FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2980158082> ?p ?o ?g. }

• W2980158082 endingPage "528" @default.
• W2980158082 startingPage "518" @default.
• W2980158082 abstract "Due to the special geographical location and extreme climate environment, the polar regions (Antarctic and Arctic) have an important impact on global climate change. Atmospheric weighted mean temperature (Tm) is a crucial parameter in the retrieval of precipitable water vapor (PWV) from the zenith wet delay (ZWD) of ground-based Global Navigation Satellite System (GNSS) signal propagation. In this paper, the correlation between weighted mean temperature and surface temperature (Ts) is studied firstly. It is shown that the correlation coefficients between Tm and Ts are 0.93 in the Antarctic and 0.94 in the Arctic. The linear regression Tm model and quadratic function Tm model of the Antarctic and the Arctic are established respectively using the radiosonde profiles of 12 stations in the Antarctic and 58 stations in the Arctic from 2008 to 2015. The accuracies of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model which is a state-of-the-art global Tm model are verified using the radiosonde profiles from 2016 to 2018 in the Antarctic and Arctic. Root Mean Square (RMS) errors of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model in the Antarctic are 3.07 K, 2.87 K and 4.32 K respectively, and those in the Arctic are 3.53 K, 3.38 K and 4.82 K, which indicates that the quadratic function Tm model has a higher accuracy compared to linear regression Tm model, and the accuracies of the two regional Tm models are better than that of GPT2w Tm model in the polar regions. In order to better evaluate the accuracy of Tm in the PWV retrieval, the PWV values of radiosondes are used for comparisons as the reference value. The RMS errors of PWV derived from the two Tm models are similar for 1.28 mm in the Antarctic and 1 mm in the Arctic respectively. In addition, the spatial and temporal variation characteristics of Tm are analyzed in the polar regions by spectral analysis of Tm data using fast Fourier transform. The results show that the Tm has obvious seasonality and annual periodicity in the polar regions, and the maximum difference between warm season and cold season is about 63 K. After comparing and analyzing the influences of latitude, longitude and elevation on the Tm in the polar regions, it is found that latitude and elevation have a greater influence on the Tm than the longitude. As the latitude and elevation increase, the Tm decreases, and vice versa in the polar regions." @default.
• W2980158082 created "2019-10-18" @default.
• W2980158082 creator A5018329010 @default.
• W2980158082 creator A5032764121 @default.
• W2980158082 creator A5033880099 @default.
• W2980158082 creator A5039647917 @default.
• W2980158082 creator A5082201226 @default.
• W2980158082 date "2020-01-01" @default.
• W2980158082 modified "2023-10-17" @default.
• W2980158082 title "Establishment of atmospheric weighted mean temperature model in the polar regions" @default.
• W2980158082 cites W1020050588 @default.
• W2980158082 cites W1501330417 @default.
• W2980158082 cites W1974536365 @default.
• W2980158082 cites W1983985357 @default.
• W2980158082 cites W1994365791 @default.
• W2980158082 cites W2004218618 @default.
• W2980158082 cites W2004781150 @default.
• W2980158082 cites W2008251231 @default.
• W2980158082 cites W2018888583 @default.
• W2980158082 cites W2028726935 @default.
• W2980158082 cites W2040159701 @default.
• W2980158082 cites W2040624021 @default.
• W2980158082 cites W2045488359 @default.
• W2980158082 cites W2076486392 @default.
• W2980158082 cites W2081182187 @default.
• W2980158082 cites W2099473264 @default.
• W2980158082 cites W2107442290 @default.
• W2980158082 cites W2112306707 @default.
• W2980158082 cites W2119486063 @default.
• W2980158082 cites W2141042052 @default.
• W2980158082 cites W2141625559 @default.
• W2980158082 cites W2149112844 @default.
• W2980158082 cites W2149237966 @default.
• W2980158082 cites W2151536681 @default.
• W2980158082 cites W2156246326 @default.
• W2980158082 cites W2168883471 @default.
• W2980158082 cites W2169507597 @default.
• W2980158082 cites W2259916259 @default.
• W2980158082 cites W2323506469 @default.
• W2980158082 cites W2346521893 @default.
• W2980158082 cites W2563722572 @default.
• W2980158082 cites W2566058993 @default.
• W2980158082 cites W2783971858 @default.
• W2980158082 cites W2883761388 @default.
• W2980158082 cites W2921004868 @default.
• W2980158082 doi "https://doi.org/10.1016/j.asr.2019.10.001" @default.
• W2980158082 hasPublicationYear "2020" @default.
• W2980158082 type Work @default.
• W2980158082 sameAs 2980158082 @default.
• W2980158082 citedByCount "9" @default.
• W2980158082 countsByYear W29801580822020 @default.
• W2980158082 countsByYear W29801580822022 @default.
• W2980158082 countsByYear W29801580822023 @default.
• W2980158082 crossrefType "journal-article" @default.
• W2980158082 hasAuthorship W2980158082A5018329010 @default.
• W2980158082 hasAuthorship W2980158082A5032764121 @default.
• W2980158082 hasAuthorship W2980158082A5033880099 @default.
• W2980158082 hasAuthorship W2980158082A5039647917 @default.
• W2980158082 hasAuthorship W2980158082A5082201226 @default.
• W2980158082 hasConcept C105795698 @default.
• W2980158082 hasConcept C107054158 @default.
• W2980158082 hasConcept C111368507 @default.
• W2980158082 hasConcept C11999413 @default.
• W2980158082 hasConcept C121332964 @default.
• W2980158082 hasConcept C127313418 @default.
• W2980158082 hasConcept C1276947 @default.
• W2980158082 hasConcept C13280743 @default.
• W2980158082 hasConcept C139945424 @default.
• W2980158082 hasConcept C14279187 @default.
• W2980158082 hasConcept C153294291 @default.
• W2980158082 hasConcept C19269812 @default.
• W2980158082 hasConcept C192901106 @default.
• W2980158082 hasConcept C33923547 @default.
• W2980158082 hasConcept C39432304 @default.
• W2980158082 hasConcept C48921125 @default.
• W2980158082 hasConcept C49204034 @default.
• W2980158082 hasConcept C518008717 @default.
• W2980158082 hasConcept C53970728 @default.
• W2980158082 hasConcept C62520636 @default.
• W2980158082 hasConcept C71907059 @default.
• W2980158082 hasConcept C91586092 @default.
• W2980158082 hasConceptScore W2980158082C105795698 @default.
• W2980158082 hasConceptScore W2980158082C107054158 @default.
• W2980158082 hasConceptScore W2980158082C111368507 @default.
• W2980158082 hasConceptScore W2980158082C11999413 @default.
• W2980158082 hasConceptScore W2980158082C121332964 @default.
• W2980158082 hasConceptScore W2980158082C127313418 @default.
• W2980158082 hasConceptScore W2980158082C1276947 @default.
• W2980158082 hasConceptScore W2980158082C13280743 @default.
• W2980158082 hasConceptScore W2980158082C139945424 @default.
• W2980158082 hasConceptScore W2980158082C14279187 @default.
• W2980158082 hasConceptScore W2980158082C153294291 @default.
• W2980158082 hasConceptScore W2980158082C19269812 @default.
• W2980158082 hasConceptScore W2980158082C192901106 @default.
• W2980158082 hasConceptScore W2980158082C33923547 @default.
• W2980158082 hasConceptScore W2980158082C39432304 @default.
• W2980158082 hasConceptScore W2980158082C48921125 @default.
• W2980158082 hasConceptScore W2980158082C49204034 @default.

• next