scholarly journals Aerosol effects on global land surface energy fluxes during 2003-2010

2014 ◽  
Vol 41 (22) ◽  
pp. 7875-7881 ◽  
Author(s):  
Shaoqing Liu ◽  
Min Chen ◽  
Qianlai Zhuang
Keyword(s):  
Surface Energy ◽  
Land Surface ◽  
Energy Fluxes ◽  
Surface Energy Fluxes ◽  
Global Land ◽  
Aerosol Effects

scholarly journals Evaluation of the effect of low soil temperature stress on the land surface energy fluxes simulation in the site and global offline experiments

2020 ◽  
Author(s):  
Siguang Zhu ◽  
Haishan Chen ◽  
Yongjiu Dai ◽  
Xingjie Lu ◽  
Wei Shangguan ◽  
...  
Keyword(s):  
Surface Energy ◽  
Soil Temperature ◽  
Temperature Stress ◽  
Land Surface ◽  
Energy Fluxes ◽  
Surface Energy Fluxes

scholarly journals Remotely sensed land-surface energy fluxes at sub-field scale in heterogeneous agricultural landscape and coniferous plantation

2014 ◽  
Vol 11 (18) ◽  
pp. 5021-5046 ◽  
Author(s):  
R. Guzinski ◽  
H. Nieto ◽  
R. Jensen ◽  
G. Mendiguren
Keyword(s):  
Surface Energy ◽  
Spatial Resolution ◽  
Land Surface ◽  
Agricultural Landscape ◽  
Remotely Sensed ◽  
Energy Fluxes ◽  
Surface Energy Fluxes ◽  
Coniferous Plantation ◽  
Polar Orbiting Satellite ◽  
Agricultural Site

Abstract. In this study we evaluate a methodology for disaggregating land surface energy fluxes estimated with the Two-Source Energy Balance (TSEB)-based Dual-Temperature Difference (DTD) model which uses day and night polar orbiting satellite observations of land surface temperature (LST) as a remotely sensed input. The DTD model is run with MODIS input data at a spatial resolution of around 1 km while the disaggregation uses Landsat observations to produce fluxes at a nominal spatial resolution of 30 m. The higher-resolution modelled fluxes can be directly compared against eddy covariance (EC)-based flux tower measurements to ensure more accurate model validation and also provide a better visualization of the fluxes' spatial patterns in heterogeneous areas allowing for development of, for example, more efficient irrigation practices. The disaggregation technique is evaluated in an area covered by the Danish Hydrological Observatory (HOBE), in the west of the Jutland peninsula, and the modelled fluxes are compared against measurements from two flux towers: the first one in a heterogeneous agricultural landscape and the second one in a homogeneous conifer plantation. The results indicate that the coarse-resolution DTD fluxes disaggregated at Landsat scale have greatly improved accuracy as compared to high-resolution fluxes derived directly with Landsat data without the disaggregation. At the agricultural site the disaggregated fluxes display small bias and very high correlation (r ≈ 0.95) with EC-based measurements, while at the plantation site the results are encouraging but still with significant errors. In addition, we introduce a~modification to the DTD model by replacing the "parallel" configuration of the resistances to sensible heat exchange by the "series" configuration. The latter takes into account the in-canopy air temperature and substantially improves the accuracy of the DTD model.

Normalized Difference Latent Heat Index for Remote Sensing of Land Surface Energy Fluxes

2019 ◽  
Vol 57 (3) ◽  
pp. 1423-1433 ◽  
Author(s):  
Yuei-An Liou ◽  
Mai Son Le ◽  
Hwa Chien
Keyword(s):  
Remote Sensing ◽  
Surface Energy ◽  
Latent Heat ◽  
Land Surface ◽  
Heat Index ◽  
Energy Fluxes ◽  
Surface Energy Fluxes

Using Spatial Eddy Covariance to Investigate Energy Balance Closure over a Heterogeneous Ecosystem

2020 ◽  
Author(s):  
Brian Butterworth ◽  
Ankur Desai ◽  
Sreenath Paleri ◽  
Stefan Metzger ◽  
David Durden ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Energy Balance ◽  
Surface Energy ◽  
Atmospheric Boundary Layer ◽  
Eddy Covariance ◽  
Land Surface ◽  
Surface Heterogeneity ◽  
Energy Fluxes ◽  
Surface Energy Fluxes ◽  
Land Surface Heterogeneity

<p>Land surface heterogeneity influences patterns of sensible and latent heat flux, which in turn affect processes in the atmospheric boundary layer. However, gridded atmospheric models often fail to incorporate the influence of land surface heterogeneity due to differences between the temporal and spatial scales of models compared to the local, sub-grid processes. Improving models requires the scaling of surface flux measurements; a process made difficult by the fact that surface measurements usually find an imbalance in the energy budget.</p><p>The Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors (CHEESEHEAD19) was an observational experiment designed to investigate how the atmospheric boundary layer responds to scales of spatial heterogeneity in surface-atmosphere heat and water exchanges. The campaign was conducted from June – October 2019, measuring surface energy fluxes over a heterogeneous forest ecosystem as fluxes transitioned from latent heat-dominated summer through sensible heat-dominated fall. Observations were made by ground, airborne, and satellite platforms within the 10 x 10 km study region, which was chosen to match the scale of a typical model grid cell. The spatial distribution of energy fluxes was observed by an array of 20 eddy covariance towers and a low-flying aircraft. Mesoscale atmospheric properties were measured by a suite of LiDAR and sounding instruments, measuring winds, water vapor, temperature, and boundary layer development. Plant phenology was measured in-situ and mapped remotely using hyperspectral imaging.</p><p>The dense set of multi-scale observations of land-atmosphere exchange collected during the CHEESEHEAD field campaign permits combining the spatial and temporal distribution of energy fluxes with mesoscale surface and atmospheric properties. This provides an unprecedented data foundation to evaluate theoretical explanations of energy balance non-closure, as well as to evaluate methods for scaling surface energy fluxes for improved model-data comparison. Here we show how fluxes calculated using a spatial eddy covariance technique across the 20-tower network compare to those of standard temporal eddy covariance fluxes in order to characterize of the spatial representativeness of single tower eddy covariance measurements. Additionally, we show how spatial EC fluxes can be used to better understand the energy balance over heterogeneous ecosystems.</p>

scholarly journals Evaluation of the Effect of Low Soil Temperature Stress on the Land Surface Energy Fluxes Simulation in the Site and Global Offline Experiments

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
Siguang Zhu ◽  
Haishan Chen ◽  
Yongjiu Dai ◽  
Xingjie Lu ◽  
Wei Shangguan ◽  
...  
Keyword(s):  
Surface Energy ◽  
Soil Temperature ◽  
Temperature Stress ◽  
Land Surface ◽  
Energy Fluxes ◽  
Surface Energy Fluxes

scholarly journals The topographic control on land surface energy fluxes: A statistical approach to bias correction

2020 ◽  
Vol 584 ◽  
pp. 124669
Author(s):  
Alessandra Trevisan ◽  
Victor Venema ◽  
Stefan Kollet ◽  
Mostaquimur Rahman
Keyword(s):  
Surface Energy ◽  
Bias Correction ◽  
Land Surface ◽  
Statistical Approach ◽  
Energy Fluxes ◽  
Surface Energy Fluxes
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