| Autor: |
Riggs, Ryan M., Allen, George H., Brinkerhoff, Craig B., Sikder, Safat, Wang, Jida |
| Rok vydání: |
2023 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.7781510 |
| Popis: |
Rivers and lakes are intrinsically connected waterbodies yet they are rarely used to hydrologically constrain one another with remote sensing. Here we begin to bridge the gap between river and lake hydrology with the introduction of the LakeFlow algorithm. LakeFlow uses river-lake mass conservation and observations from the Surface Water and Ocean Topography (SWOT) satellite to provide river discharge estimates of lake and reservoir inflows and outflows. We test LakeFlow performance at three lakes using a synthetic SWOT data set assuming the maximum measurement errors defined by the mission science requirements, and we include modeled lateral inflow and lake evaporation data to further constrain the mass balance. We find that LakeFlow produces promising discharge estimates (median Nash-Sutcliffe efficiency = 0.88, relative bias = 14%). LakeFlow can inform water resources management by providing global lake inflow and outflow estimates, highlighting a path for recognizing rivers and lakes as an interconnected system. NASA SWOT Science Team [80NSSC20K1143]; Texas A&M Presidential Excellence Fund; Texas Space Grant Consortium; NASA Future Investigators in Earth and Space Science Fellowship [80NSSC21K1591] Published version This work was supported by the NASA SWOT Science Team (Grant 80NSSC20K1143), the Texas A & M Presidential Excellence Fund, and the Texas Space Grant Consortium. Craig Brinkerhoff was funded by a NASA Future Investigators in Earth and Space Science Fellowship (80NSSC21K1591). The authors would like to acknowledge Aote Xin and Sarah Sorel at Kansas State University for their assistance in synthetic data generation. The authors acknowledge members of the SWOT discharge algorithm working group for their feedback in the early stages of algorithm development. The authors would like to also acknowledge Valeriy Ivanov, Cassandra Nickles and an anonymous reviewer for their feedback which helped to improve the manuscript quality. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
