N: 90 S: -90 E: 180 W: -180
Description
The MOD16A2GF Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MOD16A2GF Version 6.1 data product.
The MOD16A2GF Version 6 Evapotranspiration/Latent Heat Flux (ET/LE) product is a year-end gap-filled 8-day composite dataset produced at 500 meter (m) pixel resolution. The algorithm used for the MOD16 data product collection is based on the logic of the Penman-Monteith equation, which includes inputs of daily meteorological reanalysis data along with Moderate Resolution Imaging Spectroradiometer (MODIS) remotely sensed data products such as vegetation property dynamics, albedo, and land cover.
The MOD16A2GF will be generated at the end of each year when the entire yearly 8-day MOD15A2H is available. Hence, the gap-filled MOD16A2GF is the improved MOD16, which has cleaned the poor-quality inputs from 8-day Leaf Area Index and Fraction of Photosynthetically Active Radiation (LAI/FPAR) based on the Quality Control (QC) label for every pixel. If any LAI/FPAR pixel did not meet the quality screening criteria, its value is determined through linear interpolation. However, users cannot get MOD16A2GF in near-real time because it will be generated only at the end of a given year.
Provided in the MOD16A2GF product are layers for composited ET, LE, Potential ET (PET), and Potential LE (PLE) along with a quality control layer. Two low resolution browse images, ET and LE, are also available for each MOD16A2GF granule.
The pixel values for the two Evapotranspiration layers (ET and PET) are the sum of all eight days within the composite period, and the pixel values for the two Latent Heat layers (LE and PLE) are the average of all eight days within the composite period. The last acquisition period of each year is a 5- or 6-day composite period, depending on the year.
Known Issues
- Operational and uncertainty issues are provided under Section 3 in the User Guide.
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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File Naming Convention
The file name begins with the Product Short Name (MOD16A2GF) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h05v10), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2019312205524), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Comparison of multiple satellite-derived products for assessing | Song, Jiaxin, Zhou, Decheng, Hao, Lu, Xiao, Jingfeng, Li, Xing, Zhang, Liangxia, Sun, Ge | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, VEGETATION PRODUCTIVITY, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff | |
| Assessing the Impacts of Long-Term Weather Variability and Urban Development on Crop Production to Analyze Food Security in Iran | Garajeh, Mohammad Kazemi, Kamran, Khalil Valizadeh, Feizizadeh, Bakhtiar, Khorrami, Behnam | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow | |
| Assessing Flash Drought Development and Propagation Across the Contiguous United States Using Remote Sensing | Zeraati, Masoud, Farahmand, Alireza, Seager, Richard, Fowler, Hayley J., Madani, Nima, Parazoo, Nicholas, Manning, Colin, White, Christopher J., Wen, Yixin, Mehran, Ali, AghaKouchak, Amir | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Carbon Monoxide, Geopotential Height, Tropopause, Methane, Atmospheric Ozone, Surface Pressure, Outgoing Longwave Radiation, Air Temperature, Upper Air Temperature, Humidity, Total Precipitable Water, Water Vapor, Water Vapor Profiles, Cloud Liquid Water/Ice, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Skin Temperature, Sea Surface Temperature, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Surface Winds, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff | |
| Commodity-driven deforestation doubles local warming from tropical forest loss | Smith, Callum, Baker, Jessica C A, Doggart, Nike H, Argles, Arthur P K, Robertson, Eddy, Chadwick, Robin, Adami, Marcos, Coelho, Caio A S, Spracklen, Dominick V | Land Use/Land Cover Classification, Albedo, Anisotropy, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| Identification of regional agricultural drought in the North China Plain and its attribution factors | Huang, Shaofeng, Zhang, Qi, Dai, Siyuan | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Integrating physical drivers for wildfire hazard modelling in support of | Corbea-Perez, Alejandro, Merino, Andres, Navarro, Andres, Garcia-Ortega, Eduardo | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Intercomparison of Earth Observation products for hyper-resolution | Garcia-Garcia, Almudena, Stradiotti, Pietro, Di Paolo, Federico, Filippucci, Paolo, Fischer, Milan, Orsag, Matej, Brocca, Luca, Peng, Jian, Dorigo, Wouter, Gruber, Alexander, Droppers, Bram, Wanders, Niko, Haag, Arjen, Weerts, Albrecht, Modiri, Ehsan, Rakovec, Oldrich, Frances, Felix, DallAmico, Matteo, Anderson, Martha, Hain, Christopher, Samaniego, Luis | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Surface Soil Moisture | |
| More frequent warm and dry spells along persistent cold and wet spells in the Baltics | Kalvane, Gunta, Kalvans, Andis, Briede, Agrita | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Satellite-based detection of agricultural flash droughts and associated vegetation responses in southeastern South America | Masaro, Lumila, Lovino, Miguel A, Pierrestegui, M Josefina, Muller, Gabriela V, Dorigo, Wouter | Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Evapotranspiration, Latent Heat Flux, Reflectance, Root Zone Soil Moisture, Surface Soil Moisture | |
| Monitoring changes in the landscape water balance: validation of satellite- and model-based evapotranspiration data in Lusatia, Germany | Krocher, Jenny, Ghazaryan, Gohar, Spank, Uwe, Zimmermann, Beate, Beyrich, Frank, Dietrich, Ottfried, Markwitz, Christian, van Ramshorst, Justus, Callejas-Rodelas, Jose Angel, Lischeid, Gunnar | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| When Do Riverine Systems Feel the Burn? Simulating How Burn Extent and Severity Modulate Hydrologic Controls on Biogeochemical Export | Wampler, K. A., MyersPigg, A. N., Kang, H., Regier, P., Scheibe, T. D., Bladon, K. D. | Maximum/Minimum Temperature, 24 Hour Precipitation Amount, Snow Water Equivalent, Shortwave Radiation, Vapor Pressure, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Widespread biophysical cooling effects due to post-fire greening | Xi, Huipeng, Wang, Qunming, Xiao, Yuelong, Guo, Ru, Tong, Xiaohua, Atkinson, Peter M. | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Enhanced Vegetation Index (EVI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Burned Area, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| A Comparative Analysis of Remotely Sensed and High-Fidelity ArcSWAT Evapotranspiration Estimates Across Various Timescales in the Upper Anthemountas Basin, Greece | Sevastas, Stefanos, Siarkos, Ilias, Mallios, Zisis | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| A coupled machine-learning and sensitivity analysis framework to link | Hosseinipoor, Mahdi, Danesh-Yazdi, Mohammad | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Aerosol Optical Depth/Thickness | |
| Advancing Ensemble Streamflow Prediction Through Satellite-Based | Peng, Kaidi, Wright, Daniel B., Derin, Yagmur, Alexander, G. Aaron, Pradhan, Ankita, Zoccatelli, Davide, Hartke, Samantha H., Li, Zhe, Tan, Jackson | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations | Zhao, Jinfeng, Sun, Shikun, Yin, Yali, Tang, Yihe, Li, Chong, Liang, Yongshan, Wang, Yubao, Winkler, Alexander, Jiang, Shijie | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Accelerated disappearance of desert oases: The impact of climate warming | Li, Dinghao, Wang, Zhi, Li, Hao, Liu, Yulong, Zhakypbek, Yryszhan, Tursbekov, Serik, Wan, Yanbo, Shi, Qingdong | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| A three-dimensional Budyko framework with terrestrial water storage | He, Qing, Fok, Hok Sum, Zhou, Hao, Ferreira, Vagner, Sun, Yilin | Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Contrasting biophysical impacts of vegetation growth and type transition greening on local temperature in southwestern China | Dong, Na, Liu, Zhen, Xu, Ru, Huang, Hua-Bing | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| An Optimal Transport Framework for WaterEnergy Coupling in SoilVegetationAtmosphere Continuum | Mishra, Debasish, Sehgal, Vinit, Mohanty, Binayak P. | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Assessing drought trends and vegetation health in arid regions using advanced remote sensing techniques: a case study in Saudi Arabia | Alqadhi, Saeed, Mallick, Javed, Hang, Hoang Thi | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Reflectance | |
| Climate change impacts on groundwater: a growing challenge for water resources sustainability in Brazil | Hirata, Ricardo, Goodarzi, Leila, Rorig, Fernando Schuh, Alves, Lincoln Muniz, Bertolo, Reginaldo | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Climate Change Is Altering Ecosystem Water Use Efficiency in | Green, Tristan, Salvucci, Guido, Friedl, Mark A. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Disentangling Effects of Vegetation Structure and Physiology on LandAtmosphere Coupling | Li, Wantong, Migliavacca, Mirco, Miralles, Diego G., Reichstein, Markus, Anderegg, William R. L., Yang, Hui, Orth, Rene | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Elevation Correction of Forest Biogeophysical Cooling Effect in China | Bai, Tingting, Song, Yongze, Li, Tong, Zheng, Jinxiu, Zhu, Kai | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Anisotropy |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| ET_500m | Total Evapotranspiration | kg/m²/8day | int16 | 32761 | -32767 to 32700 | 0.1 | N/A |
| ET_QC_500m | Evapotranspiration Quality Control flags | Bit Field | uint8 | 255 | 0 to 254 | N/A | N/A |
| LE_500m | Average Latent Heat Flux | J/m²/day | int16 | 32761 | -32767 to 32700 | 10000 | N/A |
| PET_500m | Total Potential Evapotranspiration | kg/m²/8day | int16 | 32761 | -32767 to 32700 | 0.1 | N/A |
| PLE_500m | Average Potential Latent Heat Flux | J/m²/day | int16 | 32761 | -32767 to 32700 | 10000 | N/A |