# Retrieval of cloud spherical albedo from top-of-atmosphere reflectance measurements performed at a single observation angle

Save this PDF as:

Size: px
Start display at page:

Download "Retrieval of cloud spherical albedo from top-of-atmosphere reflectance measurements performed at a single observation angle"

## Transcription

2 3634 A. Kokhanovsky et al.: Retrieval of cloud 0.9 November 26, 2004 ice cloud normalized transmittance nm Latitude 53.05N Longitude 8.78E 8:29UTC, 12.5 degrees 8:34UTC, degrees approximation cosine of observation zenith angle Fig. 1. The cloud transmittance divided by its value at the zenith. Measurements have been performed under crystalline optically thick precipitating cloud conditions in Bremen (northern Germany) on 24 November Only results for the principal plane measurements at the wavelength 870 nm are shown. Solar zenith angles were 12.5 (08:29 UTC) and (08:34 UTC) degrees, respectively. The field of view was 1.2. The escape function K (ξ) in Eq. (2) is almost insensitive to the shape/size of scatterers (Kokhanovsky, 2003) and can be approximated as follows: K (ξ) = 3 (1 + 2ξ). (3) 7 Such a simple form is due to the fact that this function describes the angular distribution of photons escaping from a semi-infinite nonabsorbing media with sources located deep inside the medium. Therefore, multiple light scattering washes out almost all features characteristic for a single scattering law (at least for ξ, which is a standard case for most cloud remote sensing problems). To check the theoretical result as shown in Eq. (3), we have performed measurements of the angular distribution of light transmitted by a cloud in the principal plane using Automatic Sun Tracking Photometer CE318. The details of the instrument are given at The cloud was composed of precipitating ice crystals. Results of measurements are given in Fig. 1. Indeed, we see that measurements nicely follow the cosine law as predicted by Eq. (3). The broken line corresponds to the value of the escape function given by Eq. (3) divided by K(1)=9/7. Substituting Eq. (3) in Eq. (2), we get: r = 1 49 (R (ξ, η, ϕ) R (ξ, η, ϕ)), (4) 9 (1 + 2ξ) (1 + 2η) where R (ξ, η, ϕ) must be obtained from measurements and R (ξ, η, ϕ) is given either in a correspondent look-up-table true optical thickness Fig. 2. Spherical albedo calculated using exact radiative transfer code (solid line) and also obtained using approximate Eq. (2) for several solar zenith angles (0, 30, 45, and 60 ) as function of cloud optical thickness. or by an approximation (Kokhanovsky, 2006). In particular, the following approximation for R at η = 1 in the case of water clouds can be used (Kokhanovsky, 2006): R = ξ 1 + ξ + p (π arccosξ). (5) 4(1 + ξ) Here, p (π arccosξ) is the cloud phase function. The accuracy of Eq. (4) is shown in Fig. 2. The spherical albedo for solar zenith angles 0, 30, 45, and 60 was obtained using the numerical solution of the radiative transfer equation in the framework of libradtran package (Kylling and Mayer, 2005) for different cloud optical thicknesses τ in the range (solid line in Fig. 2). Calculations were performed at the wavelength 650 nm for the gamma droplet size distribution with the effective radius 6 µm and the coefficient of variance equal to Effects of light absorption were neglected. Broken lines give calculations of r using Eq. (4) with R (ξ, η, ϕ) and R (ξ, η, ϕ) obtained from libradtran. It follows that there is dependence of r on the solar zenith angle at τ 10. This means that Eq. (2) is not suitable for the case of thin clouds. However, for thicker clouds solid and broken lines almost coincide (see Fig. 2). This confirms the Atmos. Chem. Phys., 7, , 2007

4 3636 A. Kokhanovsky et al.: Retrieval of cloud row column Fig. 4. The spatial distribution of the. frequency Fig. 5. The histogram. 4 The application of the technique to satellite data We applied the technique described above for studies of the of Hurricane Kathrina using top-ofatmosphere reflectance measurements of MODIS on Terra satellite. Hurricane Katrina has originated as a Tropical Depression on 23 August 2005 at (23.2 N, 75.5 W). Hurricane has propagated initially to north-west, then to west and finally to north and then to north-east (after landfall in New Orlean). The retrieved map for 28 August 2005 (17:00 UTC) is shown in Fig. 4. MODIS measurements at 645 nm with the spatial resolution 1 km were used for the creation of this map. Therefore, the spatial scale on the map shown in Fig. 4 corresponds to 1 km. The cloud spherical albedo retrieval is based on Eq. (2) with R (ξ, η, ϕ) found for a special case of crystalline clouds as described by Kokhanovsky (2005). This is due to the fact that tops of hurricanes are covered by ice clouds. We see that Katrina occupies the huge area of approximately km 2. At this date Katrina was classified as Hurricane category 5 with winds 175 mph and a minimum pressure of 902 mbar. The next day Kathrina was downgraded to Category 4 hurricane and made a landfall in New Orlean. It follows that hurricane, as one might expect, is characterized by quite large values of the (larger than 0.9 for the central part of a hurricane). The spherical albedo in an eye is somewhat smaller (around 0.7 ). It means that an eye is occupied by quite thick clouds in the case considered. The histogram of cloud is shown in Fig. 4. Colors in Figs. 4 and 5 have the same meaning. So we conclude that the of a hurricane is larger than for most of 1 1 km 2 pixels studied. Blue color corresponds to relatively thin clouds on the periphery of the cloud system. Here broken cloud conditions not accounted in the theory described above can influence retrievals considerably. 5 Conclusions We propose here a simple analytical result (see Eq. 4), which can be used for the determination of cloud in the visible from top-of-atmosphere reflectance measurements (at a single viewing geometry). The error is smaller than 3 percent at cloud optical thicknesses larger than 10. Therefore, the error is smaller than the correspondent calibration errors of optical instruments currently orbiting the planet. The procedure described above does not require a priori knowledge of the cloud optical thickness and the effective radius of scatterers and valid for the case of optically thick clouds. The map and also the frequency of occurrence of r for Hurricane Katrina were studied. It was found that the most frequent value of is around 0.9 for Category 5 Hurricane Katrina with the largest fraction of clouds with albedos in the range Our findings confirm that hurricanes are strong reflectors of visible radiation back to space. This could have important climatic effects taking into account the increased frequency of strong hurricanes in recent years. Atmos. Chem. Phys., 7, , 2007

5 A. Kokhanovsky et al.: Retrieval of cloud 3637 References Diner, D. J., Braswell, B. H., Davies, R., Gobron, N., Hu, J., Jin, Y., Kahn, R. A., Knyazikhin, Y., Loeb, N., Muller, J.-P., Nolin, A. W., Pinty, B., Schaaf, C. B., Seiz, G., and Stroeve, J.: The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces, Rem. Sens. Environ., 97, , King, M. D., S. Platnick, P. Yang, G. T. Arnold, M. A. Gray, J. C. Riedi, S. A. Ackerman, and K. N. Liou: Remote sensing of liquid water and ice cloud optical thickness and effective radius in the Arctic: Application of airborne multispectral MAS data. J. Atmos. Oceanic Technol., 21, , Kokhanovsky, A. A., Rozanov, V. V., Zege, E. P., Bovensmann, H., and Burrows, J. P.: A semianalytical cloud retrieval algorithm using backscattered radiation in 2.4 µm spectral band, J. Geophys. Res., 108, 4008, doi: /2001jd001543, Kokhanovsky, A. A.: Reflection of light from particulate media with irregularly shaped particles, J. Quant. Spectr. Rad. Transfer, 96, 1 10, Kokhanovsky, A. A.: Cloud optics, Berlin, Springer, Kylling, A. and Mayer, B.: Technical note: The libradtransoftware package for radiative transfer calculations description and examples of use, Atmos. Chem. Phys., 5, , 2005, Pilewskie, P., Pommier, J., Bergstrom, R., Gore, W., Howard, S., M. Rabbette, Schmid, B. Hobbs, P. V., and Tsay, S. C.: Solar spectral radiative forcing during the Southern African Regional Science Initiative, J. Geophys. Res., 108(D13), 8486, doi: /2002jd002411, van de Hulst, H. C.: Multiple light scattering, N.Y., Academic Press, Atmos. Chem. Phys., 7, , 2007

### IMPACT OF DRIZZLE AND 3D CLOUD STRUCTURE ON REMOTE SENSING OF CLOUD EFFECTIVE RADIUS

IMPACT OF DRIZZLE AND 3D CLOUD STRUCTURE ON REMOTE SENSING OF CLOUD EFFECTIVE RADIUS Tobias Zinner 1, Gala Wind 2, Steven Platnick 2, Andy Ackerman 3 1 Deutsches Zentrum für Luft- und Raumfahrt (DLR) Oberpfaffenhofen,

### Passive Remote Sensing of Clouds from Airborne Platforms

Passive Remote Sensing of Clouds from Airborne Platforms Why airborne measurements? My instrument: the Solar Spectral Flux Radiometer (SSFR) Some spectrometry/radiometry basics How can we infer cloud properties

### The study of cloud and aerosol properties during CalNex using newly developed spectral methods

The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt, Peter Pilewskie University of Colorado, ATOC/LASP

### Evaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius

Evaluation of the Effect of Upper-Level Cirrus Clouds on Satellite Retrievals of Low-Level Cloud Droplet Effective Radius F.-L. Chang and Z. Li Earth System Science Interdisciplinary Center University

### Remote Sensing of Clouds from Polarization

Remote Sensing of Clouds from Polarization What polarization can tell us about clouds... and what not? J. Riedi Laboratoire d'optique Atmosphérique University of Science and Technology Lille / CNRS FRANCE

### Cloud Oxygen Pressure Algorithm for POLDER-2

Cloud Oxygen ressure Algorithm for OLDER-2 1/7 Cloud Oxygen ressure Algorithm for OLDER-2 Aim of the : Determination of cloud gen pressure from arent pressure by removing the contribution. Date of the

### Cloud detection and clearing for the MOPITT instrument

Cloud detection and clearing for the MOPITT instrument Juying Warner, John Gille, David P. Edwards and Paul Bailey National Center for Atmospheric Research, Boulder, Colorado ABSTRACT The Measurement Of

### Multiangle cloud remote sensing from

Multiangle cloud remote sensing from POLDER3/PARASOL Cloud phase, optical thickness and albedo F. Parol, J. Riedi, S. Zeng, C. Vanbauce, N. Ferlay, F. Thieuleux, L.C. Labonnote and C. Cornet Laboratoire

### P1.24 USE OF ACTIVE REMOTE SENSORS TO IMPROVE THE ACCURACY OF CLOUD TOP HEIGHTS DERIVED FROM THERMAL SATELLITE OBSERVATIONS

P1.24 USE OF ACTIVE REMOTE SENSORS TO IMPROVE THE ACCURACY OF CLOUD TOP HEIGHTS DERIVED FROM THERMAL SATELLITE OBSERVATIONS Chris R. Yost* Patrick Minnis NASA Langley Research Center, Hampton, Virginia

### Total radiative heating/cooling rates.

Lecture. Total radiative heating/cooling rates. Objectives:. Solar heating rates.. Total radiative heating/cooling rates in a cloudy atmosphere.. Total radiative heating/cooling rates in different aerosol-laden

### REMOTE SENSING OF INHOMOGENEOUS CLOUDS WITH MSG/SEVIRI

1 REMOTE SENSING OF INHOMOGENEOUS CLOUDS WITH MSG/SEVIRI Tobias Zinner, Luca Bugliaro, and Bernhard Mayer Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, 82234 Weßling, Germany ABSTRACT

### Global ship track distribution and radiative forcing from 1 year of AATSR data

Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L17814, doi:10.1029/2007gl030664, 2007 Global ship track distribution and radiative forcing from 1 year of AATSR data Mathias Schreier,

### Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective Particle Radius, and Thermodynamic Phase

Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective Particle Radius, and Thermodynamic Phase MICHAEL D. KING 1 AND SI-CHEE TSAY 2 NASA Goddard Space Flight Center Greenbelt, Maryland 20771

### Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data

Use of ARM/NSA Data to Validate and Improve the Remote Sensing Retrieval of Cloud and Surface Properties in the Arctic from AVHRR Data X. Xiong QSS Group, Inc. National Oceanic and Atmospheric Administration

### REMOTE SENSING OF CLOUD ALBEDO FROM BACKSCATTERED SUNLIGHT IN CLOUDY ATMOSPHERE

REMOTE SENSING OF CLOUD ALBEDO FROM BACKSCATTERED SUNLIGHT IN CLOUDY ATMOSPHERE A. Hünerbein, R. Preusker and J. Fischer Freie Universität Berlin, Institut für Weltraumwissenschaften Carl-Heinrich-Becker-Weg

### An Airborne A-Band Spectrometer for Remote Sensing Of Aerosol and Cloud Optical Properties

An Airborne A-Band Spectrometer for Remote Sensing Of Aerosol and Cloud Optical Properties Michael Pitts, Chris Hostetler, Lamont Poole, Carl Holden, and Didier Rault NASA Langley Research Center, MS 435,

### Remote Sensing of Cloud Properties from the Communication, Ocean and Meteorological Satellite (COMS) Imagery

Remote Sensing of Cloud Properties from the Communication, Ocean and Meteorological Satellite (COMS) Imagery Choi, Yong-Sang, 1 Chang-Hoi Ho, 1 Myoung-Hwan Ahn, and Young-Mi Kim 1 1 School of Earth and

### A. Ehrlich et al. Detailed Replies C13026

Atmos. Chem. Phys. Discuss., 11, C13026 C13047, 2011 www.atmos-chem-phys-discuss.net/11/c13026/2011/ Author(s) 2011. This work is distributed under the Creative Commons Attribute 3.0 License. Atmospheric

### A review of cloud top height and optical depth histograms from MISR, ISCCP, and MODIS

JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 115,, doi:10.1029/2009jd013422, 2010 A review of cloud top height and optical depth histograms from MISR, ISCCP, and MODIS Roger Marchand, 1 Thomas Ackerman, 1 Mike

### Technical note on MISR Cloud-Top-Height Optical-depth (CTH-OD) joint histogram product

Technical note on MISR Cloud-Top-Height Optical-depth (CTH-OD) joint histogram product 1. Intend of this document and POC 1.a) General purpose The MISR CTH-OD product contains 2D histograms (joint distributions)

### Electromagnetic Radiation (EMR) and Remote Sensing

Electromagnetic Radiation (EMR) and Remote Sensing 1 Atmosphere Anything missing in between? Electromagnetic Radiation (EMR) is radiated by atomic particles at the source (the Sun), propagates through

### Cloud vegetation interaction: use of Normalized Difference Cloud Index for estimation of cloud optical thickness

Cloud vegetation interaction: use of Normalized Difference Cloud Index for estimation of cloud optical thickness A. Marshak, Y. Knyazikhin, A. Davis, W. Wiscombe, and P. Pilewskie NASA GSFC, Code 913,

### Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer

Assessing Cloud Spatial and Vertical Distribution with Infrared Cloud Analyzer I. Genkova and C. N. Long Pacific Northwest National Laboratory Richland, Washington T. Besnard ATMOS SARL Le Mans, France

### Broadband and Spectral Shortwave Calibration Results from ARESE II

Broadband and Spectral Shortwave Calibration Results from ARESE II Introduction J. J. Michalsky, P. W. Kiedron, and J. L. Berndt State University of New York Albany, New York T. L. Stoffel, D. Myers, I.

### Inter-comparison of ground-based radar and satellite cloud-top height retrievals for. overcast single-layered cloud fields.

1 Inter-comparison of ground-based radar and satellite cloud-top height retrievals for overcast single-layered cloud fields A. A. Kokhanovsky 1 2 3, C. M. Naud, A. Devasthale 1 Institute of Environmental

### Cloud Climatology for New Zealand and Implications for Radiation Fields

Cloud Climatology for New Zealand and Implications for Radiation Fields G. Pfister, R.L. McKenzie, J.B. Liley, A. Thomas National Institute of Water and Atmospheric Research, Lauder, New Zealand M.J. Uddstrom

### The Effect of Droplet Size Distribution on the Determination of Cloud Droplet Effective Radius

Eleventh ARM Science Team Meeting Proceedings, Atlanta, Georgia, March 9-, The Effect of Droplet Size Distribution on the Determination of Cloud Droplet Effective Radius F.-L. Chang and Z. Li ESSIC/Department

### Remote Sensing of Contrails and Aircraft Altered Cirrus Clouds

Remote Sensing of Contrails and Aircraft Altered Cirrus Clouds R. Palikonda 1, P. Minnis 2, L. Nguyen 1, D. P. Garber 1, W. L. Smith, r. 1, D. F. Young 2 1 Analytical Services and Materials, Inc. Hampton,

### REMOTE SENSING OF CLOUD-AEROSOL RADIATIVE EFFECTS FROM SATELLITE DATA: A CASE STUDY OVER THE SOUTH OF PORTUGAL

REMOTE SENSING OF CLOUD-AEROSOL RADIATIVE EFFECTS FROM SATELLITE DATA: A CASE STUDY OVER THE SOUTH OF PORTUGAL D. Santos (1), M. J. Costa (1,2), D. Bortoli (1,3) and A. M. Silva (1,2) (1) Évora Geophysics

### Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon

Supporting Online Material for Koren et al. Measurement of the effect of biomass burning aerosol on inhibition of cloud formation over the Amazon 1. MODIS new cloud detection algorithm The operational

### Clouds and the Energy Cycle

August 1999 NF-207 The Earth Science Enterprise Series These articles discuss Earth's many dynamic processes and their interactions Clouds and the Energy Cycle he study of clouds, where they occur, and

### Properties of Radiation

Properties of Radiation Lecture outline Flux and intensity Solid angle and the steradian Inverse square law Global insolation Interaction of radiation with matter Flux or Flux density Flux (or flux density),

### VIIRS-CrIS mapping. NWP SAF AAPP VIIRS-CrIS Mapping

NWP SAF AAPP VIIRS-CrIS Mapping This documentation was developed within the context of the EUMETSAT Satellite Application Facility on Numerical Weather Prediction (NWP SAF), under the Cooperation Agreement

### Validating MOPITT Cloud Detection Techniques with MAS Images

Validating MOPITT Cloud Detection Techniques with MAS Images Daniel Ziskin, Juying Warner, Paul Bailey, John Gille National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307 ABSTRACT The

### Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D

Studying cloud properties from space using sounder data: A preparatory study for INSAT-3D Munn V. Shukla and P. K. Thapliyal Atmospheric Sciences Division Atmospheric and Oceanic Sciences Group Space Applications

### 16 th IOCCG Committee annual meeting. Plymouth, UK 15 17 February 2011. mission: Present status and near future

16 th IOCCG Committee annual meeting Plymouth, UK 15 17 February 2011 The Meteor 3M Mt satellite mission: Present status and near future plans MISSION AIMS Satellites of the series METEOR M M are purposed

### Solar Radiation Calculation

Solar Radiation Calculation Dr. Mohamad Kharseh E-mail: kharseh@qu.edu.qa mohkh3@hotmail.com 1 Solar Constant Solar Constant is the intensity of the solar radiation hitting one square meter of the Earth

### Radiation models for the evaluation of the UV radiation at the ground

Radiation models for the evaluation of the UV radiation at the ground Peter Koepke UV-Group Meteorological Institute Munich Ludwig-Maximilians-University Peter.Koepke@lmu.de www. jostjahn. de Natural UV

### E ect of remote clouds on surface UV irradiance

Ann. Geophysicae 18, 679±686 (2000) Ó EGS ± Springer-Verlag 2000 E ect of remote clouds on surface UV irradiance M. DeguÈ nther, R. MeerkoÈ tter Deutsches Zentrum fuè r Luft- und Raumfahrt (DLR), Institut

### Treasure Hunt. Lecture 2 How does Light Interact with the Environment? EMR Principles and Properties. EMR and Remote Sensing

Lecture 2 How does Light Interact with the Environment? Treasure Hunt Find and scan all 11 QR codes Choose one to watch / read in detail Post the key points as a reaction to http://www.scoop.it/t/env202-502-w2

### The Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates

The Next Generation Flux Analysis: Adding Clear-Sky LW and LW Cloud Effects, Cloud Optical Depths, and Improved Sky Cover Estimates C. N. Long Pacific Northwest National Laboratory Richland, Washington

### Evaluation of VIIRS cloud top property climate data records and their potential improvement with CrIS

Evaluation of VIIRS cloud top property climate data records and their potential improvement with CrIS Dr. Bryan A. Baum (PI) Space Science and Engineering Center University of Wisconsin-Madison Madison,

### Data processing (3) Cloud and Aerosol Imager (CAI)

Data processing (3) Cloud and Aerosol Imager (CAI) 1) Nobuyuki Kikuchi, 2) Haruma Ishida, 2) Takashi Nakajima, 3) Satoru Fukuda, 3) Nick Schutgens, 3) Teruyuki Nakajima 1) National Institute for Environmental

### P3.8 DETECTING VOLCANIC ASH AND BLOWING DUST USING GOES, MODIS, AND AIRS IMAGERY

P3.8 DETECTING VOLCANIC ASH AND BLOWING DUST USING GOES, MODIS, AND AIRS IMAGERY Bernadette H. Connell Cooperative Institute for Research in the Atmosphere (CIRA) Colorado State University, Fort Collins,

### Evaluations of the CALIPSO Cloud Optical Depth Algorithm Through Comparisons with a GOES Derived Cloud Analysis

Generated using V3.0 of the official AMS LATEX template Evaluations of the CALIPSO Cloud Optical Depth Algorithm Through Comparisons with a GOES Derived Cloud Analysis Katie Carbonari, Heather Kiley, and

### Introduction to Spectral Reflectance (passive sensors) Overview. Electromagnetic Radiation (light) 4/4/2014

Introduction to Spectral Reflectance (passive sensors) Kelly R. Thorp Research Agricultural Engineer USDA-ARS Arid-Land Agricultural Research Center Overview Electromagnetic Radiation (light) Solar Energy

### Properties of Radiation. What s this?

Properties of Radiation Lecture outline Flux and intensity Solid angle and the steradian Inverse square law Global insolation Interaction of radiation with matter What s this? SEVIRI sensor High-resolution

### Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data

Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data Kohei Arai 1 Graduate School of Science and Engineering Saga University Saga City, Japan Abstract Monte Carlo

### Cloud/Radiation parameterization issues in high resolution NWP

Cloud/Radiation parameterization issues in high resolution NWP Bent H Sass Danish Meteorological Institute 10 June 2009 As the horizontal grid size in atmospheric models is reduced the assumptions made

### P1.70 NIGHTTIME RETRIEVAL OF CLOUD MICROPHYSICAL PROPERTIES FOR GOES-R

P1.70 NIGHTTIME RETRIEVAL OF CLOUD MICROPHYSICAL PROPERTIES FOR GOES-R Patrick W. Heck * Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison Madison, Wisconsin P.

### RADIATION (SOLAR) Introduction. Solar Spectrum and Solar Constant. Distribution of Solar Insolation at the Top of the Atmosphere

RADIATION (SOLAR) 1859 Workshop Proceedings, Joint Research Centre, Ispra, Italy, pp. 45 53. Ulaby FT (1981)Microwave response of vegetation. In Kahle AB, Weill G, Carter WD (eds) Advances in Space Research,

### We know the shape of the solar spectrum. Let s consider that the earth atmosphere is 8000 km thick.

We know the shape of the solar spectrum. How is this spectral shape and irradiance of the solar light affected by the earth s atmosphere? Let s consider that the earth atmosphere is 8000 km thick. The

### Greenhouse Effect and Radiative Balance on Earth and Venus

Venus Exploration Advisory Group Greenhouse Effect and Radiative Balance on Earth and Venus Dave Crisp November 5, 2007-1- Venus and Earth: An Unlikely Pair Most theories of solar system evolution assume

### Overview of the IR channels and their applications

Ján Kaňák Slovak Hydrometeorological Institute Jan.kanak@shmu.sk Overview of the IR channels and their applications EUMeTrain, 14 June 2011 Ján Kaňák, SHMÚ 1 Basics in satellite Infrared image interpretation

### AEROSOL INFLUENCE ON CLOUD OPTICAL DEPTH AND ALBEDO OVER THE NORTH ATLANTIC SHOWN BY SATELLITE MEASUREMENTS AND CHEMICAL TRANSPORT MODELING

AEROSOL INFLUENCE ON CLOUD OPTICAL DEPTH AND ALBEDO OVER THE NORTH ATLANTIC SHOWN BY SATELLITE MEASUREMENTS AND CHEMICAL TRANSPORT MODELING Stephen E. Schwartz and Carmen M. Benkovitz Harshvardhan Photooxidants,

### Remote Sensing of Global Climate Change

of Global Climate Change 2009 TECHNICAL STUFF... WHERE ON THE EARTH IS THAT??? Students should understand various geographic coordinate systems used to locate images, and how to translate these into distances

### FRESCO. Product Specification Document FRESCO. Authors : P. Wang, R.J. van der A (KNMI) REF : TEM/PSD2/003 ISSUE : 3.0 DATE : 30.05.

PAGE : 1/11 TITLE: Product Specification Authors : P. Wang, R.J. van der A (KNMI) PAGE : 2/11 DOCUMENT STATUS SHEET Issue Date Modified Items / Reason for Change 0.9 19.01.06 First Version 1.0 22.01.06

### SATELLITE IMAGES IN ENVIRONMENTAL DATA PROCESSING

SATELLITE IMAGES IN ENVIRONMENTAL DATA PROCESSING Magdaléna Kolínová Aleš Procházka Martin Slavík Prague Institute of Chemical Technology Department of Computing and Control Engineering Technická 95, 66

### Hyperspectral Satellite Imaging Planning a Mission

Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute of Aerospace, Langley, VA Outline Objective

### Emission Temperature of Planets

Emission Temperature of Planets The emission temperature of a planet, T e, is the temperature with which it needs to emit in order to achieve energy balance (assuming the average temperature is not decreasing

### 2 Absorbing Solar Energy

2 Absorbing Solar Energy 2.1 Air Mass and the Solar Spectrum Now that we have introduced the solar cell, it is time to introduce the source of the energy the sun. The sun has many properties that could

### Comparison of Shortwave Cloud Radiative Forcing Derived from ARM SGP Surface and GOES-8 Satellite Measurements During ARESE-I and ARESE-II

Comparison of Shortwave Cloud Radiative Forcing Derived from ARM SGP Surface and GOES-8 Satellite Measurements During ARESE-I and ARESE-II A. D. Rapp, D. R. Doelling, and M. M. Khaiyer Analytical Services

### ARM SWS to study cloud drop size within the clear-cloud transition zone

ARM SWS to study cloud drop size within the clear-cloud transition zone (GSFC) Yuri Knyazikhin Boston University Christine Chiu University of Reading Warren Wiscombe GSFC Thanks to Peter Pilewskie (UC)

### Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC 4 : Potential for Enhancing Nocturnal Ice Cloud Retrievals

Remote Sens. 2012, 4, 3022-3054; doi:10.3390/rs4103022 Article OPEN ACCESS Remote Sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Simulations of Infrared Radiances over a Deep Convective Cloud

### Blackbody radiation. Main Laws. Brightness temperature. 1. Concepts of a blackbody and thermodynamical equilibrium.

Lecture 4 lackbody radiation. Main Laws. rightness temperature. Objectives: 1. Concepts of a blackbody, thermodynamical equilibrium, and local thermodynamical equilibrium.. Main laws: lackbody emission:

### The Moon as a Common Reference for Sensor Cross-Comparison

The Moon as a Common Reference for Sensor Cross-Comparison Thomas C. Stone U.S. Geological Survey, Flagstaff AZ, USA CEOS IVOS Workshop JRC Ispra, Italy 18 20 October 2010 The Moon as a source lunar calibration

### 7.805 CHARACTERIZATION OF THE EFFECTS OF CLOUD HETEROGENEITY ON CLOUD FRACTION AND CLOUD RADIATIVE EFFECTS

7.805 CHARACTERIZATION OF THE EFFECTS OF CLOUD HETEROGENEITY ON CLOUD FRACTION AND CLOUD RADIATIVE EFFECTS Clement Li City College of the City University of New York, New York, NY Stephen E. Schwartz Brookhaven

### Evaluating GCM clouds using instrument simulators

Evaluating GCM clouds using instrument simulators University of Washington September 24, 2009 Why do we care about evaluation of clouds in GCMs? General Circulation Models (GCMs) project future climate

### Lectures Remote Sensing

Lectures Remote Sensing ATMOSPHERIC CORRECTION dr.ir. Jan Clevers Centre of Geo-Information Environmental Sciences Wageningen UR Atmospheric Correction of Optical RS Data Background When needed? Model

### Lecture 1. The nature of electromagnetic radiation.

Lecture 1. The nature of electromagnetic radiation. 1. Basic introduction to the electromagnetic field: Dual nature of electromagnetic radiation Electromagnetic spectrum. Basic radiometric quantities:

### Remote sensing of precipitable water vapour and cloud cover for site selection of the European Extremely Large Telescope (E-ELT) using MERIS

Remote sensing of precipitable water vapour and cloud cover for site selection of the European Extremely Large Telescope (E-ELT) using MERIS H. Kurlandczyk 1 M.Sarazin 1 1 European Organisation for Astronomical

### CLOUD TOP PROPERTIES AND CLOUD PHASE ALGORITHM THEORETICAL BASIS DOCUMENT

CLOUD TOP PROPERTIES AND CLOUD PHASE ALGORITHM THEORETICAL BASIS DOCUMENT W. Paul Menzel Cooperative Institute for Meteorological Satellite Studies University of Wisconsin Madison Richard A. Frey Cooperative

### The Surface Energy Budget

The Surface Energy Budget The radiation (R) budget Shortwave (solar) Radiation Longwave Radiation R SW R SW α α = surface albedo R LW εσt 4 ε = emissivity σ = Stefan-Boltzman constant T = temperature Subsurface

### The ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models

The ARM-GCSS Intercomparison Study of Single-Column Models and Cloud System Models R. T. Cederwall and D. J. Rodriguez Atmospheric Science Division Lawrence Livermore National Laboratory Livermore, California

### Overview. What is EMR? Electromagnetic Radiation (EMR) LA502 Special Studies Remote Sensing

LA502 Special Studies Remote Sensing Electromagnetic Radiation (EMR) Dr. Ragab Khalil Department of Landscape Architecture Faculty of Environmental Design King AbdulAziz University Room 103 Overview What

### A SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA

Romanian Reports in Physics, Vol. 66, No. 3, P. 812 822, 2014 ATMOSPHERE PHYSICS A SURVEY OF CLOUD COVER OVER MĂGURELE, ROMANIA, USING CEILOMETER AND SATELLITE DATA S. STEFAN, I. UNGUREANU, C. GRIGORAS

### CALIPSO, CloudSat, CERES, and MODIS Merged Data Product

CALIPSO, CloudSat, CERES, and MODIS Merged Data Product Seiji Kato 1, Sunny Sun-Mack 2, Walter F. Miller 2, Fred G. Rose 2, and Victor E. Sothcott 2 1 NASA Langley Research Center 2 Science and Systems

### On the use of Synthetic Satellite Imagery to Evaluate Numerically Simulated Clouds

On the use of Synthetic Satellite Imagery to Evaluate Numerically Simulated Clouds Lewis D. Grasso (1) Cooperative Institute for Research in the Atmosphere, Fort Collins, Colorado Don Hillger NOAA/NESDIS/STAR/RAMMB,

### Today s Lecture: Radiation Hartmann, Global Physical Climatology (1994), Ch. 2, 3, 6 Peixoto and Oort, Ch. 4, 6, 7

Today s Lecture: Radiation Hartmann, Global Physical Climatology (1994), Ch. 2, 3, 6 Peixoto and Oort, Ch. 4, 6, 7 5 The climate system 1. Introduction 2. Atmosphere 3. Ocean 4. Land, biosphere, cryosphere

### MOD09 (Surface Reflectance) User s Guide

MOD09 (Surface ) User s Guide MODIS Land Surface Science Computing Facility Principal Investigator: Dr. Eric F. Vermote Web site: http://modis-sr.ltdri.org Correspondence e-mail address: mod09@ltdri.org

### Eruption of Mt. Kilauea Impacted Cloud Droplet and Radiation Budget over North Pacific

Western Pacific Air-Sea Interaction Study, Eds. M. Uematsu, Y. Yokouchi, Y. W. Watanabe, S. Takeda, and Y. Yamanaka, pp. 83 87. by TERRAPUB 2014. doi:10.5047/w-pass.a01.009 Eruption of Mt. Kilauea Impacted

### Interactions Between Electromagnetic Wave and Targets

Interactions Between Electromagnetic Wave and Targets Electromagnetic radiation wavelength λ, frequency ν and the velocity υ have the following relation. λ = υ/ν by: Dr. Kiyoshi Honda Space Technology

### Comparison of NOAA's Operational AVHRR Derived Cloud Amount to other Satellite Derived Cloud Climatologies.

Comparison of NOAA's Operational AVHRR Derived Cloud Amount to other Satellite Derived Cloud Climatologies. Sarah M. Thomas University of Wisconsin, Cooperative Institute for Meteorological Satellite Studies

### a) species of plants that require a relatively cool, moist environment tend to grow on poleward-facing slopes.

J.D. McAlpine ATMS 611 HMWK #8 a) species of plants that require a relatively cool, moist environment tend to grow on poleward-facing slopes. These sides of the slopes will tend to have less average solar

### ECE 583. Lecture 26 Imaging Visible and Infrared Radiometers. Multi-Spectral Analysis Active/Passive

ECE 583 Lecture 26 Imaging Visible and Infrared Radiometers Multi-Spectral Analysis Active/Passive Ash Plume across the North Atlantic April 15, 2010 MODIS Elevated MODIS Aerosol Optical Depth near Iceland

### Characterization of JPSS Solar Diffuser Stability Monitor Response to Sun Angle of Incidence

Characterization of JPSS Solar Diffuser Stability Monitor Response to Sun Angle of Incidence Vijay Murgai, Kristie Yu, Yuri Zakharenkov, John Steele, Eugene Kim, and Neil Nelson Vijay_murgai@Raytheon.com

### T.A. Tarasova, and C.A.Nobre

SEASONAL VARIATIONS OF SURFACE SOLAR IRRADIANCES UNDER CLEAR-SKIES AND CLOUD COVER OBTAINED FROM LONG-TERM SOLAR RADIATION MEASUREMENTS IN THE RONDONIA REGION OF BRAZIL T.A. Tarasova, and C.A.Nobre Centro

### Observed Cloud Cover Trends and Global Climate Change. Joel Norris Scripps Institution of Oceanography

Observed Cloud Cover Trends and Global Climate Change Joel Norris Scripps Institution of Oceanography Increasing Global Temperature from www.giss.nasa.gov Increasing Greenhouse Gases from ess.geology.ufl.edu

### An Introduction to Twomey Effect

An Introduction to Twomey Effect Guillaume Mauger Aihua Zhu Mauna Loa, Hawaii on a clear day Mauna Loa, Hawaii on a dusty day Rayleigh scattering Mie scattering Non-selective scattering. The impact of

### Saharan Dust Aerosols Detection Over the Region of Puerto Rico

1 Saharan Dust Aerosols Detection Over the Region of Puerto Rico ARLENYS RAMÍREZ University of Puerto Rico at Mayagüez, P.R., 00683. Email:arlenys.ramirez@upr.edu ABSTRACT. Every year during the months

### Retrieval of vertical cloud properties of deepconvective clouds by spectral radiance measurements

Faculty of Physics and Earth Sciences Retrieval of vertical cloud properties of deepconvective clouds by spectral radiance measurements Tobias Zinner Evi Jäkel, Sandra Kanter, Florian Ewald, Tobias Kölling

### Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains

Surface-Based Remote Sensing of the Aerosol Indirect Effect at Southern Great Plains G. Feingold and W. L. Eberhard National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder,

### Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP

Click Here for Full Article JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 113,, doi:10.1029/2008jd009837, 2008 Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation

### Aerosol radiative forcing over land: effect of surface and cloud reflection

Annales Geophysicae (2002) 20: 2105 2109 c European Geosciences Union 2002 Annales Geophysicae Letter to the Editor Aerosol radiative forcing over land: effect of surface and cloud reflection S. K. Satheesh

### Let s consider a homogeneous medium characterized by the extinction coefficient β ext, single scattering albedo ω 0 and phase function P(µ, µ').

Lecture 22. Methods for solving the radiative transfer equation with multiple scattering. Part 4: Monte Carlo method. Radiative transfer methods for inhomogeneous ouds. Objectives: 1. Monte Carlo method.

### CARBON MONOXIDE, METHANE AND CARBON DIOXIDE RETRIEVED FROM SCIAMACHY NEAR-INFRARED NADIR OBSERVATIONS USING WFM-DOAS

CARBON MONOXIDE, METHANE AND CARBON DIOXIDE RETRIEVED FROM SCIAMACHY NEAR-INFRARED NADIR OBSERVATIONS USING WFM-DOAS M. Buchwitz 1), R. de Beek 1), J. P. Burrows 1), H. Bovensmann 1), B. Dils 2), and M.

### 3.4 Cryosphere-related Algorithms

3.4 Cryosphere-related Algorithms GLI Algorithm Description 3.4.-1 3.4.1 CTSK1 A. Algorithm Outline (1) Algorithm Code: CTSK1 (2) Product Code: CLFLG_p (3) PI Name: Dr. Knut Stamnes (4) Overview of Algorithm

### Cloud Detection over Snow and Ice Using MISR Data

Cloud Detection over Snow and Ice Using MISR Data Tao Shi, Bin Yu, Eugene E. Clothiaux, and Amy J. Braverman Abstract Clouds play a major role in Earth s climate and cloud detection is a crucial step in