FLUXNET and Remote Sensing Open Workshop Mathias Goeckede, Natascha Kljun, Laura Chasmer Topic 3: Fluxes, Hyperspectral Remote Sensing and Upscaling.

Slides:



Advertisements
Similar presentations
1 Division of Atmospheric Sciences, Department of Physical Sciences, University of Helsinki, POBox 64, FIN-00014, Helsinki, Finland (e  mail:
Advertisements

** The paper recommended (McGarigal and Cushman 2002) summarizes the fragmentation studies with the most recent and richest references on the topic. SPATIAL.
Briefing for the Upper Colorado River Basin Pilot Update Meeting, February 24, 2011.
INTEGRATION OF MEASURED, MODELLED & REMOTELY SENSED AIR QUALITY DATA & IMPACTS ON THE SOUTH AFRICAN HIGHVELD Kubeshnie Bhugwandin - October 2007.
Geog 458: Map Sources and Errors Uncertainty January 23, 2006.
Globally distributed evapotranspiration using remote sensing and CEOP data Eric Wood, Matthew McCabe and Hongbo Su Princeton University.
Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.
USING GIS TO FOSTER DATA SHARING AND COMMUNICATION SEAN MURPHY IVS BURLINGTON, VT.
Has EO found its customers? 1 Space Applications Institute Directorate General Joint Research Centre European Commission Ispra (VA), Italy
Intro. To GIS Lecture 4 Data: data storage, creation & editing
Geographical Data Products Carol Blackwood UKBORDERS 3 rd July 2012.
Challenges in Urban Meteorology: A Forum for Users and Providers OFCM Panel Summaries Bob Dumont Senior Staff Meteorologist OFCM.
SODAR: Uses and Acceptance Laura Tabor Wind Engineering Intern EAPC Wind Energy Services August 7, 2009.
Updating EU forest types process Marco Marchetti University of Molise-Italian Academy of Forest Science.
Challenges in Urban Meteorology: A Forum for Users and Providers OFCM Workshop Summaries Lt Col Rob Rizza Assistant Federal Coordinator for USAF/USA Affairs.
Database structure for the European Integrated Tokamak Modelling Task Force F. Imbeaux On behalf of the Data Coordination Project.
IPlant Collaborative Tools and Services Workshop iPlant Collaborative Tools and Services Workshop Collaborating with iPlant.
The role of the Chequamegon Ecosystem-Atmosphere Study in the U.S. Carbon Cycle Science Plan Ken Davis The Pennsylvania State University The 13 th ChEAS.
1 Breakout Notes Session 3 Group 2 – (Global/Broad Scale/Regional) Integrated assessment models (socio-economic/biophysical) in relationship to land cover.
Princeton University Development of Improved Forward Models for Retrievals of Snow Properties Eric. F. Wood, Princeton University Dennis. P. Lettenmaier,
1 st INFASA Symposium and Workshop Synthesis March 16 and 17, 2006 Bern, Switzerland As presented at the Symposium and Workshop by Dr. Fritz Häni, SHL.
IPlant Collaborative Tools and Services Workshop iPlant Collaborative Tools and Services Workshop Collaborating with iPlant.
Remote Sensing Break-out: Wed. Jan 24, 9:30-12:00 Summary report Joost van Haren Jeff Morisette.
Translation to the New TCO Panel Beverly Law Prof. Global Change Forest Science Science Chair, AmeriFlux Network Oregon State University.
Database Essentials. Key Terms Big Data Describes a dataset that cannot be stored or processed using traditional database software. Examples: Google search.
Preparing Metadata Records Suresh K.S. Vannan ORNL, Oak Ridge, TN Viv Hutchison US Geological Survey, Denver, CO
APPLICATIONS OF THE INTEGRAL EQUATION MODEL IN MICROWAVE REMOTE SENSING OF LAND SURFACE PARAMETERS In Honor of Prof. Adrian K. Fung Kun-Shan Chen National.
Agency for Healthcare Research and Quality Advancing Excellence in Health Care A Web-Based Tool for Quality and Utilization Reporting Anne.
Gap filling of eddy fluxes with artificial neural networks
Touchstone Automation’s DART ™ (Data Analysis and Reporting Tool)
The european ITM Task Force data structure F. Imbeaux.
Height Growth [m/3yr] An example: Stand biomass estimation by LiDAR.
AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.
Role of Spatial Database in Biodiversity Conservation Planning Sham Davande, GIS Expert Arid Communities Technologies, Bhuj 11 September, 2015.
Using FLUXNET data to evaluate land surface models Ray Leuning and Gab Abramowitz 4 – 6 June 2008.
ORNL DAAC MODIS Subsetting and Visualization tools Tools and services to access subsets of MODIS data Suresh K. Santhana Vannan National Aeronautics and.
User Interfaces 4 BTECH: IT WIKI PAGE:
Large-Eddy Simulations of the Nocturnal Low-Level Jet M.A. Jiménez Universitat de les Illes Balears 4th Meso-NH user’s meeting, Toulouse April 2007.
Terrestrial Carbon Observations TCO Previous Strategy 1- better identify the potential end users, and their requirements 2- organize and coordinate reliable.
WRF Four-Dimensional Data Assimilation (FDDA) Jimy Dudhia.
DatabaseCSIE NUK1 Fundamentals of Database Systems Chapter 1 Database and Database Users.
Using and modifying plan constraints in Constable Jim Blythe and Yolanda Gil Temple project USC Information Sciences Institute
Implementation and preliminary test of the unified Noah LSM in WRF F. Chen, M. Tewari, W. Wang, J. Dudhia, NCAR K. Mitchell, M. Ek, NCEP G. Gayno, J. Wegiel,
Mercury – A Service Oriented Web-based system for finding and retrieving Biogeochemical, Ecological and other land- based data National Aeronautics and.
Remote Sensing Subgroup 2: Process-based modeling of carbon fluxes Remotely sensing measurements as inputs into terrestrial and marine process models that.
We provide web based benchmarking, process diagnostics and operational performance measurement solutions to help public and private sector organisations.
Introduction of Geoprocessing Lecture 9. Geoprocessing  Geoprocessing is any GIS operation used to manipulate data. A typical geoprocessing operation.
We provide web based benchmarking, process diagnostics and operational performance measurement solutions to help public and private sector organisations.
ORNL DAAC: Introduction Bob Cook ORNL DAAC Environmental Sciences Division Oak Ridge National Laboratory.
BOT / GEOG / GEOL 4111 / Field data collection Visiting and characterizing representative sites Used for classification (training data), information.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
Written by Changhyun, SON Chapter 5. Introduction to Design Optimization - 1 PART II Design Optimization.
MODIS contribution to NACP MODIS Land break-out Session March 24, 2005 Jeff Morisette 1 Bill Emanuel 2 1 NASA Goddard 2 NASA HQ.
Task Analysis Lecture # 8 Gabriel Spitz 1. Key Points  Task Analysis is a critical element of UI Design  It specifies what functions the user will need.
GE 3128: Geographical Research Methods Mr. Idrissa Y. H. Assistant Lecturer In Geography Department of Social Sciences State University of Zanzibar Friday22.
Success and Failure of Implementing Data-driven Upscaling Using Flux Networks and Remote Sensing Jingfeng Xiao Complex Systems Research Center, University.
Page 1© Crown copyright Modelling the stable boundary layer and the role of land surface heterogeneity Anne McCabe, Bob Beare, Andy Brown EMS 2005.
McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, All Rights Reserved Chapter 7 Storing Organizational Information - Databases.
Global Positioning Systems (GPS) A system of Earth-orbiting satellites which provides precise location on the earth’s surface in lat./long coordinates.
Federal Land Manager Environmental Database (FED) Overview and Update June 6, 2011 Shawn McClure.
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
CYBER-GIS FOR SCIENTIFIC DISCOVERIES. Global Forest Change Hansen, M. C. et al (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change.
Factsheet # 27 Canopy Structure From Aerial and Terrestrial LiDAR
WRF Four-Dimensional Data Assimilation (FDDA)
Can Statistical monitoring really improve data integrity?
Similarity theory 1. Buckingham Pi Theorem and examples
Data Warehouse.
Incorporating Ancillary Data for Classification
FACTON Provides Businesses with a Cloud Solution That Elevates Enterprise Product Cost Management to a New Level Using the Power of Microsoft Azure MICROSOFT.
OBSERVER DATA MANAGEMENT PRINCIPLES AND BEST PRACTICE (Agenda Item 4)
Presentation transcript:

FLUXNET and Remote Sensing Open Workshop Mathias Goeckede, Natascha Kljun, Laura Chasmer Topic 3: Fluxes, Hyperspectral Remote Sensing and Upscaling

Integrating footprints into FLUXNET database Requirements Find compromise between model accuracy, processing time (1000+ site years) and input data availability Provide both simple footprint metrics (e.g. basic dimensions) and detailed results (e.g. full source weight function) for customized in-depth studies Offer options for more intensive footprint analyses, e.g. more sophisticated models for sites with extended datasets

Integrating footprints into FLUXNET database Focus on 2-3 models (suggestions: Hsieh et al., Kljun et al.) that are comparatively easy to handle, yet accurate and flexible Add ‘simple’ metrics as additional columns to database: Position of source weight maximum Characteristic dimensions of source weight function (e.g. maximum alongwind distance of 80% effect level) Flux contribution percentage from target land use type These are intended to give a quick insight into potential data problems related to heterogeneous land cover in the fetch

Integrating footprints into FLUXNET database Store full source weight function to offer interested user the option to run customized analyses Additional requirement: Software tool that allows to overlay footprints with remote sensing data layers in different formats -> Each user can define how to define ‘heterogeneous’, e.g. user a multi-layer analysis including land cover type, LAI, stand height, topography, etc

Data requirements for bridging the scales between towers and RS Fluxnet Community: Requirement of data from fluxnet community to derive footprints (e.g. prevailing wind directions, high frequency (sigma) values, Monin Obukov length). Remote Sensing Community: Requires information on site heterogeneity, wind direction Put together high-resolution remote sensing datasets at each site to help with both scaling and quality control of tower data  This information should be included in the ORNL DAAC and fluxnet websites

Remote sensing products to describe site characteristics What key metrics are required to capture the main factors that determine heterogeneous flux fields for different ecosystems (e.g. peatland, forest, desert…)? Soil moisture? LAI? Vertical stand structure (LIDAR data)? Are these data layers available for all sites?

Database for footprint model development and evaluation What datasets are (publicly) available that allow for footprint model evaluation? Artificial and natural tracer experiments Multi-tower observations across flux gradients Identify a subset of sites that provide additional data on e.g. Boundary layer height Vertically resolved turbulence structure

Cost/benefit analysis for different footprint model versions Wide range of models available (simple analytic to complex LES) Need to define investment (processing time, input data, etc) Need to define accuracy (benchmarking system?) Accuracy Investment

Summary Collection of input parameters for detailed footprint analyses in FLUXNET database Creation of a footprint information webpage on fluxdata.org Additional information on site heterogeneity as ancillary data in FLUXNET database Input from SpecNet on additional remote sensing products for footprint studies Have these tools / data available for upscaling exercises