FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901219116> ?p ?o ?g. }

• W2901219116 endingPage "114" @default.
• W2901219116 startingPage "99" @default.
• W2901219116 abstract "CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 77:99-114 (2019) - DOI: https://doi.org/10.3354/cr01545 Prediction of climate variables by comparing the k-nearest neighbor method and MIROC5 outputs in an arid environment Hamid Reza Golkar Hamzee Yazd1, Nasrin Salehnia2,*, Sohrab Kolsoumi2, Gerrit Hoogenboom3 1Ferdows Branch, Islamic Azad University, PO Box 9771-848664, Ferdows, Iran 2Ferdowsi University of Mashhad, PO Box 9177-949207, Mashhad, Iran 3Institute for Sustainable Food Systems, University of Florida, PO Box 110570, Gainesville, Florida, USA *Corresponding author: salehnia61@gmail.com ABSTRACT: The goal of this study was to compare the ability of the k-nearest neighbors (k-NN) approach and the downscaled output from the MIROC5 model for generating daily precipitation (mm) and daily maximum and minimum temperature (Tmax and Tmin; °C) for an arid environment. For this study, data from the easternmost province of Iran, South Khorasan, were used for the period 1986 to 2015. We also used an ensemble method to decrease the uncertainty of the k-NN approach. Although, based on an initial evaluation, MIROC5 had better results, we also used the output results of k-NN alongside the MIROC5 data to generate future weather data for the period 2018 to 2047. Nash-Sutcliffe efficiency (NSE) between MIROC5 estimates and observed monthly Tmax ranged from 0.86 to 0.92, and from 0.89 to 0.93 for Tmin over the evaluation period (2006-2015). k-NN performed less well, with NSE between k-NN estimates and observed Tmax ranging from 0.54 to 0.64, and from 0.75 to 0.78 for Tmin. The MIROC5 simulated precipitation was close to observed historical values (-0.06 < NSE < 0.07), but the k-NN simulated precipitation was less accurate (-0.36 < NSE < -0.14). For the studied arid regions, the k-NN precipitation results compared poorly to the MIROC5 downscaling results. MIROC5 predicts increases in monthly Tmin and Tmax in summer and autumn and decreases in winter and spring, and decreases in winter monthly precipitation under RCP4.5 over the 2018-2047 period of this study. This study showed that the k-NN method should be expected to have inaccurate results for generating future data in comparison to the outputs of the MIROC5 model for arid environments. KEY WORDS: RCP4.5 · Statistical downscaling · Delta method · Ensemble · LARS-WG · Lut Desert Full text in pdf format Supplementary material PreviousNextCite this article as: Golkar Hamzee Yazd HR, Salehnia N, Kolsoumi S, Hoogenboom G (2019) Prediction of climate variables by comparing the k-nearest neighbor method and MIROC5 outputs in an arid environment. Clim Res 77:99-114. https://doi.org/10.3354/cr01545 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 77, No. 2. Online publication date: February 21, 2019 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2019 Inter-Research." @default.
• W2901219116 created "2018-11-29" @default.
• W2901219116 creator A5012470064 @default.
• W2901219116 creator A5032751389 @default.
• W2901219116 creator A5051855137 @default.
• W2901219116 creator A5073134321 @default.
• W2901219116 date "2019-02-21" @default.
• W2901219116 modified "2023-09-26" @default.
• W2901219116 title "Prediction of climate variables by comparing the knearest neighbor method and MIROC5 outputs in an arid environment" @default.
• W2901219116 cites W1540486682 @default.
• W2901219116 cites W1580095257 @default.
• W2901219116 cites W1652179195 @default.
• W2901219116 cites W1881525011 @default.
• W2901219116 cites W1896667768 @default.
• W2901219116 cites W1940609352 @default.
• W2901219116 cites W1976667948 @default.
• W2901219116 cites W1984909515 @default.
• W2901219116 cites W1994753696 @default.
• W2901219116 cites W2001039352 @default.
• W2901219116 cites W2002340384 @default.
• W2901219116 cites W2006750690 @default.
• W2901219116 cites W2026156015 @default.
• W2901219116 cites W2034174587 @default.
• W2901219116 cites W2047684491 @default.
• W2901219116 cites W2050687634 @default.
• W2901219116 cites W2053974573 @default.
• W2901219116 cites W2059760405 @default.
• W2901219116 cites W2059802742 @default.
• W2901219116 cites W2064908124 @default.
• W2901219116 cites W2070671624 @default.
• W2901219116 cites W2076812187 @default.
• W2901219116 cites W2084659960 @default.
• W2901219116 cites W2091206738 @default.
• W2901219116 cites W2093141926 @default.
• W2901219116 cites W2096239328 @default.
• W2901219116 cites W2099019225 @default.
• W2901219116 cites W2112702040 @default.
• W2901219116 cites W2115227615 @default.
• W2901219116 cites W2116549966 @default.
• W2901219116 cites W2125070304 @default.
• W2901219116 cites W2131957523 @default.
• W2901219116 cites W2132893580 @default.
• W2901219116 cites W2138216662 @default.
• W2901219116 cites W2142525306 @default.
• W2901219116 cites W2143082107 @default.
• W2901219116 cites W2147661078 @default.
• W2901219116 cites W2165463227 @default.
• W2901219116 cites W2171254377 @default.
• W2901219116 cites W2171984413 @default.
• W2901219116 cites W2172191993 @default.
• W2901219116 cites W2174601942 @default.
• W2901219116 cites W2319716473 @default.
• W2901219116 cites W2338533401 @default.
• W2901219116 cites W2561832137 @default.
• W2901219116 cites W2769136719 @default.
• W2901219116 cites W2774333692 @default.
• W2901219116 cites W2795831933 @default.
• W2901219116 cites W3104576280 @default.
• W2901219116 cites W4232478844 @default.
• W2901219116 doi "https://doi.org/10.3354/cr01545" @default.
• W2901219116 hasPublicationYear "2019" @default.
• W2901219116 type Work @default.
• W2901219116 sameAs 2901219116 @default.
• W2901219116 citedByCount "8" @default.
• W2901219116 countsByYear W29012191162019 @default.
• W2901219116 countsByYear W29012191162020 @default.
• W2901219116 countsByYear W29012191162021 @default.
• W2901219116 countsByYear W29012191162023 @default.
• W2901219116 crossrefType "journal-article" @default.
• W2901219116 hasAuthorship W2901219116A5012470064 @default.
• W2901219116 hasAuthorship W2901219116A5032751389 @default.
• W2901219116 hasAuthorship W2901219116A5051855137 @default.
• W2901219116 hasAuthorship W2901219116A5073134321 @default.
• W2901219116 hasBestOaLocation W29012191161 @default.
• W2901219116 hasConcept C105795698 @default.
• W2901219116 hasConcept C107054158 @default.
• W2901219116 hasConcept C111919701 @default.
• W2901219116 hasConcept C113238511 @default.
• W2901219116 hasConcept C127313418 @default.
• W2901219116 hasConcept C132651083 @default.
• W2901219116 hasConcept C150772632 @default.
• W2901219116 hasConcept C153294291 @default.
• W2901219116 hasConcept C154945302 @default.
• W2901219116 hasConcept C18903297 @default.
• W2901219116 hasConcept C205649164 @default.
• W2901219116 hasConcept C2385561 @default.
• W2901219116 hasConcept C33923547 @default.
• W2901219116 hasConcept C39432304 @default.
• W2901219116 hasConcept C41008148 @default.
• W2901219116 hasConcept C49204034 @default.
• W2901219116 hasConcept C86803240 @default.
• W2901219116 hasConceptScore W2901219116C105795698 @default.
• W2901219116 hasConceptScore W2901219116C107054158 @default.
• W2901219116 hasConceptScore W2901219116C111919701 @default.
• W2901219116 hasConceptScore W2901219116C113238511 @default.
• W2901219116 hasConceptScore W2901219116C127313418 @default.
• W2901219116 hasConceptScore W2901219116C132651083 @default.
• W2901219116 hasConceptScore W2901219116C150772632 @default.

• next