Global gross primary production from vegetation photosynthesis model for 2017-2019
Fuente:
PANGAEA
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Format: | Dataset Open Access |
| Sprache: | en |
| Veröffentlicht: |
PANGAEA
2021
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1867168208822206464 |
|---|---|
| author | Zhang, Yao Xiao, Xiangming Wu, Xiaocui Zhou, Sha Zhang, Geli Qin, Yuanwei Dong, Jinwei Doughty, Russell |
| author_facet | Zhang, Yao Xiao, Xiangming Wu, Xiaocui Zhou, Sha Zhang, Geli Qin, Yuanwei Dong, Jinwei Doughty, Russell |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | This dataset contains 8-day temporal resolution, 500m spatial resolution gross primary production (GPP) estimation from vegetation photosynthesis model (VPM) for the entire globe during 2017-2019. The entire globe is divided into 290 sub area (tiles) under a sinusoidal projection. For each tile each year, there are 46 GeoTiff files, each one represents the average daily GPP during a 8-day period. Each GPP file is also associated with a quality control layer, which contains a Boolean value to indicate whether the data quality is good (0) or not (1). The simulated GPP is also validated against 113 eddy covariance flux tower across the globe. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_928381 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Global gross primary production from vegetation photosynthesis model for 2017-2019 Zhang, Yao Xiao, Xiangming Wu, Xiaocui Zhou, Sha Zhang, Geli Qin, Yuanwei Dong, Jinwei Doughty, Russell Binary Object; DATE/TIME; File name; gross primary production; photosynthesis; vegetation; global This dataset contains 8-day temporal resolution, 500m spatial resolution gross primary production (GPP) estimation from vegetation photosynthesis model (VPM) for the entire globe during 2017-2019. The entire globe is divided into 290 sub area (tiles) under a sinusoidal projection. For each tile each year, there are 46 GeoTiff files, each one represents the average daily GPP during a 8-day period. Each GPP file is also associated with a quality control layer, which contains a Boolean value to indicate whether the data quality is good (0) or not (1). The simulated GPP is also validated against 113 eddy covariance flux tower across the globe. |
| title | Global gross primary production from vegetation photosynthesis model for 2017-2019 |
| topic | Binary Object; DATE/TIME; File name; gross primary production; photosynthesis; vegetation; global |
| url | https://doi.org/10.1594/PANGAEA.928381 |