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Wyświetlanie 1-6 z 6
Tytuł:
O "arktycznych" i "atlantyckich" mechanizmach sterujących zmiennością temperatury powietrza na obszarze Europy i północo-zachodniej Azji
On "Arctic" and "Atlantic" mechanisms controlling the changeability in air temperature in the region of Europe and NW Asia
Autorzy:
Marsz, A. A.
Styszyńska, A.
Powiązania:
https://bibliotekanauki.pl/articles/260919.pdf
Data publikacji:
2006
Wydawca:
Stowarzyszenie Klimatologów Polskich
Tematy:
zmiany temperatury powietrza
zmiany temperatury wody powierzchniowej
NAO
Oscylacja Eurazjatycka
AO
Arktyka Atlantycka
NW Azja
Europa
Atlantyk Północny
NW Asia
Europe
changes in pressure
changes in air temperature
Opis:
Praca omawia wpływ zmian ciśnienia atmosferycznego w Arktyce Atlantyckiej (dalej AA) na kształtowanie zmienności temperatury powietrza na obszarze Europy (na N od 40°N) i NW Azji (do 120°E). Wpływ zmian ciśnienia w AA na temperaturę powietrza zaznacza się we wszystkich, z wyjątkiem czerwca, miesiącach roku, tworząc charakterystyczny cykl z maksimum siły oddziaływania zimą. Zimowe (01-03) zmiany ciśnienia w AA objaśniają od kilkunastu do ponad 60% zmienności temperatury rocznej (z maksimum na obszarze wokół-bałtyckim; 1951-2000). W pracy analizuje się współdziałanie zmian ciśnienia w Arktyce Atlantyckiej ze zmianami ciśnienia w Wyżu Syberyjskim w kształtowaniu zmienności temperatury powietrza na obszarze Europy i NW Azji. Dyskutuje się również kwestie związków zmian ciśnienia w AA z NAO, AO oraz frekwencją makrotypów cyrkulacji środkowotroposferycznej wg klasyfikacji Wangengejma-Girsa. Wyniki analiz wykazują, że o zimowych zmianach ciśnienia w AA decyduje wcześniejszy rozkład zasobów ciepła w wodach Atlantyku Północnego.
The research on relations between climatic elements of Europe and the Arctic has indicated that there are significant correlations between changes in atmospheric pressure in the Atlantic part of the Arctic and air temperature in northern Europe and NW Asia. The strongest correlations are observed between changes in pressure over relatively small area of the Atlantic part of the Arctic (72.5 - 80.0°N, 10.0 - 25.0°E), in addition, the point over which changes in pressure explain most of changes in air temperature is located 75.0°N, 015.0°E. Pressure at this point is further referred as P[75,15] with an index denoting a month (e.g. P[75,15]03 denotes mean pressure in March and P[75,15]01-03 defines mean pressure at this point from the period January till March). Over the Atlantic part of the Arctic within the pressure area there is no marked climatic centre which could be regarded as the centre of atmospheric activity. The research made use of monthly series of SLP values (reanalysis: set NOAA.NCEP-NCAR. CDAS-1.MONTHLY.Intrinsic.MSL.pressure) and the values of monthly air temperature from 211 stations (Fig. 1). The observational period common for both elements covers 50 years, i.e. the period from January 1951 to December 2000. The character of correlations between P[75,15] and air temperature in the following months, from June to May, and their spatial distribution have been presented by isocorrelates maps (Fig. 2). Changes in the strength of correlations between P[75,15] and the temperature over Europe and NW Asia form a clear annual cycle interrupted in June. In June the correlations between P[75,15] and air temperature became very weak and not significant over the most of the area and not continuous in space. During the months after June these correlations got stronger and stronger reaching their maximum during cold season (from November to April). This maximum is located in the region adjacent to the Baltic Sea, where annual and winter (01-03) changes in P[75,15] explain from more than 60% to 50% of annual temperature variances (Fig. 3) The strongest correlation between P[75,15] and air temperature in Siberia is located N of Baikal, where winter (01-03) changes in P[75,15] explain 43-45% of annual temperature variances. At the end of the cold season a visible delay of the decrease in the strength of correlation is observed in the region of Siberia in relation to the European region (in Europe after March, in Siberia after April). Variability in winter and annual values of pressure at 75°N, 015°E also indicates relatively strong correlations with the changeability in temperature of the warmest month in the year in the west and central region of Europe. The annual variability in P[75,15] explains from 40% to 30% changeability of maximum temperature in the region extending from the Atlantic coast of France to central Germany. This belt extends farther east towards the Baltic Sea. The latter correlation has not been explained in this work. The analysis of correlations of changes in pressure at 75°N, 15°E with NAO indicates to the occurrence of statistically significant correlations during months of cold season in the year (October - March, May and June; Tab. 2). Similar analysis of correlations of changes in P[75,15] with AO index (Arctic Oscillation) shows strong and highly statistically significant correlations in all months of the year with maximum falling in January and February. Annual changes in P[75,15], i.e. in pressure at one point explain 73% annual changeability in AO index (r = 0.86) and the winter changeability in (December - March) P[75,15] explains 78% of winter changeability in AO index (r = 0.88) which is the first vector EOF of pressure field (1000 hPa) covering the area from 20°N to the North Pole (90°N), that is the most area of the Northern Hemisphere. This analysis shows that the changes in pressure at the point 75°N, 15°E result in intensification of cyclogenesis over west and central part of the North Atlantic and the consequent long waves (waves of W type following Wangengejm-Girs classification) cause that anticyclones formed over the Atlantic will direct towards Fram Strait through the region of Iceland. The above process has nothing or almost nothing to do with the form of changeability in polar strato-spheric eddy, as assumed by Tomphson and Wallace (1998, 2000, Thompson, Wallace, Hegerl 2000) to be essential for the Arctic Oscillation functioning. Occurrence of correlations between P[75,15] and air temperature over vast areas from 10°W to 130°E suggests that also changes in pressure in the Siberian High are engaged in this process. Theanalysis shows that in a yearly process, changes in pressure in the Atlantic part of the Arctic and in the Siberian High occur in opposite phases (see Tab.1). Barometric gradient between the Atlantic part of the Arctic and the Siberian High becomes extremely strong during the cold season of the year contributing to "pumping" air from eastern Europe to the far end of the Siberia. During the summer season the gradient becomes very weak as the about-turn takes place. The cooperation of changes in pressure in the Atlantic part of the Arctic and pressure in region located farther Baikal -- Mongolia results in very strong oscillation which partly can be identified with Euro-Asian Oscillation (Monahan et al. 2000). During winter season interannual changes in pressure in the Siberian High are relatively small and explain 10.4% variances of barometric gradient between P[75,15] and point 45°N, 110°E (the region of the centre of the Siberian High), whereas the interannual changes in P[75,15] explain 77.5% of variances in this gradient. This means that in the cold season of the year the intensity of air transfer from the west towards Asian land depends on variability in pressure in the Atlantic part of the Arctic. Because in the months of the cold season of the year NAO is the strongest and significantly correlated with changes in P[75,15] therefore, a two-element, with the same phase "conveyor belt" is formed, which during positive phases of NAO transfers the air from over the Atlantic to Europe (NAO) and then towards and into the Siberia (Euro-Asian Oscillation). P[75,15] during cold season months of the year (01-03) indicates statistically significant negative trend (-0.153 hPa/year; p < 0.006) which enables to state that the observed, over the years 1951-2000, increase in air temperature in the Siberia can be, in great extent, attributed to the activity of the above described circulation mechanism. The analysis of reasons for interannual changes in P[75,15] has indicated that there are strong and significant correlations between variability in P[75,15] and the earlier variability in the thermal conditions of the Atlantic Ocean. A very important role in this relation plays thermal condition of three sea areas, i.e. waters of the subtropical region of central part of the North Atlantic (characterized by SST anomalies in grid 34°N, 40°W from August and September), waters of the middle latitudes zone of the central part of the North Atlantic (characterized by SST anomalies from August and September in grid 54°N, 30°W) and waters of the North Atlantic Current from the approach to the Farero-Shetland Passage (characterized by SST anomalies from January and April in grid 60°N, 10°W). Thermal state of these three sea water areas (see formulas [1] and [2]) explains 58% changeability in P[75,15] which will be observed in the following winter (DJFM). The cause of the described correlation is attributed to the fact that the earlier thermal state of the above mentioned sea areas controls the occurrence of long waves, of W and E Wangengejm-Girs type during the following winter. Further, these waves influence the occurrence of low cyclones over the Atlantic part of the Arctic during winter resulting in adequate changes in mean monthly pressure. As a result, it can be stated that the interannual variability in air temperature over vast areas of Europe and over NW Asia is influenced by the processes observed over the North Atlantic and the Atlantic part of the Arctic. The research covers years 1971-2003 (ano-malies in SST taken from 1970-2002) due to the fact that the data have been not only accessible and reliable but also homogeneous with respect to climatological data of SST (CACSST data set (Reynolds and Roberts 1987, Reynolds 1988) and SST OI v.1. (Reynolds et al. 2002).
Źródło:
Problemy Klimatologii Polarnej; 2006, 16; 47-89
1234-0715
Pojawia się w:
Problemy Klimatologii Polarnej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przebieg wartości wskaźnika oceanizmu w rejonie Cieśniny Beringa w drugiej połowie XX i początku XXI wieku
The course of the value of oceanicity index in the region of the Bering Strait in the second half of the twentieth and early twenty-first century
Autorzy:
Zblewski, S.
Marsz, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/260794.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Klimatologów Polskich
Tematy:
zmiany klimatu
oceanizm
kontynentalizm
Alaska
Czukotka
PDO
lody morskie
climate changes
oceanicity
contynentality
Chukchi
sea ice
Opis:
Praca omawia zmienność wskaźnika oceanizmu (Oc) na obszarze Beryngii, stanowiącej obszary lądowe i akweny rozciągające się wokół Cieśniny Beringa, w latach 1951-2010. Wskaźnik Oc stanowi miarę stopnia oceaniczności i kontynentalizmu klimatu. Analizy wykazały relatywnie niewielkie zróżnicowanie przestrzenne rozkładu Oc. Obszary występowania klimatu suboceanicznego lokują się na SE części M. Beringa i NE części Zatoki Alaska, pozostałe obszary i akweny objęte są domeną klimatu kontynentalnego. Zmienność w czasie stopnia oceanizmu jest minimalna. Najsilniejsze i istotne statystycznie trendy występują na obszarze SW Alaski. Analiza skorelowania zmian wskaźnika Oc w funkcji czasu dzieli cały obszar na dwa autonomiczne rejony. Pierwszy lokuje się na obszarze S wybrzeży Alaski i w jej interiorze (bez wybrzeży Morza Beauforta) – występują w nim wyłącznie dodatnie trendy wskaźnika Oc, w przewadze silne i statystycznie istotne, a przebiegi zmienności Oc są ze sobą silnie skorelowane. Drugi rejon obejmuje pozostałe obszary i akweny. Stacje tej grupy charakteryzują się słabymi, nieistotnymi trendami o znakach zarówno dodatnich jak i ujemnych, a zachodzące w czasie zmiany Oc wykazują słabsze korelacje między stacjami. Korelacje przebiegów wskaźników Oc między stacjami obu rejonów są słabe i w przewadze nieistotne. Zróżnicowanie przestrzennego rozkładu zmienności wskaźnika Oc jest związane z zasięgiem atmosferycznego oddziaływania PDO (Pacific Decadal Oscillation). Zmienność PDO, poprzez zmiany głębokości i lokalizacji Niżu Aleuckiego regulującego intensywność adwekcji cieplejszego powietrza morskiego nad Alaskę, wymuszała po roku 1976 wzrost oceanizacji klimatu nad południowymi wybrzeżami i interiorem Alaski. Nad pozostałym obszarem przeważały w tym czasie adwekcje mas powietrza z północy. W rejonie Cieśniny i Morza Beringa oraz Morza Czukockiego zaznacza się wpływ zmian zasięgu lodów morskich na przebieg procesów zmian kontynentalizmu i oceanizmu klimatu.
The work discusses the variability of oceanicity index (Oc) in the area of Beryngia, which covers land area and sea areas extending around the Bering Strait (Fig. 1) in the years 1951-2010. Oceanicity index is the measure of the degree of climatic oceanicity and continentality. The carried out analysis showed relatively little variation in spatial distribution of oceanicity in the analyzed area. Areas with sub-oceanic climate are located at the SE part of the Bering Sea and the NE part of the Gulf of Alaska (St Paul Isl., Kodiak, Homer stations), other land and sea areas are under the influence of continental climate with centers over Chukotka (Markovo, Enmuveen) and in the interior of Alaska (Fairbanks, Mc Grath, Big Delta).Variability in time of degree of oceanicity in the analyzed area is minimum – trends of Oc index are very weak and predominantly insignificant. The strongest and statistically significant trends are present over the area of SW Alaska (+0.006 Oc•year-1 in King Salmon, +0,005 in Homer, +0.004 inTalkeetna, +0.003 Oc•year-1 in Big Delta and Bethel).The analysis of correlation of changes in Oc index as a function of time divides the whole area into two autonomous regions – the first (B) is located in the area of the southern coast of Alaska and in the interior of Alaska (without the coast of the Beaufort Sea) and the other one (A) covers the remaining areas and waters. Only positive trends of Oc index predominantly strong and statistically significant are observed at the stations from group B and the courses of Oc variability are strongly and very closely correlated with one another. Stations of group A are characterized by weak, insignificant trends with both positive and negative signs and the changes in the time of Oc index show weaker correlations between stations. Correlations of courses of Oc index between the stations of group A and group B are weak and predominantly insignificant – changes in the two groups do not take place synchronously. This differentiation of spatial distribution of the Oc index variability is associated with range of the atmospheric influence of the PDO (Pacific Decadal Oscillation). Changes in the depth and location of the Aleutian Low regulating the intensity of advection of warmer maritime air over Alaska had influence on the variability of the PDO which after 1976 enforced an increase in oceanicity of climate over the southern coasts and the observed. At that time advection of air masses from the north prevailed, with varying intensity, in areas with stations assigned to group A. A visible influence of changes in sea ice extent on the process of changes in climatic continentality and oceanicity is observed particularly in the Strait and the Bering Sea and the Chukchi Sea.
Źródło:
Problemy Klimatologii Polarnej; 2013, 23; 57-76
1234-0715
Pojawia się w:
Problemy Klimatologii Polarnej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zmiany powierzchni lodów morskich na morzach eurazjatyckiej Arktyki i ich potencjalny wpływ na nawigację na Północnej Drodze Morskiej w drugiej dekadzie XXI wieku
Changes of sea ice extent on the Euro-Asiatic Arctic seas linked to potential of navigation on the Northern Sea Route in the second decade of XXI century
Autorzy:
Marsz, A. A.
Pastusiak, T.
Styszyńska, A.
Powiązania:
https://bibliotekanauki.pl/articles/260682.pdf
Data publikacji:
2014
Wydawca:
Stowarzyszenie Klimatologów Polskich
Tematy:
lód morski
zmiany pokrywy lodowej
Północna Droga Morska
Arktyka Rosyjska
sea ice
changes of sea ice extent
Northern Sea Route
Russian Arctic
Opis:
W pracy przedstawiono wyniki szczegółowej analizy zachodzącej współcześnie (1979-2013) ewolucji pokrywy lodowej na morzach Arktyki Rosyjskiej, przez które prowadzą trasy Północnej Drogi Morskiej (PDM) oraz analizę długości sezonu żeglugowego (okresu, w którym koncentracja lodów nie przekracza 15%). Stwierdzono występujące w ostatnich latach (2002-2013) wyraźne polepszenie się potencjalnych warunków żeglugi, choć na morzach Łaptiewów i Wschodniosyberyjskim warunki te pozostają nadal bardzo trudne i labilne, nawet w okresie najmniejszego rozwoju pokrywy lodowej (druga połowa sierpnia – pierwsza połowa października). Przeprowadzona analiza długości okresu „bezlodowego”, w którym warunki lodowe dopuszczają względnie swobodną żeglugę statków nieposiadających najwyższych klas lodowych wykazuje, że w obecnych, wyjątkowo łagodnych warunkach lodowych, trasy na morzach Łaptiewów i Wschodniosyberyjskim nie gwarantują corocznej swobodnej żeglugi bez pomocy lodołamaczy nawet w sezonie nawigacyjnym, stanowiąc „wąskie gardła” całego szlaku PDM. Dla okresu od lipca do listopada podano orientacyjne ryzyko żeglugi na poszczególnych morzach dla statku samodzielnie pokonującego trasę PDM.
The paper presents the results of the detailed analysis of the evolution of the ice cover occurring currently (1979-2013) on the Russian Arctic seas (Fig. 2-19), through which leading the Northern Sea Route (NSR) as well as the results of the detailed analysis of the length of the navigation season (the period in which the ice concentration does not exceed 15%). In recent years (2002-2013) was noted a clear improvement of potential navigation conditions, although these conditions on the Laptev Sea and the East Siberian Sea are still very difficult and labile, even during periods of the smallest development of the ice cover (second half of August – the first half of October). The analysis of the length of the "ice-free" period, during which an ice conditions allow for relatively free navigation of vessels without a high ice class shown that in the current, very mild ice conditions, routes leading through the Laptev Sea and East Siberian Sea do not guarantee ”ice-free” navigation without assistance of icebreakers in the navigation season each year, being the "bottlenecks" of the entire route NSR. An approximate risk to navigation of the ship overcoming the NSR alone in the period from July to November has been determined for each sea (Table 1).
Źródło:
Problemy Klimatologii Polarnej; 2014, 24; 73-99
1234-0715
Pojawia się w:
Problemy Klimatologii Polarnej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Trendy temperatury powierzchni oceanu w sektorze pacyficznym Oceanu Południowego w ostatnim 25-leciu
Trends in the sea surface temperature in the Pacific sector of the Southern Ocean in the las 25 year period (1980-2004
Autorzy:
Marsz, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/260641.pdf
Data publikacji:
2005
Wydawca:
Stowarzyszenie Klimatologów Polskich
Tematy:
temperatury powierzchni oceanu
ochłodzenie powierzchni oceanu
Ocean Południowy
sektor pacyficzny
Antarktyka
sea surface temperature
sea surface cooling
climatic changes
Southern Ocean
Pacific sector
Antarctic
Opis:
Praca omawia zmiany temperatury powierzchni wody (TPO) sektora pacyficznego Oceanu Południowego w pasach szerokości 60 i 50°S, zachodzące w przekrojach miesięcznych i rocznych. Stwierdzono występowanie ujemnych trendów TPO w całym pasie 60°S, z czego ponad 1/3 współczynników trendu jest istotna i wysoce istotna statystycznie. Obszary silnego ochłodzenia powierzchni oceanu tworzą tam dwa ośrodki: pierwszy w rejonie 170°E - 140°W, drugi - 120-080°W. W obu ośrodkach najsilniejsze spadki TPO następują w miesiącach chłodnej pory roku (maj - sierpień), w drugim - dodatkowo - stosunkowo silne ochłodzenie zaznacza się w miesiącach ciepłej pory roku (styczeń - marzec). Na szerokości 50°S ochłodzenie jest znacznie słabsze - istotne statystycznie zmiany TPO zaznaczają się wyłącznie po wschodniej stronie sektora (100-080°W), gdzie również występują trendy ujemne. Kumulacja istotnych i nieistotnych statystycznie trendów miesięcznych prowadzi do zaznaczania się na obszarze około 54% powierzchni sektora pacyficznego Oceanu Południowego istotnych statystycznie, ujemnych trendów rocznej TPO. Na pozostałym obszarze badanego sektora bądź brak realnych zmian TPO, bądź występuje tendencja do słabego spadku temperatury. Przebiegi temperatury rocznej wskazują, że w ośrodku zachodnim (60°S, 170°E -140°W) TPO konsekwentnie obniża się od początku obserwacji (1980 rok), gdy we wschodniej części sektora pacy-ficznego (120-080°W) cały obserwowany w 25-leciu trend stanowi konsekwencję silnego spadku rocznej TPO w ciągu ostatnich 7 lat (1997-2004).
This work deals with monthly and annual changes in sea surface temperature (SST) of the Pacific sector of the South Ocean observed in 60°- 50°S latitudinal bands. The occurrence of negative trends of SST was noted in the entire 60° band and 1/3 of the trend coefficients is statistically significant and highly significant. The regions marked by strong cooling of ocean surface are formed by two centres - one 170° - 140°W and the other extending from 120° to 080°W. The greatest decrease in sea surface temperature in both centres takes place during cold season (May - August), in the other centre there is also additional quite strong cooling in the months of warm season (January - March). In the latitude 50°S the cooling is much weaker - statistically significant changes in SST are observed only in the eastern part of the Pacific region (100°- 080°W) where negative trends are also noted. Cumulating of statistically significant and non-significant monthly trends leads to statistically significant negative trends in annual SST observed in 54% of the area in the Pacific sector of the South Ocean. In the remaining area of the Pacific sector of the South Ocean there are either no visible changes in the sea surface temperature or there is tendency of weak decrease in temperature. The courses of annual SST indicate that in the western region (60S°, 170° -140°W) the SST has been decreasing constantly since the beginning of the observational period (since the year 1980), whereas in the eastern part of the Pacific sector (120°- 080°W) the whole trend observed over the 25-year period results from strong decrease in annual SST in the period of last 7 years (1997-2004).
Źródło:
Problemy Klimatologii Polarnej; 2005, 15; 17-26
1234-0715
Pojawia się w:
Problemy Klimatologii Polarnej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model zmian powierzchni lodów morskich Arktyki (1979-2013) – zmienne sterujące w modelu „minimalistycznym” i ich wymowa klimatyczna
Model of changes in the Arctic sea-ice extent (1979-2013) – variables steering the 'minimalist' model and their climatic significance
Autorzy:
Marsz, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/260796.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Klimatologów Polskich
Tematy:
Arktyka
lody morskie
zmiany powierzchni lodów
czynniki sterujące
model
cyrkulacja termohalinowa
cyrkulacja atmosferyczna
Arctic
sea ice
ice extent changes
steering variables
thermohaline circulation
atmospheric circulation
Opis:
Praca omawia model zmian powierzchni zlodzonej Arktyki typu „białej skrzynki”, opierający się na dwu zmiennych niezależnych – wskaźniku oznaczonym jako DG3L, który charakteryzuje intensywność cyrkulacji termohalinowej (THC) na Atlantyku Północnym i wskaźniku D, który charakteryzuje cyrkulację atmosferyczną nad Arktyką. Objaśnienie konstrukcji obu wskaźników i wartości ich szeregów czasowych przedstawione jest w załącznikach Z1 i Z2. Okres opracowania obejmuje lata 1979-2013 i jest limitowany dostępnością danych o zmianach powierzchni lodów morskich w Arktyce. Model liniowy opierający się na tych zmiennych objaśnia ~72% wariancji rocznej powierzchni zlodzonej w Arktyce i powyżej 65% wariancji powierzchni zlodzonej w marcu (maksimum rozwoju powierzchni lodów) i wrześniu (minimum). Główną rolę w kształtowaniu tej zmienności odgrywa zmienność cyrkulacji termohalinowej, rola cyrkulacji atmosferycznej jest niewielka i wykazuje silną zmienność sezonową. Analiza tego modelu wykazała, że rzeczywiste zależności są nieliniowe, a zmiany pokrywy lodowej zachodzą w dwu odrębnych reżimach – „ciepłym” i „chłodnym”. Reżim „ciepły” funkcjonuje w sytuacji, gdy THC jest bardziej intensywna niż przeciętnie (wskaźnik DG3L > 0). Dochodzi wtedy do szybkiego spadku powierzchni lodów w okresie ciepłym – zwłaszcza we wrześniu i powolnego spadku rozmiarów pokrywy lodowej w marcu, cyrkulacja atmosferyczna w tym reżimie odgrywa istotną rolę w kształtowaniu zmian powierzchni lodów. Spadek natężenia THC poniżej przeciętnej (DG3L ≤ 0), z opóźnieniem około 6.letnim prowadzi, do przejścia do reżimu „chodnego”. W reżimie chłodnym następuje szybki przyrost powierzchni lodów w okresie ciepłym i bardzo powolny wzrost powierzchni lodów w marcu, rola cyrkulacji atmosferycznej w kształtowaniu zmienności pokrywy lodowej staje się nikła. Po dalszych kilku latach utrzymywania się reżimu „chłodnego” międzyroczne zmiany powierzchni zlodzonej stają się małe. Analizy związków między zmiennymi z przesunięciami czasowymi wykazały, że cyrkulacja atmosferyczna nad Arktyką stanowi funkcję THC. W rezultacie, za główną przyczynę zmian powierzchni zlodzonej Arktyki należy uznać rozciągnięte w czasie działanie zmian intensywności THC, które w rozpatrywanym okresie objaśnia ~90% wariancji rocznej powierzchni zlodzonej.
The paper presents the assumptions and structure of statistical model reproducing the changes in sea ice extent in the Arctic, using the minimum number of steering variables. The data set of NASA's Goddard Space Flight Center (GSFC) nsidc0192_seaice_trends_climo/total-area-ice-extent/nasateam/ (Total Ice-Covered Area and Extent) was used as starting data in the calibration of this model. Its subsets characterizing the sea ice extent of the Arctic Ocean (ArctOcn), Greenland Sea (Grnland), Barents and Kara seas (BarKara) were used. Their sums create a new variable known as the ‘Proper Arctic’. This model also used the following subsets: Archipelago Canadian (CanArch), Bay and Strait Hudson (Hudson), and Baffin Bay and Labrador Sea (Baffin), the sum of which creates another variable the ‘American Arctic’. The sum of all the above mentioned subsets creates a variable defined as the ‘entire Arctic’. The study covered the period 1979-2013, for which the said data set is made up of uniform and reliable data based on satellite observations. The model was developed for moments of maximum (March) and minimum (September) development of sea ice extent as well as for the annual average sea ice extent. After presenting the assumptions of the model (model type ‘White box’), formal analysis of the type and characteristics of the model, the choice of steering variables (independent; Chapters 3 and 4) was made. The index characterizing the intensity of thermohaline circulation (THC) in the North Atlantic, referred to as DG3L and an index characterizing atmospheric circulation having significant influence on changes in sea ice extent, marked as D, were used as independent variables in this model. Physical fundamentals and rules for calculating the DG3L index are discussed in detail in Annex 1, and the D index in Annex 2. These Annexes also include time series of both indexes (DG3L – 1880-2015; D – 1949-2015). Research into delays between the impact of variables and changes in sea ice extent indicated that sea ice extent showed maximum strength of the correlation with the DG3L variable with a three-year delay and with D variable with zero delay. The final form of the model is a simple equation of multiple regression (equation [1]). The following equations are used for estimating the regression parameters for individual sea areas in those time series: the Proper Arctic – equation [1a, 1b, 1c]; the American Arctic – equations [2a, 2b, 2c] and for the entire Arctic - equation [3a, 3b, 3c]. Statistical characteristics of each model are presented in Tables 3, 4 and 5, and Figures 2, 3 and 4 respectively and show the scattering of values estimated by means of each model in relation to the observed values. All models show high statistical significance. The best results, both in terms of explanation of the variance of the observed sea ice extent, as well as the size of the standard errors of estimation of sea ice extent are obtained for changes in the sea ice extent of the entire Arctic. The reasons for this may be traced back to the fact that errors in the estimation of partial models ([1a, 1b, 1c] and [2a, 2b, 2c]) have different signs, which in a synthetic model partially cancel out each other. Moreover, if the variable DG3L three years before shows strong and evenly distributed in time action, the D variable characterizing atmospheric circulation shows clearly seasonal activity – it is marked only during the minimum development of sea ice extent (September), when the degree of ice concentration is reduced, allowing its relatively free drift. The model for the annual average of sea ice extent of the entire Arctic (in the accepted limits) explains 71.5% of the variance, in September 68%, and in March 65% of the variance (Table 5). The lowest values are obtained for the American Arctic, where the D variable, characterizing atmospheric circulation does not appear to have significant influence, so the model is a linear equation with one variable (DG3L). Nevertheless, also in this case, the variance of the annual sea ice extent in the American Arctic is explained exceeding 50%. Variability of THC (described by the DG3L index) explains ~67% of the variance of annual sea ice extent and variability of atmospheric circulation (described by the D index) explains ~6% of the variance of annual sea ice extent of the entire Arctic. It allows claiming that THC and atmospheric circulation are the essential factors that influence the variability of sea ice extent of the Arctic. Both of these factors are natural factors. Further analysis of the results presented by various models and especially those affected by the DG3L variable (Fig. 5) delayed by three years suggests that the linear model is not the most appropriate model reflecting the changes in the sea ice extent of the entire Arctic and its parts. The action of DG3L variable, accumulated over several years, is saved and this causes that a strong significant correlation with the sea ice extent is prolonged. The analysis carried out by means of the segmented regression showed that the variability of sea ice extent was different where THC is lower than the average (DG3L ≤ 0), or different where THC is stronger than average (DG3L> 0; see equation [4a, 4b]). When the index is zero or less than zero, the impact of THC on the increase in sea ice extent is limited and the influence of changes in atmospheric circulation on sea ice extent is very small. Conversely, when the THC becomes intense and imports increased amounts of heat to the Arctic, the influence of DG3L index on the decrease in sea ice extent rises, like growing impact of atmospheric circulation on variation of sea ice extent (see equations [5a, 5b]. The segmented regression equations with these two variables explain 88.76% of the observed annual variation of sea ice extent of the entire Arctic (equations [5a, 5b]).This means that the sea ice extent of the Arctic is variable in two distinct regimes – ‘warm’, when the DG3L> 0 and ‘cold’, when the DG3L ≤ 0. This is similar to the results of Proshutinsky and Johnson (1997), Polyakov et al. (1999) and Polyakov and Johnson (2000) and their LFO oscillation. Time limits of the transition intensity of the THC phases from the positive to negative and vice versa correspond to similar limits of LFO, suggesting that the two different systems have the same cause. Polyakov and Johnson (2000) and Polyakov et al. (2002, 2003, 2004, 2005) can see the main reason for the change in the LFO regime in the transition of atmospheric circulation from anticyclonic regime to cyclonic regime and vice versa. The analysis of the reason for the transition of regime of changes in sea ice extent from ‘warm’ to ‘cold’ and vice versa – THC or atmospheric circulation – has shown that the D index is a function of previous changes in DG3L index. Atmospheric circulation over the Arctic shows a greater delay in response to changes in THC than the sea ice extent – this occurs with a 6-year delay (see Table 6, Equation 6). This allows replacing the D variable in the equations describing the change in sea ice extent, directly by DG3L variable from 6 years before (see Equation [7a, 7b]).These simultaneous equations explain about 90% of the observed annual variance of the sea ice extent of the entire Arctic in the years 1979-2013. Most importantly, however, it can be stated, with a high degree of certainty, that the variability of THC of the North Atlantic steers both the changes in sea ice extent and Basic features of atmospheric circulation over the Arctic. The effects of other factors than THC, having influence on variability of sea ice extent and the basic processes of the climate in the Arctic, in the short time scales, leave not too much space/place. The transition from ‘cold’ to ‘warm’ regime in the development of the sea ice extent in the Arctic requires an increase in the intensity of THC. If the values of DG3L index are greater than 0 for a period not shorter than three years, the decrease in the sea ice extent will start, initially in the period of its minimum development (August, September). If the resultant values of the DG3L index have positive values for further three years, the atmospheric circulation will transform into a cyclonic circulation (D index goes to positive values). The role of atmospheric circulation during the ‘warm’ season in the Arctic having influence on the change (reduction) of the sea ice extent becomes significant. The ‘warm’ regime will remain as long as long after its start the situation in which the algebraic sum of DG3L values is greater than 0. If such a situation lasts long, or in case of accumulation of high values of DG3L index, the sea ice cover can disappear almost completely in the warm period. The transition from the ‘warm’ regime to the ‘cold’ regime demands fulfillment of reverse conditions – a consistent decrease in the values of DG3L index into negative values for at least another three year period. After three years this will result in rapid increase in sea ice extent during warm period, thereby increasing the annual average of sea ice extent. If in subsequent years the value of DG3L index remains lower than zero, after the next 3-4 years, the atmospheric circulation will become the anticyclonic circulation. After that there will be gradual, slow growth in sea ice extent, decrease in air temperature, increase in ice thickness and change in the age of the ice structure towards the increase in the multi-year ice. The ice cover in the Arctic will become "self-sustaining", reducing interannual variability. Major changes will occur in the ‘warm’ season, minor in other seasons. The maximum sea ice extent of the Arctic in the cold season, with current conditions in the ‘cold’ regime, can reach ~13.5-14.5 million km2, the average annual sea ice extent should be ~12 (± 0.5) million km2. This area, especially in the winter season, may be in fact higher, since the weakening of the THC must also lead to a decrease in air temperature in the hemisphere.
Źródło:
Problemy Klimatologii Polarnej; 2015, 25; s. 249-334
1234-0715
Pojawia się w:
Problemy Klimatologii Polarnej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Zmiany zlodzenia Morza Karskiego w latach 1979-2015. Podejście systemowe
Changes of sea ice extent on the Kara Sea in the years 1979-2015. System approach
Autorzy:
Styszyńska, A.
Marsz, A. A.
Powiązania:
https://bibliotekanauki.pl/articles/260907.pdf
Data publikacji:
2016
Wydawca:
Stowarzyszenie Klimatologów Polskich
Tematy:
pokrywa lodowa
zmiany powierzchni lodów
THC
temperatura powietrza
temperatura wody powierzchniowej
Morze Karskie
Arktyka
Atlantyk Północny
ice cover
changes in sea-ice extent
air temperature
sea surface temperature
Kara Sea
Arctic
North Atlantic
Opis:
Praca omawia zmiany powierzchni lodów na Morzu Karskim i mechanizmy tych zmian. Scharakteryzowano przebieg zmian zlodzenia, ustalając momenty skokowego zmniejszenia się letniej powierzchni lodów. Rozpatrzono wpływ cyrkulacji atmosferycznej, zmian temperatury powietrza i zmian zasobów ciepła w wodach na zmiany zlodzonej tego morza. Analizy wykazały, że wszystkie zmienne opisujące zarówno stan zlodzenia jak i stan elementów klimatycznych są ze sobą wzajemnie powiązane przez różnego rodzaju sprzężenia zwrotne. W rezultacie tworzy się rekurentny system, w którym zmiany powierzchni lodów, wpływając na przebieg innych elementów systemu (temperaturę powietrza, temperaturę wody powierzchniowej) w znacznej części same sterują swoim rozwojem. Zmiennością całego tego systemu sterują zmiany intensywności cyrkulacji termohalinowej (THC) na Atlantyku Północnym, dostarczając do niego zmienne ilości energii (ciepła). Reakcja systemu zlodzenia Morza Karskiego na zmiany natężenia THC następuje z 6.letnim opóźnieniem.
The work discusses the changes in the ice extent on the Kara Sea in the years 1979-2015, i.e. in the period for which there are reliable satellite data. The analysis is based on the average monthly ice extent taken from the database AANII (RF, St. Peterburg). 95% of the variance of average annual ice extent explains the variability of the average of ice extent in ‘warm' season (July-October). Examination of features of auto-regressive course of changes in ice extent shows that the extent of the melting ice area between June and July (marked in the text RZ07-06) can reliably predict the ice extent on the Kara Sea in August, September, October and November as well as the average ice extent in a given year. Thus the changes in ice extent can be treated as a result of changes occurring within the system. Analysis of the relationship of changes in ice extent and variable RZ07-06 with the features of atmospheric circulation showed that only changes in atmospheric circulation in the Fram Strait (Dipole Fram Strait; variable DCF03-08) have a statistically significant impact on changes in ice extent on the Kara Sea and variable RZ07-06. The analysis shows no significant correlation with changes in ice extent or AO (Arctic Oscillation), or NAO (North Atlantic Oscillation). Variable RZ07-06 and variable DCF03-08 are strongly correlated and their changes follow the same pattern. Analysis of the relationship of changes in ice extent and variable RZ07-06 with changes in air temperature (the SAT) showed the presence of strong relationships. These correlations differ significantly depending on the region; they are much stronger with changes in air temperature in the north than in the south of the Kara Sea. Temperature of cold period (average temperature from November to April over the Kara Sea, marked 6ST11-04) has a significant effect on the thickness of the winter ice and in this way the thickness of ice in the next melting season becomes part of the "memory" (retention) of past temperature conditions. The thickness of the winter ice has an impact on the value of the variable RZ07-06 and on changes in ice extent during the next ‘warm’ season. As a result, 6ST11-04 explains 62% of the observed variance of the annual ice extent on the Kara Sea. SAT variability in the warm period over the Kara Sea (the average of the period July-October, marked 6ST07-10) explains 73% of the variance of annual ice extent. SAT variability of the N part of the Kara Sea (Ostrov Vize, Ostrov Golomjannyj), which explains 72-73% of the variance ice extent during this period, has particularly strong impact on changes in ice extent during warm period. These stations are located in the area where the transformed Atlantic Waters import heat to the Kara Sea. Analysis of the impact of changes in sea surface temperature (SST) variability on sea ice extent indicated that changes in SST are the strongest factor that has influence on ice extent. The variability of annual SST explains 82% of the variance of annual ice extent and 58% of the variance of the variable RZ07-06. Further analysis showed that the SAT period of warm and annual SAT on the Kara Sea are functions of the annual SST (water warmer than the air) but also ice extent. On the other hand, it turns out that the SST is in part a function of ice extent. All variables describing the ice extent and its changes as well as variables describing the nature of the elements of hydro-climatic conditions affecting the changes in ice extent (atmospheric circulation, SAT, SST) are strongly and highly significantly related (Table 9) and change in the same pattern. In this way, the existence of recursion system is detected where the changes in ice extent eventually have influence on ‘each other’ with some time shift. The occurrence of recursion in the system results in very strong autocorrelation in the course of inter-annual changes in ice extent. Despite the presence of recursion, factors most influencing change in ice extent, i.e. the variability in SST (83% of variance explanations) and variability in SAT were found by means of multiple regression analysis and analysis of variance. Their combined impact explains 89% of the variance of the annual ice extent on the Kara Sea and 85% of the variance of ice extent in the warm period. The same rhythm of changes suggests that the system is controlled by an external factor coming from outside the system. The analyses have shown that this factor is the variability in the intensity of the thermohaline circulation (referred to as THC) on the North Atlantic, characterized by a variable marked by DG3L acronym. Correlation between the THC signal and the ice extent and hydro-climatic variables are stretched over long periods of time (Table 10). The system responds to changes in the intensity of THC with a six-year delay, the source comes from the tropical North Atlantic. Variable amounts of heat (energy) supplied to the Arctic by ocean circulation change heat resources in the waters and in SST. This factor changes the ice extent and sizes of heat flux from the ocean to the atmosphere and the nature of the atmospheric circulation, as well as the value of the RZ07-06 variable, which determines the rate of ice melting during the ‘warm’ season. A six-year delay in response of the Kara Sea ice extent to the THC signal, compared to the known values of DG3L index to the year 2016, allows the approximate estimates of changes in ice extent of this sea by the year 2023. In the years 2017 to 2020 a further rapid decrease in ice extent will be observed during the ‘warm' period (July-October), in this period in the years 2020-2023 ice free conditions on the Kara Sea will prevail. Ice free navigation will continue from the last decade of June to the last decade of October in the years 2020-2023. Since the THC variability includes the longterm, 70-year component of periodicity, it allows to assume that by the year 2030 the conditions of navigation in the Kara Sea will be good, although winter ice cover will reappear.
Źródło:
Problemy Klimatologii Polarnej; 2016, 26; 109-156
1234-0715
Pojawia się w:
Problemy Klimatologii Polarnej
Dostawca treści:
Biblioteka Nauki
Artykuł
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