Abstract. Freshwaters bring a notable contribution to the global carbon budget by
emitting both carbon dioxide (CO2) and methane (CH4) to the atmosphere.
Global estimates of freshwater emissions traditionally use a wind-speed-based
gas transfer velocity, kCC (introduced by Cole and Caraco, 1998), for
calculating diffusive flux with the boundary layer method (BLM). We compared
CH4 and CO2 fluxes from BLM with kCC and two other gas transfer
velocities (kTE and kHE), which include the effects of water-side
cooling to the gas transfer besides shear-induced turbulence, with
simultaneous eddy covariance (EC) and floating chamber (FC) fluxes during a
16-day measurement campaign in September 2014 at Lake Kuivajärvi in Finland.
The measurements included both lake stratification and water column mixing
periods. Results show that BLM fluxes were mainly lower than EC, with the
more recent model kTE giving the best fit with EC fluxes, whereas FC
measurements resulted in higher fluxes than simultaneous EC measurements. We
highly recommend using up-to-date gas transfer models, instead of kCC,
for better flux estimates. BLM CO2 flux measurements had clear differences between daytime and
night-time fluxes with all gas transfer models during both stratified and
mixing periods, whereas EC measurements did not show a diurnal behaviour in
CO2 flux. CH4 flux had higher values in daytime than night-time during
lake mixing period according to EC measurements, with highest fluxes detected
just before sunset. In addition, we found clear differences in daytime and
night-time concentration difference between the air and surface water for
both CH4 and CO2. This might lead to biased flux estimates, if only
daytime values are used in BLM upscaling and flux measurements in general. FC measurements did not detect spatial variation in either CH4 or CO2
flux over Lake Kuivajärvi. EC measurements, on the other hand, did not show
any spatial variation in CH4 fluxes but did show a clear difference between CO2
fluxes from shallower and deeper areas. We highlight that while all flux
measurement methods have their pros and cons, it is important to carefully
think about the chosen method and measurement interval, as well as their effects on
the resulting flux.