PPT-Why are uncertainties important for users of LST data?
Author : layla | Published Date : 2024-02-09
Claire Bulgin University of Reading National Centre for Earth Observation Background Every measurement we make both insitu or remotely sensed deviates from the
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Why are uncertainties important for users of LST data?: Transcript
Claire Bulgin University of Reading National Centre for Earth Observation Background Every measurement we make both insitu 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. Phys. Accuracy and Precision. The . accuracy. of a measurement tells you how close the measurement is to the “true” or accepted value. . The . precision. of a measurement tells you something about the . Problem Solving class 1 for Physics 1A and Higher Physics 1A. What are problem solving classes?. These form a bridge between lecture material, labs and the exam.. In some problem solving classes you will be introduced to material covered in the lab part of the course.. 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). Aims. To be able to calculate the percentage uncertainty of a measurement. To be able to combine these uncertainties to evaluate the overall uncertainty in a derived result. A Speed camera takes two images of a moving car and works out speed by calculating distance/time. How do you think this image would help somebody appeal their fine in court?. A Practical Guide. What you should already know well. What you need to know, . and use. , in this lab. More details available in handout ‘Introduction to Experimental Error’ (2. nd. Year Web page).. Olaf Stiller, Axel Seifert . and. Martin Köhler. Deutscher Wetterdienst, Offenbach, Germany. An NWP perspective:. scientific understanding . . capability to model . .. Uncertainties in . JUNIOR TIDAL. WEB SERVICES & MULTIMEDIA LIBRARIAN. NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY. April 6. th. , 2016. INTRODUCTIONS. . WHAT’S . THIS WORKSHOP ABOUT, ANYWAY?. WHAT IS USABILITY?. WHY USABILITY IMPORTANT. radiometry. Peter Minnett. 1. , Gary Corlett. 2. & . ISSI Team. 1. Rosenstiel School of Marine and Atmospheric Science. University of Miami. 2. University of Leicester, Department of Physics and Astronomy. Africa Regional Workshop on the Building of Sustainable National. Greenhouse Gas Inventory Management Systems, and the use of the 2006. IPCC Guidelines for National Greenhouse Gas Inventories. Swakopmund. What are problem solving classes?. These form a bridge between lecture material, labs and the exam.. In some problem solving classes you will be introduced to material covered in the lab part of the course.. www.chemactive.com. IB Chemistry HL. 2009/2010. 11.1 Uncertainty and error in measurement. 11.2 Uncertainties in calculated results. 11.3 Graphical techniques. www.chemactive.com. Measurement and data processing. 1.2 – Uncertainties and errors. Essential idea:. . Scientists aim towards designing experiments that can give a “true value” from their measurements, but due to the limited precision in measuring devices, they often quote their results with some form of uncertainty.. Calibration from Integral Data. A.Trkov. , . R.Capote. , O. Cabellos. IAEA, Vienna, Austria. ETSII/UPM Madrid, Spain. Background. Current IAEA CIELO . covariances. based on measured differential data lead to large uncertainties in criticality benchmarks (. Guus . Velders. The Netherlands. (. RIVM. ). Guus. . Velders. 2. Focus on Ozone-Depleting Substances. Projections of gases controlled by the Montreal Protocol. CFCs, halons, HCFCs, carbon tetrachloride, methyl chloroform, CH.
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