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.
Forecast Content - HIRLAM
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:
http://fmi-opendata-silam-surface-netcdf.s3-website-eu-west-1.amazonaws.com/
http://fmi-opendata-silam-surface-zarr.s3-website-eu-west-1.amazonaws.com/
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