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

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

J. Ogée – N. Viovy – P. Friedlingstein – P. Ciais G. Krinner – N. deNoblet J. Polcher (IPSL) Evaluation of the global biospheric model ORCHIDEE against.
Changes in the seasonal activity of temperate and boreal vegetation The critical role of Autumn temperatures. Shilong Piao, Philippe Ciais, Pierre Friedlingstein,
Why gap filling isn’t always easy Andrew Richardson University of New Hampshire Jena Gap Filling Workshop September 2006.
TEMPORAL VARIABILITY AND DRIVERS OF NET ECOSYSTEM PRODUCTION OF A TURKEY OAK (QUERCUS CERRIS L.) FOREST IN ITALY UNDER COPPICE MANAGEMENT Luca Belelli.
Using Flux Observations to Improve Land-Atmosphere Modelling: A One-Dimensional Field Study Robert Pipunic, Jeffrey Walker & Andrew Western The University.
Main features of the Biome-BGC MuSo model Zoltán BARCZA, Dóra HIDY Training Workshop for Ecosystem Modelling studies Budapest, May 2014.
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.
Effects of Forest Thinning on CO 2 Efflux Peter Erb, Trisha Thoms, Jamie Shinn Biogeochemistry 2003: Block 1.
– Winter Ecology. Introduction  Global Climate Change  How microbs may be affected by snowpack depth  Temperature/precipitation trends.
Annual CO 2 Exchange in Irrigated and Rainfed Maize-Based Agroecosystems S.B. Verma, A.E. Suyker, G.G. Burba, T.J. Arkebauer, D.T. Walters, A. Dobermann,
Quantitative information on agriculture and water use Maurits Voogt Chief Competence Center.
1/21 EFFECTS OF CLIMATE CHANGE ON AGRICULTURE: THE SOY-AMEX EXPERIMENT Marcos Heil Costa Aristides Ribeiro DEA/UFV.
SAHRA Phoenix Albuquerque Tucson Sevilleta PILPS San Pedro - Sevilleta Lucky Hills Kendall luis.bastidasusu.edu.
The C budget of Japan: Ecosystem Model (TsuBiMo) Y. YAMAGATA and G. ALEXANDROV Climate Change Research Project, National Institute for Environmental Studies,
A MONASH UNIVERSITY PERSPECTIVE Musa Kilinc and Danielle Martin School of Geography and Environmental Science.
Soil temperature and energy balance. Temperature a measure of the average kinetic energy of the molecules of a substance that physical property which.
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.
03/06/2015 Modelling of regional CO2 balance Tiina Markkanen with Tuula Aalto, Tea Thum, Jouni Susiluoto and Niina Puttonen.
Predicting Nitrogen Fertilizer Response in Douglas-fir Plantations Kim Littke Rob Harrison.
Cross-spectral analysis on Net Ecosystem Exchange: Dominant timescale and correlations among key ecosystem variables over the Ameriflux Harvard forest.
COSMO General Meeting Zurich, 2005 Institute of Meteorology and Water Management Warsaw, Poland- 1 - Verification of the LM at IMGW Katarzyna Starosta,
Raw data Hz HH data submitted for synthesis Flux calculation, raw data filtering Additional filtering for footprint or instrument malfunctioning.
Titel Gap Filling of CO 2 Fluxes of Frequently Cut Grassland Christof Ammann Agroscope ART Federal Research Station, Zürich Gap Filling Comparison Workshop,
Trade-offs between sequestration and bioenergy benefits Nicolas VUICHARD (1,2) Philippe CIAIS (2) Luca BELELLI (3) Riccardo VALENTINI (3) (1)CIRED – Nogent.
Optimising ORCHIDEE simulations at tropical sites Hans Verbeeck LSM/FLUXNET meeting June 2008, Edinburgh LSCE, Laboratoire des Sciences du Climat et de.
Laboratoire des Sciences du Climat et de l'Environnement P. Peylin, C. Bacour, P. Ciais, H. Verbeek, P. Rayner Flux data to highlight model deficiencies.
OThree Chemistry MM5 Model Diagnostic and Sensitivity Analysis Results Central California Ozone Study: Bi-Weekly Presentation 1 T. W. Tesche Dennis McNally.
A process-based, terrestrial biosphere model of ecosystem dynamics (Hybrid v. 3.0) A. D. Friend, A.K. Stevens, R.G. Knox, M.G.R. Cannell. Ecological Modelling.
Nelius Foley, Matteo Sottocornola, Paul Leahy, Valerie Rondeau, Ger Kiely Hydrology, Micrometeorology and Climate Change University College Cork, IrelandEnvironmental.
BIOME-BGC estimates fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems. Model algorithms.
Long term weather and flux data: treatment of discontinuous data. Bart Kruijt, Wilma Jans, Cor Jacobs, Eddy Moors Loobos.
Enhanced Ecosystem Productivity in Cloudy or Aerosol-laden Conditions Xin Xi April 1, 2008.
Seasonal and Inter-Annual Variability in Net Ecosystem CO 2 Exchange at Six Forest Flux Sites in Japan Y. Ohtani* 1, Y. Yasuda* 1, Y. Mizoguchi* 1, T.
Dataset Development within the Surface Processes Group David I. Berry and Elizabeth C. Kent.
Deutscher Wetterdienst Lindenberg Meteorological Observatory – Richard Aßmann Observatory G. Vogel COSMO GM Rome 05 September 2011 Validation results of.
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Conditional verification of all COSMO countries: first.
Latest results in verification over Poland Katarzyna Starosta, Joanna Linkowska Institute of Meteorology and Water Management, Warsaw 9th COSMO General.
Validation (WP 4) Eddy Moors, Herbert ter Maat, Cor Jacobs.
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.
Soil moisture content at SIRTA ( m 3 /m 3 ) at different depths. SIRTA’s data has been transformed to have the same amplitude as ORCHIDEE’s simulation.
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,
Ecosystem component Activity 1.6 Grasslands and wetlands Jean-François Soussana Katja Klumpp, Nicolas Vuichard INRA, Clermont-Ferrand, France CarboEurope,
Application of the ORCHIDEE global vegetation model to evaluate biomass and soil carbon stocks of Qinghai-Tibetan grasslands Tan Kun.
Ecosystem component Activity 1.6 Grasslands and wetlands Jean-François Soussana Katja Klumpp, Nicolas Vuichard INRA, Clermont-Ferrand, France CarboEurope,
Progress ELDAS “Point” Validation (ELDAS Progress Meeting, December 2003, Madrid) Cor Jacobs, Herbert Ter Maat, Eddy Moors.
Variations in Continental Terrestrial Primary Production, Evapotranspiration and Disturbance Faith Ann Heinsch, Maosheng Zhao, Qiaozhen Mu, David Mildrexler,
Estimates of Carbon Transfer coefficients Using Probabilistic Inversion for Three Forest Ecosystems in East China Li Zhang 1, Yiqi Luo 2, Guirui Yu 1,
The PILPS-C1 experiment update Reminder on the project: Comparison of both « biophysical » and « biogeochemical » flux from Different types of models with.
Landscape-level (Eddy Covariance) Measurement of CO 2 and Other Fluxes Measuring Components of Solar Radiation Close-up of Eddy Covariance Flux Sensors.
Biases in land surface models Yingping Wang CSIRO Marine and Atmospheric Research.
Pre-workshop exercise on SOC stock simulation / calibration of DNDC Steven Sleutel Dept. Soil Management & Soil Care Ghent University.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
Model-Data Synthesis of CO 2 Fluxes at Niwot Ridge, Colorado Bill Sacks, Dave Schimel NCAR Climate & Global Dynamics Division Russ Monson CU Boulder Rob.
Using AmeriFlux Observations in the NACP Site-level Interim Synthesis Kevin Schaefer NACP Site Synthesis Team Flux Tower PIs Modeling Teams.
Mechanistic model for light-controlled phenology - its implication on the seasonality of water and carbon fluxes in the Amazon rainforests Yeonjoo Kim.
Dr. Monia Santini University of Tuscia and CMCC CMCC Annual Meeting
Evaluation of cloudy convective boundary layer forecast by ARPEGE and IFS Comparisons with observations from Cabauw, Chilbolton, and Palaiseau  Comparisons.
An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.
Role of ECVs in climate-carbon feedback assessment Claire Magand Patricia Cadule, Jean-Louis Dufresne Institut Pierre Simon Laplace CMUG Integration Meeting,
Influence of tree crown parameters on the seasonal CO2-exchange of a pine forest in Brasschaat, Belgium. Jelle Hofman Promotor: Dr. Sebastiaan Luyssaert.
Continental Modeling and Analysis of the North American Carbon Cycle
Conghe Song Department of Geography University of North Carolina
Marcos Heil Costa Universidade Federal de Viçosa
A new leaf phenology for the land surface scheme TERRA of the COSMO atmospheric model Jan-Peter Schulz1,3,*, Gerd Vogel2, Bodo Ahrens3, Reto Stöckli4 and.
Proposition for a future phase of the project:
Conditional verification of all COSMO countries: first results
Comparing Simulated and Observed Gross Primary Productivity
Biomass and Soil Moisture simulation and assimilation over Hungary
Presentation transcript:

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

Summary of the first phase of the project Comparison of both « biophysical » and « biogeochemical » flux from Different types of models with observations at one EUROFLUX site: Loobos The site: -Temperate « mature(100 years) » coniferous forest -Climate: 700 mm precipitation, 9.8 °C mean temperature - Planted on a sand  no soil carbon at the beginning of the plantation - Measured fluxes: NEE, LE,H, Rn - Meteorological parameters: incoming SW rad., precipitation, temperature, wind speed, relative humidity, pressure -Period covered: Models: Including SVAT with and without carbon cycle Proposed simulations: Free equilibrium simulations: -Models are run until equilibrium of state variables using years « in loop » Free 100 years run: -simulation of « realistic scenario »: Beginning with a soil with no Carbon, the models are run for 1906 (plantation of the forest) to 1998 Using observed climate. Constrained equilibrium simulations: Same as free equilibrium but with calibrations of parameters (simulation delayed…)

The participants of the project

The workshop was held from May at CNRS center in Gif-sur-Yvette, France. Support for the workshop was provided by CNRS/INSU. The participants of the workshop where: Jean Christophe Calvet (CNRM, France), Yeugeniy Gusev (Institute of Water Problems, Russia), Mustapha El Mayaar (Univ. Wisconsin,USA) Eddy Moors (Alterra, Netherlands), Olga Nasanova (Institute of Water Problems, Russia), Jan Polcher (LMD, France), Vincent Rivalland (CNRM, France), Andrey Shmakin (Institute of Geography, Russia), Diana Verseghy (CCS, Canada), Nicolas Viovy (LSCE,France) PILPSC1 workshop

Main results « free equilibrium simulation » Analysis on diurnal cycle, daily and monthly average For each models: Plots of mean diurnal cycles over 10 days Plots of mean seasonal diurnal cycles Plots of daily and monthly means Plots of monthly model v.s data Global statistics: intercept v.s. Slope RMSE sys v.s. non systematic: The RMSE systematic indicate « bias » in the model The RMSE non-systematic is the residue of the RMSE Index of agreement: Global measurement of agreement between model an observation.

Slope/intercept and RMSE unsys/sys For the different models (3 hourly fluxes)

Index of agreement for all models

« 100 years simulation » Same as for F-E run plus: Comparison of sinks simulated and observed for 1997 and 1998 Trajectories of several parameters for the 93 years of the run: - NEE - GPP - NPP - Total soil carbon - Total living biomass - biomass increment

Modeled and simulated carbon net sink In 1997 and 1998

CLASS-MCMCLASS-UA ORCHIDEE-1ORCHIDEE-2 SWAP IBIS Annual NEE (Kg C m-2 y-1) MC AVIM CLASS-MCMCLASS-UA ORCHIDEE-1ORCHIDEE-2 IBIS Annual GPP (Kg C m-2 y-1) 2 kind of behaviors: IBIS of ORCHIDEE-1 that reach rapidly the NPP (beginning with High sink) CLASS or SWAP with progressive increase of NPP (with increasing sink) MC or ORCHIDEE-2 is between the two.

CLASS-MCMCLASS-UA ORCHIDEE-1ORCHIDEE-2 SWAP IBIS VISA Total living biomass (Kg C/m-2) MC AVIM CLASS-MCMCLASS-UA ORCHIDEE-1ORCHIDEE-2 SWAP IBIS VISA Total Soil carbon (Kg C/m-2) MC AVIM

Completion of the first phase New model outputs will be added e.g: LAI, separation between below and above Biomass, height of trees..... Calibrated simulations with: LAI (trees, understorey(seasonal cycle) Maximun unstressed assimilation Root zone depth Water table depth Height of trees (height of « first branches ») Litter layer Soil carbon (to check if we can informations about partition between pools) Soil water content Soil temperature (end of ) Some new analysis Separation between night/day cloudy/clear warm/cold Estimation of WUE Ratio NEE/total respiration.

Main preliminary conclusion Taking into account that models was not calibrated The models reproduce relatively well the observations Sensible heat flux is overestimated at night High net CO2 and latent heat fluxes are underestimated The 100 years simulation was very interesting Since if all models give relatively similar NEE And are all able to reproduce the difference of Sink between 1997 and 1998, trajectories of Models carbon fluxes and pools are very different ! For more details on results go to: