James Acker 1, Greg Leptoukh 1, Steve Kempler 1, Watson Gregg 2, Steve Berrick 1, Tong Zhu 1, Zhong Liu 1, Hualan Rui 1, Suhung Shen 1 1 NASA Goddard Earth.

Slides:



Advertisements
Similar presentations
1 SWALIM Workshop, Nairobi June 2007 N. Hoepffner, M.Clerici, and S. Djavidnia* Global Environment Monitoring Unit EC-JRC, Ispra The African Marine.
Advertisements

Examining Lake Michigan Spring Euphotic Depth (Z eu ) Anomalies utilizing 10 years of MODIS-Aqua data at 4 kilometer resolution James G. Acker NASA GES.
Atmospheric Iron Flux and Surface Chlorophyll at South Atlantic Ocean: A case study Near Patagonia J. Hernandez*, D. J. Erickson III*, P. Ginoux†, W. Gregg‡,
James G. Acker NASA GES DISC/Wyle IS LLC Greenbelt, MD Daniel Zalles SRI International, Inc. Menlo Park, CA Ruth Krumhansl Education Development Center.
Using NASA’s Giovanni System to Detect and Monitor Saharan Dust Outbreaks James G. Acker NASA Goddard Earth Sciences Data and Information Services Center.
Integrated Ecosystem Assessment for the Gulf of Mexico Becky Allee Gulf Coast Services Center.
Temporal and Spatial Variations of Sea Surface Temperature and Chlorophyll a in Coastal Waters of North Carolina Team Members: Brittany Maybin Yao Messan.
Climate Variability and Phytoplankton Composition in the Pacific Ocean Presented by James Acker Authors: Rousseaux C.S., Gregg W.W., Gregory G. Leptoukh.
Giovanni Facilitates Investigations of Coastal Environmental Processes with NASA Remote-Sensing Data James G. Acker NASA Goddard Earth Sciences Data and.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Satellite Observations of Seasonal Sediment Plume in the Central East China.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.
Using NASA’s Giovanni System to Detect and Monitor Saharan Dust Outbreaks James G. Acker NASA Goddard Earth Sciences Data and Information Services Center.
S James Acker 2, Greg Leptoukh 1, Steve Kempler 1, Watson Gregg 3, Steve Berrick 1, Tong Zhu 2, Zhong Liu 2, Hualan Rui 2, Suhung Shen 4 1 NASA Goddard.
SeaWiFS Views Smoke Plumes from Fires Around Sydney, Australia Gene Feldman NASA Goddard Space Flight Center, Laboratory for Hydrospheric Processes,
(Images from NOAA web site). How to use satellite data ?
Introduction to NASA Goddard Space Flight Center(GSFC) Data and Information Services Center(GES DISC) National Aeronautics and Space Administration
High Resolution MODIS Ocean Color Fred Patt 1, Bryan Franz 1, Gerhard Meister 2, P. Jeremy Werdell 3 NASA Ocean Biology Processing Group 1 Science Applications.
Ocean Color, Remote Sensing, and Oceanographic Education: I. I. It’s Exciting! II. II. Is it Too Good to be True? James G. Acker NASA Goddard Earth Sciences.
Exploiting the Capabilities of NASA's Giovanni System for Oceanographic Education James Acker NASA Goddard Earth Sciences Data and Information Services.
A Global Agriculture Information System Zhong Liu 1,4, W. Teng 2,4, S. Kempler 4, H. Rui 3,4, G. Leptoukh 3 and E. Ocampo 3,4 1 George Mason University,
CDC Cover. NOAA Lab roles in CCSP Strategic Plan for the U.S. Climate Change Science Program: Research Elements Element 3. Atmospheric Composition Aeronomy.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
Harmful Algal Blooms A marine ecosystem manager is interested in using satellite and ocean model products to find precursors for the determination of harmful.
James Acker 1 Watson Gregg 2 Gregory Leptoukh 1 Steven Kempler 1 Nancy Casey 2 Gene Feldman 3 Charles McClain 3 Wayne Esaias 2 Suhung Shen 1 1 NASA Goddard.
Chlorophyll variability along the Louisiana-Texas coast from satellite wind and ocean color data Eurico D’Sa Department of Oceanography and Coastal Sciences.
Joaquim I. Goes and Helga Gomes Bigelow Laboratory for Ocean Sciences Increasing productivity in the Arabian Sea linked to shrinking snow caps – How satellites.
James Acker NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)
Center Pixel Value Mean Value of All Pixels Percent of Pixels that meet QC Criteria Web and Web Services based tool that provides subsets and visualization.
1 Foundations VI: Discovery, Access and Semantic Integration Data Mining and Knowledge Discovery - Continued Deborah McGuinness and Joanne Luciano with.
Imagery.
Lecture 5 The Climate System and the Biosphere. One significant way the ocean can influence climate is through formation of sea ice. Sea ice is much more.
ABSTRACT In recent years, the NOAA CoastWatch Okeanos Ocean Color Operational Production System (OPS) has been providing a series of high quality ocean.
September 4, 2003MODIS Ocean Data Products Workshop, Oregon State University1 Goddard Earth Sciences (GES) Distributed Active Archive Center (DAAC) MODIS.
ESIP Federation 2004 : L.B.Pham S. Berrick, L. Pham, G. Leptoukh, Z. Liu, H. Rui, S. Shen, W. Teng, T. Zhu NASA Goddard Earth Sciences (GES) Data & Information.
MODIS OCEAN QA Browse Imagery (MQABI Browse Tool) NASA Goddard Space Flight Center Sept 4, 2003
A 04/10/2000 HHOB HJMS HOMA HDUN HUAF HNSG HCHL HPRE Cloud Cover and Ocean Area Search for SeaWiFS Ocean Color Data J.G. Acker 1 D. Nadeau 1 S. Shen 2.
2010 AMS Effect of changes in GCM resolution on the connection between summertime precipitation, moisture flux, and the position of the Bermuda High Laura.
Objective Data  The outlined square marks the area of the study arranged in most cases in a coarse 24X24 grid.  Data from the NASA Langley Research Center.
Cooling and Enhanced Sea Ice Production in the Ross Sea Josefino C. Comiso, NASA/GSFC, Code The Antarctic sea cover has been increasing at 2.0% per.
Relationship between interannual variations in the Length of Day (LOD) and ENSO C. Endler, P. Névir, G.C. Leckebusch, U. Ulbrich and E. Lehmann Contact:
NASA Ocean Color Research Team Meeting, Silver Spring, Maryland 5-7 May 2014 II. Objectives Establish a high-quality long-term observational time series.
NASA Earth Observing System Visualization Tools ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Introduction.
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
Suhung Shen James G. Acker Denis Nadeau George Serafino Goddard Earth Sciences (GES) Data and Information Services Center (DISC) Distributed Active Archive.
Suhung Shen 1 J. Acker 3, G. Leptoukh 2, H. Rui 3, S. Berrick 2, S. Kempler 2 1 George Mason University.
Fog- and cloud-induced aerosol modification observed by the Aerosol Robotic Network (AERONET) Thomas F. Eck (Code 618 NASA GSFC) and Brent N. Holben (Code.
The effect of wind on the estimated plume extension of the La Plata River Erica Darken Summer 2004.
Vegetation Index Visualization of individual composite period. The tool provides a color coded grid display of the subset region. The tool provides time.
VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.
The Giovanni-NEO Oceanographic Education Cookbook Instructional James G. Acker David Herring Gregory Leptoukh Suhung Shen Steven Kempler NASA Goddard Earth.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Ecosystem Theme Introduction.
Giovanni and LOCUS: Innovative Ways for Teachers and Students to Conduct Online Learning and Research with Oceanographic Remote Sensing Data James G. Acker.
HISTORICAL HIGHLIGHTS 1993 Coastal Zone Color Scanner (CZCS) data is archived at the Goddard Distributed Active Archive Center CZCS data files are.
AIRS/AMSU-A/HSB Data Subsetting and Visualization Services at GES DAAC Sunmi Cho, Jason Li, Donglian Sun, Jianchun Qin and Carrie Phelps, Code 902, NASA.
Goddard Earth Sciences Data and Information Services Center, NASA/GSFC, Code 902, Greenbelt, Maryland 20771, USA INTRODUCTION  NASA Goddard Earth Sciences.
SeaWiFS Views Equatorial Pacific Waves Gene Feldman NASA Goddard Space Flight Center, Lab. For Hydrospheric Processes, This.
Satellite Aerosol Comparative Analysis using the Multi-Sensor MAPSS and AeroStat, powered by Giovanni Presented at the Goddard Annual Aerosol Update, at.
Monitoring Global Droughts from Space Zhong Liu 1,4, W.L. Teng 2,4, S. Kempler 4, H. Rui 3,4, G. Leptoukh 4, and E. Ocampo 3,4 1 George Mason University,
Air pollutants, such as aerosols and various trace gases, are transported on a hemispheric or global scale. The Task Force on Hemispheric Transport of.
Dr. Neil S. Suits. NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio SeaWiFS Ocean Biosphere: 1997 to.
ORNL DAAC MODIS Land Product Subsets 1 Suresh K. Santhana Vannan, Robert B. Cook, Bruce E. Wilson, Lisa M. Olsen Environmental Sciences Division, Oak Ridge.
SeaWiFS Highlights July 2002 SeaWiFS Celebrates 5th Anniversary with the Fourth Global Reprocessing The SeaWiFS Project has just completed the reprocessing.
Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.
Monitoring and prediction of ENSO, the Benguela Nino and other large scale phenomena; subsequent impacts upon southern African rainfall patterns; and the.
Zhong Liu George Mason University and NASA GES DISC
Global Precipitation Data Access, Value-added Services and Scientific Exploration Tools at NASA GES DISC Zhong Liu1,4, D. Ostrenga1,2, G. Leptoukh4, S.
NASA’s Ocean Color Online Visualization and Analysis System
NASA’s Ocean Color Online Visualization and Analysis System
Data Discovery Tools and Services Part B
Presentation transcript:

James Acker 1, Greg Leptoukh 1, Steve Kempler 1, Watson Gregg 2, Steve Berrick 1, Tong Zhu 1, Zhong Liu 1, Hualan Rui 1, Suhung Shen 1 1 NASA Goddard Earth Sciences (GES) Data & Information Services Center (DISC) / Distributed Active Archive Center (DAAC) Code 902, NASA Goddard Space Flight Center Greenbelt, Maryland USA 2 GSFC Laboratory for Hydrospheric Processes, Code FOR MORE INFORMATION: The Ocean Color Time-Series Project, including Giovanni development, is supported by NASA through REASoN CAN 42-OES-01. The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has taken a major step addressing the challenge of using archived Earth Observing System (EOS) data for regional or global studies by developing an infrastructure with a World Wide Web interface which allows online, interactive, data analysis: the GES DISC Interactive Online Visualization and ANalysis Infrastructure, or "Giovanni." Giovanni provides a data analysis environment that is largely independent of underlying data file format. The Ocean Color Time-Series Project has created an initial implementation of Giovanni using monthly Standard Mapped Image (SMI) data products from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) mission and Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua). The first phase of this project includes tutorials demonstrating the use of Giovanni and collaborative assistance in the development of research projects using SeaWiFS, MODIS-Aqua, and Ocean Color Time-Series Project data in the online Laboratory for Ocean Color Users (LOCUS). Synergy of Giovanni with high-quality ocean color data provides users with the ability to investigate a variety of important oceanic phenomena, such as coastal primary productivity related to pelagic fisheries; seasonal patterns and interannual variability; interdependence of atmospheric dust aerosols and harmful algal blooms; and the potential effects of climate change on oceanic productivity. FOCUS ON RESULTSADD VALUE TO RESULTSUSE GIOVANNI FOR FURTHER ANALYSISPUBLISHBRING THE EARTH INTO FOCUS Remote sensing data and data products at no cost Modular algorithm integration for high-volume processing Complex data interpretations and statistical analyses Focus on analysis without having to download data Summary GES DISC: THE BRIDGE BETWEEN DATA AND SCIENCE The Goddard Earth Sciences Data and Information Services Center (GES DISC) created Giovanni – the GES DISC Interactive Online Visualization and ANalysis Infrastructure – as a prototype data analysis tool for the multi-decadal ocean color time-series products that are currently being created by the Ocean Color Time-Series Project, a Research, Education, and Applications Solution Network (REASoN) project. Giovanni facilitates the use of these data products by providing data analysis capabilities without the necessity for ordering and acquiring large data volumes or extensive sets of data files. Tools like Giovanni alter the role of a data archive from that of a data provider to a more interactive role as an intermediary in the research use of data products contained in the archive. Giovanni’s initial implementation uses Level 3 Standard Mapped Image (SMI) products from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) mission and Moderate Resolution Imaging Spectroradiometer (MODIS) Level 3 SMI products created by the Ocean Color Data Processing System (OCDPS) for MODIS-Aqua data. The Ocean Color Time-Series Project will create a multi-decade ocean color time-series with the addition of data from the Coastal Zone Color Scanner (CZCS) and the Ocean Color and Temperature Scanner (OCTS) to the SeaWiFS and MODIS data sets, and will create a framework allowing the eventual addition of other ocean color data sets, such as new data from the Visible/Infrared Imaging Radiometer Suite (VIIRS). Giovanni users select geophysical parameters and the geographical region and time period of interest. The system rapidly generates graphical or ASCII numerical data output. Currently available output options are: Area plot (averaged or accumulated over any available data period for any rectangular area); Time plot (time series averaged over any rectangular area); Hovmöller plots (image view of any longitude-time and latitude-time cross sections); ASCII output for all plot types; and area plot animations. Future plans include correlation plots, output formats compatible with Geographical Information Systems (GIS), and higher temporal resolution data. The Ocean Color Time-Series Web site provides access to Giovanni, explanation of the goals of the project, progress reports, and other relevant information. The Web site hosts the Laboratory for Ocean Color USers (LOCUS), which provides (or will provide in the future): demonstrations of Giovanni applications; guidance and assistance for research investigations and projects; and examples of ocean color research efforts which have utilized Giovanni and the time-series data products. The first activity within LOCUS was the creation of three research tutorials. These tutorials examined familiar settings in which the underlying biological dynamics were relatively well- known. However, in the course of creating the tutorials, Giovanni allowed the observation of unexpected features in the data, showing that Giovanni enables open-ended discovery-based research. Because the use of Giovanni is highly intuitive and remarkably simple, Giovanni enables scientific investigation and instruction at the “entry level”: undergraduates and even high school students. Giovanni enhancements planned for the near-future will make it even more useful to a broad spectrum of the oceanographic research community. These enhancements include: correlation plots; error analysis capability; output formats compatible with Geographical Information Systems (GIS); more image format options; and higher temporal resolution data. Laboratory for Ocean Color Users (LOCUS) Tutorials: Intriguing Observations Influence of El Niño on the Gulf of Panama Seasonal Productivity Cycle The biological dynamics of the Gulf of Panama are dominated by winter wind-mixing events. Atmospheric pressure differences on the Pacific and Caribbean sides of the Isthmus of Panama cause high wind speed events through the Gaillard Cut (Panama Canal Zone). These winds mix nutrients from deeper waters to the surface, resulting in increased phytoplankton productivity and higher chlorophyll concentrations. This tutorial investigated the influence of El Niño/La Niña events on the phytoplankton productivity of the Gulf of Panama. The expected suppression of productivity during the strong El Niño was observed. The tutorial also observed anomalously higher chlorophyll concentrations in autumn 2001, preceding the occurrence of a moderate El Niño in Further investigation is required to determine if this observation is an El Niño precursor. Seasonal Patterns and Mysteries in the Red Sea The Red Sea is one of the lowest-productivity bodies of water in the world, due primarily to low nutrient concentrations. No major rivers enter the Red Sea. The clarity and warmth of the Red Sea waters, and its remoteness, make it home to many of the world’s most pristine coral reefs. This tutorial investigated seasonal cycles in the Red Sea. SeaWiFS ocean color data indicated that the northern Red Sea has a brief “spring bloom” pattern, with slightly elevated chlorophyll concentrations that are still quite low. The southern Red Sea has a distinctly different seasonal pattern that is linked to the Arabian Sea monsoon. Giovanni data analysis in the northern Red Sea indicated a small, mysterious feature of elevated chlorophyll concentrations in the winter, spring, and fall, which was absent in the summer. Examination of maps and descriptions of this area indicated that the feature was in the location of the large Mirear Island reef complex. The seasonality of the elevated chlorophyll concentrations supports a hypothesis that the higher chlorophyll concentrations are due to wind transport of chlorophyll-rich detritus from this reef. Wind-mixing events during winter enhance phytoplankton productivity in the Gulf of Panama. Average chlorophyll concentrations over the SeaWiFS mission period show the characteristic seasonal pattern, and the influence of El Niño. Latitude vs. time plot displaying reduced chlorophyll during El Niño, and anomalous increased productivity during autumn Average chlorophyll concentrations in the Red Sea in the year Latitude vs. time plot for the year 2001, showing the northern Red Sea spring bloom and an unusual ocean color feature observed in winter, spring, and autumn. Annual chlorophyll concentrations in 2001 on the Red Sea coast show the location of the unusual feature (dynamic color scale is used here). Landsat image of the Mirear Island reef complex (obtained from the Millenium Coral Reef Project image library). Higher chlorophyll concentrations shown in the figure at left occur offshore of this reef complex. The REASoN for Giovanni SeaWiFS: monthly global 9-km product MODIS-Aqua: monthly global 9-km product SeaWiFS SMI Products: chlorophyll a concentration, K(490), nLw(555), Angstrom coefficient nm, τ(865). MODIS products use closest equivalent wavelength. DATA AVAILABLE This demonstration was created solely for this poster and had not been conducted previously. Giovanni Home Page Selection of research area of interest. Java map or entry of geographical coordinates are options. Chlorophyll a area plot for The default color scale was selected; dynamic and user-specified color palette range can also be selected. Time plot of chlorophyll a concentration for the SE Caribbean Sea in year This area is significantly influenced by the “rainy season” outflow from the Orinoco River. Higher freshwater flow from the Orinoco provides increased nutrients, increasing phytoplankton productivity, which is observed as higher chlorophyll concentration. Area plot of chlorophyll a concentrations during the low productivity phase, February Higher chlorophyll concentrations are observed in the coastal region of Venezuela, and significantly lower concentrations in the Caribbean Sea, especially around the Lesser Antilles. Area plot of chlorophyll a concentrationsduring the high productivity phase, July The influence of nutrients in the Orinoco River outflow is clearly seen in this monthly area plot. Also note in the southeastern corner of the region another area of increased productivity, likely due to increased freshwater flow from the Amazon River. Hovmöller latitude vs. time plot for the southeast Caribbean Sea in year This plot shows the extent of influence from the rainy season Orinoco River freshwater flow, with significantly increased chlorophyll concentrations extending to 15º N and slightly elevated concentrations extending to 17º N. The total time required to generate these images and plots was less than 15 minutes. Giovanni Session Demonstration: Seasonal Productivity in the southeast Caribbean Sea