Preprints
https://doi.org/10.5194/egusphere-2024-3824
https://doi.org/10.5194/egusphere-2024-3824
12 Feb 2025
 | 12 Feb 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Implementation of Water Tracers in the Met Office Unified Model

Alison J. McLaren, Louise C. Sime, Simon Wilson, Jeff Ridley, Qinggang Gao, Merve Gorguner, Giorgia Line, Martin Werner, and Paul Valdes

Abstract. There is an increasing need to understand how water is cycled and transported within the atmosphere to aid water management. Here, atmospheric water tracers are added to the Met Office Unified Model (UM) to allow tracking of water within the model. This requires the implementation of water tracers in the following parts of the model code: large-scale advection, surface evaporation, boundary layer mixing, large-scale precipitation (microphysics), large-scale clouds, stochastic physics and convection. A single water tracer is found to track all water in the model to a high degree of accuracy during a 35-year simulation; the differences are typically less than 10-16 kg kg-1 at the end of every timestep, prior to a very small adjustment to prevent the build up of numerical error. The increase in computing time for each water tracer is between 3.1 and 3.8 % depending on the model resolution. The model development is tested by using the water tracers to find the sources of precipitation in a historical UM simulation. As expected, the majority of precipitation is found to be sourced directly from the ocean, with the recycling of water over land becoming increasingly important downwind across continents. The UM results for the mean evaporative source properties of precipitation are comparable to those of the ECHAM6 atmospheric model, with some interesting local differences over Antarctica, Greenland and the Indian monsoon region. Finally, the components of the model’s global hydrological cycle that can be derived from the water tracers are presented to illustrate the additional information that can be provided from the new development.

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Alison J. McLaren, Louise C. Sime, Simon Wilson, Jeff Ridley, Qinggang Gao, Merve Gorguner, Giorgia Line, Martin Werner, and Paul Valdes

Status: open (until 10 Apr 2025)

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Alison J. McLaren, Louise C. Sime, Simon Wilson, Jeff Ridley, Qinggang Gao, Merve Gorguner, Giorgia Line, Martin Werner, and Paul Valdes
Alison J. McLaren, Louise C. Sime, Simon Wilson, Jeff Ridley, Qinggang Gao, Merve Gorguner, Giorgia Line, Martin Werner, and Paul Valdes

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Short summary
We describe a new development in a state-of-the-art computer atmosphere model, which follows the movement of the model’s water. This provides an efficient way to track all the model’s rain and snow back to the average location of the evaporative source as shown in a present-day simulation. The new scheme can be used in simulations of the future to predict how the sources of regional rain or snowfall may change due to human actions, providing useful information for water management purposes.
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