FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1972623330> ?p ?o ?g. }

• W1972623330 abstract "[1] The long-term stability, high accuracy, all-weather capability, high vertical resolution, and global coverage of Global Navigation Satellite System (GNSS) radio occultation (RO) suggests it as a promising tool for global monitoring of atmospheric temperature change. With the aim to investigate and quantify how well a GNSS RO observing system is able to detect climate trends, we are currently performing an (climate) observing system simulation experiment over the 25-year period 2001 to 2025, which involves quasi-realistic modeling of the neutral atmosphere and the ionosphere. We carried out two climate simulations with the general circulation model MAECHAM5 (Middle Atmosphere European Centre/Hamburg Model Version 5) of the MPI-M Hamburg, covering the period 2001–2025: One control run with natural variability only and one run also including anthropogenic forcings due to greenhouse gases, sulfate aerosols, and tropospheric ozone. On the basis of this, we perform quasi-realistic simulations of RO observables for a small GNSS receiver constellation (six satellites), state-of-the-art data processing for atmospheric profiles retrieval, and a statistical analysis of temperature trends in both the “observed” climatology and the “true” climatology. Here we describe the setup of the experiment and results from a test bed study conducted to obtain a basic set of realistic estimates of observational errors (instrument- and retrieval processing-related errors) and sampling errors (due to spatial-temporal undersampling). The test bed results, obtained for a typical summer season and compared to the climatic 2001–2025 trends from the MAECHAM5 simulation including anthropogenic forcing, were found encouraging for performing the full 25-year experiment. They indicated that observational and sampling errors (both contributing about 0.2 K) are consistent with recent estimates of these errors from real RO data and that they should be sufficiently small for monitoring expected temperature trends in the global atmosphere over the next 10 to 20 years in most regions of the upper troposphere and lower stratosphere (UTLS). Inspection of the MAECHAM5 trends in different RO-accessible atmospheric parameters (microwave refractivity and pressure/geopotential height in addition to temperature) indicates complementary climate change sensitivity in different regions of the UTLS so that optimized climate monitoring shall combine information from all climatic key variables retrievable from GNSS RO data." @default.
• W1972623330 created "2016-06-24" @default.
• W1972623330 creator A5004779356 @default.
• W1972623330 creator A5026471003 @default.
• W1972623330 creator A5063982578 @default.
• W1972623330 creator A5079253870 @default.
• W1972623330 creator A5085939264 @default.
• W1972623330 creator A5087678285 @default.
• W1972623330 date "2008-06-06" @default.
• W1972623330 modified "2023-10-13" @default.
• W1972623330 title "An observing system simulation experiment for climate monitoring with GNSS radio occultation data: Setup and test bed study" @default.
• W1972623330 cites W1512376026 @default.
• W1972623330 cites W1544159458 @default.
• W1972623330 cites W1579630985 @default.
• W1972623330 cites W1646759236 @default.
• W1972623330 cites W1660430253 @default.
• W1972623330 cites W1963676515 @default.
• W1972623330 cites W1964426487 @default.
• W1972623330 cites W1964802290 @default.
• W1972623330 cites W1968251786 @default.
• W1972623330 cites W1977044641 @default.
• W1972623330 cites W1980022331 @default.
• W1972623330 cites W1981254092 @default.
• W1972623330 cites W1990532709 @default.
• W1972623330 cites W1995715587 @default.
• W1972623330 cites W2001432309 @default.
• W1972623330 cites W2006650032 @default.
• W1972623330 cites W2009699397 @default.
• W1972623330 cites W2011012882 @default.
• W1972623330 cites W2017628975 @default.
• W1972623330 cites W2024018771 @default.
• W1972623330 cites W2024214153 @default.
• W1972623330 cites W2024715391 @default.
• W1972623330 cites W2024991707 @default.
• W1972623330 cites W2038936773 @default.
• W1972623330 cites W2044880458 @default.
• W1972623330 cites W2047638950 @default.
• W1972623330 cites W2051693931 @default.
• W1972623330 cites W2061791219 @default.
• W1972623330 cites W2064333355 @default.
• W1972623330 cites W2064551242 @default.
• W1972623330 cites W2074274144 @default.
• W1972623330 cites W2075988372 @default.
• W1972623330 cites W2079985720 @default.
• W1972623330 cites W2088333909 @default.
• W1972623330 cites W2090284691 @default.
• W1972623330 cites W2091791375 @default.
• W1972623330 cites W2097565513 @default.
• W1972623330 cites W2103237152 @default.
• W1972623330 cites W2103761658 @default.
• W1972623330 cites W2118194640 @default.
• W1972623330 cites W2120653142 @default.
• W1972623330 cites W2121898230 @default.
• W1972623330 cites W2126219706 @default.
• W1972623330 cites W2138949209 @default.
• W1972623330 cites W2139861019 @default.
• W1972623330 cites W2146374367 @default.
• W1972623330 cites W2151636936 @default.
• W1972623330 cites W2155289875 @default.
• W1972623330 cites W2157002639 @default.
• W1972623330 cites W2159431720 @default.
• W1972623330 cites W2162482535 @default.
• W1972623330 cites W2168407872 @default.
• W1972623330 cites W2170292046 @default.
• W1972623330 cites W2171612194 @default.
• W1972623330 cites W2187143809 @default.
• W1972623330 cites W4231157911 @default.
• W1972623330 cites W75790908 @default.
• W1972623330 cites W89494766 @default.
• W1972623330 cites W99322621 @default.
• W1972623330 doi "https://doi.org/10.1029/2007jd009231" @default.
• W1972623330 hasPublicationYear "2008" @default.
• W1972623330 type Work @default.
• W1972623330 sameAs 1972623330 @default.
• W1972623330 citedByCount "40" @default.
• W1972623330 countsByYear W19726233302012 @default.
• W1972623330 countsByYear W19726233302013 @default.
• W1972623330 countsByYear W19726233302014 @default.
• W1972623330 countsByYear W19726233302015 @default.
• W1972623330 countsByYear W19726233302016 @default.
• W1972623330 countsByYear W19726233302018 @default.
• W1972623330 countsByYear W19726233302020 @default.
• W1972623330 countsByYear W19726233302021 @default.
• W1972623330 countsByYear W19726233302022 @default.
• W1972623330 crossrefType "journal-article" @default.
• W1972623330 hasAuthorship W1972623330A5004779356 @default.
• W1972623330 hasAuthorship W1972623330A5026471003 @default.
• W1972623330 hasAuthorship W1972623330A5063982578 @default.
• W1972623330 hasAuthorship W1972623330A5079253870 @default.
• W1972623330 hasAuthorship W1972623330A5085939264 @default.
• W1972623330 hasAuthorship W1972623330A5087678285 @default.
• W1972623330 hasBestOaLocation W19726233301 @default.
• W1972623330 hasConcept C121332964 @default.
• W1972623330 hasConcept C127313418 @default.
• W1972623330 hasConcept C127413603 @default.
• W1972623330 hasConcept C1276947 @default.
• W1972623330 hasConcept C131040042 @default.
• W1972623330 hasConcept C14279187 @default.
• W1972623330 hasConcept C146978453 @default.
• W1972623330 hasConcept C153294291 @default.

• next