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The growing season is defined as all days with Tmin above the value where stomata close as in the BPLUT. Where NUg is the number of days during growing season with unreliable or missing MODIS LAI inputs, and Totalg is total number of days in the growing season.
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(2005) to define a more meaningful annual ET QC as
![active sky next weather change interval active sky next weather change interval](https://boston.cbslocal.com/wp-content/uploads/sites/3859903/2014/12/nextweek.png)
For annual QC of MOD16A3 products, we used the method proposed by Zhao et al. However, the cloud-contaminated FPAR/LAI has been temporally filled with those having good QC. The 8-day MOD16A2 QC field is inherited from MOD15A2 in the same period. MOD16 products includes 8-day, monthly and annual ET, LE, PET, PLE and 8-day, annual quality control (ET_QC). For a given biome type, two threshold values for Tmin and VPD are listed in the Biome-Property-Look-Up-Table (BPLUT) to control stomatal conductance (Mu et al., 2007a 2009 2011). High temperatures are often accompanied by high VPDs, leading to partial or complete closure of stomata. Tmin is used to control dormant and active growing seasons for evergreen biomes. For many plant species during growing seasons, stomatal conductance is controlled by vapor pressure deficit (VPD) (Oren et al., 1999 Mu et al., 2007b Running Kimball, 2005) and daily minimum air temperature (Tmin). Canopy conductance for plant transpiration is calculated by using LAI to scale stomatal conductance up to canopy level. Evaporation of water intercepted by the canopy is a very important water flux for ecosystems with a high LAI. Terrestrial ET includes evaporation from wet and moist soil, from rain water intercepted by the canopy before it reaches the ground, and the transpiration through stomata on plant leaves and stems. Surface resistance is an effective resistance to evaporation from land surface and transpiration from the plant canopy. The ET algorithm is based on the Penman-Monteith equation (Monteith, 1965). The MOD16 ET datasets are estimated using Mu et al.s improved ET algorithm (2011) over previous Mu et al.s paper (2007a). Future years will be produced and posted periodically, but not in near-real time. The dataset covers the time period 2000 - 2010. The MOD16 global evapotranspiration (ET)/latent heat flux (LE)/potential ET (PET)/potential LE (PLE) datasets are regular 1-km2 land surface ET datasets for the 109.03 Million km2 global vegetated land areas at 8-day, monthly and annual intervals. wildfires and insect outbreaks) on regional water resources and land surface energy change can be quantified. With long-term ET data, the effects of changes in climate, land use, and ecosystems disturbances (e.g. MOD16 global evapotranspiration product can be used to calculate regional water and energy balance, soil water status hence, it provides key information for water resource management. This project is part of NASA/EOS project to estimate global terrestrial evapotranspiration from earth land surface by using satellite remote sensing data.