HydEF Project: Thames Catchment Daily Weather Data for Hydrological Modeling

The HydEF project produced a daily weather dataset to support hydrological modeling of the Thames catchment using the JULES land surface model. It contains daily values for seven weather variables: air pressure, precipitation, wind speed, air temperature, wet bulb temperature, short wave radiation, and cloud cover. The dataset was developed from the Met Office MIDAS archive by the British Geological Survey.

Use Cases

• Calibrating multisite, multivariate weather generators based on the seven daily weather variables.
• Providing inputs for the JULES land surface model based on station and gridded weather data.
• Analyzing hydrological extremes and feedbacks in the Thames catchment based on daily meteorological records.
• Studying the impact of topographic information on weather patterns in the Kennet subcatchment.

Strengths

• Contains seven distinct daily weather variables for hydrological analysis.
• Provides data both at station locations and over a 5x5km2 grid for the Kennet subcatchment.
• Includes topographic and other relevant location information.

Limitations

• Weather data contains many missing values with no interpolation, which could impact analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

British Geological Survey (BGS), derived from the Met Office Integrated Data Archive System (MIDAS).

Collection Method

Developed to enable calibration of weather generators using the Rglimclim software package.

Time Range

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Freshness

Last updated 2026-04-09 08:33:12.684090; freshness should be verified.

Geography

Thames catchment, with specific focus on the Kennet subcatchment in the UK.