000263566 001__ 263566
000263566 005__ 20190702135620.0
000263566 0247_ $$2doi$$a10.1029/2018JC014451
000263566 02470 $$a10.1029/2018JC014451$$2DOI
000263566 037__ $$aARTICLE
000263566 245__ $$aSurface Water Temperature Heterogeneity at Subpixel Satellite Scales and Its Effect on the Surface Cooling Estimates of a Large Lake: Airborne Remote Sensing Results From Lake Geneva
000263566 260__ $$c2019-01-25
000263566 269__ $$a2019-01-25
000263566 336__ $$aJournal Articles
000263566 520__ $$aThe dynamics of spatial heterogeneity of lake surface water temperature (LSWT) at subpixel satellite scale O(1 m) and its effect on the surface cooling estimation at typical satellite pixel areas O(1 km2) were investigated using an airborne platform. The measurements provide maps that revealed spatial LSWT variability with unprecedented detail. The cold season data did not show significant LSWT heterogeneity and hence no surface cooling spatial variability. However, based on three selected daytime subpixel‐scale maps, LSWT patterns showed a variability of >2 °C in the spring and >3.5 °C in the summer, corresponding to a spatial surface cooling range of >20 and >40 W/m2, respectively. Due to the nonlinear relationship between turbulent surface heat fluxes and LSWT, negatively skewed LSWT distributions resulted in negatively skewed surface cooling patterns under very stable or predominantly unstable atmospheric boundary layer (ABL) conditions and positively skewed surface cooling patterns under predominantly stable ABL conditions. Implementing a mean spatial filter, the effect of area‐averaged LSWT on the surface cooling estimation up to a typical satellite pixel was assessed. The effect of the averaging filter size on the mean spatial surface cooling values was negligible, except for predominantly stable ABL conditions. In that situation, a reduction of ~3.5 W/m2 was obtained when moving from high O(1 m) to low O(1 km) pixel resolution.
000263566 536__ $$aOther foundations$$c5257
000263566 6531_ $$aLake surface water temperature
000263566 6531_ $$aSurface cooling
000263566 6531_ $$aThermal imagery
000263566 6531_ $$aRemote sensing
000263566 6531_ $$aLake Geneva
000263566 6531_ $$aAtmospheric boundary layer stability
000263566 6531_ $$aSubpixelSatellite Scale
000263566 700__ $$aIrani Rahaghi, Abolfazl
000263566 700__ $$aLemmin, Ulrich
000263566 700__ $$aBarry, David Andrew$$0240314$$g169209
000263566 773__ $$j124$$tJournal of Geophysical Research: Oceans$$k1$$q635-651
000263566 790__ $$2doi$$w10.5281/zenodo.1470204
000263566 8564_ $$uhttps://infoscience.epfl.ch/record/263566/files/Rahaghi_et_al-2019-Journal_of_Geophysical_Research__Oceans.pdf$$s1837248
000263566 8560_ $$fandrew.barry@epfl.ch
000263566 909C0 $$xU11221$$pECOL$$mandrew.barry@epfl.ch$$zCharbonnier, Valérie$$0252101
000263566 909CO $$qGLOBAL_SET$$particle$$pENAC$$ooai:infoscience.epfl.ch:263566
000263566 960__ $$aabolfazl.iranirahaghi@epfl.ch
000263566 961__ $$apierre.devaud@epfl.ch
000263566 973__ $$aEPFL$$sPUBLISHED$$rREVIEWED
000263566 981__ $$aoverwrite
000263566 980__ $$aARTICLE