PPT-1 Introduction to Adjoint Methods in Meteorology

Author : aaron | Published Date : 2018-12-15

Rolf Langland Data Assimilation Section Naval Research Laboratory Monterey CA langlandnrlmrynavymil Including Material Provided by Dr Ronald M Errico NASAUMBC

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1 Introduction to Adjoint Methods in Meteorology: Transcript


Rolf Langland Data Assimilation Section Naval Research Laboratory Monterey CA langlandnrlmrynavymil Including Material Provided by Dr Ronald M Errico NASAUMBC Santa Fe NM 31 July . from . Alumni. Congratulations to everyone who has been a part of 75 years of successful advancement of the field, and in spreading Penn State's name far and wide.. It’s good to know people almost everywhere who have passed through these halls at one point in history. Wish we could be there! . Three meteorology forecasters located at AOC for duration of field operations. Senior or lead forecaster. Junior or student forecaster. NWS representative. One chemical forecaster. One of meteorology forecasters if experienced. 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 . Careers in meteorology and environmental physics. Department of Meteorology. Pathway to Careers . in Meteorology and . Environmental Physics. Step 1 . ABB - 3 good A levels, including. A or B Physics and Maths. 2011. Staff of 42. Annual budget $6.5 million. 1,185 universities have participated in . COMET activities since 1990. 600 hours of online distance learning. 10 weeks of residence courses and . virtual courses. 04: . Meteorology. Predicting the Weather. Why is predicting the weather important?. Why is accuracy in predicting the weather important?. Are weather predictions. always accurate?. . - let’s talk about . 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 . Continuous Problems. . Fr. é. chet. Derivatives. Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . 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. Daniel Holdaway, . Yannick . Trémolet. , Anna . Shlyaeva. , Mark . Miesch. , . Stephen . Herbener. , Guillaume . Vernieres. , Rahul Mahajan and Jong Kim . Joint Center for Satellite Data Assimilation (JCSDA). 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.. Lecture 21 Continuous Problems Fr é chet Derivatives Syllabus Lecture 01 Describing Inverse Problems Lecture 02 Probability and Measurement Error, Part 1 Lecture 03 Probability and Measurement Error, Part 2 Kerry Emanuel. Synopsis. Founding of Meteorology at MIT. WWII and the Beginnings of the Department of Meteorology. Oceanography at MIT. Merger with EPS. The Future. Carl-Gustav Rossby (1898-1957). Rossby in 1933. Geodynamics (ZAMG) Hohe Warte 38 A - 1190 - Vienna AUSTRIA Royal Meteorological Institute of Belgium (RMI) Avenue Circulaire 3, B 1180 - Brussels BELGIUM Meteorological and Hydrological Service of

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