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Rosemary Auld Miller and William M. Frank

MONTHLY WEATHER REVIEW VOLUME I21Radiative Forcing of Simulated Tropical Cloud Clusters ROSEMARY AULD MILLER AND WILLIAM M. FRANK Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania (Manuscript received 15 November 1991, in final form 25 May 1992) ABSTRACT A number of field experiments and subsequent studies in the 1970s and 1980s have led to the belief

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Timothy Glotfelty, Kiran Alapaty, Jian He, Patrick Hawbecker, Xiaoliang Song, and Guang Zhang

validity of the simulations. Kooperman et al. (2012) addressed the trade-off of reduced climate errors and dampened aerosol effects by weakly nudging their aerosol baseline and sensitivity simulations toward an idealized free-run climate simulation using a relaxation coefficient that approximates a time scale of 6 h. This time scale is longer than the lifetime of a cloud and is thus suppressing secondary feedbacks rather than actual ACI radiative forcing ( Kooperman et al. 2012 ). The FDDA free

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William H. Raymond, William S. Olson, and Geary Callan

366MONTHLY WEATHER REVIEWVOLUME 123Diabatic Forcing and Initialization with Assimilation of Cloud Water and ,Rainwater in a Forecast Model WILLIAM H. RAYMOND AND WILLIAM S. OLSON*Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin, Madison, Wisconsin ~JEARY CALLANNational Environmental Satellite Dam and Information Service ( NOAA ), Madison, Wisconsin(Manuscript received 25 August 1993, in final form 8 June 1994

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Gregory P. Byrd and Stephen K. Cox

JANUARY 1984 GREGORY P. BYRD AND STEPHEN K. COX 173A Case Study of Radiative Forcing upon a Tropical Cloud Cluster System GREGORY P. BYRD! AND STEPHEN K. COXDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523(Manuscript received 11 August 1982, in final form 5 August 1983)ABSTRACT Tropospheric radiative convergence profiles from Cox and Griffith are used to assess the

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Jayesh Phadtare and G. S. Bhat

of strong and weak synoptic forcing compare? Addressing this question is the main objective of the paper. We also examine the dependence of preferred locations and timings of MCS triggering in relation to the synoptic forcing field. The paper is organized as follows. Study area, data, and method are described in section 2 . Section 3 presents some case studies of evolution of deep convective clouds in the presence of synoptic forcing. Section 4 presents characteristics of deep clouds with

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Angela Benedetti and Marta Janisková

cloud optical depths were compared to sets of different independent observations. Figure 15 shows some of the results for the shortwave and longwave cloud forcings (SWCF and LWCF, respectively) at the top of atmosphere (TOA) and for precipitation averaged over the tropical belt between 20°N and 20°S for April 2006. The TOA radiative forcings obtained from the model runs were compared against the Clouds and the Earth’s Radiant Energy System (CERES) products ( Wielicki et al. 1996 ). The surface

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Jeffrey Frame and Paul Markowski

simulations. The soil model is the two-layer force-restore scheme described by Noilhan and Planton (1989) . The National Aeronautics and Space Administration (NASA) Goddard Cumulus Ensemble radiative transfer model was used for both shortwave ( Chou 1990 , 1992 ; Chou et al. 1998 ) and longwave ( Tao et al. 1996 ; Chou et al. 1999 ) radiation. This model allows for the absorption, scattering, and emission of radiation by atmospheric constituents, including clouds and gases. The tilted independent

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Shirley A. Janes, Henry W. Brandli, and John W. Orndorff

over land.A rare case where a rope cloud is depicted over land is discussed. The passage of this cloud through CapeCanaverai's Air Force Station Weather Information and Display/WIND System shows the rope cloud tohave the characteristics of a cold front.1, Introduction Frontal cloud bands have been vividly depicted onsatellite imageries since our first m.eteorological satellitewas launched. Meteorologists, depending on theirindividual training and experience, use frontal symbolism (blue lines

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Donald C. Norquist

1. Introduction U.S. Air Force mission planners can benefit greatly from a prediction of the future state of cloud distribution in a locale of interest. Clouds impact choices of weapons systems, air combat strategies, ground surveillance opportunities, and aviation operations requiring visual line-of-sight. For these reasons and more, the U.S. Air Force considers cloud prediction a high priority in mission support requirements. The cloud variables of highest interest to the

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H. Chepfer, M. Chiriaco, R. Vautard, and J. Spinhirne

biased, the simulated values being most of the time larger than the measured one as soon as RHw reaches 100%, while there is no evident link with temperature. 6. Discussion The previous results show that simulated and observed lidar signal profiles differ significantly when both observations and simulations detect a cloud. These differences can be caused by errors in the thermodynamical fields used to force the model, the cloud scheme within the model, and the hypothesis done in ActSim for simulating

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