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1. RADAR DETECTION OF INDIVIDUAL RAINDROPS

Author

Schmidt, Jerome M., Flatau, Piotr J., Harasti, Paul R., Yates, Robert. D., Delene, David J., Gapp, Nicholas J., Kohri, William J., Vetter, Jerome R., Nachamkin, Jason E., Parent, Mark G., Hoover, Joshua D., Anderson, Mark J., Green, Seth, and Bennett, James E.

Published
2019

4. Radar observations of individual rain drops in the free atmosphere

Author

Schmidt, Jerome M., Flatau, Piotr J., Harasti, Paul R., Yates, Robert D., Littleton, Ricky, Pritchard, Michael S., Fischer, Jody M., Fischer, Erin J., Kohri, William J., Vetter, Jerome R., Richman, Scott, Baranowski, Dariusz B., Anderson, Mark J., Fletcher, Ed, and Lando, David W.

Published
2012

7. EUREC4A

Author

Stevens, Bjorn, Bony, Sandrine, Farrell, David, Ament, Felix, Blyth, Alan, Fairall, Christopher W., Karstensen, Johannes, Quinn, Patricia K., Speich, Sabrina, Acquistapace, Claudia, Aemisegger, Franziska, Albright, Anna Lea, Bellenger, Hugo, Bodenschatz, Eberhard, Caesar, Kathy-Ann, Chewitt-Lucas, Rebecca, de Boer, Gijs, Delanoë, Julien, Denby, Leif, Ewald, Florian, Fildier, Benjamin, Forde, Marvin, George, Geet, Gross, Silke, Hagen, Martin, Hausold, Andrea, Heywood, Karen J., Hirsch, Lutz, Jacob, Marek, Jansen, Friedhelm, Kinne, Stefan, Klocke, Daniel, Kölling, Tobias, Konow, Heike, Lothon, Marie, Mohr, Wiebke, Naumann, Ann Kristin, Nuijens, Louise, Olivier, Léa, Pincus, Robert, Pöhlker, Mira L., Reverdin, Gilles, Roberts, Gregory, Schnitt, Sabrina, Schulz, Hauke, Siebesma, Pier, Stephan, Claudia Christine, Sullivan, Peter P., Touzé-Peiffer, Ludovic, Vial, Jessica, Vogel, Raphaela, Zuidema, Paquita, Alexander, Nicola, Alves, Lyndon, Arixi, Sophian, Asmath, Hamish, Bagheri, Gholamhossein, Baier, Katharina, Bailey, Adriana, Baranowski, Dariusz, Baron, Alexandre, Barrau, Sébastien, Barrett, Paul A., Batier, Frédéric, Behrendt, Andreas, Bendinger, Arne, Beucher, Florent, Bigorre, Sebastien P., Blades, Edmund, Blossey, Peter, Bock, Olivier, Böing, Steven, Bosser, Pierre, Bourras, Denis, Bouruet-Aubertot, Pascale, Bower, Keith, Branellec, Pierre, Branger, Hubert, Brennek, Michal, Brewer, Alan, Brilouet, Pierre-Etienne, Brügmann, Björn, Buehler, Stefan A., Burke, Elmo, Burton, Ralph, Calmer, Radiance, Canonici, Jean-Christophe, Carton, Xavier, Cato, Gregory, Jr., Charles, Jude Andre, Chazette, Patrick, Chen, Yanxu, Chilinski, Michal T., Choularton, Thomas, Chuang, Patrick, Clarke, Shamal, Coe, Hugh, Cornet, Céline, Coutris, Pierre, Couvreux, Fleur, Crewell, Susanne, Cronin, Timothy W., Cui, Zhiqiang, Cuypers, Yannis, Daley, Alton, Damerell, Gillian M., Dauhut, Thibaut, Deneke, Hartwig, Desbios, Jean-Philippe, Dörner, Steffen, Donner, Sebastian, Douet, Vincent, Drushka, Kyla, Dütsch, Marina, Ehrlich, André, Emanuel, Kerry A., Emmanouilidis, Alexandros, Etienne, Jean-Claude, Etienne-Leblanc, Sheryl, Faure, Ghislain, Feingold, Graham, Ferrero, Luca, Fix, Andreas, Flamant, Cyrille, Flatau, Piotr Jacek, Foltz, Gregory R., Forster, Linda, Furtuna, Iulian, Gadian, Alan, Galewsky, Joseph, Gallagher, Martin, Gallimore, Peter, Gaston, Cassandra J., Gentemann, Chelle L., Geyskens, Nicolas, Giez, Andreas, Gollop, John, Gouirand, Isabelle, Gourbeyre, Christophe, de Graaf, Dörte, de Graaf, Geiske E., Grosz, Robert, Güttler, Johannes, Gutleben, Manuel, Hall, Kashawn, Harris, George, Helfer, Kevin C., Henze, Dean, Herbert, Calvert, Holanda, Bruna, Ibanez-Landeta, Antonio, Intrieri, Janet, Iyer, Suneil, Julien, Fabrice, Kalesse, Heike, Kazil, Jan, Kellman, Alexander, Kidane, Abiel T., Kirchner, Ulrike, Klingebiel, Marcus, Körner, Mareike, Kremper, Leslie Ann, Kretzschmar, Jan, Krüger, Ovid O., Kumala, Wojciech, Kurz, Armin, L'Hégareta, Pierre, Labaste, Matthieu, Lachlan-Cope, Thomas, Laing, Arlene, Landschützer, Peter, Lang, Theresa, Lange, Diego, Lange, Ingo, Laplace, Clément, Lavik, Gauke, Laxenaire, Rémi, Le Bihan, Caroline, Leandro, Mason, Lefevre, Nathalie, Lena, Marius, Lenschow, Donald, Li, Qiang, Lloyd, Gary, Los, Sebastian, Losi, Niccolò, Lovell, Oscar, Luneau, Christopher, Makuch, Przemyslaw, Malinowski, Szymon, Manta, Gaston, Marinou, Eleni, Marsden, Nicholas, Masson, Sebastien, Maury, Nicolas, Mayer, Bernhard, Mayers-Als, Margarette, Mazel, Christophe, McGeary, Wayne, McWilliams, James C., Mech, Mario, Mehlmann, Melina, Meroni, Agostino Niyonkuru, Mieslinger, Theresa, Minikin, Andreas, Minnett, Peter J., Möller, Gregor, Morfa Avalos, Yanmichel, Muller, Caroline, Musat, Ionela, Napoli, Anna, Neuberger, Almuth, Noisel, Christophe, Noone, David, Nordsiek, Freja, Nowak, Jakub L., Oswald, Lothar, Parker, Douglas J., Peck, Carolyn, Person, Renaud, Philippi, Miriam, Plueddemann, Albert J., Pöhlker, Christopher, Pörtge, Veronika, Pöschl, Ulrich, Pologne, Lawrence, Posyniak, Michał, Prange, Marc, Quinones Melendez, Estefania, Radtke, Jule, Ramage, Karim, Reimann, Jens, Renault, Lionel, Reus, Klaus, Reyes, Ashford, Ribbe, Joachim, Ringel, Maximilian, Ritschel, Markus, Rocha, Cesar B., Rochetin, Nicolas, Röttenbacher, Johannes, Rollo, Callum, Royer, Haley M., Sadoulet, Pauline, Saffin, Leo, Sandiford, Sanola, Sandu, Irina, Schäfer, Michael, Schemann, Vera, Schirmacher, Imke, Schlenczek, Oliver, Schmidt, Jerome M., Schröder, Marcel, Schwarzenboeck, Alfons, Sealy, Andrea, Senff, Christoph J., Serikov, Ilya, Shohan, Samkeyat, Siddle, Elizabeth, Smirnov, Alexander, Späth, Florian, Spooner, Branden, Stolla, M. Katharina, Szkółka, Wojciech, de Szoeke, Simon P., Tarot, Stéphane, Tetoni, Eleni, Thompson, Elizabeth, Thomson, Jim, Tomassini, Lorenzo, Totems, Julien, Ubele, Alma Anna, Villiger, Leonie, von Arx, Jan, Wagner, Thomas, Walther, Andi, Webber, Ben, Wendisch, Manfred, Whitehall, Shanice, Wiltshire, Anton, Wing, Allison A., Wirth, Martin, Wiskandt, Jonathan, Wolf, Kevin, Worbes, Ludwig, Wright, Ethan, Young, Shanea, Zhang, Chidong, Zhang, Dongxiao, Ziemen, Florian, Zinner, Tobias, Zöger, Martin, Stevens, Bjorn, Bony, Sandrine, Farrell, David, Ament, Felix, Blyth, Alan, Fairall, Christopher W., Karstensen, Johannes, Quinn, Patricia K., Speich, Sabrina, Acquistapace, Claudia, Aemisegger, Franziska, Albright, Anna Lea, Bellenger, Hugo, Bodenschatz, Eberhard, Caesar, Kathy-Ann, Chewitt-Lucas, Rebecca, de Boer, Gijs, Delanoë, Julien, Denby, Leif, Ewald, Florian, Fildier, Benjamin, Forde, Marvin, George, Geet, Gross, Silke, Hagen, Martin, Hausold, Andrea, Heywood, Karen J., Hirsch, Lutz, Jacob, Marek, Jansen, Friedhelm, Kinne, Stefan, Klocke, Daniel, Kölling, Tobias, Konow, Heike, Lothon, Marie, Mohr, Wiebke, Naumann, Ann Kristin, Nuijens, Louise, Olivier, Léa, Pincus, Robert, Pöhlker, Mira L., Reverdin, Gilles, Roberts, Gregory, Schnitt, Sabrina, Schulz, Hauke, Siebesma, Pier, Stephan, Claudia Christine, Sullivan, Peter P., Touzé-Peiffer, Ludovic, Vial, Jessica, Vogel, Raphaela, Zuidema, Paquita, Alexander, Nicola, Alves, Lyndon, Arixi, Sophian, Asmath, Hamish, Bagheri, Gholamhossein, Baier, Katharina, Bailey, Adriana, Baranowski, Dariusz, Baron, Alexandre, Barrau, Sébastien, Barrett, Paul A., Batier, Frédéric, Behrendt, Andreas, Bendinger, Arne, Beucher, Florent, Bigorre, Sebastien P., Blades, Edmund, Blossey, Peter, Bock, Olivier, Böing, Steven, Bosser, Pierre, Bourras, Denis, Bouruet-Aubertot, Pascale, Bower, Keith, Branellec, Pierre, Branger, Hubert, Brennek, Michal, Brewer, Alan, Brilouet, Pierre-Etienne, Brügmann, Björn, Buehler, Stefan A., Burke, Elmo, Burton, Ralph, Calmer, Radiance, Canonici, Jean-Christophe, Carton, Xavier, Cato, Gregory, Jr., Charles, Jude Andre, Chazette, Patrick, Chen, Yanxu, Chilinski, Michal T., Choularton, Thomas, Chuang, Patrick, Clarke, Shamal, Coe, Hugh, Cornet, Céline, Coutris, Pierre, Couvreux, Fleur, Crewell, Susanne, Cronin, Timothy W., Cui, Zhiqiang, Cuypers, Yannis, Daley, Alton, Damerell, Gillian M., Dauhut, Thibaut, Deneke, Hartwig, Desbios, Jean-Philippe, Dörner, Steffen, Donner, Sebastian, Douet, Vincent, Drushka, Kyla, Dütsch, Marina, Ehrlich, André, Emanuel, Kerry A., Emmanouilidis, Alexandros, Etienne, Jean-Claude, Etienne-Leblanc, Sheryl, Faure, Ghislain, Feingold, Graham, Ferrero, Luca, Fix, Andreas, Flamant, Cyrille, Flatau, Piotr Jacek, Foltz, Gregory R., Forster, Linda, Furtuna, Iulian, Gadian, Alan, Galewsky, Joseph, Gallagher, Martin, Gallimore, Peter, Gaston, Cassandra J., Gentemann, Chelle L., Geyskens, Nicolas, Giez, Andreas, Gollop, John, Gouirand, Isabelle, Gourbeyre, Christophe, de Graaf, Dörte, de Graaf, Geiske E., Grosz, Robert, Güttler, Johannes, Gutleben, Manuel, Hall, Kashawn, Harris, George, Helfer, Kevin C., Henze, Dean, Herbert, Calvert, Holanda, Bruna, Ibanez-Landeta, Antonio, Intrieri, Janet, Iyer, Suneil, Julien, Fabrice, Kalesse, Heike, Kazil, Jan, Kellman, Alexander, Kidane, Abiel T., Kirchner, Ulrike, Klingebiel, Marcus, Körner, Mareike, Kremper, Leslie Ann, Kretzschmar, Jan, Krüger, Ovid O., Kumala, Wojciech, Kurz, Armin, L'Hégareta, Pierre, Labaste, Matthieu, Lachlan-Cope, Thomas, Laing, Arlene, Landschützer, Peter, Lang, Theresa, Lange, Diego, Lange, Ingo, Laplace, Clément, Lavik, Gauke, Laxenaire, Rémi, Le Bihan, Caroline, Leandro, Mason, Lefevre, Nathalie, Lena, Marius, Lenschow, Donald, Li, Qiang, Lloyd, Gary, Los, Sebastian, Losi, Niccolò, Lovell, Oscar, Luneau, Christopher, Makuch, Przemyslaw, Malinowski, Szymon, Manta, Gaston, Marinou, Eleni, Marsden, Nicholas, Masson, Sebastien, Maury, Nicolas, Mayer, Bernhard, Mayers-Als, Margarette, Mazel, Christophe, McGeary, Wayne, McWilliams, James C., Mech, Mario, Mehlmann, Melina, Meroni, Agostino Niyonkuru, Mieslinger, Theresa, Minikin, Andreas, Minnett, Peter J., Möller, Gregor, Morfa Avalos, Yanmichel, Muller, Caroline, Musat, Ionela, Napoli, Anna, Neuberger, Almuth, Noisel, Christophe, Noone, David, Nordsiek, Freja, Nowak, Jakub L., Oswald, Lothar, Parker, Douglas J., Peck, Carolyn, Person, Renaud, Philippi, Miriam, Plueddemann, Albert J., Pöhlker, Christopher, Pörtge, Veronika, Pöschl, Ulrich, Pologne, Lawrence, Posyniak, Michał, Prange, Marc, Quinones Melendez, Estefania, Radtke, Jule, Ramage, Karim, Reimann, Jens, Renault, Lionel, Reus, Klaus, Reyes, Ashford, Ribbe, Joachim, Ringel, Maximilian, Ritschel, Markus, Rocha, Cesar B., Rochetin, Nicolas, Röttenbacher, Johannes, Rollo, Callum, Royer, Haley M., Sadoulet, Pauline, Saffin, Leo, Sandiford, Sanola, Sandu, Irina, Schäfer, Michael, Schemann, Vera, Schirmacher, Imke, Schlenczek, Oliver, Schmidt, Jerome M., Schröder, Marcel, Schwarzenboeck, Alfons, Sealy, Andrea, Senff, Christoph J., Serikov, Ilya, Shohan, Samkeyat, Siddle, Elizabeth, Smirnov, Alexander, Späth, Florian, Spooner, Branden, Stolla, M. Katharina, Szkółka, Wojciech, de Szoeke, Simon P., Tarot, Stéphane, Tetoni, Eleni, Thompson, Elizabeth, Thomson, Jim, Tomassini, Lorenzo, Totems, Julien, Ubele, Alma Anna, Villiger, Leonie, von Arx, Jan, Wagner, Thomas, Walther, Andi, Webber, Ben, Wendisch, Manfred, Whitehall, Shanice, Wiltshire, Anton, Wing, Allison A., Wirth, Martin, Wiskandt, Jonathan, Wolf, Kevin, Worbes, Ludwig, Wright, Ethan, Young, Shanea, Zhang, Chidong, Zhang, Dongxiao, Ziemen, Florian, Zinner, Tobias, and Zöger, Martin

Abstract

© The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Stevens, B., Bony, S., Farrell, D., Ament, F., Blyth, A., Fairall, C., Karstensen, J., Quinn, P. K., Speich, S., Acquistapace, C., Aemisegger, F., Albright, A. L., Bellenger, H., Bodenschatz, E., Caesar, K.-A., Chewitt-Lucas, R., de Boer, G., Delanoë, J., Denby, L., Ewald, F., Fildier, B., Forde, M., George, G., Gross, S., Hagen, M., Hausold, A., Heywood, K. J., Hirsch, L., Jacob, M., Jansen, F., Kinne, S., Klocke, D., Kölling, T., Konow, H., Lothon, M., Mohr, W., Naumann, A. K., Nuijens, L., Olivier, L., Pincus, R., Pöhlker, M., Reverdin, G., Roberts, G., Schnitt, S., Schulz, H., Siebesma, A. P., Stephan, C. C., Sullivan, P., Touzé-Peiffer, L., Vial, J., Vogel, R., Zuidema, P., Alexander, N., Alves, L., Arixi, S., Asmath, H., Bagheri, G., Baier, K., Bailey, A., Baranowski, D., Baron, A., Barrau, S., Barrett, P. A., Batier, F., Behrendt, A., Bendinger, A., Beucher, F., Bigorre, S., Blades, E., Blossey, P., Bock, O., Böing, S., Bosser, P., Bourras, D., Bouruet-Aubertot, P., Bower, K., Branellec, P., Branger, H., Brennek, M., Brewer, A., Brilouet , P.-E., Brügmann, B., Buehler, S. A., Burke, E., Burton, R., Calmer, R., Canonici, J.-C., Carton, X., Cato Jr., G., Charles, J. A., Chazette, P., Chen, Y., Chilinski, M. T., Choularton, T., Chuang, P., Clarke, S., Coe, H., Cornet, C., Coutris, P., Couvreux, F., Crewell, S., Cronin, T., Cui, Z., Cuypers, Y., Daley, A., Damerell, G. M., Dauhut, T., Deneke, H., Desbios, J.-P., Dörner, S., Donner, S., Douet, V., Drushka, K., Dütsch, M., Ehrlich, A., Emanuel, K., Emmanouilidis, A., Etienne, J.-C., Etienne-Leblanc, S., Faure, G., Feingold, G., Ferrero, L., Fix, A., Flamant, C., Flatau, P. J., Foltz, G. R., Forster, L., Furtuna, I., Gadian, A., Galewsky, J., Gallagher, M., Gallimore, P., Gaston, C., Gentemann, C., Geyskens, N., Giez, A., Gollop, J., Gouirand, I., Gourbeyre, C., de G, The science guiding the EUREC4A campaign and its measurements is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. Through its ability to characterize processes operating across a wide range of scales, EUREC4A marked a turning point in our ability to observationally study factors influencing clouds in the trades, how they will respond to warming, and their link to other components of the earth system, such as upper-ocean processes or the life cycle of particulate matter. This characterization was made possible by thousands (2500) of sondes distributed to measure circulations on meso- (200 km) and larger (500 km) scales, roughly 400 h of flight time by four heavily instrumented research aircraft; four global-class research vessels; an advanced ground-based cloud observatory; scores of autonomous observing platforms operating in the upper ocean (nearly 10 000 profiles), lower atmosphere (continuous profiling), and along the air–sea interface; a network of water stable isotopologue measurements; targeted tasking of satellite remote sensing; and modeling with a new generation of weather and climate models. In addition to providing an outline of the novel measurements and their composition into a unified and coordinated campaign, the six distinct scientific facets that EUREC4A explored – from North Brazil Current rings to turbulence-induced clustering of cloud droplets and its influence on warm-rain formation – are presented along with an overview of EUREC4A's outreach activities, environmental impact, and guidelines for scientific practice. Track data for all platforms are standardized and accessible at https://doi.org/10.25326/165 (Stevens, 2021), and a film documenting the campaign is provided as a video supplement., This research has been supported by the people and government of Barbados; the Max Planck Society and its supporting members; the German Research Foundation (DFG) and the German Federal Ministry of Education and Research (grant nos. GPF18-1_69 and GPF18-2_50); the European Research Council (ERC) advanced grant EUREC4A (grant agreement no. 694768) under the European Union’s Horizon 2020 research and innovation program (H2020), with additional support from CNES (the French National Centre for Space Studies) through the EECLAT proposal, Météo-France, the CONSTRAIN H2020 project (grant agreement no. 820829), and the French AERIS Research Infrastructure; the Natural Environment Research Council (NE/S015868/1, NE/S015752/1, and NE/S015779/1); ERC under the European Union’s H2020 program (COMPASS, advanced grant agreement no. 74110); the French national program LEFE INSU, by IFREMER, the French research fleet, CNES, the French research infrastructures AERIS and ODATIS, IPSL, the Chaire Chanel program of the Geosciences Department at ENS, and the European Union's Horizon 2020 research and innovation program under grant agreement no. 817578 TRIATLAS; NOAA’s Climate Variability and Prediction Program within the Climate Program Office (grant nos. GC19-305 and GC19-301); NOAA cooperative agreement NA15OAR4320063; NOAA's Climate Program Office and base funds to NOAA/AOML's Physical Oceanography Division; Swiss National Science Foundation grant no. 188731; the UAS Program Office, Climate Program Office, and Physical Sciences Laboratory and by the US National Science Foundation (NSF) through grant AGS-1938108; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2037 “CLICCS – Climate, Climatic Change, and Society” – project no. 390683824; and Poland’s National Science Centre grant no. UMO-2018/30/M/ST10/00674 and Foundation for Polish Science grant no. POIR.04.04.00-00-3FD6/17-02.

Published
2021

8. Assessment of hydrometeor collection rates from exact and approximate equations. Part II: numerical bounding

Author

Guadet, Brian J. and Schmidt, Jerome M.

Subjects
Stochastic processes -- Usage, Earth sciences
Abstract

Past microphysical investigations, including Part I of this study, have noted that the collection equation, when applied to the interaction between different hydrometeor species, can predict large mass transfer rates, even when an exact solution is used. The fractional depletion in a time step can even exceed unity for the collected species with plausible microphysical conditions and time steps, requiring 'normalization' by a microphysical scheme. Although some of this problem can be alleviated through the use of more moment predictions and hydrometeor categories, the question as to why such 'overdepletion' can be predicted in the first place remains insufficiently addressed. It is shown through both physical and conceptual arguments that the explicit time discretization of the bulk collection equation for any moment is not consistent with a quasi-stochastic view of collection. The result, under certain reasonable conditions, is a systematic overprediction of collection, which can become a serious error in the prediction of higher-order moments in a bulk scheme. The term numerical bounding is used to refer to the use of a quasi-stochastically consistent formula that prevents fractional collections exceeding unity for any moments. Through examples and analysis it is found that numerical bounding is typically important in mass moment prediction for time steps exceeding approximately 10 s. The Poisson-based numerical bounding scheme is shown to be simple in application and conceptualization: within a straightforward idealization it completely corrects overdepletion while even being immune to the rediagnosis error of the time-splitting method. The scheme's range of applicability and utility are discussed.

Published
2007

10. Equatorial Waves Triggering Extreme Rainfall and Floods in Southwest Sulawesi, Indonesia

Author

Latos, Beata, primary, Lefort, Thierry, additional, Flatau, Maria K., additional, Flatau, Piotr J., additional, Permana, Donaldi S., additional, Baranowski, Dariusz B., additional, Paski, Jaka A. I., additional, Makmur, Erwin, additional, Sulystyo, Eko, additional, Peyrillé, Philippe, additional, Feng, Zhe, additional, Matthews, Adrian J., additional, and Schmidt, Jerome M., additional

Published
2021
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11. Assessment of hydrometeor collection rates from exact and approximate equations. Part I: a new approximate scheme

Author

Gaudet, Brian J. and Schmidt, Jerome M.

Subjects
Atmosphere -- Research, Earth -- Atmosphere, Earth -- Research, Earth sciences, Science and technology
Abstract

The collection equation is analyzed for the case of two spherical hydrometeors with collection efficiency unity and exponential size distributions. When the fall velocities are significantly different a more general form of the conventional Wisher approximation can be formulated. The accuracy of the new formula exceeds that of the Wisner approximation for all cases considered, except for the collection of a faster species by a slower species if the amount of the faster species is relatively small compared with that of the slower species. The exact solution of the collection equation is then rederived and cast into the form of a power series involving the ratio of the two characteristic fall velocities. It is shown that the new formulation is a first-order correction to the continuous collection equation for hydrometeors with finite diameters and fall velocities. Based on the analysis, the implications for the behavior of both the exact collection equation and its representation in numerical models are discussed.

Published
2005

12. The Effect of a Kona Low on the Eastern Pacific Valentine's Day (2019) Atmospheric River.

Author

SUE CHEN, REYNOLDS, CAROLYN A., SCHMIDT, JEROME M., PAPIN, PHILIPPE P., JANIGA, MATTHEW A., BANKERT, RICHARD, and HUANG, ANDREW

Subjects
VALENTINE'S Day, ATMOSPHERIC rivers, VERTICAL wind shear, WATER vapor
Abstract

A high-impact atmospheric river (AR) event that made landfall on the U.S. West Coast on Valentine's Day of 2019 and produced widespread flooding in California is examined. The U.S. Naval Research Laboratory cloud resolving and high-resolution Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) captures the main features impacting the life cycle and structure of the Valentine's Day AR. Analysis of the model-simulated AR reveals the complex processes leading up to the initial northeastward surge of the water vapor and enhanced near-surface flow associated with this AR. These include the preexistence of a mesoscale cold-core kona low, a mesoscale anticyclone, and a strong low-level convergence in the corridor between the kona low and mesoscale anticyclone where the environment becomes supersaturated in a region of weak vertical wind shear. Model sensitivity experiments show that the eastward progression and magnitude of the AR water vapor surge are strongly sensitive to the magnitude of kona low circulation. Experiments with the kona low circulation amplitude reduced to less than 25% showed that the AR is not able to reach the U.S. West Coast. These results help to identify key new aspects of an important player-the kona low-and its significant contributions to the overall AR characteristics of this particular observed event. [ABSTRACT FROM AUTHOR]

Published
2022
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19. Targeted ocean sampling guidance for tropical cyclones

Author

Chen, Sue, Cummings, James A., Schmidt, Jerome M., Sanabia, Elizabeth, Jayne, Steven R., Chen, Sue, Cummings, James A., Schmidt, Jerome M., Sanabia, Elizabeth, and Jayne, Steven R.

Abstract

This paper is not subject to U.S. copyright. The definitive version was published in Journal of Geophysical Research: Oceans 122 (2017): 3505–3518, doi:10.1002/2017JC012727., A 3-D variational ocean data assimilation adjoint approach is used to examine the impact of ocean observations on coupled tropical cyclone (TC) model forecast error for three recent hurricanes: Isaac (2012), Hilda (2015), and Matthew (2016). In addition, this methodology is applied to develop an innovative ocean observation targeting tool validated using TC model simulations that assimilate ocean temperature observed by Airborne eXpendable Bathy Thermographs and Air-Launched Autonomous Micro-Observer floats. Comparison between the simulated targeted and real observation data assimilation impacts reveals a positive maximum mean linear correlation of 0.53 at 400–500 m, which implies some skill in the targeting application. Targeted ocean observation regions from these three hurricanes, however, show that the largest positive impacts in reducing the TC model forecast errors are sensitive to the initial prestorm ocean conditions such as the location and magnitude of preexisting ocean eddies, storm-induced ocean cold wake, and model track errors., ONR Grant Numbers: N0001416WX01949, N0001416WX01384, N0001416WX01262; NOAA Grant Number: NA13OAR4830233

Published
2017

20. Evidence for a Nimbostratus Uncinus in a Convectively Generated Mixed-Phase Stratiform Cloud Shield.

Author

Schmidt, Jerome M., Flatau, Piotr J., and Harasti, Paul R.

Subjects
*STRATUS clouds, *MARINE meteorology, *CONVECTIVE clouds, *CONVECTION (Meteorology), *WIND shear
Abstract

The structure of a melting layer associated with a mesoconvective system is examined using a combination of in situ aircraft measurements and a unique Doppler radar operated by the U.S. Navy that has a range resolution as fine as 0.5 m. Interest in this case was motivated by ground-based all-sky camera images that captured the transient development of midlevel billow cloud structures within a precipitating trailing stratiform cloud shield associated with a passing deep convective system. A sequence of high-fidelity time–height radar measurements taken of this storm system reveal that the movement of the billow cloud structure over the radar site corresponded with abrupt transitions in the observed low-level precipitation structure. Of particular note is an observed transition from stratiform to more periodic and vertically slanted rain shaft structures that both radar and aircraft measurements indicate have the same temporal periodicity determined to arise visually between successive billow cloud bands. Doppler, balloon, and aircraft measurements reveal these transient bands are associated with a shallow circulation field that resides just above the melting level in a layer of moist neutral stability and strong negative vertical wind shear. The nature of these circulations and their impact on the evolving precipitation field are described in the context of known nimbostratus cloud types. [ABSTRACT FROM AUTHOR]

Published
2018
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22. The Influence of Atmosphere-Ocean Interaction on MJO Development and Propagation

Author

NAVAL RESEARCH LAB MONTEREY CA, Chen, Sue, Doyle, James D, May, Paul, Schmidt, Jerome M, NAVAL RESEARCH LAB MONTEREY CA, Chen, Sue, Doyle, James D, May, Paul, and Schmidt, Jerome M

Abstract

The objectives of this project are to use the fully coupled COAMPS to investigate the effect of air-ocean coupling, the prediction barrier problem near the Maritime Continent (MC), and the impact of convection permitting resolution on the MJO structure. Many coupled and uncoupled global seasonal prediction models as well as global NWP models have low skill in forecasting the MJO propagation from the Indian Ocean to the Maritime Continent. To what extent do model horizontal resolution, air-sea coupling, and parameterizations of convection contribute to this MJO propagation prediction barrier?

Published
2013

23. Coupled COAMPS Extended Range MJO Prediction

Author

NAVAL RESEARCH LAB MONTEREY CA, Chen, Sue, Doyle, James D, May, Paul, Schmidt, Jerome M, NAVAL RESEARCH LAB MONTEREY CA, Chen, Sue, Doyle, James D, May, Paul, and Schmidt, Jerome M

Abstract

The Madden Julian Oscillation (MJO) influences the intraseasonal variability in the tropics. It is essential to understand factors that contribute to the model forecast errors associated with the extended prediction of the MJO. The long-term goals of this research are to identify the physical processes that affect the extended range prediction of the MJO and shed light on future improvements in the model parameterizations and ensemble forecast strategies that aim to increase the seasonal prediction skill of the NAVY models. The objectives of this project are to use a fully coupled COAMPS to investigate the effect of air-ocean coupling, the prediction barrier problem near the Maritime Continent, and cloud-resolving impact on the MJO structure. There are some indications that air-sea coupling improved the MJO prediction but the mechanisms are not well understood. Many coupled and uncoupled global seasonal prediction models as well as global NWP models have a low skill in forecasting the MJO propagation from the Indian Ocean to the Maritime Continent. Does the lack of model horizontal resolution, or model parameterizations of air-sea coupling, or parameterizations of convection, or all of these factors contribute to this prediction barrier?, Prepared in cooperation with Computer Sciences Corporation, Monterey, CA.

Published
2012

24. Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud

Author

Klein, Stephen A., McCoy, Renata B., Morrison, Hugh, Ackerman, Andrew S., Avramov, Alexander, Boer, Gijs de, Chen, Mingxuan, Cole, Jason N. S., Del Genio, Anthony D., Falk, Michael, Foster, Michael J., Fridlind, Ann, Golaz, Jean-Christophe, Hashino, Tempei, Harrington, Jerry Y., Hoose, Corinna, Khairoutdinov, Marat F., Larson, Vincent E., Liu, Xiaohong, Luo, Yali, McFarquhar, Greg M., Menon, Surabi, Neggers, Roel A. J., Park, Sungsu, Poellot, Michael R., Schmidt, Jerome M., Sednev, Igor, Shipway, Ben J., Shupe, Matthew D., Spangenberg, Douglas A., Sud, Yogesh C., Turner, David D., Veron, Dana E., Salzen, Knut von, Walker, Gregory K., Wang, Zhien, Wolf, Audrey B., Xie, Shaocheng, Xu, Kuan-Man, Yang, Fanglin, Zhang, Gong, Klein, Stephen A., McCoy, Renata B., Morrison, Hugh, Ackerman, Andrew S., Avramov, Alexander, Boer, Gijs de, Chen, Mingxuan, Cole, Jason N. S., Del Genio, Anthony D., Falk, Michael, Foster, Michael J., Fridlind, Ann, Golaz, Jean-Christophe, Hashino, Tempei, Harrington, Jerry Y., Hoose, Corinna, Khairoutdinov, Marat F., Larson, Vincent E., Liu, Xiaohong, Luo, Yali, McFarquhar, Greg M., Menon, Surabi, Neggers, Roel A. J., Park, Sungsu, Poellot, Michael R., Schmidt, Jerome M., Sednev, Igor, Shipway, Ben J., Shupe, Matthew D., Spangenberg, Douglas A., Sud, Yogesh C., Turner, David D., Veron, Dana E., Salzen, Knut von, Walker, Gregory K., Wang, Zhien, Wolf, Audrey B., Xie, Shaocheng, Xu, Kuan-Man, Yang, Fanglin, and Zhang, Gong

Published
2009

25. Intercomparison of model simulations of mixed‐phase clouds observed during the ARM Mixed‐Phase Arctic Cloud Experiment. I: single‐layer cloud

Author

Klein, Stephen A., primary, McCoy, Renata B., additional, Morrison, Hugh, additional, Ackerman, Andrew S., additional, Avramov, Alexander, additional, Boer, Gijs de, additional, Chen, Mingxuan, additional, Cole, Jason N. S., additional, Del Genio, Anthony D., additional, Falk, Michael, additional, Foster, Michael J., additional, Fridlind, Ann, additional, Golaz, Jean‐Christophe, additional, Hashino, Tempei, additional, Harrington, Jerry Y., additional, Hoose, Corinna, additional, Khairoutdinov, Marat F., additional, Larson, Vincent E., additional, Liu, Xiaohong, additional, Luo, Yali, additional, McFarquhar, Greg M., additional, Menon, Surabi, additional, Neggers, Roel A. J., additional, Park, Sungsu, additional, Poellot, Michael R., additional, Schmidt, Jerome M., additional, Sednev, Igor, additional, Shipway, Ben J., additional, Shupe, Matthew D., additional, Spangenberg, Douglas A., additional, Sud, Yogesh C., additional, Turner, David D., additional, Veron, Dana E., additional, Salzen, Knut von, additional, Walker, Gregory K., additional, Wang, Zhien, additional, Wolf, Audrey B., additional, Xie, Shaocheng, additional, Xu, Kuan‐Man, additional, Yang, Fanglin, additional, and Zhang, Gong, additional

Published
2009
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26. Moist and Boundary Layer Physics

Author

NAVAL RESEARCH LAB MONTEREY CA, Schmidt, Jerome M., Burk, Stephen D., NAVAL RESEARCH LAB MONTEREY CA, Schmidt, Jerome M., and Burk, Stephen D.

Abstract

Improve the understanding of cloud and boundary layer processes within the littoral through the use of the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) and relevant observations. Improve the moist and boundary layer physics schemes used in COAMPS based on knowledge gained through extensive testing and verification of high-resolution (1-20 km horizontal grid spacing) numerical simulations in the littoral. Develop scientific knowledge on the dynamics of boundary layer processes and stratiform, coastal orographic, and meso-convective cloud systems. Evaluate the impact of these processes on regional-scale forecasts and weapon and sensor systems used by the Fleet. Evaluate model biases in moisture, precipitation, and cloud coverage forecasts in regions of complex coastal orography using case study analyses and real-time forecasts of observed events. Use explicit cloud simulations to test and make improvements in the computationally efficient bulk microphysical and cumulus parameterization schemes currently used in high-resolution (1-20 km horizontal grid spacing) COAMPS forecasts. Complete term-by-term analyses of the boundary layer forcing terms in COAMPS and assess model biases in boundary layer structure such as predicted boundary layer depth, vertical stability and moisture profiles, and EM/EO characteristics. Improve boundary layer physics schemes used in COAMPS based on testing and model verification with relevant observational and numerical data bases., See also ADM002252.

Published
1998

27. The Naval Research Laboratory's Parallel Coupled Ocean/Atmosphere Mesoscale Prediction System

Author

NAVAL RESEARCH LAB MONTEREY CA, Schmidt, Jerome M., Hart, L. B., Sathye, A., Chen, S., Tsai, P. T., NAVAL RESEARCH LAB MONTEREY CA, Schmidt, Jerome M., Hart, L. B., Sathye, A., Chen, S., and Tsai, P. T.

Abstract

The U.S Navy has a strong interest in conducting atmospheric research in support of operational mesoscale forecasts used to derive atmospheric conditions deemed of strategic interest within the littoral. This effort will require relatively fine horizontal resolution (generally less than 10 km) to accurately represent the complex flow and thermodynamic conditions which typically reside near the coastal regions of the globe. The task is made even more difficult by the need to produce the required high resolution products within an operationally viable time frame. It is toward this end that the Naval Research Laboratory, in collaboration with the High Performance Computing Section of the National Oceanic and Atmospheric Administration's Forecasts Systems Laboratory (NOAA FSL), has embarked on developing a parallel version of the Coupled Oceanic Atmospheric Mesoscale Prediction System (COAMPS, Hodur 1997). The COAMPS is a nonhydrostatic fully compressible finite difference model which uses the Arakawa-C grid stagger.The purpose of this paper is to provide a brief overview of the effort to parallelize COAMPS together with two examples illustrating the naval need for parallel computational capability.

Published
1997

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