We reconstructed a new dataset of spatio-temporal
HIghly
RESolved
Atmospheric
Forcing
Fields (
HIRESAFF) for Northern Europe since 1850. As an outcome of the BONUS project
ECOSUPPORT, the reconstructed fields provide a new basis
for ecosystem (or similar) models to run longer simulations also prior to a large human impact on the Baltic Sea. The dataset also allows a better
validation and estimation of model uncertainties under different climatic or nutrient load conditions.
| Domain |
NE-Europe, 71°N to 48°N / 5°W to 37°E |
|
| Horizontal Resolution |
regular LatLon grid, 0.25° x 0.25° |
| Temporal Resolution |
daily, 1850-01-01 to 2009-09-29 |
| Variables |
sea-surface pressure (SLP) [hPa]
zonal (U) and meridional (V) wind [m/s]
relative humidity (RH) [%]
total cloud cover (TCC) [%]
near-surface temperature (T2m) [K]
and precipitation (PREC) [mm] |
Status: Official release within ECOSUPPORT, public release till end of 2011
The
Analog-Method (AM) is used as a simple non-linear upscaling tool to reconstruct daily atmospheric fields from long historical station data
of daily SLP and monthly T2m since 1850 (predictor). "Analogue" fields for every day (predictand) are searched by the AM from a pool of atmospheric fields
taken from a regional climate model (1958-2007). As the AM is not assuming a specific shape for the probability distribution of the variables, non-normally as
well as normally distributed variables are reconstructed. Hence, the AM reconstruction captures the extremes (magnitudes, frequencies), the probability
distributions of the variables as well as the variability reasonably well on the daily scale.
