The Global Streamflow Indices and Metadata Archive (GSIM) - Part 1: The production of a daily streamflow archive and metadata

被引：185

作者：

Do, Hong Xuan ^{[1
]}

Gudmundsson, Lukas ^{[2
]}

Leonard, Michael ^{[1
]}

Westra, Seth ^{[1
]}

机构：

[1] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA, Australia

[2] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland

来源：

EARTH SYSTEM SCIENCE DATA | 2018年 / 10卷 / 02期

基金：

澳大利亚研究理事会;

关键词：

FLOOD RISK; DATA SET; CLIMATE; RUNOFF; NETWORK; TRENDS; DISCHARGE; TIME; MAP;

D O I：

10.5194/essd-10-765-2018

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This is the first part of a two-paper series presenting the Global Streamflow Indices and Metadata archive (GSIM), a worldwide collection of metadata and indices derived from more than 35 000 daily streamflow time series. This paper focuses on the compilation of the daily streamflow time series based on 12 free-to-access streamflow databases (seven national databases and five international collections). It also describes the development of three metadata products (freely available at https://doi.pangaea.de/10.1594/PANGAEA.887477): (1) a GSIM catalogue collating basic metadata associated with each time series, (2) catchment boundaries for the contributing area of each gauge, and (3) catchment metadata extracted from 12 gridded global data products representing essential properties such as land cover type, soil type, and climate and topographic characteristics. The quality of the delineated catchment boundary is also made available and should be consulted in GSIM application. The second paper in the series then explores production and analysis of streamflow indices. Having collated an unprecedented number of stations and associated metadata, GSIM can be used to advance large-scale hydrological research and improve understanding of the global water cycle.

引用

页码：765 / 785

页数：21

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