Spatial downscaling of precipitation using adaptable random forests

被引:0
|
作者
He, Xiaogang [1 ]
Chaney, Nathaniel W. [1 ,2 ]
Schleiss, Marc [1 ]
Sheffield, Justin [1 ,3 ]
机构
[1] Department of Civil and Environmental Engineering, Princeton University, Princeton,NJ, United States
[2] Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton,NJ, United States
[3] Geography and Environment, University of Southampton, Southampton, United Kingdom
来源
Water Resources Research | 2016年 / 52卷 / 10期
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Binary trees - Precipitation (meteorology) - Learning systems - Artificial intelligence
引用
收藏
页码:8217 / 8237
相关论文
共 50 条
  • [21] Machine learning and global vegetation: random forests for downscaling and gap filling
    van Jaarsveld, Barry
    Hauswirth, Sandra M.
    Wanders, Niko
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2024, 28 (11) : 2357 - 2374
  • [22] Comparison of three spatial downscaling concepts of GRACE data using random forest model
    Chu, Jiangdong
    Su, Xiaoling
    Zhang, Te
    Lei, Yisu
    Jiang, Tianliang
    Wu, Haijiang
    Wang, Qianyu
    Hupo Kexue/Journal of Lake Sciences, 2024, 36 (03): : 951 - 962
  • [23] Evaluation and spatial downscaling of CRU TS precipitation data in the Philippines
    Salvacion A.R.
    Magcale-Macandog D.B.
    Cruz P.C.S.
    Saludes R.B.
    Pangga I.B.
    Cumagun C.J.R.
    Modeling Earth Systems and Environment, 2018, 4 (3) : 891 - 898
  • [24] Spatial downscaling of TRMM-based precipitation data using vegetative response in Xinjiang, China
    Zhang, Qiang
    Shi, Peijun
    Singh, Vijay P.
    Fan, Keke
    Huang, Jiajun
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (10) : 3895 - 3909
  • [25] Spatial Downscaling of TRMM Precipitation Using an Optimal Regression Model with NDVI in Inner Mongolia, China
    Xie, Shengjin
    Liu, Yonghe
    Yao, Fengxin
    WATER RESOURCES, 2020, 47 (06) : 1054 - 1064
  • [26] High resolution spatial-temporal downscaling model for historical daily precipitation using INLA
    Garrett, Pedro
    Santos, Filipe Duarte
    Perdigao, Rui
    INTERNATIONAL JOURNAL OF GLOBAL WARMING, 2023, 30 (02) : 161 - 173
  • [27] Spatial Downscaling of TRMM Precipitation Using an Optimal Regression Model with NDVI in Inner Mongolia, China
    Yonghe Shengjin Xie
    Fengxin Liu
    Water Resources, 2020, 47 : 1054 - 1064
  • [28] Statistical downscaling of precipitation using quantile regression
    Tareghian, Reza
    Rasmussen, Peter F.
    JOURNAL OF HYDROLOGY, 2013, 487 : 122 - 135
  • [29] Integrating precipitation zoning with random forest regression for the spatial downscaling of satellite-based precipitation: A case study of the Lancang-Mekong River basin
    Zhang, Jing
    Fan, Hui
    He, Daming
    Chen, Jiwei
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (10) : 3947 - 3961
  • [30] Spatial downscaling of TRMM 3B43 precipitation considering spatial heterogeneity
    Chen, Fengrui
    Liu, Yu
    Liu, Qiang
    Li, Xi
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (09) : 3074 - 3093