90 likes | 221 Views
Verification of Flux maps using in situ measurements. June Marion MS Atmospheric Science. Intro. Flux map verification Heat budget Radiation balance. Comparison of PSD, APL, OAFlux , TropFlux , RAMA 80.5E,0N. 20N Eq 20S. APL. RAMA 80.5E, 0N.
E N D
Verification of Flux maps using in situ measurements June Marion MS Atmospheric Science
Intro • Flux map verification • Heat budget • Radiation balance
Comparison of PSD, APL, OAFlux, TropFlux, RAMA 80.5E,0N 20N Eq 20S APL RAMA 80.5E, 0N 40E 80E 120E Map courtesy of NOAA Climate Prediction Center/NCEP
OAFlux Vs. TropFlux • TropFlux may be more sensitive than OAFlux in SHF • TropFlux and OAFlux agree well for LHF within the DYNAMO domain
RAMA Vs. OAFlux and TROPflux 20N Eq 20S Y=1*x+0.01 Y=0.93*x+2.47 SHF • TropFlux captures RAMA flux magnitudes well for both SHF & LHF • OAFlux captures LHF magnitudes well, but underestimates SHF by ~25% Y=0.75*x+0.61 Y=0.97*x+3.36 LHF • TropFlux has higher correlation with RAMA than OAFlux 40E 80E 120E
Heat Budget Northern, Southern and DYNAMO arrays Average over DYNAMO array TropFluxvsOAFlux • OAFlux and TropFlux agree well in the mean over the entire array • North/South array’s not correlated. TropFlux N./S. Arrays for SHF and LHF
Dynamo array rad. Balance with sw,lw,H,LE for Oct-Dec Net Zonal tau Net Longwave Latent Sensible Net Solar • Stronger negative net heat in the Southern array • Both dampened solar and enhanced sensible, latent and longwave are required for neg net.
Conclusions • OAFlux and TropFlux are strongly correlated with insitu measurements • OAFlux and TropFlux are well correlated over the DYNAMO domain • Point to point • In the mean • Northern and Southern arrays are not correlated • Stronger net heat radiation in Southern array
Summer objectives Compute turbulent fluxes using OSU data Compare OSU, PSD, and U-Conn turbulent fluxes