Abstract
To guide the future development of CO2-atmospheric inversion modeling systems, we analyzed the errors arising from prior information about terrestrial ecosystem fluxes. We compared the surface fluxes calculated by a process-based terrestrial ecosystem model with daily averages of CO2flux measurements at 156 sites across the world in the FLUXNET network. At the daily scale, the standard deviation of the model-data fit was 2.5 gC·m-2·d-1; temporal autocorrelations were significant at the weekly scale (>0.3 for lags less than four weeks), while spatial correlations were confined to within the first few hundred kilometers (
| Original language | English |
|---|---|
| Article number | GB1021 |
| Number of pages | 9 |
| Journal | Global Biogeochemical Cycles |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2012 |
Keywords
- carbon-dioxide exchange
- interannual variability
- soil respiration
- atmospheric co2
- pine forests
- water-vapor
- oak forest
- assimilation
- uncertainty
- grassland
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