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Single-level data and soil-level data at the original time resolution (once a day, or once every 6 hours, depending on the variable). They are particularly useful for applications that require detailed temporal information, such as analysing day-to-day variability, persistent weather patterns, or changes in surface and soil conditions during the seasonal forecast period.
Time scale: Seasonal
ASPECT role: ASPECT contribution
Data provider: CMCC, ECMWF, MET OFFICE
Pressure-level variables are available at their native temporal resolution, every 12 hours. They are particularly useful for analysing atmospheric conditions at different heights, including circulation patterns, temperature and wind structures, and large-scale weather regimes during the seasonal forecast period.
Time scale: Seasonal
ASPECT role: ASPECT contribution
Data provider: CMCC, ECMWF, MET OFFICE
Single-level variables are available as monthly aggregated data. They are particularly useful for applications focused on broader seasonal signals, such as monthly anomalies, average surface conditions, and changes in near-surface climate variables over the forecast period.
Time scale: Seasonal
ASPECT role: Created by ASPECT
Data provider: CMCC, ECMWF, MET OFFICE
Acknowledgement: The production of these datasets is supported by the ASPECT project, funded by the European Union’s Horizon Europe programme under grant agreement No. 101081460.
Pressure-level variables are available as monthly aggregated data.
Time scale: Seasonal
ASPECT role: Created by ASPECT
Data provider: ECMWF
Acknowledgement: The production of these datasets is supported by the ASPECT project, funded by the European Union’s Horizon Europe programme under grant agreement No. 101081460.
Multi-annual predictions are available for forecast periods of up to 36 months.
Time scale: Multi-annual
ASPECT role: ASPECT contribution
Data provider: BSC, CMCC
Multi-annual predictions are available for forecast periods of up to 24 months.
Time scale: Multi-annual
ASPECT role: ASPECT contribution
Data provider: ECMWF
Climate predictions over a time frame of 1 to 20 years. These predictions aim to bridge the gap between short-term weather forecasts and long-term climate projections by incorporating both natural climate variability (e.g., ocean currents, volcanic activity) and human-induced climate change (e.g., greenhouse gas emissions).
Time scale: Decadal, Multi-decadal
ASPECT role: Used by ASPECT
Data provider: BSC, CMCC, MPG-MPI-M
Selected daily and monthly mean output of decadal prediction system based on MPI-ESM-LR 1.2.01p5.
Time scale: Decadal, Multi-decadal
ASPECT role:
Data provider: MPG-MPI-M
Climate projections data estimate the future climate conditions over decades to centuries, based on different greenhouse gas (GHG) emission scenarios and climate models.
Time scale: Projections
ASPECT role:
Data provider: BSC
Climate projections data estimate the future climate conditions over decades to centuries, based on different greenhouse gas (GHG) emission scenarios and climate models.
Time scale: Projections
ASPECT role:
Data provider: BSC
ERA5 is the powerful fifth generation ECMWF reanalysis dataset, providing hourly global climate and weather data for the past 8 decades. Data is available from 1940 onwards.
Time scale: Reanalysis
ASPECT role:
Data provider: ECMWF
ERA5 is the fifth generation ECMWF reanalysis for the global climate and weather for the past 8 decades. Data is available from 1940 onwards. ERA5 replaces the ERA-Interim reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent data.
Time scale: Reanalysis
ASPECT role:
Data provider: ECMWF