清华大学黄小猛--中文主页--学术论文

黄小猛

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学科：大气科学

中文主页 > 科学研究 > 学术论文

[21] Tao, F., Huang, Y., Hungate, B. A., Lu, X., Hocking, T. D., Mishra, U., Hugelius, G., Huang, X., and Luo, Y.(2021). PROcess-guided deep learning and DAta-driven modelling (PRODA) uncovers key mechanisms underlying global soil carbon storage, 3rd ISMC Conference ─ Advances in Modeling Soil Systems, online, 18–22 May 2021, ISMC2021-10.
[22] Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K. and Zhang, Q. (2021). Separating emission and meteorological contributions to long-term PM 2.5 trends over eastern China during 2000–2018. Atmospheric Chemistry and Physics, 21(12), pp.9475-9496.
[23] Wang, J., Li, W., Ciais, P., Ballantyne, A., Goll, D., Huang, X., Zhao, Z. and Zhu, L.(2021). Changes in biomass turnover times in tropical forests and their environmental drivers from 2001 to 2012. Earth's Future, 9(1).
[24] Lin, Y., Huang, X., Liang, Y., Qin, Y., Xu, S., Huang, W., Xu, F., Liu, L., Wang, Y., Peng, Y., Wang, L., Xue, W., Fu, H., Zhang, G., Wang, B., Li, R., Zhang, C., Lu, H., Yang, K., Luo, Y., Bai, Y., Song, Z., Wang, M., Zhao, W., Zhang, F., Xu, J., Zhao, X., Lu, C., Chen, Y., Luo, Y., Hu, Y., Tang, Q., Chen, D., Yang, G. and Gong, P.(2020). Community Integrated Earth System Model (CIESM): Description and Evaluation. Journal of Advances in Modeling Earth Systems, 12(8), p.e2019MS002036.
[25] Han, Y., Zhang, G.J.(*), Huang, X(*). and Wang, Y.(2020). A moist physics parameterization based on deep learning. Journal of Advances in Modeling Earth Systems, 12(9), p.e2020MS002076.
[26] Tao, F., Zhou, Z., Huang, Y., Li, Q., Lu, X., Ma, S., Huang, X., Liang, Y., Hugelius, G., Jiang, L. and Doughty, R.(2020). Deep learning optimizes data-driven representation of soil organic carbon in Earth system model over the conterminous United States. Frontiers in big Data, 3, p.17.
[27] He, Y., Wang, B., Liu, L., Huang, W., Xu, S., Liu, J., Wang, Y., Li, L., Huang, X., Peng, Y. and Lin, Y.(2020). A DRP‐4DVar‐based coupled data assimilation system with a simplified off‐line localization technique for decadal predictions. Journal of Advances in Modeling Earth Systems, 12(4).
[28] Yao, P., Lu, H., Wang, W., Shao, C., Yang, K., Gianotti, D., Liu, Z., Huang, X. and Entekhabi, D.(2020). Soil Moisture Retrieval Only Using Smap L-Band Radar Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4586-4589). IEEE.
[29] He, Q., Yue, S., Lu, H., Liu, Z., Huang, X. and Entekhabi, D.(2020). Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4570-4573). IEEE.
[30] He, Y., Wang, B., Huang, W., Xu, S., Wang, Y., Liu, L., Li, L., Liu, J., Yu, Y., Lin, Y. and Huang, X.(2020). A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique. Climate Dynamics, 54(7), pp.3541-3559.

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[22] Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K. and Zhang, Q. (2021). Separating emission and meteorological contributions to long-term PM 2.5 trends over eastern China during 2000–2018. Atmospheric Chemistry and Physics, 21(12), pp.9475-9496.

[23] Wang, J., Li, W., Ciais, P., Ballantyne, A., Goll, D., Huang, X., Zhao, Z. and Zhu, L.(2021). Changes in biomass turnover times in tropical forests and their environmental drivers from 2001 to 2012. Earth's Future, 9(1).

[25] Han, Y., Zhang, G.J.(), Huang, X(). and Wang, Y.(2020). A moist physics parameterization based on deep learning. Journal of Advances in Modeling Earth Systems, 12(9), p.e2020MS002076.

[26] Tao, F., Zhou, Z., Huang, Y., Li, Q., Lu, X., Ma, S., Huang, X., Liang, Y., Hugelius, G., Jiang, L. and Doughty, R.(2020). Deep learning optimizes data-driven representation of soil organic carbon in Earth system model over the conterminous United States. Frontiers in big Data, 3, p.17.

[28] Yao, P., Lu, H., Wang, W., Shao, C., Yang, K., Gianotti, D., Liu, Z., Huang, X. and Entekhabi, D.(2020). Soil Moisture Retrieval Only Using Smap L-Band Radar Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4586-4589). IEEE.

[29] He, Q., Yue, S., Lu, H., Liu, Z., Huang, X. and Entekhabi, D.(2020). Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4570-4573). IEEE.

[30] He, Y., Wang, B., Huang, W., Xu, S., Wang, Y., Liu, L., Li, L., Liu, J., Yu, Y., Lin, Y. and Huang, X.(2020). A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique. Climate Dynamics, 54(7), pp.3541-3559.

个人信息

[22] Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K. and Zhang, Q. (2021). Separating emission and meteorological contributions to long-term PM 2.5 trends over eastern China during 2000–2018. Atmospheric Chemistry and Physics, 21(12), pp.9475-9496.

[23] Wang, J., Li, W., Ciais, P., Ballantyne, A., Goll, D., Huang, X., Zhao, Z. and Zhu, L.(2021). Changes in biomass turnover times in tropical forests and their environmental drivers from 2001 to 2012. Earth's Future, 9(1).

[25] Han, Y., Zhang, G.J.(*), Huang, X(*). and Wang, Y.(2020). A moist physics parameterization based on deep learning. Journal of Advances in Modeling Earth Systems, 12(9), p.e2020MS002076.

[26] Tao, F., Zhou, Z., Huang, Y., Li, Q., Lu, X., Ma, S., Huang, X., Liang, Y., Hugelius, G., Jiang, L. and Doughty, R.(2020). Deep learning optimizes data-driven representation of soil organic carbon in Earth system model over the conterminous United States. Frontiers in big Data, 3, p.17.

[28] Yao, P., Lu, H., Wang, W., Shao, C., Yang, K., Gianotti, D., Liu, Z., Huang, X. and Entekhabi, D.(2020). Soil Moisture Retrieval Only Using Smap L-Band Radar Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4586-4589). IEEE.

[29] He, Q., Yue, S., Lu, H., Liu, Z., Huang, X. and Entekhabi, D.(2020). Identifying Terrestrial Vegetation-Soil Moisture Oscillation from Satellite Observations. In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium (pp. 4570-4573). IEEE.

[30] He, Y., Wang, B., Huang, W., Xu, S., Wang, Y., Liu, L., Li, L., Liu, J., Yu, Y., Lin, Y. and Huang, X.(2020). A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique. Climate Dynamics, 54(7), pp.3541-3559.

[25] Han, Y., Zhang, G.J.(), Huang, X(). and Wang, Y.(2020). A moist physics parameterization based on deep learning. Journal of Advances in Modeling Earth Systems, 12(9), p.e2020MS002076.