Summary Remote Sensing Seminar Summary Remote Sensing Seminar Lectures in Maratea Paul Menzel NOAA/NESDIS/ORA 22-31 May 2003.

Slides:



Advertisements
Similar presentations
MODIS/AIRS Workshop MODIS Level 2 Cloud Product 6 April 2006 Kathleen Strabala Cooperative Institute for Meteorological Satellite Studies University of.
Advertisements

METO621 Lesson 18. Thermal Emission in the Atmosphere – Treatment of clouds Scattering by cloud particles is usually ignored in the longwave spectrum.
Radiation and the Planck Function Lectures in Benevento June 2007 Paul Menzel UW/CIMSS/AOS.
Electromagnetic Radiation Electromagnetic Spectrum Radiation Laws Atmospheric Absorption Radiation Terminology.
CLOUD DETECTION WITH OPERATIONAL IMAGERS
ATS 351 Lecture 8 Satellites
Weighting Functions for Microwave and Infra-Red Satellite Nadir Sounding Remote Sensing I Lecture 7 Summer 2006.
Energy interactions in the atmosphere
METR180: Remote Sensing Lecture 14 – On Water Vapor.
Radiation Heat Transfer. The third method of heat transfer How does heat energy get from the Sun to the Earth? There are no particles between the Sun.
Reminder of radiance quantities I λ RadianceW m -2 μm -1 sr -1 Intensity (Monochromatic) F λ Spectral IrradianceW m -2 μm -1 Monochromatic Flux F(Broadband)
Satellite basics Estelle de Coning South African Weather Service
Pat Arnott, ATMS 749 Atmospheric Radiation Transfer Chapter 6: Blackbody Radiation: Thermal Emission "Blackbody radiation" or "cavity radiation" refers.
1 Remote Sensing Fundamentals Part II: Radiation and Weighting Functions Tim Schmit, NOAA/NESDIS ASPB Material from: Paul Menzel UW/CIMSS/AOS and Paolo.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison Benevento, June 2007.
Remote Sensing Allie Marquardt Collow Met Analysis – December 3, 2012.
Radiation: WHY CARE ??? the ultimate energy source, driver for the general circulation usefully applied in remote sensing (more and more)
Meteorolojik Uzaktan Algılamaya Giriş Erdem Erdi Uzaktan Algılama Şube Müdürlüğü 7-8 Mayıs 2012, İzmir.
1 Review of Remote Sensing Fundamentals Allen Huang Cooperative Institute for Meteorological Satellite Studies Space Science & Engineering Center University.
Extending HIRS High Cloud Trends with MODIS Donald P. Wylie Richard Frey Hong Zhang W. Paul Menzel 12 year trends Effects of orbit drift and ancillary.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
Summary of Radiation and the Radiative Transfer Equation Lectures for the Regional Training Course in Costa Rica 15 March 2005 Paul Menzel NOAA/NESDIS/ORA.
Satellite-derived Sea Surface Temperatures Corey Farley Remote Sensing May 8, 2002.
SATELLITE METEOROLOGY BASICS satellite orbits EM spectrum
Radiative Transfer in the Atmosphere Lectures in Benevento June 2007 Paul Menzel UW/CIMSS/AOS.
Radiation and the Radiative Transfer Equation Lectures in Ostuni June 2006 Paul Menzel NOAA/NESDIS/ORA.
Radiometer Considerations Lectures in Maratea 22 – 31 May 2003 Paul Menzel NOAA/NESDIS/ORA.
Radiation and the Radiative Transfer Equation Lectures in Maratea 22 – 31 May 2003 Paul Menzel NOAA/NESDIS/ORA.
Atmospheric Soundings, Surface Properties, Clouds The Bologna Lectures Paul Menzel NOAA/NESDIS/ORA.
1 Remote Sensing Fundamentals Part I: Radiation and the Planck Function Tim Schmit, NOAA/NESDIS ASPB Material from: Paul Menzel UW/CIMSS/AOS and Paolo.
Radiation and the Radiative Transfer Equation Lectures in Bertinoro 23 Aug – 2 Sep 2004 Paul Menzel NOAA/NESDIS/ORA.
Lectures in Monteponi 21 – 27 September 2008 Paul Menzel Paolo Antonelli UW/CIMSS Jochem Kerkmann Hans Peter Roesli EUMETSAT Alberto Marini University.
Radiometer Considerations And Cal/Val Lectures in Bertinoro 23 Aug – 2 Sep 2004 Paul Menzel NOAA/NESDIS/ORA.
Blackbody Radiation/ Planetary Energy Balance
Within dr, L changes (dL) from… sources due to scattering & emission losses due to scattering & absorption Spectral Radiance, L(, ,  ) - W m -2 sr -1.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Cloud property retrieval from hyperspectral IR measurements Jun Li, Peng Zhang, Chian-Yi Liu, Xuebao Wu and CIMSS colleagues Cooperative Institute for.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison Benevento, June 2007.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli CIMSS University of Wisconsin-Madison South Africa, April 2006.
1 Atmospheric Radiation – Lecture 13 PHY Lecture 13 Remote sensing using emitted IR radiation.
Quick Review of Remote Sensing Basic Theory Paolo Antonelli SSEC University of Wisconsin-Madison Monteponi, September 2008.
Introduction to Radiative Transfer The Bologna Lectures Paul Menzel NOAA/NESDIS/ORA.
ECMWF/EUMETSAT NWP-SAF Satellite data assimilation Training Course
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Blackbody Radiation/ Planetary Energy Balance
Summer 2014 Group Meeting August 14, 2014 Scott Sieron
Remote Sensing Fundamentals Part I: Radiation and the Planck Function
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Blackbody Radiation/ Planetary Energy Balance
GEOGRAPHIC INFORMATION SYSTEMS & RS INTERVIEW QUESTIONS ANSWERS
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Winds in the Polar Regions from MODIS: Atmospheric Considerations
Radiative Transfer in the Atmosphere
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
HIRS Observations of a Decline in High Clouds since 1995 February 2002
Instrument Considerations
Remote Sensing Seminar
Remote Sensing Seminar
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
By Narayan Adhikari Charles Woodman
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Introduction and Basic Concepts
REMOTE SENSING.
REMOTE SENSING.
In the past thirty five years NOAA, with help from NASA, has established a remote sensing capability on polar and geostationary platforms that has proven.
Presentation transcript:

Summary Remote Sensing Seminar Summary Remote Sensing Seminar Lectures in Maratea Paul Menzel NOAA/NESDIS/ORA May 2003

Observations depend on telescope characteristics (resolving power, diffraction) detector characteristics (signal to noise) communications bandwidth (bit depth) spectral intervals (window, absorption band) time of day (daylight visible) atmospheric state (T, Q, clouds) earth surface (Ts, vegetation cover) Satellite remote sensing of the Earth-atmosphere

Spectral Characteristics of Energy Sources and Sensing Systems

Incoming solar radiation (mostly visible) drives the earth-atmosphere (which emits infrared). Over the annual cycle, the incoming solar energy that makes it to the earth surface (about 50 %) is balanced by the outgoing thermal infrared energy emitted through the atmosphere. The atmosphere transmits, absorbs (by H2O, O2, O3, dust) reflects (by clouds), and scatters (by aerosols) incoming visible; the earth surface absorbs and reflects the transmitted visible. Atmospheric H2O, CO2, and O3 selectively transmit or absorb the outgoing infrared radiation. The outgoing microwave is primarily affected by H2O and O2. Solar (visible) and Earth emitted (infrared) energy

Solar Spectrum

VIIRS, MODIS, FY-1C, AVHRR H2O O2 CO2 H2O O2 H2O O2

AVIRIS Movie #2 AVIRIS Image - Porto Nacional, Brazil 20-Aug Spectral Bands:  m Pixel: 20m x 20m Scene: 10km x 10km

MODIS IR Spectral Bands MODIS

Current GOES Sounder Spectral Bands: 14.7 to 3.7 um and vis

GOES Sounder Spectral Bands: 14.7 to 3.7 um and vis

Radiative Transfer through the Atmosphere

II II I |I IATMS Spectral Regions

Radiation is governed by Planck’s Law c 2 / T B(,T) = c 1 /{ 5 [e -1] } In microwave region c 2 /λT << 1 so that c 2 / T e = 1 + c 2 /λT + second order And classical Rayleigh Jeans radiation equation emerges B λ (T)  [c 1 / c 2 ] [T / λ 4 ] Radiance is linear function of brightness temperature.

Multispectral data reveals improved information about ice / water clouds

MODIS

Ice reflectance

Using wavenumbers c 2 /T Planck’s Law B(,T) = c 1 3 / [e -1] (mW/m 2 /ster/cm -1 ) where = # wavelengths in one centimeter (cm-1) T = temperature of emitting surface (deg K) c 1 = x 10-5 (mW/m 2 /ster/cm -4 ) c 2 = (cm deg K) Wien's Law dB( max,T) / dT = 0 where (max) = 1.95T indicates peak of Planck function curve shifts to shorter wavelengths (greater wavenumbers) with temperature increase.  Stefan-Boltzmann Law E =   B(,T) d =  T 4, where  = 5.67 x 10-8 W/m2/deg4. o states that irradiance of a black body (area under Planck curve) is proportional to T 4. Brightness Temperature c 1 3 T = c 2 /[ln( ______ + 1)] is determined by inverting Planck function B

Radiative Transfer Equation When reflection from the earth surface is also considered, the RTE for infrared radiation can be written o I =  sfc B (T s )  (p s ) +  B (T(p)) F (p) [d  (p)/ dp ] dp p s where F (p) = { 1 + (1 -  ) [  (p s ) /  (p)] 2 } The first term is the spectral radiance emitted by the surface and attenuated by the atmosphere, often called the boundary term and the second term is the spectral radiance emitted to space by the atmosphere directly or by reflection from the earth surface. The atmospheric contribution is the weighted sum of the Planck radiance contribution from each layer, where the weighting function is [ d  (p) / dp ]. This weighting function is an indication of where in the atmosphere the majority of the radiation for a given spectral band comes from.

RTE in Cloudy Conditions I λ = η I cd + (1 - η) I c where cd = cloud, c = clear, η = cloud fraction λ λ o I c = B λ (T s )  λ (p s ) +  B λ (T(p)) d  λ. λ p s p c I cd = (1-ε λ ) B λ (T s )  λ (p s ) + (1-ε λ )  B λ (T(p)) d  λ λ p s o + ε λ B λ (T(p c ))  λ (p c ) +  B λ (T(p)) d  λ p c ε λ is emittance of cloud. First two terms are from below cloud, third term is cloud contribution, and fourth term is from above cloud. After rearranging p c dB λ I λ - I λ c = ηε λ   (p) dp. p s dp Techniques for dealing with clouds fall into three categories: (a) searching for cloudless fields of view, (b) specifying cloud top pressure and sounding down to cloud level as in the cloudless case, and (c) employing adjacent fields of view to determine clear sky signal from partly cloudy observations.

Cloud Properties RTE for cloudy conditions indicates dependence of cloud forcing (observed minus clear sky radiance) on cloud amount (  ) and cloud top pressure (p c ) p c (I - I clr ) =    dB. p s Higher colder cloud or greater cloud amount produces greater cloud forcing; dense low cloud can be confused for high thin cloud. Two unknowns require two equations. p c can be inferred from radiance measurements in two spectral bands where cloud emissivity is the same.  is derived from the infrared window, once p c is known. This is the essence of the CO2 slicing technique.

Cloud Clearing For a single layer of clouds, radiances in one spectral band vary linearly with those of another as cloud amount varies from one field of view (fov) to another Clear radiances can be inferred by extrapolating to cloud free conditions. R CO2 R IRW cloudy clear x xx x x partly cloudy N=1N=0

Moisture Moisture attenuation in atmospheric windows varies linearly with optical depth. - k u  = e = 1 - k u For same atmosphere, deviation of brightness temperature from surface temperature is a linear function of absorbing power. Thus moisture corrected SST can inferred by using split window measurements and extrapolating to zero k Moisture content of atmosphere inferred from slope of linear relation.

Comparison of geostationary (geo) and low earth orbiting (leo) satellite capabilities GeoLeo observes process itselfobserves effects of process (motion and targets of opportunity) repeat coverage in minutesrepeat coverage twice daily (  t  30 minutes)(  t = 12 hours) full earth disk onlyglobal coverage best viewing of tropicsbest viewing of poles same viewing anglevarying viewing angle differing solar illuminationsame solar illuminationvisible, IR imager (1, 4 km resolution)(1, 1 km resolution) one visible bandmultispectral in visible (veggie index) IR only sounder IR and microwave sounder (8 km resolution)(17, 50 km resolution) filter radiometerfilter radiometer, interferometer, and grating spectrometer diffraction more than leo diffraction less than geo

35_ comments on course to Best feature Worst feature Suggestions to improve