PPT-Milankovitch Cycle Evolution and Uncertainty

Dave Waltham Outline C rollMilankovitch cycles Application to c yclostratigraphy EarthMoon system evolution The timevarying drag problem Timeevolution of CM cycles and their big uncertainties. CARBON DIOXIDE Gerald E. Marsh Argonne National Laboratory (Ret) 5433 East View Park Chicago, IL 60615 E-mail: gemarsh@uchicago.edu Abstract. The existing understanding of interglacial periods is tha sources:. sensory/processing noise. ignorance. change. consequences:. inference. learning. coding:. distributional/probabilistic population codes. neuromodulators. Multisensory Integration. +.  . apply the previous analysis:. Cycle. Historical Climate Change. During warm, interglacial periods denoted by the grey bars, the concentrations of greenhouse gases, CO. 2. and CH. 4. , were higher than during the colder, glacial periods.. Denition :Anr-cycleisdenotedby(i1i2:::ir):Example :11=(1)1cycle1212=(1)1cycle1221=(12)2cycle123321=(13)2cycle123231=(123)3cycle12344312=(1423)4cycle1234535421=(13425)5cycle12345 Rrs. ) and output ocean color data:. a brief review. Stéphane. . Maritorena. – ERI/UCSB. Uncertainties in output products. Ideally, the uncertainties associated with ocean color products should be determined through comparisons with in situ measurements (matchups). uncertainty. . Survival under . uncertainty. The . divide and conquer strategy . is useful for . uncertainty management . as even though an immediate short-term decision . is deemed . imperfect later, it has the benefit of reducing . Aoife McCloskey. Supervisors: D. Shaun Bloomfield & Peter T. Gallagher. Using Sunspot . Group . Evolution . to . Forecast . Solar Flares. Most . current forecasting techniques use . point-in-time. Or. “. From Millennia to Hours: The Decreasing Scales of the Orbital Theory of Multin Milankovitch. ”. Adapted from. Dr. Randy Cerveny. Presidential Professor, ASU. Milankovitch Theory. Milutin Milankovitch. Milankovitch Cycles. A Science Sisters Production 2017. Learning Target. I can explain the connections between the Milankovitch Cycles and the current phenomenon of global warming.. Who was . Milutin. 1Overviewe the operationalrisksand deter the investment and the hiring ofnew employees These will give the pressure on the macroeconomy like GDP growth unemployment rateetcRecentlyconsiderable uncerta A. KHINE. DIVISION OF CHEMICAL PATHOLOGY. NHLS TYGERBERG . STELLENBOSCH UNIVERSITY. Laboratory Management workshop 3-6 June 2019. MEASUREMENT UNCERTAINTY. is a parameter, associated with the result of a measurement… that defines the range of the values that could reasonably be attributed to the measured quantity (UKAS). Uncertainty Essentials. Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018. Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018. Uncertainty Essentials. Definition of Measurement Uncertainty. | PAGE . 1. CEA – SPRC . | Guillaume . Krivtchik. 3rd . Technical. Workshop on Fuel Cycle Simulation. 3rd Technical Workshop on Fuel Cycle Simulation | 9-11 JULY 2018. Inspired by the uncertainty breakout session talks from TW FCS 2 – Columbia. 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..