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

• Published in: Atmospheric science letters 2024-08, Vol.25 (8), p.n/a
• Main Authors: Cooper, Elizabeth, Charlton‐Perez, Cristina, Ellis, Rich
• Format: Article
• Language: English
• Subjects: Atmospheric convection; Convection; Cosmos; Data analysis; Data assimilation; Data collection; Hydrologic forecasting; Hydrology; Hydrometeorology; Impact analysis; land‐atmosphere < 13. Geophysical sphere; Moisture content; Moisture control; observations < 10. Tools and methods; Precipitation; Rainfall; regional and mesoscale modelling < 10. Tools and methods; Remote sensing; River flow; River forecasting; Rivers; Snow; Soil; Soil analysis; Soil improvement; Soil moisture; Soil moisture measurements; Soil temperature; Surface runoff; surface‐based observations < 10. Tools and methods; Temperature; Temperature requirements; Water resources; Water resources research; Weather; Weather forecasting
• ISSN: 1530-261X; 1530-261X
• DOI: 10.1002/asl.1236

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. Field‐scale observations of soil moisture from cosmic‐ray neutron sensors in the COSMOS‐UK network are compared to soil moisture analyses from the Met Office's operational regional modelling system. Results show that the model did a good job in the dry summer of 2018 at sites across the Unit