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Models模型产品

Models developed by the group, with code, products and related links.课题组发展的模型，以及代码、产品与相关链接。

July七月 PML-V2.2 evapotranspiration, mean of 2001–2020PML-V2.2 蒸散发，2001–2020 年平均

0150 mm per month150 毫米/月

Temporal coverage时间覆盖

PML_V2 2002.07 – near present
CR_v3.0 1982 – 2025

PML_V2

PML_V2 (Penman–Monteith–Leuning Version 2) is a water–carbon coupled diagnostic biophysical model. It couples a photosynthesis scheme and canopy stomatal conductance with the Penman–Monteith equation to estimate vegetation transpiration, soil evaporation, interception, and gross primary production (GPP) together. Zhang et al. (2019, Remote Sensing of Environment) mapped global ET and GPP at 500 m and 8-day resolution, taking MODIS leaf area index, albedo and emissivity together with GLDAS meteorological forcing. Products are available on Google Earth Engine and at the National Tibetan Plateau Data Center; model code is on GitHub.PML_V2（Penman–Monteith–Leuning 第二版）是水–碳耦合的诊断生物物理模型，将光合作用与冠层气孔导度耦合到 Penman–Monteith 方程，联合估算植被蒸腾、土壤蒸发、截留蒸发和总初级生产力（GPP）。Zhang 等 2019 年发表于 Remote Sensing of Environment 的研究以 MODIS 叶面积指数、反照率和比辐射率以及 GLDAS 气象强迫为输入，制作了 500 米、8 天分辨率的全球蒸散发与 GPP 产品，数据发布于 Google Earth Engine 和国家青藏高原科学数据中心，模型代码见 GitHub。

Scope范围	Global
Variables变量	ET, ET components, GPP
Time step时间分辨率	8-day
Grid空间分辨率	500 m · 0.05°
Period时段	2002.07 – near present

Links相关链接

How to cite引用方式

Zhang, Y., Kong, D., Gan, R., Chiew, F. H. S., McVicar, T. R., Zhang, Q., & Yang, Y. (2019). Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017. Remote Sensing of Environment, 222, 165–182. https://doi.org/10.1016/j.rse.2018.12.031.
Zhang, Y., Peña-Arancibia, J. L., McVicar, T. R., Chiew, F. H. S., Vaze, J., Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y. Y., Miralles, D. G., & Pan, M. (2016). Multi-decadal trends in global terrestrial evapotranspiration and its components. Scientific Reports, 6, 19124. https://doi.org/10.1038/srep19124.

CAS-Canglong

CAS-Canglong (中科苍龙) is a 3-D Earth-specific transformer that learns the coupled ocean–atmosphere system from ERA5 and predicts monthly global sea-surface temperature (SST) and ENSO. In the Advanced Science (2026) paper, one-to-three-month SST skill improves by 55.6 ± 14.1 % to 63.4 ± 15.5 % over physics-based seasonal models in six ocean regions that dominate sub-seasonal to seasonal variability over land. The project releases code on GitHub, live 16-month outlooks at canglong.earth, and a 12-month probabilistic SST and ENSO model on Hugging Face.“中科苍龙”（CAS-Canglong）是面向全球海表温度（SST）与 ENSO 次季节至季节预测的三维地球 Transformer 模型，由 ERA5 学习海气耦合过程并给出逐月预报。2026 年发表于 Advanced Science 的论文表明，在主导陆地 S2S 变率的六个海区，1–3 个月海温预报技巧相对物理季节模式提高 55.6±14.1% 至 63.4±15.5%。项目在 GitHub 开源，并在 canglong.earth 发布最长 16 个月的业务展望，在 Hugging Face 发布 12 个月概率预报。

Scope范围	Global
Variables变量	SST, ENSO
Time step时间分辨率	Monthly forecasts, leads of 1–16 months
Grid空间分辨率	0.25°
Period时段	Forecast leads of 1–16 months

Links相关链接

How to cite引用方式

Wang, L., Zhang, X., Leung, R. L., Chiew, F. H. S., AghaKouchak, A., Ying, K., & Zhang, Y. (2026). Improved Skills for Predicting Sub-Seasonal to Seasonal Global Sea Surface Temperature. Advanced Science, e78271. https://doi.org/10.1002/advs.78271.

CR_v3.0

Global terrestrial evapotranspiration estimated by the calibration-free complementary relationship model (Version 3.0). Forcing includes air temperature and relative humidity from JRA3Q, and net radiation and wind speed from ERA5, with net radiation corrected against CERES. V3 is an upgraded version of V2; earlier versions are deprecated.由无需率定的互补关系模型估算的全球陆地蒸散发产品（第 3 版）。驱动数据为 JRA3Q 的气温和相对湿度，以及 ERA5 的净辐射和风速，其中净辐射已对照 CERES 订正。V3 为 V2 的升级版，早期版本不再推荐使用。

Scope范围	Global
Variables变量	ET
Time step时间分辨率	Monthly · annual
Grid空间分辨率	0.25°
Period时段	1982 – 2025

Links相关链接

How to cite引用方式

Ma, N., Szilagyi, J., & Zhang, Y. (2023). Global terrestrial evapotranspiration dataset derived from complementary-relationship method (Version 3.0). National Cryosphere Desert Data Center. https://doi.org/10.12072/ncdc.et.db4024.2023.
Ma, N., Szilagyi, J., & Zhang, Y. (2021). Calibration-Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally. Water Resources Research, 57(9), e2021WR029691. https://doi.org/10.1029/2021WR029691.