N: 90 S: -90 E: 180 W: -180
Description
The MCD18C2 Version 6.2 is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Photosynthetically Active Radiation (PAR) gridded Level 3 product produced daily at 0.05 degree (5,600 meters at the equator) resolution with estimates of PAR every 3 hours. PAR is incident solar radiation in the visible spectrum (400-700 nanometers) and is an important variable in land-surface models that address a variety of scientific and application issues. The MCD18 products are based on a prototyping algorithm that uses multi-temporal signatures of MODIS data to derive surface reflectance and then calculate incident PAR using the look-up table (LUT) approach. The LUTs consider different types of loadings of aerosols and clouds at a variety of illumination/viewing geometry. Global PAR products are generated from MODIS and geostationary satellite data. Additional details regarding the methodology used to create the data are available in the Algorithm Theoretical Basis Document (ATBD).
Provided in the MOD18C2 product are layers for instantaneous PAR array for each individual MODIS overpass and 3-hour PAR array along with a View Zenith Angle layer.
Known Issues
- 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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Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A trait-based model to describe plant community dynamics in managed | Noler, Felix, Moulin, Thibault, Buzhdygan, Oksana, Tietjen, Britta, May, Felix | Land Use/Land Cover Classification | |
| Ecosystem carbon use efficiency at global scale from upscaling eddy-covariance data with machine learning and MODIS products | Campos-Taberner, M., Gilabert, M. A., Sanchez-Ruiz, S., Martinez, B., Jimenez-Guisado, A., Garcia-Haro, F. J. | Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux, Reflectance, Anisotropy, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Downscaling Photosynthetically Active Radiation Based on Two-step Conversions with Consideration of Vegetation Forms | Zhao, Yanhong, Jiang, Jinbao, Hou, Peng, Li, Kangning, Jiang, Yun, Qiao, Xiaojun | Reflectance, Albedo, Anisotropy, Shortwave Radiation, Land Use/Land Cover Classification | |
| Impacts of meteorological drought on peak vegetation productivity of grasslands from perspectives of canopy structure and leaf physiology | Bai, Wenrui, Wang, Huanjiong, Xiao, Jingfeng, Li, Xing, Ge, Quansheng | Land Use/Land Cover Classification, Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Solar-Induced Chlorophyll Fluorescence Yield Holds the Potential for | Behera, Subhrasita, T L, Elakkiyaa, Sarkar, Ananya, Dutta, Debsunder | Land Use/Land Cover Classification, 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, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Global Carbon Fluxes Using Multioutput Gaussian Processes Regression and MODIS Products | Campos-Taberner, Manuel, Gilabert, Maria Amparo, Sanchez-Ruiz, Sergio, Martinez, Beatriz, Jimenez-Guisado, Adrian, Garcia-Haro, Francisco Javier, Guanter, Luis | Reflectance, Anisotropy, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification | |
| Gross primary production-coupled evapotranspiration in the global arid | Su, Yanxin, Gan, Guojing, Bu, Jingyi, Yuan, Mengjia, Ma, Hongyu, Liu, Xianghe, Zhang, Yongqiang, Gao, Yanchun | Land Use/Land Cover Classification | |
| Mapping the ratoon rice suitability region in China using random forest and recursive feature elimination modeling | Wang, Yue, Li, Yuechen | Land Use/Land Cover Classification | |
| The weekly cycle of photosynthesis in Europe reveals the negative impact of particulate pollution on ecosystem productivity | He, Liyin, Rosa, Lorenzo, Lobell, David B., Wang, Yuan, Yin, Yi, Doughty, Russell, Yao, Yitong, Berry, Joseph A., Frankenberg, Christian | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Optical Depth/Thickness, Clouds, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Precipitable Water, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Vertical Distribution |
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 |
|---|---|---|---|---|---|---|---|
| GMT_0000_PAR | Total PAR at GMT 00:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_0300_PAR | Total PAR at GMT 03:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_0600_PAR | Total PAR at GMT 06:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_0900_PAR | Total PAR at GMT 09:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_1200_PAR | Total PAR at GMT 12:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_1500_PAR | Total PAR at GMT 15:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_1800_PAR | Total PAR at GMT 18:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |
| GMT_2100_PAR | Total PAR at GMT 21:00 | W/m² | float32 | -1 | 0 to 700 | N/A | N/A |