FMI provides two data set in AWS S3: Hirlam numerical weather model and SILAM global weather model. The data are publicly accessible in S3.

SILAM Global Air Quality forecast

SILAM (System for Integrated modelLling of Atmospheric coMposition) is a global-to-meso-scale dispersion model developed for atmospheric composition, air quality, and emergency decision support applications, as well as for inverse dispersion problem solution.

The data is licenced by the Creative Commons Attribution 4.0 International license (CC BY 4.0).

FMI provides operational 20-km global AQ forecast of 7 regulated constituents for free download from AWS S3 bucket.

The 168-hour long forecast is generated once a day every evening with start time 00Z of previous day to accommodate the effect of actually observed emissions of e.g. forest fires. The forecast is available around 06:00 UTC next day with 121 hourly steps form 00Z D0.

Example presentation of SILAM Global Air Quality forecast

Content

The current horizontal resolution of the HIRLAM RCR model is 7.5 km. At present, the current operational setup produces daily four 54 hour regional forecasts for extended European area (Figure below). The model is initiated by the ECMWF boundary condition files.

The data is divided in two sets: surface data and pressure levels data. The surface level data provide data for surface of the earth and pressure level data for constant air pressure levels in the atmosphere. The following pressure levels are provided: 1000, 925, 850, 700, 500, 400, 300, 250, 200, 100, 50 hPa.

The data is in projection epsg:4326. Parameters

Following parameters are available in the surface data:

Parameter

GRIB ID

GRIB Name

Level Type

Other Information

Pressure

151

msl

meanSea

 

GeopHeight

256

Z

   

Temperature

167

2t

heightAboveGround

 

DewPoint

168

2d

heightAboveGround

 

Humidity

157

r

heightAboveGround

 

WindUMS

131

u

heightAboveGround

 

WindVMS

132

v

heightAboveGround

 

PrecipitationAmount

201113

rain_con

   

TotalCloudCover

164

N

244

 

LowCloudCover

186

Cl

214

 

MediumCloudCover

187

Cm

224

 

HighCloudCover

188

Ch

234

 

Precipitation1h

2059

rr1h

entireAtmosphere

 

MaximumWind

201187

MaximumWind

heightAboveGround

 

WindGust

29

WindGust

105

 

RadiationGlobalAccumulation

169

ssrd

 

"templatenumber": 8 / "aggregatetype" : "accum" / "aggregatelength" : 60

RadiationLWAccumulation

175

strd

 

"templatenumber": 8 / "aggregatetype" : "accum" / "aggregatelength" : 60

RadiationNetSurfaceLWAccumulation

177

str

 

"templatenumber": 8 / "aggregatetype" : "accum" / "aggregatelength" : 60

RadiationNetSurfaceSWAccumulation

228242

fdif

   

 

And following in the pressure level data:

Parameter

GRIB ID

GRIB Name

GeopHeight

256

Z

Temperature

167

2t

DewPoint

168

2d

Humidity

157

r

WindUMS

131

u

WindVMS

132

v

VelocityPotential

135

w

PseudoAdiabaticPotentialTemperature

3014

 

Accessing the Data on AWS

The data is uploaded into two AWS S3 Buckets:

  • fmi-opendata-silam-surface-netcdf (for surface data)

  • fmi-opendata-silam-surface-zarr (for pressure levels data)

Every model run is stored in separate directories divided into files based on parameters. Every file contains all valid times for one parameter and one model run.

Files are named with a convention:

silam_glob_v5_6_<year><month><day>_<parameter>_<forecast_day>.<format>

For example:

  • silam_glob_v5_6_20190819_CO_d0.zarr

  • silam_glob_v5_6_20190819_CO_d0.netcdf

The data is stored into following directory structure:

/global/<year><month><day>/

Where times are derived from origin time of the model run.

Content of the buckets can be browsed here:

SNS

Public Amazon SNS topics are available for every new object added to the Amazon S3.

  • arn:aws:sns:eu-west-1:916174725480:new-fmi-opendata-rcrhirlam-surface-grib

  • arn:aws:sns:eu-west-1:916174725480:new-fmi-opendata-rcrhirlam-pressure-grib

For more information on subscribing to SNS topics, visit http://docs.aws.amazon.com/sns/latest/dg/SubscribeTopic.html.

For more information on Amazon S3 event message structure, visit http://docs.aws.amazon.com/AmazonS3/latest/dev/notification-content-structure.html.

More Information

Silam home page: http://silam.fmi.fi

Some usage examples: https://github.com/fmidev/opendata-resources/tree/master/examples/python