Global high-resolution climate indices and statistics for agro-environmental research covering 1979 to 2023

Schneider, Kevin; Klinnert, Ana

Experiment
ERA5
Summary
This experiment provides a global dataset of agrometeorological and bioclimatic indicators for use by ecologists, agronomists, and environmental economists. The dataset is derived exclusively from the AgERA5 v2.0 reanalysis product (https://cds.climate.copernicus.eu/datasets/sis-agrometeorological-indicators?tab=overview), ensuring a consistent and high-quality methodological foundation across the entire time series and variable coverage. The computational workflow, implemented in Python using the open-source xclim and xarray libraries, converts daily meteorological variables into a collection of over 70 indicators and statistical measures. The dataset maintains a high spatial resolution of approximately 0.1° across the globe and spans the years 1979 to 2023. Variables are available at annual and, where applicable, monthly temporal resolutions to support analyses of seasonal dynamics.

The data are provided via three distinct datasets:

First, bioclimatic variables (19 variables), which adhere to the WorldClim BIO1 to BIO19 definitions (https://www.worldclim.org/data/bioclim.html). These include: BIO01 Mean Annual Temperature, BIO02 Diurnal Temperature Range, BIO03 Isothermality, BIO04 Temperature Seasonality, BIO05 Maximum Temperature of Warmest Month, BIO06 Minimum Temperature of Coldest Month, BIO07 Temperature Annual Range, BIO08 Mean Temperature of Wettest Quarter, BIO09 Mean Temperature of Driest Quarter, BIO10 Mean Temperature of Warmest Quarter, BIO11 Mean Temperature of Coldest Quarter, BIO12 Annual Precipitation Sum, BIO13 Precipitation of Wettest Month, BIO14 Precipitation of Driest Month, BIO15 Precipitation Seasonality, BIO16 Precipitation of Wettest Quarter, BIO17 Precipitation of Driest Quarter, BIO18 Precipitation of Warmest Quarter, and BIO19 Precipitation of Coldest Quarter.

Second, the specialized agrometeorological indices (16 variables), including Aridity Index, Consecutive Frost Days, Consecutive Wet Days, Continentality Index, Dry Days, Frost Days, Growing Degree Days, Growing Season Length, Heat Wave Index, Heavy Wet Days, Ice Days, Last Spring Frost, Maximum Consecutive Dry Days, Precipitation Range, Water Deficit, and Wet Days.

Third, the statistical moments of foundational input variables (40 variables): The minimum, mean, maximum, and variance of daily mean temperature, maximum temperature, minimum temperature, cloud cover, precipitation, reference evapotranspiration (RET), minimum relative humidity, maximum relative humidity, solar radiation flux, and wind speed.
Project
AgERA-Indices (Global high-resolution climate indices and statistics for agro-environmental research)
Contact
Dr. Kevin Schneider (
 kevin.schneider@nullec.europa.eu
)
Spatial Coverage
Longitude -180 to 179.9 Latitude -90 to 90
Temporal Coverage
1979-01-01 to 2023-12-31
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Format
NetCDF
Status
metadata only
Creation Date
Future Review Date
2035-11-14
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Cite as
Schneider, Kevin; Klinnert, Ana (2025). Global high-resolution climate indices and statistics for agro-environmental research covering 1979 to 2023. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=AGERAINDICES

BibTeX RIS
Contact typePersonORCIDOrganization
Contact
Dr. Kevin Schneider
-
European Commission - DG Joint Research Centre
Author
Dr. Kevin Schneider
-
European Commission - DG Joint Research Centre
Author
Ana Klinnert
-
European Commission - DG Joint Research Centre
Investigator
Dr. Kevin Schneider
-
European Commission - DG Joint Research Centre

Is derived from

[1] DOI Boogaard, H.; Schubert, J.; De Wit, A.; Lazebnik, J.; Hutjes, R.; Van der Grijn, G. (2020). Agrometeorological indicators from 1979 to present derived from reanalysis. Copernicus Climate Change Service (C3S) Climate Data Store (CDS) (Accessed on 01-JUN-2025). doi:10.24381/cds.6c68c9bb

Attached Datasets ( 3 )

Details for selected entry

Parent project(s)

Global high-resolution climate indices and statistics for agro-environmental research

[Entry acronym: AGERAINDICES] [Entry id: 5336072]