment and Nitrogen Removal
- Rice Cultivation and Yield Improvement
- Cancer Mechanisms and Therapy
- Chemistry and Stereochemistry Studies
Iowa State University
2023-2025
Agricultural Research Service
2021-2023
Purdue University West Lafayette
2020-2023
South University
2021-2023
National Soil Erosion Research Laboratory
2020-2023
United States Department of Agriculture
2021
Abstract Climate change impacts on precipitation characteristics will alter the hydrologic characteristics, such as peak flows, time to peak, and erosion potential of watersheds. However, many currently available climate datasets are provided at temporal spatial resolutions that inadequate quantify projected changes in a watershed. Therefore, it is critical temporally disaggregate coarse-resolution data finer for studies sensitive characteristics. In this study, we generated novel 15-minute...
Maps of erosivity, which are also commonly referred to as isoerodent maps, have played a critical role in soil conservation efforts the United States and around world. Currently available erosivity maps for either outdated, conflict with benchmarking studies, or utilized less advanced spatial mapping methods. Furthermore, it is possible that same underlying issues US impacting global well. In this study, we used more than 3400 15-min, fixed-interval precipitation gauges update map...
The Water Erosion Prediction Project (WEPP) model code was modified extensively to support the simulation of nonpoint source (NPS) pollutant sourcing and transport in nonuniform hillslopes based on NPS science from Soil Assessment Tool (SWAT). This accomplished utilizing WEPP's overland flow element (OFE) place SWAT's hydrologic response unit (HRU) construct which enabled more physically plausible routing within a hillslope. In addition, several improvements base were implemented. These...
A key driver of erosion, and arguably the most labor-intensive input to erosion models, especially Water Erosion Prediction Project model (WEPP, Flanagan & Nearing, 1995), is climate.Even simplest models require climate inputs which are not always straightforward in their calculation.The complexity these dissuades potential users from creating own observed data, almost better than simulated counterparts, when used force for historical periods.For example, Revised Universal Soil Loss Equation...
The Water Erosion Prediction Project (WEPP) model has been widely used for estimating runoff and soil loss. evaluation of the latest version (version 2021.133) under a range environmental conditions can provide confidence to its users. objectives this study were evaluate WEPP loss predictions using 1159 plot years rainfall-runoff events data from field experimental plots with various climates, soils, topographies, crops. compared observations before after input parameter calibration. results...
Current watershed-scale, nonpoint source pollution models do not represent the processes and impacts of agricultural best management practices on water quality with sufficient detail. A Water Erosion Prediction Project-Water Quality (WEPP-WQ) model was recently developed which is capable simulating pollutant transport in nonuniform hillslope conditions such as those BMPs. However, WEPP-WQ has been validated for these conditions, prior validation work only evaluated calibrated performance...
Precipitation is one of many aspects our changing climate that under investigation by the scientific community. Although scientists generally predict amount precipitation has and will continue to increase for United States, characteristics are not well understood. Some have reported significant observed projected changes in characteristics, but existing studies adequately addressed this issue. The particularly vulnerable change energy, intensity, duration, frequency, which responsible...
Abstract Numerous hydrological applications, such as soil erosion estimation, water resource management, and rain driven damage assessment, demand accurate reliable rainfall erosivity data. However, the scarcity of gauge records inherent uncertainty in satellite reanalysis-based datasets limit assessment globally. Here, we present a new global dataset (0.1° × 0.1° spatial resolution) integrating (CMORPH IMERG) reanalysis (ERA5-Land) derived estimates with observations collected from...
CLIGEN is a stochastic weather generator that creates statistically representative timeseries of daily and sub-daily point-scale variables from observed monthly statistics other parameters. precipitation are used as climate input for various risk-assessment modelling applications an alternative to observe long-term, high temporal resolution records. Here, we queried gridded global datasets (TerraClimate, ERA5, GPM-IMERG, GLDAS) estimate 20-year obtain complete parameter sets with coverage...
Stochastic weather generators create time series that reproduce key dynamics present in long-term observations. The dataset detailed herein is a large-scale gridded parameterization for CLImate GENerator (CLIGEN) fills spatial gaps the coverage of existing regional CLIGEN parameterizations, thereby obtaining near-global availability combined coverages. This primarily covers countries north 40° latitude with 0.25° resolution. Various parameters were estimated based on 20-year records from...
<b><sc>Abstract.</sc></b> Almost 20 years of observed 1-minute weather data from the most complete and longest operational NOAA Automated Surface Observation Station (ASOS) network station were used to prepare seven climate inputs (the raw, unadjusted, quality checked, gap-filled gauge six temporal aggregations same data) Water Erosion Prediction Project (WEPP) model. The nearest stations both old (1995) new (2015) CLIGEN databases also compare corresponding soil loss predictions WEPP as it...
Recent observations and projections of climate change are expected to amplify erosion rates around the globe due changes in rainfall characteristics (e.g., energy, intensity, duration, frequency), which determine erosive power rainfall. However, degree extent these future still largely unknown, especially at finer-resolution local scales. Previous studies have relied on aggregated data or erosivity density-based extrapolations for estimations a lack available projected sub-hourly data. This...
<b><sc>Abstract.</sc></b> Climate change is expected to erosion rates as the erosive power of rainfall will most likely due changes in characteristics (e.g., intensity, duration, frequency, and subsequently energy). Since erosivity greatly affected by it that be altered well. Few studies have estimated impact future climate on across US or around world. Furthermore, previously published indices (based historic data) discrepancies differences methodologies (primarily omission small low...
Highlights An international dataset of simulated breakpoint precipitation climate stations was used to overcome the limitations fixed-interval in global soil erosion applications. The validated against collocated high-quality, high-resolution data from a ground network and other sources. process-based Rangeland Hydrology Erosion Model (RHEM) predict based on classifications properties. Critical factors RHEM scenarios were identified their ability rates. Abstract . Recent research has...