CNRDv1.0: the China natural runoff dataset version 1.0

The quality-controlled gridded naturalized runoff dataset, the China natural runoff dataset version 1.0 (CNRD v1.0), is reconstructed by using a comprehensive model parameter uncertainty analysis framework within a land-surface model. CNRD v1.0 provides daily, monthly and annual 0.25° runoff estimates for the period 1961–2018 over China. CNRD v1.0 was generated using the Variable Infiltration Capacity model with a comprehensive parameter uncertainty analysis framework incorporating parameter sensitivity analysis, optimization and regionalization based on 200 natural or near-natural gauge catchments. <br> Global attributes: Variables = Total runoff (qtot) Data Types = Histrorical reconstruction Date format = NetCDF4 Temporal Range = 1961-01-01 to 2018-12-31 Spatial extent = 18.6250° N ~53.6250° N, 73.375° E ~135.1250° E Units = mm Missing value = -9999 _FillValue = -9999 <br> Publications: 1. Gou, J. J., Miao, C. Y., Duan, Q. Y., Tang, Q. H., Di, Z. H., Liao, W. H., Wu, J. W., &amp; Zhou, R. (2020). Sensitivity analysis-based automatic parameter calibration of the VIC model for streamflow simulations over China. Water Resources Research, 56: 1-19. https://doi.org/10.1029/2019wr025968;<br> 2. Gou, J. J., Miao, C. Y., Samaniego, L., Xiao, M., Wu, J. W. &amp; Guo, X. Y. (2021). CNRD v1.0: a high-quality natural runoff dataset for hydrological and climate studies in China. Bulletin of the American Meteorological Society, 102(5), E929-E947. https://doi.org/10.1175/BAMS-D-20-0094.1; 3. Miao, C.Y., Gou, J.J., Fu, B.J., Tang, Q.H., Duan, Q.Y., Chen, Z.S., Lei, H.M., Chen, J., Guo, J.L., Borthwick, A.G.L., Ding, W.F., Duan, X.W., Li, Y.G., Kong, D.X., Guo, X.Y., Wu, J.W. High-quality reconstruction of China’s natural streamflow. Science Bulletin, 2022, 67(5): 547-556. https://doi.org/10.1016/j.scib.2021.09.022. <br>

本数据集为经过质量控制的网格化天然径流数据集——中国天然径流数据集版本1.0（China Natural Runoff Dataset v1.0，以下简称CNRD v1.0），依托陆面模型内置的综合模型参数不确定性分析框架完成重构。CNRD v1.0提供了1961—2018年覆盖中国全域的日、月、年尺度0.25°分辨率径流估算结果。CNRD v1.0基于可变下渗能力模型（Variable Infiltration Capacity model，VIC模型）构建，采用整合参数敏感性分析、参数优化与区域化处理的综合参数不确定性分析框架，数据集构建依托200个天然或近天然水文测站流域完成。<br>全局属性：变量=总径流（Total runoff，qtot）；数据类型=历史重构；数据格式=NetCDF4；时间范围=1961-01-01至2018-12-31；空间范围=18.6250°N ~53.6250°N，73.375°E ~135.1250°E；单位=mm；缺失值=-9999；_FillValue=-9999<br>相关文献：1. Gou, J. J., Miao, C. Y., Duan, Q. Y., Tang, Q. H., Di, Z. H., Liao, W. H., Wu, J. W., & Zhou, R. (2020). 面向中国区域径流模拟的VIC模型敏感性分析自动参数率定. 《Water Resources Research》, 56: 1-19. https://doi.org/10.1029/2019wr025968;<br>2. Gou, J. J., Miao, C. Y., Samaniego, L., Xiao, M., Wu, J. W. & Guo, X. Y. (2021). CNRD v1.0：一款面向中国水文与气候研究的高质量天然径流数据集. 《美国气象学会通报》（Bulletin of the American Meteorological Society）, 102(5): E929-E947. https://doi.org/10.1175/BAMS-D-20-0094.1;<br>3. Miao, C.Y., Gou, J.J., Fu, B.J., Tang, Q.H., Duan, Q.Y., Chen, Z.S., Lei, H.M., Chen, J., Guo, J.L., Borthwick, A.G.L., Ding, W.F., Duan, X.W., Li, Y.G., Kong, D.X., Guo, X.Y., Wu, J.W. 中国天然径流的高质量重构. 《科学通报》（Science Bulletin）, 2022, 67(5): 547-556. https://doi.org/10.1016/j.scib.2021.09.022.

AI搜集汇总

背景与挑战

背景概述

CNRDv1.0是一个高质量的中国自然径流数据集，覆盖1961年至2018年，提供每日、每月和每年的0.25°分辨率径流估计。该数据集基于陆面模型和参数不确定性分析框架重建，适用于水文学和气候研究，数据格式为NetCDF，空间范围覆盖中国全境。