N: 90 S: -90 E: 180 W: -180
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The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16A2GF Version 6.1 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 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.
Version Description
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 (A2024361), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h01v10), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025019222926), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| An Interpretable PhysicsGuided Deep Learning (IPGDL) Framework for BlueGreen Water Robust Projection and Nonlinear Interpretation in the River Basin | Guo, Zhonghui, Feng, Chang, Liu, Qing, Yang, Liu, Lu, Yikun, Liu, Yan, Zhao, Boning, Wang, Dan | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| 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 the role of gridded evapotranspiration products in improving | Li, Minxin, Zou, Lei, Xia, Jun, Wang, Feiyu, Yu, Jiarui, Xu, Jiayuan, Hong, Si | 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 | |
| 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 | 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, Ground Water, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Latent Heat Flux, Precipitation, Precipitation Amount, Tropopause, Air Temperature, Upper Air Temperature, Total Precipitable Water, Water Vapor, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Sea Surface Temperature, Skin Temperature, Carbon Monoxide, Geopotential Height, Water Vapor Profiles, Cloud Liquid Water/Ice, Outgoing Longwave Radiation, Methane, Atmospheric Ozone | |
| HYGRID-M: A grid-based hydrological balance model for water management at River Basin District scale | Aung, Htay Htay, Sileo, Biagio, Fiorentino, Mauro, Dal Sasso, Silvano Fortunato | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| 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 | |
| Influence of Land Use and Land Cover on the Water Cycle in Ouro Preto, MG: Contributions to Water Resource Management | Gaiao, Lucas Mardones, Ferreira, Daniela Arcanjo Paiola, Heldt Junior, Roosevelt, Castro, Paulo de Tarso Amorim | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Ecosystem vertical structural complexity and soil nutrition | Cao, Yue, Hao, Xinyi, Yu, Fei, Wang, Rui, Li, Huiwen | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Productivity, Canopy Characteristics, Biomass, Vegetation Height, Forest Composition/Vegetation Structure | |
| Downscaling MicrowaveBased Evapotranspiration With a FourierSupervised MultiSource Fusion Network in CentralSouthern East Asia | Li, Haoyang, Li, Dong, Wang, Yipu, Liu, Qingyang, Hu, Jiheng, Song, Binbin, Wu, Shengli, Zhang, Peng, Hong, Danfeng, Li, Rui | Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| 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 | |
| Evapotranspiration Profiles and Trends in Seasonally Dry and Seasonally Humid Tropical Forests | Teixeira, Lucas de Morais, Cabral Junior, Jorio Bezerra, da Silva, Helder Jose Farias, Silva, Fabricio Daniel dos Santos, de Oliveira, Gabriel, Rodrigues, Daniele Torres | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| 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 | |
| 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 | |
| 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 | |
| State-of-the-art hydrological datasets exhibit low water balance consistency globally | Huang, Hao, Liu, Junguo, Chen, Aifang, Ruiz-Vasquez, Melissa, Orth, Rene | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Vegetation Index, Landscape Patterns, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Systematic evaluation of atmospheric forcing, surface datasets, and mesh | Li, Lingcheng, Bisht, Gautam, Xu, Donghui, Hao, Dalei, Liao, Chang, Feng, Dongyu, Tan, Zeli, Li, Hongyi, Shi, Mingjie, Zhou, Tian, Leung, L. Ruby | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Productivity, Albedo, Anisotropy | |
| 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, Vapor Pressure, Shortwave Radiation, 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 |
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 |