role of caribbean low-level jet and choco jet in the ... · role of caribbean low-level jet and...

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Role of Caribbean low-level jet and Choco jet in the patterns of atmospheric moisture transport towards Central America José S. Morales Paola A. Arias and J. Alejandro Martinez Escuela Ambiental - Facultad de Ingeniería Universidad de Antioquia Medellín - Colombia First International Electronic Conference on the Hydrological Cycle CHyCle 2017 First International Electronic Conference on the Hydrological Cycle 1

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Page 1: Role of Caribbean low-level jet and Choco jet in the ... · Role of Caribbean low-level jet and Choco jet in the patterns of atmospheric moisture transport towards Central America

Role of Caribbean low-level jet and Choco jet in the

patterns of atmospheric moisture transport towards Central

America

José S. MoralesPaola A. Arias and J. Alejandro Martinez

Escuela Ambiental - Facultad de IngenieríaUniversidad de Antioquia

Medellín - Colombia

First International Electronic Conference on the Hydrological CycleCHyCle 2017

First International Electronic Conference on the Hydrological Cycle 1

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Introduction

Regional characteristics such as high rate of evaporation

Development of low-level jets (LLJs)+ topography +

other regional factors

Regional climate

Relevant condition to the main economic activities like

agriculture

Interannual variability

Extreme events

Large economic lossesassociated with

hydrometeorological phenomena

First International Electronic Conference on the Hydrological Cycle 2

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Objectives

General

● To analyze the seasonal patterns of water vapor transport to Central

America and their interannual variability, with special emphasis on

the role of the Caribbean low-level jet (CLLJ) and the Choco jet (CJ).

Specific

● To identify the possible changes observed in the transport patternsfrom these sources in the face of interannual climate variabilityevents, such as ENSO.

First International Electronic Conference on the Hydrological Cycle 3

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What has been done before?

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Dynamic Recycling Model (DRM):

● Semi-Lagrangian 2D Model● Based on the principle of mass conservation● Used to estimate exchange of moisture from

different sources

Assumption:Well-mixed atmosphere

Input Data:

● Evaporation● Precipitable Water● Precipitation● Vertical Integrated of Moisture Flux (VIMF)

Data Set:

ERA-Interim data to 0.75°From 1980 to 2012

Model

Additional data for analyses:Caribbean low-level jet index (ICLLJ), Choco jet index (ICJ) and Oceanic Niño Index (ONI)

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Study AreaFigure 1. Region of

study. Regionsconsidered as possiblemoisture sources toCentral Americadomain. The contoursrepresent thetopography over theregion of study fromERA-Interim data.

First International Electronic Conference on the Hydrological Cycle 6

NATL

TNA

SEUSSWUS

TNP

TSP

GoM

CARB

NAMZ

SAMZ TSA

LPRB

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Precipitable water climatology

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Figure 2. Seasonal patterns contributions of precipitable water (mm) for 1980–2012 (shaded contours)

from CARB (left) and from TNP (right). Vectors represent the VIMF.

There is a marked seasonality in the transport form both CARB and TNP to CAM, related to LLJs

JJA SON

DJF MAM

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

DJF MAM

JJA SON

1 2 3 4 5 6 7 8 10 12 13 14 15 16 18 20

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Precipitable water climatology

Figure 4. Mean annual cycle of vertical shear of

moisture flux over the analyzed subregions (CARB,

CAM, TNP y GoM).

Figure 3. Mean annual cycle of contributions to

precipitable water (W) over the CAM from the main

sources (CARB, CAM, TNP, GoM, NOSA and ORIC).

First International Electronic Conference on the Hydrological Cycle 8

Biases associated to high values of the vertical shear of moisture flux (VSMF) in the transport from CARBto CAM and recycling over CAM.

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Interannual variability associated to CLLJ and the CJ

Figure 5. Correlationbetween the ICLLJ andmoisture transport fromAtlantic (a) and CARB (c) forAugust. Correlation betweenthe ICJ and moisturetransport from Atlantic (b)and TNP (d) for October.

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August October

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Interannual variability associated to ENSO

Figure 6. Composites of

differences in moisture

transport (mm/day) to

CAM during El Niño

and La Niña: from the

Atlantic (top), the

Caribbean (middle) and

the TNP (lower panel).

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The influences of the

ENSO evolution is

evident in the pattern of

moisture transport from

these source regions.

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Figure 7. Composites of anomalies of the contribution to monthly precipitable water (mm) over the

CAM by CARB (left) and TNP (right) during the extreme phases of ENSO. The plus (minus) sign

denotes the positive (negative) phase of ENSO.

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There is more variability during La Niña phase, and this variability islarger for the transport of moisture from the TNP compared to CARB.

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Figure 8. Composites of differencesin VIMF (Vectors) and W (shadedcontours, mm) during El Niño andLa Niña (Left column).Climatology of VIMF and W (mm)for 1980–2012 during August andDecember, including El Niño, LaNiña and neutral years (rightcolumn).

Relationship betweentransport of moisturefrom different sourcesduring ENSO and theVIMF field.

4 8 12 16 20 24 28 32 36 40 44 48 52 56

August (Before) August

December (Peak) December

August (After)

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● The Caribbean Sea is the largest contributor of moisture to Central America

during the year, with an annual variation modulated by the Caribbean low-

level jet dynamics.

● Moisture from sources such as northern South America and Gulf of Mexico is

relevant for the Central America. Given the period in which they develop

their large contribution.

● Despite the biases that present DRM related to the wind shear, DRM is able to

capture the interannual variability associated to both low-level jet and ENSO.

● An anomalously strong (weak) Caribbean low-level jet induce a higher

(lower) transport from Atlantic to Central America.

Conclusions

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● An anomalously strong Choco jet induces a higher (lower) transport from thePacific (Atlantic) to Central America during October.

● The transport of moisture from the Atlantic, Caribbean Sea and TropicalNorth Pacific presents a high response to the annual cycle of evolution of theENSO.

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Thank you for your attention!

[email protected]