The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of a daily streamflow archive and metadata
Open accessAbstract
Abstract. 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.
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SoilGrids250m: Global gridded soil information based on machine learning
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., et al. (2017) · PLOS ONE · doi:10.1371/journal.pone.0169748 · Cited by 4,733
New Global Hydrography Derived from Spaceborne Elevation Data
Lehner, B., Verdin, K., & Jarvis, A. (2008) · Eos, Transactions American Geophysical Union · doi:10.1029/2008eo100001 · Cited by 2,411
A global data set of the extent of irrigated land from 1900 to 2005
Siebert, S., Kummu, M., Porkka, M., Döll, P., Ramankutty, N., & Scanlon, B. R. (2015) · Hydrology and Earth System Sciences · doi:10.5194/hess-19-1521-2015 · Cited by 519
Cited by
Zaherpour, J., Gosling, S. N., Mount, N., Schmied, H. M., Veldkamp, T. I. E., Dankers, R., Eisner, S., Gerten, D., Gudmundsson, L., Haddeland, I., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aac547 · Cited by 174
Self-citationCapping Human Water Footprints in the World's River Basins
Hogeboom, R. J., de Bruin, D., Schyns, J. F., Krol, M. S., & Hoekstra, A. Y. (2020) · Earth's Future · doi:10.1029/2019ef001363 · Cited by 75
Metadata
- Authors
- Do, H. X., Gudmundsson, L., Leonard, M., & Westra, S.
- Venue
- Earth System Science Data
- Publisher
- Copernicus GmbH
- Published
- 2018-04-17
- Volume
- 10
- Issue
- 2
- Pages
- 765-785
- ISSN
- 1866-3508 (ISSN-L)
- 1866-3516
- OpenAlex
- W2755407411
- Cited by
- 349
- References
- 3
- FWCI
- 11.35
- Type
- journal article
- Language
- en
- Open access
- gold
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