1. IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Lecture 6 Oceanographic Applications: Ocean Color

2. This lecture includes the following topics: 1. Basic principles of satellite measurements of ocean color; 2. Coastal Zone Color Scanner (CZCS); 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS); 4. MODerate resolution Imaging Spectroradiometer (MODIS); IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations 5. Patterns of phytoplankton distribution in World Ocean obtained from ocean color.

3. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The measurements of ocean color are based on electromagnetic energy of 400-700 nm wavelength. This energy is emitted by the sun, transmitted through the atmosphere and reflected by the earth surface.

4. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The sunlight is not merely reflected from the sea surface. The color of water surface results from sunlight that has entered the ocean, been selectively absorbed, scattered and reflected by phytoplankton and other suspended material in the upper layers, and then backscattered through the surface.

5. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The transparency of clean open ocean water is very high; the upper layer of tens of meters depth contributes to ocean color, this contribution decreasing with depth. Unlike observations in the infrared, where the radiation is emitted from the top 10-100 µm of the sea surface, ocean color radiances in the blue-green can be upwellied from the depth as great as 50 m.

6. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations In turbid coastal waters the depth of the upper layer decreases to few meters and less.

7. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The color of ocean surface depends on the color of the sunlight transmitted through the atmosphere.

8. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The color of water surface is regulated by the color of pure ocean water and the concentrations of different types of particles suspended in the upper water layer. At this aerial photograph you see that in the coastal zone high concentrations of phytoplankton and suspended matter change water color.

9. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Water color depends on chlorophyll concentration, which in turn depends on phytoplankton biomass.

10. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The change of water color is also evident at satellite true-color images.

11. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Phytoplankton cells contain chlorophyll that absorbs other wavelengths and contributes green color to ocean water. In coastal area suspended inorganic matter backscatters sunlight, contributing green, yellow and brown to water color. Clean ocean water absorbs red light, i.e., sun radiation of long wavelength and transmits and scatters the light of short wavelength. That is why ocean surface looks blue.

12. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Higher is phytoplankton (i.e., chlorophyll and other plant pigments) concentration, more is contribution of green color (B). In coastal zones with high concentration of dead organic and inorganic matter light spectrum has maximum in red (C). Thus, color (including water color) can be measured on the basis of the spectrum of visible light emitted from the study object. Clean ocean water (A) has maximum in short (blue) wavelength and almost zero in yellow and red.

13. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The sources of color change in seawater include: Phytoplankton and its pigments Dissolved organic material Colored Dissolved Organic Material (CDOM, or yellow matter, or gelbstoff) is derived from decaying vegetable matter (land) and phytoplankton degraded by grazing of photolysis. Suspended particulate matter The organic particulates (detritus) consist of phytoplankton and zooplankton cell fragments and zooplankton fecal pellets. The inorganic particulates consist of sand and dust created by erosion of land-based rocks and soils. These enter the ocean through: River runoff. Deposition of wind-blown dust. Wave or current suspension of bottom sediments.

14. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Both CDOM and particulates absorb sunlight strongly in the blue waveband, yielding a brownish yellow color to the water.

15. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations In case 2 waters, other substances that do not co-vary with Chl-a (such as suspended sediments, organic particles, and CDOM) are dominant. Even though case 2 waters occupy a smaller area of the world ocean than case 1 waters, because they occur in coastal regions with large river runoff and high densities of human activities such as fisheries, recreation and shipping, they are equally important. Given the density of dissolved and suspended material, Morel and Prieur (1977) divide the ocean into case 1 and case 2 waters. In case 1 waters, phytoplankton pigments and their co-varying detrital pigments dominate the seawater optical properties.

16. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations For most regions of the world, the color of the ocean is determined primarily by the abundance of phytoplankton and associated photosynthetic pigments.

17. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Different wavelengths are important to observe CDOM, chlorophyll and fluorescence. Chlorophyll absorption peak is at 443 nm; CDOM-dominated wavelength is at 410 nm; Measurements must also be made in the 500-550 nm range where the chlorophyll absorption is zero and the absorption of other plant pigments (I.e., carotenoids) dominate. Fluorescence requires observations in the vicinity of 683-nm peak. The subsurface reflectance R(λ) depends on backscattering b(λ) and absorption a(λ) of different compounds. R(λ) = G b(λ) / a(λ) Where G is a constant that depends on the incident light field.

18. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Sunlight backscattered by the atmosphere contributes 80-90% of the radiance measured by a satellite sensor at visible wavelengths. Such scattering arises from dust particles and other aerosols, and from molecular (Rayleigh) scattering. However, the atmospheric contribution can be calculated and removed if additional measurements are made in the red and near-infrared spectral regions (e.g., 670 and 750 nm). Since blue ocean water reflects very little radiation at these longer wavelengths, the radiance measured is due almost entirely to scattering by the atmosphere. Long- wavelength measurements, combined with the predictions of models of atmospheric properties, can therefore be used to remove the contribution to the signal from aerosol and molecular scattering.

19. 1. Basic principles of satellite measurements of ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations First step of atmospheric correction is cloud detection, based on a threshold in the near-infrared waveband. The algorithms of atmospheric correction estimate the contribution to the signal: Ozone The distribution of ozone is determined by Total Ozone Mapping Spectrometer (TOMS) instrument on the Earthprobe satellite and similat instrument on EOS-AURA satellite launched in 2004 Sun glint Is a function of sun angle and wind speed Foam Also depends on wind speed and to less extent of sun angle Rayleigh path radiances (I.e., scattering by air molecules) Aerosol path radiances (most complex part of the algorithm) Based on “black pixel” assumption Diffuse transmittance Estimates signal contamination from land and ice

20. IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Three water color sensors are of great significance for oceanography: MODIS = Moderate Resolution Imaging Spectroradiometer Terra Satellite launched December 18th, 1999 Aqua satellite launched May 4th, 2002. SeaWiFS = Sea-viewing Wide Field-of-view Sensor (since 1997) CZCS = Coastal Zone Color Scanner (1978 - 1986)

21. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The Coastal Zone Color Scanner (CZCS), was a multi- spectral line scanner developed by NASA to measure ocean color as a means of determining chlorophyll concentrations and the distributions of particulate matter and dissolved substances.

22. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations CZCS was launched aboard Nimbus-7 satellite platform in October 1978. Due to the power demands of the various on- board experiments the CZCS operated on an intermittent schedule. The infra- red/temperature sensor (channel 6 - 10.5- 12.5 microns) failed within the first year. Nominal orbit parameters for the Nimbus-7 spacecraft are: Launch date10/24/1978 OrbitSun-synchronous, near polar Nominal Altitude (km)955 Inclination (deg)104.9 Nodal Period (min.)104 Equator Crossing Time1200 noon (ascending) Nodal Increment (deg)26.1

23. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The following lists the sensor's channels and the primary purpose of each: Reflected solar energy was measured in 5 channels: 1433-453 nm (blue)chlorophyll absorption 2510-530 nm (green)chlorophyll concentration 3 540-560 nm (yellow)Gelbstoffe concentration 4660-680 nm (red)aerosol absorption 5700-800 nm (far red)land and cloud detection Infrared radiation was measured in one channel: 610.5-12.5 microns (infra-red) surface temperature

24. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The CZCS had a scan width of 1556 km centered on nadir and the ground resolution was 0.825 km at nadir. The scenes (images) obtained by CZCS are partial orbital swaths. In one two-minute data segment, the CZCS covers approximately 1.3 million square kilometers of the ocean surface. CZCS collected about 60,000 images.

25. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Each scan of the CZCS viewed the Earth for approximately 27.5 microseconds. During this period, each channel of the analog data output was digitized to obtain a total of about 2000 samples. Successive scans occur at the rate of 8 per second. The archive of CZCS data products began with November 2, 1978 and continued until June 22, l986. However, there are several periods of intermittent coverage. When operating full time, approximately 400 images were collected each month.

26. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Level 1 data were processed to Level 2 – surface plant pigment concentrations. These Level 2 data were compiled onto daily, weekly and monthly mosaics (Level 3 data). Each Level 3 file is a fixed, linear latitude- longitude (equal angle) grid of dimension 1024 (latitude) x 2048 (longitude) with ~18.5 km resolution at the equator. Daily and weekly composites contain too few information to obtain a realistic global pattern of plant pigment distribution.

27. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). November 1978

28. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). December 1978

29. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). January 1979

30. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). February 1979

31. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). March 1979

32. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). April 1979

33. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). May 1979

34. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). June 1979

35. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). July 1979

36. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). August 1979

37. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). September 1979

38. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). October 1979

39. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). November 1979

40. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Monthly Level 3 composites provide realistic patterns of phytoplankton concentration during 7.5 years (from November 1978 to June 1986). December 1979

41. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations This image shows total surface plant pigment concentration in the World Ocean averaged over the entire period of observations (November 1978 – June 1986).

42. 2. Coastal Zone Color Scanner (CZCS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Access to CZCS data: CZCS data can be obtained from the website ftp://disc1.gsfc.nasa.gov/data/czcs/ It contains: Level 1A GAC data; Level 2 browse data (chlorophyll concentration); GAC data Level 3 Monthly data Level 1 data can be ordered from the website http://daac.gsfc.nasa.gov/data/datapool/CZCS/index.html

43. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The SeaWiFS program was started in 1980s, immediately after the end of the CZCS mission. The launch of the satellite was first planned on 1993, but the spacecraft was launched in 1997. The SeaWiFS radiometer and the OrbView-2 spacecraft were developed by ORBIMAGE Corporation in cooperation with NASA.

44. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations OrbView-2 satellite was launched to low Earth orbit on board an extended Pegasus launch vehicle on August 1, 1997.

45. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Orbit TypeSun Synchronous Altitude705 km Equator CrossingNoon +20 min descending Orbital Period99 minutes Swath Width2,801 km LAC/HRPT (58.3 degrees) 1,502 km GAC (45 degrees) Spatial Resolution1.1 km LAC, 4.5 km GAC Mission Characteristics

46. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations The swaths overlap in high latitudes and are separated in low latitudes. Thus, each location of the ocean is observed every other day.

47. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Orbit determination is provided by on-board Global Positioning System (GPS) receivers. The GPS receivers yield 100 m position accuracy (after ground postprocessing). The OrbView-2 spacecraft navigation is a self- contained system, with complete information about the attitude of the spacecraft and its orbital position integrated into the downlinked data stream.

48. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Instrument Bands BandWavelength 1402-422 nm 2433-453 nm 3480-500 nm 4500-520 nm 5545-565 nm 6660-680 nm 7745-785 nm 8845-885 nm

49. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations >130 (at April 2004) receiving stations receive Local Area Coverage (LAC) data from SeaWiFS and provide high-resolution (1 km) images to NASA Goddard Space Flight Center (GSFC) in Maryland. Global Area Coverage (GAC) data transmitted directly to GSFC have lower (4 km) resolution.

50. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations There is an embargo period of 2 weeks from collection for general distribution of data to research users to protect ORBIMAGE's commercial interest. Access to the data is permitted for research purposes by authorized users.

51. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Level 1A data products contain raw radiance counts from all bands as well as spacecraft and instrument telemetry and calibration and navigation data. Each Level-1A product is stored as one physical HDF file. Each data file has Browse file which contains a simplified image. Browsing the files in GSFC Distributed Active Archive Center (DAAC) online database the user can select the files he/she needs, order them and download from FTP. Level 2 data (geophysical parameters) can be obtained from Level 1 data using software SeaDAS.

52. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations SeaDAS (SeaWiFS Data Analysis System) is a free software for UNIX or LINUX machines. To produce Level 2 data from Level 1 the user needs also ancillary (meteorological and ozone) data, which he/she can order at GSFC DAAC. Meteorological data are produced by National Center for Environmental Prediction (NCEP) at 1-degree global grids every 6 hours. Each HDF file contains: meridional wind, zonal wind, atmospheric pressure, relative humidity and precipitable water. Ozone data are produced at GSFC from satellite observations (EPTOMS and TOVS satellites). In the absence of actual meteorological and ozone data the user can use climatological data provided with SeaDAS.

53. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Using SeaDAS Level 1 data (raw radiances) can be processed to Level 2 (chlorophyll concentration, etc.).

54. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Global Area Coverage (GAC) data are sub-sampled from full-resolution data with every fourth pixel of a scan line and every fourth scan line being recorded for each swath. Level 1 GAC data are orbital swaths. Most useful Level 2 GAC data are produced at GSFC and can be ordered by users.

55. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Level 3 data produced from Level 2 data as daily, weekly and monthly global grids of 2048x4096 pixels size. Spatial resolution is about 9 km.

56. 3. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Normalized Digital Vegetation Index (NDVI) can be computed from SeaWiFS observations as (L(865)-L(670))/(L(865)+L(670)) where L is the total radiance less the Rayleigh radiance. At this image NDVI over land is combined with chlorophyll concentration over sea.

57. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations MODIS is an abbreviation of MODerate Resolution Imaging Spectroradiometer. Two MODIS sensors are collecting information onboard satellites: Terra (EOS AM-1) was launched by NASA December 18 1999 Aqua (EOS PM-1) was launched May 4 2002

58. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Both satellites have sun-synchronous near-polar orbit. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning (10:30 a.m., descending node), while Aqua passes south to north over the equator in the afternoon (1:30 p.m., ascending node).

59. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Both radiometers acquire data in 36 spectral bands from 0.4 µm to 14.4 µm. Two bands are imaged at a nominal resolution of 250 m at nadir, with five bands at 500 m, and the remaining 29 bands at 1 km. A ±55-degree scanning pattern at the orbit of 705 km achieves a 2,330-km swath and provides global coverage every one to two days.

60. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations MODIS data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. The three basic types of MODIS ocean data products are ocean color, sea surface temperature, and ocean primary production. In contrast to SeaWiFS, all MODIS data including high-resolution (1 km) data are processed to Level 2. Each "granule" (I.e., data file) represents 5 minutes of the satellite viewing. The ocean color products are only collected during the day, resulting in 144 granules per day. The sea surface temperature products are collected both day and night, resulting in 288 granules per day. Pixels have 1 km spatial resolution. There are 1354 pixels across the granule, and 2030 pixels down the granule. Thirty-six ocean color parameters and four sea surface temperature parameters are available.

61. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations There are also thirty-five quality control (QC) parameters which are inputs to the ocean algorithms and atmospheric correction (e.g., meteorological data, radiance data, brightness temperatures). The QC files also contain latitude and longitude for each pixel. Typical QC is from 0 to 3, I.e. from “good” to “bad” quality. At this image the chlorophyll data with QC >1 are shown black. Level 2 granule MODIS Chlorophyll) - Florida, Bahamas, Cuba - October 29, 2000

62. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations Level 2 data include: Normalized Water-leaving Radiance on 412, 443, 488, 531, 551, 661, and 678 nm; Atmospheric parameters (e.g., Aerosol optical thickness at 865 nm); Chlorophyll concentration estimated by different algorithms; Total photosynthetic pigment concentration; Chlorophyll fluorescence; Total suspended matter concentration; Coccolithophore concentration; Concentrations of photosynthetic pigments (phycoerythrobilin, phycourobilin); Photosynthetically available radiation (PAR); Gelbstoff absorption coefficient; Sea Surface Temperature; etc.

63. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations MODIS data also include Level 3 and Level 4 products, represented at global grids of 4096x8192 size, which corresponds to 4.5 km resolution. Normalized Water-leaving Radiance at 443 nm - March 6 - 13, 2001

64. 4. MODIS IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations MODIS data also include Level 3 and Level 4 products, represented at global grids of 4096x8192 size, which corresponds to 4.5 km resolution. Semi-analytic Weekly Primary Productivity Index Behrenfeld-Falkowski Model March 6 - 13, 2001

65. 5. Patterns of phytoplankton distribution in World Ocean obtained from ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations CZCS, SeaWiFS and MODIS data revealed general pattern of phytoplankton biomass distribution in the World Ocean.

66. 5. Patterns of phytoplankton distribution in World Ocean obtained from ocean color IoE 184 - The Basics of Satellite Oceanography. 6. Oceanographic Applications: Ocean color observations At the next lecture we will speak about estimations of primary production of the ocean made on the basis of satellite data, and El Nino event off California. Seasonal cycles of phytoplankton, Mesoscale variability in the ocean,