Search results
Results from the WOW.Com Content Network
A new reanalysis product ERA5 has more recently been released by ECMWF as part of Copernicus Climate Change Services. This product has higher spatial resolution (31 km) and covers the period from 1979 to present. Extension up to 1940 became available in 2023. [1]
ECMWF aims to provide accurate medium-range global weather forecasts out to 15 days and seasonal forecasts out to 12 months. [11] Its products are provided to the national weather services of its member states and co-operating states as a complement to their national short-range and climatological activities, and those national states use ECMWF's products for their own national duties, in ...
As detailed in Table 4 of Shen et al., these AI-driven models were trained with ERA5 reanalysis data and CMIP6 datasets and evaluated using a variety of metrics such as root mean square errors (RMSE), anomaly correlation coefficients (ACC), Continuous Ranked Probability Score (CRPS), Temporal Anomaly Correlation Coefficient (TCC), Ranked ...
In the last 34 years, SRC has experienced rainfall events that exceed a 100-year storm event every 2.4 years. We're choosing to not be prepared. Santa Rosa is using obsolete rainfall data in ...
The Copernicus Climate Change Service [1] (abbreviated as C3S) is one of the six thematic services provided by the European Union's Copernicus Programme. The Copernicus Programme is managed by the European Commission and the C3S is implemented by the European Centre for Medium-Range Weather Forecasts (ECMWF).
Copernicus is the Earth observation component of the European Union Space Programme, managed by the European Commission and implemented in partnership with the EU member states, the European Space Agency (ESA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), the European Centre for Medium-Range Weather Forecasts (ECMWF), the Joint Research Centre (JRC ...
And, as both Curb and Baker pointed out, the NOAA Atlas 14 precipitation data isn't exactly hot off the presses. Its statistical review charts rainfall patterns from 1840 to 2012.
The CHECC project improves AR-CHaMo by using newer reanalysis datasets with higher spatial and temporal resolutions, such as ERA5, COSMO-REA6 and MERRA2. The added resolution is expected to better resolve the conditions that give rise to the convective storms and hence to improved statistical models.