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Description
The MOD16A2 Version 6.1 Evapotranspiration/Latent Heat Flux product is an 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.
Provided in the MOD16A2 product are layers for composited Evapotranspiration (ET), Latent Heat Flux (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 MOD16A2 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. Note that 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.
The following changes and improvements were implemented for inputs to MODIS Version 6.1 net evapotranspiration data products: (1) Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 – 2017, (2) A polarization correction has been applied to the L1B Reflective Solar Bands (RSB), and (3) The product uses Climatology Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) as back up to the operational LAI/FPAR.
Land Processes Distributed Active Archive Center (LP DAAC)
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MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
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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Running, S., Mu, Q., & Zhao, M. (2021). MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MOD16A2.061 Date Accessed: 2026-05-21
Running, Steve, Qiaozhen Mu, and Maosheng Zhao. “MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061.” NASA Land Processes Distributed Active Archive Center, 2021. doi:10.5067/MODIS/MOD16A2.061. Date Accessed: 2026-05-21
Running, Steve, et al. MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061. NASA Land Processes Distributed Active Archive Center, 2021, doi:10.5067/MODIS/MOD16A2.061. Date Accessed: 2026-05-21
File Naming Convention
MOD16A2.A2025201.h07v05.061.2025217003056.hdf
The file name begins with the Product Short Name (MOD16A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025201), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h07v05), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025217003056), and the Data Format (hdf).
Correia Filho, Washington Luiz Felix, de Oliveira-Junior, Jose Francisco, Santiago, Dimas de Barros, Abdo, Hazem Ghassan, Almohamad, Hussein, Al Dughairi, Ahmed Abdullah, da Silva Junior, Carlos Antonio
Bezerra, Ulisses A., Cunha, John, Valente, Fernanda, Nobrega, Rodolfo L.B., Andrade, Joao M., Moura, Magna S.B., Verhoef, Anne, Perez-Marin, Aldrin M., Galvao, Carlos O.
LIU, Meng, /, 100081 State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northen China, Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences, Beijing 100081, China, PENG, Zhong, HUANG, Lingxiao, LI, Zhaoliang, DUAN, Sibo, TANG, Ronglin
Gimenez-Garcia, Angel, Allen-Perkins, Alfonso, Bartomeus, Ignasi, Balbi, Stefano, Knapp, Jessica L., Hevia, Violeta, Woodcock, Ben Alex, Smagghe, Guy, Minarro, Marcos, Eeraerts, Maxime, Colville, Jonathan F., Hipolito, Juliana, Cavigliasso, Pablo, Nates-Parra, Guiomar, Herrera, Jose M., Cusser, Sarah, Simmons, Benno I., Wolters, Volkmar, Jha, Shalene, Freitas, Breno M., Horgan, Finbarr G., Artz, Derek R., Sidhu, C. Sheena, Otieno, Mark, Boreux, Virginie, Biddinger, David J., Klein, Alexandra-Maria, Joshi, Neelendra K., Stewart, Rebecca I. A., Albrecht, Matthias, Nicholson, Charlie C., O'Reilly, Alison D., Crowder, David William, Burns, Katherine L. W., Nabaes Jodar, Diego Nicolas, Garibaldi, Lucas Alejandro, Sutter, Louis, Dupont, Yoko L., Dalsgaard, Bo, da Encarnacao Coutinho, Jeferson Gabriel, Lazaro, Amparo, Andersson, Georg K. S., Raine, Nigel E., Krishnan, Smitha, Dainese, Matteo, van der Werf, Wopke, Smith, Henrik G., Magrach, Ainhoa
Salazar-Martinez, Diego, Holwerda, Friso, Holmes, Thomas R.H., Yepez, Enrico A., Hain, Christopher R., Alvarado-Barrientos, Susana, Angeles-Perez, Gregorio, Arredondo-Moreno, Tulio, Delgado-Balbuena, Josue, Figueroa-Espinoza, Bernardo, Garatuza-Payan, Jaime, Gonzalez del Castillo, Eugenia, Rodriguez, Julio C., Rojas-Robles, Nidia E., Uuh-Sonda, Jorge M., Vivoni, Enrique R.