LBA-MIP: Motivation and Overview

Slides:

Advertisements

Similar presentations

Calibration of IBIS against data from four primary forest sites in Amazonia Marcos Heil Costa, Hewlley M. A. Imbuzeiro, Gleidson C. B. Baleeiro, Humberto.

Advertisements

Carbon loss on the other side of drought: excess wet season precipitation during La Niña suppresses Amazon forest photosynthesis Natalia Restrepo-Coupe,

Regional trends in the land carbon cycle and the underlying mechanisms over the period, S. Sitch, P. Friedlingstein, G. Bonan, P. Canadell, P.

J. Ogée – N. Viovy – P. Friedlingstein – P. Ciais G. Krinner – N. deNoblet J. Polcher (IPSL) Evaluation of the global biospheric model ORCHIDEE against.

Modeling Environmental Controls on Net Ecosystem CO 2 Exchange of a Tropical Bog Symon Mezbahuddin 1, Robert Grant 1 and Takashi Hirano 2 1 Department.

DGVM runs for Trendy/RECCAP S. Sitch, P. Friedlingstein, A. Ahlström, A. Arneth, G. Bonan, P. Canadell, F. Chevallier, P. Ciais, C. Huntingford, C. D.,

Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – A Systematic Approach for Evaluating Land-Atmosphere Flux Estimates February 4 th,

Ecology and Soil Moisture: Using an Oak-Grass Savanna as a Model System for Studying the Effects of Soil Moisture Dynamics on Water and Carbon Exchange.

Seasonality & Interannual variability in photosynthetic metabolism of Amazon rainforests: insights from remote sensing Kamel Didan, Scott Saleska, Natalia.

Large-scale Satellite Oceanography in Eastern Pacific Upwelling Regions Andrew Thomas University of Maine Recent manuscript collaborators: Jose Luis Blanco,

LBA-DMIP Description of Participant Models Natalia Restrepo-Coupe (just the mensager), Xubin Zeng, Marcos Costa, Brad Christoffersen,, Michel Muza, Luis.

Controls on evapotranspiration (ET) and its seasonality in select land surface models In Support of The LBA- Model Intercomparison Project (MIP) Brad Christoffersen.

Brasil-flux eddy covariance CO2 flux measurements: Uncertainty analysis, u* threshold and GEP calculation Natalia Restrepo-Coupe, Xubin Zeng, Rafael Rosolem,

Monitoring Effects of Interannual Variation in Climate and Fire Regime on Regional Net Ecosystem Production with Remote Sensing and Modeling D.P. Turner.

An Assessment of the Carbon Balance of Arctic Tundra: Comparisons among Observations, Models, and Atmospheric inversions A. David McGuire and Co-authors.

Water Vapor and Cloud Feedbacks Dennis L. Hartmann in collaboration with Mark Zelinka Department of Atmospheric Sciences University of Washington PCC Summer.

Carbon flux at the scale up field of GLBRC. The Eddy Covariance cluster towers Terenzio Zenone 1 Jiquan Chen 1 Burkhard Wilske 1 and Mike Deal 1 Kevin.

1 Climate change and the cryosphere. 2 Outline Background, climatology & variability Role of snow in the global climate system Contemporary observations.

Objective –Attempt to utilize flux tower records to evaluate the validity of continental flux estimates submitted to the regional interim synthesis activity.

J.-F. Müller, J. Stavrakou, S. Wallens Belgian Institute for Space Aeronomy, Brussels, Belgium IUGG Symposium, July 2007 Interannual variability of biogenic.

Carbon sequestration in China’s ecosystems, Jingyun Fang Department of Ecology Peking University Feb. 14, 2008.

Prabir K. Patra Acknowledgments: S. Maksyutov, K. Gurney and TransCom-3 modellers TransCom Meeting, Paris; June 2005 Sensitivity CO2 sources and.

Modeling CO 2 and its sources and sinks with GEOS-Chem Ray Nassar 1, Dylan B.A. Jones 1, Susan S. Kulawik 2 & Jing M. Chen 1 1 University of Toronto, 2.

Impacts of Climate Change on Physical Systems PPT

Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.

The importance of clouds. The Global Climate System

Modeling framework for estimation of regional CO2 fluxes using concentration measurements from a ring of towers Modeling framework for estimation of regional.

The observed responses of ecosystem CO2 exchange to climate variation from diurnal to annual time scale in the northern America. C. Yi, K.J. Davis, The.

Physical Hydrology & Hydroclimatology (Multiscale Hydrology)

Interannual variability across sites: Bridging the gap between flux towers and flasks Goals Obtain a mechanistic understanding of tower-scale interannual.

Phenological responses of NEE in the subboreal Controls on IAV by autumn zero- crossing and soil thermal profile Dr. Desai.

Optimising ORCHIDEE simulations at tropical sites Hans Verbeeck LSM/FLUXNET meeting June 2008, Edinburgh LSCE, Laboratoire des Sciences du Climat et de.

Modeling climate change impacts on forest productivity with PnET-CN Emily Peters, Kirk Wythers, Peter Reich NE Landscape Plan Update May 17, 2012.

Paul R. Moorcroft David Medvigy, Stephen Wofsy, J. William Munger, M. Dietze Harvard University Developing a predictive science of the biosphere.

The seasonal and interannual variability in atmospheric CO 2 is simulated using best available estimates of surface carbon fluxes and the MATCH atmospheric.

SAHRA – NSF Center for Sustainability of semi-Arid Hydrology and Riparian Areas Intro Page Modeling Amazonian Carbon Release with Calibrated Soil-Vegetation-Atmosphere.

Simulating Two-way Interactive Vegetation-Biophysical Processes and Atmospheric-Mesoscale Circulations During 2001 Santarem Field Campaign Using SiB-RAMS.

Centro de Previsão de Tempo e Estudos Climáticos (CPTEC/INPE) São Paulo, Brazil ( Integrated observed and modeled atmospheric water budget.

An Assessment of the Carbon Balance of Arctic Tundra in North America: Comparisons among Observations, Models, and Atmospheric inversions A. David McGuire.

Annual Meeting Nov 2008 Accra, Ghana LAMTO, Ivory Coast (6°13'N / 5°01'W) Monitoring Atmospheric CO 2 and CH 4 concentrations in Western Africa M.Ramonet,

LBA ECO Synthesis Activities Summary of Current Activities Michael Keller NASA LBA-ECO Project Scientist.

Andes-Amazon Project: Hydrology Model-Data Intercomparison Brad Christoffersen Nov. 08, 2010 Moore Foundation.

Simulated Interactions of Soil Moisture, Drought Stress, and Regional Climate in the Amazon Basin Scott Denning 1, Jun Liu 1, Ian Baker 1, Maria Assun.

Using FLUXNET data to evaluate land surface models Ray Leuning and Gab Abramowitz 4 – 6 June 2008.

Some challenges of model-data- integration a collection of issues and ideas based on model evaluation excercises Martin Jung, Miguel Mahecha, Markus Reichstein,

The PILPS-C1 experiment Results of the first phase of the project Complementary simulation to be done Proposition for the future.

Carbon and water cycling along the western Sierra gradient Anne Kelly SSCZO annual meeting August 21, 2012.

Presented by Global Coupled Climate and Carbon Cycle Modeling Forrest M. Hoffman Computational Earth Sciences Group Computer Science and Mathematics Division.

Arctic Biosphere-Atmosphere Coupling across multiple Scales (ABACUS) Why is this SO important for understanding global change?

Changes in carbon cycling by Brazilian rain forest: effects of soil moisture reduction on soil, leaves and canopy Patrick Meir, AC Lola da Costa, S Almeida.

A Modeling and Synthesis Thematic Data Center for the North American Carbon Program Robert B. Cook 1, Yaxing Wei 1, W. Mac Post 1, Peter E. Thornton 1,

(a) (b) Fig. S1 Monthly rainfall (mm mo -1 ) measured at (a) TNF from 2002 to 2004 and (b) CAX from 2001 to 2008 (red line and symbols). The black line.

Mechanistic model for light-controlled phenology - its implication on the seasonality of water and carbon fluxes in the Amazon rainforests Yeonjoo Kim.

Observing and Modeling Requirements for the BARCA Project Scott Denning 1, Marek Uliasz 1, Saulo Freitas 2, Marcos Longo 2, Ian Baker 1, Maria Assunçao.

Xiangming Xiao Institute for the Study of Earth, Oceans and Space University of New Hampshire, USA The third LBA Science Conference, July 27, 2004, Brasilia,

Contribution of LBA to the GHP And CEOP J. A. Marengo CPTEC/INPE. São Paulo, Brazil.

Figure 1. (A) Evapotranspiration (ET) in the equatorial Santarém forest: observed (mean ± SD across years of eddy fluxes, K67 site, blue shaded.

Earth Observation Data and Carbon Cycle Modelling Marko Scholze QUEST, Department of Earth Sciences University of Bristol GAIM/AIMES Task Force Meeting,

Whats new with MODIS NPP and GPP MODIS/VIIRS Science Team Meeting May 20, 2015 Steven W. Running Numerical Terradynamic Simulation Group College of Forestry.

Scott Saleska (U. of Arizona) Lucy Hutyra, Elizabeth Hammond-Pyle, Dan Curran, Bill Munger, Greg Santoni, Steve Wofsy (Harvard University) Kadson Oliveira.

CO2 sources and sinks in China as seen from the global atmosphere

Continental Modeling and Analysis of the North American Carbon Cycle

Using tree ring databases to evaluate regional climate drivers of productivity variability in ORCHIDEE-FM model Kun Tan1, Flurin Babst2, Ben Poulter1,

Department of Hydrology and Water Resources

Marcos Heil Costa Universidade Federal de Viçosa

Impact of ENSO and Volcanoes on Tropical Precipitation

Proposition for a future phase of the project:

El Niño-Southern Oscillation

Impact of ENSO and Volcanoes on Tropical Precipitation

by Jin Wu, Loren P. Albert, Aline P

Presentation transcript:

LBA-MIP: Motivation and Overview Ian Baker, Colorado State University Movers and Shakers: Gustavo Concalves, Scott Saleska, Natalia Restrepo, Reto Stockli, Brad Richardson, Ben Poulter, and many others...(Tower PIs: Don’t forget tower PIs!)

Motivation Amazonia: 10% of global biomass Gross Carbon fluxes large: net flux uncertain Interannual variability? Several studies: sink during La Nina, source during El Nino (precipitation)

More Motivation Saleska et al, 2003; Science

Mechanisms: Tapajos km83 Root Water Access Hydraulic Redistribution Deep Soil/Root Access/Respiration Wetness Combination! Baker et al, 2008 , JGR, in press

Location of Sites

Precipitation Distribution Precipitation mean for 3 or 4 years Dry season defined as number of months with precipitation < 100mm 0-1 month dry season at Manaus km34 7-8 month dry season at Pe de Gigante

Models SSiB2c1 SSiB2c2 SSiB2c3 SiB3 BiomeBGC LPJ HYLAND JULES SPASTD SPAMOD SPAPHEN CLM35c CLM35nc SiBCASA ORCHIDEE VISITC1 VISITC2 VISITC3 COLM IBIS 5PM SiB2 CLM3DP CLM300TB NOAHDV NOAHSTD SiB2B LPJ2 LM3V CLM3GW

Results! Preliminary-most models are being re-run netCDF! Units Sign Convention Energy/Water Balance

Site Obs: PDG

Site Obs: K83

Site Obs: K77

Site Obs: K34

Things to Emphasize Observation/Model Synthesis Seasonal Stress? Soil/Rooting depth Equifinality of Mechanisms?

Mechanism Equifinality (km83)

What Would We Like to Accomplish? Start: Annual cycle Next: IAV (don’t forget diurnal cycle!) Behavior Across Vegetation/Moisture Gradients Amazonia/Continental scale biophysics NEE Mechanism Dependence (ENSO)