A5042659508- Fire effects on ecosystems
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Climate variability and models
- Flood Risk Assessment and Management
- Water resources management and optimization
- Water-Energy-Food Nexus Studies
- Meteorological Phenomena and Simulations
- Water Systems and Optimization
- Landslides and related hazards
- Fire dynamics and safety research
- Fire Detection and Safety Systems
- Hydrological Forecasting Using AI
- Groundwater flow and contamination studies
- Atmospheric and Environmental Gas Dynamics
- Air Quality and Health Impacts
- Rangeland and Wildlife Management
- Plant Water Relations and Carbon Dynamics
- Markov Chains and Monte Carlo Methods
- Precipitation Measurement and Analysis
- Hydrology and Sediment Transport Processes
- Transboundary Water Resource Management
- Nuclear reactor physics and engineering
- Water Quality Monitoring Technologies
- Urban Stormwater Management Solutions
Boise State University
2017-2025
United Nations University Institute for Water, Environment, and Health
2023-2025
Jawaharlal Nehru Technological University, Kakinada
2024
National Institute of Technology Karnataka
2024
Bureau of Land Management
2023
NationsUniversity
2023
University of the Witwatersrand
2023
University of California, Irvine
2013-2020
Irvine University
2013-2020
University of California System
2011
Climate extremes threaten human health, economic stability, and the well-being of natural built environments (e.g., 2003 European heat wave). As world continues to warm, climate hazards are expected increase in frequency intensity. The impacts extreme events will also be more severe due increased exposure (growing population development) vulnerability (aging infrastructure) settlements. models attribute part projected increases intensity disasters anthropogenic emissions changes land use...
Rising global temperatures are causing increases in the frequency and severity of extreme climatic events, such as floods, droughts, heat waves. We analyze changes summer temperatures, frequency, severity, duration waves, heat-related mortality India between 1960 2009 using data from Meteorological Department. Mean across have risen by more than 0.5°C over this period, with statistically significant Using a novel probabilistic model, we further show that increase mean period corresponds to...
Abstract We present a newly developed Multivariate Copula Analysis Toolbox (MvCAT) which includes wide range of copula families with different levels complexity. MvCAT employs Bayesian framework residual‐based Gaussian likelihood function for inferring parameters and estimating the underlying uncertainties. The contribution this paper is threefold: (a) providing to approximate predictive uncertainties fitted copulas, (b) introducing hybrid‐evolution Markov Chain Monte Carlo (MCMC) approach...
Compound dry-hot events enlarge homogenously due to teleconnected land-atmosphere feedbacks.
Abstract Traditional, mainstream definitions of drought describe it as deficit in water‐related variables or water‐dependent activities (e.g., precipitation, soil moisture, surface and groundwater storage, irrigation) due to natural variabilities that are out the control local decision‐makers. Here, we argue within coupled human‐water systems, must be defined understood a process opposed product help better frame complex interrelated dynamics both human‐induced changes define anthropogenic...
Abstract Compound extremes correspond to events with multiple concurrent or consecutive drivers (e.g., ocean and fluvial flooding, drought, heat waves) leading substantial impacts such as infrastructure failure. In many risk assessment design applications, however, multihazard scenarios of compound are ignored. this paper, we review the existing multivariate hazard scenario concepts introduce a novel copula‐based weighted average threshold for an expected event drivers. The model can be used...
Significance Iran is facing a state of water bankruptcy that threatens its socioeconomic development and natural environments. Using an exceptionally rich measured groundwater dataset, we illustrate the extent severity Iran’s depletion salinization problems during 2002 to 2015 period, when number extraction points nearly doubled. nonrenewable withdrawal was about 66 million m 3 in 1965, which cumulatively grew approximately 133 × 10 2019. This increase 3.4 times capacity famous Three Gorges...
Significance Forest fires of the western United States have advanced upslope over past few decades, scorching territories previously too wet to burn. We document an advancement high-elevation 7.6 m/y, a rate comparable elevational velocity vapor pressure deficit 8.9 m/y. Strong interannual links between aridity and forest reduced influence fire exclusion policies in montane mesic forests imply such changes are byproduct climate warming. estimate that increased 1984 2017 exposed additional...
Abstract A warming climate is associated with increasing hydroclimatic extremes, which are often interconnected through complex processes, prompting their concurrence and/or succession, and causing compound extreme events. It critical to analyze the risks of events, given disproportionately high adverse impacts. To account for variability in two or more variables (e.g., temperature precipitation) dependence, a rising number publications focuses on multivariate analysis, among notion...
Abstract Adaptation is key to minimizing heatwaves' societal burden; however, our understanding of adaptation capacity across the socioeconomic spectrum incomplete. We demonstrate that observed heatwave trends in past four decades were most pronounced lowest‐quartile income region world resulting >40% higher exposure from 2010 2019 compared highest‐quartile region. Lower‐income regions have reduced adaptative warming, which compounds impacts exposure. also show individual contiguous...
Abstract Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum recent years. However, these ML largely evolved ‘isolation’ from the mechanistic, process‐based modelling (PBM) paradigms, which historically been cornerstone of scientific discovery policy support. In this perspective, we assert that cultural barriers between PBM communities limit potential ML, even its ‘hybridization’ with PBM, for EES applications. Fundamental, but often...
Abstract Effective wildfire prevention includes actions to deliberately target different causes. However, the cause of an increasing number wildfires is unknown, hindering targeted efforts. We developed a machine learning model ignition across western United States on basis physical, biological, social, and management attributes associated with wildfires. Trained from 1992 2020 12 known causes, overall accuracy our exceeded 70% when applied out‐of‐sample test data. Our more accurately...
The ever increasing pace of computational power, along with continued advances in measurement technologies and improvements process understanding has stimulated the development increasingly complex hydrologic models that simulate soil moisture flow, groundwater recharge, surface runoff, root water uptake, river discharge at different spatial temporal scales. Reconciling these high‐order system perpetually larger volumes field data is becoming more difficult, particularly because classical...
Abstract The quest for a more powerful method model evaluation has inspired Vrugt and Sadegh (2013) to introduce “likelihood‐free” inference as vehicle diagnostic evaluation. This class of methods is also referred Approximate Bayesian Computation (ABC) relaxes the need residual‐based likelihood function in favor one or multiple different summary statistics that exhibit superior power. Here we propose several methodological improvements over commonly used ABC sampling permit complex system...
The rapid shrinkage of Lake Urmia, one the world's largest saline lakes located in northwestern Iran, is a tragic wake-up call to revisit principles water resources management based on socio-economic and environmental dimensions sustainable development. overarching goal this paper set framework for deriving dynamic, climate-informed inflows drying considering both meteorological/climatic anthropogenic conditions. We report compounding effects meteorological drought unsustainable resource...
Abstract Several very large high‐impact fires burned nearly 4,000 km 2 of mesic forests in western Oregon during September 7–9, 2020. While infrequent, high‐severity have occurred historically Oregon, the extreme nature this event warrants analyses climate and meteorological drivers. A strong blocking pattern led to an intrusion dry air downslope east winds Cascades following a warm‐dry 60‐day period that promoted widespread fuel flammability. Viewed independently, both dryness were extreme,...
Fire is an integral component of ecosystems globally and a tool that humans have harnessed for millennia. Altered fire regimes are fundamental cause consequence global change, impacting people the biophysical systems on which they depend. As part newly emerging Anthropocene, marked by human-caused climate change radical changes to ecosystems, danger increasing, fires having increasingly devastating impacts human health, infrastructure, ecosystem services. Increasing vexing problem requires...
Despite major improvements in weather and climate modelling substantial increases remotely sensed observations, drought prediction remains a challenge. After review of the existing methods, we discuss research gaps opportunities to improve prediction. We argue that current approaches are top-down, assuming process(es) and/or driver(s) known—i.e. starting with model then imposing it on observed events (reality). With help an experiment, show there develop bottom-up models—i.e. from reality...