Intraseasonal Variability of the Surface Fluxes in Santarém Pedro L. Silva Dias (1) Pedro L. Silva Dias (1) Maria Isabel Vitorino (1) Humberto Rocha (1)

Slides:



Advertisements
Similar presentations
Seasonality of water and heat fluxes over a tropical forest in eastern Amazonia. Humberto R. da Rocha*, Leandro D.V.O. Pinto, Helber C. Freitas, Adelaine.
Advertisements

Observation and numerical simulation of the river breeze circulation in the vicinity of the Tapajós and Amazon rivers Maria A. F. Silva Dias (1) Marcos.
6 th International Workshop on Tropical Cyclones Topic 4.1: Variability of Tropical Cyclone Activity/Intensity on Intraseasonal and Interannual Scales.
External Influences on Cyclone Formation Working Group 2.1 W. M. Frank, G. J. Holland, P. Klotzbach, J. L. McBride, P. E. Roundy Contributions: J. Molinari.
Interactions between the Madden- Julian Oscillation and the North Atlantic Oscillation Hai Lin, Gilbert Brunet Meteorological Research Division, Environment.
16 December 2008 CAVIAR Annual Meeting Claudine Chen and John E Harries Claudine Chen and John E Harries Space and Atmospheric Physics group, Blackett.
The European flooding of summer 2002 and its global connections Mike Blackburn, Brian Hoskins, Pete Inness, Julia Slingo Centre for Global Atmospheric.
Recent European flooding events: atmospheric teleconnections and mechanisms Mike Blackburn (1), Brian Hoskins (2) and Yimin Liu (2) (1) Centre for Global.
1 NCAS SMA presentation 14/15 September 2004 The August 2002 European floods: atmospheric teleconnections and mechanisms Mike Blackburn (1), Brian Hoskins.
Impacts of systematic model biases on intraseasonal variability of the Asian summer monsoon and the intraseasonal-interannual relationship A. G. Turner.
The effect of doubled CO 2 and model basic state biases on the monsoon- ENSO system Andrew Turner, Pete Inness, Julia Slingo Walker Institute / NCAS-Climate.
The effect of doubled CO 2 and model basic state biases on the monsoon- ENSO system: the mean response and interannual variability Andrew Turner, Pete.
Challenge and directions for improving GCM simulations of the monsoon Julia Slingo and Andrew Turner.
Mihir Kumar Dash*, Dhrubajyoti Samanta* and P. C. Pandey** * Indian Institute of Technology, Kharagpur * Indian Institute of Technology, Bhubaneswar.
Seasonal variation of the errors in an objective analysis over Vietnam area Miki Hattori 1, Qoosaku Moteki 1, Jun Matsumoto 1, 2, Hironari Kanamori 2 and.
Seasonal Evolution of the Surface Radiation Balance in the City of São Paulo Amauri Pereira de Oliveira Jacyra Soares Grupo de Micrometeorologia Departamento.
SIMULATION OF THE MONSOON SEASON IN SOUTH AMERICA DURING EXTREME PHASES OF ENSO: AND Intraseasonal variations Sensitivity experiments.
Water and carbon fluxes in forested and crop areas in Brazil Humberto Rocha Chicago, Illinois/US, Jun 2012.
Seasonal dynamics of soil, litter, and ecosystem respiratory carbon dioxide fluxes as indicated by stable isotope analyses Jean Ometto, Luiz Martinelli,
MJO Metrics Combined EOFs using day filtered OLR, u850, and u200 averaged between 15°N-15°S Prior to computing EOFs, each equatorially-averaged.
Sandra Isay Saad Humberto da Rocha IAG / Department of Atmospheric Sciences International Scientific Conference Amazon in Perspective Integrated Science.
TEMPORAL AND SPATIAL VARIABILITY IN RADON-222 FLUXES AND INVENTORIES IN THE FLONA TAPAJOS, PARA, BRASIL.
Part II: Observed Multi-Time Scale Variability in the Tropical Atlantic Part I: Biases in the NCEP CFS in the Tropical Atlantic Diagnosing CGCM bias and.
The local response to the NAO in a RegCM 30-year run Roxana Bojariu and Liliana Velea National Institute of Meteorology Bucharest, Romania
Can Amazon rainfall influence Winter Weather over Europe and North America and North Atlantic Oscillation? Rong Fu Robert Dickinson, Mingxuan Chen, Hui.
Scaling Laws, Scale Invariance, and Climate Prediction
Potential Predictability and Extended Range Prediction of Monsoon ISO’s Prince K. Xavier Centre for Atmospheric and Oceanic Sciences Indian Institute of.
Teleconnection of Tropical Pacific and Indian Ocean Oscillation with Monsoon Rainfall Variability over Nepal 8/8/20141 Lochan P. Devkota & Ujjwal Tiwari.
ALTERNATING TENDENCY IN THE INTENSITY OF THE MADDEN-JULIAN OSCILLATION Kyong-Hwan Seo +, Jae E. Schemm + and Charles Jones* + Climate Prediction Center,
Mechanisms of poleward propagating, intraseasonal convective anomalies in a cloud-system resolving model William Boos & Zhiming Kuang Dept. of Earth &
1 THE MADDEN-JULIAN OSCILLATION AND CALIFORNIA RAINFALL Charles Jones University of California Santa Barbara.
Forecasting the MJO with the CFS: Factors affecting forecast skill of the MJO over the Maritime Continent Augustin Vintzileos CPC/NCEP – CICS/ESSIC, University.
SIO 210: ENSO conclusion Dec. 2, 2004 Interannual variability (end of this lecture + next) –Tropical Pacific: El Nino/Southern Oscillation –Southern Ocean.
Wind Regimes of Southern California winter S. Conil 1,2, A. Hall 1 and M. Ghil 1,2 1 Department of Atmospheric and Oceanic Sciences, UCLA, Los Angeles,
THE INDIAN OCEAN DIPOLE AND THE SOUTH AMERICAN MONSOON SYSTEM Anita Drumond and Tércio Ambrizzi University of São Paulo São Paulo, 2007
The NEWS Atmospheric Diabatic Heating Profile Product  A ten year dataset of clouds, rainfall, and atmospheric heating between 40°N and 40°S has been.
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP April 16, 2007.
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP February 6, 2006.
1 Hadley Centre The Atlantic Multidecadal Oscillation: A signature of persistent natural thermohaline circulation cycles in observed climate Jeff Knight,
Sara Vieira Committee members: Dr. Peter Webster
Squall Lines moving over Santarem Julia Cohen Federal University of Para, Brazil David Fitzjarrald Atmospheric Sciences Research Center/ University at.
11 Predictability of Monsoons in CFS V. Krishnamurthy Center for Ocean-Land-Atmosphere Studies Institute of Global Environment and Society Calverton, MD.
THE SACZ PERSISTENCE, FORM INTENSITY, INTRASEASONAL TO INTERANNUAL VARIATIONS AND IMPACTS ON EXTREME PRECIPITATION EVENTS Leila M. V. Carvalho1,2 1IAG,
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP July 17, 2006.
Inter-El Niño variability and its impact on the LLJ East of the Andes during Austral Summer Tércio Ambrizzi and Gyrlene A. M. da Silva Department of Atmospheric.
Interactions between the Madden- Julian Oscillation and the North Atlantic Oscillation Hai Lin Meteorological Research Division, Environment Canada Acknowledgements:
A Stochastic Model of the Madden-Julian Oscillation Charles Jones University of California Santa Barbara 1 Collaboration : Leila Carvalho (USP), A. Matthews.
Variations in the Activity of the Madden-Julian Oscillation:
Wind Stress Data Products for Model Comparison 2012 ECCO Meeting California Institute of Technology David Moroni 10/31/12.
SOUTH AMERICAN CLIMATE DYNAMICS - A GENERAL VIEW Tércio Ambrizzi Department of Atmospheric Sciences University of São Paulo 1 ST IBERO-AMERICAN WORKSHOP.
The Dynamics of Western Hemisphere Circulation Evolution in the MJO Naoko Sakaeda and Paul Roundy Dept. Atmospheric and Environmental Sciences.
1 Opposite phases of the Antarctic Oscillation and Relationships with Intraseasonal to Interannual Activity in the Tropics during the Austral Summer (submitted.
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP March 12, 2007.
Large-scale transient variations of tropical deep convection forced with zonally symmetric SSTs Zhiming Kuang Dept. Earth and Planetary Sciences and School.
The MJO and Arctic Air Temperatures Gabriel A. Vecchi and Nicholas A. Bond JISAO, University of Washington and NOAA/Pacific Marine Environmental Laboratory.
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP April 3, 2006.
Madden/Julian Oscillation: Recent Evolution, Current Status and Forecasts Update prepared by Climate Prediction Center / NCEP April 5, 2005.
1 Spatio-temporal Distribution of Latent Heating in the Southeast Asian Monsoon Region School of Earth and Atmospheric Sciences Georgia Institute of Technology.
Clouds, Rain Processes and Biosphere Interaction in LBA Maria A. F. Silva Dias Department of Atmospheric Sciences University of São Paulo Brazil.
Changes in the South American Monsoon and potential regional impacts L. Carvalho, C. Jones, B. Bookhagan, D. Lopez-Carr UCSB, USA A.Posadas, R. Quiroz.
© Crown copyright Met Office Predictability and systematic error growth in Met Office MJO predictions Ann Shelly, Nick Savage & Sean Milton, UK Met Office.
The impact of tropical convection and interference on the extratropical circulation Steven Feldstein and Michael Goss The Pennsylvania State University.
Tropical Axisymmetric Mode of Variability: the Dynamics motivation of the study –Attempt to specify and understand a principal mode in the global circulation.
MJO Initiation Katherine H. Straub, Associate Professor of Earth and Environmental Sciences Susquehanna University, Selinsgrove, PA INTRODUCTION Since.
Decadal Variability in the Southern Hemisphere Xiaojun Yuan 1 and Emmi Yonekura 2 1 Lamont-Doherty Earth Observatory Columbia University 2 Department Environment.
SO442 – the Madden-Julian Oscillation
Beijing Climate Center, China Meteorological Administration
Interactions between the Boreal Summer Intraseasonal Oscillation and Higher-Frequency Tropical Wave Activity Straub, K. H., and G. N. Kiladis, 2003: Interactions.
Lucie Pokorná1,2, Romana Beranová 2, Radan Huth1,2,3
Presentation transcript:

Intraseasonal Variability of the Surface Fluxes in Santarém Pedro L. Silva Dias (1) Pedro L. Silva Dias (1) Maria Isabel Vitorino (1) Humberto Rocha (1) Michael Goulden (2) Scott Miller (2) (1) Institute of Astronomy and Geophysics University of São Paulo São Paulo SP – Brazil (2) University of California Dept. of Earth System Science Irvine CA - USA

The main objective in this report is to: (a) identify the intraseasonal signal in the atmosphere in the Santarém (western region the Pará state in Brazil) and (b) explore the possible impact of the intraseasonal variability in the CO 2 fluxes measured by the eddy correlation tower at the FLONA reserve.Introduction Observational studies on the tropical intraseasonal variability (Madden e Julian, 1971,1972; Weickmann et al., 1985; Kayano e Kousky, 1994; Vitorino, 2003) have indicated a significant signal in the precipitation, wind and moisture fields.

Data and Methodology The following meteorological data were used in this report: (a) mean daily values of the zonal and meridional component of the wind obtained from the NCEP reanalysis at 925 hPa; (b) Outgoing long wave radiation at the top of the atmosphere, obtained from satellite measurements (a proxy of precipitation); (c) CO 2 fluxes at 30 min intervals at the top of the 64 m tower located at km 83 of the Cuiabá –Santarém highway and (d) precipitation at the same tower location. The flux tower data covers the period June to December and have been described by (Rocha et al., 2003). The high frequency tower data was averaged in order to obtain mean daily values.

Marton, 2000 Intrasazonal Oscillation Wind at 200 hPa and Outgoing Long Wave Radiation Anomaly (related to precipitation) 28 days

SA Prevailing modes at 15S – 25S OLR Anomaly 45 days 40 days

Satellite + raingage precipitation estimate 10N – 10S Mean S. Hemisphere WinterS. Hemisphere Summer

The wavelet analysis (WA) described by Daubechies (1992) is used in order to identify the spectra, in view of the possible lack of stationarity of the signal Wavelet transform of the wind field at 850 hPa Morlet Function:

Alta da Bolívia

WETAMC 1999 Vitorino & P. Silva Dias 2004

WETAMC 1999 Vitorino & P. Silva Dias 2004

Dry to Wet 2002 Vitorino & P. Silva Dias 2004

Dry to Wet 2002 Vitorino & P. Silva Dias 2004

WETAMC 1999 Dry to Wet 2002 Vitorino & P. Silva Dias 2004

WETAMC 1999 D2W 2002 Vitorino & P. Silva Dias 2004

Original Time Series of CO2 Real part of the Wavelet spectra Santarém - PA

Wavelet Spectra NCEP Reanalysis and OLR Santarém

Wavelet Spectra CO2 Flux Santarém

Wavelet Spectra CO2 Flux Santarém

Santarém - PA Real part of the Wavelet spectra Original Time Series of Zonal Wind at 925 hPa

Santarém - PA Original Time Series of OLR Real part of the Wavelet spectra

Conclusion Conclusion The atmospheric signal of the intraseasonal variability in the Santarém region is significant during some selected periods of the time series (specify which periods are more relevant). The analysis indicates that the intensity of the trade winds, as measured by the zonal component of the wind at the 925 hPa level is particularly modulated in the intraseasonal band (much more evident than in the meridional component of the wind). Outgoing long wave radiation and therefore precipitation also indicate the intraseasonal modulation, in coherence with the wind field. (Is there any preferred period of the year in which the intraseasonal signal is more evident? - specify similarities between 2000, 2001, 2002 and 2003 and the differences…).The atmospheric signal of the intraseasonal variability in the Santarém region is significant during some selected periods of the time series (specify which periods are more relevant). The analysis indicates that the intensity of the trade winds, as measured by the zonal component of the wind at the 925 hPa level is particularly modulated in the intraseasonal band (much more evident than in the meridional component of the wind). Outgoing long wave radiation and therefore precipitation also indicate the intraseasonal modulation, in coherence with the wind field. (Is there any preferred period of the year in which the intraseasonal signal is more evident? - specify similarities between 2000, 2001, 2002 and 2003 and the differences…). The CO 2 fluxes do not indicate a very strong intraseasonal modulation although a small signal is in the analysis throughout the period. Of particular interest is the period from October 2002 to Abril 2003 when the modulation exerted by the atmospheric intraseasonal variability was particularly strong in the Co2 fluxes..The CO 2 fluxes do not indicate a very strong intraseasonal modulation although a small signal is in the analysis throughout the period. Of particular interest is the period from October 2002 to Abril 2003 when the modulation exerted by the atmospheric intraseasonal variability was particularly strong in the Co2 fluxes..