Matches in SemOpenAlex for { <https://semopenalex.org/work/W2801786472> ?p ?o ?g. }
- W2801786472 endingPage "7560" @default.
- W2801786472 startingPage "7551" @default.
- W2801786472 abstract "Abstract Earth‐orbiting satellites provide valuable observations of upstream river conditions worldwide. These observations can be used in real‐time applications like early flood warning systems and reservoir operations, provided they are made available to users with sufficient lead time. Yet the temporal requirements for access to satellite‐based river data remain uncharacterized for time‐sensitive applications. Here we present a global approximation of flow wave travel time to assess the utility of existing and future low‐latency/near‐real‐time satellite products, with an emphasis on the forthcoming SWOT satellite mission. We apply a kinematic wave model to a global hydrography data set and find that global flow waves traveling at their maximum speed take a median travel time of 6, 4, and 3 days to reach their basin terminus, the next downstream city, and the next downstream dam, respectively. Our findings suggest that a recently proposed ≤2‐day data latency for a low‐latency SWOT product is potentially useful for real‐time river applications." @default.
- W2801786472 created "2018-05-17" @default.
- W2801786472 creator A5023022845 @default.
- W2801786472 creator A5025722957 @default.
- W2801786472 creator A5029388001 @default.
- W2801786472 creator A5043676798 @default.
- W2801786472 creator A5046953023 @default.
- W2801786472 date "2018-04-30" @default.
- W2801786472 modified "2023-10-17" @default.
- W2801786472 title "Global Estimates of River Flow Wave Travel Times and Implications for Low‐Latency Satellite Data" @default.
- W2801786472 cites W1518925839 @default.
- W2801786472 cites W1543844559 @default.
- W2801786472 cites W1654230740 @default.
- W2801786472 cites W1666288977 @default.
- W2801786472 cites W1826913668 @default.
- W2801786472 cites W1833708243 @default.
- W2801786472 cites W1964753341 @default.
- W2801786472 cites W1970776515 @default.
- W2801786472 cites W1974716874 @default.
- W2801786472 cites W1976734548 @default.
- W2801786472 cites W1978491118 @default.
- W2801786472 cites W1986837469 @default.
- W2801786472 cites W1988807196 @default.
- W2801786472 cites W1989494360 @default.
- W2801786472 cites W1989746171 @default.
- W2801786472 cites W1993175645 @default.
- W2801786472 cites W1997902052 @default.
- W2801786472 cites W1999780434 @default.
- W2801786472 cites W2006412613 @default.
- W2801786472 cites W2016107349 @default.
- W2801786472 cites W2017496690 @default.
- W2801786472 cites W2021324314 @default.
- W2801786472 cites W2024323702 @default.
- W2801786472 cites W2026766393 @default.
- W2801786472 cites W2032137277 @default.
- W2801786472 cites W2032226859 @default.
- W2801786472 cites W2033602192 @default.
- W2801786472 cites W2038765350 @default.
- W2801786472 cites W2055668893 @default.
- W2801786472 cites W2056177782 @default.
- W2801786472 cites W2064969216 @default.
- W2801786472 cites W2070053607 @default.
- W2801786472 cites W2089128787 @default.
- W2801786472 cites W2090447720 @default.
- W2801786472 cites W2108224792 @default.
- W2801786472 cites W2109557562 @default.
- W2801786472 cites W2129397653 @default.
- W2801786472 cites W2134710467 @default.
- W2801786472 cites W2157760198 @default.
- W2801786472 cites W2171675471 @default.
- W2801786472 cites W2208198711 @default.
- W2801786472 cites W2210177228 @default.
- W2801786472 cites W2332352552 @default.
- W2801786472 cites W2462089918 @default.
- W2801786472 cites W2494996264 @default.
- W2801786472 cites W2509673115 @default.
- W2801786472 cites W2572126400 @default.
- W2801786472 cites W2620109964 @default.
- W2801786472 cites W2754918155 @default.
- W2801786472 cites W2759508278 @default.
- W2801786472 cites W2773875735 @default.
- W2801786472 cites W2801786472 @default.
- W2801786472 cites W4247068621 @default.
- W2801786472 cites W71286975 @default.
- W2801786472 doi "https://doi.org/10.1029/2018gl077914" @default.
- W2801786472 hasPublicationYear "2018" @default.
- W2801786472 type Work @default.
- W2801786472 sameAs 2801786472 @default.
- W2801786472 citedByCount "37" @default.
- W2801786472 countsByYear W28017864722018 @default.
- W2801786472 countsByYear W28017864722019 @default.
- W2801786472 countsByYear W28017864722020 @default.
- W2801786472 countsByYear W28017864722021 @default.
- W2801786472 countsByYear W28017864722022 @default.
- W2801786472 countsByYear W28017864722023 @default.
- W2801786472 crossrefType "journal-article" @default.
- W2801786472 hasAuthorship W2801786472A5023022845 @default.
- W2801786472 hasAuthorship W2801786472A5025722957 @default.
- W2801786472 hasAuthorship W2801786472A5029388001 @default.
- W2801786472 hasAuthorship W2801786472A5043676798 @default.
- W2801786472 hasAuthorship W2801786472A5046953023 @default.
- W2801786472 hasBestOaLocation W28017864721 @default.
- W2801786472 hasConcept C127313418 @default.
- W2801786472 hasConcept C127413603 @default.
- W2801786472 hasConcept C146978453 @default.
- W2801786472 hasConcept C153294291 @default.
- W2801786472 hasConcept C154945302 @default.
- W2801786472 hasConcept C166957645 @default.
- W2801786472 hasConcept C18903297 @default.
- W2801786472 hasConcept C19269812 @default.
- W2801786472 hasConcept C205649164 @default.
- W2801786472 hasConcept C21547014 @default.
- W2801786472 hasConcept C2776207758 @default.
- W2801786472 hasConcept C2781468064 @default.
- W2801786472 hasConcept C29825287 @default.
- W2801786472 hasConcept C31258907 @default.
- W2801786472 hasConcept C39432304 @default.
- W2801786472 hasConcept C41008148 @default.