Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1427-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1427-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
15 Mar 2021
Development and technical paper |
| 15 Mar 2021
| 15 Mar 2021
Effects of spatial resolution on WRF v3.8.1 simulated meteorology over the central Himalaya
Jaydeep Singh
Aryabhatta Research Institute of observational sciencES (ARIES),
Nainital, India
Aryabhatta Research Institute of observational sciencES (ARIES),
Nainital, India
Narendra Ojha
Physical Research Laboratory, Ahmedabad, India
Amit Sharma
Department of Civil and Infrastructure Engineering, Indian Institute
of Technology Jodhpur, Jodhpur, India
Department of Atmospheric Chemistry, Max Planck Institute for
Chemistry, Mainz, Germany
Earth System Physics Section, International Centre for Theoretical
Physics, Trieste, Italy
Nadimpally Kiran Kumar
Space Physics Laboratory, Vikram Sarabhai Space Centre,
Thiruvananthapuram, India
Kunjukrishnapillai Rajeev
Space Physics Laboratory, Vikram Sarabhai Space Centre,
Thiruvananthapuram, India
Sachin S. Gunthe
EWRE Division, Department of Civil Engineering, Indian Institute of
Technology Madras, Chennai, India
V. Rao Kotamarthi
Environmental Science Division, Argonne National Laboratory, Argonne,
Illinois, USA
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Cited
20 citations as recorded by crossref.
- Improved parameterization of snow albedo in Noah coupled with Weather Research and Forecasting: applicability to snow estimates for the Tibetan Plateau L. Liu et al. 10.5194/hess-25-4967-2021
- Impacts of different boundary layer parameterization schemes on simulation of meteorology over Himalaya J. Singh et al. 10.1016/j.atmosres.2023.107154
- Exploring the potential of machine learning for simulations of urban ozone variability N. Ojha et al. 10.1038/s41598-021-01824-z
- Daytime along-valley winds in the Himalayas as simulated by the Weather Research and Forecasting (WRF) model J. Mikkola et al. 10.5194/acp-23-821-2023
- Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain T. Xu et al. 10.3390/atmos15030277
- Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau W. Liu et al. 10.1038/s41612-023-00392-5
- Meteorological Analysis and Damage Survey Study of the Impact of Hurricane Elsa in Barbados S. Sandiford et al. 10.1061/NHREFO.NHENG-1843
- Spatiotemporal modeling of air pollutant concentrations in Germany using machine learning V. Balamurugan et al. 10.5194/acp-23-10267-2023
- Insights of Boundary Layer Turbulence Over the Complex Terrain of Central Himalaya from GVAX Field Campaign A. Rajput et al. 10.1007/s13143-023-00341-5
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- Impact of boundary layer parameterizations on simulated seasonal meteorology over North-East India N. Barman et al. 10.1016/j.dynatmoce.2024.101505
- The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF A. de Meij et al. 10.3390/atmos13071050
- Variability in coastal downwelling circulation in response to high-resolution regional atmospheric forcing off the Pearl River estuary W. Lai & J. Gan 10.5194/os-19-1107-2023
- Importance of ozone precursors information in modelling urban surface ozone variability using machine learning algorithm V. Balamurugan et al. 10.1038/s41598-022-09619-6
- Numerical Simulation of Winter Precipitation over the Western Himalayas Using a Weather Research and Forecasting Model during 2001–2016 P. Punde et al. 10.3390/cli10110160
- Comprehensive evaluation of typical planetary boundary layer (PBL) parameterization schemes in China – Part 2: Influence of uncertainty factors W. Jia et al. 10.5194/gmd-16-6833-2023
- Investigation of atmospheric turbulence and scale lengths using radiosonde measurements of GVAX-campaign over central Himalayan region A. Rajput et al. 10.1016/j.jastp.2022.105895
- Comparison of 24 h Surface Ozone Forecast for Poland: CAMS Models vs Simple Statistical Models with Limited Number of Input Parameters I. Pawlak et al. 10.3390/atmos14040670
- Bias-corrected climate change projections over the Upper Indus Basin using a multi-model ensemble J. Bashir & S. Romshoo 10.1007/s11356-023-26898-2
- Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations J. Siewert & K. Kroszczynski 10.3390/rs15092389
20 citations as recorded by crossref.
- Improved parameterization of snow albedo in Noah coupled with Weather Research and Forecasting: applicability to snow estimates for the Tibetan Plateau L. Liu et al. 10.5194/hess-25-4967-2021
- Impacts of different boundary layer parameterization schemes on simulation of meteorology over Himalaya J. Singh et al. 10.1016/j.atmosres.2023.107154
- Exploring the potential of machine learning for simulations of urban ozone variability N. Ojha et al. 10.1038/s41598-021-01824-z
- Daytime along-valley winds in the Himalayas as simulated by the Weather Research and Forecasting (WRF) model J. Mikkola et al. 10.5194/acp-23-821-2023
- Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain T. Xu et al. 10.3390/atmos15030277
- Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau W. Liu et al. 10.1038/s41612-023-00392-5
- Meteorological Analysis and Damage Survey Study of the Impact of Hurricane Elsa in Barbados S. Sandiford et al. 10.1061/NHREFO.NHENG-1843
- Spatiotemporal modeling of air pollutant concentrations in Germany using machine learning V. Balamurugan et al. 10.5194/acp-23-10267-2023
- Insights of Boundary Layer Turbulence Over the Complex Terrain of Central Himalaya from GVAX Field Campaign A. Rajput et al. 10.1007/s13143-023-00341-5
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- Impact of boundary layer parameterizations on simulated seasonal meteorology over North-East India N. Barman et al. 10.1016/j.dynatmoce.2024.101505
- The Impact of High-Resolution SRTM Topography and Corine Land Cover on Lightning Calculations in WRF A. de Meij et al. 10.3390/atmos13071050
- Variability in coastal downwelling circulation in response to high-resolution regional atmospheric forcing off the Pearl River estuary W. Lai & J. Gan 10.5194/os-19-1107-2023
- Importance of ozone precursors information in modelling urban surface ozone variability using machine learning algorithm V. Balamurugan et al. 10.1038/s41598-022-09619-6
- Numerical Simulation of Winter Precipitation over the Western Himalayas Using a Weather Research and Forecasting Model during 2001–2016 P. Punde et al. 10.3390/cli10110160
- Comprehensive evaluation of typical planetary boundary layer (PBL) parameterization schemes in China – Part 2: Influence of uncertainty factors W. Jia et al. 10.5194/gmd-16-6833-2023
- Investigation of atmospheric turbulence and scale lengths using radiosonde measurements of GVAX-campaign over central Himalayan region A. Rajput et al. 10.1016/j.jastp.2022.105895
- Comparison of 24 h Surface Ozone Forecast for Poland: CAMS Models vs Simple Statistical Models with Limited Number of Input Parameters I. Pawlak et al. 10.3390/atmos14040670
- Bias-corrected climate change projections over the Upper Indus Basin using a multi-model ensemble J. Bashir & S. Romshoo 10.1007/s11356-023-26898-2
- Evaluation of High-Resolution Land Cover Geographical Data for the WRF Model Simulations J. Siewert & K. Kroszczynski 10.3390/rs15092389
Latest update: 20 Nov 2024
Short summary
Atmospheric models often have limitations in simulating the geographically complex and climatically important central Himalayan region. In this direction, we have performed regional modeling at high resolutions to improve the simulation of meteorology and dynamics through a better representation of the topography. The study has implications for further model applications to investigate the effects of anthropogenic pressure over the Himalaya.
Atmospheric models often have limitations in simulating the geographically complex and...
