A5085365196- Hydrology and Watershed Management Studies
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Remote Sensing in Agriculture
- Hydrological Forecasting Using AI
- Tropical and Extratropical Cyclones Research
- Geology and Paleoclimatology Research
- Soil Moisture and Remote Sensing
- Soil erosion and sediment transport
- Ecology and Vegetation Dynamics Studies
- Hydrology and Drought Analysis
- Oceanographic and Atmospheric Processes
- Ecosystem dynamics and resilience
- Groundwater and Watershed Analysis
- Water resources management and optimization
- Aeolian processes and effects
- Soil Geostatistics and Mapping
- Cryospheric studies and observations
- Tree Root and Stability Studies
- Solar Radiation and Photovoltaics
- Climate change impacts on agriculture
- Plant Ecology and Soil Science
- Climate change and permafrost
University of Technology Sydney
2022-2025
Indian Institute of Tropical Meteorology
2018-2024
Ministry of Earth Sciences
2019-2024
University of Newcastle Australia
2017-2024
University of Maryland, College Park
2011-2023
University of Delhi
2019-2023
Indian Institute of Technology Kharagpur
2017-2020
Cotton University
2019
National Centre for Medium Range Weather Forecasting
2019
National Institute of Advanced Studies
2019
With the limited availability of meteorological variables in many remote areas, estimation evapotranspiration (ET) at different spatiotemporal scales for efficient irrigation water management and hydrometeorological studies is becoming a challenging task. Hence, this study, indirect ET methods, such as moderate resolution imaging spectroradiometer (MODIS) satellite-based remote-sensing techniques water-budget approach built into semidistributed variable infiltration capacity (VIC-3L)...
Abstract In spite of the summer monsoon’s importance in determining life and economy an agriculture-dependent country like India, committed efforts toward improving its prediction simulation have been limited. Hence, a focused mission mode program Monsoon Mission (MM) was founded 2012 to spur progress this direction. This article explains made by Earth System Science Organization (ESSO), Ministry Sciences (MoES), Government implementing MM develop dynamical framework improve monsoon...
The Himalayas constitute one of the richest and most diverse ecosystems in Indian sub-continent. Vegetation greenness driven by climate Himalayan region is often overlooked as field-based studies are challenging due to high altitude complex topography. Although basic information about vegetation cover its interactions with different hydroclimatic factors vital, limited attention has been given understanding response climatic factors. main aim present study analyse relationship between...
Abstract Our current understanding of semiarid ecosystems is that they tend to display higher vegetation greenness on polar‐facing slopes (PFS) than equatorial‐facing (EFS). However, recent studies have argued can occur EFS during part the year. To assess whether this seasonal reversal aspect‐driven a common occurrence, we conducted global‐scale analysis monthly time scale over an 18‐year period (2000–2017). We examined influence climate seasonality normalized difference index (NDVI) values...
Abstract Previous studies on semi‐arid ecosystems have shown high values of soil moisture variability (SMV) primarily induced by the combined effects non‐uniform precipitation, incoming solar radiation, and vegetation properties. However, relative impact these various factors SMV has been difficult to evaluate due limited availability field data. In addition, only a number analysed role landscape morphology SMV. Here we use numerical simulations simple hydrological model, Bucket Grassland...
Abstract Topography affects the intensity and spatial distribution of precipitation due to orographic lifting mechanisms and, in turn, influences prevailing climate vegetation distribution. Previous modelling studies on impact landform evolution have considered bare soil conditions. However, research effect changes regimes induced by elevation gradients (particularly aspect‐controlled semi‐arid ecosystems) patterns, trying understand feedbacks consequences for coevolving vegetation, has been...
Abstract Despite the reduction in interannual variability and amplitude of El Nino Southern Oscillation (ENSO) after 2000, its influence on Indian summer monsoon rainfall (ISMR) is stronger than previous decades. Meanwhile, our analysis with high‐resolution Monsoon Mission Climate Forecast system (MMCFS, ~38 km horizontal resolution) indicates a sharp decrease ISMR skill ENSO–ISMR teleconnection since 2000 at long lead (3 months, Feb IC) hindcasts. At same time, intensified for short (1...
Forest inventory parameters play an important role in understanding various biophysical processes of forest ecosystems. The present study aims at integrating Terrestrial Laser Scanner (TLS) and ALOS PALSAR L-band Synthetic Aperture Radar (SAR) data to assess Aboveground Biomass (AGB) the Barkot Range, Uttarakhand, India. integration was performed overcome AGB saturation issue SAR for high biomass density area using 13 plots. Various parameters, namely, Gray-Level Co-Occurrence Matrix (GLCM)...
The techniques of hydrological modeling have greatly improved in the recent past and been instrumental management river basins [...]
Wet rainfall pulses control vegetation growth through evapotranspiration in most dryland areas. This topic has not been extensively analyzed with respect to the vast semi-arid ecosystems of Central Australia. In this study, we investigated water responses situ root zone soil moisture (SM) variations savanna woodlands (Mulga) Australia using satellite-based optical and thermal data. Specifically, used Land Surface Water Index (LSWI) derived from Advanced Himawari Imager on board 8 (AHI)...
Atmospheric transmissivity (τ) is a critical factor in climatology, which affects surface energy balance, measured at limited number of meteorological stations worldwide. With the availability datasets remote areas across different climatic regions, estimation τ becoming challenging task for adequate hydrological, climatic, and crop modeling studies. The solar radiation data comparatively less accessible on global scale than temperature precipitation datasets, makes it necessary to develop...
Mismanagement of fresh water is a primary concern that negatively impacts agricultural productivity. Judicious use in agriculture possible by estimating the optimal requirement. The present practice crop requirements using reference evapotranspiration (ET0) values, which considered standard method. Hence, predicting ET0 vital allocating and managing available resources. In this study, different machine learning (ML) algorithms, namely random forests (RF), extreme gradient boosting (XGB),...
The present study analyzes the geo-hydrological behaviour of Kashang khad basin satluj river system in Kinnaur district, Himachal Pradesh. major source water region is snowmelt, which contributes to evolution a drainage pattern. It highlights importance ASTER GDEM and satellite images for assessing understanding various parameters such as analysis, topographic analysis better management. Hydrological modelling ArcGIS 10.5 has been used delineation basins using SRTM DEM with 30 m resolution....
The potential of generalized machine learning models developed for crop water estimation was examined in the current study. Extreme Gradient Boosting (XGBoost), Machine (GBM), and Random Forest (RF) are three ensembled that were using all data from a single location 1976 to 2017 then immediately applied at eleven different locations without need any local calibration. For test period January 2018 June 2020, model's capacity estimate numerical values requirement (Pen-man-Monteith...
Increased population and increasing demands for food in the Indo-Gangetic plain are likely to exert pressure on fresh water due rise demand drinking irrigation water. The study focuses Bhojpur district, Bihar located central Ganga basin, assess groundwater quality purpose discuss issues challenges. Groundwater is mostly utilized area purposes (major crops sown rice wheat). There were around 45 samples collected across region pre-monsoon season (year 2019). chemical analytical results show...