N: 90 S: -90 E: 180 W: -180
Description
The MYD16A2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MYD16A2 Version 6.1 data product.
The MYD16A2 Version 6 Evapotranspiration/Latent Heat Flux product is an 8-day composite dataset produced at 500 meter (m) pixel resolution. The improved algorithm 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 MYD16A2 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 MYD16A2 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.
- 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 (MYD16A2) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002273), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h07v07), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2018107124237), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Advancing diurnal analysis of vegetation responses to drought events in the Yangtze River Basin using next-generation satellite data | Li, Tingyu, Wang, Shaoqiang, Deng, Zhuoying, Chen, Jinghua, Chen, Bin, Liang, Zhewei, Chen, Xuan, Jiang, Yunhao, Gu, Peng, Sun, Leigang | Evapotranspiration, Latent Heat Flux | |
| Global Evapotranspiration Retrieval Using Fengyun-3D Passive Microwave | Liu, Qingyang, Zhang, Peng, Wang, Yipu, Hu, Jiheng, Li, Rui | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux | |
| Enhanced cooling efficiency of urban trees on hotter summer days in 70 cities of China | Yang, Limei, Ge, Jun, Cao, Yipeng, Liu, Yu, Luo, Xing, Wang, Shiyao, Guo, Weidong | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux | |
| A global 5 km monthly potential evapotranspiration dataset (19822015) estimated by the ShuttleworthWallace model | Sun, Shanlei, Bi, Zaoying, Xiao, Jingfeng, Liu, Yi, Sun, Ge, Ju, Weimin, Liu, Chunwei, Mu, Mengyuan, Li, Jinjian, Zhou, Yang, Li, Xiaoyuan, Liu, Yibo, Chen, Haishan | Evapotranspiration, Latent Heat Flux | |
| A need-finding study with users of geospatial data | Ziegler, Parker, Chasins, Sarah E. | Evapotranspiration, Latent Heat Flux | |
| Surface energy dynamics and canopy structural properties in intact and disturbed forests in the Southern Amazon | Rangel Pinage, Ekena, Bell, David M., Longo, Marcos, Silva, Carlos A., Csillik, Ovidiu, Huete, Alfredo | Evapotranspiration, Latent Heat Flux | |
| An integrated assessment on the warming effects of urbanization and agriculture in highly developed urban agglomerations of China | Yan, Zhangmei, Zhou, Decheng, Li, Yu, Zhang, Liangxia | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Albedo, Anisotropy, Evapotranspiration, Latent Heat Flux, Land Surface Temperature, Emissivity, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps | |
| Challenges and opportunities in precision irrigation decision-support | Zhang, Jingwen, Guan, Kaiyu, Peng, Bin, Jiang, Chongya, Zhou, Wang, Yang, Yi, Pan, Ming, Franz, Trenton E, Heeren, Derek M, Rudnick, Daran R, Abimbola, Olufemi, Kimm, Hyungsuk, Caylor, Kelly, Good, Stephen, Khanna, Madhu, Gates, John, Cai, Yaping | Photosynthetically Active Radiation, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Latent Heat Flux, Land Surface Temperature, Emissivity, Leaf Characteristics | |
| Empirical Fitting of Periodically Repeating Environmental Data | Evapotranspiration, Latent Heat Flux | ||
| Effects of riparian vegetation on evapotranspiration processes and water quality of small plain streams | Dunea, Daniel, Bretcan, Petre, Purcoi, Larisa, Tanislav, Danut, Serban, Gheorghe, Neagoe, Aurora, Iordache, Virgil, Iordache, Stefania | Evapotranspiration, Latent Heat Flux | |
| Estimation of spatially continuous near-surface relative humidity over Japan and South Korea | Park, Haemi, Lee, Junghee, Yoo, Cheolhee, Sim, Seongmun, Im, Jungho | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux | |
| Hurricane Irma impact on biophysical and biochemical features of canopy vegetation in the Santa Fe River Basin, Florida | Bellanthudawa, B. Kushan Aravinda, Chang, Ni-Bin | Evapotranspiration, Latent Heat Flux, Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity | |
| Grass modelling in data-limited areas by incorporating MODIS data products | Huang, Xiao, Zhao, Gang, Zorn, Conrad, Tao, Fulu, Ni, Shaoqiang, Zhang, Wenyuan, Tu, Tongbi, Hoglind, Mats | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation, Evapotranspiration, Latent Heat Flux | |
| Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future | Jiao, Wenzhe, Wang, Lixin, McCabe, Matthew F. | Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Latent Heat Flux, Sea Surface Temperature, Leaf Characteristics, Photosynthetically Active Radiation | |
| The role of urban trees in reducing land surface temperatures in European cities | Schwaab, Jonas, Meier, Ronny, Mussetti, Gianluca, Seneviratne, Sonia, Burgi, Christine, Davin, Edouard L. | Albedo, Anisotropy, Evapotranspiration, Latent Heat Flux | |
| Suppressed Daytime Convection Over the Amazon River | Wu, M., Lee, J.E., Wang, D., Salameh, M. | Emissivity, Land Surface Temperature, Reflectance, Total Surface Water, Evapotranspiration, Latent Heat Flux, Drainage, Rivers/Streams, Watershed Characteristics | |
| Spatiotemporal land use change and environmental degradation surrounding CAFOs in Michigan and North Carolina | Miralha, Lorrayne, Muenich, Rebecca L., Schaffer-Smith, Danica, Myint, Soe W. | Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover | |
| Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil | da Costa, Luis Miguel, de Araujo Santos, Gustavo Andre, de Mendonca, Gislaine Costa, Morais Filho, Luiz Fernando Favacho, de Meneses, Kamila Cunha, de Souza Rolim, Glauco, La Scala, Newton | Evapotranspiration, Latent Heat Flux | |
| Toward operational validation systems for global satellite-based terrestrial essential climate variables | Bayat, Bagher, Camacho, Fernando, Nickeson, Jaime, Cosh, Michael, Bolten, John, Vereecken, Harry, Montzka, Carsten | Brightness Temperature, Microwave Imagery, Soil Moisture/Water Content, Vegetation Water Content, Evapotranspiration, Latent Heat Flux, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Emissivity, Land Surface Temperature, Normalized Difference Vegetation Index (NDVI), Albedo, Anisotropy, Reflectance, Sea Surface Temperature | |
| A simple method for water balance estimation based on the empirical method and remotely sensed evapotranspiration estimates | Falalakis, George, Gemitzi, Alexandra | Evapotranspiration, Latent Heat Flux, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain | |
| Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index | Xu, Lei, Abbaszadeh, Peyman, Moradkhani, Hamid, Chen, Nengcheng, Zhang, Xiang | Evapotranspiration, Latent Heat Flux | |
| Downscaling satellite retrieved soil moisture using regression tree-based machine learning algorithms over southwest France | Liu, Yangxiaoyue, Xia, Xiaolin, Yao, Ling, Jing, Wenlong, Zhou, Chenghu, Huang, Wumeng, Li, Yong, Yang, Ji | Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Hydrological consequences of natural rubber plantations in Southeast Asia | Chiarelli, Davide D., Passera, Corrado, Rulli, Maria Cristina, Rosa, Lorenzo, Ciraolo, Giuseppe, D'Odorico, Paolo | Evapotranspiration, Latent Heat Flux | |
| Upstream Remotely-Sensed Hydrological Variables and Their | Zhou, Linghao, Fok, Hok, Ma, Zhongtian, Chen, Qiang | Evapotranspiration, Latent Heat Flux | |
| Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil | Mariano, Denis A., Santos, Carlos A.C. dos, Wardlow, Brian D., Anderson, Martha C., Schiltmeyer, Allie V., Tadesse, Tsegaye, Svoboda, Mark D. | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux, 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 |