PPT-The Diurnal Cycle

of Salinity Kyla Drushka 1 Sarah Gille 2 Janet Sprintall 2 kdrushkaapluwedu 1 Applied Physics Lab Univ of Washington 2 Scripps Inst of Oceanography Aquarius Science Team Meeting. in . Near. -Surface Salinity. Kyla Drushka. 1. , . Sarah . Gille. 2. , Janet . Sprintall. 2. . kdrushka. @. apl.uw.edu. 1. Applied . Physics Lab, Univ. of . Washington . 2. Scripps Inst. of Oceanography. Qian Tan (USRA), . Mian. Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), . Hongbin. Yu (UMD), . Caterina. . Tassone. (NOAA. ), Yan Zhang (MSU), . EPA/AQS, NASA/AERONET, NOAA/NCDC . Outline. Diurnal variability of surface PM2.5. Carl Mears. Remote Sensing Systems. Why do we care about . the diurnal cycle?. Most polar orbiting satellites drift in local measurement time – need estimate of diurnal cycle to adjust for this.. Model validation studies. Liu et al. 2010. Review By: . Gus . Alaka. and Doug . Stolz. 20 February 2014. ATS 780. Background. C. T. R. Wilson’s Hypotheses: . Thunderstorms . AND. electrified shower clouds are the “batteries” of the global DC electrical circuit. Adopted (with permission) and later tested by F. Whipple.. precipitation variability over the Gulf Stream and . the Kuroshio. Shoshiro Minobe . and Shogo . Takabeyashi. (Hokkaido University, Sapporo, Japan) . Outline. . Introduction. . Global View. . Gulf Stream . Thermotidal and land-heating forcing of the diurnal cycle of oceanic surface winds in the eastern tropical Pacific*. Reuni. ón LMI DISCOH, 29 de marzo, 2012. IMARPE, Callao. * Geophysical Research Letters, . 7:. . Comparison of gene expression during seed development and diurnal rhythm in rice and Arabidopsis seed development networks. Green-to-red color set represents expression fold changes (A) between 0-2DAP and 21-29DAP stages of rice seed development and (B) in Arabidopsis seed between 5-13DAF. Blue-to-red color set represents diurnal phase of expression in (A) rice seedlings and (B) Arabidopsis seedlings. Nodes that are grey in both A and B denote genes that were not queried. Nodes that are colored in the rice network but are grey in the Arabidopsis network indicate genes that lack a homolog in Arabidopsis. Panels were colored in sea green when expression values were not available. A quick visual scan of the two networks identifies similarities and differences in diurnal gene expression in the two species. For example, contrasting diurnal expression pattern is displayed by rice . Richard H. Johnson. Colorado State University. T. . Ushiyama. (Andy . Newman , Brian . McNoldy. , and Paul . Ciesielski. ). MAHASRI/. HyARC. workshop, 5-7 March 2009, . DaNang. , Vietnam . Why do we care about the diurnal cycle?. the Impact of Islands on the Tropical Climate. Timothy W. . Cronin*, Kerry A. Emanuel. Program in Atmospheres, Oceans, and Climate, Massachusetts . Institute of . Technology. 77 . Massachusetts Avenue, Cambridge . Tang, S., P. . Gleckler. , S. . Xie. , J. Lee, C. Covey, C. Zhang, M.-S. . Ahn. , 2021: Evaluating Diurnal and Semi-Diurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations. . of the UM in different parts of the world.. Humphrey Lean, Kirsty Hanley, Stuart Webster, Will Keat, Thorwald Stein, Todd Lane, Martin Jucker, Elizabeth Kendon and Giorgia Fosser. Met Office has run 1.5km UK version of Unified Model for about 10 years (UKV). . - rence of diurnal metal cycles has significant impli - cations for how we study and monitor the envi - ronment. DIURNAL METAL CYCLES Daily variations in dissolved metal concentrations are shown in fi Claire . Bulgin. University. of Reading, National Centre for . Earth. Observation. Background. Every measurement we make (both in-situ or remotely sensed) deviates from the ‘true’ surface temperature due imperfections in the instrumentation and measurement process. Therefore, in order to use the data correctly, you must consider the uncertainty in the measurement.. Use NOAA Unique Combined Atmospheric Processing System (NUCAPS) Satellite Soundings to observe the tropical cyclone (TC) diurnal cycle. infrared (IR) and microwave (MW) soundings. Three case studies: Hurricanes Dorian (2019), Florence (2018), Irma (2017).