PPT-Adjoint estimation of observation impact explored with an Observing System Simulation

5 July 2018 Nikki Privé RM Errico What is an OSSE A long free model run is used as the truth the Nature Run The Nature Run fields are used to back out synthetic observations from all current and new observing systems. S. . Akella. , A. da Silva, C. Draper, R. . Errico. , D. . Holdaway. , R. . Mahajan. , N. . Prive. , B. Putman. , . R. . . Riechle. , M. Sienkiewicz, M. Suarez, R. . Todling. , . R.Gelaro. Ongoing. Major contributions to GSI development. ：. 观测系统模拟实验和. 目标观测方法. 謝元富. ,. 王宏利. 張宇，. Zoltan Toth. Global Systems Division. Earth System Research . Lab. Outline. NOAA observation systems. How to optimally design an observation system. Why do we simulate . The reason why one develops a simulation model is because one needs to estimate various performance measures. . These measures are obtained by collecting and analyzing endogenously created data. . 1. 2. Operational ECMWF system September to December 2008. Averaged over all model layers and entire global atmosphere. % contribution of different observations to reduction in forecast error.. Courtesy: Carla Cardinali. Systematic Data . Collection Approach. Characteristics of Observation. Prolonged engagement . in a setting or social situation in order to:. become oriented to the situation so that the context is appreciated and understood. Sean P.F. Casey. 1,2,3,4. , Michiko Masutani. 3,5. , Jack Woollen. 3,5. , . Lars Peter Riishojgaard. 2,3. , Tong Zhu. 3,4. and . Zaizhong. Ma. 2,3,4. 1. Cooperative Institute for Climate and Satellites (CICS). Benjamin Ruston. Steve Swadley, Nancy Baker, . Rolf . Langland. NRL, . Monterey, . CA. Outline. Gather information about instrument: . What are previous sensors or instruments, how have they been used?. systems. Michiko . Masutani. [1,2,#], Jack S. . Woollen. [1,+], Sean Casey [2.$], . Tong Zhu[3,@], . Zaizhong. Ma[3,$], Lidia . Cucurull. [1]. Lars Peter . Riishojgaard. [2. ,$], Steve Greco [. 5], . Dr. . Feng Gu. Weather Prediction Example. Possible models to predict the weather tomorrow. . 1. Mystery-based models . (e.g., whenever my right eyelid twitches, it is going to rain tomorrow) . Lia Busse. Julie Hahn. Sean Hayes. Date: April 11, 2017. Improving Michigan Medicine’s Supply Chain Management of Hospital Supplies. Final Presentation. . Introduction. Supply Chain at Michigan Medicine. Dr. . Feng Gu. Weather Prediction Example. Possible models to predict the weather tomorrow. . 1. Mystery-based models . (e.g., whenever my right eyelid twitches, it is going to rain tomorrow) . The Art of Observing: Purposeful Data Rhonda L. McKay, MAT What do you mean by observation? Why do you observe? Why should you observe? How much time do you spend observing in your classroom? … Actually sitting in a chair and only observing 7to collect data Direct observation is the collection of information using your senses By observing you can document activities behavior and physical aspects of a situation without having to depend on Cristina Thomas (Northern Arizona University). Andy Rivkin (JHU-APL). & the Observing Working Group. Level 1. WG Objective. WG Task. 3. Determine . Didymos. system properties. 2019 , 2020-2021 observations.