Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Mu, Qiaozhen; Heinsch, Faith Ann; Zhao, Maosheng; Running, Steven W.

doi:10.1016/j.rse.2007.04.015

Cited by 1,462 publications

(1,351 citation statements)

References 92 publications

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“…Xia et al (2006) found that the NCEP reanalysis solar radiation data exceeded surface observations by 40 to more than 100 W m (2 . The MODIS science team must currently disaggregate the coarse-resolution (1.008 ) 1.258) Data Assimilation Office (DAO) (now the Global Modeling and Assimilation Office) reanalysis solar radiation product to provide the forcing data to produce the 1-km ET product from MODIS data (MOD16) (Mu et al 2007;Mu, Zhao, and Running 2011). Berg et al (2005) pointed out that a bias on many of the reanalysis fields limits their use for hydrological modeling.…”

Section: Incident Shortwave Solar Radiation Productmentioning

confidence: 99%

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

Liang

Zhao

Liu

et al. 2013

International Journal of Digital Earth

416

200

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Recently, five Global LAnd Surface Satellite (GLASS) products have been released: leaf area index (LAI), shortwave broadband albedo, longwave broadband emissivity, incident short radiation, and photosynthetically active radiation (PAR). The first three products cover the years 1982Á2012 (LAI) and 1981Á2010 (albedo and emissivity) at 1Á5 km and 8-day resolutions, and the last two radiation products span the period 2008Á2010 at 5 km and 3-h resolutions. These products have been evaluated and validated, and the preliminary results indicate that they are of higher quality and accuracy than the existing products. In particular, the first three products have much longer time series, and are therefore highly suitable for various environmental studies. This paper outlines the algorithms, product characteristics, preliminary validation results, potential applications and some examples of initial analysis of these products.

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Section: Incident Shortwave Solar Radiation Productmentioning

confidence: 99%

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

Liang

Zhao

Liu

et al. 2013

International Journal of Digital Earth

416

200

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“…Carbon, water, and energy budgets are intrinsically linked. Thus, to better understand issues related to the surface energy budget, satellite observations of albedo (Schaaf et al, 2002), land surface temperature (Wan et al, 2002), net radiation, and evapotranspiration (Cleugh et al, 2007;Mu et al, 2007) need to be integrated within this framework. In parallel, more in depth analysis of the eddy covariance observations are required to more fully exploit the information content of these datasets on hourly to decadal timescales.…”

Section: Existing Gapsmentioning

confidence: 99%

Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models

Randerson

Hoffman

Thornton

et al. 2009

Global Change Biology

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349

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With representation of the global carbon cycle becoming increasingly complex in climate models, it is important to develop ways to quantitatively evaluate model performance against in situ and remote sensing observations. Here we present a systematic framework, the Carbon‐LAnd Model Intercomparison Project (C‐LAMP), for assessing terrestrial biogeochemistry models coupled to climate models using observations that span a wide range of temporal and spatial scales. As an example of the value of such comparisons, we used this framework to evaluate two biogeochemistry models that are integrated within the Community Climate System Model (CCSM) – Carnegie‐Ames‐Stanford Approach′ (CASA′) and carbon–nitrogen (CN). Both models underestimated the magnitude of net carbon uptake during the growing season in temperate and boreal forest ecosystems, based on comparison with atmospheric CO2 measurements and eddy covariance measurements of net ecosystem exchange. Comparison with MODerate Resolution Imaging Spectroradiometer (MODIS) measurements show that this low bias in model fluxes was caused, at least in part, by 1–3 month delays in the timing of maximum leaf area. In the tropics, the models overestimated carbon storage in woody biomass based on comparison with datasets from the Amazon. Reducing this model bias will probably weaken the sensitivity of terrestrial carbon fluxes to both atmospheric CO2 and climate. Global carbon sinks during the 1990s differed by a factor of two (2.4 Pg C yr−1 for CASA′ vs. 1.2 Pg C yr−1 for CN), with fluxes from both models compatible with the atmospheric budget given uncertainties in other terms. The models captured some of the timing of interannual global terrestrial carbon exchange during 1988–2004 based on comparison with atmospheric inversion results from TRANSCOM (r=0.66 for CASA′ and r=0.73 for CN). Adding (CASA′) or improving (CN) the representation of deforestation fires may further increase agreement with the atmospheric record. Information from C‐LAMP has enhanced model performance within CCSM and serves as a benchmark for future development. We propose that an open source, community‐wide platform for model‐data intercomparison is needed to speed model development and to strengthen ties between modeling and measurement communities. Important next steps include the design and analysis of land use change simulations (in both uncoupled and coupled modes), and the entrainment of additional ecological and earth system observations. Model results from C‐LAMP are publicly available on the Earth System Grid.

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“…Simulated annual ET was calculated as the sum of monthly ET scaled to the watershed scale using the ESRI ARCGIS spatial analysis tools. To examine ET model performance at a regional scale, simulated ET for high precipitation year (2003), average precipitation year (2006) and relatively low precipitation year (2005) by the monthly ET model was compared to a remote-sensing product by Mu et al (2007). MODIS-ET was developed using the Penman-Monteith logic and MODIS imagery, and global meteorological data.…”

Section: Regional Database For Et Model Calibration Validation and Amentioning

confidence: 99%

Regional effects of vegetation restoration on water yield across the Loess Plateau, China

Feng

Sun

et al. 2012

Hydrol. Earth Syst. Sci.

186

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Abstract. The general relationships between vegetation and water yield under different climatic regimes are well established at a small watershed scale in the past century. However, applications of these basic theories to evaluate the regional effects of land cover change on water resources remain challenging due to the complex interactions of vegetation and climatic variability and hydrologic processes at the large scale. The objective of this study was to explore ways to examine the spatial and temporal effects of a large ecological restoration project on water yield across the Loess Plateau region in northern China. We estimated annual water yield as the difference between precipitation input and modelled actual evapotranspiration (ET) output. We constructed a monthly ET model using published ET data derived from eddy flux measurements and watershed streamflow data. We validated the ET models at a watershed and regional levels. The model was then applied to examine regional water yield under land cover change and climatic variability during the implementation of the Grain-for-Green (GFG) project during 1999-2007. We found that water yield in 38 % of the Loess Plateau area might have decreased (1-48 mm per year) as a result of land cover change alone. However, combined with climatic variability, 37 % of the study area might have seen a decrease in water yield with a range of 1-54 mm per year, and 35 % of the study area might have seen an increase with a range of 1-10 mm per year. Across the study region, climate variability masked or strengthened the water yield response to vegetation restoration. The absolute annual water yield change due to vegetation restoration varied with precipitation regimes with the highest in wet years, but the relative water yield changes were most pronounced in dry years. We concluded that the effects of land cover change associated with ecological restoration varied greatly over time and space and were strongly influenced by climatic variability in the arid region. The current regional vegetation restoration projects have variable effects on local water resources across the region. Land management planning must consider the influences of spatial climate variability and long-term climate change on water yield to be more effective for achieving environmental sustainability.

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Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

Cited by 1,462 publications

References 92 publications

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

Systematic assessment of terrestrial biogeochemistry in coupled climate–carbon models

Regional effects of vegetation restoration on water yield across the Loess Plateau, China

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