ÓÄÊ 551.513
Î âëèÿíèè êîëåáàíèÿ
Ìàääåíà – Äæóëèàíà
íà öèðêóëÿöèþ àòìîñôåðû âî âíåòðîïè÷åñêèõ øèðîòàõ Ñåâåðíîãî ïîëóøàðèÿ
Å.Ñ.
Íåñòåðîâ
Ãèäðîìåòåîðîëîãè÷åñêèé
íàó÷íî-èññëåäîâàòåëüñêèé öåíòð
Ðîññèéñêîé Ôåäåðàöèè, ã. Ìîñêâà, Ðîññèÿ
nesterov@mecom.ru
Äàåòñÿ îáçîð èññëåäîâàíèé, ïîñâÿùåííûõ
êîëåáàíèþ Ìàääåíà – Äæóëèàíà (ÊÌÄ) è åãî âëèÿíèþ íà öèðêóëÿöèþ
àòìîñôåðû âî âíåòðîïè÷åñêèõ øèðîòàõ Ñåâåðíîãî ïîëóøàðèÿ. Îñíîâíûì ìåõàíèçìîì
ðàñïðîñòðàíåíèÿ â àòìîñôåðå ñèãíàëà ÊÌÄ âî âíåòðîïè÷åñêèå øèðîòû ÿâëÿþòñÿ âîëíû
Ðîññáè è âîçáóæäàåìûå èìè íèçêî÷àñòîòíûå êîëåáàíèÿ àòìîñôåðíîé öèðêóëÿöèè.
Ïîêàçàíî, ÷òî ÷åðåç íåñêîëüêî íåäåëü ïîñëå àêòèâèçàöèè ÊÌÄ èíòåíñèôèöèðóåòñÿ
ñåâåðîàòëàíòè÷åñêîå êîëåáàíèå (ÑÀÊ), íî ïðè ýòîì òîëüêî îêîëî ïîëîâèíû ýïèçîäîâ
óñèëåíèÿ ÑÀÊ ñâÿçàíû ñ ÊÌÄ. Çèìíèå àíîìàëèè òåìïåðàòóðû âîçäóõà â Ñåâåðíîé
Àìåðèêå, Âîñòî÷íîé Åâðîïå è Âîñòî÷íîé Àçèè, ñâÿçàííûå ñ ÊÌÄ, ó÷èòûâàþò ïðèìåðíî
30 % îáùåé èçìåí÷èâîñòè çèìíèõ àíîìàëèé â ýòèõ ðàéîíàõ.
Êëþ÷åâûå
ñëîâà: êîëåáàíèå
Ìàääåíà – Äæóëèàíà, âîëíû Ðîññáè, âíåòðîïè÷åñêèå øèðîòû,
ñåâåðîàòëàíòè÷åñêîå êîëåáàíèå
The Madden-Julian oscillation effect
on atmospheric
circulation in the Northern Hemisphere
extratropical latitudes
E.S.
Nesterov
Hydrometeorological Research
Center
of Russian Federation, Moscow, Russia
nesterov@mecom.ru
A review of studies on the Madden-Julian oscillation (MJO) and its
effect on the atmospheric circulation in the Northern Hemisphere extratropical
latitudes is given. The main mechanism of the MJO signal
propagation in the extratropical latitudes is Rossby waves and low-frequency
oscillations of atmospheric circulation excited by them. It is shown that a few
weeks after the activation of MJO, the North Atlantic
Oscillation (NAO) intensifies but only about half of the NAO amplification
episodes are associated with MJO. Winter air temperature anomalies in North
America, Eastern Europe, and East Asia associated with MJO explain about 30% of
the total variability of winter anomalies in these regions.
Keywords: Madden-Julian oscillation, Rossby waves, extratropical
latitudes, North Atlantic Oscillation
Ââåäåíèå
Îáû÷íî
â êà÷åñòâå èñòî÷íèêîâ ïðåäñêàçóåìîñòè ñîñòîÿíèÿ àòìîñôåðû âî âíåòðîïè÷åñêèõ
øèðîòàõ íà ñåçîííîì ìàñøòàáå ðàññìàòðèâàþò «ìåäëåííûå» âíåøíèå âîçäåéñòâèÿ
(òåìïåðàòóðà ïîâåðõíîñòè îêåàíà, õàðàêòåðèñòèêè ìîðñêîãî ëüäà è ñíåæíîãî
ïîêðîâà è ò. ä.). Îäíèì èç òàêèõ èñòî÷íèêîâ ÿâëÿþòñÿ ïðîöåññû â òðîïèêàõ,
â ÷àñòíîñòè, ÿâëåíèå Ýëü-Íèíüî – Þæíîå êîëåáàíèå (ÝÍÞÊ) è êîëåáàíèå
Ìàääåíà – Äæóëèàíà (ÊÌÄ). Èçó÷åíèå ãëîáàëüíîãî îòêëèêà íà ÝÍÞÊ
ïîçâîëèëî çàðåãèñòðèðîâàòü âûçâàííûå èì àíîìàëèè òåìïåðàòóðû âîçäóõà è îñàäêîâ,
èçìåíåíèÿ òðàåêòîðèé öèêëîíîâ â ñåâåðíîé ÷àñòè Òèõîãî îêåàíà è ò. ä.
Îáíàðóæåíèå
ñèãíàëà ÝÍÞÊ â ñðåäíèõ è âûñîêèõ øèðîòàõ çàòðóäíåíî â ñâÿçè ñ ñèëüíûì âëèÿíèåì
âíåòðîïè÷åñêîé àòìîñôåðíîé öèðêóëÿöèè íà ãèäðîìåòåîðîëîãè÷åñêèå ïîëÿ. Âìåñòå ñ
òåì â íåêîòîðûõ ðàáîòàõ áûëî ïîêàçàíî, ÷òî âëèÿíèå ÝÍÞÊ íà öèðêóëÿöèþ àòìîñôåðû
ïðîñëåæèâàåòñÿ äî 60° ñ. ø. â òå÷åíèå 10–20 ìåñÿöåâ [2].  êà÷åñòâå
îñíîâíûõ ìåõàíèçìîâ ðàñïðîñòðàíåíèÿ â àòìîñôåðå ñèãíàëà ÝÍÞÊ âî âíåòðîïè÷åñêèå
øèðîòû ðàññìàòðèâàþòñÿ âîëíû Ðîññáè è âîçáóæäàåìûå èìè íèçêî÷àñòîòíûå êîëåáàíèÿ
àòìîñôåðíîé öèðêóëÿöèè, â òîì ÷èñëå ñåâåðîàòëàíòè÷åñêîå êîëåáàíèå (ÑÀÊ).
Ïîìèìî
ÝÍÞÊ, âàæíîé õàðàêòåðèñòèêîé àòìîñôåðíîé öèðêóëÿöèè â òðîïèêàõ ÿâëÿåòñÿ
êîëåáàíèå Ìàääåíà – Äæóëèàíà, êîòîðîå ÿâëÿåòñÿ äîìèíèðóþùåé ìîäîé
èçìåí÷èâîñòè íà ñóáñåçîííîì ìàñøòàáå. ÊÌÄ îòëè÷àåòñÿ îò äðóãèõ àòìîñôåðíûõ
ÿâëåíèé â òðîïèêàõ áîëüøèì ïðîñòðàíñòâåííûì ìàñøòàáîì, õàðàêòåðíûì âðåìåííûì
ìàñøòàáîì 30–60 ñóòîê è ðàñïðîñòðàíåíèåì íà âîñòîê íàä Èíäèéñêèì è Òèõèì
îêåàíîì ñî ñðåäíåé ñêîðîñòüþ îêîëî 430 êì/ñóò [1].
Èññëåäîâàíèÿ ïîñëåäíèõ ëåò ïîêàçàëè, ÷òî ÊÌÄ îêàçûâàåò âëèÿíèå
íà ïîãîäó è êëèìàò çà ïðåäåëàìè òðîïè÷åñêîé îáëàñòè.  ñâÿçè ñ ýòèì ïðîãíîç ÊÌÄ
ñòàë ÷àñòüþ îïåðàòèâíîé ïðîäóêöèè â êðóïíûõ ìåòåîðîëîãè÷åñêèõ öåíòðàõ. Ïðîãíîç
àíîìàëüíûõ ÿâëåíèé ïîãîäû íà ñóáñåçîííîì ìàñøòàáå ïðåäñòàâëÿåò èíòåðåñ äëÿ
ìíîãèõ ïîëüçîâàòåëåé. Ñ öåëüþ ïîâûøåíèÿ ýôôåêòèâíîñòè ïðîãíîçîâ íà ýòîì
ìàñøòàáå â ðàìêàõ Âñåìèðíîé ïðîãðàììû èññëåäîâàíèÿ êëèìàòà ñîçäàí ïðîåêò S2S (Sub-seasonal to Seasonal prediction project). Ñëåäóåò îòìåòèòü, ÷òî â
ðóññêîÿçû÷íîé íàó÷íîé ëèòåðàòóðå ÿâëåíèå ÊÌÄ îïèñûâàåòñÿ ðåäêî [1–5], âìåñòå ñ
òåì â [3] îòìå÷àåòñÿ âîçìîæíîå âëèÿíèå ÊÌÄ íà âíóòðèñåçîííûå êîëåáàíèÿ õàðàêòåðèñòèê
àòìîñôåðû â óìåðåííûõ øèðîòàõ Åâðîïû è Àçèè.
 äàííîé ñòàòüå äàåòñÿ îáçîð èññëåäîâàíèé ïî âëèÿíèþ ÊÌÄ íà öèðêóëÿöèþ
àòìîñôåðû âî âíåòðîïè÷åñêèõ øèðîòàõ Ñåâåðíîãî ïîëóøàðèÿ,
è â ÷àñòíîñòè íà ÑÀÊ.
Õàðàêòåðèñòèêè êîëåáàíèÿ
Ìàääåíà – Äæóëèàíà
Êîëåáàíèå
Ìàääåíà – Äæóëèàíà – ýòî îáëàñòü àòìîñôåðíîé êîíâåêöèè â òðîïè÷åñêèõ
øèðîòàõ Èíäèéñêîãî è Òèõîãî îêåàíîâ, ñîñòîÿùàÿ
èç ÷åðåäóþùèõñÿ çîí óñèëåííîé è ïîäàâëåííîé êîíâåêöèè. Äëÿ êîëè÷åñòâåííîé
õàðàêòåðèñòèêè ÊÌÄ èñïîëüçóåòñÿ èíäåêñ, ñîñòîÿùèé èç äâóõ êîìïîíåíòîâ,
ïðåäñòàâëÿþùèõ ïåðâûé è âòîðîé ñîáñòâåííûå âåêòîðû ýìïèðè÷åñêèõ îðòîãîíàëüíûõ
ôóíêöèé çíà÷åíèé óõîäÿùåé äëèííîâîëíîâîé ðàäèàöèè è ñêîðîñòè âåòðà íà 200 è
850 ãÏà, îñðåäíåííûõ â ïîëîñå
15° ñ. ø. – 15° þ. ø. [10, 23]. Ïåðâûé êîìïîíåíò
õàðàêòåðèçóåò êîððåëÿöèþ ìåæäó êîíâåêòèâíîé àêòèâíîñòüþ â Èíäèéñêîì îêåàíå è â
çàïàäíîé ÷àñòè Òèõîãî îêåàíà, âòîðîé – êîíâåêòèâíóþ àêòèâíîñòü íàä Ìîðñêèì
Êîíòèíåíòîì (ñì. äàëåå). Ýòè äâå ìîäû ó÷èòûâàþò 27 % îáùåé èçìåí÷èâîñòè
êîíâåêöèè.
Îñîáîå
ìåñòî â ðàñïðîñòðàíåíèè ÊÌÄ íà âîñòîê çàíèìàåò òàê íàçûâàåìûé Ìîðñêîé Êîíòèíåíò
(Maritime Continent), ïîä êîòîðûì ïîäðàçóìåâàåòñÿ îáøèðíûé ðàéîí ìåæäó
Èíäèéñêèì è Òèõèì îêåàíîì, âêëþ÷àþùèì Èíäîíåçèéñêèé àðõèïåëàã, îñòðîâà Áîðíåî,
Íîâàÿ Ãâèíåÿ, Ôèëèïïèíñêèå îñòðîâà è îêðóæàþùèå ìîðÿ. Â ýòîì ðàéîíå ïðîèñõîäèò
èíòåíñèâíîå âçàèìîäåéñòâèå îêåàíà è àòìîñôåðû ñ ôîðìèðîâàíèåì áîëüøèõ ïîòîêîâ
òåïëà è âëàãè, ÷òî ñóùåñòâåííî âëèÿåò íà èçìåí÷èâîñòü êîíâåêöèè.
 [7] ïîêàçàíî, ÷òî õàðàêòåðèñòèêè ÊÌÄ çíà÷èòåëüíî ìåíÿþòñÿ ïðè
ïðîõîæäåíèè íàä Ìîðñêèì Êîíòèíåíòîì (ÌÊ) â çàâèñèìîñòè îò ñåçîíà è îò òîãî, êàê
ÊÌÄ ïåðåñåêàåò ÌÊ:
ê ñåâåðó èëè ê þãó îò ýêâàòîðà. Ïîñëåäíåå ñâÿçàíî ñ òåì, ÷òî ê þãó îò ýêâàòîðà
ñóøà çàíèìàåò áîëüøóþ òåððèòîðèþ, ÷åì ê ñåâåðó, è òàì íàõîäÿòñÿ áîëåå âûñîêèå
ãîðû. Â [15] îáñóæäàåòñÿ
âîïðîñ, ÿâëÿåòñÿ ëè ÌÊ áàðüåðîì äëÿ ðàñïðîñòðàíåíèÿ ÊÌÄ íà âîñòîê è ïîä÷åðêèâàåòñÿ
íåîáõîäèìîñòü äàëüíåéøåãî ðàçâèòèÿ ìîäåëåé ýâîëþöèè ÊÌÄ â ýòîì ðàéîíå.
Åæåäíåâíóþ
àêòèâíîñòü ÊÌÄ ïðèíÿòî äåëèòü íà 8 ôàç ïðîäîëæèòåëüíîñòüþ 7–8 äíåé, êîòîðûå
ïðåäñòàâëÿþò òèïè÷íóþ ýâîëþöèþ êîëåáàíèÿ [8,15,21] (ðèñ. 1). Ýòè ôàçû èëè
êëàññû ìîæíî èíòåðïðåòèðîâàòü êàê òðîïè÷åñêèå àíàëîãè âíåòðîïè÷åñêèõ ïîãîäíûõ
ðåæèìîâ. Íàïðèìåð, ôàçû 2 è 3 õàðàêòåðèçóþò óñèëåííóþ êîíâåêöèþ íàä Èíäèéñêèì
îêåàíîì, ôàçû 4 è 5 – íàä Ìîðñêèì Êîíòèíåíòîì, ôàçû 6 è 7 – íàä çàïàäíîé ÷àñòüþ
Òèõîãî îêåàíà, ôàçû 1 è 8 – íàä Àôðèêîé è Çàïàäíûì ïîëóøàðèåì. Íåîáõîäèìî
îòìåòèòü, ÷òî àêòèâíîñòü ÊÌÄ ìîæåò èñïûòûâàòü çíà÷èòåëüíóþ ìåæãîäîâóþ
èçìåí÷èâîñòü ïîä âëèÿíèåì òàêèõ êðóïíîìàñøòàáíûõ ÿâëåíèé êàê ÝÍÞÊ [15].
Âëèÿíèå ÊÌÄ íà öèðêóëÿöèþ àòìîñôåðû
âî âíåòðîïè÷åñêèõ øèðîòàõ
 ïóáëèêàöèÿõ
ðàññìàòðèâàþòñÿ äâà îñíîâíûõ ìåõàíèçìîâ ðàñïðîñòðàíåíèÿ â àòìîñôåðå ñèãíàëà ÊÌÄ
âî âíåòðîïè÷åñêèå øèðîòû. Ïåðâûé – ýòî âîëíû Ðîññáè è âîçáóæäàåìûå èìè
íèçêî÷àñòîòíûå êîëåáàíèÿ àòìîñôåðíîé öèðêóëÿöèè, â òîì ÷èñëå ÑÀÊ (ðèñ. 2).
Âòîðîé – êîñâåííîå âëèÿíèå âîëí Ðîññáè íà ïðîöåññû â ñòðàòîñôåðå; ïðè ýòîì
èçìåíÿåòñÿ ñèëà ïîëÿðíîãî ñòðàòîñôåðíîãî âèõðÿ, ÷òî çàòåì âëèÿåò íà ÑÀÊ.  ÷àñòíîñòè,
òàêîé ìåõàíèçì íàáëþäàëñÿ ïðè âíåçàïíûõ ñòðàòîñôåðíûõ ïîòåïëåíèÿõ [14].
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Ð1 Ð2 Ð3 Ð4 Ð5 Ð6 Ð7 Ð8 |
Ðèñ. 1. Êîìïîçèòû æèçíåííîãî öèêëà ÊÌÄ: àíîìàëèè
äëèííîâîëíîâîé óõîäÿùåé ðàäèàöèè (Âò/ì2, çàëèâêà) è çîíàëüíîãî
êîìïîíåíòà ñêîðîñòè âåòðà íà 850 ãÏà (èçîëèíèè ñ èíòåðâàëîì 0,5 ì/ñ),
ðàññ÷èòàííûå äëÿ êàæäîé èç
8 ôàç ÊÌÄ (Ð1-Ð8) çà 1981-2013 ãã. [15].
Fig. 1. MJO life cycle composite maps for outgoing longwave radiation (Wm-2, shading) and 850-hPa zonal wind (contour interval is 0.5 ms-1) anomalies calculated for each of the eight MJO phases (P1–P8) for all season from 1981 to 2013 [15].

Ðèñ. 2. Àíîìàëèè ãåîïîòåíöèàëà (Í-ïîëîæèòåëüíûå, L-îòðèöàòåëüíûå),
âûçâàííûå ÊÌÄ (óñèëåííîé êîíâåêöèåé â Èíäèéñêîì îêåàíå è ïîäàâëåííîé êîíâåêöèåé
â çàïàäíîé ÷àñòè Òèõîãî îêåàíà). Îðàíæåâûå ëèíèè – ëîêàëüíàÿ öèðêóëÿöèÿ Õýäëè
íàä Èíäèéñêèì îêåàíîì è Âîñòî÷íîé Àçèåé. Êðàñíûå è ñèíèå ëèíèè – òðàåêòîðèè
âîëí Ðîññáè, äîñòèãàþùèå Ñåâåðíîé Àìåðèêè è Âîñòî÷íîé Åâðîïû, ñîîòâåòñòâåííî.
Êðàñíûå è ñèíèå èçîãíóòûå ñòðåëêè – àäâåêöèÿ òåïëà íà Ñåâåðíóþ Àìåðèêó è
àäâåêöèÿ õîëîäà íà Âîñòî÷íóþ Åâðîïó, ñîîòâåòñòâåííî [21].
Fig. 2. Geopotential height anomalies
(H-positive, L-negative) are forced by MJO-enhanced convection over the Indian
Ocean and suppressed convection over the western Pacific. The local Hadley
circulation is shown as the orange lines over the Indian Ocean and East Asia,
accordingly. The Rossby wave trajectories reaching North America are denoted as
a red lines and reaching East Europe are denoted as a blue lines. Warm
advection over North America is denoted as a red curved arrows, and cold
advection over East Europe is denoted as a blue curved arrows [21].
Âûïîëíåííûå â [14] ÷èñëåííûå ýêñïåðèìåíòû ïîêàçàëè,
÷òî ïðè àêòèâèçàöèè ÊÌÄ ÷åðåç íåñêîëüêî íåäåëü ïðîèñõîäèò ïîâûøåíèå ïðèìåðíî íà
70 % ÷àñòîòû âîçíèêíîâåíèÿ ôàç ÑÀÊ. Äëÿ óòî÷íåíèÿ ðîëè ÊÌÄ â ôîðìèðîâàíèè
ÑÀÊ âñå ýïèçîäû ÑÀÊ áûëè ðàçäåëåíû íà äâå êàòåãîðèè: 1) êîòîðûì ïðåäøåñòâîâàëà
èíòåíñèôèêàöèÿ ÊÌÄ; 2) êîòîðûå íå ñâÿçàíû ñ ÊÌÄ. Ýïèçîäîì ñ÷èòàëñÿ ñëó÷àé, åñëè
ïîäðÿä òðè è áîëåå ñóòîê èíäåêñ ÑÀÊ áûë áîëüøå îäíîãî ñòàíäàðòíîãî îòêëîíåíèÿ.
Ïî ñóòî÷íûì äàííûì ïðèçåìíîãî äàâëåíèÿ çà äåêàáðü-ôåâðàëü 1979-2006 ãã. áûë
âûäåëåí 31 ýïèçîä ñ ïîëîæèòåëüíîé ôàçîé ÑÀÊ è 24 ýïèçîäà ñ îòðèöàòåëüíîé ôàçîé.
 ðåçóëüòàòå îêàçàëîñü, ÷òî òîëüêî îêîëî 50 % ýïèçîäîâ ÑÀÊ áûëè ñâÿçàíû ñ
ÊÌÄ.
 [16, 17]
óñòàíîâëåíà ñòàòèñòè÷åñêè çíà÷èìàÿ ñâÿçü ìåæäó ÊÌÄ è ÑÀÊ. Âûÿâëåíî, ÷òî ïðîèñõîäèò
çíà÷èòåëüíîå óñèëåíèå ïîëîæèòåëüíîé (îòðèöàòåëüíîé) ôàçû ÑÀÊ ÷åðåç 5–15 ñóòîê
ïîñëå òîãî êàê ïîäàâëåííàÿ (óñèëåííàÿ) êîíâåêöèÿ, ñâÿçàííàÿ ñ ÊÌÄ, äîñòèãàåò
òðîïè÷åñêîé çîíû öåíòðàëüíîé ÷àñòè Òèõîãî îêåàíà. Íà îñíîâå ãëîáàëüíîé ìîäåëè âûïîëíåíû ïðîãíîçû ÑÀÊ çèìîé íà 45
äíåé â 1985–2008 ãã.
Òàêæå ïîêàçàíî, ÷òî
ïðîãíîç ÑÀÊ ñ çàáëàãîâðåìåííîñòüþ îäèí ìåñÿö áîëåå óñïåøåí â òîì ñëó÷àå, åñëè
íà÷àëüíûé ñèãíàë ÊÌÄ äîñòàòî÷íî ñèëüíûé. Óñïåøíîñòü ïðîãíîçà ÑÀÊ òàêæå çàâèñèò
îò ôàçû ÊÌÄ â íà÷àëüíûé ïåðèîä. Íàèëó÷øèå ïðîãíîçû ïîëó÷åíû, åñëè â íà÷àëüíûõ
óñëîâèÿõ ó÷èòûâàëèñü ôàçû 2, 3, 6, 7. Ýòî îçíà÷àåò, ÷òî ïðîãíîç
áîëåå óñïåøåí, åñëè â íà÷àëå ñóùåñòâóåò çîíàëüíûé äèïîëü ñ óñèëåííîé êîíâåêöèåé
â âîñòî÷íîé ÷àñòè Èíäèéñêîãî îêåàíà è ïîäàâëåííîé êîíâåêöèåé â çàïàäíîé ÷àñòè
Òèõîãî îêåàíà (èëè íàîáîðîò), ÷åì åñëè åñòü òîëüêî îäèí öåíòð êîíâåêöèè íàä
Ìîðñêèì Êîíòèíåíòîì.
Ñòàòèñòè÷åñêàÿ ìîäåëü äëÿ
îöåíêè ïîòåíöèàëüíîé ïðåäñêàçóåìîñòè èíäåêñà ÑÀÊ èëè çíàêà ôàçû ÑÀÊ áûëà
ðàçðàáîòàíà â [8].  êà÷åñòâå ïðåäèêòîðà èñïîëüçîâàëèñü õàðàêòåðèñòèêè
ïðåäøåñòâóþùåé ôàçû ÊÌÄ. Âûïîëíåííûå ïðîãíîçû áûëè óñïåøíû â ~70 %
ñëó÷àåâ.
Ïîìèìî ïðîãíîçà ÑÀÊ,
õàðàêòåðèñòèêè ÊÌÄ èñïîëüçîâàëèñü òàêæå äëÿ ïðîãíîçîâ â äðóãèõ ðåãèîíàõ. Â [21]
áûëî ðàññìîòðåíî âëèÿíèå ÊÌÄ íà òðè ðàéîíà: Ñåâåðíàÿ Àìåðèêà, Âîñòî÷íàÿ Åâðîïà
è Âîñòî÷íàÿ Àçèÿ. Ïîëó÷åíî, ÷òî àíîìàëèè òåìïåðàòóðû âîçäóõà (ÒÂ), ñâÿçàííûå ñ
ÊÌÄ, ó÷èòûâàþò ïðèìåðíî 30 % îáùåé èçìåí÷èâîñòè çèìíèõ àíîìàëèé â ýòèõ
ðàéîíàõ. Îòðèöàòåëüíûå àíîìàëèè Ò â Âîñòî÷íîé Åâðîïå íà÷èíàþò ðàçâèâàòüñÿ,
åñëè óñèëåííûé íàãðåâ ïðè êîíâåêöèè ðàñïîëîæåí â öåíòðàëüíîé ÷àñòè Èíäèéñêîãî
îêåàíà (ôàçà 2). Îñíîâíûì ìåõàíèçìîì ÿâëÿåòñÿ ãîðèçîíòàëüíàÿ àäâåêöèÿ
òåìïåðàòóðû, ñâÿçàííàÿ ñ âîëíàìè Ðîññáè, âîçáóæäåííûìè ÊÌÄ. Ìàêñèìóì
îòðèöàòåëüíîé àíîìàëèè Ò âîçíèêàåò ÷åðåç 10–15 äíåé ïîñëå èíòåíñèôèêàöèè ÊÌÄ.
Âàæíûé âûâîä ýòîé ðàáîòû
ñîñòîèò â òîì, ÷òî õîòÿ âî ìíîãèõ èññëåäîâàíèÿõ ïîêàçàíî ñóùåñòâåííîå âëèÿíèå
àðêòè÷åñêîãî êîëåáàíèÿ, óìåíüøåíèÿ ïëîùàäè ëüäà â àðêòè÷åñêèõ ìîðÿõ è ñíåæíîãî
ïîêðîâà Åâðàçèè íà ýêñòðåìàëüíî õîëîäíûå çèìû âî âíåòðîïè÷åñêèõ øèðîòàõ Ñåâåðíîãî
ïîëóøàðèÿ, ÊÌÄ òàêæå ÿâëÿåòñÿ ïîòåíöèàëüíûì èñòî÷íèêîì ïðåäñêàçóåìîñòè ýòèõ
ÿâëåíèé.
Èññëåäîâàíèå âëèÿíèÿ ÊÌÄ íà òåìïåðàòóðíûé ðåæèì
âíåòðîïè÷åñêèõ øèðîò Ñåâåðíîãî ïîëóøàðèÿ òàêæå ïîêàçàëî, ÷òî â õîëîäíóþ ÷àñòü
ãîäà (íîÿáðü – àïðåëü) â ðåçóëüòàòå àêòèâèçàöèè ÊÌÄ ÷àñòîòà ýêñòðåìóìîâ
òåìïåðàòóðû âîçäóõà âîçðàñòàåò â äâà ðàçà ïî ñðàâíåíèþ ñ íåàêòèâíûìè ïåðèîäàìè
ÊÌÄ [19]. Äåëàåòñÿ âûâîä, ÷òî ó÷åò âëèÿíèÿ ÊÌÄ â ïðîãíîñòè÷åñêèõ ìîäåëÿõ âàæåí
äëÿ çàáëàãîâðåìåííîãî ïðåäóïðåæäåíèÿ îá ýêñòðåìàëüíûõ òåìïåðàòóðàõ.
Èíòåðåñíîå èññëåäîâàíèå ñîâìåñòíîãî âëèÿíèÿ ÊÌÄ è ÝÍÞÊ
íà ÷àñòîòó âîçíèêíîâåíèÿ
áëîêèíãà â âûñîêèõ øèðîòàõ âûïîëíåíî â [12]. Ïîêàçàíî, ÷òî â ïåðèîä Ýëü-Íèíüî ïðîèñõîäèò
óâåëè÷åíèå ÿâëåíèé
áëîêèíãà â Òèõîì è Àòëàíòè÷åñêîì îêåàíàõ âñëåä çà ôàçîé 7 ÊÌÄ,
õàðàêòåðèçóþùåéñÿ ïîâûøåííîé êîíâåêöèåé íàä âîñòî÷íîé ÷àñòüþ Èíäèéñêîãî îêåàíà
è ïîäàâëåííîé êîíâåêöèåé íàä çàïàäíîé ÷àñòüþ Òèõîãî îêåàíà. Ñóùåñòâåííîå óìåíüøåíèå áëîêèíãà ïðîèñõîäèò
âñëåä çà ôàçîé 3, êîãäà êîíâåêöèÿ íàä âîñòî÷íîé ÷àñòüþ Èíäèéñêîãî îêåàíà
ïîäàâëåíà, à íàä çàïàäíîé ÷àñòüþ Òèõîãî îêåàíà óñèëåíà. Âëèÿíèå ÊÌÄ íà
ôîðìèðîâàíèå áëîêèíãà íàä Ñåâåðíîé Àòëàíòèêîé è Åâðîïîé áûëî òàêæå âûÿâëåíî â [9].
 [24] ïîêàçàíî, ÷òî ÊÌÄ ñóùåñòâåííî âëèÿåò íà ïîãîäó â Ñåâåðíîé Àìåðèêå íà
âíóòðèñåçîííîì ìàñøòàáå. Âûÿâëåí ìåðèäèîíàëüíûé ñäâèã øòîðì-òðåêà, ñâÿçàííûé ñ
ÊÌÄ, ñ êîòîðûì, â ñâîþ î÷åðåäü, ñâÿçàíû àíîìàëèè òåìïåðàòóðû âîçäóõà è îñàäêîâ
â ðàçëè÷íûõ ðåãèîíàõ Ñåâåðíîé Àìåðèêè. Íà âîçíèêíîâåíèå ñäâèãà ïîâëèÿëè öåïî÷êè
âîëí Ðîññáè, âîçáóæäåííûå àíîìàëèÿìè êîíâåêöèè, ñâÿçàííûìè ñ ôàçàìè 3 è 8 ÊÌÄ.
Ýòè âîëíîâûå öåïî÷êè, ðàñïðîñòðàíÿÿñü ÷åðåç Òèõèé îêåàí è Ñåâåðíóþ Àìåðèêó,
âûçûâàþò ìåðèäèîíàëüíûé ñäâèã çàïàäíîãî ñòðóéíîãî òå÷åíèÿ è èçìåíåíèÿ â
àêòèâíîñòè øòîðì-òðåêà. Òàêæå íàéäåíî, ÷òî âîëíû Ðîññáè, ñâÿçàííûå ñ
ôàçàìè 2 è 6, âëèÿþò íà ïîãîäó çàïàäíîãî ïîáåðåæüÿ Ñåâåðíîé Àìåðèêè. Â [11]
ïîêàçàíî, ÷òî ÊÌÄ âëèÿåò íå òîëüêî íà øòîðì-òðåê íàä Ñåâåðíîé Àìåðèêîé, íî è íà
åãî ïðîäîëæåíèå íàä Ñåâåðíîé Àòëàíòèêîé è Åâðîïîé.
Îòäåëüíî ñëåäóåò îñòàíîâèòüñÿ íà ðàáîòàõ,
â êîòîðûõ èññëåäóåòñÿ âëèÿíèå ÊÌÄ íà ïðîöåññû â ñòðàòîñôåðå è, â ÷àñòíîñòè, íà
âíåçàïíûå ñòðàòîñôåðíûå ïîòåïëåíèÿ.  [18] èññëåäóåòñÿ âëèÿíèå ÊÌÄ íà ðàçëè÷íûå òèïû ñòðàòîñôåðíûõ
ïîòåïëåíèé, ñâÿçàííûõ ñî ñìåùåíèåì èëè ðàñùåïëåíèåì ïîëÿðíîãî âèõðÿ. Âûÿâëåíî,
÷òî ÊÌÄ ñèëüíåå âëèÿåò íà âòîðîé òèï ïîòåïëåíèé âñëåäñòâèå òîãî, ÷òî ïåðåä ýòèì
òèïîì ñìåùåíèå îáëàñòè àêòèâíîé êîíâåêöèè â òðîïèêàõ íà âîñòîê âûðàæåíî
íàèáîëåå çíà÷èòåëüíî.  [20] óñòàíîâëåíî, ÷òî áîëåå ÷åì ïîëîâèíå ñòðàòîñôåðíûõ
ïîòåïëåíèé ïðåäøåñòâîâàëè ôàçû 6 è 7 ÊÌÄ.
×èñëåííîå ìîäåëèðîâàíèå âëèÿíèÿ ÊÌÄ
íà öèðêóëÿöèþ àòìîñôåðû
Ñïîñîáíîñòü ìîäåëåé ïðîãíîçèðîâàòü ÊÌÄ è åãî âëèÿíèå
íà âíåòðîïè÷åñêèå øèðîòû èññëåäîâàëîñü â ïðîåêòå S2S íà îñíîâå
äàííûõ çà 1999–2010 ãã. [22]. Ïîëó÷åíî, ÷òî ìîäåëè, ó÷àñòâóþùèå â ïðîåêòå S2S, ñïîñîáíû
ïðîãíîçèðîâàòü ÊÌÄ íà ñðîê îò äâóõ äî ÷åòûðåõ íåäåëü.  ñîîòâåòñòâèè ñ äàííûìè
ðåàíàëèçà ERA-Interim ìîäåëè âîñïðîèçâîäÿò óâåëè÷åíèå âåðîÿòíîñòè
âîçíèêíîâåíèÿ ïîëîæèòåëüíîé ôàçû ÑÀÊ âñëåä çà àêòèâèçàöèåé ÊÌÄ íàä Èíäèéñêèì
îêåàíîì è îòðèöàòåëüíîé ôàçû ÑÀÊ âñëåä çà àêòèâèçàöèåé ÊÌÄ íàä çàïàäíîé ÷àñòüþ Òèõîãî îêåàíà.
Íî ïðè ýòîì â Àòëàíòèêî-Åâðîïåéñêîì ðåãèîíå ìîäåëè äàþò çíà÷èòåëüíî áîëåå
ñëàáûé îòêëèê íà ÊÌÄ, ÷åì ïî äàííûì ðåàíàëèçà. Íåîáõîäèìî îòìåòèòü, ÷òî
ïðîãíîçû ÊÌÄ áîëåå óñïåøíû â çèìíèé ïåðèîä, ïîñêîëüêó â ýòî âðåìÿ ñèãíàë ÊÌÄ
âûðàæåí ñèëüíåå, ÷åì ëåòîì [15].
Ïðîáëåìû ìîäåëèðîâàíèÿ ÊÌÄ èññëåäîâàëèñü òàêæå â ïðîåêòå CMIP5 (Coupled
Model
Intercomparison Project phase
5) [6, 13]. Îòìå÷àåòñÿ,
÷òî áîëüøèíñòâî ìîäåëåé, ó÷àñòâóþùèõ â ïðîåêòå, çàíèæàþò àìïëèòóäó ÊÌÄ,
îñîáåííî êîãäà äëÿ îöåíêè èñïîëüçóåòñÿ óõîäÿùàÿ äëèííîâîëíîâàÿ ðàäèàöèÿ, è åñòü
ïðîáëåìû â âîñïðîèçâåäåíèè êîãåðåíòíîñòè ìåæäó ðàñïðîñòðàíåíèåì íà âîñòîê
îáëàñòè êîíâåêöèè/îñàäêîâ è ïîëåì âåòðà. Òàêæå åñòü òðóäíîñòè â ìîäåëèðîâàíèè
âëèÿíèÿ ÊÌÄ íà êðóïíîìàñøòàáíûå êîëåáàíèÿ öèðêóëÿöèè àòìîñôåðû (òåëåñâÿçè).
Âìåñòå ñ òåì â [21]
äåëàåòñÿ îïòèìèñòè÷íûé âûâîä, ÷òî àíîìàëèè òåìïåðàòóðû âîçäóõà, ñâÿçàííûå ñ
ÊÌÄ, ìîãóò áûòü ïðåäñêàçàíû ñ çàáëàãîâðåìåííîñòüþ 10–20 äíåé. Ñ ó÷åòîì òîãî,
÷òî ñîâðåìåííûå ìîäåëè îêåàí-àòìîñôåðà â Åâðîïåéñêîì öåíòðå ñðåäíåñðî÷íûõ
ïðîãíîçîâ ïîãîäû è â Ñëóæáå ïîãîäû ÑØÀ ìîãóò ïðåäñêàçûâàòü ÊÌÄ ñ
çàáëàãîâðåìåííîñòüþ 20–30 äíåé, ìîæíî îæèäàòü, ÷òî çàáëàãîâðåìåííîñòü ïðîãíîçà
êðóïíûõ àíîìàëèé òåìïåðàòóðû âîçäóõà âî âíåòðîïè÷åñêèõ øèðîòàõ äîñòèãíåò 30–45
äíåé.
Çàêëþ÷åíèå
 ðàçëè÷íûõ èññëåäîâàíèÿõ
ïîêàçàíî, ÷òî êîëåáàíèå Ìàääåíà – Äæóëèàíà âëèÿåò íà öèðêóëÿöèþ àòìîñôåðû
âî âíåòðîïè÷åñêèõ øèðîòàõ Ñåâåðíîãî ïîëóøàðèÿ.  ÷àñòíîñòè, âûÿâëåíî, ÷òî ÷åðåç
íåñêîëüêî íåäåëü ïîñëå àêòèâèçàöèè ÊÌÄ èíòåíñèôèöèðóåòñÿ ñåâåðîàòëàíòè÷åñêîå
êîëåáàíèå, íî ïðè ýòîì òîëüêî îêîëî ïîëîâèíû ýïèçîäîâ óñèëåíèÿ ÑÀÊ ñâÿçàíû ñ
ÊÌÄ. Çèìíèå àíîìàëèè òåìïåðàòóðû âîçäóõà â Ñåâåðíîé Àìåðèêå, Âîñòî÷íîé Åâðîïå è
Âîñòî÷íîé Àçèè, ñâÿçàííûå ñ ÊÌÄ, ó÷èòûâàþò ïðèìåðíî 30 % îáùåé
èçìåí÷èâîñòè çèìíèõ àíîìàëèé â ýòèõ ðàéîíàõ. Åñòü ïðîãðåññ â ìîäåëèðîâàíèè
âëèÿíèÿ ÊÌÄ íà ôîðìèðîâàíèå àíîìàëèé òåìïåðàòóðû âîçäóõà âî âíåòðîïè÷åñêèõ
øèðîòàõ.
Ñïèñîê ëèòåðàòóðû
1. Ãóùèíà Ä.Þ., Äåâèòò Á. ßâëåíèå Ýëü-Íèíüî
è åãî âëèÿíèå íà ïðîöåññû â àòìîñôåðå è îêåàíå // Òðóäû ÃÎÈÍ. 2016. Âûï. 217. Ñ. 184-208.
2. Æåëåçíîâà È.Â., Ãóùèíà Ä.Þ. Îòêëèê
ãëîáàëüíîé öèðêóëÿöèè àòìîñôåðû íà äâà òèïà Ýëü-Íèíüî // Ìåòåîðîëîãèÿ è
ãèäðîëîãèÿ. 2015. ¹ 3. Ñ. 36-50.
3. Èâàíîâ Â.Í., Ñòåðèí À.Ì., Õîõëîâà À.Â. Âíóòðèñåçîííûå êîëåáàíèÿ
àòìîñôåðû â óìåðåííûõ øèðîòàõ Åâðîïû è Àçèè è èõ ïàðàìåòðû // Ìåòåîðîëîãèÿ è
ãèäðîëîãèÿ. 2003. ¹ 5. Ñ. 31-43.
4. Êèêòåâ Ä.Á., Òîëñòûõ Ì.À., Ìèðâèñ Â.Ì. Î ïðåäñêàçóåìîñòè
ýêñòðåìàëüíûõ ìåòåîðîëîãè÷åñêèõ ÿâëåíèé íà âðåìåííûõ ìàñøòàáàõ äî ñåçîíà //
Ýêñòðåìàëüíûå ïàâîäêè â áàññåéíå ð. Àìóð: ïðè÷èíû, ïðîãíîçû, ðåêîìåíäàöèè. Ì., 2014. Ñ. 54-66.
5. Ïåòðîñÿíö Ì.À., Ñåìåíîâ Å.Ê., Ãóùèíà Ä.Þ., Ñîêîëèõèíà Å.Â., Ñîêîëèõèíà
Í.Í. Öèðêóëÿöèÿ àòìîñôåðû â òðîïèêàõ: êëèìàò è èçìåí÷èâîñòü. Ì.: ÌÀÊÑ Ïðåññ, 2005. 670
ñ.
6. Ahn M., Kim D., Sperber K., Kang I., Maloney E., Waliser D., Hendon H. MJO simulation in CMIP5 climate models: MJO
skill metrics and process-oriented diagnosis // Clim. Dyn. 2017. Vol.49,
no. 11-12. P. 4023-4045.
7. Burleyson C.D., Hagos S.M., Feng Z., Kerns B.W.J.,
Kim D. Large-scale
environmental characteristics of MJOs that strengthen and weaken over the
Maritime Continent // J. Clim. 2018. Vol. 31, no. 14. P.
5731-5748.
8. Cassou C. Intraseasonal interaction between the Madden–Julian Oscillation and
the North Atlantic Oscillation // Nature. 2008. Vol. 455. P. 523-527.
9. Gollan
G., Greatbatch R. The relationship
between northern hemisphere winter blocking and tropical modes of variability //
J. Clim. 2017. Vol. 30, no. 22. P. 9321-9337.
10. Gottschalck
J., Meng J., Rodell M., Houser P. A framework for assessing
operational Madden–Julian oscillation forecasts: A CLIVAR MJO working group
project // Bull. Amer. Met. Soc. 2010. Vol. 91, no. 9. P.1247-1258.
11. Guo
Y., Shinoda T., Lin J., Chang E. K. M. Variations of Northern Hemisphere storm track
and extratropical cyclone activity associated with the Madden–Julian oscillation // J. Clim. 2017. Vol. 30, no. 13. P.
4799-4818.
12. Henderson S.A., Maloney
E.D. The impact of the Madden–Julian oscillation on
high-latitude winter blocking during El Niño–Southern oscillation events
// J. Clim. 2018. Vol. 31, no. 13. P.
5293-5318.
13. Henderson S.A., Maloney
E.D., Son S.-W. Madden–Julian oscillation Pacific teleconnections: the impact of the
basic state and MJO representation in general circulation models // J. Clim.
2017. Vol. 30, no. 12. P. 4567-4587.
14. Jiang
Z., Feldstein S.B., Lee S. The relationship between the Madden–Julian Oscillation and the North
Atlantic Oscillation // Quart. J. Roy.
Met. Soc. 2017. Vol. 143, no. 702. P. 240-250.
15.
Kim H-M., D.,
F.,
V.E.,
J.-S.,
P.J. MJO Propagation across the Maritime Continent in the ECMWF Ensemble Prediction
System // J. Clim. 2016. Vol.
29, no. 11. P. 3973-3988.
16. Lin H., Brunet
G., Derome J. An observed connection between the North Atlantic Oscillation and the
Madden–Julian Oscillation // J. Clim. 2009. Vol. 22, no. 2. P. 364-380.
17. Lin H., Brunet G., Fontecilla J.S. Impact of the Madden–Julian Oscillation on the
intraseasonal forecast skill of the North Atlantic Oscillation // Geophys. Res. Lett. 2010. Vol. 37: L19803. Doi:
10.1029/2010GL044315.
18. Liu C.,
Tian B., Li K.-F., Manney G.L., Livesey N.J., Yung Y.L., Waliser D.E. Northern hemisphere mid-winter vortex-displacement and vortex-split
stratospheric sudden warmings: influence of the Madden–Julian oscillation and
quasi-biennial oscillation // J. Geophys. Res. Atmospheres. 2014. Vol. 119,
no. 22. P. 12599-12620.
19. Matsueda S., Takaya Y. The global influence of the Madden–Julian Oscillation on extreme temperature events // J. Clim. 2015. Vol. 28, no. 10. P.
4141-4151.
20. Schwartz
C., Garfinkel C. Relative
roles of the MJO and stratospheric variability in North Atlantic and European
winter climate // J. Geophys. Res. Atmospheres. 2017. Vol. 122,
no. 8. P. 4184-4201.
21. Seo
K-H., Lee
H-J., Frierson D.M.W. Unraveling
the teleconnection mechanisms that induce wintertime temperature anomalies over
the Northern Hemisphere continents in response to the MJO // J. Atm. Sci. 2016.
Vol. 73, no. 9. P. 3557-3571.
22. Vitart F.
Madden-Julian oscillation prediction and teleconnections in the S2S database //
Quart.
J. Roy. Met. Soc. 2017. Vol. 143, no. 706. P.
2210-2220.
23. Wheeler M. C., Hendon H. H. An
all-season real-time multivariate MJO index: development of an index for
monitoring and prediction // Mon. Weath. Rev. 2004. Vol. 132, no. 8. P.
1917-1932.
24. Zheng
C., Chang E. K-M., Kim
H-M., Zhang
M., Wang W. Impacts of the Madden–Julian oscillation on storm-track activity, surface
air temperature, and precipitation over North America // J.
Clim. 2018. Vol. 31, no. 15. P. 6113-6134.
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Chang E. K. M. Variations of Northern
Hemisphere storm track and extratropical cyclone activity associated with
the Madden–Julian
oscillation. J. Clim., 2017, vol. 30, no. 13, pp. 4799-4818.
12. Henderson S.A., Maloney E.D. The impact of the Madden–Julian oscillation on
high-latitude winter blocking during El Niño–Southern oscillation events. J. Clim., 2018, vol. 31, no. 13, pp. 5293-5318.
13. Henderson S.A., Maloney E.D., Son S.-W. Madden–Julian oscillation Pacific teleconnections: the impact of the basic state and MJO
representation in general circulation models. J. Clim., 2017, vol. 30, no. 12, pp. 4567-4587.
14. Jiang Z., Feldstein S.B., Lee S. The relationship
between the Madden–Julian Oscillation and the North Atlantic Oscillation. Quart. J.
Roy. Met. Soc., 2017, vol. 143, no.
702, pp. 240-250.
15. Kim H-M., D., F., V.E., J.-S., P.J. MJO Propagation across
the Maritime Continent in the ECMWF Ensemble Prediction System. J. Clim.,
2016, vol.
29, no. 11, pp. 3973-3988.
16. Lin H., Brunet G., Derome J. An
observed connection between the North Atlantic Oscillation and the Madden–Julian
Oscillation. J. Clim. 2009, vol. 22, no. 2, pp. 364-380.
17. Lin H., Brunet G., Fontecilla J.S. Impact
of the Madden–Julian Oscillation on the intraseasonal forecast skill of the
North Atlantic Oscillation. Geophys. Res. Lett., 2010, vol. 37:
L19803. DOI: 10.1029/2010GL044315.
18. Liu C., Tian B., Li K.-F., Manney G.L., Livesey N.J., Yung Y.L., Waliser D.E. Northern hemisphere
mid-winter vortex-displacement and vortex-split stratospheric sudden warmings:
influence of the Madden–Julian oscillation and quasi-biennial oscillation. J. Geophys. Res.
Atmospheres, 2014, vol. 119, no. 22, pp. 12599-12620.
19. Matsueda S., Takaya Y. The global influence of the Madden–Julian
Oscillation on
extreme temperature events. J. Clim., 2015, vol.
28, no. 10, pp. 4141-4151.
20.
Schwartz C., Garfinkel C. Relative roles of the MJO and stratospheric
variability
in North Atlantic and European winter climate. J. Geophys. Res. Atmospheres., 2017, vol. 122, no. 8, pp.
4184-4201.
21. Seo K-H., Lee H-J., Frierson D.M.W. Unraveling the teleconnection mechanisms that
induce wintertime temperature anomalies over the Northern Hemisphere continents
in response to the MJO. J. Atm. Sci.,
2016, vol. 73, no. 9, pp. 3557-3571.
22. Vitart F. Madden-Julian oscillation prediction and
teleconnections in the S2S database. Quart. J. Roy. Met. Soc.,
2017, vol. 143, no. 706, pp. 2210-2220.
23. Wheeler M. C., Hendon H. H. An all-season
real-time multivariate MJO index: development of an index for monitoring and
prediction. Mon. Weath. Rev., 2004,
vol. 132, no. 8, pp. 1917-1932.
24. Zheng C., Chang E. K-M., Kim H-M., Zhang M., Wang W. Impacts of the Madden–Julian
oscillation on storm-track activity, surface air temperature, and precipitation
over North America. J. Clim., 2018, vol. 31, no. 15, pp. 6113-6134.
Ïîñòóïèëà â ðåäàêöèþ 25.10.2018 ã.
Received by the
editor 25.10.2018.