Volume Scattering Function and Particle Size Distribution

Slides:

Advertisements

Similar presentations

Backscatter and Chlorophyll Eric Rehm Ocean Optics 2004 Darling Marine Center 16 July 2004.

Advertisements

BIOP – Center for Biomedical Optics and New Laser Systems Light scattering from a single particle Peter E. Andersen Optics and Fluid Dynamics Dept. Risø.

 Technology basics – review  Limitations of LD Technology in general  Limitations of LISST instruments  What can go wrong in data/operations  What.

Statistical properties of Random time series (“noise”)

A novel concept for measuring seawater inherent optical properties in and out of the water Alina Gainusa Bogdan and Emmanuel Boss School of Marine Sciences,

3.3 Toward Statistical Inference. What is statistical inference? Statistical inference is using a fact about a sample to estimate the truth about the.

Overview of LISST data Quantities of interest: C n,z, w f,n Program: u Vertical profiler data with LISST-100 u Bottom boundary layer size distribution.

OS12A-141 Comparison of Monte Carlo Model Predictions with Tank Beam Spread Experiments Using a Maalox Phase Function Obtained with Volume Scattering Function.

Presented At AMS Meeting, Long Beach, CA, 2003 Aerosol Phase Function And Size Distributions From Polar Nephelometer Measurements During The SEAS Experiment.

Stat 321 – Day 24 Point Estimation (cont.). Lab 6 comments Parameter  Population Sample Probability Statistics A statistic is an unbiased estimator for.

The Basics  A population is the entire group on which we would like to have information.  A sample is a smaller group, selected somehow from.

Remote Assessment of Phytoplankton Functional Types Using Retrievals of the Particle Size Distribution from Ocean Color Data Tihomir Kostadinov, David.

The underlying assumption in converting LISST measurements into PSD is that particles are homogeneous spheres. Near-forward light scattering by particles.

Determination of the optical thickness and effective radius from reflected solar radiation measurements David Painemal MPO531.

A P STATISTICS LESSON 2 – 2 STANDARD NORMAL CALCULATIONS.

The link between particle properties (size, packaging, composition, shape, internal structure) and their IOPs. In order for us to be able to use optical.

Using in-situ measurements of inherent optical properties to study biogeochemical processes in aquatic systems. Emmanuel Boss Funded by:

VSF as a proxy for Particle Size Distribution Pauline Stephen.

TEXTURE SYNTHESIS BY NON-PARAMETRIC SAMPLING VIVA-VITAL Nazia Tabassum 27 July 2015.

Backscattering Lab Julia Uitz Pauline Stephen Wayne Slade Eric Rehm.

8 Sampling Distribution of the Mean Chapter8 p Sampling Distributions Population mean and standard deviation,  and   unknown Maximal Likelihood.

Size Distributions Many processes and properties depend on particle size –Fall velocity –Brownian diffusion rate –CCN activity –Light scattering and absorption.

Lecture/Lab: Interaction of light with particles. Mie’s solution.

General single-scatter properties:  e = Extinction cross-section (m 2 /particle): fraction of incident beam that is attenuated (f) times the cross-sectional.

The link between particle properties (size, composition, shape, internal structure) and IOP Emmanuel Boss.

Scattering and attenuation and tracking uncertainties for cal/val.

{ LISST calibration and measurements Aya, Grace, Tom Ocean Optics Summer 2013 Final Project August 2 nd, 2013.

Section 6-3 Estimating a Population Mean: σ Known.

Statistics 1: Introduction to Probability and Statistics Section 3-2.

Sampling Theory and Some Important Sampling Distributions.

Lecture 5 Introduction to Sampling Distributions.

NRL 7333 Rb = 1-  1+  1+  2 Non- Linear b1- b2q3 influences We developed improved SeaWIFS coastal ocean color algorithms to derived inherent optical.

Ciro Bigongiari Monte-Carlo Meeting Bologna April, 2012.

Hydrolight Lab: Part 1 July 18th, 2013.

(A) Future of Radiation Parameterizations in CAM Bill Collins National Center for Atmospheric Research

Forward and Inverse Modeling of Ocean Color Tihomir Kostadinov Maeva Doron Radiative Transfer Theory SMS 598(4) Darling Marine Center, University of Maine,

Lab 4 Scattering. Samples: Platymonas * Chaetoceros * Arizona 'Dust' *Wikipedia Damariscotta River Estuary.

What Are the Implications of Optical Closure Using Measurements from the Two Column Aerosol Project? J.D. Fast 1, L.K. Berg 1, E. Kassianov 1, D. Chand.

Feng Peng and Steven Effler

Sampling Distributions

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

Group Presentation, July 17, 2013

CHAPTER 8 Estimating with Confidence

Using MICE to verify simulation codes?

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

Modeling and Monitoring Approach

Backscatter and Chlorophyll

You need: Pencil Agenda Scrap Paper AP log Math book Calculator

Sampling Distribution

Sampling Distribution

CHAPTER 8 Estimating with Confidence

Estapa, Margaret1; Boss, Emmanuel2; Mayer, Lawrence M

Volume 87, Issue 2, Pages (August 2004)

Neil Gealy Outline What I Learned this Week Research Interests

Statistics 1: Introduction to Probability and Statistics

CHAPTER 8 Estimating with Confidence

Problems with the Run4 Preliminary Phi->KK Analysis

CHAPTER 8 Estimating with Confidence

Sampling Distribution Models

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

Non-parametric Filters: Particle Filters

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence

Results and discussion

Study of Beam Losses and Collimation in JLEIC

Presentation transcript:

Volume Scattering Function and Particle Size Distribution Wilhelmina R. Clavano 30 July 2004 Darling Marine Center

Methodology 06 July 2004, Damariscotta River estuary Coulter counter data triplicate LISST-100 measurement triplicate 30 random sets generated for each with the same statistics as the original triplicates “Weighted” bin centers for Coulter counter D

VSF from LISST-100

PSD derived from LISST

Coulter Counts

VSF from Coulter Counts

Same VSF (in polar, some D) The VSF peaks in forward directions for larger particles.

VSF

PSD

Limitations Mie theory calculations to match LISST angular resolution Particle size distribution derived from LISST dependent on optical properties of sample but less on physiology* Small variations in “input” VSF affect the PSD estimate significantly? Any spectral dependencies, polarization?

Acknowledgments Pauline for tracking the data. Ocean optics class for the measurements. Emmanuel for ideas and the Mie code. Mary Ann for introducing me to L. megalopa.