PPT-Model Adjoint Sensitivity Impacts

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. Rolf Langland. Data Assimilation Section. Naval Research Laboratory. Monterey, CA . langland@nrlmry.navy.mil. Including . Material Provided by. Dr. Ronald M. Errico (NASA-UMBC). Santa . Fe, N.M., . 31 July . OpenAD. in action - calculating fresh-water impact on North Atlantic with . OpenAD. .. Chris, Jean and Patrick. Adventures with a totally. a. wesome . OpenAD. machine in my basement, investigating whether I can use . P. otential solutions could have had operational impacts. Solutions now appear benign (incl. new Arianne lift capability). . Pointing Transients – . V. ariety of pointing issues had potential science impacts (e.g., . Chip Helms. The Idealized Model: CM1. Created by George Bryan (NCAR). 3D, non-hydrostatic, non-linear, cloud-resolving, idealized model. No data assimilation. Uses a horizontally constant field for the base state. kernels for finite-frequency signals: Applications in migration velocity updating and tomography. Xiao-Bi . Xie. University of California at Santa Cruz. Sanya. , China July 24-28, 2011. A brief introduction. models: Examples. ATM 569. Fovell. Fall . 2015. (See course notes, Chapter 16). 1. Integrating the . adjoint. 2. (1) Run the control model to time . N. and save . C. n. every time step. (2) Initialize . OpenAD. in action - calculating fresh-water impact on North Atlantic with . OpenAD. .. Chris, Jean and Patrick. Adventures with a totally. a. wesome . OpenAD. machine in my basement, investigating whether I can use . Rolf Langland. Data Assimilation Section. Naval Research Laboratory. Monterey, CA . langland@nrlmry.navy.mil. Including . Material Provided by. Dr. Ronald M. Errico (NASA-UMBC). Santa . Fe, N.M., . 31 July . . - inverse model . components (structure . / data flow. ). - building process (code versioning/sync. .). Model development. . - develop based on v11-02. . - get GCHP to run . backwards (could be trivial). Fovell. Fall 2018. (See course notes, Chapter 16). 1. Motivation. We often look at a forecast and wonder “where did this come from” and “how could this be changed”, especially if it involves model error. 5 July 2018 . Nikki . Privé. R.M. . 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.. Interannual aggregate dollar variation in U.S. economic activity that is attributable to weather variability could be 3.4%, or $485 billion of the 2008 gross domestic product.eather directly and indir ATM 562. Fovell. Fall 2021. (See course notes, Chapter 17). 1. Recap of theory. 2. Background: integrate model. Initial condition is . u. 0. . Integrate for . N. time steps.. We can relate the . final forecast. cyclone intensity . change. : Irma (2017). Michael C. Morgan and . Zhaoxiangrui. He. University of Wisconsin - Madison. Motivation. Three key questions regarding TC intensity:. What is the maximum intensity a TC may achieve in a given environment? .