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Departamento de Ciencias de la Atmósfera y los Océanos Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires DCAO The Department of Atmosphere and Oceans Sciences: Structure and main research activities Celeste Saulo - Director UMI-IFAECI Kick Off Meeting November 4 and 5, Buenos Aires, Argentina

The Department of Atmosphere and Oceans Sciences: Structure and main research activities

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The Department of Atmosphere and Oceans Sciences: Structure and main research activities. Celeste Saulo - Director. UMI-IFAECI Kick Off Meeting November 4 and 5, Buenos Aires, Argentina. History. - PowerPoint PPT Presentation

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Page 1: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Departamento de Ciencias de la Atmósfera y los OcéanosFacultad de Ciencias Exactas y Naturales

Universidad de Buenos Aires

DCAOThe Department of Atmosphere and Oceans Sciences:

Structure and main research activities

Celeste Saulo - Director

UMI-IFAECI Kick Off MeetingNovember 4 and 5, Buenos Aires, Argentina

Page 2: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

History The DCAO has been created in 1958, within the Faculty of

Exact and Natural Sciences, University of Buenos Aires. Graduate level in Atmospheric Sciences since 1953 Graduate level in Oceanography since 1993

Staff 17 Full-time professors (*) 11 Part-time professors (*) 11 Full-time professor assistants (*) 17 Part-time professor assistants(*) many are also CONICET research staff,

and work either at CIMA, DCAO or SHN

Page 3: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Education: Degree and postgraduate levels

Licencee in Atmospheric Sciences (6 years) Licencee in Oceanography (6 years) Bachelor in Atmospheric Sciences (3,5 years - with 4

orientations) PhD in Atmospheric Sciences PhD in Oceanography

Egresados 1955 - 2009Lic. en Meteorologia - Cs. Atmósfera y Oceanografía

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55-59 60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 00-04 05-09

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Atmospheric Sc. Oceanograph

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Page 4: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

General research areas Weather Analysis and forecasting Diagnostic and modeling studies of atmospheric and oceanic (*)

climate variability Climate change and its impacts Environmental Meteorology and Oceanography Land-sea-air-criosphere interactions Remote sensing applied to the oceans and the atmosphere Study and modeling of the oceans and seas (*)

Scientific production, according to number of publications in journals

Page 5: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAODiagnostic and modeling studies of atmospheric and oceanic climate variability and

climate change

Paleo and neo climate change over South- American from subtropical to high latitudes Study of Droughts and Floods in southeastern South America Precipitation and temperature climatology (constructed from long-term observational

data) applied to: Long term fluctuations (interannual and decadal variability) and their relation with SST and

low frequency forcings Temperature Extremes Precipitation Extremes Heat/cold waves Validation of current climate derived from RCM and GCMs Crop yields

Potential impacts of climate change Regional climate modeling (*) Characterization of The Rio de la Plata estuary climate and variability (*) Characterization of the Western South Atlantic climate and variability

Page 6: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Paleo and neo climate change over South- American from subtropical to high latitudes

GENERAL OBJECTIVE: to understand the forcing involved in

climatic changes and to investigate climate and its variability for the instrumental and pre instrumental periods, over the southern cone of South America, and teleconnections with others regions

The analysis of instrumental and proxy dataThe output of re-analysis models of atmospheric circulation and climatic and paleoclimatic models Experiments and simulations using paleoclimate GCMs and energy balance modelsSolar system 3D modelsTime series and climatic variable fields analyzed by statistic methodologies in time series analysis and multivariate methods

METHODOLOGY:

LOTRED-SA “Coordinating Committee” : Long-Term climate REconstruction and Dynamics of (southern) South America: A collaborative, high-resolution multi-proxy approach (within IGBP-PAGES)

Rosa Compagnucci and collaborators

Page 7: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Study of Droughts and Floods in southeastern South America

Applied Climatology Group, Vargas and collaborators

Page 8: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

PC 1 for the maximum (a) and minimum (b) temperatures for the reference stations.

Average fields of maximum winter (JJA) temperature anomalies with amplitude greater than the upper tercile for MJO phases.

Detection of intraseasonal signal for maximum and minimum temperature

Relationship between surface air temperature and MJO

Applied Climatology Group, Vargas and collaborators

Page 9: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Precipitation and temperature climatology and its relationship with crop yields in main producer regions around the world.

Applied Climatology Group, Vargas and collaborators

Page 10: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Blocking events at 70ºW and its relationship with precipitation and temperature anomalies

Winter Spring

T anomalies

Relationship with precipitation (r>1= above normal precip)

Page 11: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Antarctica plays an important role in the global climate, especially in the heat and water balance. Some links with the austral Southern South America’s temperatures are analyzed taking into account spatial homogeneity of the records in different seasons

Monthly temperature series of Southern South America and Antarctic Peninsula analyzed

When summer, autumn and winter series were analyzed, the Antarctic stations and the South America stations (specially the stations at the Atlantic coast) were cleared separated as a first step.

On the other hand, when spring series were analyzed, the South American stations along the Atlantic coast remained in the same group with the Antarctic ones. When a third grouping was allowed in the analysis, the same situation was observed

Region Station WMO Cod Latitude LongitudePunta Arenas 85934 -53 -70,85

South Com. Rivadavia 87860 -45,78 -67,5America Trelew 87828 -43,2 -65,27Stations Bahia Blanca 87750 -38,7 -62,2

Faraday 89063 -65,25 -64,27Antartic Bellinghausen 89050 -62,2 -58,93Stations Esperanza 88963 -63,4 -56,98

Orcadas 88968 -60,75 -44,72

Cluster analysis results

Local wavelet power spectrum for (a) Esperanza (b) Trelex Contour levels are chosen so that wavelet power is above the 25th percentile (blue), 50th p (green), 75th pe (light green), and 95th p (red). Black contour is the 10% significance level, using a white-noise background spectrum. The cross-hatched region indicates the ‘‘cone of influence’’,

Temporal variability analysis

Temporal characteristics of the mentioned series and SAM index were analyzed too, considering different variability modes ( wavelets analysis)

a

b

• The cluster analysis shows a possibly strong influence of a spring circulation pattern that links Antarctica and eastern Southern South America

• Different variability modes were analyzed with wavelets. The results are congruent with previous work that analyzed temperature indices of Southern South America and found significant relationship with SAM index, with a common 8-year signal in spring

• Some changes can be observed in the frequency behaviour during the 1990s that must be analyzed

Page 12: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Changes in Climate at High Southern Latitudes: A Unique Daily Record at Orcadas Spanning 1903-2008

Fig. Mean annual cycle of temperatures at Orcadas over 20-yr intervals beginning in 1903. A 10-day smoothing has been applied.

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E ne F eb Mar Abr May J un J ul Ago S ep Oc t Nov Dic

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1963-1982

1983-2002

Fig. Distribution of frequencies of observations of daily temperatures during the summer season (Dec-Jan-Feb) for each 20 year period since 1903. One degree bins have been used as shown.

Summer season Shape of the distribution is

nearly constant Mean temperatures have

systematically shifted in recent decades

The length of the season over which atmospheric temperatures exceed 0°C

has substantially increased. Variability is greater relative to the

trends in colder seasons, but the period since 1982 appears to be warmest throughout nearly the entire year,

including the late fall and winter season of April-August

Matilde Rusticucci and collaborators

Page 13: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Comparison of observed daily extreme temperature events in Southeastern South America and RCM

simulations

Maximum TemperaturePercentile 95th

January

Minimum TemperaturePercentile 5th

July

Differences

RCM-OBS

Differences

RCM-OBSPeriod 1992-2000

Matilde Rusticucci and collaborators

Page 14: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

TEMPORAL VARIABILITY

Monthly accumulated extreme rainfall greater than

75th daily percentile .

November. Tucumán. 65º W - 26º 50' S

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December. Tucumán. 65º W - 26º 50' S

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Tucumán November

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Salta

Annual Amount of Dry days Index

DRY CONDITION

WET CONDITION

Penalba and collaborators

Page 15: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Covariability between daily intensity of extreme rainfall (DIER) and Sea Surface Temperature

Second mode 17% (Singular Value Descomposition)

DIER correlation of the second mode

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SVD 2 17%

0.35 to 1 0.26 to 0.35 0.2 to 0.26 0.01 to 0.2 -0.01 to 0.01 -0.2 to -0.01 -0.26 to -0.2 -0.35 to -0.26 -1 to -0.35

Austral Spring SON

Penalba and collaborators

Page 16: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Weather Type Classification

W T1 W T2 W T3 W T4

W T5 W T6 W T7

15.4% 16.4% 13.9% 10.9%

15.9% 11.3% 16.2%

1000 hPa Z anomalies

WT1, WT2 and WT4 have the highest contribution (significant) to dry days in the core region

Penalba and collaborators

Page 17: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

ResultsOcean circulation over the Zapiola Rise (45W,45S) shows large interannual variability (Saraceno et al, DSR 2009)

Work in progressContribution of mesoscale eddies to the Meridional Overturning Circulation in the Brazil-Malvinas Confluence regionFigure 1: Colors indicate the bathymetry in the Argentinean Basin between 4500m and 6000m depth. Thin black lines indicate

f/H isocontours (units –1x10-8 m-1s-1). The closed contours range from –2.1 x10-8m-1s-1 to –1.92x10-8m-1s-1. The mean positions [Saraceno et al., 2004] of the Subtropical Front (STF) and the Subantarctic Front (SAF) are indicated by solid black and solid red lines, respectively. The positions of these two fronts correspond, also respectively, to the southern limit of the South Atlantic Current and to the northern limit of the Antarctic Circumpolar Current. Vector speeds estimated from the trajectories of profilers pf3900111 (red arrows) and pf3900110 (black arrows) are indicated. The profiler starting points are indicated by solid dots. The vector scale (bottom-left corner) is common to both profilers.

Meso and large scale circulation in the SWA Ocean

Saraceno and collaborators

Page 18: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Climate Change impacts To evaluate some aspects of the vulnerability that

climate change causes in a rural system (Iberá wetlands) and in a human system (Metropolitan area of Buenos Aires city) analyzing the atmospheric physical processes involved and preparing future climate scenarios based on the information provided by the global climate models (GCMs) which best represent regional climate.

To analyze interaction processes between social and climate dynamics in semi-wet and arid regions in Chaco Plains

So study the relationship between observed climate change (according to precipitation changes) and social vulnerability, adaptation of population, socio-economic structure in different time and spatial scales.

Page 19: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

The hydrologic regime of the Iberá wetlands and the potential impacts of Climate ChangeThe Variable Infiltration Capacity (VIC) hydrology model is used to simulate the streamflow annual cycle of the Corriente River at the outlet of the Iberá wetlands. Regional temperature and precipitation changes are derived from the ECHAM5/MPI-OM GCM for three different emissions scenarios and time slices during the 21st century.

Monthly mean simulated (dashed lines) and observed (solid lines) streamflows at (a) Los Laureles

for the 1990-1999 decade (m3/s).

Page 20: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Annual changes in temperature (°C) , precipitation (%) and streamflow (%) for the Iberá wetlands relative to 1990-1999 period

Almost all scenarios agree in showing an increment in runoff. Results also indicate that precipitation rather than temperature has the major effect in runoff changes.

temperature

rainfall

streamflow

Page 21: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Temporal variability of the Buenos Aires urban heat island (UHI)This study explores the statistical characteristics and temporal variability of the UHI intensity in Buenos Aires using 32-year surface meteorological data with 1-h time intervals.The interannual variability and the seasonal variation of the UHI for the main synoptic hours are studied for a longer record of 48 years associated to changes in meteorological factors as wind speed and cloud amount.

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Hourly variations of UHI (°C)Mean (squares) and standard deviations

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Hourly frequency distribution of “inverse” (UHI<0°C) and extreme

(UHI>4°C) heat islands

The intensity of the UHI depends on many factors and exhibits large variability with the time of day. It is a predominantly nocturnal phenomeon. Negative values, i.e. “inverse heat islands” can be seen at all hours although they occur much more often during the afternoon.Inés Camilloni and

collaborators

Page 22: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

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Decadal variability of the daily cycle of the UHI

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Temporal variability of the annual mean UHI for the main

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Evolution of the Buenos Aires Metropolitan area population Although Buenos Aires population had

a persistent increase since the beginning of the 20th century, the nocturnal UHI effect has been decreasing since 1960. Both decadal and interannual variability analyses show a reduction of the nocturnal UHI.Cloud cover data show a decline of near clear-sky conditions during nighttime that is accompanied by a negative trend in the calm frequencies. Both changes are physically consistent with the reduction in the UHI intensity.

Inés Camilloni and collaborators

Page 23: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO

Weather analysis and forecasting (*)Applications

Analysis and modelling of dynamical processes associated with extratropical cyclones

Short range weather forecasts: numerical experiments and sensitivity studies using WRF and BRAMS models

Ensemble generation, data assimilation and probabilistic short range forecasts

Wind energy Mesoscale convective systems

Simulation Tracking Associated severe weather Characterization of synoptic environment

Remote sensing techniques

Page 24: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Coastal Cyclones

Sea level pressure

Coastal cyclones affecting the Atlantic coast of the southern South America may produce several damages, particularly some of them that become explosive during a certain phase of the life cycle.

•¿Which is the characteristic 3D thermal vertical structure of these cyclones? ¿How is its temporal evolution?• ¿Does it exist a relation between the cyclone depth of the cyclones and diabatic processes?

Campetella and collaborators

Page 25: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Generation of low level wind fields from an atmospheric model to be used in planning of electricity dispatch

To improve the knowledge of the “wind” resource in Patagonia.

To develop a tool based on the WRF numerical model for representing low-level wind with a confidence level that is acceptable for the Wholesale Power Market Operator.

To estimate amounts of wind energy available for the electricity system based on wind forecasts at each site according to equipment technology and other factors.

To propose a new regulation in order to allow power paying to return the investment.

To evaluate the potential environmental impacts related to wind energy technologies.

Bibiana Cerne and collaborators

Page 26: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Preliminary results

Wind velocity 3 to 5 March 2005 00UTC Wind direcction

Bibiana Cerne and collaborators

Page 27: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO

Environmental meteorology and oceanography

Page 28: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Study of the synoptic patterns that produce severe wind waves in the outer Río de la PlataRío de la Plata estuary is an important waterway for commercial and passenger transport for Argentina and Uruguay. Objective:• to understand the development of severe waves in the mouth of the river which affect navigation.

Page 29: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

23-25/8/2005

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Relationship among: synoptic situation, wind, gusts and maximum wave height in the outer Río de la Plata

Mean sea level pressure and 10m wind for 24 August 2005

Above: wind speed (blue), gusts (green) in km h-1 and significant wave height (pink) in m.Below: direction of wind (blue) and waves (pink). for 23-25 August 2005.

6.8 m

Page 30: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Improvements of satellite altimetry data over the Patagonian Shelf

The main limitation to use satellite altimetry data over the Patagonian shelf is accuracy of tidal models (Saraceno et al, CSR, 2010; Saraceno et al, JGR, 2008)

Work in progressFurther validation of along-track data and implementation of a regional tide model with data assimilation

Fig. 1. Position of the Tide Gauges (magenta dots) and of the crossovers (circles) considered for the comparison between tide models and observed amplitudes and phases. Background: bathymetry (Smith and Sandwell,1997); diagonal lines correspond to the ascending and descending paths of the T/P and J-1 and J-2 missions; the eastern border of the shelf is represented by the 300m isobath( black contour).

RESULTS:

Page 31: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Biometeorology Study of soil – vegetation –

atmosphere interactions at plant and canopy scales.

Study of atmospheric processes involved in the dispersion, transport and deposition of airborne pollen at different scales.

Biometeorology group, Gassmann and collaborators

Page 32: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Research fields

Agricultural Meteorology Aerobiology

Enegy exchange

Cultivated surface – atmosphereMonoculture and Intercropping

Plant - atmosphere

Natural vegetation - atmosphere

Animal- atmosphere

Atmospheric influence on airborne pollen concentration

Long range and local scale airborne pollen transport

Biometeorology group, Gassmann and collaborators

Page 33: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

Air QualityObjectives: Assess the air quality in Buenos Aires

Source of urban air pollution Receptor of regional pollution

Study the contribution of biomass burning to the regional pollution in BA

Analyze the role of the South American Low Level Jet (SALLJ) as transport mechanism

Methodology: Direct and indirect modeling and observations

Ulke and collaborators

Page 34: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

CATT-BRAMS AOT500nm

Composite for 2002 CJ1_BB

Direct modeling

Ulke and collaborators

Page 35: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

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AOT 500 nm monthly means for the whole data and the Chaco Jet 1 sub-sample in 2001- 2005

TotalCJ1

AERONET CEILAP – BA

Ulke and collaborators

Page 36: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

Indirect modeling

Trajectory analysis

HYSPLIT

2001-2005

Winter 2006, surfaceCluster AnalysisUlke and collaborators

Page 37: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

National collaborations Centro de Investigaciones del Mar y la

Atmósfera Servicio Meteorológico Nacional Servicio de Hidrografía Naval Instituto Nacional del Agua (INA) Instituto Nacional de Tecnología Agropecuaria

(INTA) Instituto Argentino de Nivología, Glaciología y

Ciencias Ambientales (IANIGLA) Other Faculties inside UBA and many other

Universities in Argentina

Page 38: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO-FCEN-UBA

International Collaboration IRD, IPSL and LMD, France University of Sao Paulo, Brazil CPTEC, Brazil UNAM, Mexico University of Geneva (UNIGE), Switzerland University of KwaZulu-Natal University of Maryland, USA Oregon State University, USA CIRES-NOAA, USA COAS, USA University of Utah, USA University of Alabama, USA University of Castilla La Mancha, Spain

Page 39: The Department of Atmosphere and Oceans Sciences:  Structure and main research activities

DCAO

Visit us at:www.at.fcen.uba.ar

Thank you very much!