Evaluation of Latent Heat Flux Fields from Satellites and Models during SEMAPHORE
نویسندگان
چکیده
Latent heat fluxes were derived from satellite observations in the region of Structure des Echanges Mer– Atmosphère, Propriétés des Hétérogénéités Océaniques: Recherche Expérimentale (SEMAPHORE), which was conducted near the Azores islands in the North Atlantic Ocean in autumn of 1993. The satellite fluxes were compared with output fields of two atmospheric circulation models and in situ measurements. The rms error of the instantaneous satellite fluxes is between 35 and 40 W m22 and the bias is 60–85 W m22. The large bias is mainly attributed to a bias in satellite-derived atmospheric humidity and is related to the particular shape of the vertical humidity profiles during SEMAPHORE. The bias in humidity implies that the range of estimated fluxes is smaller than the range of ship fluxes, by 34%–38%. The rms errors for fluxes from models are 30–35 W m22, and the biases are smaller than the biases in satellite fluxes (14–18 W m22). Two case studies suggest that the satellites detect horizontal gradients of wind speed and specific humidity if the magnitude of the gradients exceeds a detection threshold, which is 1.27 g kg21 (100 km)21 for specific humidity and between 0.35 and 0.82 m s21 (30 km)21 for wind speed. In contrast, the accuracy of the spatial gradients of bulk variables from models always varies as a function of the location and number of assimilated observations. A comparison between monthly fluxes from satellites and models reveals that satellite-derived flux anomaly fields are consistent with reanalyzed fields, whereas operational model products lack part of the mesoscale structures present in the satellite fields.
منابع مشابه
An Integrated Approach to Estimate Instantaneous Near-Surface Air Temperature and Sensible Heat Flux Fields during the SEMAPHORE Experiment
A new technique was developed to retrieve near-surface instantaneous air temperatures and turbulent sensible heat fluxes using satellite data during the Structure des Echanges Mer–Atmosphere, Proprietes des Heterogeneites Oceaniques: Recherche Experimentale (SEMAPHORE) experiment, which was conducted in 1993 under mainly anticyclonic conditions. The method is based on a regional, horizontal atm...
متن کاملEvaluation of regional numerical weather prediction model surface fields over the Middle Atlantic Bight
Coastal ocean models often rely on the surface fields from numerical weather prediction (NWP) models for realistic surface boundary conditions, but the errors in these fields are poorly understood. We evaluate the surface meteorological and flux fields provided by three of the regional NWP models in operation during 1996 and 1997 at the U.S. National Centers for Environmental Prediction (NCEP):...
متن کاملتبیین علل کاهش یافتن مقدار و شدت بارشهای زمستانه در قیاس با بارشهای پاییزه در سواحل جنوبی دریای خزر
The causes of wintertime precipitation decrease in the Southern Coast of Caspian Sea (SCCS) compared to its counterpart in autumn, is investigated with the use of synoptic stations daily dataset of SCCS and gridded NCEP/NCAR and NOAA dataset. The structure of atmospheric circulation and synoptic and physical conditions over the Caspian Sea region which are dominate in the winter and autumn prec...
متن کاملImproving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data
[1] The Community Land Model version 4 (CLM4) overestimates gross primary production (GPP) compared with data‐driven estimates and other process models. We use global, spatially gridded GPP and latent heat flux upscaled from the FLUXNET network of eddy covariance towers to evaluate and improve canopy processes in CLM4. We investigate differences in GPP and latent heat flux arising from model pa...
متن کاملAn Empirical Latent Heat Flux Parameterization for the Noah Land Surface Model
Proper partitioning of the surface energy fluxes that drive the evolution of the planetary boundary layer in numerical weather prediction models requires an accurate representation of initial land surface conditions. Unfortunately, soil temperature and moisture observations are unavailable in most areas and routine daily estimates of vegetation coverage and biomass are not easily available. Thi...
متن کامل