NASA What Color Is the Ocean?
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A Comparison of Global Estimates of Marine Primary Production from Ocean Color
ARTICLE IN PRESS Deep-Sea Research II 53 (2006) 741–770 www.elsevier.com/locate/dsr2 A comparison of global estimates of marine primary production from ocean color Mary-Elena Carra,Ã, Marjorie A.M. Friedrichsb,bb, Marjorie Schmeltza, Maki Noguchi Aitac, David Antoined, Kevin R. Arrigoe, Ichio Asanumaf, Olivier Aumontg, Richard Barberh, Michael Behrenfeldi, Robert Bidigarej, Erik T. Buitenhuisk, Janet Campbelll, Aurea Ciottim, Heidi Dierssenn, Mark Dowello, John Dunnep, Wayne Esaiasq, Bernard Gentilid, Watson Greggq, Steve Groomr, Nicolas Hoepffnero, Joji Ishizakas, Takahiko Kamedat, Corinne Le Que´re´k,u, Steven Lohrenzv, John Marraw, Fre´de´ric Me´lino, Keith Moorex, Andre´Moreld, Tasha E. Reddye, John Ryany, Michele Scardiz, Tim Smythr, Kevin Turpieq, Gavin Tilstoner, Kirk Watersaa, Yasuhiro Yamanakac aJet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91101-8099, USA bCenter for Coastal Physical Oceanography, Old Dominion University, Crittenton Hall, 768 West 52nd Street, Norfolk, VA 23529, USA cEcosystem Change Research Program, Frontier Research Center for Global Change, 3173-25,Showa-machi, Yokohama 236-0001, Japan dLaboratoire d’Oce´anographie de Villefranche, 06238, Villefranche sur Mer, France eDepartment of Geophysics, Stanford University, Stanford, CA 94305-2215, USA fTokyo University of Information Sciences 1200-1, Yato, Wakaba, Chiba 265-8501, Japan gLaboratoire d’Oce´anographie Dynamique et de Climatologie, Univ Paris 06, MNHN, IRD,CNRS, Paris F-75252 05, France hDuke University -
Euphotic Zone Depth: Its Derivation and Implication to Ocean-Color Remote Sensing" (2007)
University of South Florida Scholar Commons Marine Science Faculty Publications College of Marine Science 3-16-2007 Euphotic Zone Depth: Its Derivation and Implication to Ocean- Color Remote Sensing ZhongPing Lee Stennis Space Center Alan Weidemann Stennis Space Center John Kindle Stennis Space Center Robert Arnone Stennis Space Center Kendall L. Carder University of South Florida, [email protected] See next page for additional authors Follow this and additional works at: https://scholarcommons.usf.edu/msc_facpub Part of the Marine Biology Commons Scholar Commons Citation Lee, ZhongPing; Weidemann, Alan; Kindle, John; Arnone, Robert; Carder, Kendall L.; and Davis, Curtiss, "Euphotic Zone Depth: Its Derivation and Implication to Ocean-Color Remote Sensing" (2007). Marine Science Faculty Publications. 11. https://scholarcommons.usf.edu/msc_facpub/11 This Article is brought to you for free and open access by the College of Marine Science at Scholar Commons. It has been accepted for inclusion in Marine Science Faculty Publications by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Authors ZhongPing Lee, Alan Weidemann, John Kindle, Robert Arnone, Kendall L. Carder, and Curtiss Davis This article is available at Scholar Commons: https://scholarcommons.usf.edu/msc_facpub/11 JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 112, C03009, doi:10.1029/2006JC003802, 2007 Euphotic zone depth: Its derivation and implication to ocean-color remote sensing ZhongPing Lee,1 Alan Weidemann,1 John Kindle,1 Robert Arnone,1 Kendall L. Carder,2 and Curtiss Davis3 Received 6 July 2006; revised 12 October 2006; accepted 1 November 2006; published 16 March 2007. [1] Euphotic zone depth, z1%, reflects the depth where photosynthetic available radiation (PAR) is 1% of its surface value. -
Youthbuild Shades of Green
SHADES OF GREEN Table of Contents 1 Design, Layout and Infrastructure 2 Lot Selection 3 Low-Impact Lot Development 4 Foundations and Moisture Management 5 Insulation 6 Floor Framing and Subfloor 7 Exterior Wall Systems 8 Roofing 9 Interior Walls and Trim 10 Exterior Finishes 11 Plumbing, Electrical, and Mechanical 12 Porches, Stairs, Ramps 13 Finishing the Home Interior 14 Concrete Flatwork 15 Sustainable Landscaping 16 Deconstruction TABLE OF CONTENTS i SHADES OF GREEN CHAPTER 1 Design, Layout and Infrastructure Green Design Teams and the Integrated Design Process Integrated design is also known as whole building design or integrated project delivery, and emphasizes good interaction and coordination between building disciplines and building elements. The process aims to bring together all people with a stake in the building—such as financiers, designers, future occupants, developers, and sub-contractors. The group should work to design a building in which all components blend to provide space that is comfortable, functional, efficient and beautiful – a difficult task without a thoughtful team! YouthBuild programs should make sure to include YouthBuild students, neighbors, community representatives, and the electric and gas utility in your community in your home design team. Integrated design is also known as whole building design or integrated project delivery, and emphasizes good interaction and coordination between building disciplines and building elements. The process aims to bring together all people with a stake in the building—such as financiers, designers, future occupants, developers, and sub-contractors. The group should work to design a building in which all components blend to provide space that is comfortable, functional, efficient and beautiful – a difficult task without a thoughtful team! YouthBuild programs should make sure to include YouthBuild students, neighbors, community representatives, and the electric and gas utility in your community in your home design team. -
Special Topics in Ocean Optics Protocols, Part 2
NASA/TM-2004- Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 5, Volume VI: Special Topics in Ocean Optics Protocols, Part 2 James L. Mueller and Giulietta S. Fargion and Charles R. McClain, Editors J. L. Mueller, S. W. Brown, D. K. Clark, B. C. Johnson, H. Yoon, K. R. Lykke, S. J. Flora, M. E. Feinholz, N. Souaidia, C. Pietras, T. C. Stone, M. A. Yarbrough, Y. S. Kim, R. A. Barnes, Authors. National Aeronautics and Space administration Goddard Space Flight Space Center Greenbelt, Maryland 20771 February 2004 NASA/TM-2004- James L. Mueller1 and Giulietta S. Fargion2 Editors Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 5, Volume VI, Part 2: Special Topics in Ocean Optics Protocols, Part 2 James L Mueller, CHORS, San Diego State University, San Diego, California Giulietta S. Fargion, Science Applications International Corporation, Beltsville, Maryland Charles R. McClain, NASA Goddard Space Flight Center, Greenbelt, Maryland B. Carol Johnson, Steven W. Brown, Howard Yoon, Keith Lykke, Nordine Souaidia, National Institute of Standards and Technology, Gaithersburg Maryland Dennis K. Clark, National Oceanic and Atmospheric Administration, National Environmental Satellite Data and Information Service, Camp Springs, Maryland Stephanie Flora, Michael E. Feinholz, Mark Yarbrough, Moss Landing Marine Laboratories, San Jose State University, Moss Landing, California Yong Sung Kim, STG Inc., Rockville, Maryland Christophe Pietras, Robert A. Barnes, SAIC General Sciences Corporation, Beltsville, -
Our Approach CICERO Shades of Green Company Assessments
CICERO Shades of Green Company Assessments CICERO Shades of Green presents a novel method- ology for climate risk assessment of companies. We WE NEED TO KNOW WHICH COMPANIES ARE explicitly link environmental and financial by assigning POSITIONED FOR THE FUTURE. BY USING a Shade of Green to a company’s revenues and invest- SHADES OF GREEN, IT HAS MADE IT EASIER FOR ments. US TO COMPARE COMPANIES AND UNDERSTAND TRANSITION AND RISK. WITH THE NEW COMPA- The approach includes an assessment of corporate NY ASSESSMENTS, WE GET WHAT WE NEED AS governance and an analysis of likely alignment with the AN INVESTOR IN ORDER TO FINANCE THE EU Taxonomy. The CICERO Shades of Green Compa- TRANSITION. ny Assessments enable the financial sector to include climate risk assessment into investment decisions and METTE CECILIE SKAUG, PORTFOLIO MANAGER, OSLO PENSJONSFORSIKRING track companies’ transition efforts. Shades of Green - our approach The Shades of Green methodology is rooted in CICERO Center for International Climate Research’s climate science and is used to assess climate risk in the financial market. This method is focused on avoiding lock-in of greenhouse gas emissions over the assets’ lifetime and on promoting transparency in resiliency-planning and strategy. CICERO Shades of Green allocates a shade of green, yellow or red (see figure below) to revenues and investments depending on how well they are aligned with a low-carbon, climate resilient future. The Shades of Green assessment also provides investors and lenders with analysis on the likely alignment to the EU Taxonomy, including a review of the do no significant harm (DNSH) criteria and a high-level review of minimum safeguards. -
Advances in the Monitoring of Algal Blooms by Remote Sensing: a Bibliometric Analysis
applied sciences Article Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis Maria-Teresa Sebastiá-Frasquet 1,* , Jesús-A Aguilar-Maldonado 1 , Iván Herrero-Durá 2 , Eduardo Santamaría-del-Ángel 3 , Sergio Morell-Monzó 1 and Javier Estornell 4 1 Instituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, C/Paraninfo, 1, 46730 Grau de Gandia, Spain; [email protected] (J.-A.A.-M.); [email protected] (S.M.-M.) 2 KFB Acoustics Sp. z o. o. Mydlana 7, 51-502 Wrocław, Poland; [email protected] 3 Facultad de Ciencias Marinas, Universidad Autónoma de Baja California, Ensenada 22860, Mexico; [email protected] 4 Geo-Environmental Cartography and Remote Sensing Group, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain; [email protected] * Correspondence: [email protected] Received: 20 September 2020; Accepted: 4 November 2020; Published: 6 November 2020 Abstract: Since remote sensing of ocean colour began in 1978, several ocean-colour sensors have been launched to measure ocean properties. These measures have been applied to study water quality, and they specifically can be used to study algal blooms. Blooms are a natural phenomenon that, due to anthropogenic activities, appear to have increased in frequency, intensity, and geographic distribution. This paper aims to provide a systematic analysis of research on remote sensing of algal blooms during 1999–2019 via bibliometric technique. This study aims to reveal the limitations of current studies to analyse climatic variability effect. A total of 1292 peer-reviewed articles published between January 1999 and December 2019 were collected. -
Color Matters
Color Matters Color plays a vitally important role in the world in which we live. Color can sway thinking, change actions, and cause reactions. It can irritate or soothe your eyes, raise your blood pressure or suppress your appetite. When used in the right ways, color can even save on energy consumption. As a powerful form of communication, color is irreplaceable. Red means "stop" and green means "go." Traffic lights send this universal message. Likewise, the colors used for a product, web site, business card, or logo cause powerful reactions. Color Matters! Basic Color Theory Color theory encompasses a multitude of definitions, concepts and design applications. There are enough to fill several encyclopedias. However, there are basic categories of color theory. They are the color wheel and the color harmony. Color theories create a logical structure for color. For example, if we have an assortment of fruits and vegetables, we can organize them by color and place them on a circle that shows the colors in relation to each other. The Color Wheel A color wheel is traditional in the field of art. Sir Isaac Newton developed the first color wheel in 1666. Since then, scientists and artists have studied a number of variations of this concept. Different opinions of one format of color wheel over another sparks debate. In reality, any color wheel which is logically arranged has merit. 1 The definitions of colors are based on the color wheel. There are primary colors, secondary colors, and tertiary colors. Primary Colors: Red, yellow and blue o In traditional color theory, primary colors are the 3 colors that cannot be mixed or formed by any combination of other colors. -
An Overview of the Seawifs Project and Strategies for Producing a Climate Research Quality Global Ocean Bio-Optical Time Series
ARTICLE IN PRESS Deep-Sea Research II 51 (2004) 5–42 An overview of the SeaWiFS project andstrategies for producing a climate research quality global ocean bio-optical time series Charles R. McClain*, Gene C. Feldman, Stanford B. Hooker Code 970.2, Office for Global Carbon Studies, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA Received1 April 2003; accepted19 November 2003 Abstract The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project Office was formally initiated at the NASA Goddard Space Flight Center in 1990. Seven years later, the sensor was launched by Orbital Sciences Corporation under a data- buy contract to provide 5 years of science quality data for global ocean biogeochemistry research. To date, the SeaWiFS program has greatly exceeded the mission goals established over a decade ago in terms of data quality, data accessibility andusability, ocean community infrastructure development,cost efficiency, andcommunity service. The SeaWiFS Project Office andits collaborators in the scientific community have madesubstantial contributions in the areas of satellite calibration, product validation, near-real time data access, field data collection, protocol development, in situ instrumentation technology, operational data system development, and desktop level-0 to level-3 processing software. One important aspect of the SeaWiFS program is the high level of science community cooperation andparticipation. This article summarizes the key activities andapproaches the SeaWiFS Project Office pursuedto define,achieve, and maintain the mission objectives. These achievements have enabledthe user community to publish a large andgrowing volume of research such as those contributedto this special volume of Deep-Sea Research. Finally, some examples of major geophysical events (oceanic, atmospheric, andterrestrial) capturedby SeaWiFS are presentedto demonstratethe versatility of the sensor. -
Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data
remote sensing Article Derivation of Red Tide Index and Density Using Geostationary Ocean Color Imager (GOCI) Data Min-Sun Lee 1,2, Kyung-Ae Park 2,3,* and Fiorenza Micheli 1,4,5 1 Hopkins Marine Station, Stanford University, Pacific Grove, CA 93950, USA; [email protected] (M.-S.L.); [email protected] (F.M.) 2 Department of Earth Science Education, Seoul National University, Seoul 08826, Korea 3 Research Institute of Oceanography, Seoul National University, Seoul 08826, Korea 4 Department of Biology, Stanford University, Stanford, CA 94305, USA 5 Stanford Center for Ocean Solutions, Stanford University, Pacific Grove, CA 93950, USA * Correspondence: [email protected]; Tel.: +82-2-880-7780 Abstract: Red tide causes significant damage to marine resources such as aquaculture and fisheries in coastal regions. Such red tide events occur globally, across latitudes and ocean ecoregions. Satellite observations can be an effective tool for tracking and investigating red tides and have great potential for informing strategies to minimize their impacts on coastal fisheries. However, previous satellite- based red tide detection algorithms have been mostly conducted over short time scales and within relatively small areas, and have shown significant differences from actual field data, highlighting a need for new, more accurate algorithms to be developed. In this study, we present the newly developed normalized red tide index (NRTI). The NRTI uses Geostationary Ocean Color Imager (GOCI) data to detect red tides by observing in situ spectral characteristics of red tides and sea water using spectroradiometer in the coastal region of Korean Peninsula during severe red tide events. The bimodality of peaks in spectral reflectance with respect to wavelengths has become the basis for developing NRTI, by multiplying the heights of both spectral peaks. -
Planting with a Limited Color Palette It’S Easier to Create Winning Combinations with Simplified Schemes
Planting with a Limited Color Palette It’s easier to create winning combinations with simplified schemes by Tracy DiSabato-Aust HE art of designing a bed or border color, with its seemingly endless choic- palette includes just two or three colors, T can be as engaging to a gardener as es. Suddenly this exciting process can such as analogous colors or one color painting is to an artist. For me, the most become overwhelming. and its complement (see sidebar, p. 44). exhilarating and creative part of garden One way to simplify the design A key advantage of both monochro- design is making dramatic plant combi- process is to reduce the number of matic and limited color schemes is that nations. An outstanding combination in variables. I’ve found that using a limit- they focus attention on the details and a garden thrills me and often sends me ed color palette, even a monochromatic subtleties of a design. Both types em- running for my camera as I yearn for scheme, is an effective and rewarding phasize the structure and rhythm of a just the right light to capture the vision. way to design combinations. planting. Plant form and the texture of But creating these elusive “works of A monochromatic color scheme, leaf, stem, flower, and fruit are more art” with living plants can be compli- which incorporates shades, tints, and easily appreciated. A design that is sim- cated. Form, texture, repetition, bal- tones of a single basic color, such as red ple and cohesive in color also can con- ance, and contrast are just a few key or blue, drastically reduces color com- vey an air of sophistication. -
Remote Sensing of Euphotic Depth in Lake Naivasha
REMOTE SENSING OF EUPHOTIC DEPTH IN LAKE NAIVASHA NOBUHLE PATIENCE MAJOZI February, 2011 SUPERVISORS: Dr. Ir. Mhd, S, Salama Prof. Dr. Ing., W, Verhoef REMOTE SENSING OF EUPHOTIC DEPTH IN LAKE NAIVASHA NOBUHLE PATIENCE MAJOZI Enschede, The Netherlands, February, 2011 Thesis submitted to the Faculty of Geo-Information Science and Earth Observation of the University of Twente in partial fulfilment of the requirements for the degree of Master of Science in Geo-information Science and Earth Observation. Specialization: Water Resources and Environmental Management SUPERVISORS: Dr. Ir. Mhd, S., Salama Prof. Dr. Ing., W., Verhoef THESIS ASSESSMENT BOARD: Dr. Ir., C.M.M., Mannaerts (Chair) Dr, D.M., Harper (External Examiner, Department of Biology - University of Leicester – UK) DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. ABSTRACT Euphotic zone depth is a fundamental measurement of water clarity in water bodies. It is determined by the water constituents like suspended particulate matter, dissolved organic matter, phytoplankton, mineral particles and water molecules, which attenuate solar radiation as it transits down a water column. Primary production is at its maximum within the euphotic zone because there is sufficient Photosynthetically Active Radiation (PAR) for photosynthesis to take place. The study was conducted in Lake Naivasha, Kenya. Rich in biodiversity, it supports a thriving fishery, an intensive flower-growing industry and geothermal power generation, thereby contributing significantly to local and national economic development. -
Satellite Remote Sensing: Ocean Color☆ P Jeremy Werdell and Charles R Mcclain, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Satellite Remote Sensing: Ocean Color☆ P Jeremy Werdell and Charles R McClain, NASA Goddard Space Flight Center, Greenbelt, MD, United States © 2019 Elsevier Ltd. All rights reserved. Introduction 444 Ocean Color Theoretical and Observational Basis 444 Satellite Ocean Color Methodology 446 Sensor Design and Performance 447 Postlaunch Sensor Calibration Stability 449 Atmospheric Correction 449 Bio-optical Algorithms 450 Product Validation 450 Satellite Ocean Color Example Applications 451 Conclusions and Future Directions 454 References 454 Nomenclature Symbol Description (Units) À a Absorption coefficient (m 1) À1 aCDOM Absorption coefficient for colored dissolved organic matter (m ) À1 aNAP Absorption coefficient for nonalgal particles (m ) À1 aph Absorption coefficient for phytoplankton (m ) À1 aw Absorption coefficient for seawater (m ) À1 bb Backscattering coefficient (m ) À1 bb,NAP Backscattering coefficient for nonalgal particles (m ) À1 bb,ph Backscattering coefficient for phytoplankton (m ) À1 bb,w Backscattering coefficient for seawater (m ) À [Chla] Concentration of chlorophyll-a (mg m 3) À2 À1 Ed Downwelling irradiance (mWcm nm ) À2 À1 Eu Upwelling irradiance (mWcm nm ) f Factor that relates R to a and bb (unitless) À2 À1 F0 Solar irradiance (mWcm nm ) À1 Kd Diffuse attenuation coefficient of downwelling irradiance (m ) À1 KLu Diffuse attenuation coefficient of upwelling radiance (m ) À2 À1 À1 La Aerosol radiance (mWcm nm sr ) À2 À1 À1 Lf Foam (white cap) radiance (mWcm nm sr ) À2 À1 À1) Lg Sun glint radiance (mWcm nm sr À2