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A composite analysis is used to evaluate the teleconnections between the long term (June- August) rainfall anomalies with east and west phases of quasi-biennial oscillation (QBO) in the stratospheric zonal winds from 1979–2017. Applying the lower equatorial stratospheric zonal wind index in JJA rainfall prediction is based on its tendency to persist for several months after the phase change from easterly to westerly and vice versa. Below normal condition rainfall used to coin drought. This study is important because, the Upper Blue Nile region is one of the most inviting areas for different activities like agriculture and hydroelectric power; therefore, timely prediction of June-August rainfall serves farmers and other concerned sectors. The aim of this analysis is to establish the global signal quasi-biennial oscillation contribution alone at different time lags and its association among Southern Oscillation Index (SOI) for estimation June-August rainfall of the Upper Blue Nile. The rainfall used as predictand while quasi-biennial oscillation & SOI datasets are used as predictors in regression model after testing collinearity of these two independent variables. Performance of regression model and actual value is tested by using statistical techniques: Root Mean Square Error, Mean Absolute Error and bias. The performance is seen reasonably high between actual and estimated values show strong agreement.
Citation: Abebe Kebede Habtegebreal, Abebaw Bizuneh Alemu, U. Jaya Prakash Raju. Examining the Role of Quasi-biennial Oscillation on Rainfall patterns over Upper Blue Nile Basin of Ethiopia[J]. AIMS Environmental Science, 2021, 8(3): 190-203. doi: 10.3934/environsci.2021013
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A composite analysis is used to evaluate the teleconnections between the long term (June- August) rainfall anomalies with east and west phases of quasi-biennial oscillation (QBO) in the stratospheric zonal winds from 1979–2017. Applying the lower equatorial stratospheric zonal wind index in JJA rainfall prediction is based on its tendency to persist for several months after the phase change from easterly to westerly and vice versa. Below normal condition rainfall used to coin drought. This study is important because, the Upper Blue Nile region is one of the most inviting areas for different activities like agriculture and hydroelectric power; therefore, timely prediction of June-August rainfall serves farmers and other concerned sectors. The aim of this analysis is to establish the global signal quasi-biennial oscillation contribution alone at different time lags and its association among Southern Oscillation Index (SOI) for estimation June-August rainfall of the Upper Blue Nile. The rainfall used as predictand while quasi-biennial oscillation & SOI datasets are used as predictors in regression model after testing collinearity of these two independent variables. Performance of regression model and actual value is tested by using statistical techniques: Root Mean Square Error, Mean Absolute Error and bias. The performance is seen reasonably high between actual and estimated values show strong agreement.
The Schrödinger-Virasoro algebra is an infinite-dimensional Lie algebra that was introduced (see, e.g., [10]) in the context of non-equilibrium statistical physics. In [21], the author give a representation of the Schrödinger-Virasoro algebra by using vertex algebras, and introduced an extension of the Schrödinger-Virasoro algebra. To be precise, for
{Li,Hj,Ii|i∈Z,j∈ε+Z} |
and Lie brackets
[Lm,Ln]=(m−n)Lm+n,[Lm,Hn]=(12m−n)Hm+n,[Lm,In]=−nIm+n,[Hm,Hn]=(m−n)Im+n,[Hm,In]=[Im,In]=0. |
The Lie algebra
Post-Lie algebras were introduced around 2007 by B. Vallette [22], who found the structure in a purely operadic manner as the Koszul dual of a commutative trialgebra. Post-Lie algebras have arose the interest of a great many authors, see [4,5,12,13]. One of the most important problems in the study of post-Lie algebras is to find the post-Lie algebra structures on the (given) Lie algebras. In [13,18,20], the authors determined all post-Lie algebra structures on
In this paper, we shall study the graded post-Lie algebra structures on the Schrödinger-Virasoro algebra. We only study the twisted Schrödinger-Virasoro algebra
Throughout this paper, we denote by
The paper is organized as follows. In Section 2, we give general results on post-Lie algebras and some lemmas which will be used to our proof. In Section 3, we completely characterize the graded post-Lie algebra structures on Schrödinger-Virasoro algebra
We will give the essential definitions and results as follows.
Definition 2.1. A post-Lie algebra
[x,y]▹z=x▹(y▹z)−y▹(x▹z)−⟨x,y⟩▹z, | (1) |
x▹[y,z]=[x▹y,z]+[y,x▹z] | (2) |
for all
Suppose that
τ(x▹1y)=τ(x)▹2τ(y),∀x,y∈L. |
Remark 1. The left multiplications of the post-Lie algebra
Lemma 2.2. [15] Denote by
Der(S)=Inn(S)⊕CD1⊕CD2⊕CD3 |
where
D1(Ln)=0,D1(Hn)=Hn,D1(In)=2In,D2(Ln)=nIn,D2(Hn)=0,D2(In)=0,D3(Ln)=In,D3(Hn)=0,D3(In)=0. |
Since the Schrödinger-Virasoro algebra
Lm▹Ln=ϕ(m,n)Lm+n, | (3) |
Lm▹Hn=φ(m,n)Hm+n, | (4) |
Lm▹In=χ(m,n)Im+n, | (5) |
Hm▹Ln=ψ(m,n)Hm+n, | (6) |
Hm▹Hn=ξ(m,n)Im+n, | (7) |
Im▹Ln=θ(m,n)Im+n, | (8) |
Hm▹In=Im▹Hn=Im▹In=0, | (9) |
for all
We start with the crucial lemma.
Lemma 3.1. There exists a graded post-Lie algebra structure on
ϕ(m,n)=(m−n)f(m), | (10) |
φ(m,n)=(m2−n)f(m)+δm,0μ, | (11) |
χ(m,n)=−nf(m)+2δm,0μ, | (12) |
ψ(m,n)=−(n2−m)h(m), | (13) |
ξ(m,n)=(m−n)h(m), | (14) |
θ(m,n)=mg(m)+δm,0na, | (15) |
(m−n)(f(m+n)(1+f(m)+f(n))−f(n)f(m))=0, | (16) |
(m−n)δm+n,0μ(1+f(m)+f(n))=0, | (17) |
(m2−n)(h(m+n)(1+f(m)+h(n))−f(m)h(n))=0, | (18) |
nδm+n,0a(1+f(m)+g(n))=0, | (19) |
n(m+n)(g(m+n)(1+f(m)+g(n))−f(m)g(n)) =δn,0m2a(f(m)−g(m)), | (20) |
(m−n)δm+n,0a(1+h(m)+h(n))=0, | (21) |
(m−n)(g(m+n)(1+h(m)+h(n))−h(m)h(n))=0. | (22) |
Proof. Suppose that there exists a graded post-Lie algebra structure satisfying (3)-(9) on
x▹y=(adψ(x)+α(x)D1+β(x)D2+γ(x)D3)(y)=[ψ(x),y]+α(x)D1(y)+β(x)D2(y)+γ(x)D3(y) |
where
Lm▹Ln=[ψ(Lm),Ln]+β(Lm)nIn+γ(Lm)In=ϕ(m,n)Lm+n, | (23) |
Lm▹Hn=[ψ(Lm),Hn]+α(Lm)Hn=φ(m,n)Hm+n, | (24) |
Lm▹In=[ψ(Lm),In]+α(Lm)2In=χ(m,n)Im+n, | (25) |
Hm▹Ln=[ψ(Hm),Ln]+β(Hm)nIn+γ(Hm)In=ψ(m,n)Hm+n, | (26) |
Hm▹Hn=[ψ(Hm),Hn]+α(Hm)Hn=ξ(m,n)Im+n, | (27) |
Hm▹In=[ψ(Hm),In]+α(Hm)2In=0, | (28) |
Im▹Ln=[ψ(Im),Ln]+β(Im)nIn+γ(Im)In=θ(m,n)Im+n, | (29) |
Im▹Hn=[ψ(Im),Hn]+α(Im)Hn=0, | (30) |
Im▹In=[ψ(Im),In]+α(Im)2In=0. | (31) |
Let
ψ(Lm)=∑i∈Za(m)iLi+∑i∈Zb(m)iHi+∑i∈Zc(m)iIi,ψ(Hm)=∑i∈Zd(m)iLi+∑i∈Ze(m)iHi+∑i∈Zf(m)iIi,ψ(Im)=∑i∈Zg(m)iLi+∑i∈Zh(m)iHi+∑i∈Zx(m)iIi |
where
The "if'' part is a direct checking. The proof is completed.
Lemma 3.2. Let
g(n),h(n)∈{0,−1}for everyn≠0. | (32) |
Proof. By letting
Lemma 3.3. Let
g(Z)=h(Z)=0org(Z)=h(Z)=−1. |
Proof. Since
a(1+g(−1))=0. | (33) |
By letting
(m2−n)(h(m+n)(1+h(n))=0, | (34) |
n(m+n)(g(m+n)(1+g(n))=0, | (35) |
(m−n)(g(m+n)−h(m)h(n)+h(m)g(m+n)+h(n)g(m+n))=0. | (36) |
We now prove the following four claims:
Claim 1. If
By (34) with
Claim 2. If
By (34) with
Claim 3. If
By (35) with
Claim 4. If
By (35) with
Now we consider the values of
Case i. If
Case ii. If
Case iii. If
Case iv. If
Lemma 3.4. Let
(i)
(ii)
(iii)
Proof. By
h(m+n)(h(n)+1)=0 if m⩽1,m2−n≠0, | (37) |
g(m+n)(g(n)+1)=0 if m⩽1,n≠0,m+n≠0, | (38) |
g(m+n)(1+h(m)+h(n))=h(m)h(n) if m≠n. | (39) |
We first prove the following six claims:
Claim 1. If
By (37) with
Claim 2. If
By (37) with
Claim 3. If
By (37) with
Claim 4. If
By (37) with
Next, similar to Claims 1 and 3, we from (38) obtain the following claims.
Claim 5. If
Claim 6. If
Now we discuss the values of
Case i. When
By Claim 1 we have
Case ii. When
By Claim 2 we have
Case iii. When
By Claims 3 and 4 we have
It is easy to check that the values of
Lemma 3.5. Let
(i)
(ii)
(iii)
for some
(iv)
Proof. Take
h(0)(1+f(−n)+h(n))=f(−n)h(n), for all n≠0, | (40) |
a(1+f(−n)+g(n))=0, for all n≠0, | (41) |
a(1+h(−n)+h(n))=0, for all n≠0, | (42) |
g(0)(1+h(−n)+h(n))=h(−n)h(n), for all n≠0. | (43) |
Note that
h(n)(h(m+n)+1)=0 for all m>0,m2−n≠0; | (44) |
h(m+n)(h(n)+1)=0 for all m<0,m2−n≠0; | (45) |
g(n)(g(m+n)+1)=0 for all m>0,n≠0,m+n≠0; | (46) |
g(m+n)(g(n)+1)=0 for all m<0,n≠0,m+n≠0; | (47) |
g(m+n)(1+h(m)+h(n))=h(m)h(n) for all m≠n. | (48) |
For any
Claim 1. If
In fact, by (44) with
Claim 2. If
This proof is similar to Claim 1 by using (44) and (45). Also, similar to Claims 1 and 2, by (46) and (47) we can obtain the following two claims:
Claim 3. If
Claim 4. If
According to (32), by Claims 1 and 2,
(1)
(2)
(3)
(4)
In view of the above result, the next proof will be divided into the following cases.
Case i. When
By taking
Case ii. When
By taking
Case iii. When
By (48) we see that
Case iv. When
Note that
Lemma 3.6. Let
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Proof. The proof of the "if" direction can be directly verified. We now prove the "only if" direction. In view of
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When
When
When
Lemma 3.7. Let (P(ϕi,φi,χi,ψi,ξi,θi),▹i), i=1,2 be two algebras with the same linear space as S and equipped with C-bilinear products x▹iy such that
Lm▹iLn=ϕi(m,n)Lm+n,Lm▹iHn=φi(m,n)Hm+n,Lm▹iIn=χi(m,n)Im+n,Hm▹iLn=ψi(m,n)Hm+n,Hm▹iHn=ξi(m,n)Im+n,Im▹iLn=θi(m,n)Im+n,Hm▹iIn=Im▹iHn=Im▹iIn=0 |
for all m,n∈Z, where ϕi,φi,χi,ψi,ξi,θi, i=1,2 are complex-valued functions on Z×Z. Furthermore, let τ:P(ϕ1,φ1,χ1,ψ1,ξ1,θ1)→P(ϕ2,φ2,χ2,ψ2,ξ2,θ2) be a linear map determined by
τ(Lm)=−L−m,τ(Hm)=−H−m,τ(Im)=−I−m |
for all
{ϕ2(m,n)=−ϕ1(−m,−n);φ2(m,n)=−φ1(−m,−n);χ2(m,n)=−χ1(−m,−n);ψ2(m,n)=−ψ1(−m,−n);ξ2(m,n)=−ξ1(−m,−n);θ2(m,n)=−θ1(−m,−n). | (49) |
Proof. Clearly,
τ(Lm▹iLn)=−ϕi(m,n)L−(m+n),τ(Lm▹iHn)=−φi(m,n)H−(m+n),τ(Lm▹iIn)=−χi(m,n)I−(m+n),τ(Hm▹iLn)=−ψi(m,n)H−(m+n),τ(Hm▹iHn)=−ξi(m,n)I−(m+n),τ(Im▹iLn)=−θi(m,n)I−(m+n) |
for
The remainder is to prove that
τ(Lm▹1Ln)=−ϕ1(m,n)L−(m+n)=ϕ2(−m,−n)L−(m+n)=τ(Lm)▹2τ(Ln),τ(Lm▹1Hn)=−φ1(m,n)H−(m+n)=φ2(−m,−n)H−(m+n)=τ(Lm)▹2τ(Hn),τ(Lm▹1In)=−χ1(m,n)I−(m+n)=χ2(−m,−n)I−(m+n)=τ(Lm)▹2τ(In),τ(Hm▹1Ln)=−ψ1(m,n)H−(m+n)=ψ2(−m,−n)H−(m+n)=τ(Hm)▹2τ(Ln),τ(Hm▹1Hn)=−φ1(m,n)I−(m+n)=φ2(−m,−n)I−(m+n)=τ(Hm)▹2τ(Hn), |
τ(Im▹1Ln)=−θ1(m,n)I−(m+n)=ϕ2(−m,−n)I−(m+n)=τ(Im)▹2τ(Ln) |
and
Theorem 3.8. A graded post-Lie algebra structure on
where
Proof. Suppose that
Conversely, every type of the
Finally, by Lemma 3.7 with maps
The Rota-Baxter algebra was introduced by the mathematician Glen E. Baxter [2] in 1960 in his probability study, and was popularized mainly by the work of Rota [G. Rota1, G. Rota2] and his school. Recently, the Rota-Baxter algebra relation were introduced to solve certain analytic and combinatorial problem and then applied to many fields in mathematics and mathematical physics (see [6,7,19,23] and the references therein). Now let us recall the definition of Rota-Baxter operator.
Definition 4.1. Let
[R(x),R(y)]=R([R(x),y]+[x,R(y)])+λR([x,y]),∀x,y∈L. | (50) |
Note that if
In this section, we mainly consider the homogeneous Rota-Baxter operator
R(Lm)=f(m)Lm, R(Hm)=h(m)Hm, R(Im)=g(m)Im | (51) |
for all
Lemma 4.2. (see [1]) Let
Theorem 4.3. A homogeneous Rote-Baxrer operator
(
(
(
(
(
(
(
(
(
(
(
(
(
(
(
(
(
(
(
for all
Proof. In view of Lemma 4.2, if we define a new operation
Lm▹Ln=[R(Lm),Ln]=(m−n)f(m)Lm+n, | (52) |
Lm▹Hn=[R(Lm),Hn]=(m2−n)f(m)Hm+n, | (53) |
Lm▹In=[R(Lm),In]=−nf(m)Im+n, | (54) |
Hm▹Ln=[R(Hm),Ln]=−(n2−m)h(m)Hm+n, | (55) |
Hm▹Hn=[R(Hm),Hn]=(m−n)h(m)Im+n, | (56) |
Im▹Ln=[R(Im),Ln]=mg(m)Im+n | (57) |
and
A similar discussion to Lemma 3.1 gives
(m−n)(f(m+n)−f(n)f(m)+f(m)f(m+n)+f(n)f(m+n))=0,(m2−n)(h(m+n)−f(m)h(n)+f(m)h(m+n)+h(n)h(m+n))=0,n(m+n)(g(m+n)(1+f(m)+g(n))−f(m)g(n))=0,(m−n)(g(m+n)−h(m)h(n)+h(m)g(m+n)+h(n)g(m+n))=0. |
From this we conclude that Equations (10)-(22) hold with
The natural question is: how we can characterize the Rota-Baxter operators of weight zero on the Schrödinger-Virasoro
Definition 4.4. A pre-Lie algebra
(x▹y)▹z−x▹(y▹z)=(y▹x)▹z−y▹(x▹z),∀x,y,z∈A. | (58) |
As a parallel result of Lemma 4.2, one has the following conclusion.
Proposition 1. (see [8]) Let
Using a similar method on classification of Rota-Baxter operators of weight
We would like to express our sincere thanks to the anonymous referees for their careful reading and valuable comments towards the improvement of this article.
[1] |
Geller MA, Zhou T, Shindell D, et al. (2016) Modeling the qboimprovements resulting from higher-model vertical resolution. J Adv model earth syst 8: 1092-1105. doi: 10.1002/2016MS000699
![]() |
[2] |
Dunkerton TJ (1997). The role of gravity waves in the quasi-biennial oscillation. J Geophys Res-Atmos 102: 26053-26076. doi: 10.1029/96JD02999
![]() |
[3] | Liang C, Eldering A, Gettelman A, et al. (2011) Record of tropical interannual variability of temperature and water vapor from a combined airs-mls data set. J Geophys Res-Atmos 116. |
[4] |
Randel WJ, Wu F, Oltmans SJ, et al. (2004) Interannual changes of stratospheric water vapor and correlations with tropical tropopause temperatures. J Atmos Sci 61: 2133-2148. doi: 10.1175/1520-0469(2004)061<2133:ICOSWV>2.0.CO;2
![]() |
[5] |
Collimore CC, Martin DW, Hitchman MH, et al. (2003) On the relationship between the qbo and tropical deep convection. J climate 16: 2552-2568. doi: 10.1175/1520-0442(2003)016<2552:OTRBTQ>2.0.CO;2
![]() |
[6] | Ho CH, Kim HS, Jeong JH, et al. (2009) Influence of stratospheric quasi-biennial oscillation on tropical cyclone tracks in the western north pacific. Geophys Res Lett 36. |
[7] | Liess S, Geller MA (2012) On the relationship between qbo and distribution of tropical deep convection. J Geophys Res-Atmos 117. |
[8] |
Yuan W, Geller MA, Love PT (2014) Enso influence on qbo modulations of the tropical tropopause. Q J Roy Meteor Soc 140: 1670-1676. doi: 10.1002/qj.2247
![]() |
[9] |
Gray WM, Sheaffer JD, Knaff JA. (1992) Influence of the stratospheric qbo on enso variability. J Meteorol Soc Jpn 70: 975-995. doi: 10.2151/jmsj1965.70.5_975
![]() |
[10] |
Camberlin P, Philippon N (2002) The east african march-may rainy season: Associated atmospheric dynamics and predictability over the 1968-97 period. J Climate 15: 1002-1019. doi: 10.1175/1520-0442(2002)015<1002:TEAMMR>2.0.CO;2
![]() |
[11] | Ngongolo HK, Smyshlyaev SP (2010) The statistical prediction of east african rainfalls using quasi-biennial oscillation phases information. Nat Sci 2: 1407. |
[12] | Seleshi Y, Zanke U. (2004) Recent changes in rainfall and rainy days in ethiopia. International Journal of Climatology: A J Royal Meteorol Soc 24: 973-983. |
[13] |
Korecha D, Barnston AG (2007) Predictability of june-september rainfall in ethiopia. Mon Weather Rev 135: 628-650. doi: 10.1175/MWR3304.1
![]() |
[14] | Awulachew SB, Yilma AD, Loulseged M, et al. (2007) Water resources and irrigation development in Ethiopia 123. Iwmi. |
[15] |
Block P, Rajagopalan B (2007) Interannual variability and ensemble forecast of upper blue nile basin kiremt season precipitation. J Hydrometeorol 8: 327-343. doi: 10.1175/JHM580.1
![]() |
[16] |
Cane MA (2005) The evolution of el niño, past and future. Earth Planet Sc Lett 230: 227-240. doi: 10.1016/j.epsl.2004.12.003
![]() |
[17] | Wolde-Georgis T (1997) El nino and drought early warning in ethiopia. Int J Afr Stud 2. |
[18] |
Trenberth K E (1997) The definition of el nino. B Am Meteorol Soc 78: 2771-2778. doi: 10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2
![]() |
[19] |
Zaroug MAH, Eltahir EAB, Giorgi F (2014) Droughts and floods over the upper catchment of the Blue Nile and their connections to the timing of El Niño and La Niña events. Hydrol Earth Syst Sci 18: 1239-1249. doi: 10.5194/hess-18-1239-2014
![]() |
[20] |
Zebiak SE, Cane MA (1987) A model el nino-southern oscillation. Mon Weather Rev 115: 2262-2278. doi: 10.1175/1520-0493(1987)115<2262:AMENO>2.0.CO;2
![]() |
[21] |
Abtew W, Melesse AM, Dessalegne T (2009) El niño southern oscillation link to the blue nile river basin hydrology. Hydrol Process 23: 3653-3660. doi: 10.1002/hyp.7419
![]() |
[22] | Charney JG, Drazin PG (1990) Propagation of planetary-scale disturbances from the lower into the upper atmosphere. The Atmosphere—A Challenge. American Meteorological Society, Boston, MA, 1990: 295-321. |
[23] |
Conway D (1997) A water balance model of the upper blue nile in ethiopia. Hydrolog Sci J 42:2 65-286. doi: 10.1080/02626669709492024
![]() |
[24] | Steenhuis TS, Collick AS, Easton ZM, et al. (2009) Predicting discharge and sediment for the abay (blue nile) with a simple model. Hydrol Process 23: 3728-3737. |
[25] |
Conway D (2000) The climate and hydrology of the upper blue nile river. Geogr J 166: 49-62. doi: 10.1111/j.1475-4959.2000.tb00006.x
![]() |
[26] |
Tesemma ZK, Mohamed YA, Steenhuis TS (2010) Trends in rainfall and runoff in the blue nile basin: 1964-2003. Hydrol Process 24: 3747-3758. doi: 10.1002/hyp.7893
![]() |
[27] |
Habtegebreal AK, Alemu AB (2019) Identification of rainfall intensity by using bahir dar c-band weather radar products. Int J Comput Sci Appl Math 5: 35-40. doi: 10.12962/j24775401.v5i2.4935
![]() |
[28] |
Ayehu G, Tadesse T, Gessesse B, et al. (2018) Validation of new satellite rainfall products over the upper blue nile basin, ethiopia. Atmo Meas Tech 11: 1921-1936. doi: 10.5194/amt-11-1921-2018
![]() |
[29] | Hall G (2015) Pearsons correlation coefficient. other words 1. |
[30] | Cohen J, Cohen P (1983) Applied multiple regression/correlation analysis for the behavioral sciences (2td eu.). Hillsdale, N]: Lawrence Erlbaum Associates. |
[31] | Rogerson PA (2001) A statistical method for the detection of geographic clustering. Geogr Anal 33: 215-227. |
[32] | Bayissa YA, Moges SA, Xuan Y, et al. (2015) Spatio-temporal assessment of meteorological drought under the in- fluence of varying record length: The case of upper blue nile basin, ethiopia. Hydrolog Sci J 60: 1927-1942. |
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