Vegetation Phenology and Climate Data for the Mongolian Plateau, 1982–2022
by Yichen Jiang·Updated 1mo ago
3.3 GB6files
Available on 1 platform
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Description
A 3.3 GB geospatial dataset combining climate reanalysis and satellite-derived vegetation indices for the Mongolian Plateau. The data includes monthly average temperature, precipitation, and solar radiation from ERA5-Land and 15-day NDVI data from GIMMS NDVI3g, covering the period from 1982 to 2022. It was authored by Yichen Jiang and last updated on figshare in May 2026.
Use Cases
Modeling the relationship between climate variables and vegetation phenology based on the monthly climate and 15-day NDVI data.
Extracting phenological metrics like the start, peak, and end of the growing season based on the GIMMS NDVI3g time series.
Analyzing long-term trends in climate and vegetation cover on the Mongolian Plateau over the 40-year period.
Validating or improving land surface phenology extraction algorithms using the recalibrated NDVI dataset.
Strengths
Long temporal coverage spanning 40 years from 1982 to 2022.
Integrates two established data sources: the high-resolution (0.1°) ERA5-Land climate reanalysis and the recalibrated GIMMS NDVI3g dataset.
Data volume of 3.3 GB suggests a substantial spatial and temporal resolution.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for specific modeling tasks.
The spatial resolution of the NDVI data is approximately 8 kilometers, which may be coarse for fine-scale ecological studies.
Provenance
Source
Climate data from ERA5-Land monthly reanalysis; phenology data from GIMMS NDVI3g dataset.
Collection Method
Climate data obtained from reanalysis; phenology data extracted from satellite NDVI time series.
Time Range
1982 to 2022
Freshness
Last updated 2026-05-06 06:06:16; freshness should be verified.