A5101589792- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Climate variability and models
- Wind and Air Flow Studies
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Geophysics and Gravity Measurements
- Tropical and Extratropical Cyclones Research
- Remote Sensing in Agriculture
- Urban Green Space and Health
- Climate change and permafrost
- Numerical methods for differential equations
- Fluid Dynamics and Turbulent Flows
- Atmospheric chemistry and aerosols
Hong Kong University of Science and Technology
2019-2024
University of Hong Kong
2019-2024
Savitribai Phule Pune University
2024
India Meteorological Department
2024
Realistically representing the vertical turbulent transport of surface layer fluxes dealt with by planetary boundary (PBL) scheme is paramount importance in a numerical weather forecasting model. Further complexity arises due to presence heterogeneous obstacles whose height can be comparable model's resolution, which poses challenge improving and revisiting PBL scheme. In this presentation, we derive method couple one recently validated kinetic energy (TKE)-based non-local schemes, namely...
The European Space Agency recently launched the Sentinel mission to perform terrestrial observations in support of tasks such as monitoring forests, detecting land-cover changes, and managing natural disasters. resolution these satellite images can be high 10 m depending on bands. In this study, we used red near-infrared bands 10-m from Sentinel-2 calculate Normalized Difference Vegetation Index (NDVI) estimate green vegetation fraction urban areas within Pearl River Delta region (PRD). We...
Abstract In mesoscale Weather Research and Forecasting (WRF) model, several urban‐modeling options exist, such as Single‐layer Urban Canopy Model, Building Effect Parameterization, Energy Model. However, these models have limitations in terms of the choice land surface (LSMs) planetary boundary layer (PBL) schemes, associated computational expenses, other constraints. Recently, Dy et al. (2019, https://doi.org/10.1029/2018JD029333 ) included urban‐momentum drag effect for wind‐speed modeling...
Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions roughness sublayer. This study implemented coupled WRF-Urban Asymmetric Convective Model (WRF-UACM) for Delhi, India, integrating explicit physics with Sentinel-updated USGS land-use and morphological parameters derived from UT-GLOBUS dataset. When evaluated against baseline (WRF-BACM) using Winter Fog Experiment (WiFEX) data, WRF-UACM...
Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions roughness sublayer. This study implemented coupled WRF-Urban Asymmetric Convective Model (WRF-UACM) for Delhi, India, integrating explicit physics with Sentinel-updated USGS land-use and morphological parameters derived from UT-GLOBUS dataset. When evaluated against baseline (WRF-BACM) using Winter Fog Experiment (WiFEX) data, WRF-UACM...
Abstract Planetary boundary layer (PBL) modeling is a primary contributor to uncertainties in numerical weather prediction (NWP) model due difficulties the turbulent transport of surface fluxes. The Weather Research and Forecasting (WRF) has provided many PBL schemes that may feature non‐local component driven by large eddies or one‐and‐half order turbulence closure model, but few them possess two features at once. In present study, kinetic energy (TKE)‐based eddy diffusivity/viscosity...
Abstract Accurate fog prediction in densely urbanized cities poses a challenge due to the complex influence of urban morphology on meteorological conditions roughness sublayer. This study implemented coupled WRF‐Urban Asymmetric Convective Model (WRF‐UACM) for Delhi, India, integrating explicit physics with Sentinel‐updated USGS land‐use and morphological parameters derived from UT‐GLOBUS dataset. When evaluated against baseline (WRF‐BACM) using Winter Fog Experiment (WiFEX) data, WRF‐UACM...
Abstract. Understanding and modeling the turbulent transport of surface layer fluxes plays a critical role in numerical weather forecasting model. The presence heterogeneous obstacles (buildings) that have dimensions comparable to model vertical resolution requires further complexity design planetary boundary (PBL) scheme. In this study, we develop method couple one recently validated PBL schemes, TKE-ACM2, with multi-layer Building Effect Parameterization (BEP) WRF. Subsequently,...
Planetary boundary layer (PBL) modeling is a primary contributor to uncertainties in numerical weather prediction model due difficulties the turbulent transport of surface fluxes. The Weather Research and Forecasting (WRF) has included many PBL schemes which may feature non-local component driven by super-grid eddies or one-and-half order turbulence closure model. In present study, kinetic energy (TKE)-based integrated into Asymmetric Convective Model version 2 (ACM2) scheme implemented WRF....