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164 results on '"Menzel, W. P."'

3. Search for Lepton Flavor Violation in $K^+$ Decays

Author

Appel, R., Atoyan, G. S., Bassalleck, B., Bergman, D., Cheung, N., Dhawan, S., Do, H., Egger, J., Eilerts, S., Fischer, H., Herold, W., Issakov, V. V., Kaspar, H., Kraus, D. E., Lazarus, D. M., Lichard, P., Lowe, J., Lozano, J., Ma, H., Majid, W., Menzel, W., Pislak, S., Poblaguev, A. A., Rehak, P., Sher, A., Thompson, J. A., Truoel, P., and Zeller, M. E.

Subjects
High Energy Physics - Experiment
Abstract

A search for lepton flavor violating decays, \kmmp, \keep, \kpem, \kmep and \pizem, was performed using the data collected in E865 at the Brookhaven Alternating Gradient Synchrotron. No signal was found in any of the decay modes. At the 90% confidence level, the branching ratios are less than $3.0\times10^{-9}$, $6.4\times10^{-10}$, $5.2\times10^{-10}$, $5.0\times10^{-10}$ and $3.4\times10^{-9}$ respectively., Comment: one latex file (prllfv.tex), 4 pages, 6 Figs in eps

Published
2000
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4. An Improved Limit on the Rate Of Decay K+ -> pi+ mu+ e-

Author

Appel, R., Atoyan, G. S., Bassalleck, B., Bergman, D. R., Brown, D. N., Cheung, N., Dhawan, S., Do, H., Egger, J., Eilerts, S., Felder, C., Fischer, H., Gach, M., Herold, W., Issakov, V. V., Kaspar, H., Kraus, D. E., Lazarus, D. M., Leipuner, L., Lichard, P., Lowe, J., Lozano, J., Ma, H., Majid, W., Menzel, W., Pislak, S., Poblaguev, A. A., Postoev, V. E., Proskurjakov, A. L., Rehak, P., Robmann, P., Sher, A., Thompson, J. A., Truoel, P., Weyer, H., and Zeller, M. E.

Subjects
High Energy Physics - Experiment
Abstract

The experiment E865 at BNL places an upper limit on the branching ratio for the decay K+ -> pi+ mu+ e- of 3.9x10^-11 (90% C.L.). Along with with other results this yields a combined upper limit on this branching ratio of 2.8x10^-11. A new upper limit on the branching ratio for pi0 -> mu+ e- of 3.8x10^-10 (90% C.L.) is also established. The experiment and analysis are described., Comment: 5 pages, 4 figures, Submitted to Phys. Rev. Lett

Published
2000
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5. A New Measurement of the Rare Decay $K^+\to \pi^+ \mu^+ \mu^-$

Author

Ma, H., Appel, R., Atoyan, G. S., Bassalleck, B., Bergman, D., Cheung, N., Dhawan, S., Do, H., Egger, J., Eilerts, S., Fischer, H., Herold, W., Issakov, V. V., Kaspar, H., Kraus, D. E., Lazarus, D. M., Lichard, P., Lowe, J., Lozano, J., Majid, W., Menzel, W., Pislak, S., Poblaguev, A. A., Rehak, P., Sher, A., Thompson, J. A., Truoel, P., and Zeller, M. E.

Subjects
High Energy Physics - Experiment
Abstract

More than 400 $K^{+}\to\pi^{+}\mu^+\mu^-$ events were observed in a rare $K^+$ decay experiment at the AGS. Normalized to the $K^{+}\to\pi^{+}\pi^+\pi^-$ decay, the branching ratio is determined to be $(9.22 \pm 0.60 (stat) \pm 0.49 (syst))\times 10^{-8}$. This branching ratio and the $\mu\mu$ mass spectrum is in very good agreement with the measurement of the $K^{+}\to\pi^{+}e^+e^-$ decay, but deviates significantly from the previous measurement., Comment: 4 pages, 6 figures in 7 eps files. Paper to be submitted to Phys Rev Lett

Published
1999
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13. Improving the Understanding of CrIS Full Spectral Resolution Nonlocal Thermodynamic Equilibrium Radiances Using Spectral Correlation

Author

National Oceanic and Atmospheric Administration (US), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Li, Z., Menzel, W. P., Jung, J., Lim, A., Li, J., Matricardi, M., López-Puertas, Manuel, DeSouza-Machado, S., Strow, L. L., National Oceanic and Atmospheric Administration (US), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Li, Z., Menzel, W. P., Jung, J., Lim, A., Li, J., Matricardi, M., López-Puertas, Manuel, DeSouza-Machado, S., and Strow, L. L.

Abstract

In recent years, significant progress has been made in fast radiative transfer model (RTM) simulation of daytime nonlocal thermodynamic equilibrium (NLTE) emission. However, NLTE remains as one important reason that prevents the hyperspectral shortwave infrared (SWIR) radiance observations from being assimilated into numerical weather prediction (NWP) models. To better understand the limitations of existing RTM-based NLTE simulation, this study introduces a new statistical method, called Spectral Correlations to Estimate Non-Local Thermal Equilibrium (SCENTE), to estimate the NLTE radiances in the Cross-track Infrared Sounder (CrIS) SWIR radiance observations. SCENTE is applied to four typical season days, including spring equinox, summer solstice, fall equinox, and winter solstice. By analyzing calculation/background minus observation (BMO) of CrIS SWIR brightness temperature (BT), results show that SCENTE characterizes the NLTE well with standard deviation of differences (STD) comparable to observation noise for both daytime and nighttime, while the community RTM (CRTM) has substantially larger STD at night, mainly due to the lack of daytime NLTE just beyond the day/night terminator and the lack of aurora-related NLTE. Detailed investigation of the biases of BMO shows that CRTM underestimates daytime SWIR NLTE effects by 0.76 K, while SCENTE overestimates SWIR NLTE effects by 0.70 K. The overestimation is because SCENTE uses CRTM-simulated SWIR local thermodynamic equilibrium (LTE) radiances in the training, which is underestimated by 0.70 K in BT. SCENTE, complementary to RTM-based simulations, can be used for quality control of SWIR radiances for assimilation and retrieval of atmospheric soundings. ©2020. American Geophysical Union. All Rights Reserved

Published
2020

16. Detection of Multi-Layer and Vertically-Extended Clouds Using A-Train Sensors

Author

Joiner, J, Vasilkov, A. P, Bhartia, P. K, Wind, G, Platnick, S, and Menzel, W. P

Subjects
Meteorology And Climatology
Abstract

The detection of mUltiple cloud layers using satellite observations is important for retrieval algorithms as well as climate applications. In this paper, we describe a relatively simple algorithm to detect multiple cloud layers and distinguish them from vertically-extended clouds. The algorithm can be applied to coincident passive sensors that derive both cloud-top pressure from the thermal infrared observations and an estimate of solar photon pathlength from UV, visible, or near-IR measurements. Here, we use data from the A-train afternoon constellation of satellites: cloud-top pressure, cloud optical thickness, the multi-layer flag from the Aqua MODerate-resolution Imaging Spectroradiometer (MODIS) and the optical centroid cloud pressure from the Aura Ozone Monitoring Instrument (OMI). For the first time, we use data from the CloudSat radar to evaluate the results of a multi-layer cloud detection scheme. The cloud classification algorithms applied with different passive sensor configurations compare well with each other as well as with data from CloudSat. We compute monthly mean fractions of pixels containing multi-layer and vertically-extended clouds for January and July 2007 at the OMI spatial resolution (l2kmx24km at nadir) and at the 5kmx5km MODIS resolution used for infrared cloud retrievals. There are seasonal variations in the spatial distribution of the different cloud types. The fraction of cloudy pixels containing distinct multi-layer cloud is a strong function of the pixel size. Globally averaged, these fractions are approximately 20% and 10% for OMI and MODIS, respectively. These fractions may be significantly higher or lower depending upon location. There is a much smaller resolution dependence for fractions of pixels containing vertically-extended clouds (approx.20% for OMI and slightly less for MODIS globally), suggesting larger spatial scales for these clouds. We also find higher fractions of vertically-extended clouds over land as compared with ocean, particularly in the tropics and summer hemisphere.

Published
2010

17. State of the Climate in 2018

Author

Arndt, D. S., Blunden, J., Dunn, R. J. H., Stanitski, D. M., Gobron, N., Willett, K. M., Sanchez-lugo, A., Berrisford, P., Morice, C., Nicolas, Jp, Carrea, L., Woolway, R. I., Merchant, C. J., Dokulil, M. T., De Eyto, E., Degasperi, C. L., Korhonen, J., Marszelewski, W., May, L., Paterson, A. M., Rusak, J. A., Schladow, S. G., Schmid, M., Verburg, P., Watanabe, S., Weyhenmeyer, G. A., King, A. D., Donat, M. G., Christy, J. R., Po-chedley, S., Mears, C. R., Haimberger, L., Covey, C., Randel, W., Noetzli, J., Biskaborn, B. K., Christiansen, H. H., Isaksen, K., Schoeneich, P., Smith, S., Vieira, G., Zhao, L., Streletskiy, D. A., Robinson, D. A., Pelto, M., Berry, D. I., Bosilovich, M. G., Simmons, A. J., Mears, C., Ho, S. P., Bock, O., Zhou, X., Nicolas, J, Vose, R. S., Adler, R., Gu, G., Becker, A., Yin, X, Tye, M. R., Blenkinsop, S., Durre, I., Ziese, M., Collow, A. B. Marquardt, Rustemeier, E., Foster, M. J., Di Girolamo, L., Frey, R. A., Heidinger, A. K., Sun-mack, S., Phillips, C., Menzel, W. P., Stengel, M., Zhao, G., Kim, H., Rodell, M., Li, B., Famiglietti, J. S., Scanlon, T., Van Der Schalie, R., Preimesberger, W., Reimer, C., Hahn, S., Gruber, A., Kidd, R., De Jeu, R. A. M., Dorigo, W. A., Barichivich, J., Osborn, T. J., Harris, I., Van Der Schrier, G., Jones, P. D., Miralles, D. G., Martens, B., Beck, H. E., Dolman, A. J., Jimenez, C., Mccabe, M. F., Wood, E. F., Allan, R., Azorin-molina, C., Mears, C. A., Mcvicar, T. R., Mayer, M., Schenzinger, V., Hersbach, H., Stackhouse, P. W., Jr., Wong, T., Kratz, D. P., Sawaengphokhai, P., Wilber, A. C., Gupta, S. K., Loeb, N. G., Dlugokencky, E. J., Hall, B. D., Montzka, S. A., Dutton, G., Muhle, J., Elkins, J. W., Miller, Br, Remy, S., Bellouin, N., Kipling, Z., Ades, M., Benedetti, A., Boucher, O., Weber, M., Steinbrecht, W., Arosio, C., Van Der A, R., Frith, S. M., Anderson, J., Coldewey-egbers, M., Davis, S., Degenstein, D., Fioletov, V. E., Froidevaux, L., Hubert, D., Long, C. S., Loyola, D., Rozanov, A., Roth, C., Sofieva, V., Tourpali, K., Wang, R., Wild, J. D., Davis, S. M., Rosenlof, K. H., Hurst, D. F., Selkirk, H. B., Vomel, H., Ziemke, J. R., Cooper, O. R., Flemming, J., Inness, A., Pinty, B., Kaiser, J. W., Van Der Werf, G. R., Hemming, D. L., Garforth, J., Park, T., Richardson, A. D., Rutishauser, T., Sparks, T. H., Thackeray, S. J., Myneni, R., Lumpkin, R., Huang, B., Kennedy, J., Xue, Y., Zhang, H. -m., Hu, C., Wang, M., Johnson, G. C., Lyman, J. M., Boyer, T., Cheng, L., Domingues, C. M., Gilson, J., Ishii, M., Killick, R. E., Monselesan, D., Purkey, S. G., Wijffels, S. E., Locarnini, R., Yu, L., Jin, X., Stackhouse, P. W., Kato, S., Weller, R. A., Thompson, P. R., Widlansky, M. J., Leuliette, E., Sweet, W., Chambers, D. P., Hamlington, B. D., Jevrejeva, S., Marra, J. J., Merrifield, M. A., Mitchum, G. T., Nerem, R. S., Kelble, C., Karnauskas, M., Hubbard, K., Goni, G., Streeter, C., Dohan, K., Franz, B. A., Cetinic, I., Karakoylu, E. M., Siegel, D. A., Westberry, T. K., Feely, R. A., Wanninkhof, R., Carter, B. R., Landschutzer, P., Sutton, A. J., Cosca, C., Trinanes, J. A., Baxter, S., Schreck, C., Bell, G. D., Mullan, A. B., Pezza, A. B., Coelho, C. A. S., Wang, B., He, Q., Diamond, H. J., Schreck, C. J., Blake, E. S., Landsea, C. W., Wang, H., Goldenberg, S. B., Pasch, R. J., Klotzbach, P. J., Kruk, M. C., Camargo, S. J., Trewin, B. C., Pearce, P. R., Lorrey, A. M., Domingues, R., Goni, G. J., Knaff, J. A., Lin, I. -i., Bringas, F., Richter-menge, J., Osborne, E., Druckenmiller, M., Jeffries, M. O., Overland, J. E., Hanna, E., Hanssen-bauer, I., Kim, S. -j., Walsh, J. E., Bhatt, U. S., Timmermans, M. -l., Ladd, C., Perovich, D., Meier, W., Tschudi, M., Farrell, S., Hendricks, S., Gerland, S., Haas, C., Krumpen, T., Polashenski, C., Ricker, R, Webster, M., Stabeno, P. J., Tedesco, M., Box, J. E., Cappelen, J., Fausto, R. S., Fettweis, X., Andersen, J. K., Mote, T., Smeets, C. J. P. P., Van As, D., Van De Wal, R. S. W., Romanovsky, V. E., Smith, S. L., Shiklomanov, N. I., Kholodov, A. L., Drozdov, D. S., Malkova, G. V., Marchenko, S. S., Jella, K. B., Mudryk, L., Brown, R., Derksen, C., Luojus, K., Decharme, B., Holmes, R. M., Shiklomanov, A. I., Suslova, A., Tretiakov, M., Mcclelland, J. W., Spencer, R. G. M., Tank, S. E., Epstein, H., Bhatt, U., Raynolds, M., Walker, D., Forbes, B., Phoenix, G., Bjerke, J., Tommervik, H., Karlsen, S. -r., Goetz, S., Jia, G., Bernhard, G. H., Grooss, J. -u., Ialongo, I., Johnsen, B., Lakkala, K., Manney, G. L., Mueller, R., Scambos, T., Stammerjohn, S., Clem, K. R., Barreira, S., Fogt, R. L., Colwell, S., Keller, L. M., Lazzara, M. A., Reid, P., Massom, R. A., Lieser, J. L., Meijers, A., Sallee, J. -b., Grey, A., Johnson, K., Arrigo, K., Swart, S., King, B., Meredith, M., Mazloff, M., Scardilli, A., Claus, F., Shuman, C. A., Kramarova, N., Newman, P. A., Nash, E. R., Strahan, S. E., Johnson, B., Pitts, M., Santee, M. L., Petropavlovskikh, I., Braathen, G. O., Coy, L., De Laat, J., Bissolli, P., Ganter, C., Li, T., Mekonnen, A., Gleason, K., Smith, A., Fenimore, C., Heim, R. R., Jr., Nauslar, N. J., Brown, T. J., Mcevoy, D. J., Lareau, N. P., Amador, J. A., Hidalgo, H. G., Alfaro, E. J., Calderon, B., Mora, N., Stephenson, T. S., Taylor, M. A., Trotman, A. R., Van Meerbeeck, C. J., Campbell, J. D., Brown, A., Spence, J., Martinez, R., Diaz, E., Marin, D., Hernandez, R., Caceres, L., Zambrano, E., Nieto, J., Marengo, J. A., Espinoza, J. C., Alves, L. M., Ronchail, J., Lavado-casimiro, J. W., Ramos, I., Davila, C., Ramos, A. M., Diniz, F. A., Aliaga-nestares, V., Castro, A. Y., Stella, J. L., Aldeco, L. S., Diaz, D. A. Campos, Misevicius, N., Kabidi, K., Sayouri, A., Elkharrim, M., Mostafa, A. E., Hagos, S., Feng, Z., Ijampy, J. A., Sima, F., Francis, S. D., Tsidu, G. Mengistu, Kruger, A. C., Mcbride, C., Jumaux, G., Dhurmea, K. R., Belmont, M., Rakotoarimalala, C. L., Labbe, L., Rosner, B., Benedict, I., Van Heerwaarden, C., Weerts, A., Hazeleger, W., Trachte, K., Zhu, Z., Zhang, P., Lee, T. C., Ripaldi, A., Mochizuki, Y., Lim, J. -y, Oyunjargal, L., Timbal, B., Srivastava, A. K., Revadekar, J. V., Rajeevan, M., Shimpo, A., Khoshkam, M., Kazemi, A. Fazl, Zeyaeyan, S., Lander, M. A., Mcgree, S., Tobin, S., Bettio, L., Arndt, D. S., Blunden, J., Dunn, R. J. H., Stanitski, D. M., Gobron, N., Willett, K. M., Sanchez-lugo, A., Berrisford, P., Morice, C., Nicolas, Jp, Carrea, L., Woolway, R. I., Merchant, C. J., Dokulil, M. T., De Eyto, E., Degasperi, C. L., Korhonen, J., Marszelewski, W., May, L., Paterson, A. M., Rusak, J. A., Schladow, S. G., Schmid, M., Verburg, P., Watanabe, S., Weyhenmeyer, G. A., King, A. D., Donat, M. G., Christy, J. R., Po-chedley, S., Mears, C. R., Haimberger, L., Covey, C., Randel, W., Noetzli, J., Biskaborn, B. K., Christiansen, H. H., Isaksen, K., Schoeneich, P., Smith, S., Vieira, G., Zhao, L., Streletskiy, D. A., Robinson, D. A., Pelto, M., Berry, D. I., Bosilovich, M. G., Simmons, A. J., Mears, C., Ho, S. P., Bock, O., Zhou, X., Nicolas, J, Vose, R. S., Adler, R., Gu, G., Becker, A., Yin, X, Tye, M. R., Blenkinsop, S., Durre, I., Ziese, M., Collow, A. B. Marquardt, Rustemeier, E., Foster, M. J., Di Girolamo, L., Frey, R. A., Heidinger, A. K., Sun-mack, S., Phillips, C., Menzel, W. P., Stengel, M., Zhao, G., Kim, H., Rodell, M., Li, B., Famiglietti, J. S., Scanlon, T., Van Der Schalie, R., Preimesberger, W., Reimer, C., Hahn, S., Gruber, A., Kidd, R., De Jeu, R. A. M., Dorigo, W. A., Barichivich, J., Osborn, T. J., Harris, I., Van Der Schrier, G., Jones, P. D., Miralles, D. G., Martens, B., Beck, H. E., Dolman, A. J., Jimenez, C., Mccabe, M. F., Wood, E. F., Allan, R., Azorin-molina, C., Mears, C. A., Mcvicar, T. R., Mayer, M., Schenzinger, V., Hersbach, H., Stackhouse, P. W., Jr., Wong, T., Kratz, D. P., Sawaengphokhai, P., Wilber, A. C., Gupta, S. K., Loeb, N. G., Dlugokencky, E. J., Hall, B. D., Montzka, S. A., Dutton, G., Muhle, J., Elkins, J. W., Miller, Br, Remy, S., Bellouin, N., Kipling, Z., Ades, M., Benedetti, A., Boucher, O., Weber, M., Steinbrecht, W., Arosio, C., Van Der A, R., Frith, S. M., Anderson, J., Coldewey-egbers, M., Davis, S., Degenstein, D., Fioletov, V. E., Froidevaux, L., Hubert, D., Long, C. S., Loyola, D., Rozanov, A., Roth, C., Sofieva, V., Tourpali, K., Wang, R., Wild, J. D., Davis, S. M., Rosenlof, K. H., Hurst, D. F., Selkirk, H. B., Vomel, H., Ziemke, J. R., Cooper, O. R., Flemming, J., Inness, A., Pinty, B., Kaiser, J. W., Van Der Werf, G. R., Hemming, D. L., Garforth, J., Park, T., Richardson, A. D., Rutishauser, T., Sparks, T. H., Thackeray, S. J., Myneni, R., Lumpkin, R., Huang, B., Kennedy, J., Xue, Y., Zhang, H. -m., Hu, C., Wang, M., Johnson, G. C., Lyman, J. M., Boyer, T., Cheng, L., Domingues, C. M., Gilson, J., Ishii, M., Killick, R. E., Monselesan, D., Purkey, S. G., Wijffels, S. E., Locarnini, R., Yu, L., Jin, X., Stackhouse, P. W., Kato, S., Weller, R. A., Thompson, P. R., Widlansky, M. J., Leuliette, E., Sweet, W., Chambers, D. P., Hamlington, B. D., Jevrejeva, S., Marra, J. J., Merrifield, M. A., Mitchum, G. T., Nerem, R. S., Kelble, C., Karnauskas, M., Hubbard, K., Goni, G., Streeter, C., Dohan, K., Franz, B. A., Cetinic, I., Karakoylu, E. M., Siegel, D. A., Westberry, T. K., Feely, R. A., Wanninkhof, R., Carter, B. R., Landschutzer, P., Sutton, A. J., Cosca, C., Trinanes, J. A., Baxter, S., Schreck, C., Bell, G. D., Mullan, A. B., Pezza, A. B., Coelho, C. A. S., Wang, B., He, Q., Diamond, H. J., Schreck, C. J., Blake, E. S., Landsea, C. W., Wang, H., Goldenberg, S. B., Pasch, R. J., Klotzbach, P. J., Kruk, M. C., Camargo, S. J., Trewin, B. C., Pearce, P. R., Lorrey, A. M., Domingues, R., Goni, G. J., Knaff, J. A., Lin, I. -i., Bringas, F., Richter-menge, J., Osborne, E., Druckenmiller, M., Jeffries, M. O., Overland, J. E., Hanna, E., Hanssen-bauer, I., Kim, S. -j., Walsh, J. E., Bhatt, U. S., Timmermans, M. -l., Ladd, C., Perovich, D., Meier, W., Tschudi, M., Farrell, S., Hendricks, S., Gerland, S., Haas, C., Krumpen, T., Polashenski, C., Ricker, R, Webster, M., Stabeno, P. J., Tedesco, M., Box, J. E., Cappelen, J., Fausto, R. S., Fettweis, X., Andersen, J. K., Mote, T., Smeets, C. J. P. P., Van As, D., Van De Wal, R. S. W., Romanovsky, V. E., Smith, S. L., Shiklomanov, N. I., Kholodov, A. L., Drozdov, D. S., Malkova, G. V., Marchenko, S. S., Jella, K. B., Mudryk, L., Brown, R., Derksen, C., Luojus, K., Decharme, B., Holmes, R. M., Shiklomanov, A. I., Suslova, A., Tretiakov, M., Mcclelland, J. W., Spencer, R. G. M., Tank, S. E., Epstein, H., Bhatt, U., Raynolds, M., Walker, D., Forbes, B., Phoenix, G., Bjerke, J., Tommervik, H., Karlsen, S. -r., Goetz, S., Jia, G., Bernhard, G. H., Grooss, J. -u., Ialongo, I., Johnsen, B., Lakkala, K., Manney, G. L., Mueller, R., Scambos, T., Stammerjohn, S., Clem, K. R., Barreira, S., Fogt, R. L., Colwell, S., Keller, L. M., Lazzara, M. A., Reid, P., Massom, R. A., Lieser, J. L., Meijers, A., Sallee, J. -b., Grey, A., Johnson, K., Arrigo, K., Swart, S., King, B., Meredith, M., Mazloff, M., Scardilli, A., Claus, F., Shuman, C. A., Kramarova, N., Newman, P. A., Nash, E. R., Strahan, S. E., Johnson, B., Pitts, M., Santee, M. L., Petropavlovskikh, I., Braathen, G. O., Coy, L., De Laat, J., Bissolli, P., Ganter, C., Li, T., Mekonnen, A., Gleason, K., Smith, A., Fenimore, C., Heim, R. R., Jr., Nauslar, N. J., Brown, T. J., Mcevoy, D. J., Lareau, N. P., Amador, J. A., Hidalgo, H. G., Alfaro, E. J., Calderon, B., Mora, N., Stephenson, T. S., Taylor, M. A., Trotman, A. R., Van Meerbeeck, C. J., Campbell, J. D., Brown, A., Spence, J., Martinez, R., Diaz, E., Marin, D., Hernandez, R., Caceres, L., Zambrano, E., Nieto, J., Marengo, J. A., Espinoza, J. C., Alves, L. M., Ronchail, J., Lavado-casimiro, J. W., Ramos, I., Davila, C., Ramos, A. M., Diniz, F. A., Aliaga-nestares, V., Castro, A. Y., Stella, J. L., Aldeco, L. S., Diaz, D. A. Campos, Misevicius, N., Kabidi, K., Sayouri, A., Elkharrim, M., Mostafa, A. E., Hagos, S., Feng, Z., Ijampy, J. A., Sima, F., Francis, S. D., Tsidu, G. Mengistu, Kruger, A. C., Mcbride, C., Jumaux, G., Dhurmea, K. R., Belmont, M., Rakotoarimalala, C. L., Labbe, L., Rosner, B., Benedict, I., Van Heerwaarden, C., Weerts, A., Hazeleger, W., Trachte, K., Zhu, Z., Zhang, P., Lee, T. C., Ripaldi, A., Mochizuki, Y., Lim, J. -y, Oyunjargal, L., Timbal, B., Srivastava, A. K., Revadekar, J. V., Rajeevan, M., Shimpo, A., Khoshkam, M., Kazemi, A. Fazl, Zeyaeyan, S., Lander, M. A., Mcgree, S., Tobin, S., and Bettio, L.

Published
2019

18. MODIS Cloud Products Derived from Terra and Aqua During CRYSTAL-FACE

Author

King, Michael D, Platnick, S, Riedi, J. C, Ackerman, S. A, and Menzel, W. P

Subjects
Meteorology And Climatology
Abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS), developed as part of the Earth Observing System (EOS) and launched on Terra in December 1999 and Aqua in May 2002, is designed to meet the scientific needs for satellite remote sensing of clouds, aerosols, water vapor, and land and ocean surface properties. During the CRYSTAL-FACE experiment, numerous aircraft coordinated both in situ and remote sensing observations with the Terra and Aqua spacecraft. In this paper we will emphasize the optical, microphysical, and physical properties of both liquid water and ice clouds obtained from an analysis of the satellite observations over Florida and the Gulf of Mexico during July 2002. We will present the frequency distribution of liquid water and ice cloud microphysical properties throughout the region, separating the results over land and ocean. Probability distributions of effective radius and cloud optical thickness will also be shown.

Published
2003

19. Recent Monitoring of Suspended Sediment Patterns along Louisiana's Coastal Zone using ER-2 based MAS Data and Terra Based MODIS Data

Author

Moeller, Christopher C, Gunshor, M. M, Menzel, W. P, Huh, O. K, Walker, N. D, and Rouse, L. J

Subjects
Earth Resources And Remote Sensing
Abstract

The University nf Wisconsin and Louisiana State University have teamed to study the forcing of winter season cold frontal wind systems on sediment distribution patterns and geomorphology in the Louisiana coastal zone. Wind systems associated with cold fronts have been shown to model coastal circulation and resuspend sediments along the micro tidal Louisiana coast (Roberts et at. 1987, Moeller et al. 1993). Remote sensing data is being used to map and track sediment distribution patterns for various wind conditions. Suspended sediment is a building material for coastal progradation and wetlands renewal, but also restricts access to marine nursery environments and impacts oyster bed health. Transferring a suspended sediment concentration (SSC) algorithm to EOS MODerate resolution Imaging Spectroradiometer (MODIS; Barnes et al. 1998) observations may enable estimates of SSC globally.

Published
2001

20. Early Results from the MODIS Atmosphere Cloud Algorithms

Author

Platnick, S, Ackerman, S. A, King, M. D, Menzel, W. P, Gao, B.-C, and Einaudi, Franco

Subjects
Geophysics
Abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS) is one of five instruments aboard the Terra Earth Observing System platform launched in December 1999. With 36 spectral bands from the visible through the infrared, and spatial resolution from 250m to 1km, the instrument provides an unprecedented opportunity for global cloud studies. A comprehensive set of remote sensing algorithms for cloud masking and retrieval of cloud physical and optical properties have been developed by members of the MODIS atmosphere team. The archived products from these algorithms have applications in climate change studies, climate modeling, numerical weather prediction, as well as fundamental atmospheric research. In addition to an extensive cloud mask, products include cloud top physical parameters (temperature, pressure, emissivity), cloud phase, cloud optical parameters (optical depth, effective particle radius, water path), visible cirrus reflectance, a contrail flag, and other derived parameters. All products are archived into two categories: pixel-level retrievals at a 1 km or 5 km spatial resolution at nadir (referred to as Level-2 products) and 1 degree global gridded statistics (Level-3 products). An overview of the MODIS atmosphere algorithms and products, their status, validation activities, and early level-2 and -3 results will be presented.

Published
2000

21. State of the climate in 2016

Author

Aaron-Morrison, A. P., Ackerman, S. A., Adams, N. G., Adler, R. F., Albanil, A., Alfaro, E. J., Allan, R., Alves, L. M., Amador, J. A., Andreassen, L. M., Arendt, A., Arévalo, J., Arndt, D. S., Arzhanova, N. M., Aschan, M. M., Azorin-Molina, C., Banzon, V., Bardin, M. U., Barichivich, J., Baringer, M. O., Barreira, S., Baxter, S., Bazo, J., Becker, A., Bedka, K. M., Behrenfeld, M. J., Bell, G. D., Belmont, M., Benedetti, A., Bernhard, G., Berrisford, P., Berry, D. I., Bettolli, M. L., Bhatt, U. S., Bidegain, M., Bill, B. D., Billheimer, S., Bissolli, P., Blake, E. S., Blunden, J., Bosilovich, M. G., Boucher, O., Boudet, D., Box, J. E., Boyer, T., Braathen, G. O., Bromwich, D. H., Brown, R., Bulygina, O. N., Burgess, D., Calderón, B., Camargo, S. J., Campbell, J. D., Cappelen, J., Carrasco, G., Carter, B. R., Chambers, D. P., Chandler, E., Christiansen, H. H., Christy, J. R., Chung, D., Chung, E. S., Cinque, K., Clem, K. R., Coelho, C. A., Cogley, J. G., Coldewey-Egbers, M., Colwell, S., Cooper, O. R., Copland, L., Cosca, C. E., Cross, J. N., Crotwell, M. J., Crouch, J., Davis, S. M., Eyto, E., Jeu, R. A. M., Laat, J., Degasperi, C. L., Degenstein, D., Demircan, M., Derksen, C., Destin, D., Di Girolamo, L., Di Giuseppe, F., Diamond, H. J., Dlugokencky, E. J., Dohan, K., Dokulil, M. T., Dolgov, A. V., Dolman, A. J., Domingues, C. M., Donat, M. G., Dong, S., Dorigo, W. A., Dortch, Q., Doucette, G., Drozdov, D. S., Ducklow, H., Dunn, R. J. H., Durán-Quesada, A. M., Dutton, G. S., Ebrahim, A., Elkharrim, M., Elkins, J. W., Espinoza, J. C., Etienne-Leblanc, S., Evans, T. E., Famiglietti, J. S., Farrell, S., Fateh, S., Fausto, R. S., Fedaeff, N., Feely, R. A., Feng, Z., Fenimore, C., Fettweis, X., Fioletov, V. E., Flemming, J., Fogarty, C. T., Fogt, R. L., Folland, C., Fonseca, C., Fossheim, M., Foster, M. J., Fountain, A., Francis, S. D., Franz, B. A., Frey, R. A., Frith, S. M., Froidevaux, L., Ganter, C., Garzoli, S., Gerland, S., Gobron, N., Goldenberg, S. B., Gomez, R. S., Goni, G., Goto, A., Grooß, J. U., Gruber, A., Guard, C. C., Gugliemin, M., Gupta, S. K., Gutiérrez, J. M., Hagos, S., Hahn, S., Haimberger, L., Hakkarainen, J., Hall, B. D., Halpert, M. S., Hamlington, B. D., Hanna, E., Hansen, K., Hanssen-Bauer, I., Harris, I., Heidinger, A. K., Heikkilä, A., Heil, A., Heim, R. R., Hendricks, S., Hernández, M., Hidalgo, H. G., Hilburn, K., Ho, S. P. B., Holmes, R. M., Hu, Z. Z., Huang, B., Huelsing, H. K., Huffman, G. J., Hughes, C., Hurst, D. F., Ialongo, I., Ijampy, J. A., Ingvaldsen, R. B., Inness, A., Isaksen, K., Ishii, M., Jevrejeva, S., Jiménez, C., Jin, X., Johannesen, E., John, V., Johnsen, B., Johnson, B., Johnson, G. C., Jones, P. D., Joseph, A. C., Jumaux, G., Kabidi, K., Kaiser, J. W., Kato, S., Kazemi, A., Keller, L. M., Kendon, M., Kennedy, J., Kerr, K., Kholodov, A. L., Khoshkam, M., Killick, R., Kim, H., Kim, S. J., Kimberlain, T. B., Klotzbach, P. J., Knaff, J. A., Kobayashi, S., Kohler, J., Korhonen, J., Korshunova, N. N., Kovacs, K. M., Kramarova, N., Kratz, D. P., Kruger, A., Kruk, M. C., Kudela, R., Kumar, A., Lakatos, M., Lakkala, K., Lander, M. A., Landsea, C. W., Lankhorst, M., Lantz, K., Lazzara, M. A., Lemons, P., Leuliette, E., L’heureux, M., Lieser, J. L., Lin, I. I., Liu, H., Liu, Y., Locarnini, R., Loeb, N. G., Lo Monaco, C., Long, C. S., López Álvarez, L. A., Lorrey, A. M., Loyola, D., Lumpkin, R., Luo, J. J., Luojus, K., Lydersen, C., Lyman, J. M., Maberly, S. C., Maddux, B. C., Malheiros Ramos, A., Malkova, G. V., Manney, G., Marcellin, V., Marchenko, S. S., Marengo, J. A., Marra, J. J., Marszelewski, W., Martens, B., Martínez-Güingla, R., Massom, R. A., Mata, M. M., Mathis, J. T., May, L., Mayer, M., Mazloff, M., Mcbride, C., Mccabe, M. F., Mccarthy, M., Mcclelland, J. W., Mcgree, S., Mcvicar, T. R., Mears, C. A., Meier, W., Meinen, C. S., Mekonnen, A., Menéndez, M., Mengistu Tsidu, G., Menzel, W. P., Merchant, C. J., Meredith, M. P., Merrifield, M. A., Metzl, N., Minnis, P., Miralles, D. G., Mistelbauer, T., Mitchum, G. T., Monselesan, D., Monteiro, P., Montzka, S. A., Morice, C., Mote, T., Mudryk, L., Mühle, J., Mullan, A. B., Nash, E. R., Naveira-Garabato, A. C., Nerem, R. S., Newman, P. A., Nieto, J. J., Noetzli, J., O’neel, S., Osborn, T. J., Overland, J., Oyunjargal, L., Parinussa, R. M., Park, E. H., Parker, D., Parrington, M., Parsons, A. R., Pasch, R. J., Pascual-Ramírez, R., Paterson, A. M., Paulik, C., Pearce, P. R., Pelto, M. S., Peng, L., Perkins-Kirkpatrick, S. E., Perovich, D., Petropavlovskikh, I., Pezza, A. B., Phillips, D., Pinty, B., Pitts, M. C., Pons, M. R., Porter, A. O., Primicerio, R., Proshutinsky, A., Quegan, S., Quintana, J., Rahimzadeh, F., Rajeevan, M., Randriamarolaza, L., Razuvaev, V. N., Reagan, J., Reid, P., Reimer, C., Rémy, S., Renwick, J. A., Revadekar, J. V., Richter-Menge, J., Riffler, M., Rimmer, A., Rintoul, S., Robinson, D. A., Rodell, M., Rodríguez Solís, J. L., Romanovsky, V. E., Ronchail, J., Rosenlof, K. H., Roth, C., Rusak, J. A., Sabine, C. L., Sallée, J. B., Sánchez-Lugo, A., Santee, M. L., Sawaengphokhai, P., Sayouri, A., Scambos, T. A., Schemm, J., Schladow, S. G., Schmid, C., Schmid, M., Schmidtko, S., Schreck, C. J., Selkirk, H. B., Send, U., Sensoy, S., Setzer, A., Sharp, M., Shaw, A., Shi, L., Shiklomanov, A. I., Shiklomanov, N. I., Siegel, D. A., Signorini, S. R., Sima, F., Simmons, A. J., Smeets, C. J. P. P., Smith, S. L., Spence, J. M., Srivastava, A. K., Stackhouse, P. W., Stammerjohn, S., Steinbrecht, W., Stella, J. L., Stengel, M., Stennett-Brown, R., Stephenson, T. S., Strahan, S., Streletskiy, D. A., Sun-Mack, S., Swart, S., Sweet, W., Talley, L. D., Tamar, G., Tank, S. E., Taylor, M. A., Tedesco, M., Teubner, K., Thoman, R. L., Thompson, P., Thomson, L., Timmermans, M. L., Maxim Timofeyev, Tirnanes, J. A., Tobin, S., Trachte, K., Trainer, V. L., Tretiakov, M., Trewin, B. C., Trotman, A. R., Tschudi, M., As, D., Wal, R. S. W., A, R. J., Schalie, R., Schrier, G., Werf, G. R., Meerbeeck, C. J., Velicogna, I., Verburg, P., Vigneswaran, B., Vincent, L. A., Volkov, D., Vose, R. S., Wagner, W., Wåhlin, A., Wahr, J., Walsh, J., Wang, C., Wang, J., Wang, L., Wang, M., Wang, S. H., Wanninkhof, R., Watanabe, S., Weber, M., Weller, R. A., Weyhenmeyer, G. A., Whitewood, R., Wijffels, S. E., Wilber, A. C., Wild, J. D., Willett, K. M., Williams, M. J. M., Willie, S., Wolken, G., Wong, T., Wood, E. F., Woolway, R. I., Wouters, B., Xue, Y., Yamada, R., Yim, S. Y., Yin, X., Young, S. H., Yu, L., Zahid, H., Zambrano, E., Zhang, P., Zhao, G., Zhou, L., Ziemke, J. R., Love-Brotak, S. E., Gilbert, K., Maycock, T., Osborne, S., Sprain, M., Veasey, S. W., Ambrose, B. J., Griffin, J., Misch, D. J., Riddle, D. B., Young, T., Macias Fauria, M, Blunden, J, Arndt, D, Earth and Climate, Faculty of Earth and Life Sciences, Clinical Developmental Psychology, Climate Change and Landscape Dynamics, and Molecular Cell Physiology

Subjects
Meteor (satellite), Atmospheric Science, 010504 meteorology & atmospheric sciences, 0208 environmental biotechnology, 02 engineering and technology, 01 natural sciences, 020801 environmental engineering, Geography, 13. Climate action, Climatology, SDG 13 - Climate Action, SDG 14 - Life Below Water, 0105 earth and related environmental sciences
Abstract

In 2016, the dominant greenhouse gases released into Earth's atmosphere-carbon dioxide, methane, and nitrous oxide-continued to increase and reach new record highs. The 3.5 +/- 0.1 ppm rise in global annual mean carbon dioxide from 2015 to 2016 was the largest annual increase observed in the 58-year measurement record. The annual global average carbon dioxide concentration at Earth's surface surpassed 400 ppm (402.9 +/- 0.1 ppm) for the first time in the modern atmospheric measurement record and in ice core records dating back as far as 800000 years. One of the strongest El Nino events since at least 1950 dissipated in spring, and a weak La Nina evolved later in the year. Owing at least in part to the combination of El Nino conditions early in the year and a long-term upward trend, Earth's surface observed record warmth for a third consecutive year, albeit by a much slimmer margin than by which that record was set in 2015. Above Earth's surface, the annual lower troposphere temperature was record high according to all datasets analyzed, while the lower stratospheric temperature was record low according to most of the in situ and satellite datasets. Several countries, including Mexico and India, reported record high annual temperatures while many others observed near-record highs. A week-long heat wave at the end of April over the northern and eastern Indian peninsula, with temperatures surpassing 44 degrees C, contributed to a water crisis for 330 million people and to 300 fatalities. In the Arctic the 2016 land surface temperature was 2.0 degrees C above the 1981-2010 average, breaking the previous record of 2007, 2011, and 2015 by 0.8 degrees C, representing a 3.5 degrees C increase since the record began in 1900. The increasing temperatures have led to decreasing Arctic sea ice extent and thickness. On 24 March, the sea ice extent at the end of the growth season saw its lowest maximum in the 37-year satellite record, tying with 2015 at 7.2% below the 1981-2010 average. The September 2016 Arctic sea ice minimum extent tied with 2007 for the second lowest value on record, 33% lower than the 1981-2010 average. Arctic sea ice cover remains relatively young and thin, making it vulnerable to continued extensive melt. The mass of the Greenland Ice Sheet, which has the capacity to contribute similar to 7 m to sea level rise, reached a record low value. The onset of its surface melt was the second earliest, after 2012, in the 37-year satellite record. Sea surface temperature was record high at the global scale, surpassing the previous record of 2015 by about 0.01 degrees C. The global sea surface temperature trend for the 21st century-to-date of +0.162 degrees C decade(-1) is much higher than the longer term 1950-2016 trend of +0.100 degrees C decade(-1). Global annual mean sea level also reached a new record high, marking the sixth consecutive year of increase. Global annual ocean heat content saw a slight drop compared to the record high in 2015. Alpine glacier retreat continued around the globe, and preliminary data indicate that 2016 is the 37th consecutive year of negative annual mass balance. Across the Northern Hemisphere, snow cover for each month from February to June was among its four least extensive in the 47-year satellite record. Continuing a pattern below the surface, record high temperatures at 20-m depth were measured at all permafrost observatories on the North Slope of Alaska and at the Canadian observatory on northernmost Ellesmere Island. In the Antarctic, record low monthly surface pressures were broken at many stations, with the southern annular mode setting record high index values in March and June. Monthly high surface pressure records for August and November were set at several stations. During this period, record low daily and monthly sea ice extents were observed, with the November mean sea ice extent more than 5 standard deviations below the 1981-2010 average. These record low sea ice values contrast sharply with the record high values observed during 2012-14. Over the region, springtime Antarctic stratospheric ozone depletion was less severe relative to the 1991-2006 average, but ozone levels were still low compared to pre-1990 levels. Closer to the equator, 93 named tropical storms were observed during 2016, above the 1981-2010 average of 82, but fewer than the 101 storms recorded in 2015. Three basins-the North Atlantic, and eastern and western North Pacific-experienced above-normal activity in 2016. The Australian basin recorded its least active season since the beginning of the satellite era in 1970. Overall, four tropical cyclones reached the Saffir-Simpson category 5 intensity level. The strong El Nino at the beginning of the year that transitioned to a weak La Nina contributed to enhanced precipitation variability around the world. Wet conditions were observed throughout the year across southern South America, causing repeated heavy flooding in Argentina, Paraguay, and Uruguay. Wetter-than-usual conditions were also observed for eastern Europe and central Asia, alleviating the drought conditions of 2014 and 2015 in southern Russia. In the United States, California had its first wetter-than-average year since 2012, after being plagued by drought for several years. Even so, the area covered by drought in 2016 at the global scale was among the largest in the post-1950 record. For each month, at least 12% of land surfaces experienced severe drought conditions or worse, the longest such stretch in the record. In northeastern Brazil, drought conditions were observed for the fifth consecutive year, making this the longest drought on record in the region. Dry conditions were also observed in western Bolivia and Peru; it was Bolivia's worst drought in the past 25 years. In May, with abnormally warm and dry conditions already prevailing over western Canada for about a year, the human-induced Fort McMurray wildfire burned nearly 590000 hectares and became the costliest disaster in Canadian history, with $3 billion (U.S. dollars) in insured losses.

Published
2017
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22. A comparison of several techniques to assign heights to cloud tracers

Author

Nieman, Steven J, Schmetz, Johannes, and Menzel, W. P

Subjects
Meteorology And Climatology
Abstract

Experimental results are presented which suggest that the water-vapor technique of radiance measurement is a viable alternative to the CO2 technique for inferring the height of semitransparent cloud elements. Future environmental satellites will rely on H2O-derived cloud-height assignments in the wind-field determinations with the next operational geostationary satellite. On a given day, the heights from the H2O and CO2 approaches compare to within 60-110 hPa rms.

Published
1993
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23. High resolution depiction of atmospheric moisture, stability and surface temperature from combined MAMS and VAS radiances

Author

Moeller, C. C, Strabala, K. I, and Menzel, W. P

Subjects
Meteorology And Climatology
Abstract

In order to elucidate mesoscale variability of the earth-atmosphere system, aircraft-borne Multi-spectral Atmospheric Mapping Sensor (MAMS), 100-meter-resolution radiometric data, and geostationary-borne VISSR Atmospheric Sounder (VAS) 8-km-resolution radiometric data are used together in a physical retrieval method to produce 100-m-resolution depictions of atmospheric moisture, stability, and skin temperature. The VAS, with its IR-sounding capability, provides the vertical information to the retrieval while the MAMS, with its 100-m resolution, provides the horizontal information. The retrievals show mesoscale features, including a moist tongue intrusion and an urban heat island. Mesogamma-scale gradients are found to exceed mesobeta-scale gradients, and significant mesogamma-scale variability is not captured in current geostationary sounding data. It is suggested that improvements to the spatial resolution of operating sounding data will yield improved information on atmospheric and surface gradients, especially at the mesogamma scale.

Published
1993

24. Remote sensing cloud properties from combined AVHRR HIRS/2 and ERBE observations

Author

Ackerman, Steven A, Wylie, Donald P, Frey, Richard, Hayden, Christopher M, Smith, William L, and Menzel, W. P

Subjects
Meteorology And Climatology
Abstract

The paper describes a method for determining cloud parameters from the combined remote sensing measurements of the NOAA AVHRR and the High-Resolution Infrared Radiometer Sounder (HIRS-2). The method was implemented on a set of observations primarily limited to the tropical eastern Pacific. Examples of applications of this data set are presented.

Published
1991

25. Remote sensing cloud properties from simulated MODIS observations

Author

Menzel, W. P, Ackerman, Steven A, and Smith, William L

Subjects
Meteorology And Climatology
Abstract

One of the objectives of the MODIS program is to establish a global cloud climatology that can address the effects of cirrus and opaque clouds on the Earth Radiation Budget. The paper describes the cloud retrieval techniques developed for MODIS-N IR observations and presents results of a study of remote sensing cloud properties using simulated MODIS observations at different cirrus cloud conditions.

Published
1991

26. First Sounding Results from VAS-D

Author

Smith, W. L., Suomi, V. E., Menzel, W. P., Woolf, H. M., Sromovsky, L. A., Revercomb, H. E., Hayden, C. M., Erickson, D. N., and Mosher, F. R.

Published
1981

33. Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: A case study over Antalya in 2008

Author

Baldassarre, Gianluca, Kaiser, Johannes, Pozzoli, Luca, Schmidt, Christopher, Unal, Alper, Kindap, Tayfun, Menzel, W. P., Whitburn, Simon, Coheur, Pierre, Kavgaci, Ali, Baldassarre, Gianluca, Kaiser, Johannes, Pozzoli, Luca, Schmidt, Christopher, Unal, Alper, Kindap, Tayfun, Menzel, W. P., Whitburn, Simon, Coheur, Pierre, and Kavgaci, Ali

Abstract

Among the atmospheric emission sources, wildfires are episodic events characterized by large spatial and temporal variability. Therefore, accurate information on gaseous and aerosol emissions from fires for specific regions and seasons is critical for air quality forecasts. The Spinning Enhanced Visible and Infrared Imager (SEVIRI) in geostationary orbit provides fire observations over Africa and the Mediterranean with a temporal resolution of 15 min. It thus resolves the complete fire life cycle and captures the fires' peak intensities, which is not possible in Moderate Resolution Imaging Spectroradiometer (MODIS) fire emission inventories like the Global Fire Assimilation System (GFAS). We evaluate two different operational fire radiative power (FRP) products derived from SEVIRI, by studying a large forest fire in Antalya, Turkey, in July-August 2008. The EUMETSAT Land Surface Analysis Satellite Applications Facility (LSA SAF) has higher FRP values during the fire episode than the Wildfire Automated Biomass Burning Algorithm (WF-ABBA). It is also in better agreement with the co-located, gridded MODIS FRP. Both products miss small fires that frequently occur in the region and are detected by MODIS. Emissions are derived from the FRP products. They are used along-side GFAS emissions in smoke plume simulations with the Weather Research and Forecasting (WRF) model and the Community Multiscale Air Quality (CMAQ) model. In comparisons with MODIS aerosol optical thickness (AOT) and Infrared Atmospheric Sounding Interferometer (IASI), CO and NH3 observations show that including the diurnal variability of fire emissions improves the spatial distribution and peak concentrations of the simulated smoke plumes associated with this large fire. They also show a large discrepancy between the currently available operational FRP products, with the LSA SAF being the most appropriate., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2015

37. Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations

Author

Xue, Yunheng, Li, Jun, Menzel, W. Paul, Borbas, Eva, Ho, Shu‐Peng, Li, Zhenglong, and Li, Jinlong

Abstract

This study quantifies the characteristics of different satellite sampling errors in the time series of total precipitable water (TPW) derived from Constellation System for Meteorology, Ionosphere, and Climate (COSMIC) radio occultation, Special Sensor Microwave Imager Sounder (SSMIS), and High‐resolution Infrared Radiation Sounder (HIRS) during the overlapping time period of January 2007 to December 2013. Gap‐free data from ERA5 reanalysis of the European Centre for Medium Range Weather Forecasts are used as reference values. All TPW data are first compared with microwave radiometer measurements from Atmospheric Radiation Measurement Program. In general, they are consistent, with all their regression coefficients being greater than 0.77. Discrepancies in global TPW time series can be mainly attributed to the inherent sampling errors of these three different satellite remote sensing systems. COSMIC has small sampling errors in higher latitudes. But it has scarce samples in tropical regions, which leads to a large sampling error of 3.00 mm in the estimation of global TPW. Sampling in SSMIS is more uniform with mean errors less than 0.5 mm. But the sampling is only over the ocean. Sampling errors in HIRS are larger in tropics and north subtropical areas due to clear sky biased sampling. Moreover, it is significantly correlated with the variability of TPW, whereas the sampling error in COSMIC is less influenced by TPW. Sampling errors will be reduced and more consistent global TPW time series will be derived by simply combining the multisensor samplings together. Sampling differences in COSMIC, SSMIS, and HIRS observations largely explain observed differences between associated TPW time seriesSampling in COSMIC, SSMIS, and HIRS has different characteristics; sampling errors in HIRS are significantly correlated with TPW variabilitySampling errors can be reduced by averaging multisensor sampling; more factors should be considered when merging real satellite data

Published
2019
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40. Buchbesprechungen

Author

Walter, W., Waldmann, L., Schügerl, K., Koch, W., Naarmann, H., Fukui, K., Horner, L., Jost, W., Jaenicke, L., Fusenig, N. E., Jacobs, J., Brücher, H., Dierschke, H., Kuhn-Schnyder, E., Keil, K., Boschke, F. L., Steinbuch, K., Menzel, W., Ebert, R., Autrum, H., and Klessinger, M.

Published
1969
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49. Intercomparison Between VIIRS and CrIS by Taking Into Account the CrIS Subpixel Cloudiness and Viewing Geometry

Author

Gong, Xinya, Li, Zhenglong, Li, Jun, Moeller, Christopher C., Cao, Changyong, Wang, Wenhui, and Menzel, W. Paul

Abstract

The Cross‐track Infrared Sounder (CrIS) onboard the Suomi National Polar‐orbiting Partnership (SNPP) has high radiometric accuracy, which can be used to intercompare and understand the radiometric performance of the thermal emissive bands of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the same platform. Previous studies usually selected uniform scenes to avoid potential uncertainties due to geolocation errors. This study focuses on all scenes (including nonuniform scenes), as well as CrIS subpixel cloudiness, local zenith angle and surface type, and their impacts on VIIRS/CrIS intercomparisons. A geolocation error correction scheme is applied to mitigate the geolocation mismatch between CrIS and VIIRS. Intercomparison results of three days from 19 to 21 September 2016, a quarterly warm up/cool down calibration period, show overall good agreement in terms of radiance biases (less than 0.2 K in terms of brightness temperature) between VIIRS and CrIS, for scene temperatures between 220 and 300 K; however, larger biases are evident outside of this range. The three factors—CrIS subpixel cloudiness, local zenith angle, and surface type—show weak impacts on VIIRS radiance biases. Both clear‐sky and overcast conditions have slightly different radiance biases from other partially cloudy conditions because of more contributions from colder or warmer scenes. The time series show the impact of warm up/cool down and the effectiveness of the correction algorithm for reprocessing VIIRS M15 and M16 data sets. The methods and tools can be applied to monitor and validate other infrared imager/sounder duos onboard the same platform. CrIS subpixel cloudiness, viewing geometry, and surface types have a weak impact on VIIRS and CrIS radiance differencesThe analysis is useful for VIIRS calibration accuracy assessment and product improvement (e.g., SST)The methodologies and tools developed can be applied to process/reprocess data from imagers and sounders onboard the same satellite

Published
2018
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50. Évaluation des climatologies satellitaires globales des nuages : Projet et base de données du groupe GEWEX Radiation Panel

Author

Stubenrauch, C. J., primary, Rossow, W. B., additional, Kinne, S., additional, Ackerman, S., additional, Cesana, G., additional, Chepfer, H., additional, Di Girolamo, L., additional, Getzewich, B., additional, Guignard, A., additional, Heidinger, A., additional, Maddux, B. C., additional, Menzel, W. P., additional, Minnis, P., additional, Pearl, C., additional, Platnick, S., additional, Poulsen, C., additional, Riedi, J., additional, Sun-Mack, S., additional, Walther, A., additional, Winker, D., additional, Zeng, S., additional, and Zhao, G., additional

Published
2013
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