Datasets
Data Sharing and Collaboration
Below are the data products developed and maintained by our research group. We are committed to open science and welcome colleagues to use these datasets for scientific research. If you have any questions during usage or are interested in data collaboration, please contact Prof. Wei at zhongwang007@gmail.com.
Dataset Categories
Hydrological Data
Data products for hydrological variables including evapotranspiration, runoff, soil moisture, and groundwater
View DatasetsMeteorological Data
Observation and forecast data for meteorological variables such as precipitation, temperature, humidity, and wind speed
View DatasetsEcological Data
Ecological and environmental data including vegetation coverage, leaf area index, and biomass
View DatasetsIsotope Data
Stable isotope data including water vapor isotopes and precipitation isotopes
View DatasetsStatic Data
Relatively stable surface characteristics data such as soil properties and terrain data
View DatasetsHydrological Data
Multimodal ML Global ET Dataset
Data FusionGlobal high-resolution evapotranspiration dataset based on multimodal machine learning framework fusing 13 state-of-the-art ET products from remote sensing, machine learning, land surface models, and reanalysis data using 462 flux tower observations.
Global Transpiration Partitioning Dataset
Model ProductGlobal transpiration partitioning data based on new ET partitioning algorithm combining global evapotranspiration estimates and LAI relationships for different vegetation types, upscaling site-level measurements globally.
Meteorological Data
Data products in this category are being organized. Stay tuned...
Ecological Data
Data products in this category are being organized. Stay tuned...
Static Data
China Soil Properties Dataset v2
Model ProductHigh-precision spatial distribution dataset of 23 soil physical and chemical properties over China based on 11,209 multi-source soil profiles and high-resolution soil-forming environment characterization using ensemble machine learning.
CoLM2024 CaMa-Flood River Network Dataset
Model ProductComprehensive river network maps designed for CoLM2024 land surface model coupled with CaMa-Flood river routing component. The dataset encompasses three geographical domains (Global, US, and China), each provided at two spatial resolutions (15-minute and 06-minute), with variants including dam parameterization and naturalized flow conditions, totaling 12 data products derived from the original CaMa-Flood dataset.
Isotope Data
Global Water Vapor Isotope Database
Site ObservationGlobal high temporal resolution water vapor isotope database using infrared laser spectroscopy, covering 35 sites in 15 Köppen climate zones from 2004-2017.
Thailand Precipitation Isotope Data
Site ObservationPrecipitation isotope observations from 6 sites in Thailand combined with isotope-incorporated atmospheric circulation model and trajectory analysis for understanding precipitation isotope controls in Southeast Asia.
IsoGSM 0.5-degree Simulation Data (nudged with ERA5)
Model ProductGlobal water isotope simulation data at 0.5-degree resolution based on the IsoGSM isotope-enabled atmospheric general circulation model, nudged with ERA5 reanalysis. This dataset provides high spatiotemporal resolution atmospheric and surface water isotope distributions for water cycle tracing and climate change research. Note: This data is generated from existing model codes, not original work.
Data Usage Guidelines
Data Access
Most data are freely available, while some specialized datasets require application. Please follow the instructions for each dataset to download or apply.
Citation Requirements
When publishing research results using our data, please cite according to the requirements in the data documentation and share your publication information with us.
Collaboration Opportunities
We welcome in-depth collaborative research based on data. If you are interested in collaboration, please contact us to discuss specific collaboration plans.
Technical Support
We provide technical support for data users. When encountering problems, please consult the technical documentation or contact us for assistance.