TY - JOUR
T1 - The Surface Water and Ocean Topography Mission (SWOT) Prior Lake Database (PLD)
T2 - Lake Mask and Operational Auxiliaries
AU - Wang, Jida
AU - Pottier, Claire
AU - Cazals, Cécile
AU - Battude, Marjorie
AU - Sheng, Yongwei
AU - Song, Chunqiao
AU - Sikder, Md Safat
AU - Yang, Xiao
AU - Ke, Linghong
AU - Delhoume, Manon
AU - Gosset, Marielle
AU - Oliveira, Rafael Reis Alencar
AU - Grippa, Manuela
AU - Girard, Félix
AU - Allen, George H.
AU - Xu, Xiangtao
AU - Zhu, Xiaolin
AU - Biancamaria, Sylvain
AU - Smith, Laurence C.
AU - Crétaux, Jean François
AU - Pavelsky, Tamlin M.
N1 - J. W., G. H. A., and Y. S. acknowledge the support of NASA Surface Water and Ocean Topography (SWOT) Science Team Grant\u00A080NSSC20K1143. Y. S. acknowledges NASA SWOT Science Team Grant NNX16AH85G and USGS/NASA Landsat Science Team Grant G12PC00071. L. C. S. acknowledges NASA SWOT Science Team Grant 80NSSC20K1144. The authors also extend their gratitude to David Seekell at Atle Investment Services, Sweden and B.B. Cael at the National Oceanography Center, UK for their assistance in accessing the ViVaN (Virtuellt Vattendrags N\u00E4tverk, \u201Cvirtual watercourse network\u201D for Sweden) dataset.
J. W., G. H. A., and Y. S. acknowledge the support of NASA Surface Water and Ocean Topography (SWOT) Science Team Grant 80NSSC20K1143. Y. S. acknowledges NASA SWOT Science Team Grant NNX16AH85G and USGS/NASA Landsat Science Team Grant G12PC00071. L. C. S. acknowledges NASA SWOT Science Team Grant 80NSSC20K1144. The authors also extend their gratitude to David Seekell at Atle Investment Services, Sweden and B.B. Cael at the National Oceanography Center, UK for their assistance in accessing the ViVaN (Virtuellt Vattendrags N\u00E4tverk, \u201Cvirtual watercourse network\u201D for Sweden) dataset.
PY - 2025/3
Y1 - 2025/3
N2 - Lakes are among the most prevalent and predominant water repositories on the Earth's land surface. A primary objective of the Surface Water and Ocean Topography (SWOT) satellite mission is to monitor surface water elevation, area, and storage change in lakes globally. To meet this objective, prior information on lakes, such as locations and benchmark extents, is required to organize SWOT's KaRIn observations for computing lake storage variation over time. Here, we present the SWOT mission Prior Lake Database (PLD) to fulfill this requirement. This paper emphasizes the development of the “operational PLD,” which consists of (a) a high-resolution mask encompassing approximately 6 million lakes and reservoirs that meet the minimum size criterion of 1 ha, as defined in SWOT’s lake observation science goals, and (b) multiple operational auxiliaries that support the lake mask in generating SWOT's standard lake vector data products. We built the prior lake mask by harmonizing the UCLA Circa-2015 Global Lake Dataset and several state-of-the-art reservoir databases. Operational auxiliaries were produced from multi-theme geospatial data to provide essential information for PLD functionality, including lake catchments and influence areas, ice phenology, relationship with SWOT prior rivers, and spatiotemporal coverage by SWOT overpasses. Globally, over three quarters of the prior lakes are smaller than 10 ha. About 97% of the lakes, constituting half of the global lake area, are fully observed at least once per orbit cycle. The PLD will be recursively improved throughout the mission lifetime and serves as a critical framework for organizing, processing, and interpreting SWOT observations over lacustrine environments with fundamental significance to lake system science.
AB - Lakes are among the most prevalent and predominant water repositories on the Earth's land surface. A primary objective of the Surface Water and Ocean Topography (SWOT) satellite mission is to monitor surface water elevation, area, and storage change in lakes globally. To meet this objective, prior information on lakes, such as locations and benchmark extents, is required to organize SWOT's KaRIn observations for computing lake storage variation over time. Here, we present the SWOT mission Prior Lake Database (PLD) to fulfill this requirement. This paper emphasizes the development of the “operational PLD,” which consists of (a) a high-resolution mask encompassing approximately 6 million lakes and reservoirs that meet the minimum size criterion of 1 ha, as defined in SWOT’s lake observation science goals, and (b) multiple operational auxiliaries that support the lake mask in generating SWOT's standard lake vector data products. We built the prior lake mask by harmonizing the UCLA Circa-2015 Global Lake Dataset and several state-of-the-art reservoir databases. Operational auxiliaries were produced from multi-theme geospatial data to provide essential information for PLD functionality, including lake catchments and influence areas, ice phenology, relationship with SWOT prior rivers, and spatiotemporal coverage by SWOT overpasses. Globally, over three quarters of the prior lakes are smaller than 10 ha. About 97% of the lakes, constituting half of the global lake area, are fully observed at least once per orbit cycle. The PLD will be recursively improved throughout the mission lifetime and serves as a critical framework for organizing, processing, and interpreting SWOT observations over lacustrine environments with fundamental significance to lake system science.
KW - altimetry
KW - lake
KW - Radar Interferometer
KW - reservoir
KW - river
KW - surface water and ocean topography (SWOT)
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U2 - 10.1029/2023WR036896
DO - 10.1029/2023WR036896
M3 - Article
AN - SCOPUS:105000947091
SN - 0043-1397
VL - 61
JO - Water Resources Research
JF - Water Resources Research
IS - 3
M1 - e2023WR036896
ER -