Monthly NH3 emissions

Produced by

KNMI

Data type

Gridded

Horizontal coverage

Europe (west=9.9° W, east=29.9° E, south=35.1° N, north=54.9° N)

Horizontal resolution

0.2° x 0.2°

Temporal resolution

Monthly

Temporal coverage

2020-2022

Model

DECSO v6.2

File format

Zarr

Download the data

https://data.seedsproject.eu/seeds_monthly-nh3-emissions_knmi_20200101-20221231_decso_v1/dataset.zarr

How to download the data?

Variables

Click on a variable to see it on the viewer.

NH3 emissions derived from CrIS

nh3

NH3 emissions derived from CrIS (alt)

nh3_alt

Description

Monthly emissions by the DECSO algorithm from CrIS observation.

Citation

KNMI. (2024). Monthly NH3 emissions [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10731815

Download instructions

This sample Python code shows how to download this dataset, create subsets of it and save them as NetCDF, using the Xarray library.

import xarray as xr
import fsspec

# Open remote dataset
ds = xr.open_zarr(
  store=fsspec.get_mapper("https://data.seedsproject.eu/seeds_monthly-nh3-emissions_knmi_20200101-20221231_decso_v1/dataset.zarr")
)

# Subset a time range, save as NetCDF
time_subset = ds.nh3.sel(time=slice('2019-06-01', '2019-07-01'))
time_subset.to_netcdf('./nh3_time_subset.nc')

# Subset a time and geographical range, save as NetCDF
time_geo_subset = ds.nh3.sel(time=slice('2019-06-01', '2019-07-01'), latitude=slice(40, 43), longitude=slice(0,3.5))
time_geo_subset.to_netcdf('./nh3_time_geo_subset.nc')