Data Library

NCIC gridded observation datasets

Gridded data sets based on surface observations are generated for a range of climatic variables. The data sets cover the UK at 5 km × 5 km resolution. They are available for daily and monthly timescales.

Perry, M., and Hollis, D., 2006: The generation of monthly gridded datasets for a range of climatic variables over the United Kingdom. Exeter, Met Office.

Perry, M., Hollis, D., and Elms, M., 2009: The generation of daily gridded datasets of temperature and rainfall for the UK. Climate Memorandum No. 24, National Climate Information Centre. Exeter, Met Office.


MIDAS is the Met Office’s permanent archive of surface observations from conventional in situ instrumentation (thermometers, rain gauges, anemometers, sunshine recorders, etc.). MIDAS holds all primary observational data plus several derived quantities. It also holds some supporting information e.g. station names, locations and altitudes. It contains: land surface, marine surface and upper air data; hourly, daily and monthly data; data from synoptic stations, climate stations, rainfall stations, buoys, etc.; UK and overseas data; observations of temperature, rainfall, wind, sun, humidity, snow, radiation, etc.

For storage on MEDMI, MIDAS datasets are split into three parts following the MIDAS Handbook chapters: land surface data (A9.2), marine (A9.3) and upper air (A9.4).


The AURN is the UK’s largest automatic monitoring network. It includes automatic air quality monitoring stations measuring oxides of nitrogen (NOx), sulphur dioxide (SO2), ozone (O3), carbon monoxide (CO) and particles (PM10, PM2.5). These sites provide high resolution hourly information.

AURN data is publicly available from

Stratospheric ozone

Stratospheric ozone data is publicly available from

SGSS Data 

MEDMI holds data from Public Health England’s Second Generation Surveillance System (SGSS) on 46 infectious diseases that were identified as showing seasonality.  The data is for England and Wales and covers a 25 year period from 1989 to 2013.  The data includes laboratory postcode, age and sex of patient, date of diagnosis and date of analysis.

Pathogens include: Alternaria, Actinomyces, Aeromonas, Aspergillus niger, Astrovirus, Bacillus cereus, Bordetella pertussis, Borrelia burgdorferi, Campylobacter, Clostridium difficile, Coxiella burnetti, CoxsackieB, Cryptosporidium, Cyclospora, Enterococcus, Entamoeba, Enteroviruses, Escherichia, Giardia, Haemophilus influenza, Hepatitis viruses A & E, Human metapneumovirus, Influenza A & B, Legionella, Leptospira, Listeria, Moraxella catarrhalis, Mumps, Mycoplasma pneumoniae, Norovirus, Neisseria meningitidis, Orf virus, Parainfluenza, Paramyxovirus, Parvovirus B19, Pasteurella, Plasmodium, Reoviruses, Rotavirus, RSV, Rubella, Salmonella, Staphylococcus, Stenotrophomonas, Trichophyton, Vibrio.