Influence of Sun Elevation under clear skies Influence of Cloud cover Near-surface radiometric measurements are perturbated by the effect of capillary.

Slides:



Advertisements
Similar presentations
Proposed new uses for the Ceilometer Network
Advertisements

LONG-TERM VARIATION OF VERTICAL TURBULENT DIFFUSIVITY IN THE TROPOSPHERE AND LOWER STRATOSPHERE P. Bencze and S. Cseh Geodetic and Geophysical Research.
Thermohaline structure, processes responsible for its formation and variation in the Gulf of Finland Taavi Liblik Marine Systems Institute at Tallinn University.
Session: mesoscale 16 May th Liège Colloquium Belgium
Biogeochemical Inferences from the Diel Variability of Optical Properties in the NW Mediterranean (BOUSSOLE site) Morvan Barnes Post-Doc Morvan Barnes.
OOI Data QC workshop, June 6-8, 2012, Darling Marine Center, Univ. Maine Data QC for the BOUSSOLE bio-optical time series project (issues, and solutions?)
Boundary Layer Clouds & Sea Spray Steve Siems, Yi (Vivian) Huang, Luke Hande, Mike Manton & Thom Chubb.
Diurnal variability of particulate matter from observations of beam attenuation and backscattering coefficients in the Northwestern Mediterranean sea (BOUSSOLE.
ASLO/TOS Ocean Research Conference 2004, Feb , 2004, Honolulu, Hawaii1/24 Some Peculiarities of Case 1 Waters Optical Properties in the Northwestern.
Atmospheric Correction Algorithm for the GOCI Jae Hyun Ahn* Joo-Hyung Ryu* Young Jae Park* Yu-Hwan Ahn* Im Sang Oh** Korea Ocean Research & Development.
Ocean Optics XXI, Glasgow, Scotland, October 8-12, 2012 David Antoine; André Morel Laboratoire d’Océanographie de Villefranche (LOV), CNRS and Université.
Compatibility between, and Merging of, OC data streams Globcolour first user consultation meeting (Dec. 06, Villefranche-sur-mer) André Morel.
Using a Radiative Transfer Model in Conjunction with UV-MFRSR Irradiance Data for Studying Aerosols in El Paso-Juarez Airshed by Richard Medina Calderón.
A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.
Phytoplankton absorption from ac-9 measurements Julia Uitz Ocean Optics 2004.
Mixed layer depth variability and phytoplankton phenology in the Mediterranean Sea H. Lavigne 1, F. D’Ortenzio 1, M. Ribera d’Alcalà 2, H. Claustre 1 1.Laboratoire.
Copyright © 2014 by Curtis D. Mobley Curtis Mobley Vice President for Science and Senior Scientist Sequoia Scientific, Inc. Belleue, WA 98005
Values from Table m -3. Other values…. Thermal admittance of dry soil ~ 10 2 J m -2 s -1/2 K -1 Thermal admittance of wet saturated soil ~ 10 3 J m -2.
GlobColour CDR Meeting ESRIN July 2006 Merging Algorithm Sensitivity Analysis ACRI-ST/UoP.
Bio-optical Gliders and Profiling floats in the Mediterranean ARGO SCIENCE WORKSHOP – MARCH 13 – 18, 2006 Fabrizio D’Ortenzio 1, Katarzyna Niewiadomska.
Retrieval of phytoplankton size classes from light absorption spectra using a multivariate approach Emanuele O RGANELLI, Annick B RICAUD, David A NTOINE.
2nd MERIS/(A)ATSR User Workshop 22nd to 26th September 2008 ESA/ESRIN Frascati (Rome) Italy Update on validation of MERIS  w ’s at the BOUSSOLE site David.
2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from lectures by: Martin A Montes Rutgers University Institute.
(a) (b) (c) (d) (e) (a)(b) (c)(d) OPTICAL IMPACTS ON SOLAR TRANSMISSION IN COASTAL WATERS Grace C. Chang and Tommy D. Dickey 1 Ocean Physics Laboratory,
Results Sampling Locations Year 2000 LEO-15 site Methods (1) Satlantic, Inc. SeaWiFS Profiling Multichannel Radiometer (SPMR) on the Suitcase package (
To compute the solar radiation flux density at the surface we need to know effects of atmosphere in filtering and depleting the beam from the top of the.
OSMOSIS Primary Production from Seagliders April-September 2013 Victoria Hemsley, Stuart Painter, Adrian Martin, Tim Smyth, Eleanor Frajka-Williams.
Wind Driven Circulation I: Planetary boundary Layer near the sea surface.
Define Current decreases exponentially with depth. At the same time, its direction changes clockwise with depth (The Ekman spiral). we have,. and At the.
Monin-Obukhoff Similarity Theory
The IOCCG Atmospheric Correction Working Group Status Report The Eighth IOCCG Committee Meeting Department of Animal Biology and Genetics University.
Inverting In-Water Reflectance Eric Rehm Darling Marine Center, Maine 30 July 2004.
IOP algorithm OOXX, Anchorage, September 25, 2010 Some (basic) considerations on our capability to derive b bp from AOPs (R and K d ), in situ.
Define Current decreases exponentially with depth and. At the same time, its direction changes clockwise with depth (The Ekman spiral). we have,. and At.
Soe Hlaing *, Alex Gilerson, Samir Ahmed Optical Remote Sensing Laboratory, NOAA-CREST The City College of the City University of New York 1 A Bidirectional.
Norm Nelson, Dave Siegel Institute for Computational Earth System Science, UCSB Bermuda Bio-Optics Project Decade-Plus Perspective on Ocean Color.
SCM 330 Ocean Discovery through Technology Area F GE.
Using in-situ measurements of inherent optical properties to study biogeochemical processes in aquatic systems. Emmanuel Boss Funded by:
Diffuse reflection coefficient or diffuse reflectance of light from water body is an informative part of remote sensing reflectance of light from the ocean.
Optical Measurements & K d values Elizabeth Cox 29 November 2010.
Apparent Optical Properties (AOPs) Curtis D. Mobley University of Maine, 2007 (ref: Light and Water, Chapters 3 & 5)
 Introduction  Surface Albedo  Albedo on different surfaces  Seasonal change in albedo  Aerosol radiative forcing  Spectrometer (measure the surface.
Meteorology & Air Pollution Dr. Wesam Al Madhoun.
ASSESSMENT OF OPTICAL CLOSURE USING THE PLUMES AND BLOOMS IN-SITU OPTICAL DATASET, SANTA BARBARA CHANNEL, CALIFORNIA Tihomir S. Kostadinov, David A. Siegel,
Summary: Within the frame of the TARA expedition, we deployed a Bio-Argo float in the Marquesas plume to investigate and better understand the productivity.
Inverting In-Water Reflectance Eric Rehm Darling Marine Center, Maine 30 July 2004.
BIOCAREX Meeting Villefranche sur mer 24 January 2014
Definition and assessment of a regional Mediterranean Sea ocean colour algorithm for surface chlorophyll Gianluca Volpe National Oceanography Centre, Southampton.
Examples of Closure Between Measurements and HydroLight Predictions Curtis D. Mobley Sequoia Scientific, Inc. Bellevue, Washington Maine 2007.
Identifying 3D Radiative Cloud Effects Using MODIS Visible Reflectance Measurements Amanda Gumber Department of Atmospherics and Oceanic Sciences/CIMSS.
Sediment trap data. Constraining the seasonal particle flux in the eastern North Atlantic with Thorium isotopes M. Roy-Barman (1), R. El Hayek (1), I.
Chelle L. Gentemann & Peter J. Minnett Introduction to the upper ocean thermal structure Diurnal models M-AERI data Examples of diurnal warming Conclusions.
New Fluorescence Algorithms for the MERIS Sensor Yannick Huot and Marcel Babin Laboratoire d’Océanographie de Villefranche Antoine Mangin and Odile Fanton.
Sophia Antipolis, 17 octobre 2003 HELIOSAT-II. What is Heliosat? Raw image Irradiation (energy)
Chapter 3 Radiative transfer processes in the aquatic medium Remote Sensing of Ocean Color Instructor: Dr. Cheng-Chien LiuCheng-Chien Liu Department of.
A semi-analytical ocean color inherent optical property model: approach and application. Tim Smyth, Gerald Moore, Takafumi Hirata and Jim Aiken Plymouth.
Hydrolight Lab: Part 1 July 18th, 2013.
The BOUSSOLE project was initiated in The goal is to establish a long-term time series of in situ bio-optical measurements (including radiometry,
The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt,
Cruise Data: Initial Investigations. Above water radiometry measurements 7/25/2013.
High Resolution Time Series Measurements of Bio-Optical and Physical Variability in the Coastal Ocean as Part of HyCODE Dickey Mooring.
Monitoring Water Chlorophyll-a Concentration (Chl-a) in Lake Dianchi,China from 2003 ~ 2009 by MERIS Data.
The β-spiral Determining absolute velocity from density field
Hydrolight and Ecolight
Absolute calibration of sky radiances, colour indices and O4 DSCDs obtained from MAX-DOAS measurements T. Wagner1, S. Beirle1, S. Dörner1, M. Penning de.
Jian Wang, Ph.D IMCS Rutgers University
Simulation for Case 1 Water
Mark A. Bourassa and Qi Shi
Wei Yang Center for Environmental Remote Sensing
Meteorology & Air Pollution Dr. Wesam Al Madhoun
Presentation transcript:

Influence of Sun Elevation under clear skies Influence of Cloud cover Near-surface radiometric measurements are perturbated by the effect of capillary and gravity waves. This is not compatible with the plane parallel assumption, which assumes a horizontally homogeneous ocean (no horizontal gradient of radiance; see, e.g., Zaneveld et al., 2001) Moored at a fixed position and depth, the BOUSSOLE structure is designed to maximize the stability of the sensors. Time-integration makes it possible to filter out the interface fluctuations. Using the median value reduces the noise due to surface waves. In consequence, reliable determination of the diffuse attenuation coefficients just beneath the surface (at z = 4m and z = 9m) can be performed. VARIABILITY OF THE SURFACE LAYER DIFFUSE ATTENUATION COEFFICIENTS WITH CONSIDERATION OF SOLAR ELEVATION AND ENVIRONNEMENTAL CONDITIONS Pierre Gernez 1,2 and David Antoine 2, 1: ACRI-st, Sophia Antipolis, France, 2: LOV, Quai de la Darse, Villefranche-sur-Mer, France K d seasonal variability Ship measurements of the upward and downward diffuse attenuation coefficients are often performed under a relatively limited range of solar elevations and sea roughness. K d s are usually determined as average values determined over the first 20 or 30 meters, especially in clear waters. Upper-layer (< ~10 meters) radiometric data collected in the Mediterranean Sea on a new type of optics mooring (BOUSSOLE project) are used here to investigate the variability of the diffuse attenuation coefficients in the near surface. The design of the mooring and the measurement protocol indeed allow the perturbation due to the air-sea interface to be filtered out, in order to get near-surface measurements of the downward irradiance. In situ time-series measurements of K d, K u and K Lu are investigated in the surface layer under various illumination and environmental conditions. Under a clear sky, the shape of the circadian variations of these coefficient is strongly correlated with the solar zenith angle, as expected and confirmed by theoretical computations. Variations of the diffuse K-coefficients under overcast skies and at different trophic states (as depicted by the upper-layer chlorophyll concentration) are also discussed in comparison with theoretical computations. Context In Case I waters, e.g. in waters where the IOPs are indexed on the chlorophyll concentration, K d has been statistically linked to the chlorophyll concentration, e.g., Morel and Maritorena, 2001 : with K w is the hypothetical attenuation coefficient for downward irradiance in pure water. In a first order approximation, This K d to Chl relationship explains the seasonal variability in K d. Nevertheless, when considering the K d variability at a finer scale, the relative contribution of phytoplankton and other marine particle is to be taken into account. The variability of external conditions is also important and has to be considered. During the bloom and until mid April, the increase in K d is essentially correlated with the fluorescence pattern (1). Later, the decrease in fluorescence does not result in a corresponding decrease of K d, which is somewhat correlated to the variations in backscattering (2). This probably indicates the presence of detritus. The absence of a Chl-correlated decrease of K d is also probably due to CDOM accumulation. To take into account the influence of sky diffusion and sun elevation, [Gordon, 1989] proposed, for K d computed just beneath the surface, the following relationship: (Corresponding plots of measured K d vs modeled IOPs). Data and method Example of data collected during a 1-min acquisition period for E s and E d (4 and 9 meters) at 412 nm. Dashed lines are the medians of the 360 measurements. Influence of external conditions Conclusions, perspectives High-frequency, near-surface in situ measurements make it possible to investigate the variability in the diffuse attenuation coefficients from the daily to the seasonal scale. The variations of the diffuse attenuation coefficients have been investigated under clear and overcast skies and are coherent with theoretical models. Further analyses are envisaged: Influence of wind and sea roughness on the K d Investigation of the K d to IOPs relationships when using measured IOPs instead of modeled ones. K d variations in the near surface Ocean Optics XVIII, Montreal, October 9-13, 2006 (1)(2) High temporal resolution measurements allows a detailed (unprecedented) description of the influence of the sun elevation. K d from [Morel and Maritorena, 2001] (sun-independent) are represented as dashed lines. Plain curves, from [Morel and Gentili, 2004] (RT computations), are in good agreement with the field determinations. (Chl is about 1 mg.m -3 ) In the opposite of sunny days, the measurements are nearly constant when the sky is totally overcast. References: Gordon, H.R., 1989, Can the Lambert-Beer law be applied to the diffuse coefficient of ocean water? Limnol. Oceanogr., 34, Morel A. and B. Gentili, 2004, Radiation transport within oceanic (case 1) waters. J. Geophys. Res., 109, C06008, / 2003JC Morel A. and S. Maritorena, 2001, Bio-optical properties of oceanic waters: A reappraisal. J. Geophys. Res, 106, Zaneveld, J.R.V., E. Boss and A.H. Barnard, 2001, The influence of surface waves on measured and modeled irradiance profiles. Applied Optics. 40(9): EsEs 4-m E d 9-m E d