Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020WR029256 |
Toward improved comparisons between land‐surface‐water‐area estimates from a global river model and satellite observations | |
Xudong Zhou; Catherine Prigent; Dai Yamazaki | |
2021-04-29 | |
发表期刊 | Water Resources Research |
出版年 | 2021 |
英文摘要 | Land surface water is a key component of the global water cycle. Compared to remote sensing by satellites, both temporal extension and spatial continuity are superior in modeling of water surface area. However, overall evaluation of models representing different kinds of surface waters at the global scale is lacking. We estimated land surface water area (LSWA) using the Catchment‐based Macro‐scale Floodplain model (CaMa‐Flood), a global hydrodynamic model, and compared the estimates with Landsat at 3″ resolution (∼90m at the equator) globally. Results show that the two methodologies show agreement in the general spatial patterns of LSWA (e.g., major rivers and lakes, open‐to‐sky floodplains), but globally consistent mismatches are found under several land surface conditions. CaMa‐Flood underestimates LSWA in high northern latitudes and coastal areas, as the presence of isolated lakes in local depressions or small coastal rivers is not considered by the model’s physical assumptions. In contrast, model‐estimated LSWA is larger than Landsat estimates in forest‐covered areas (e.g., Amazon basin) due to the opacity of vegetation for optical satellite sensing, and in cropland areas due to the lack of dynamic water processes (e.g., re‐infiltration, evaporation, water consumption) and constraints of water infrastructure (e.g., canals, levees). These globally consistent differences can be reasonably explained by the model’s physical assumptions or optical satellite sensing characteristics. Applying filters (e.g., floodplain topography mask, forest and cropland mask) to the two datasets improves the reliability of comparison and allows the remaining local‐scale discrepancies to be attributed to locally varying factors (e.g., channel parameters, atmospheric forcing). 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/324949 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Xudong Zhou,Catherine Prigent,Dai Yamazaki. Toward improved comparisons between land‐surface‐water‐area estimates from a global river model and satellite observations[J]. Water Resources Research,2021. |
APA | Xudong Zhou,Catherine Prigent,&Dai Yamazaki.(2021).Toward improved comparisons between land‐surface‐water‐area estimates from a global river model and satellite observations.Water Resources Research. |
MLA | Xudong Zhou,et al."Toward improved comparisons between land‐surface‐water‐area estimates from a global river model and satellite observations".Water Resources Research (2021). |
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