PPT-Observations Data Model 2.0

Jeff Horsburgh USU Project PI Anthony K Aufdenkampe Stroud Water Research Center Kerstin Lehnert IEDA Columbia Emilio Mayorga UWAPL Ilya Zaslavsky SDSC. P. Lewis. What is Data Assimilation?. Optimal merging of models and data. Models. Expression of current understanding about process. E.g. terrestrial C model. Data. Observations. E.g. EO. . Some basic stats. Data Assimilation. Takemasa. Miyoshi. Data Assimilation Research Team. Takemasa.Miyoshi@riken.jp. February 8. , 2013, . AICS Cafe. With many thanks to. Data Assimilation Research Team,. E. . . Kalnay. Michael D. McAtee. Environmental Satellite Systems Division (ESSD). User Applications and Integration (UA&I). The Aerospace Corporation. ESSD/UA&I. May 2014. Approved for Public Release – Distribution Unlimited . Soroush Sotoudeh. . (University of Minnesota). Daniel . Weisz. , Andrew Dolphin, Evan Skillman. 06/29/2015 – . STScI. Workshop on IMF. Outline. Introduction. Observations and data. IMF analysis and results. T. echnique to Remove . T. idal . I. nfluence from ADCP Measurements. Justin Gilchrist, Alex Davies and . Ajoy. Kumar.. Millersville University, Department of Earth Sciences.. Introduction. Acoustic . Horneffer. . Status of MKSP . LOFAR Observations. Contents. Where we . are. Old observations. Cycle-0 observations. Open . Issues. My list of Milestones. Cycle-0 and Cycle-1 Observations. M51. E. arly Image. Data Assimilation. Takemasa. Miyoshi. Data Assimilation Research Team. Takemasa.Miyoshi@riken.jp. February 8. , 2013, . AICS Cafe. With many thanks to. Data Assimilation Research Team,. E. . . Kalnay. S. imulations in a Multi-scale Climate . M. odeling . F. ramework. Gabriel J. . Kooperman. , Michael S. Pritchard,. a. nd Richard C. J. Somerville. Scripps Institution of Oceanography. University of California, San Diego. Compiled by Henrik . Vedel. Center for Meteorological Models (CMM). Danish Meteorological Institute. NWP is an” initial . value. problem”. . We. . need. a NWP model . field. to start . an NWP model simulation from. Nuria Marcelino. North American ALMA Science Center. Simulating Interferometer Data. Take a model image and simulate how it would look if observed by ALMA or the. JVLA. .. Other arrays (e.g., SMA, CARMA, etc.) also included. Jeremy Berman. University at Albany. Thursday 03 May 2018. ATM 419/563. Outline. Data Assimilation (DA). At the end, you should know:. What is it?. How it works?. Why is it important?. Basic DA techniques. GAM models. Claudia von Brömssen. Dept. of Energy and Technology. Mixed models- dependent observations. Statistical models always require . independent observations. .. If observations are . not independent . Privé. 22 November 2021. What is an Observing System . Simulation Experiment?. . 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. Nikki . Privé. 1 June 2023. Image: . Lahoz. , W. and P. Schneider, Front. Environ. Sci., 2014, with permission from the author. Data assimilation combines observations and a prior forecast to generate a new initial condition (“analysis”).