Implementation of the urban parameterization scheme in the Delhi model with an improved urban morphology

Anurose, T. J., Jayakumar, A., Gupta, Kshama, Mohandas, Saji, Hendry, Margaret A., Smith, Daniel K. E. ORCID: https://orcid.org/0000-0003-0818-672X, Francis, Timmy, Bhati, Shweta, Parde, Avinash N., Mohan, Manju, Mitra, A. K., Gupta, Prasun Kumar, Chauhan, Prakash, Jenamani, R. and Ghude, Sachin (2022) Implementation of the urban parameterization scheme in the Delhi model with an improved urban morphology. Quarterly Journal of the Royal Meteorological Society. ISSN 0035-9009

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Abstract

The current study highlights the importance of a detailed representation of urban processes in numerical weather prediction models and emphasizes the need for accurate urban morphology data for improving the near-surface weather prediction over Delhi, a tropical Indian city. The Met Office Reading Urban Surface Exchange Scheme (MORUSES), a two-tile urban energy-budget parameterization scheme, is introduced in a high-resolution (330-m) model of Delhi. A new empirical relationship is established for the MORUSES scheme from the local urban morphology of Delhi. The performance is evaluated using both the newly developed empirical relationships (MORUSES-IND) and the existing empirical relationships for the MORUSES scheme (MORUSES-LON) against the default one-tile configuration (BEST-1t) for clear and foggy events and validations are performed against ground observations. MORUSES-IND exhibits a significant improvement in the diurnal evolution of the wind speed in terms of amplitude and phase, compared with the other two configurations. Screen temperature ((Formula presented.)) simulations using MORUSES-IND reduce the warm bias, especially during the evening and night hours. The root-mean-square error of (Formula presented.) is reduced up to 29% using MORUSES-IND for both synoptic conditions. The diurnal cycle of surface-energy fluxes is reproduced well using MORUSES-IND. The net longwave fluxes are underestimated in the model and biases are more significant during foggy events, partly due to the misrepresentation of fog. An urban cool island (UCI) effect is observed in the early morning hours during clear-sky conditions, but it is not evident on foggy days. Compared with BEST-1t, MORUSES-IND represents the impact of urbanization more realistically, which is reflected in the reduction of the urban heat island and UCI in both synoptic conditions. Future works would improve the coupling between the urban surface energy budget and anthropogenic aerosols by introducing MORUSES-IND in a chemistry aerosol framework model.

Item Type: Article
Additional Information: Funding Information: This work was conducted through the “Weather and Climate Science for Service Partnership India”, (WCSSP)–India, a collaborative initiative between the Indian Ministry of Earth Sciences (MoES) and the Met Office, supported by the UK Government's Newton Fund. The authors thank Huw Lewis and Sylvia Bohnenstengel for scientific discussions. Observational data for the fog day are obtained as part of the winter fog experiment (WIFEX) campaign conducted in collaboration with MoES, the Indian Institute of Tropical Meteorology and India Meteorological Department. Publisher Copyright: © 2022 Crown copyright. Quarterly Journal of the Royal Meteorological Society © 2022 Royal Meteorological Society. This article is published with the permission of the Controller of HMSO and the King's Printer for Scotland.
Uncontrolled Keywords: delhi model,moruses,surface energy balance,urban heat island,urban parameterization,atmospheric science,sdg 11 - sustainable cities and communities ,/dk/atira/pure/subjectarea/asjc/1900/1902
Faculty \ School: Faculty of Science > School of Environmental Sciences
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Depositing User: LivePure Connector
Date Deposited: 13 Oct 2022 09:33
Last Modified: 15 Dec 2022 03:39
URI: https://ueaeprints.uea.ac.uk/id/eprint/89028
DOI: 10.1002/qj.4382

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