长江源和黄河源水资源时空分布数据集(1998-2017)
收藏国家青藏高原科学数据中心2022-09-09 更新2024-03-01 收录
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https://data.tpdc.ac.cn/zh-hans/data/94d90e88-9e17-4f48-828d-b5837d2a3fe0
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资源简介:
本数据是通过建立长江黄河源WEB-DHM分布式水文模型,以气温、降水、气压等作为输入数据,以GAME-TIBET数据作为验证数据,模拟输出的5km逐月水文数据集,包括格网径流与蒸发(若蒸发小于0,则表示凝华;若径流小于0,则表示当月降水小于蒸发)。数据是基于WEB-DHM分布式水文模型,以气温、降水、气温等(源自itp-forcing和CMA)为输入数据,以GLASS、MODIA、AVHRR为植被数据,SOILGRID及FAO为土壤参数建立起的模型,并通过对径流、土壤温湿度的率定与验证获得的1998-2017年长江黄河源5公里逐月格网径流与蒸发。若asc无法在arcmap中正常打开,请将asc文件前5行顶格。
This dataset is a 5 km monthly hydrological product derived from simulations using the WEB-DHM distributed hydrological model built for the source regions of the Yangtze and Yellow Rivers. It uses air temperature, precipitation, atmospheric pressure and other meteorological variables as input data, with the GAME-TIBET dataset serving as validation data. The dataset includes grid-based runoff and evaporation: if the evaporation value is less than 0, it represents sublimation; if the runoff value is less than 0, it indicates that the monthly precipitation is lower than the evaporation.
Furthermore, this dataset is generated based on the WEB-DHM distributed hydrological model, which takes air temperature, precipitation, air temperature and other datasets (sourced from itp-forcing and CMA) as input data, adopts GLASS, MODIA and AVHRR as vegetation datasets, and uses SOILGRID and FAO as soil parameter datasets. The model was calibrated and validated against runoff, soil temperature and soil moisture, and the final dataset covers 5 km monthly grid-based runoff and evaporation for the source regions of the Yangtze and Yellow Rivers from 1998 to 2017.
Note: If the .asc files cannot be opened normally in ArcMap, please left-align the first 5 lines of the .asc files without any indentation.
提供机构:
王磊
创建时间:
2019-07-03



