Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR029035 |
A Synthetic Dataset Inspired by Satellite Altimetry and Impacts of Sampling on Global Spaceborne Discharge Characterization | |
Md. Safat Sikder; Matthew Bonnema; Charlotte M. Emery; Cé; dric H. David; Peirong Lin; Ming Pan; Sylvain Biancamaria; Michelle M. Gierach | |
2020-12-14 | |
发表期刊 | Water Resources Research |
出版年 | 2020 |
英文摘要 | Despite being a critical component of Earth’s water cycle, much remains unknown about freshwater fluxes in the world's rivers. Discharge can be estimated in situ by monitoring water surface elevation yet the declining worldwide coverage of gauges makes global discharge quantification challenging. Numerous studies have shown that satellite radar altimetry could provide global discharge estimates. In anticipation such groundbreaking datasets, one key question remains unanswered: how accurately could the various orbital configurations of altimetry missions capture global discharge distributions under optimal retrieval conditions? We here generate an idealized synthetic global discharge dataset following mission orbits, and present the first evaluation of various spatiotemporal sampling strategies on global discharge distribution estimation. Our data are produced by superimposing six measurement footprints representing nine altimetry missions onto existing global discharge simulations. While this approach assumes accurate simulations and ignores uncertainties in spaceborne discharge estimation, it allows for an upper limit assessment of how satellite missions might capture global characteristics of hydrographs. We show that most orbits used could lead to accurate global mean flow distribution (<7%), which was expected but never demonstrated. We also find that accurate distributions of minimum flow (resp. maximum flow and peak flow duration) require revisit times more frequent than 10 (resp. 5 and 5) days, i.e. finer than allowed by existing orbital strategies, and that global extreme discharge and peak flow distributions rely on temporal frequency rather than spatial coverage. Our analysis could inform future mission development and our dataset be used to support potential global gap‐filling experiments. This article is protected by copyright. All rights reserved. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/308221 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Md. Safat Sikder,Matthew Bonnema,Charlotte M. Emery,et al. A Synthetic Dataset Inspired by Satellite Altimetry and Impacts of Sampling on Global Spaceborne Discharge Characterization[J]. Water Resources Research,2020. |
APA | Md. Safat Sikder.,Matthew Bonnema.,Charlotte M. Emery.,Cé.,dric H. David.,...&Michelle M. Gierach.(2020).A Synthetic Dataset Inspired by Satellite Altimetry and Impacts of Sampling on Global Spaceborne Discharge Characterization.Water Resources Research. |
MLA | Md. Safat Sikder,et al."A Synthetic Dataset Inspired by Satellite Altimetry and Impacts of Sampling on Global Spaceborne Discharge Characterization".Water Resources Research (2020). |
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