Showing 1 - 20 results of 108 for search '"month"', query time: 0.08s Refine Results
  1. 1

    PLANETARY CANDIDATES OBSERVED BY KEPLER. III. ANALYSIS OF THE FIRST 16 MONTHS OF DATA by Demory, Brice-Olivier

    Published 2015
    “…New transiting planet candidates are identified in 16 months (2009 May-2010 September) of data from the Kepler spacecraft. …”
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    Seasonal Cycles of Along-Track Tropical Cyclone Maximum Intensity by Gilford, Daniel M., Susan, Solomon, Emanuel, Kerry Andrew

    Published 2020
    “…To directly compare observed and potential intensities, one must account for month-to-month variability in TC tracks and frequencies. …”
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  5. 5

    Variability of the Indo-Pacific Ocean exchanges by Wunsch, Carl Isaac

    Published 2011
    “…General characteristics are an intense month-to-month noise, only weak trends, and an important annual cycle (which is not the focus of attention). …”
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  6. 6

    On the Identification of the Downward Propagation of Arctic Stratospheric Climate Change over Recent Decades by Solomon, Susan, Thompson, David W. J., Ivy, Diane J

    Published 2014
    “…Dynamical coupling between the stratospheric and tropospheric circumpolar circulations in the Arctic has been widely documented on month-to-month and interannual time scales, but not on longer time scales. …”
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  7. 7

    Phase unlocking and the modulation of tropopause‐level trace gas advection by the quasibiennial oscillation by Shah, Kasturi, Solomon, Susan, Kinnison, Douglas, Fu, Qiang, Thompson, David WJ

    Published 2023
    “…Individual simulations of the 10-member ensemble display phase-unlocking disruptions from this general pattern due to seasonally varying synchronizations between the model's repeating 28-month QBO cycle and the 12-month seasonal cycle. …”
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    On the Seasonal Cycles of Tropical Cyclone Potential Intensity by Gilford, Daniel Michael, Solomon, Susan, Emanuel, Kerry Andrew

    Published 2018
    “…Decomposition also shows that the stratospheric influence on outflow temperatures in the WNP delays the peak month of TC PI by a month. Keywords: Sea surface temperature; Stratosphere-troposphere coupling; Tropical cyclones; Thermodynamics; Reanalysis data; Seasonal cycle…”
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    Emergence of healing in the Antarctic ozone layer by Kinnison, Doug, Mills, Michael J., Neely, Ryan R., Schmidt, Anja, Solomon, Susan, Ivy, Diane J

    Published 2017
    “…Observations and model calculations together indicate that healing of the Antarctic ozone layer has now begun to occur during the month of September. Fingerprints of September healing since 2000 include (i) increases in ozone column amounts, (ii) changes in the vertical profile of ozone concentration, and (iii) decreases in the areal extent of the ozone hole. …”
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  12. 12

    The Feedback of Cold Wakes on Tropical Cyclones by Karnauskas, Kristopher B., Zhang, Lei, Emanuel, Kerry Andrew

    Published 2021
    “…Such cold wakes can cover substantial areas and persist for a month or longer. It has long been hypothesized that cold wakes left behind by intense TCs reduce the likelihood of subsequent TC development. …”
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    Observed changes in Brewer–Dobson circulation for 1980–2018 by Solomon, Susan

    Published 2020
    “…Significant SH radiative warming is also identified in September for 2000–2018 after excluding the year 2002 when a very rare SH stratospheric sudden warming occurred, supporting the view that healing of the Antarctic ozone layer has now begun to occur during the month of September. ©2019…”
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    Baroclinic Eddy Equilibration under Specified Seasonal Forcing by Zhang, Yang, Stone, Peter H.

    Published 2011
    “…Under a slowly varying seasonal forcing, the eddy and mean flow seasonal behavior is characterized by four clearly divided time intervals: an eddy inactive time interval in summer, a mainly dynamically determined eddy spinup time interval starting in midfall and lasting less than one month, and a quasi-equilibrium time interval for the zonal mean flow available potential energy from late fall to late spring, with a mainly external forcing determined spindown time interval for eddy activity from late winter to late spring. …”
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    Two Configurations of the Western Arctic Shelfbreak Current in Summer by Von Appen, Wilken-Jon, Pickart, Robert S.

    Published 2012
    “…Two dynamically distinct states of the current are revealed in the absence of wind, with each lasting approximately one month. The first is a surface-intensified shelfbreak jet transporting warm and buoyant Alaskan Coastal Water in late summer. …”
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    ANALYSIS OF THE EARLY-TIME OPTICAL SPECTRA OF SN 2011fe IN M101 by Polishook, David

    Published 2015
    “…We present 18 high signal-to-noise spectra of SN 2011fe during its first month beginning 1.2 days post-explosion and with an average cadence of 1.8 days. …”
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    Investigating Solution Convergence in a Global Ocean Model Using a 2048-Processor Cluster of Distributed Shared Memory Machines by Menemenlis, Dimitris, Ciotti, Bob, Henze, Chris, Hill, Christopher N.

    Published 2015
    “…At this resolution it is possible to simulate approximately one month of ocean dynamics in about 17 hours of wallclock time with a model timestep of two minutes on a cluster of four 512-way NUMA Altix systems. …”
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    GRGM900C: A degree 900 lunar gravity model from GRAIL primary and extended mission data by Lemoine, Frank G., Goossens, Sander, Sabaka, Terence J., Nicholas, Joseph B., Mazarico, Erwan Matias, Rowlands, David D., Loomis, Bryant D., Chinn, Douglas S., Neumann, Gregory A., Smith, David Edmund, Zuber, Maria

    Published 2015
    “…The model fits the Extended Mission Ka-Band Range Rate data through 17 November 2012 at 0.13 μm/s RMS, whereas the last month of Ka-Band Range-Rate data obtained from altitudes of 2–10 km fit at 0.98 μm/s RMS, indicating that there is still signal inherent in the tracking data beyond degree 900.…”
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    Moisture-radiative cooling instability by Beucler, Tom G., Cronin, Timothy Wallace

    Published 2018
    “…We find that clear‐sky MRCI is satisfied across a range of locations and seasons in the real tropical atmosphere, with a partial growth rate of ∼1 month.…”
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    GroningenNet: Deep Learning for Low-Magnitude Earthquake Detection on a Multi-Level Sensor Network by Shaheen, Ahmed, Waheed, Umair bin, Fehler, Michael, Sokol, Lubos, Hanafy, Sherif

    Published 2021
    “…We compare the prediction accuracy of our trained CNN model to that of the STA/LTA and template matching algorithms on a two-month continuous record. We demonstrate that the CNN model shows significantly better performance than STA/LTA and template matching in detecting new events missing from the catalog and minimizing false detections. …”
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