Matches in SemOpenAlex for { <https://semopenalex.org/work/W2500894737> ?p ?o ?g. }
- W2500894737 endingPage "3042" @default.
- W2500894737 startingPage "3021" @default.
- W2500894737 abstract "Abstract. High-resolution MODIS thermal infrared satellite data are used to infer spatial and temporal characteristics of 17 prominent coastal polynya regions over the entire Arctic basin. Thin-ice thickness (TIT) distributions (≤ 20 cm) are calculated from MODIS ice-surface temperatures, combined with ECMWF ERA-Interim atmospheric reanalysis data in an energy balance model for 13 winter seasons (2002/2003 to 2014/2015; November to March). From all available MODIS swath data, daily thin-ice thickness composites are computed in order to derive quantities such as polynya area and total thermodynamic (i.e., potential) ice production. A gap-filling approach is applied to account for cloud and data gaps in the MODIS composites. All polynya regions combined cover an average thin-ice area of 226.6 ± 36.1 × 103 km2 in winter. This allows for an average total winter-accumulated ice production of about 1811 ± 293 km3, whereby the Kara Sea region, the North Water polynya (both 15 %), polynyas on the western side of Novaya Zemlya (20 %), as well as scattered smaller polynyas in the Canadian Arctic Archipelago (all combined 12 %) are the main contributors. Other well-known sites of polynya formation (Laptev Sea, Chukchi Sea) show smaller contributions and range between 2 and 5 %. We notice distinct differences to earlier studies on pan-Arctic polynya characteristics, originating in some part from the use of high-resolution MODIS data, as the capability to resolve small-scale (> 2 km) polynyas and also large leads are increased. Despite the short record of 13 winter seasons, positive trends in ice production are detected for several regions of the eastern Arctic (most significantly in the Laptev Sea region with an increase of 6.8 km3 yr−1) and the North Water polynya, while other polynyas in the western Arctic show a more pronounced variability with varying trends. We emphasize the role of the Laptev Sea polynyas as being a major influence on Transpolar Drift characteristics through a distinct relation between increasing ice production and ice area export. Overall, our study presents a spatially highly accurate characterization of circumpolar polynya dynamics and ice production, which should be valuable for future modeling efforts of atmosphere–ice–ocean interactions in the Arctic." @default.
- W2500894737 created "2016-08-23" @default.
- W2500894737 creator A5026374384 @default.
- W2500894737 creator A5028322779 @default.
- W2500894737 creator A5053887696 @default.
- W2500894737 creator A5082678044 @default.
- W2500894737 date "2016-12-15" @default.
- W2500894737 modified "2023-10-18" @default.
- W2500894737 title "Circumpolar polynya regions and ice production in the Arctic: results from MODIS thermal infrared imagery from 2002/2003 to 2014/2015 with a regional focus on the Laptev Sea" @default.
- W2500894737 cites W1481849422 @default.
- W2500894737 cites W1498730562 @default.
- W2500894737 cites W1501720513 @default.
- W2500894737 cites W1507506485 @default.
- W2500894737 cites W1519949070 @default.
- W2500894737 cites W1534861257 @default.
- W2500894737 cites W1561127132 @default.
- W2500894737 cites W1574899827 @default.
- W2500894737 cites W1584554488 @default.
- W2500894737 cites W1829489966 @default.
- W2500894737 cites W1875592267 @default.
- W2500894737 cites W1918626762 @default.
- W2500894737 cites W1924722582 @default.
- W2500894737 cites W1952341416 @default.
- W2500894737 cites W1970003482 @default.
- W2500894737 cites W1970181898 @default.
- W2500894737 cites W1970590897 @default.
- W2500894737 cites W1978916549 @default.
- W2500894737 cites W1988409950 @default.
- W2500894737 cites W1998177908 @default.
- W2500894737 cites W2004372048 @default.
- W2500894737 cites W2005188028 @default.
- W2500894737 cites W2007914817 @default.
- W2500894737 cites W2013531845 @default.
- W2500894737 cites W2019314030 @default.
- W2500894737 cites W2019940536 @default.
- W2500894737 cites W2022353635 @default.
- W2500894737 cites W2037975852 @default.
- W2500894737 cites W2038766187 @default.
- W2500894737 cites W2041736844 @default.
- W2500894737 cites W2052379190 @default.
- W2500894737 cites W2053243558 @default.
- W2500894737 cites W2054058724 @default.
- W2500894737 cites W2057995151 @default.
- W2500894737 cites W2062148487 @default.
- W2500894737 cites W2062682792 @default.
- W2500894737 cites W2062827168 @default.
- W2500894737 cites W2064242148 @default.
- W2500894737 cites W2067022051 @default.
- W2500894737 cites W2070636677 @default.
- W2500894737 cites W2075419856 @default.
- W2500894737 cites W2075596880 @default.
- W2500894737 cites W2080068695 @default.
- W2500894737 cites W2080174168 @default.
- W2500894737 cites W2094314174 @default.
- W2500894737 cites W2099674121 @default.
- W2500894737 cites W2101482669 @default.
- W2500894737 cites W2114218086 @default.
- W2500894737 cites W2121745948 @default.
- W2500894737 cites W2123803542 @default.
- W2500894737 cites W2127349372 @default.
- W2500894737 cites W2127586791 @default.
- W2500894737 cites W2132301124 @default.
- W2500894737 cites W2141442289 @default.
- W2500894737 cites W2143262788 @default.
- W2500894737 cites W2149931355 @default.
- W2500894737 cites W2159841501 @default.
- W2500894737 cites W2168373356 @default.
- W2500894737 cites W2172008816 @default.
- W2500894737 cites W2172504495 @default.
- W2500894737 cites W2173734734 @default.
- W2500894737 cites W2204924003 @default.
- W2500894737 cites W2223026446 @default.
- W2500894737 cites W2285186663 @default.
- W2500894737 cites W2311937715 @default.
- W2500894737 cites W2395352641 @default.
- W2500894737 doi "https://doi.org/10.5194/tc-10-3021-2016" @default.
- W2500894737 hasPublicationYear "2016" @default.
- W2500894737 type Work @default.
- W2500894737 sameAs 2500894737 @default.
- W2500894737 citedByCount "31" @default.
- W2500894737 countsByYear W25008947372017 @default.
- W2500894737 countsByYear W25008947372018 @default.
- W2500894737 countsByYear W25008947372019 @default.
- W2500894737 countsByYear W25008947372020 @default.
- W2500894737 countsByYear W25008947372021 @default.
- W2500894737 countsByYear W25008947372022 @default.
- W2500894737 countsByYear W25008947372023 @default.
- W2500894737 crossrefType "journal-article" @default.
- W2500894737 hasAuthorship W2500894737A5026374384 @default.
- W2500894737 hasAuthorship W2500894737A5028322779 @default.
- W2500894737 hasAuthorship W2500894737A5053887696 @default.
- W2500894737 hasAuthorship W2500894737A5082678044 @default.
- W2500894737 hasBestOaLocation W25008947371 @default.
- W2500894737 hasConcept C111368507 @default.
- W2500894737 hasConcept C127313418 @default.
- W2500894737 hasConcept C136894858 @default.
- W2500894737 hasConcept C161798024 @default.
- W2500894737 hasConcept C38935664 @default.