Matches in SemOpenAlex for { <https://semopenalex.org/work/W2940474974> ?p ?o ?g. }
- W2940474974 endingPage "823" @default.
- W2940474974 startingPage "823" @default.
- W2940474974 abstract "The research features how parallel computing can advance hydrological performances associated with different calibration schemes (SCOs). The result shows that parallel computing can save up to 90% execution time, while achieving 81% simulation improvement. Basic statistics, including (1) index of agreement (D), (2) coefficient of determination (R2), (3) root mean square error (RMSE), and (4) percentage of bias (PBIAS) are used to evaluate simulation performances after model calibration in computer parallelism. Once the best calibration scheme is selected, additional efforts are made to improve model performances at the selected calibration target points, while the Rescaled Adjusted Partial Sums (RAPS) is used to evaluate the trend in annual streamflow. The qualitative result of reducing execution time by 86% on average indicates that parallel computing is another avenue to advance hydrologic simulations in the urban-rural interface, such as the Boise River Watershed, Idaho. Therefore, this research will provide useful insights for hydrologists to design and set up their own hydrological modeling exercises using the cost-effective parallel computing described in this case study." @default.
- W2940474974 created "2019-05-03" @default.
- W2940474974 creator A5056496822 @default.
- W2940474974 creator A5083719575 @default.
- W2940474974 date "2019-04-19" @default.
- W2940474974 modified "2023-09-26" @default.
- W2940474974 title "Quantifying the Performances of the Semi-Distributed Hydrologic Model in Parallel Computing—A Case Study" @default.
- W2940474974 cites W1964280666 @default.
- W2940474974 cites W1966199647 @default.
- W2940474974 cites W1969483783 @default.
- W2940474974 cites W1970205676 @default.
- W2940474974 cites W1975238493 @default.
- W2940474974 cites W1981374731 @default.
- W2940474974 cites W1983540129 @default.
- W2940474974 cites W1990612330 @default.
- W2940474974 cites W2008482470 @default.
- W2940474974 cites W2009319975 @default.
- W2940474974 cites W2014477418 @default.
- W2940474974 cites W2018449289 @default.
- W2940474974 cites W2018562768 @default.
- W2940474974 cites W2022340651 @default.
- W2940474974 cites W2032581045 @default.
- W2940474974 cites W2033904036 @default.
- W2940474974 cites W2035152756 @default.
- W2940474974 cites W2035742041 @default.
- W2940474974 cites W2037460094 @default.
- W2940474974 cites W2037511922 @default.
- W2940474974 cites W2042170888 @default.
- W2940474974 cites W2048060061 @default.
- W2940474974 cites W2048928083 @default.
- W2940474974 cites W2051778299 @default.
- W2940474974 cites W2058998445 @default.
- W2940474974 cites W2060975319 @default.
- W2940474974 cites W2071105236 @default.
- W2940474974 cites W2080618709 @default.
- W2940474974 cites W2090137585 @default.
- W2940474974 cites W2090576362 @default.
- W2940474974 cites W2094809497 @default.
- W2940474974 cites W2104149972 @default.
- W2940474974 cites W2112872562 @default.
- W2940474974 cites W2114635379 @default.
- W2940474974 cites W2121694226 @default.
- W2940474974 cites W2123082490 @default.
- W2940474974 cites W2132417139 @default.
- W2940474974 cites W2134604458 @default.
- W2940474974 cites W2137831162 @default.
- W2940474974 cites W2141852148 @default.
- W2940474974 cites W2152977202 @default.
- W2940474974 cites W2170272752 @default.
- W2940474974 cites W2334475182 @default.
- W2940474974 cites W2914609490 @default.
- W2940474974 cites W4236421180 @default.
- W2940474974 doi "https://doi.org/10.3390/w11040823" @default.
- W2940474974 hasPublicationYear "2019" @default.
- W2940474974 type Work @default.
- W2940474974 sameAs 2940474974 @default.
- W2940474974 citedByCount "7" @default.
- W2940474974 countsByYear W29404749742019 @default.
- W2940474974 countsByYear W29404749742020 @default.
- W2940474974 countsByYear W29404749742021 @default.
- W2940474974 countsByYear W29404749742022 @default.
- W2940474974 countsByYear W29404749742023 @default.
- W2940474974 crossrefType "journal-article" @default.
- W2940474974 hasAuthorship W2940474974A5056496822 @default.
- W2940474974 hasAuthorship W2940474974A5083719575 @default.
- W2940474974 hasBestOaLocation W29404749741 @default.
- W2940474974 hasConcept C105795698 @default.
- W2940474974 hasConcept C119857082 @default.
- W2940474974 hasConcept C126197015 @default.
- W2940474974 hasConcept C126645576 @default.
- W2940474974 hasConcept C127313418 @default.
- W2940474974 hasConcept C134306372 @default.
- W2940474974 hasConcept C139945424 @default.
- W2940474974 hasConcept C150547873 @default.
- W2940474974 hasConcept C165838908 @default.
- W2940474974 hasConcept C173608175 @default.
- W2940474974 hasConcept C177264268 @default.
- W2940474974 hasConcept C187320778 @default.
- W2940474974 hasConcept C199360897 @default.
- W2940474974 hasConcept C205649164 @default.
- W2940474974 hasConcept C2781172179 @default.
- W2940474974 hasConcept C33923547 @default.
- W2940474974 hasConcept C41008148 @default.
- W2940474974 hasConcept C49204034 @default.
- W2940474974 hasConcept C53739315 @default.
- W2940474974 hasConcept C58640448 @default.
- W2940474974 hasConcept C76886044 @default.
- W2940474974 hasConcept C77618280 @default.
- W2940474974 hasConcept C83283714 @default.
- W2940474974 hasConceptScore W2940474974C105795698 @default.
- W2940474974 hasConceptScore W2940474974C119857082 @default.
- W2940474974 hasConceptScore W2940474974C126197015 @default.
- W2940474974 hasConceptScore W2940474974C126645576 @default.
- W2940474974 hasConceptScore W2940474974C127313418 @default.
- W2940474974 hasConceptScore W2940474974C134306372 @default.
- W2940474974 hasConceptScore W2940474974C139945424 @default.
- W2940474974 hasConceptScore W2940474974C150547873 @default.
- W2940474974 hasConceptScore W2940474974C165838908 @default.