Peculiarities of vertical atmosphere absorption in the millimeter wave band

Size: px
Start display at page:

Download "Peculiarities of vertical atmosphere absorption in the millimeter wave band"

Transcription

1 RADIO SCIENCE, VOL. 38, NO. 3, 8043, doi: /2002rs002668, 2003 Peculiarities of vertical atmosphere absorption in the millimeter wave band Nikolay V. Ruzhentsev Institute of Radio Astronomy, National Academy of Sciences, Kharkov, Ukraine Received 11 March 2002; revised 27 September 2002; accepted 2 October 2002; published 8 February [1] One complete year of continuous observations of vertical radiation of the atmosphere in two points of millimeter wave band (94 and 38 GHz) was conducted. The total vertical absorption, liquid and vapor water content of atmosphere, and average (effective) temperature of clouds are restored on the basis of these two-frequency radiometric data. Numerous cases of abnormal differences between experimental and theoretical values of cloud absorption at the two frequencies were observed. An analysis of the collection of direct and indirect features that accompany the abnormal events is carried out. It is shown that the main sources of observed abnormal differences between theoretical and experimental data are snow and ice particles in clouds and, probably, water droplets of large size. The possibility of using two-frequency radiometric data not only for retrieving of liquid and vapor water content of atmosphere but also for determining the effective temperature of clouds and for assessing hydrometeor microstructure is noted. For this purpose, polarization measurements are very useful. INDEX TERMS: 0360 Atmospheric Composition and Structure: Transmission and scattering of radiation; 3360 Meteorology and Atmospheric Dynamics: Remote sensing; 0320 Atmospheric Composition and Structure: Cloud physics and chemistry; 0689 Electromagnetics: Wave propagation (4275) Citation: Ruzhentsev, N. V., Peculiarities of vertical atmosphere absorption in the millimeter wave band, Radio Sci., 38(3), 8043, doi: /2002rs002668, Introduction [2] The problems of determination of the phase structure of cloud canopy and estimation of the cloud moisture content are important for climatology, meteorology, ecology, etc. In this regard, an efficient tool for atmospheric remote sensing, such as a two- or multifrequency radiometer method needs continued development, as well as determining new applications. [3] The normalized absorption of droplet fraction of cloud water (t) can be determined by Debye s theory of dielectric properties of water (or water solutions) as expressed by its time of relaxation (t r ). At millimeter wave band (MM WB) (especially at the short wave side of MM WB) these parameters depend only weakly on the salt concentration or any other substances dissolved in water [Shutko, 1986]. However, their values depend strongly on the water temperature (T o ) and on the frequency of radio signal. We expect that the molecular relaxation of small-dispersed drops is connected not only Copyright 2003 by the American Geophysical Union /03/2002RS with the water viscosity, but also with the forces of intermolecular interactions. In addition, at MM WB we can presuppose the appearance of other (nonthermal) mechanisms of radio wave radiation (absorption). [4] The Van De Hulst equation for a cloud drop absorption is: t ¼ 6p e 1 Im W: ð1þ l e þ 2 where W is the liquid water content; l is the wavelength; e is the complex permittivity of water described by Debye s equation: e ¼ e 0 je 00 ¼ e s e o 1 þ jðl r =lþ þ e o ð2þ Here, e 0 and e 00 are the real and imaginary parts of the water dielectric permittivity; e s and e o are the static and optical dielectric permittivities respectively, which are described by the standard models; l r is the relaxation wavelength. These values are described as: e s ¼ 88; 2 0; 4t; e o ¼ 5:5; l r ¼ 2pc e s þ 2 e o þ 2 t r; MAR 8-1

2 MAR 8-2 RUZHENTSEV: VERTICAL ATMOSPHERE ABSORPTION where t is the water temperature in C. The time of relaxation (t r ) is determined as [Basharinov and Kutuza, 1974]: t r ¼ exp½10ð273=t 0 0; 95ÞŠ10 12 sec ð3þ where T 0 is the water temperature. [5] From equations (1) (3), we get the relation between the values of absorption in liquid water of clouds for pair of wavelengths: t l1 t l2 ¼ l2 2 l 2 1 ðe s þ 2Þ 2 þðl r =l 2 Þ 2 ðe o þ 2Þ 2 ðe s þ 2Þ 2 þðl r =l 1 Þ 2 ðe o þ 2Þ 2 : ð4þ [6] The ratio t l1 /t l2 can give information about the dielectric permittivity of water drops. A possible discrepancy between the experimental data and the theoretical ratio t l1 /t l2 might indicate differences of dielectric properties of water drops from properties described by standard models. In addition, the same deviations could indicate the presence a nonthermal mechanism of emission (absorption). [7] Because, in the small particle limit, the ratio of liquid water absorption for two different frequencies is independent of the integral content and concentration of cloud droplets, there is reason to suppose that the ratio t l1 /t l2 can be a parameter for retrieving the average cloud temperature. Besides, the noted anomalous deviations of the ratio from that obtained by calculations (using meteorological data) can help to determine the phase structures of atmospheric water, as well as to observe the dynamics of processes of cloud origin and their transformation. [8] In this paper, using one complete year of continuous observations of vertical atmosphere radiation (absorption), we compared measured and computed (with Debye s theory) values of the cloud absorption ratio for 94 GHz and 38 GHz frequencies (3 mm and 8 mm wavelength). We also analyzed the data for different synoptic situations. [9] The main experimental data considered in paper were obtained using two modulation radiometers (38 GHz and 94 GHz) with a fluctuation sensitivity dt = 0.25 K. Axis-symmetric directional diagrams of horn antennas of radiometers had identical width q 0.5 =5 and were directed at a zenith angle of 40 during one year of measurements. The calibration of radiometers was conducted with the method of two absorbed loads (with temperature T 1 =78K and T 2 = 300 K) or using a radio-frequency radiation of cloudless regions of atmosphere (with usage the near ground meteo-data and Liebe s method for calculations its radiobrightness temperature -T b ). To protect the antennas from precipitation, the radiometers were placed in a long pipe. Figure 1. Theoretical dependencies of ratio t 3 /t 8 on water temperature. [10] The total absorption of the atmosphere in the vertical direction was evaluated from the measurements of the antenna temperature using the following equation: t total ¼ ln T 0 T ant bt bground = ð1 bþ = T 0 Tc g=secq where: T ant antenna temperature of atmosphere measured by radiometer; b dissipation factor of antenna outside of a main beam of directional diagram; T bground effective temperature of background radiation received by back and side lobes of directional diagram of antennas (experimentally obtained values); T c relict cosmic radiation (2.75 K); q zenith angle of sighting; T 0 average temperature of atmosphere (was determined as T 0 =bt 0 where T 0 temperature of near ground air, and b a coefficient depending on wavelength and season (obtained from season-averaged profiles of meteo-fields). In this work were used b = 0.98 for summer and 0.96 for winter in 3-mm range, and b = 0.95 for summer and 0.93 for winter in 8-mm range). [11] For retrieving atmosphere vapor (Q) and water (W) content values we used a set of equations for 3mm and 8mm ranges: t total l ¼ t oxygen l þ CðlÞQ þ kl; ð T 0 ÞW ð5þ Where C and k are the normalized coefficients of absorption in pairs and in liquid water accordingly. As a result of its solution:

3 RUZHENTSEV: VERTICAL ATMOSPHERE ABSORPTION MAR 8-3 Figure 2. The relations of total absorption values for atmosphere vertical direction at 3 mm and 8 mm wave band. h i W ¼ t 3MM total t 3MM oxygen B t8mm total t 8MM oxygen = ð1 B=AÞk 3mm ð6þ h i Q ¼ t 3MM total t 3MM oxygen A t8mm total t 8MM oxygen = ð1 A=BÞC 3mm ð7þ 3MM where t oxygen value computed with meteo-data, A ¼ k 3MM =k 8MM ¼ t 3MM water =t8mm water ; B ¼ C 3MM =C 8MM ðfor both our frequencies B ¼ 6:8Þ: Results of polarization measurements using the radiometer-polarimeter of 3mm range (which had two balanced channels which were loaded on two identical antennas with vertical and horizontal polarizations) are discussed at the end of the paper. The output signal of this radiometer (with dt = 0.4 K) was proportional to a difference between antenna temperatures measured at two orthogonal polarizations. 2. Results [12] The computed ratio t 3 /t 8 dependence on the water droplet temperature is shown in Figure 1. This plot was obtained using equations (1) (4).

4 MAR 8-4 RUZHENTSEV: VERTICAL ATMOSPHERE ABSORPTION Figure 3. Variations of measured radio brightness temperature (a) and retrieved values of total liquid water content (b), vapor water content (c) and mean cloud temperature (d) during the passage of a warm atmosphere front. [13] Our statistical analysis of experimental data (49N, 37E) and theoretical results show that during the one year period approximately for 40% of observed frontal zone of clouds (about 65% for warm season of year and about 25% for cold season but always when the near ground temperature was T o >+5 C) there is no essential discrepancy between measured and computed values of ratio t 3 /t 8 (i.e. there is strong correlation between the cloud temperature and their measured ratio t 0 3/t 0 8). [14] Measured values of optical depth in relation t3/t were determined as: t total l t clear l, where t clear l is value measured in cloud-free periods (or value computed with near ground meteo-data). For specific of types of frontal zones, all experimental points are situated on a few (or even on one) lines, as it shown in Figures 2a and 2b. We see that these lines have different slopes and (or) vertical shifts (Figures 2c and 2e) for different zones of cloudiness. We suppose that this difference of slopes is caused by the difference of cloud droplet temperature. It follows from Figure 1 that a change of water temperature from 30 C to+20 C leads to change of ctg a (here a is angle of inclination) from 2 to 6.2, which agrees with our experimental data. We note that separating the cloudy zones with ratio t 0 3/t 0 8 points situated along one line, as well as measuring the angle of this lines inclination, are very useful for retrieving values of water content with (6) and (7) [Ruzhentsev and Kuzmenko, 1998a, 1998b]. [15] The difference of vertical shifts of these rays on neper relative to one another (Figures 2c 2e) might be caused by the difference of droplet size probability distribution functions (PDF) in the different regions of cloudiness and precipitation. The big influence of the shape of droplet size PDF on the attenuation of short millimeter waves under thunderstorm conditions was demonstrated by Furashov et al. [1994] (for the set of PDF s given by Marshal-Palmer, Laws-Parson and Joss et al.). [16] In Figure 3 an example of observation of the passing of an atmosphere front is shown with the results of simultaneous retrievals of W, Q, and mean cloud layer temperature T C The retrieval methods are described by Ruzhentsev and Kuzmenko [1998a, 1998b]. For the retrieval of cloud effective temperature, we used the computed data from Figure 1.

5 RUZHENTSEV: VERTICAL ATMOSPHERE ABSORPTION MAR 8-5 Figure 4. The retrieved values of total atmosphere absorption and ratio t3/t during passage of some of atmosphere fronts. [17] However, we note the absence in our experiments of radiosonde data of measurements of the atmosphere temperature and humidity profiles. On account of this, we could use only approximate values of cloud temperatures in our calculations and comparisons. [18] The cloud temperature estimation was accomplished by using the near ground air temperature measurements with an assumed vertical gradient of air temperature as 6 K/Km for summer and 3 K/Km for winter. [19] Although such an approach has only statistical significance (and for some of particular meteorological situations might lead to errors of cloud temperature up to 10 C), nevertheless it allows us to find cases when t 0 3/t 0 8 ratio had anomalously low (or anomalously high) values relative to the predicted one. [20] Such substantial anomalies were observed regularly during passage of about 60% of atmosphere frontal zones (35% for warm seasons and about 75% for cold seasons). In Figure 4 two typical examples of these situations are shown. [21] We think that there are following possibilities to explain, or even to remove, the discrepancies noted above: 1. to change the parameter t r, obtained by the common technique of theoretical evaluations (4) for water, and their realistic values for small drops of water, to agree with the measured data; 2. to explain such discrepancies by the uncertainties in phase state and parameters of hydrometeors that lead to the observed anomalies. [22] We believe that the second way of explanation of observed anomalies is more physical and more fruitful. It is based on the series of features derived from our experimental data as well as from the theoretical results of other authors (where the influence of diffraction by the super big drops and ice crystals on the hydrometeors absorption value at MM WB was considered). In Figure 5 and Figures 2c 2e, we depict the results obtained this way. [23] Actually for most of the records obtained in the warm seasons as well as for many of records obtained in the cold seasons (but with the positive C temperatures of near ground air) it is typical to find good correspond-

6 MAR 8-6 RUZHENTSEV: VERTICAL ATMOSPHERE ABSORPTION Figure 5. The coefficient of scattering at 94 GHz (curves 1 and 3) and 39 GHz (curves 2 and 4) for a monodisperse distribution of 1 gm/m 3 of water content (3 and 4) as well as for a cloud composed by spherical ice particles (1 and 2) as a function of particle diameter. ence between the measured and calculated values of t 3 /t 8 ratio. In addition, there are some regularities concerning the anomalously high values of t 0 3/t 0 8 that were observed mostly in winter or during transition-seasons as well as the cases of the anomalously low values observed in summer season only. [24] A possible cause of winter and transitional-seasons excesses might be the existence of ice fraction of clouds with predominant sizes 0.5 to 2.5 millimeter of ice or snow particles (that often occur in nature which follows from the data of in situ measurements contained, e.g., in the work of Hatanaka et al. [1993]). [25] In this case it is reasonable to turn to the results obtained by Lhermitte [1988] where a theoretical evaluation of extinction (attenuation) values due to the scattering by ice particles at 3 mm WB (using Mie s theory) was carried out. From Figure 5 it follows that the coefficients of scattering at 3 mm WB can reach more then 10 db/km (curve 1). At the same time at 8-mm WB the scattering coefficient increases by less than 3 db/km (if we neglect some small changes of ice dielectric permittivity for the considered interval of frequencies, it is possible to create curve 2 of Figure 5). Thus, the existence of frozen particles of water might cause above mentioned anomalies. Our estimations show that the cloud zones with increased values of vapor humidity do not affect noticeably the extinction coefficient, especially in cold seasons. [26] As we have mentioned above, sometimes in summer there are cases of an anomalous decrease of the ratio t 0 3/t 0 8. It is possible that such a decrease is caused by the super large drops of water with sizes >1.5 mm (Figure 5) or by big ice crystals (3 mm 4 mm), as well as by very large values of water vapor content. [27] For ice particles, this decrease might be caused by the opposite signs of gradients in the change of absorption at 8 mm and 3 mm WB. In summer the cases of high ratio t 3 /t 8 were observed in Cb clouds (not in Sc clouds characterized by a very high vapor water content Q reached 40kG/m 2 ) which are characterized by a high value of liquid water content W (1 2 kg/m 2 and even more) and by a small value of a vapor water content (usually near 0.15 kg/m 2 )[Andreev, 1982]. It is very likely that the presence of ice crystals is the main cause of the phenomena considered here, because of numerous observations [Mazin and Shmerer, 1983] that Figure 6. The examples of recording of synchronous change of radiobrightness temperature (T b ) and polarization difference (T V T H ) of the sky during passing a single cloud (a) and field of cloudiness (b) above the measuring point (a zenith angle of sightings q = 40 ).

7 RUZHENTSEV: VERTICAL ATMOSPHERE ABSORPTION MAR 8-7 show a very little relative portion of super large size drops in their size PDF. [28] The plausibility of the explanations given above increases if we take into account that such summer anomalies were observed mainly into the thunderstorm clouds. As a rule, the large-size ice or hail formations are presented in the higher layers of these clouds [Mazin and Shmerer, 1983]. Moreover, our recent cycle of polarization observations of cloud canopy have confirmed the data contained in the work of Vivekanandan et al. [1993] about polarization differences between big size snow and ice particles. Such polarization differences with data of our measurements can reach 18 K for zenith angles of 40. Furthermore we observed the polarization differences at 3mm WB when the radio brightness at vertical polarization exceeded the horizontal one and vice versa (Figure 6). These differences of signs of depolarization, as it is shown by the theoretical calculations by Osharin and Troitsky [2000], could characterize the microstructure of cloud ice particles (if the ice particles are spherical then T V > T H, but if these particles have the plain plate form, then T H > T V ). [29] All these arguments lead us to prefer the hypothesis of the influence of large sized particle of frozen water, on the observed anomalies of cloud absorption ratio for different frequencies at MM WB (although hypothetically the same effect might take place in special case when the PDF of droplet sizes is concentrated near a few millimeter value). 3. Conclusions [30] As a result of analysis of one complete year of radiometric data it was concluded: 1. the existence of a temperature dependence t 0 3/t 0 8 was observed; this leads to the possibility of determining cloud mean temperature from the radiometric measured ratio t 0 3/t 0 8; 2. the existence of the numerous cases of abnormal measured ratio t 0 3/t 0 8 that exceed the expected theoretical value, as well as the more rare cases of its anomalous low value; 3. confirmation of the key role of a large-sized ice fraction of cloud water in abnormal excess of the expected values t 3 /t 8 (that can be used for determination the phase structure and the type of clouds); 4. indirect confirmation the possibility of determining some cloud crystalline zones by radiometric polarization measurements. References Andreev, G. A., Earth covers heat emission at millimeter waves (in Russian), Zarub. Radioelectron., N12, 3 39, Basharinov, A. E., and B. G. Kutuza, Determination of temperature dependence of time relaxation of water molecules in clouds as well as determination of possibility of evaluating affective temperature of clouds from radiometer measurements (in Russian), Izv. Vyssh. Uchebn. Zaved Radiofiz., 17(N1), 52 57, Furashov, N. I., V. Y. Katkov, and B. A. Sverdlov, Hysteresis effects in attenuation/rain rate relationships at the shorter millimeter wave lengths, in Proceedings of the International Conference on Millimeter and Sub-Millimeter Waves and Applications, San Diego, California, pp , Int. Soc. for Opt. Eng., Bellingham, Wash., Hatanaka, M., Y. Ohta, H. Takeya, I. Sugioka, A. Nshitsuji, and M. Wada, An evaluation method of snow particle size distribution functions from VTR image for meteorological radar observations, paper presented at International Symposium IGARSS 93, Tokyo, Inst. of Electr. and Electron. Eng., New York, Lhermitte, R. M., Cloud and precipitation remote sensing at 94 GHz, IEEE Trans. Geosci. Remote Sens., 26(N3), , Mazin, L. P., and S. M. Shmerer, Clouds: Their Structure and Formation (in Russian), 280 pp., Gidrometeoizdat, Leningrad, Osharin, A. M., and A. V. Troitsky, Polarization of the thermal radiation of the cloudy atmosphere in millimeter wavelength band, in Proceedings of the International Conference on Mathematical Methods in Electromagnetic Theory (Sept , 2000, Kharkov, Ukraine), vol. 1, pp , Inst. of Electr. and Electron. Eng., New York, Ruzhentsev, N. V., Y. A. Kuzmenko, An annual motion of atmosphere water content from integral absorption radiometer observation, in Proceedings of the URSI Commission-F Open Symposium on Climatic Parameters in Radio Wave Propagation Prediction (April 1998, Ottawa, Canada), pp , Inst. of Electr. and Electron. Eng., New York, 1998a. Ruzhentsev, N. V., and Y. A. Kuzmenko, Some results of atmosphere water motion observation from annual radiometer data, in Proceedings of the URSI Commission-F International Triennial Open Symposium on Wave Propagation and Remote Sensing (22 25 September 1998, Aveiro, Portugal), pp , Inst. of Electr. and Electron. Eng., New York, 1998b. Shutko, A. M., Microwave Radiometer Measurements of Water Surfaces and Bare Soils (inrussian), 190pp.,Nauka, Moscow, Vivekanandan, J., J. Turk, F. S. Marzano, A. Magnai, R. W. Spenser, R. E. Hood, et al., Active and passive remote sensing of precipitation over ocean surfaces, paper presented at International Symposium IGARSS 93, Tokyo, Inst. of Electr. and Electron. Eng., New York, N. V. Ruzhentsev, Institute of Radio Astronomy, National Academy of Sciences, Kharkov, Ukraine. (ruzh@rian.kharkov. ua)

RADIO SCIENCE, VOL. 38, NO. 4, 8065, doi: /2002rs002659, 2003

RADIO SCIENCE, VOL. 38, NO. 4, 8065, doi: /2002rs002659, 2003 RADIO SCIENCE, VOL. 38, NO. 4, 8065, doi:10.1029/2002rs002659, 2003 Retrieval of atmospheric and ocean surface parameters from ADEOS-II Advanced Microwave Scanning Radiometer (AMSR) data: Comparison of

More information

Clear-Air Forward Microwave and Millimeterwave Radiative Transfer Models for Arctic Conditions

Clear-Air Forward Microwave and Millimeterwave Radiative Transfer Models for Arctic Conditions Clear-Air Forward Microwave and Millimeterwave Radiative Transfer Models for Arctic Conditions E. R. Westwater 1, D. Cimini 2, V. Mattioli 3, M. Klein 1, V. Leuski 1, A. J. Gasiewski 1 1 Center for Environmental

More information

Christian Sutton. Microwave Water Radiometer measurements of tropospheric moisture. ATOC 5235 Remote Sensing Spring 2003

Christian Sutton. Microwave Water Radiometer measurements of tropospheric moisture. ATOC 5235 Remote Sensing Spring 2003 Christian Sutton Microwave Water Radiometer measurements of tropospheric moisture ATOC 5235 Remote Sensing Spring 23 ABSTRACT The Microwave Water Radiometer (MWR) is a two channel microwave receiver used

More information

Mutah University, P.O. Box 7, Mutah, Al-Karak, 61710, Jordan 2 Department of Electrical Engineering,

Mutah University, P.O. Box 7, Mutah, Al-Karak, 61710, Jordan 2 Department of Electrical Engineering, American Journal of Applied Sciences 5 (12): 1764-1768, 2008 ISSN 1546-9239 2008 Science Publications Models for Mixed Ensemble of Hydrometeors and their Use in Calculating the Total Random Cross Section

More information

A Comparison of Clear-Sky Emission Models with Data Taken During the 1999 Millimeter-Wave Radiometric Arctic Winter Water Vapor Experiment

A Comparison of Clear-Sky Emission Models with Data Taken During the 1999 Millimeter-Wave Radiometric Arctic Winter Water Vapor Experiment A Comparison of Clear-Sky Emission Models with Data Taken During the 1999 Millimeter-Wave Radiometric Arctic Winter Water Vapor Experiment E. R. Westwater, Y. Han, A. Gasiewski, and M. Klein Cooperative

More information

F O U N D A T I O N A L C O U R S E

F O U N D A T I O N A L C O U R S E F O U N D A T I O N A L C O U R S E December 6, 2018 Satellite Foundational Course for JPSS (SatFC-J) F O U N D A T I O N A L C O U R S E Introduction to Microwave Remote Sensing (with a focus on passive

More information

Effect of Antireflective Surface at the Radiobrightness Observations for the Topsoil Covered with Coniferous Litter

Effect of Antireflective Surface at the Radiobrightness Observations for the Topsoil Covered with Coniferous Litter 966 PIERS Proceedings, Moscow, Russia, August 18 21, 2009 Effect of Antireflective Surface at the Radiobrightness Observations for the Topsoil Covered with Coniferous Litter V. L. Mironov 1, P. P. Bobrov

More information

Observations of Integrated Water Vapor and Cloud Liquid Water at SHEBA. James Liljegren

Observations of Integrated Water Vapor and Cloud Liquid Water at SHEBA. James Liljegren Observations of Integrated Water Vapor and Cloud Liquid Water at SHEBA James Liljegren Ames Laboratory Ames, IA 515.294.8428 liljegren@ameslab.gov Introduction In the Arctic water vapor and clouds influence

More information

Calibration and Temperature Retrieval of Improved Ground-based Atmospheric Microwave Sounder

Calibration and Temperature Retrieval of Improved Ground-based Atmospheric Microwave Sounder PIERS ONLINE, VOL. 6, NO. 1, 2010 6 Calibration and Temperature Retrieval of Improved Ground-based Atmospheric Microwave Sounder Jie Ying He 1, 2, Yu Zhang 1, 2, and Sheng Wei Zhang 1 1 Center for Space

More information

The Influence of Fog on the Propagation of the Electromagnetic Waves under Lithuanian Climate Conditions

The Influence of Fog on the Propagation of the Electromagnetic Waves under Lithuanian Climate Conditions PIERS ONLINE, VOL. 5, NO. 6, 2009 576 The Influence of Fog on the Propagation of the Electromagnetic Waves under Lithuanian Climate Conditions S. Tamosiunas 1, 2, M. Tamosiunaite 1, 2, M. Zilinskas 1,

More information

Principles of Radiative Transfer Principles of Remote Sensing. Marianne König EUMETSAT

Principles of Radiative Transfer Principles of Remote Sensing. Marianne König EUMETSAT - Principles of Radiative Transfer Principles of Remote Sensing Marianne König EUMETSAT marianne.koenig@eumetsat.int Remote Sensing All measurement processes which perform observations/measurements of

More information

BERGEN 2011 METEOROLOGICAL TEMPERATURE PROFILER MTP-5

BERGEN 2011 METEOROLOGICAL TEMPERATURE PROFILER MTP-5 BERGEN 2011 METEOROLOGICAL TEMPERATURE PROFILER MTP-5 How it work? Each 5 minutes the program starts to measure of the temperature profile. During this procedures the program send commands to controller

More information

Remote Sensing of Precipitation

Remote Sensing of Precipitation Lecture Notes Prepared by Prof. J. Francis Spring 2003 Remote Sensing of Precipitation Primary reference: Chapter 9 of KVH I. Motivation -- why do we need to measure precipitation with remote sensing instruments?

More information

A radiative transfer model function for 85.5 GHz Special Sensor Microwave Imager ocean brightness temperatures

A radiative transfer model function for 85.5 GHz Special Sensor Microwave Imager ocean brightness temperatures RADIO SCIENCE, VOL. 38, NO. 4, 8066, doi:10.1029/2002rs002655, 2003 A radiative transfer model function for 85.5 GHz Special Sensor Microwave Imager ocean brightness temperatures Thomas Meissner and Frank

More information

Lecture 3: Atmospheric Radiative Transfer and Climate

Lecture 3: Atmospheric Radiative Transfer and Climate Lecture 3: Atmospheric Radiative Transfer and Climate Solar and infrared radiation selective absorption and emission Selective absorption and emission Cloud and radiation Radiative-convective equilibrium

More information

Abstract. Introduction

Abstract. Introduction Advanced Microwave System For Measurement of ABL Thermal Stratification in Polar Region V.V. Folomeev*, E.N. Kadygrov*, E.A. Miller*, V.V. Nekrasov*, A.N. Shaposhnikov*, A.V. Troisky** * Central aerological

More information

Radiative Climatology of the North Slope of Alaska and the Adjacent Arctic Ocean

Radiative Climatology of the North Slope of Alaska and the Adjacent Arctic Ocean Radiative Climatology of the North Slope of Alaska and the Adjacent Arctic Ocean C. Marty, R. Storvold, and X. Xiong Geophysical Institute University of Alaska Fairbanks, Alaska K. H. Stamnes Stevens Institute

More information

Microwave Radiometric Technique to Retrieve Vapor, Liquid and Ice, Part I Development of a Neural Network-Based Inversion Method

Microwave Radiometric Technique to Retrieve Vapor, Liquid and Ice, Part I Development of a Neural Network-Based Inversion Method 224 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 35, NO. 2, MARCH 1997 Microwave Radiometric Technique to Retrieve Vapor, Liquid and Ice, Part I Development of a Neural Network-Based Inversion

More information

Studying snow cover in European Russia with the use of remote sensing methods

Studying snow cover in European Russia with the use of remote sensing methods 40 Remote Sensing and GIS for Hydrology and Water Resources (IAHS Publ. 368, 2015) (Proceedings RSHS14 and ICGRHWE14, Guangzhou, China, August 2014). Studying snow cover in European Russia with the use

More information

Correcting Microwave Precipitation Retrievals for near- Surface Evaporation

Correcting Microwave Precipitation Retrievals for near- Surface Evaporation Correcting Microwave Precipitation Retrievals for near- Surface Evaporation The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation

More information

SIMULATION OF SPACEBORNE MICROWAVE RADIOMETER MEASUREMENTS OF SNOW COVER FROM IN-SITU DATA AND EMISSION MODELS

SIMULATION OF SPACEBORNE MICROWAVE RADIOMETER MEASUREMENTS OF SNOW COVER FROM IN-SITU DATA AND EMISSION MODELS SIMULATION OF SPACEBORNE MICROWAVE RADIOMETER MEASUREMENTS OF SNOW COVER FROM IN-SITU DATA AND EMISSION MODELS Anna Kontu 1 and Jouni Pulliainen 1 1. Finnish Meteorological Institute, Arctic Research,

More information

ADVANCED ATMOSPHERIC BOUNDARY LAYER TEMPERATURE PROFILING WITH MTP-5HE MICROWAVE SYSTEM

ADVANCED ATMOSPHERIC BOUNDARY LAYER TEMPERATURE PROFILING WITH MTP-5HE MICROWAVE SYSTEM ADVANCED ATMOSPHERIC BOUNDARY LAYER TEMPERATURE PROFILING WITH MTP-5HE MICROWAVE SYSTEM E. Kadygrov*, M. Khaikin*, E. Miller*, A. Shaposhnikov*, A. Troitsky** * Central Aerological Observatory, Dolgoprudny,

More information

CLIMATE CHANGE Albedo Forcing ALBEDO FORCING

CLIMATE CHANGE Albedo Forcing ALBEDO FORCING ALBEDO FORCING Albedo forcing is the hypothesis that variations in the Earth s reflectance of solar radiation can bring about global climate change. This hypothesis is undeniable in principle; since virtually

More information

Sensing. 14. Electromagnetic Wave Theory and Remote Electromagnetic Waves. Electromagnetic Wave Theory & Remote Sensing

Sensing. 14. Electromagnetic Wave Theory and Remote Electromagnetic Waves. Electromagnetic Wave Theory & Remote Sensing 14. Electromagnetic Wave Theory and Remote Sensing Academic and Research Staff Prof. J.A. Kong, Dr. W.C. Chew, Dr. S.-L. Chuang, Dr. T.M. Habashy, Dr. L. Tsang, Dr. M.A. Zuniga, Q. Gu, H.-Z. Wang, X. Xu

More information

Microphysical Properties of Single and Mixed-Phase Arctic Clouds Derived From Ground-Based AERI Observations

Microphysical Properties of Single and Mixed-Phase Arctic Clouds Derived From Ground-Based AERI Observations Microphysical Properties of Single and Mixed-Phase Arctic Clouds Derived From Ground-Based AERI Observations Dave Turner University of Wisconsin-Madison Pacific Northwest National Laboratory 8 May 2003

More information

Scattering of EM waves by spherical particles: Overview of Mie Scattering

Scattering of EM waves by spherical particles: Overview of Mie Scattering ATMO 551a Fall 2010 Scattering of EM waves by spherical particles: Overview of Mie Scattering Mie scattering refers to scattering of electromagnetic radiation by spherical particles. Under these conditions

More information

Satellite remote sensing of aerosols & clouds: An introduction

Satellite remote sensing of aerosols & clouds: An introduction Satellite remote sensing of aerosols & clouds: An introduction Jun Wang & Kelly Chance April 27, 2006 junwang@fas.harvard.edu Outline Principals in retrieval of aerosols Principals in retrieval of water

More information

Science Chapter 13,14,15

Science Chapter 13,14,15 Science 1206 Chapter 13,14,15 1 Weather dynamics is the study of how the motion of water and air causes weather patterns. Energy from the Sun drives the motion of clouds, air, and water. Earth s tilt at

More information

Lecture Outlines PowerPoint. Chapter 16 Earth Science 11e Tarbuck/Lutgens

Lecture Outlines PowerPoint. Chapter 16 Earth Science 11e Tarbuck/Lutgens Lecture Outlines PowerPoint Chapter 16 Earth Science 11e Tarbuck/Lutgens 2006 Pearson Prentice Hall This work is protected by United States copyright laws and is provided solely for the use of instructors

More information

Inter-comparison of CRTM and RTTOV in NCEP Global Model

Inter-comparison of CRTM and RTTOV in NCEP Global Model Inter-comparison of CRTM and RTTOV in NCEP Global Model Emily H. C. Liu 1, Andrew Collard 2, Ruiyu Sun 2, Yanqiu Zhu 2 Paul van Delst 2, Dave Groff 2, John Derber 3 1 SRG@NOAA/NCEP/EMC 2 IMSG@NOAA/NCEP/EMC

More information

A NEW METHOD OF RETRIEVAL OF WIND VELOCITY OVER THE SEA SURFACE IN TROPICAL CYCLONES OVER THE DATA OF MICROWAVE MEASUREMENTS. A.F.

A NEW METHOD OF RETRIEVAL OF WIND VELOCITY OVER THE SEA SURFACE IN TROPICAL CYCLONES OVER THE DATA OF MICROWAVE MEASUREMENTS. A.F. A NEW METHOD OF RETRIEVAL OF WIND VELOCITY OVER THE SEA SURFACE IN TROPICAL CYCLONES OVER THE DATA OF MICROWAVE MEASUREMENTS A.F. Nerushev Institute of Experimental Meteorology. 82 Lenin Ave., Obninsk,

More information

Active rain-gauge concept for liquid clouds using W-band and S-band Doppler radars

Active rain-gauge concept for liquid clouds using W-band and S-band Doppler radars Active rain-gauge concept for liquid clouds using W-band and S-band Doppler radars Leyda León-Colón *a, Sandra L. Cruz-Pol *a, Stephen M. Sekelsky **b a Dept. of Electrical and Computer Engineering, Univ.

More information

Solutions Manual to Exercises for Weather & Climate, 8th ed. Appendix A Dimensions and Units 60 Appendix B Earth Measures 62 Appendix C GeoClock 63

Solutions Manual to Exercises for Weather & Climate, 8th ed. Appendix A Dimensions and Units 60 Appendix B Earth Measures 62 Appendix C GeoClock 63 Solutions Manual to Exercises for Weather & Climate, 8th ed. 1 Vertical Structure of the Atmosphere 1 2 Earth Sun Geometry 4 3 The Surface Energy Budget 8 4 The Global Energy Budget 10 5 Atmospheric Moisture

More information

Lambertian surface scattering at AMSU-B frequencies:

Lambertian surface scattering at AMSU-B frequencies: Lambertian surface scattering at AMSU-B frequencies: An analysis of airborne microwave data measured over snowcovered surfaces Chawn Harlow, 2nd Workshop on Remote Sensing and Modeling of Land Surface

More information

Clear-Air Forward Microwave and Millimeterwave Radiative Transfer Models for Arctic Conditions

Clear-Air Forward Microwave and Millimeterwave Radiative Transfer Models for Arctic Conditions Clear-Air Forward Microwave and Millimeterwave Radiative Transfer Models for Arctic Conditions E. R. Westwater 1, D. Cimini 2, V. Mattioli 3, M. Klein 1, V. Leuski 1, A. J. Gasiewski 1 1 Center for Environmental

More information

Spectrum of Radiation. Importance of Radiation Transfer. Radiation Intensity and Wavelength. Lecture 3: Atmospheric Radiative Transfer and Climate

Spectrum of Radiation. Importance of Radiation Transfer. Radiation Intensity and Wavelength. Lecture 3: Atmospheric Radiative Transfer and Climate Lecture 3: Atmospheric Radiative Transfer and Climate Radiation Intensity and Wavelength frequency Planck s constant Solar and infrared radiation selective absorption and emission Selective absorption

More information

RETRIEVAL OF MICROPHYSICAL AND OPTICAL CHARACTERISTICS OF MIXED FRONTAL CLOUDS FROM MULTISPECTRAL SATELLITE DATA

RETRIEVAL OF MICROPHYSICAL AND OPTICAL CHARACTERISTICS OF MIXED FRONTAL CLOUDS FROM MULTISPECTRAL SATELLITE DATA RETRIEVAL OF MICROPHYSICAL AND OPTICAL CHARACTERISTICS OF MIXED FRONTAL CLOUDS FROM MULTISPECTRAL SATELLITE DATA Vladimir Bakhanov, Olexiy Kryvobok, Boris Dorman Ukrainian Hydrometeorological Research

More information

A Microwave Snow Emissivity Model

A Microwave Snow Emissivity Model A Microwave Snow Emissivity Model Fuzhong Weng Joint Center for Satellite Data Assimilation NOAA/NESDIS/Office of Research and Applications, Camp Springs, Maryland and Banghua Yan Decision Systems Technologies

More information

For those 5 x5 boxes that are primarily land, AE_RnGd is simply an average of AE_Rain_L2B; the ensuing discussion pertains entirely to oceanic boxes.

For those 5 x5 boxes that are primarily land, AE_RnGd is simply an average of AE_Rain_L2B; the ensuing discussion pertains entirely to oceanic boxes. AMSR-E Monthly Level-3 Rainfall Accumulations Algorithm Theoretical Basis Document Thomas T. Wilheit Department of Atmospheric Science Texas A&M University 2007 For those 5 x5 boxes that are primarily

More information

Energy: Warming the earth and Atmosphere. air temperature. Overview of the Earth s Atmosphere 9/10/2012. Composition. Chapter 3.

Energy: Warming the earth and Atmosphere. air temperature. Overview of the Earth s Atmosphere 9/10/2012. Composition. Chapter 3. Overview of the Earth s Atmosphere Composition 99% of the atmosphere is within 30km of the Earth s surface. N 2 78% and O 2 21% The percentages represent a constant amount of gas but cycles of destruction

More information

Assimilation of satellite derived soil moisture for weather forecasting

Assimilation of satellite derived soil moisture for weather forecasting Assimilation of satellite derived soil moisture for weather forecasting www.cawcr.gov.au Imtiaz Dharssi and Peter Steinle February 2011 SMOS/SMAP workshop, Monash University Summary In preparation of the

More information

Extinction. Aerosols

Extinction. Aerosols Extinction Extinction is the loss of energy out of a beam of radiation as it propagates. Extinction = absorption + scattering Extinction cross section analogous to the cross-sectional area of absorbers

More information

Meteorological Satellite Image Interpretations, Part III. Acknowledgement: Dr. S. Kidder at Colorado State Univ.

Meteorological Satellite Image Interpretations, Part III. Acknowledgement: Dr. S. Kidder at Colorado State Univ. Meteorological Satellite Image Interpretations, Part III Acknowledgement: Dr. S. Kidder at Colorado State Univ. Dates EAS417 Topics Jan 30 Introduction & Matlab tutorial Feb 1 Satellite orbits & navigation

More information

Advancing Remote-Sensing Methods for Monitoring Geophysical Parameters

Advancing Remote-Sensing Methods for Monitoring Geophysical Parameters Advancing Remote-Sensing Methods for Monitoring Geophysical Parameters Christian Mätzler (Retired from University of Bern) Now consultant for Gamma Remote Sensing, Switzerland matzler@iap.unibe.ch TERENO

More information

Bryan Butler. National Radio Astronomy Observatory. November 23, 1998

Bryan Butler. National Radio Astronomy Observatory. November 23, 1998 MMA Memo. No. 238 Precipitable Water at KP 1993{1998 Bryan Butler National Radio Astronomy Observatory November 23, 1998 Introduction This memo is essentially a clone of MMA Memo No. 237 (also VLA Scientic

More information

Page 1. Name:

Page 1. Name: Name: 1) What is the primary reason New York State is warmer in July than in February? A) The altitude of the noon Sun is greater in February. B) The insolation in New York is greater in July. C) The Earth

More information

An Annual Cycle of Arctic Cloud Microphysics

An Annual Cycle of Arctic Cloud Microphysics An Annual Cycle of Arctic Cloud Microphysics M. D. Shupe Science and Technology Corporation National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado T. Uttal

More information

Climate & Earth System Science. Introduction to Meteorology & Climate. Chapter 05 SOME OBSERVING INSTRUMENTS. Instrument Enclosure.

Climate & Earth System Science. Introduction to Meteorology & Climate. Chapter 05 SOME OBSERVING INSTRUMENTS. Instrument Enclosure. Climate & Earth System Science Introduction to Meteorology & Climate MAPH 10050 Peter Lynch Peter Lynch Meteorology & Climate Centre School of Mathematical Sciences University College Dublin Meteorology

More information

Microwave Remote Sensing of Sea Ice

Microwave Remote Sensing of Sea Ice Microwave Remote Sensing of Sea Ice What is Sea Ice? Passive Microwave Remote Sensing of Sea Ice Basics Sea Ice Concentration Active Microwave Remote Sensing of Sea Ice Basics Sea Ice Type Sea Ice Motion

More information

The Ocean-Atmosphere System II: Oceanic Heat Budget

The Ocean-Atmosphere System II: Oceanic Heat Budget The Ocean-Atmosphere System II: Oceanic Heat Budget C. Chen General Physical Oceanography MAR 555 School for Marine Sciences and Technology Umass-Dartmouth MAR 555 Lecture 2: The Oceanic Heat Budget Q

More information

Final Review Meteorology

Final Review Meteorology Final Review Meteorology Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Which of the following is an example of climate? a. A sudden snowstorm resulted

More information

Modelling and measurement of rainfall by ground-based multispectral microwave radiometry

Modelling and measurement of rainfall by ground-based multispectral microwave radiometry Modelling and measurement of rainfall by ground-based multispectral microwave radiometry Frank S. Marzano 1, Domenico Cimini 1, Randolph Ware 2, Ermanno Fionda 3 and Piero Ciotti 1 1. Center of Excellence

More information

Remote sensing of ice clouds

Remote sensing of ice clouds Remote sensing of ice clouds Carlos Jimenez LERMA, Observatoire de Paris, France GDR microondes, Paris, 09/09/2008 Outline : ice clouds and the climate system : VIS-NIR, IR, mm/sub-mm, active 3. Observing

More information

EXPERIMENTAL STUDY OF RAIN-INDUCED ACCURACY LIMITS FOR MICROWAVE REMOTE TEMPERATURE PROFILING.

EXPERIMENTAL STUDY OF RAIN-INDUCED ACCURACY LIMITS FOR MICROWAVE REMOTE TEMPERATURE PROFILING. EXPERIMENTAL STUDY OF RAIN-INDUCED ACCURACY LIMITS FOR MICROWAVE REMOTE TEMPERATURE PROFILING. Arkady Koldaev*, Evgeny Miller**, Arkady Troitsky***, Sergey Sarichev* *Scientific Production Association

More information

Chapter 2 Available Solar Radiation

Chapter 2 Available Solar Radiation Chapter 2 Available Solar Radiation DEFINITIONS Figure shows the primary radiation fluxes on a surface at or near the ground that are important in connection with solar thermal processes. DEFINITIONS It

More information

Electromagnetic Radiation. Radiation and the Planetary Energy Balance. Electromagnetic Spectrum of the Sun

Electromagnetic Radiation. Radiation and the Planetary Energy Balance. Electromagnetic Spectrum of the Sun Radiation and the Planetary Energy Balance Electromagnetic Radiation Solar radiation warms the planet Conversion of solar energy at the surface Absorption and emission by the atmosphere The greenhouse

More information

NWP SAF. Quantitative precipitation estimation from satellite data. Satellite Application Facility for Numerical Weather Prediction

NWP SAF. Quantitative precipitation estimation from satellite data. Satellite Application Facility for Numerical Weather Prediction NWP SAF Satellite Application Facility for Numerical Weather Prediction Document NWPSAF-MO-VS-011 Version 1.0 15 April 2006 Quantitative precipitation estimation from satellite data Sante Laviola University

More information

Assessing the Radiative Impact of Clouds of Low Optical Depth

Assessing the Radiative Impact of Clouds of Low Optical Depth Assessing the Radiative Impact of Clouds of Low Optical Depth W. O'Hirok and P. Ricchiazzi Institute for Computational Earth System Science University of California Santa Barbara, California C. Gautier

More information

Sami Alhumaidi, Ph.D. Prince Sultan Advanced Technology Institute King Saud University Radar Symposium, Riyadh December 9, 2014

Sami Alhumaidi, Ph.D. Prince Sultan Advanced Technology Institute King Saud University Radar Symposium, Riyadh December 9, 2014 Anomalous Wave Propagation and its Adverse Effects on Military Operations Sami Alhumaidi, Ph.D. Prince Sultan Advanced Technology Institute King Saud University Radar Symposium, Riyadh December 9, 2014

More information

The Effect of Clouds and Rain on the Aquarius Salinity Retrieval

The Effect of Clouds and Rain on the Aquarius Salinity Retrieval The Effect of Clouds and ain on the Aquarius Salinity etrieval Frank J. Wentz 1. adiative Transfer Equations At 1.4 GHz, the radiative transfer model for cloud and rain is considerably simpler than that

More information

Ground-Based Microwave Radiometer Measurements and Radiosonde Comparisons During the WVIOP2000 Field Experiment

Ground-Based Microwave Radiometer Measurements and Radiosonde Comparisons During the WVIOP2000 Field Experiment Ground-Based Microwave Radiometer Measurements and Radiosonde Comparisons During the WVIOP2000 Field Experiment D. Cimini University of L Aquila L Aquil, Italy E. R. Westwater Cooperative Institute for

More information

THE Advance Microwave Sounding Unit (AMSU) measurements

THE Advance Microwave Sounding Unit (AMSU) measurements IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 43, NO. 5, MAY 2005 1087 One-Dimensional Variational Retrieval Algorithm of Temperature, Water Vapor, and Cloud Water Profiles From Advanced Microwave

More information

Lecture 19: Operational Remote Sensing in Visible, IR, and Microwave Channels

Lecture 19: Operational Remote Sensing in Visible, IR, and Microwave Channels MET 4994 Remote Sensing: Radar and Satellite Meteorology MET 5994 Remote Sensing in Meteorology Lecture 19: Operational Remote Sensing in Visible, IR, and Microwave Channels Before you use data from any

More information

Passive Microwave Physics & Basics. Edward Kim NASA/GSFC

Passive Microwave Physics & Basics. Edward Kim NASA/GSFC Passive Microwave Physics & Basics Edward Kim NASA/GSFC ed.kim@nasa.gov NASA Snow Remote Sensing Workshop, Boulder CO, Aug 14 16, 2013 1 Contents How does passive microwave sensing of snow work? What are

More information

Lecture 2: Global Energy Cycle

Lecture 2: Global Energy Cycle Lecture 2: Global Energy Cycle Planetary energy balance Greenhouse Effect Vertical energy balance Solar Flux and Flux Density Solar Luminosity (L) the constant flux of energy put out by the sun L = 3.9

More information

Precipitable water observed by ground-based GPS receivers and microwave radiometry

Precipitable water observed by ground-based GPS receivers and microwave radiometry Earth Planets Space, 52, 445 450, 2000 Precipitable water observed by ground-based GPS receivers and microwave radiometry Yuei-An Liou, Cheng-Yung Huang, and Yu-Tun Teng Center for Space and Remote Sensing

More information

The construction and application of the AMSR-E global microwave emissivity database

The construction and application of the AMSR-E global microwave emissivity database IOP Conference Series: Earth and Environmental Science OPEN ACCESS The construction and application of the AMSR-E global microwave emissivity database To cite this article: Shi Lijuan et al 014 IOP Conf.

More information

CORRELATION OF GLOBAL CLOUDINESS WITH BURSTS IN TOTAL SOLAR IRRADIANCE

CORRELATION OF GLOBAL CLOUDINESS WITH BURSTS IN TOTAL SOLAR IRRADIANCE CORRELATION OF GLOBAL CLOUDINESS WITH BURSTS IN TOTAL SOLAR IRRADIANCE S.V. Avakyan 1,2,3, N.A.Voronin 1, S.S. Kavtrev 3 1 All-Russian Scientific Center S.I. Vavilov State Optical Institute, St. Petersburg,

More information

Introduction to Electromagnetic Radiation and Radiative Transfer

Introduction to Electromagnetic Radiation and Radiative Transfer Introduction to Electromagnetic Radiation and Radiative Transfer Temperature Dice Results Visible light, infrared (IR), ultraviolet (UV), X-rays, γ-rays, microwaves, and radio are all forms of electromagnetic

More information

Chapter 3- Energy Balance and Temperature

Chapter 3- Energy Balance and Temperature Chapter 3- Energy Balance and Temperature Understanding Weather and Climate Aguado and Burt Influences on Insolation Absorption Reflection/Scattering Transmission 1 Absorption An absorber gains energy

More information

Ten years analysis of Tropospheric refractivity variations

Ten years analysis of Tropospheric refractivity variations ANNALS OF GEOPHYSICS, VOL. 47, N. 4, August 2004 Ten years analysis of Tropospheric refractivity variations Stergios A. Isaakidis and Thomas D. Xenos Department of Electrical and Computer Engineering,

More information

1. Base your answer to the following question on the weather map below, which shows a weather system that is affecting part of the United States.

1. Base your answer to the following question on the weather map below, which shows a weather system that is affecting part of the United States. 1. Base your answer to the following question on the weather map below, which shows a weather system that is affecting part of the United States. Which sequence of events forms the clouds associated with

More information

Rain rate retrieval using the 183-WSL algorithm

Rain rate retrieval using the 183-WSL algorithm Rain rate retrieval using the 183-WSL algorithm S. Laviola, and V. Levizzani Institute of Atmospheric Sciences and Climate, National Research Council Bologna, Italy (s.laviola@isac.cnr.it) ABSTRACT High

More information

Chapter Introduction. Weather. Patterns. Forecasts Chapter Wrap-Up

Chapter Introduction. Weather. Patterns. Forecasts Chapter Wrap-Up Chapter Introduction Lesson 1 Lesson 2 Lesson 3 Describing Weather Weather Patterns Weather Forecasts Chapter Wrap-Up How do scientists describe and predict weather? What do you think? Before you begin,

More information

Towards a better use of AMSU over land at ECMWF

Towards a better use of AMSU over land at ECMWF Towards a better use of AMSU over land at ECMWF Blazej Krzeminski 1), Niels Bormann 1), Fatima Karbou 2) and Peter Bauer 1) 1) European Centre for Medium-range Weather Forecasts (ECMWF), Shinfield Park,

More information

ONE-YEAR EXPERIMENT IN NUMERICAL PREDICTION OF MONTHLY MEAN TEMPERATURE IN THE ATMOSPHERE-OCEAN-CONTINENT SYSTEM

ONE-YEAR EXPERIMENT IN NUMERICAL PREDICTION OF MONTHLY MEAN TEMPERATURE IN THE ATMOSPHERE-OCEAN-CONTINENT SYSTEM 71 4 MONTHLY WEATHER REVIEW Vol. 96, No. 10 ONE-YEAR EXPERIMENT IN NUMERICAL PREDICTION OF MONTHLY MEAN TEMPERATURE IN THE ATMOSPHERE-OCEAN-CONTINENT SYSTEM JULIAN ADEM and WARREN J. JACOB Extended Forecast

More information

I T A T I O N H B I T B T V A O C J K M R S A T M O S P H E R E

I T A T I O N H B I T B T V A O C J K M R S A T M O S P H E R E Word Search Directions: Below are definitions of vocabulary terms. Figure out each term and then find and circle it in the puzzle. Words may appear horizontally, vertically, or diagonally. K E M I S S

More information

Thermal Emission from a Layered Medium Bounded by a Slightly Rough Interface

Thermal Emission from a Layered Medium Bounded by a Slightly Rough Interface 368 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 39, NO. 2, FEBRUARY 2001 Thermal Emission from a Layered Medium Bounded by a Slightly Rough Interface Joel T. Johnson, Member, IEEE Abstract

More information

APPLICATIONS WITH METEOROLOGICAL SATELLITES. W. Paul Menzel. Office of Research and Applications NOAA/NESDIS University of Wisconsin Madison, WI

APPLICATIONS WITH METEOROLOGICAL SATELLITES. W. Paul Menzel. Office of Research and Applications NOAA/NESDIS University of Wisconsin Madison, WI APPLICATIONS WITH METEOROLOGICAL SATELLITES by W. Paul Menzel Office of Research and Applications NOAA/NESDIS University of Wisconsin Madison, WI July 2004 Unpublished Work Copyright Pending TABLE OF CONTENTS

More information

Radiation Fluxes During ZCAREX-99: Measurements and Calculations

Radiation Fluxes During ZCAREX-99: Measurements and Calculations Radiation Fluxes During ZCAREX-99: Measurements and Calculations G. S. Golitsyn, P. P. Anikin, E. M. Feigelson, I. A. Gorchakova, I. I. Mokhov, E. V. Romashova, M. A. Sviridenkov, and T. A. Tarasova Oboukhov

More information

A Discussion on the Applicable Condition of Rayleigh Scattering

A Discussion on the Applicable Condition of Rayleigh Scattering www.ijrsa.org International Journal of Remote Sensing Applications (IJRSA) Volume 5, 015 doi: 10.14355/ijrsa.015.05.007 A Discussion on the Applicable Condition of Rayleigh Scattering Nan Li *1, Yiqing

More information

H. Sarkar, Ph.D. 1,2* ; S.K. Midya, Ph.D. 2 ; and S. Goswami, M.Sc. 2

H. Sarkar, Ph.D. 1,2* ; S.K. Midya, Ph.D. 2 ; and S. Goswami, M.Sc. 2 A Comparative Study of Integrated Water Vapor (IWV) and of Attenuation of 94 GHz Signal from Radiometer and Radiosonde Observations during Monsoon Period over Kolkata, India. H. Sarkar, Ph.D. 1,2* ; S.K.

More information

CHAPTER VI EFFECT OF SALINITY ON DIELECTRIC PROPERTIES OF SOILS

CHAPTER VI EFFECT OF SALINITY ON DIELECTRIC PROPERTIES OF SOILS CHAPTER VI EFFECT OF SALINITY ON DIELECTRIC PROPERTIES OF SOILS 6.1 INTRODUCTION: The identification of effect of saline water on soils with their location is useful to both the planner s and farmer s

More information

PHYSICAL GEOGRAPHY. By Brett Lucas

PHYSICAL GEOGRAPHY. By Brett Lucas PHYSICAL GEOGRAPHY By Brett Lucas INTRODUCTION TO ATMOSPHERIC MOISTURE Atmospheric Moisture The Nature of Water The Hydrologic Cycle Evaporation Measures of Humidity Condensation The Buoyancy of Air Precipitation

More information

A study of the NOAA 16 AMSU-A brightness temperatures observed over Libyan Desert

A study of the NOAA 16 AMSU-A brightness temperatures observed over Libyan Desert JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 107, NO. D14, 4226, 10.1029/2001JD001158, 2002 A study of the NOAA 16 AMSU-A brightness temperatures observed over Libyan Desert Tsan Mo Office of Research and Applications,

More information

Weather Studies Introduction to Atmospheric Science

Weather Studies Introduction to Atmospheric Science Weather Studies Introduction to Atmospheric Science American Meteorological Society Chapter 1 Monitoring The Weather Credit: This presentation was prepared for AMS by Michael Leach, Professor of Geography

More information

Science 1206 Chapter 1 - Inquiring about Weather

Science 1206 Chapter 1 - Inquiring about Weather Science 1206 Chapter 1 - Inquiring about Weather 1.1 - The Atmosphere: Energy Transfer and Properties (pp. 10-25) Weather and the Atmosphere weather the physical conditions of the atmosphere at a specific

More information

Outline. December 14, Applications Scattering. Chemical components. Forward model Radiometry Data retrieval. Applications in remote sensing

Outline. December 14, Applications Scattering. Chemical components. Forward model Radiometry Data retrieval. Applications in remote sensing in in December 4, 27 Outline in 2 : RTE Consider plane parallel Propagation of a signal with intensity (radiance) I ν from the top of the to a receiver on Earth Take a layer of thickness dz Layer will

More information

PASSIVE MICROWAVE IMAGING. Dr. A. Bhattacharya

PASSIVE MICROWAVE IMAGING. Dr. A. Bhattacharya 1 PASSIVE MICROWAVE IMAGING Dr. A. Bhattacharya 2 Basic Principles of Passive Microwave Imaging Imaging with passive microwave is a complementary technology that needs an introduction to identify its role

More information

Earth s Heat Budget. What causes the seasons? Seasons

Earth s Heat Budget. What causes the seasons? Seasons Earth s Heat Budget Solar energy and the global heat budget Transfer of heat drives weather and climate Ocean circulation A. Rotation of the Earth B. Distance from the Sun C. Variations of Earth s orbit

More information

1. The frequency of an electromagnetic wave is proportional to its wavelength. a. directly *b. inversely

1. The frequency of an electromagnetic wave is proportional to its wavelength. a. directly *b. inversely CHAPTER 3 SOLAR AND TERRESTRIAL RADIATION MULTIPLE CHOICE QUESTIONS 1. The frequency of an electromagnetic wave is proportional to its wavelength. a. directly *b. inversely 2. is the distance between successive

More information

MAPH & & & & & & 02 LECTURE

MAPH & & & & & & 02 LECTURE Climate & Earth System Science Introduction to Meteorology & Climate MAPH 10050 Peter Lynch Peter Lynch Meteorology & Climate Centre School of Mathematical Sciences University College Dublin Meteorology

More information

GPS RO Retrieval Improvements in Ice Clouds

GPS RO Retrieval Improvements in Ice Clouds Joint COSMIC Tenth Data Users Workshop and IROWG-6 Meeting GPS RO Retrieval Improvements in Ice Clouds Xiaolei Zou Earth System Science Interdisciplinary Center (ESSIC) University of Maryland, USA September

More information

ATMO/OPTI 656b Spring Scattering of EM waves by spherical particles: Mie Scattering

ATMO/OPTI 656b Spring Scattering of EM waves by spherical particles: Mie Scattering Scattering of EM waves by spherical particles: Mie Scattering Why do we care about particle scattering? Examples of scattering aerosols (note: ugly looking air when the relative humidity > 80%) clouds,

More information

Preface to the Second Edition. Preface to the First Edition

Preface to the Second Edition. Preface to the First Edition Contents Preface to the Second Edition Preface to the First Edition iii v 1 Introduction 1 1.1 Relevance for Climate and Weather........... 1 1.1.1 Solar Radiation.................. 2 1.1.2 Thermal Infrared

More information

Chapter 11 Lecture Outline. Heating the Atmosphere

Chapter 11 Lecture Outline. Heating the Atmosphere Chapter 11 Lecture Outline Heating the Atmosphere They are still here! Focus on the Atmosphere Weather Occurs over a short period of time Constantly changing Climate Averaged over a long period of time

More information

Lecture Notes Prepared by Mike Foster Spring 2007

Lecture Notes Prepared by Mike Foster Spring 2007 Lecture Notes Prepared by Mike Foster Spring 2007 Solar Radiation Sources: K. N. Liou (2002) An Introduction to Atmospheric Radiation, Chapter 1, 2 S. Q. Kidder & T. H. Vander Haar (1995) Satellite Meteorology:

More information

SPECTRUM. Dispersion. This phenomenon can be observed in a lab environment using a

SPECTRUM. Dispersion. This phenomenon can be observed in a lab environment using a SPECTRUM Dispersion The phenomenon due to which a polychromatic light, like sunlight, splits into its component colours, when passed through a transparent medium like a glass prism, is called dispersion

More information

Effects of Possible Scan Geometries on the Accuracy of Satellite Measurements of Water Vapor

Effects of Possible Scan Geometries on the Accuracy of Satellite Measurements of Water Vapor 1710 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 16 Effects of Possible Scan Geometries on the Accuracy of Satellite Measurements of Water Vapor LARRY M. MCMILLIN National Environmental Satellite,

More information

The retrieval of the atmospheric humidity parameters from NOAA/AMSU data for winter season.

The retrieval of the atmospheric humidity parameters from NOAA/AMSU data for winter season. The retrieval of the atmospheric humidity parameters from NOAA/AMSU data for winter season. Izabela Dyras, Bożena Łapeta, Danuta Serafin-Rek Satellite Research Department, Institute of Meteorology and

More information