Evaluating simulated vegetation distributions and characteristics Andrew D. Friend, Tim Tito Rademacher, ISI-MIP2 biomes teams, etc. 1.

Slides:

Advertisements

Similar presentations

Extracts from GEO Work Plan V0 To be reviewed over the Symposium (see Agenda)

Advertisements

U.S. Department of the Interior U.S. Geological Survey USGS/EROS Data Center Global Land Cover Project – Experiences and Research Interests GLC2000-JRC.

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

Biomes Thinking Questions.

Xiangming Xiao Department of Botany and Microbiology, College of Arts and Sciences Center for Spatial Analysis, College of Atmospheric.

Equator Tropic of Cancer AFRICA ASIA Latitudes near the North Pole NORTH AMERICA We will examine a set of images and maps produced by NASA (vegetation.

Land Data Assimilation

Gilberto Camara, Max J. Egenhofer, Karine Ferreira, Pedro Andrade, Gilberto Queiroz, Alber Sanchez, Jim Jones, and Lubia Vinhas image: INPE Fields as a.

Magnitude and Spatial Distribution of Uncertainty in Ecosystem Production and Biomass of Amazonia Caused by Vegetation Characteristics Christopher Potter.

SKYE INSTRUMENTS LTD Llandrindod Wells, United Kingdom.

Carbon Cycle and Ecosystems Important Concerns: Potential greenhouse warming (CO 2, CH 4 ) and ecosystem interactions with climate Carbon management (e.g.,

Radar, Lidar and Vegetation Structure. Greg Asner TED Talk.

ReCover for REDD and sustainable forest management EU ReCover project: Remote sensing services to support REDD and sustainable forest management in Fiji.

Workshop welcome. Workshop Welcome THE FIRST GLOBAL VEGETATION MONITOR.

Global BVOC Emission Inventories:

4. Testing the LAI model To accurately fit a model to a large data set, as in the case of the global-scale space-borne LAI data, there is a need for an.

Questions How do different methods of calculating LAI compare? Does varying Leaf mass per area (LMA) with height affect LAI estimates? LAI can be calculated.

Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling.

Compton Tucker, GSFC Sassan Satchi, JPL Jeff Masek, GSFC Rama Nemani, ARC Diane Wickland, HQ Terrestrial Biomass Pilot Product: Estimating Biomass and.

Management Of Tropical Rainforest. Managing Global Ecosystems Woodlands and forests throughout the world are under threat from being cut down for a variety.

Landscape-scale forest carbon measurements for reference sites: The role of Remote Sensing Nicholas Skowronski USDA Forest Service Climate, Fire and Carbon.

Tropical rainforest Submitted by: Stefan Ryan V. Delfin Clarisse joy de Guzman Marsha Nakaerts Submitted to: Sir Henry Calilung.

Global estimates of emissions from fires, Part 1: Emission estimates from fires in the Tropics and Subtropics, Guido R. van der Werf 1, James.

Science Enabled by New Measurements of Vegetation Structure (ICESat-II, DESDynI, etc.) Some Ecological Considerations Jon Ranson & Hank Shugart Co-Chairs.

Mapping Forest Canopy Height with MISR We previously demonstrated a capability to obtain physically meaningful canopy structural parameters using data.

3 rd Quarter Vocabulary. Tropical Rainforest A broadleaf evergreen forest around in wet and hot regions near the equator.

Guo-Yue Niu and Zong-Liang Yang The Department of Geological Sciences The University of Texas at Austin Evaluation of snow simulations from CAM2/CLM2.0.

JULES: Joint UK Land Environment Simulator A community land surface scheme.

Environmental controls and predictions of African vegetation dynamics Martin Jung, Eric Thomas Department of Biogeochemical Integration.

Michael Notaro U.W. Madison Center for Climatic Research OCT2004OCT2004.

PHAiRS : Dust Modeling PHAiRS : Dust Modeling Dazhong Yin Slobodan Nickovic William A. Sprigg March 14, 2006.

Biomass Mapping The set of field biomass training data and the MODIS observations were used to develop a regression tree model (Random Forest). Biomass.

Translation to the New TCO Panel Beverly Law Prof. Global Change Forest Science Science Chair, AmeriFlux Network Oregon State University.

Land carbon cycle managed ecosystems and climate Galina Churkina Institute for Advanced Sustainability Studies Potsdam, Germany.

New Uses and Approaches for Land Data Products Jeffrey Masek, Biospheric Sciences NASA Goddard Space Flight Center.

Maria Val Martin and J. Logan (Harvard Univ., USA) D. Nelson, C. Ichoku, R. Kahn and D. Diner (NASA, USA) S. Freitas (INPE, Brazil) F.-Y. Leung (Washington.

Remote Sensing of LAI Conghe Song Department of Geography University of North Carolina Chapel Hill, NC

BIOPHYS: A Physically-based Algorithm for Inferring Continuous Fields of Vegetative Biophysical and Structural Parameters Forrest Hall 1, Fred Huemmrich.

LAI/ fAPAR. definitions: see: MOD15 Running et al. LAI - one-sided leaf area per unit area of ground - dimensionless fAPAR - fraction of PAR (SW radiation.

Improving carbon cycle models with radar retrievals of forest biomass data Mathew Williams, Tim Hill and Casey Ryan School of GeoSciences, University of.

Remote Sensing: Making Connections Woody Turner Earth Science Division NASA Headquarters April 22, 2015 Biodiversity and Ecological Forecasting Team Meeting.

Measuring Vegetation Characteristics

An Examination of the Relation between Burn Severity and Forest Height Change in the Taylor Complex Fire using LIDAR data from ICESat/GLAS Andrew Maher.

Claire Plagge Research & Discover Internship Summer 2008

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,

Recent Improvements and Ecological Applications of the UMT AMSR Land Parameter Record Jinyang Du, Lucas A. Jones, and John S. Kimball Numerical Terradynamic.

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

H51A-01 Evaluation of Global and National LAI Estimates over Canada METHODOLOGY LAI INTERCOMPARISONS LEAF AREA INDEX JUNE 1997 LEAF AREA INDEX 1993 Baseline.

Introduction: Our goal is to provide maps of woody plant crown cover and canopy height in the arid southwest US using moderate resolution NASA Earth Observing.

AT Remote Sensing by: Dr. Kiyoshi Honda Semester: August RS&GIS School of Advanced Technologies Asian Institute of Technology.

Multi-scale evaluation of ISIMIP biome models against NDVI and MODIS NPP data 27th October, Authors: Rashid Rafique, Fang Zhao, Ghassem Asrar, Ning.

Global Pattern of Rain Use Efficiency and Its Impact Factors Instructor: Hongyan Liu Qiuyi Wang.

MODIS/VIIRS LAI & FPAR – 2016 UPDATE Ranga B. Myneni 1 Kai Yan Taejin ParkChi Chen Yuri Knyazikhin.

Figure 10. Improvement in landscape resolution that the new 250-meter MODIS (Moderate Resolution Imaging Spectroradiometer) measurement of gross primary.

Example 1: Biodiversity Weather Stations/Automated Long-Term Monitoring: Technologies like DNA-barcoding of environmental samples, visual and acoustic.

Preparing for the Production of Essential Climate Variables (ECVs) for Biomass from Future Spaceborne Remote Sensing Missions: Is There A Role for CEOS-Carbon?

Department of Atmospheric Sciences

Satellite-derived global scale biomass burning products

MJO Modulation of Lightning in Mesoscale Convective Systems

Biomes Booklet.

NASA alert as Russian and US satellites crash in space

via local thermodynamic effects on the life-cycle of storms

Assessing woody carbon stocks in Miombo woodlands of Mozambique (see map for location). We used multiscale sampling of vegetation cover (leaf area index)

Monday’s graph.

Name that land biome.

Biomes Thinking Questions.

NASA Images & MAPS We will examine a set of images and maps produced by NASA (vegetation images, land cover and population maps) and we will look for connections.

The carbon cycle in the Amazon.

JDS international seminar

Presentation transcript:

Evaluating simulated vegetation distributions and characteristics Andrew D. Friend, Tim Tito Rademacher, ISI-MIP2 biomes teams, etc. 1

Evergreen rainforest CARAIB JULES LPJmLORCHIDEE 2

Observed vegetation/biomes  SYNMAP (Jung et al., 2006)  MODIS MOD_BU (Gao et al., 2008)  IGBP DISCover (Loveland et al., 2000, IJRS )  Haxeltine and Prentice (1996)  Olson et al. (1985) 3

Friend (2010) JXB 4

Vegetation types Friend (2010) JXB From IGBP DISCover land cover (Loveland et al., 2000, IJRS ) 5

Observed biomass  Saatchi et al. (2011) GLAS, tropics, trees  Thurner et al. (2014) BIOMASAR GSV, higher N lats, trees  Liu et al. (2015) (Passive μ wave) N Carvalhais et al. Nature 000, 1-5 (2014) doi: /nature

Observed leaf area MODIS MOD_BU (Gao et al., 2008) Friend (2010) JXB 7

Observed canopy height Global map of forest height produced from NASA's ICESAT/GLAS, MODIS and TRMM sensors. The map will advance our understanding of Earth's forest habitats and their role in Earth's carbon cycle. Image credit: NASA/JPL-Caltech 8

Filters  Woody fraction (MODIS Vegetation Continuous Field)  Anthropogenically-modified lands removed using MIRCA 9

Simulated carbon residence time in ISI-MIP2 global vegetation models No. models within interquartile range of observed interquartile range 10

Vegetation Soil Total ALL vs. obs +30% − 52% − 39% Modelled Observed  Soil (T) −− −  Soil (P) 0 −−−  Vegetation (T) +++ −  Vegetation (P) ++ + Simulated carbon residence time in ISI-MIP2 global vegetation models 11

Residence time and forest cover CARAIB JULESLPJmL ORCHIDEE GLAS+GSV passive μ wave 12