A5050226894- Meteorological Phenomena and Simulations
- Climate variability and models
- Energy Load and Power Forecasting
- Computational Physics and Python Applications
- Air Quality and Health Impacts
- Agricultural risk and resilience
- Cryospheric studies and observations
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Geophysics and Gravity Measurements
- Solar Radiation and Photovoltaics
University of Tsukuba
2022-2024
Ministry of Earth Sciences
2020
Indian Institute of Tropical Meteorology
2020
Air quality has become one of the most important environmental concerns for Delhi, India.In this perspective, we have developed a high-resolution air prediction system Delhi based on chemical data assimilation in transport model -Weather Research and Forecasting with Chemistry (WRF-Chem).The was applied to improve PM2.5 forecast via MODIS aerosol optical depth retrievals using threedimensional variational analysis scheme.Near real-time fire count were simultaneously adjust fire-emission...
Abstract. Post-processing methods such as univariate bias adjustment have been widely used to reduce the in individual variable. These are applied variables independently without considering inter-variable dependence. However, compound events, multiple atmospheric factors occur simultaneously or succession, leading more severe and complex impacts. Therefore, a multi-variable is necessary retain dependence between drivers. The present study focuses on of surface air temperature relative...
<p>Regional climate models (RCMs) are widely used to dynamically downscale the general circulation (GCMs). Downscaled products can provide a clearer understanding of atmospheric processes compared parent models. However, several uncertainties associated with downscaling, such as structural differences in and biases GCMs RCMs. Post-processing methods univariate bias correction have been reduce individual variable. these applied variables independently without considering...