Comparison of Met Office regional model soil moisture with COSMOS‐UK field‐scale in situ observations

Cooper, Elizabeth ORCID: https://orcid.org/0000-0002-1575-4222; Charlton‐Perez, Cristina; Ellis, Rich. 2024 Comparison of Met Office regional model soil moisture with COSMOS‐UK field‐scale in situ observations. Atmospheric Science Letters, 25 (8), e1236. 10, pp. 10.1002/asl.1236

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Official URL: https://doi.org/10.1002/asl.1236

Abstract/Summary

The UK Met Office state-of-the-art, deterministic, convection-permitting, coupled land-atmosphere, regional weather forecasting system, known as the UKV or UK Variable resolution model (Tang et al. Meteorological Applications, 2013; 20:417–426), has been operational since 2015. Science updates are regularly made to the UKV land surface data assimilation scheme when those updates improve predictions of screen temperature and humidity, since these quantities have a direct impact on atmospheric states and weather forecasts. Less attention has been paid to whether UKV soil moisture analyses are close to independent, in-situ soil moisture observations, partly because it is difficult to make meaningful comparisons between 1.5 km2 gridded model outputs and traditional point sensor measurements. Soil moisture is recognized to be important when hydrological forecasts for runoff and rivers are required. This is because soil moisture controls the extent to which rainfall can infiltrate the soil, and the amount of surface runoff affects the timing of peak river flows (Ward & Robinson, Principles of Hydrology. McGraw-Hill Publishing Company; 2000; Singh et al. Water Resources Research, 2021, 57, e2020WR028827). Gómez et al. (Remote Sensing, 2020; 12:3691) report benefits to river flow forecasts when using soil moisture data assimilation in the UKV system instead of a daily downscaled product from the Met Office global model. The Met Office measures soil temperature and soil moisture at Cardington (Osborne & Weedon, Journal of Hydrometeorology, 2021, 22:279–295); there is no other UK Met Office site at which soil moisture is measured. In this study, we use field-scale (~200 m radius) soil moisture measurements from the UK Centre for Ecology and Hydrology's (UKCEH's) COSMOS-UK network to provide independent verification and analysis of UKV soil moisture during summer 2018, an unusually dry period in the United Kingdom. We find that the match to COSMOS-UK soil moisture observations is generally good, and that changes made to the land data assimilation approach during a recent operational upgrade had a generally beneficial impact on UKV soil moisture analyses under very dry conditions.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1002/asl.1236
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	1530-261X
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	land-atmosphere, geophysical sphere observations, regional and mesoscale modelling, surface-based observations
NORA Subject Terms:	Earth Sciences
Related URLs:	Dataset
Date made live:	11 Apr 2024 15:31 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/537261

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1002/asl.1236

UKCEH and CEH Sections/Science Areas:

Hydro-climate Risks (Science Area 2017-)

ISSN:

1530-261X

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

land-atmosphere, geophysical sphere observations, regional and mesoscale modelling, surface-based observations