AGU期刊一周Research Spotlight
AGU发布最新Editor's Highlight和国外工作学习机会(Aug 30~Sep 6, 2019)
时间:2019年09月04日 08:24来源:www.3522com 点击数:

Reconstructing Natural Streamflow at Unprecedented Resolution

A new research effort has mapped 35 years of naturalized streamflow for 2.94 million river reaches worldwide: an invaluable dataset for hydrology, biogeochemistry, ecology, and remote sensing.

SOURCE: Water Resources Research

Estimated width and mean discharge of all mapped reaches (> 50 m width) that are observable by the upcoming SWOT mission that can measure water levels and indirectydischarge from space. This picture shows 8.8% of the reaches for which discharge time series were estimated. Credit: Lin et al. [2019], Figure 11

Knowing streamflow up to the smallest tributary is important for the understanding the global water cycle, the role of freshwater systems in nutrient and carbon cycling, and how water depths and velocities impact freshwater biodiversity. However, until now, streamflow was only available at resolutions coarser than 10 kilometers using global hydrological models or as observations at points.

A group of hydrologists from the United States, China, and Japan used a combination of hydrological modeling, over 14,000 streamflow observations, machine learning, and a new bias-correction method to estimate natural streamflow (without impacts of dams and water use) for over 2.94 million individual river reaches worldwide.

Lin et al. [2019] is not only an important resource for hydrological, biogeochemical and ecological research, but this dataset will also serve as a much-needed benchmark for estimating streamflow from space with the upcoming Surface Water and Ocean Topography (SWOT) mission.

Citation: Lin, P., Pan, M., Beck, H. E., Yang, Y., Yamazaki, D., Frasson, R., et al. [2019]. Global reconstruction of naturalized river flows at 2.94 million reaches. Water Resources Research, 55. https://doi.org/10.1029/2019WR02528

—Marc F. P. Bierkens, Editor, Water Resources Research




1.Faculty Positions in the Area of Understanding Land-Water Systems Using Data Analytics

The Pennsylvania State University, University Park, PA, USA

Penn State University


2.Earth Institute Postdoctoral Research Program in Sustainable Development

New York City, New York

Earth Institute, Columbia University


3.PhD Position at University of Waterloo, Canada

Waterloo (Region), Ontario (CA)

University of Waterloo


4.University of Michigan LSA Collegiate Fellow

Ann Arbor, Michigan

$60,000/year + benefits, relocation

University of Michigan - LSA Collegiate


5.Faculty Position in Crust/Lithosphere Evolution

Davis, California

UC Davis





地 址:北京大学廖凯原楼5层 511

邮 编:100871

电 话:010-62752344

传 真:010-62752344

邮 箱:pkuocean@pku.edu.cn

版权所有 strong>www.3522com_葡京集团-[官方网站] Copyright by ocean.pku.edu.cn @2017, All Rights Reserved.

XML 地图 | Sitemap 地图