Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors
Drought is a costly natural hazard with far-reaching impacts on agriculture, ecosystem, water
supply, and socio-economy. While propagating through the water cycle, drought evolves into …
supply, and socio-economy. While propagating through the water cycle, drought evolves into …
Impact of land uses, drought, flood, wildfire, and cascading events on water quality and microbial communities: A review and analysis
A Mishra, A Alnahit, B Campbell - Journal of Hydrology, 2021 - Elsevier
The increase in dynamic interactions between climate and human activities threatens water
security in terms of water quantity and quality. Most water security studies have focused on …
security in terms of water quantity and quality. Most water security studies have focused on …
Weather and climate extreme events in a changing climate
Caption: Table A. 11. 2. Synthesis table summarising assessments presented in Tables 11.4-
11.21 for hot extremes (HOT EXT.), heavy precipitation (HEAVY PRECIP.), agriculture and …
11.21 for hot extremes (HOT EXT.), heavy precipitation (HEAVY PRECIP.), agriculture and …
Global droughts connected by linkages between drought hubs
Quantifying the spatial and interconnected structure of regional to continental scale droughts
is one of the unsolved global hydrology problems, which is important for understanding the …
is one of the unsolved global hydrology problems, which is important for understanding the …
Multi-layer high-resolution soil moisture estimation using machine learning over the United States
L Karthikeyan, AK Mishra - Remote Sensing of Environment, 2021 - Elsevier
The lack of proper understanding of multi-layer soil moisture (SM) profile (signals) remains a
persistent challenge in sustainable agricultural water management and food security …
persistent challenge in sustainable agricultural water management and food security …
Stream water quality prediction using boosted regression tree and random forest models
Reliable water quality prediction can improve environmental flow monitoring and the
sustainability of the stream ecosystem. In this study, we compared two machine learning …
sustainability of the stream ecosystem. In this study, we compared two machine learning …
Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US
Incomplete representations of physical processes often lead to structural errors in process-
based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow …
based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow …
Deep learning in hydrology and water resources disciplines: Concepts, methods, applications, and research directions
KP Tripathy, AK Mishra - Journal of Hydrology, 2023 - Elsevier
Deep Learning (DL) methods have gained significant recognition in hydrology and water
resources applications in recent years. Beginning with a discussion on fundamental …
resources applications in recent years. Beginning with a discussion on fundamental …
Spatial patterns and drivers of nonperennial flow regimes in the contiguous United States
Over half of global rivers and streams lack perennial flow, and understanding the distribution
and drivers of their flow regimes is critical for understanding their hydrologic …
and drivers of their flow regimes is critical for understanding their hydrologic …
Drought propagation in contiguous US watersheds: A process‐based understanding of the role of climate and watershed properties
Drought impacts on the society and environment are influenced by how droughts propagate
through the hydrologic cycle; however, the physical processes involved in drought …
through the hydrologic cycle; however, the physical processes involved in drought …